Class 10th Mathematics Tamilnadu Board Solution
Exercise 7.1- cos^2 θ + sec^2 θ = 2 + sinθ Determine whether each of the following is an…
- cot^2 θ + cosθ = sin^2 θ Determine whether each of the following is an identity…
- sec^2 θ + cosec^2 θ = sec^2 θ cosec^2 θ Prove the following identities…
- sintegrate heta /1-costheta = cosectheta +cottheta Prove the following…
- root 1-sintegrate heta /1+sintegrate heta = sectheta -tantheta Prove the…
- costheta /sectheta -tantheta = 1+sintegrate heta Prove the following identities…
- root sec^2theta +cosec^2theta = tantheta +cottheta Prove the following…
- 1+costheta -sin^2theta /sintegrate heta (1+costheta) = cottheta Prove the…
- secθ (1 - sinθ)(secθ + tanθ) = 1 Prove the following identities
- sintegrate heta /cosectheta +cottheta = 1-costheta Prove the following…
- sin (90^circle - theta)/1+sintegrate heta + costheta /1-cos (90^circle - theta)…
- tantheta /1-cottheta + cottheta /1-tantheta = 1+sectheta cosectheta Prove the…
- sin (90^circle - theta)/1-tantheta + costheta (90^circle - theta)/1-cottheta =…
- tan (90^circle - theta)/cosectheta +1 + cosectheta +1/cottheta = 2sectheta…
- cottheta +cosectheta -1/cottheta -cosectheta +1 = cosectheta +cottheta Prove…
- (1 + cotθ - cosec θ)(1 + tanθ + secθ) = 2 Prove the following identities.…
- sintegrate heta -costheta +1/sintegrate heta +costheta -1 = 1/sectheta…
- tantheta /1-tan^2theta = sintegrate heta sin (90^circle - theta)/2sin^2…
- 1/cosectheta -cottheta - 1/sintegrate heta = 1/sintegrate heta - 1/cosectheta…
- cot^2theta +sec^2theta /tan^2theta +cosec^2theta = (sintegrate heta costheta)…
- If x = a secθ + b tanθ and y = a tanθ + b secθ, then prove that x^2 - y^2 = a^2…
- If tanθ = n tanα and sinθ = m sinα, then prove that cos^2theta = m^2 - 1/n^2 - 1…
- If sinθ, cosθ and tanθ are in G.P., then prove that cot^6 θ - cot^2 θ = 1.…
Exercise 7.2- A ramp for unloading a moving truck has an angle of elevation of 30°. If the top…
- A girl of height 150 cm stands in front of a lamp-post and casts a shadow of…
- Suppose two insects A and B can hear each other up to a range of 2 m. The insect…
- To find the cloud ceiling, one night an observer directed a spotlight vertically…
- A simple pendulum of length 40 cm subtends 60° at the vertex in one full…
- Two crows A and B are sitting at a height of 15 m and 10 m in two different…
- A lamp-post stands at the centre of a circular park. Let P and Q be two points…
- A person in an helicopter flying at a height of 700 m, observes two objects…
- A person X standing on a horizontal plane, observes a bird flying at a distance…
- A student sitting in a classroom sees a picture on the black board at a height…
- A boy is standing at some distance from a 30 m tall building and his eye level…
- From the top of a lighthouse of height 200 feet, the lighthouse keeper observes…
- A boy standing on the ground, spots a balloon moving with the wind in a…
- A straight highway leads to the foot of a tower. A man standing on the top of…
- The angles of elevation of an artificial earth satellite is measured from two…
- From the top of a tower of height 60 m, the angles of depression of the top and…
- From the top and foot of a 40 m high tower, the angles of elevation of the top…
- The angle of elevation of a hovering helicopter as seen from a point 45 m above…
Exercise 7.3- (1 sin^2)sec^2 = Choose the correct answer:A. 0 B. 1 C. tan^2 θ D. cos^2 θ…
- (1 + tan^2)sin^2 = Choose the correct answer:A. sin^2 θ B. cos^2 θ C. tan^2 θ D.…
- (1 cos^2)(1 + cot^2) = Choose the correct answer:A. sin^2 θ B. 0 C. 1 D. tan^2 θ…
- sin(90)cos + cos(90) sin = Choose the correct answer:A. 1 B. 0 C. 2 D. -1…
- 1 - sin^2theta /1+costheta = Choose the correct answer:A. cos θ B. tan θ C. cot…
- cos^4 x sin^4 x = Choose the correct answer:A. 2sin^2 x - 1 B. 2cos^2 x - 1 C. 1…
- If tantheta = a/x , then the value of x/root a^2 + x^2 = Choose the correct…
- If x = a sec, y = b tan , then the value of x^2/a^2 - y^2/b^2 = Choose the…
- sectheta /cottheta +tantheta = Choose the correct answer:A. cot θ B. tan θ C.…
- sin (90^circle - theta) sintegrate heta /tantheta + cos (90^circle - theta)…
- In the adjoining figure, AC = Choose the correct answer:A. 25 m B. 25√3 m C.…
- In the adjoining figure ABC = Choose the correct answer:A. 45° B. 30° C. 60° D.…
- A man is 28.5 m away from a tower. His eye level above the ground is 1.5 m. The…
- In the adjoining figure, sintegrate heta = 15/17 . Then BC = a_s^mathscrn…
- (1 + tan^2)(1 sin)(1 + sin) = Choose the correct answer:A. cos^2 θ - sin^2 θ B.…
- (1 + cot^2)(1 cos)(1 + cos) = Choose the correct answer:A. tan^2 θ - sec^2 θ B.…
- (cos^2 1)(cot^2 + 1) + 1 = Choose the correct answer:A. 1 B. -1 C. 2 D. 0…
- 1+tan^2theta /1+cot^2theta = Choose the correct answer:A. cos^2 θ B. tan^2 θ C.…
- sin^2theta + 1/1+tan^2theta = Choose the correct answer:A. cosec^2 θ + cot^2 θ…
- 9tan^2 9 sec^2 = Choose the correct answer:A. 1 B. 0 C. 9 D. -9
- cos^2 θ + sec^2 θ = 2 + sinθ Determine whether each of the following is an…
- cot^2 θ + cosθ = sin^2 θ Determine whether each of the following is an identity…
- sec^2 θ + cosec^2 θ = sec^2 θ cosec^2 θ Prove the following identities…
- sintegrate heta /1-costheta = cosectheta +cottheta Prove the following…
- root 1-sintegrate heta /1+sintegrate heta = sectheta -tantheta Prove the…
- costheta /sectheta -tantheta = 1+sintegrate heta Prove the following identities…
- root sec^2theta +cosec^2theta = tantheta +cottheta Prove the following…
- 1+costheta -sin^2theta /sintegrate heta (1+costheta) = cottheta Prove the…
- secθ (1 - sinθ)(secθ + tanθ) = 1 Prove the following identities
- sintegrate heta /cosectheta +cottheta = 1-costheta Prove the following…
- sin (90^circle - theta)/1+sintegrate heta + costheta /1-cos (90^circle - theta)…
- tantheta /1-cottheta + cottheta /1-tantheta = 1+sectheta cosectheta Prove the…
- sin (90^circle - theta)/1-tantheta + costheta (90^circle - theta)/1-cottheta =…
- tan (90^circle - theta)/cosectheta +1 + cosectheta +1/cottheta = 2sectheta…
- cottheta +cosectheta -1/cottheta -cosectheta +1 = cosectheta +cottheta Prove…
- (1 + cotθ - cosec θ)(1 + tanθ + secθ) = 2 Prove the following identities.…
- sintegrate heta -costheta +1/sintegrate heta +costheta -1 = 1/sectheta…
- tantheta /1-tan^2theta = sintegrate heta sin (90^circle - theta)/2sin^2…
- 1/cosectheta -cottheta - 1/sintegrate heta = 1/sintegrate heta - 1/cosectheta…
- cot^2theta +sec^2theta /tan^2theta +cosec^2theta = (sintegrate heta costheta)…
- If x = a secθ + b tanθ and y = a tanθ + b secθ, then prove that x^2 - y^2 = a^2…
- If tanθ = n tanα and sinθ = m sinα, then prove that cos^2theta = m^2 - 1/n^2 - 1…
- If sinθ, cosθ and tanθ are in G.P., then prove that cot^6 θ - cot^2 θ = 1.…
- A ramp for unloading a moving truck has an angle of elevation of 30°. If the top…
- A girl of height 150 cm stands in front of a lamp-post and casts a shadow of…
- Suppose two insects A and B can hear each other up to a range of 2 m. The insect…
- To find the cloud ceiling, one night an observer directed a spotlight vertically…
- A simple pendulum of length 40 cm subtends 60° at the vertex in one full…
- Two crows A and B are sitting at a height of 15 m and 10 m in two different…
- A lamp-post stands at the centre of a circular park. Let P and Q be two points…
- A person in an helicopter flying at a height of 700 m, observes two objects…
- A person X standing on a horizontal plane, observes a bird flying at a distance…
- A student sitting in a classroom sees a picture on the black board at a height…
- A boy is standing at some distance from a 30 m tall building and his eye level…
- From the top of a lighthouse of height 200 feet, the lighthouse keeper observes…
- A boy standing on the ground, spots a balloon moving with the wind in a…
- A straight highway leads to the foot of a tower. A man standing on the top of…
- The angles of elevation of an artificial earth satellite is measured from two…
- From the top of a tower of height 60 m, the angles of depression of the top and…
- From the top and foot of a 40 m high tower, the angles of elevation of the top…
- The angle of elevation of a hovering helicopter as seen from a point 45 m above…
- (1 sin^2)sec^2 = Choose the correct answer:A. 0 B. 1 C. tan^2 θ D. cos^2 θ…
- (1 + tan^2)sin^2 = Choose the correct answer:A. sin^2 θ B. cos^2 θ C. tan^2 θ D.…
- (1 cos^2)(1 + cot^2) = Choose the correct answer:A. sin^2 θ B. 0 C. 1 D. tan^2 θ…
- sin(90)cos + cos(90) sin = Choose the correct answer:A. 1 B. 0 C. 2 D. -1…
- 1 - sin^2theta /1+costheta = Choose the correct answer:A. cos θ B. tan θ C. cot…
- cos^4 x sin^4 x = Choose the correct answer:A. 2sin^2 x - 1 B. 2cos^2 x - 1 C. 1…
- If tantheta = a/x , then the value of x/root a^2 + x^2 = Choose the correct…
- If x = a sec, y = b tan , then the value of x^2/a^2 - y^2/b^2 = Choose the…
- sectheta /cottheta +tantheta = Choose the correct answer:A. cot θ B. tan θ C.…
- sin (90^circle - theta) sintegrate heta /tantheta + cos (90^circle - theta)…
- In the adjoining figure, AC = Choose the correct answer:A. 25 m B. 25√3 m C.…
- In the adjoining figure ABC = Choose the correct answer:A. 45° B. 30° C. 60° D.…
- A man is 28.5 m away from a tower. His eye level above the ground is 1.5 m. The…
- In the adjoining figure, sintegrate heta = 15/17 . Then BC = a_s^mathscrn…
- (1 + tan^2)(1 sin)(1 + sin) = Choose the correct answer:A. cos^2 θ - sin^2 θ B.…
- (1 + cot^2)(1 cos)(1 + cos) = Choose the correct answer:A. tan^2 θ - sec^2 θ B.…
- (cos^2 1)(cot^2 + 1) + 1 = Choose the correct answer:A. 1 B. -1 C. 2 D. 0…
- 1+tan^2theta /1+cot^2theta = Choose the correct answer:A. cos^2 θ B. tan^2 θ C.…
- sin^2theta + 1/1+tan^2theta = Choose the correct answer:A. cosec^2 θ + cot^2 θ…
- 9tan^2 9 sec^2 = Choose the correct answer:A. 1 B. 0 C. 9 D. -9
Exercise 7.1
Question 1.Determine whether each of the following is an identity or not.
cos2θ + sec2θ = 2 + sinθ
Answer:cos2θ + sec2θ = 2 + sinθ
Let θ = 0°
LHS = cos2θ + sec2θ = cos2θ° + sec20° = 1 +1 = 2 … (1)
RHS = 2 + sinθ = 2 + sin0° = 2 + 0 = 2 … (2)
From (1) and (2), LHS = RHS.
∴ The given equation is an identity.
Question 2.Determine whether each of the following is an identity or not.
cot2θ + cosθ = sin2θ
Answer:cot2θ + cosθ = sin2θ
Let θ = 45°.
LHS = cot2θ + cosθ = cot245° + cos45° = 1 +
=
… (1)
RHS = sin2θ = sin2(45°) = (
)2 = 1/2 … (2)
From (1) and (2), LHS ≠ RHS.
∴ The given equation is not an identity.
Question 3.Prove the following identities
sec2θ + cosec2θ = sec2θ cosec2θ
Answer:Consider LHS,
LHS = sec2θ + cosec2θ
We know that secθ =
and cosecθ = ![](data:image/png;base64,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)
⇒ sec2θ + cosec2θ =
+ ![](data:image/png;base64,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)
= ![](data:image/png;base64,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)
We know that sin2θ + cos2θ = 1.
⇒
= ![](data:image/png;base64,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)
=
× ![](data:image/png;base64,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)
= sec2θ cosec2θ = RHS
Hence proved.
Question 4.Prove the following identities
![](data:image/png;base64,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)
Answer:Consider LHS,
LHS = ![](data:image/png;base64,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)
Multiplying numerator and denominator by (1 + cosθ),
⇒
=
× ![](data:image/png;base64,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)
We know that (a + b) (a – b) = a2 – b2
⇒
= ![](data:image/png;base64,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)
We know that 1 – cos2θ = sin2θ.
⇒
= ![](data:image/png;base64,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)
=
+ ![](data:image/png;base64,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)
=
+ ![](data:image/png;base64,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)
We know that
= cosecθ and
= cotθ
∴
= cosecθ + cotθ = RHS
Hence proved.
Question 5.Prove the following identities
![](data:image/png;base64,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)
Answer:Consider LHS,
LHS = ![](data:image/png;base64,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)
Multiplying and dividing with (1 – sinθ),
⇒
= ![](data:image/png;base64,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)
We know that (a + b) (a – b) = a2 – b2
⇒
= ![](data:image/png;base64,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)
We know that 1 – sin2θ = cos2θ.
⇒
= ![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAEkAAAAuCAMAAABTXMQMAAAAAXNSR0IArs4c6QAAAJ9QTFRFAAAAAAAAAAA6AABmADo6ADpmADqQAGaQAGa2OgAAOgA6OgBmOjpmOjqQOmZmOmaQOma2OpDbZgAAZgA6ZgBmZjoAZjpmZmYAZmaQZma2ZpC2ZpDbZrb/kDoAkDo6kGY6kLbbkNv/tmYAtmY6tmaQtpBmttuQttv/tv//25A625Bm27Zm27aQ29u22////7Zm/7aQ/9uQ/9u2//+2///bgD4AdgAAAAF0Uk5TAEDm2GYAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAAZdEVYdFNvZnR3YXJlAE1pY3Jvc29mdCBPZmZpY2V/7TVxAAACO0lEQVRIS+1Wa3eiMBDN4Gqhb9nSJ7QWu6txd6Ex+f+/rTMThCCo1OZDP+yck4OYyZ1Hbm4Q4r99tgM5BHC8udHy9LOxd/ibzBeS/vnqKSd9s/SEpM68IV0UlNPf+8Xw1FYPtMY8A4ydReWE/pXTnTiSHSqbA1zjq6Lw+mahE2eZDPGFZ4SZ0+9tc5HkaLGOKWgVWd+6SPXE6jLpQ3J8TYbOjGy7q+6ddEWOkxtOcX6NrSKApxImBY5fUZAKHSP3yhGCmGfkTvlQKMedKN6PpE5TqoJykMFM5JNCx3SsGAn5zG8NEoO0kKw7QGqy4BGzZyQ7nJy6J4MpvqM68S/Bkhykpk9cXdssxe1WmPzE7SDyg5Y6SIL2LiHfHj5Xm0BbIakmh1fv2PDxUkXBTEUQ4pgK84J8oqA9/LNMEpLnB1u1quVvKX7UadmKWx4g4+A09x244SDsSRT3Y6zix18IDcf9qXgPV4+s9Rur+IGKWLEPXBwbiu+HYsVmulQ63uM+mOL6ljVjo+MOlJnzmd1zp7TiWsVu9KmZ/HN+F5BWdSlOwjFZinUCcIWrWctZsZ/wXqp13A2jIlKBzoeKycICNYse6zgUVstZkLFPjY63EpaQ1rLbTKhTllV+yBEispZX1p8TBkB17chxC4myZi2vrK9PNFXCtEtxHYeFecNbBKvLQlFp+Qaq1vE2DUw2+t39UFEJjLEyfNAXgNXyel2t41uEKuGHVfGvW4439ddReIcibyruT3v9lOYH5QPj4EGhicFmIQAAAABJRU5ErkJggg==)
= ![](data:image/png;base64,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)
= ![](data:image/png;base64,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)
We know that
= secθ and
= tanθ.
∴
= secθ + tanθ = RHS
Hence proved.
Question 6.Prove the following identities
![](data:image/png;base64,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)
Answer:Consider LHS,
LHS = ![](data:image/png;base64,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)
Multiplying and dividing with (secθ + tanθ),
⇒
=
× ![](data:image/png;base64,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)
We know that (a + b) (a – b) = a2 – b2.
⇒
= ![](data:image/png;base64,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)
We know that sec2θ - tan2θ = 1.
⇒
= ![](data:image/png;base64,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)
We know that
= secθ and
= tanθ.
⇒
= cosθ(
) + cosθ (
)
= 1 + sinθ = RHS
Hence proved.
Question 7.Prove the following identities
![](data:image/png;base64,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)
Answer:Consider LHS,
LHS = ![](data:image/png;base64,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)
We know that sec2θ = 1 + tan2θ and coesc2θ = 1 + cot2θ.
⇒
= ![](data:image/png;base64,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)
= ![](data:image/png;base64,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)
= ![](data:image/png;base64,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)
We know that tanθ cotθ = 1.
⇒
=![](data:image/png;base64,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)
We know that a2 + b2 + 2ab = (a + b)2.
⇒
=![](data:image/png;base64,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)
= (tanθ + cotθ) = RHS
Hence proved.
Question 8.Prove the following identities
![](data:image/png;base64,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)
Answer:Consider LHS,
LHS = ![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAFkAAAAmCAMAAACYoceJAAAAAXNSR0IArs4c6QAAAJBQTFRFAAAAAAAAAAA6AABmADpmADqQAGaQAGa2OgAAOgA6OgBmOjqQOmZmOmaQOma2OpDbZgAAZgBmZjoAZjpmZmaQZma2ZpC2ZpDbZrb/kDoAkDo6kGY6kLbbkNv/tmYAtmY6tmaQtpBmttv/tv/btv//25A625Bm27aQ29u22////7Zm/7aQ/9uQ/9u2//+2///bzoptxQAAAAF0Uk5TAEDm2GYAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAAZdEVYdFNvZnR3YXJlAE1pY3Jvc29mdCBPZmZpY2V/7TVxAAAB6ElEQVRIS+2WDW+CMBCGe6gD96GM6QTndHPiVlbo//936wetV6hITExMJgkhubx9e71r+0DIP374EmC4u0QBqudtlUzPcN4ATGhrXD7CsepF52y1fBOenCofbMu4nZHjzGZ6GqvdPya1M8/SI1PwTLi6CbaUxZyyhYhibe468zeA0Y6UCcATJfsIYFHFYs5igBqkwgWMqHg/oyAlVQwAclVY6zrzLKTsfic/ZRyycUryqRoGyFmH1TLyYEXWqN5Yq5x1ACBl43e5UvXJB19Z8EptHlbEVVg7168pz/GcHWcx6icJUk+dZdjrjLR8faebqjtYxSHlH1R+yiwsRlRKZb/xbjVhT84HbS5roDZUvTdYAkNRCfERW/hXdEocLdnVCdoOOsyiYMUiCMWLdmRTe3JL3wRXWgF9Pi7wXOl6b2mdVQEHGhZm37NtTzc9ZD/v5qWFmbjfxV3VA5WWf+yhbX3IzV6yStYHlYh/Kpn68VCtBl+t6kRlk5WCdca4TTUDM4PzLlQKsLms5EvFO33lN6lmYOY4H0GlgDFmpSWI9m5SzdTZn3MTlQ1Wov8WD9Vq8NWiTlSSJitRNTxUMzBTHexGJWmyEnWw4yT0U7kGeNd1WOcY2b0OY/dJQRb9T7ce5DvdvTK6AtEf3AJM6WdHqHkAAAAASUVORK5CYII=)
We know that sin2θ = 1 – cos2θ.
⇒
= ![](data:image/png;base64,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)
= ![](data:image/png;base64,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)
= ![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAFMAAAAkCAMAAADCS/ZLAAAAAXNSR0IArs4c6QAAAIdQTFRFAAAAAAAAAAA6AABmADpmADqQAGaQAGa2OgAAOgA6OgBmOjqQOmZmOmaQOma2OpDbZgAAZjoAZmaQZma2ZpC2ZpDbZrb/kDoAkDo6kGY6kLbbkNv/tmYAtmY6tmaQtpBmttv/tv//25A625Bm27aQ29u22////7Zm/7aQ/9uQ/9u2//+2///b82OrnwAAAAF0Uk5TAEDm2GYAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAAZdEVYdFNvZnR3YXJlAE1pY3Jvc29mdCBPZmZpY2V/7TVxAAABu0lEQVRIS+2VDW+CMBCGeyiDuU1hH7A53aRudQX+/+/bXQ8YGFrAGBOTXYJNkPfttb3eI8R1xxZgqWgJX4+7cSthxf7JqPpCznZ5tMJ/JP2U22DQt1boO4tpmaKV9JUwX+zvY/Ys08Tm3ShMFuUbgJ+JPAZ4IIMQ4KWIUHyYZZwm2nc8nQqhFzh3oPQioyGPAqFvEzQqIsCY4VtOrOPpVGCOr2jyTiozSHLxnpWo82x78jwAiVNBG9T1xB0U37GX1LvTm2fH81hhPIsoUOWHoiFPA3HwFRnSKcar+lDKzY05TJ7CqTBrFzqGOa4bB6qvHzyieWYOblmXkqQlm5ri7XUq6Izcgac3WJlHH1Sl4pBJynZKWGu+ZTL6brLGcTenZHaZb7mQzxqXSfx/lrPsAHX1JqbTSPThqO05nUamkRHAbFfTQqPxOKoIdABf4fMZeknT5Y9o1HRTF8Cw1WEnYwIZSkpvLTY+9udeGlWegzjCZswEYk9++miEyY/FkenbRKC2p4VGVZ6DOCKMVwT6y9NCo7E4wrUzgXTorXUIAT6Itl4ajcWRmzYn0KiuFfs9nEwja82fTqPrwtEv6wlMjJJse90AAAAASUVORK5CYII=)
= ![](data:image/png;base64,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)
We know that
= cotθ.
∴
= cotθ =RHS
Hence proved.
Question 9.Prove the following identities
secθ (1 – sinθ)(secθ + tanθ) = 1
Answer:Consider LHS,
LHS = secθ (1 – sinθ) (secθ + tanθ)
⇒ secθ (1 – sinθ) (secθ + tanθ) = (secθ -
) (secθ + tanθ)
We know that
= tanθ.
⇒ secθ (1 – sinθ) (secθ + tanθ) = (secθ – tanθ) (secθ + tanθ)
We know that (a + b) (a – b) = a2 – b2.
⇒ secθ (1 – sinθ) (secθ + tanθ) = sec2θ – tan2θ
We know that sec2θ – tan2θ = 1.
∴ secθ (1 – sinθ) (secθ + tanθ) = 1 = RHS
Hence proved.
Question 10.Prove the following identities
![](data:image/png;base64,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)
Answer:Consider LHS,
LHS = ![](data:image/png;base64,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)
Multiplying and dividing with (cosecθ - cotθ),
⇒
=
× ![](data:image/png;base64,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)
We know that (a + b) (a – b) = a2 – b2.
⇒
= ![](data:image/png;base64,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)
We know that cosec2θ - cot2θ = 1.
⇒
= ![](data:image/png;base64,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)
We know that
= cosecθ and
= cotθ.
⇒
= sinθ (
) - sinθ (
)
= 1 – cosθ = RHS
Hence proved.
Question 11.Prove the following identities.
![](data:image/png;base64,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)
Answer:Consider LHS,
LHS =
+ ![](data:image/png;base64,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)
We know that sin (90° - θ) = cosθ and cos (90° - θ) = sinθ.
⇒
+
=
+ ![](data:image/png;base64,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)
Taking LCM,
⇒
+
= ![](data:image/png;base64,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)
We know that (a + b) (a – b) = a2 – b2.
⇒
+
= ![](data:image/png;base64,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)
We know that 1 –sin2θ = cos2θ.
⇒
+
= ![](data:image/png;base64,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)
= 2 (
)
We know that
= secθ.
∴
+
= 2secθ = RHS
Hence proved.
Question 12.Prove the following identities.
![](data:image/png;base64,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)
Answer:Consider LHS,
LHS =
+ ![](data:image/png;base64,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)
We know that
= cotθ and
= tanθ.
⇒
+
=
+ ![](data:image/png;base64,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)
=
+ ![](data:image/png;base64,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)
=
+ ![](data:image/png;base64,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)
=
[
-
]
=
[
]
We know that a3 – b3 = (a – b) (a2 + ab + b2).
⇒
+
=
[
]
We know that sin2θ + cos2θ = 1.
⇒
+
= ![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAEYAAAAhCAMAAABTAS1UAAAAAXNSR0IArs4c6QAAAHhQTFRFAAAAAAAAAAA6AABmADpmADqQAGaQAGa2OgAAOgA6OgBmOmZmOmaQOma2OpDbZgAAZjoAZpC2ZpDbZrb/kDoAkGY6kLbbkNv/tmYAtmY6tmaQtpBmttv/tv//25A625Bm29u22////7Zm/7aQ/9uQ/9u2//+2///bKO143wAAAAF0Uk5TAEDm2GYAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAAZdEVYdFNvZnR3YXJlAE1pY3Jvc29mdCBPZmZpY2V/7TVxAAABUklEQVRIS91UYU+DMBC9g2GZOkDBuenoVoT1//9D79qBLdhmiV/mmjQNeZf37l3LA7jFJTP109YeceN8+v1GQZdGpoehLAJml6Dei99qdUMUXndOlQPqpmbg+FQxzTFHfO0wU7Q/86SGc0lwl7ag3xCzFoYK8Zk8msIJBLjQkCTR9OsaZGHUZbKFXabOJdJKW90I1T+aYyjFpXAESd+j0U3yQlKGxu5RsF+/c9PmkMzKhSNo6RDZF3cDcKrIiUMz2vdo+CK5cDkbS9NliiGHhqQPQ1WQsFD6g5ojU42YCi3omNK7BwVfNLhV2+fJts9R0C7MaDdsp8IVGaKDn5EtnMBpNpK93eKvcG892Vf013VvU/mHfrzkvT6wZ0795L06sGcs4VgOItHkDQf2QjiSvOHAnl93NHnDgR2lWSZvKLDnNNHkDQf24g3HkjcS2Lf4L3wDhFgywXhnHV4AAAAASUVORK5CYII=)
=
+ ![](data:image/png;base64,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)
We know that
= cosecθ and
= secθ.
∴ ⇒
+
= 1 + secθcosecθ = RHS
Hence proved.
Question 13.Prove the following identities.
![](data:image/png;base64,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)
Answer:Consider LHS,
LHS =
+ ![](data:image/png;base64,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)
We know that sin (90° - θ) = cosθ and cos (90° - θ) = sinθ.
⇒
+
=
+ ![](data:image/png;base64,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)
We know that
= cotθ and
= tanθ.
⇒
+
=
+ ![](data:image/png;base64,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)
=
+ ![](data:image/png;base64,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)
=
- ![](data:image/png;base64,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)
= ![](data:image/png;base64,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)
We know that (a + b) (a – b) = a2 – b2.
⇒
+
= ![](data:image/png;base64,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)
= cosθ + sinθ = RHS
Hence proved.
Question 14.Prove the following identities.
![](data:image/png;base64,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)
Answer:Consider LHS,
LHS =
+ ![](data:image/png;base64,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)
We know that tan (90° - θ) = cotθ.
⇒
+
=
+ ![](data:image/png;base64,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)
= ![](data:image/png;base64,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)
We know that (a + b)2 = a2 + 2ab + b2.
⇒
+
= ![](data:image/png;base64,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)
We know that cot2θ + 1 = cosec2θ.
⇒
+
= ![](data:image/png;base64,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)
= ![](data:image/png;base64,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)
= ![](data:image/png;base64,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)
= ![](data:image/png;base64,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)
We know that
= cosecθ and
= cotθ.
⇒
+
= ![](data:image/png;base64,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)
= ![](data:image/png;base64,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)
We know that
= secθ.
⇒
+
= 2secθ = RHS
Hence proved.
Question 15.Prove the following identities.
![](data:image/png;base64,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)
Answer:Consider LHS,
LHS = ![](data:image/png;base64,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)
We know that cosec2θ – cot2θ = 1.
⇒
= ![](data:image/png;base64,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)
We know that (a + b) (a – b) = a2 – b2.
⇒
= ![](data:image/png;base64,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)
= ![](data:image/png;base64,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)
= ![](data:image/png;base64,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)
= cosecθ + cotθ = RHS
Hence proved.
Question 16.Prove the following identities.
(1 + cotθ – cosec θ)(1 + tanθ + secθ) = 2
Answer:Consider LHS,
LHS = (1 + cotθ – cosecθ) (1 + tanθ + secθ)
Expanding the above,
⇒ (1 + cotθ – cosecθ) (1 + tanθ + secθ)
= 1 + tanθ + secθ + cotθ + cotθtanθ + cotθsecθ – cosecθ –cosecθtanθ –cosecθsecθ
We know that
= secθ,
= cosecθ,
= tanθ and
= cotθ.
= 1 + tanθ + secθ + cotθ + 1 + cosecθ – cosecθ – secθ – cosecθsecθ
We know that tanθ + cotθ = cosecθsecθ.
= 1 + cosecθsecθ – cosecθsecθ + 1
∴ (1 + cotθ – cosecθ) (1 + tanθ + secθ) = 2 = RHS
Hence proved.
Question 17.Prove the following identities.
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAQAAAAA1CAYAAACusjXMAAAAAXNSR0ICQMB9xQAAAAlwSFlzAAAOxAAADsQBlSsOGwAAABl0RVh0U29mdHdhcmUATWljcm9zb2Z0IE9mZmljZX/tNXEAAAcxSURBVHja7V29TtxKGJ3bJ30SMdtBDwNlOrRx/kqkGGurIAqELOWCtEUUGTqK5AGSKunuE9xbJC+QPEGQyBPAM8D12B4z6/XPN7NexsanOAW7Xu98Z+Y7nu+z2cNOT08ZAADDBEgAAAgAAAAQAAAAIACkDzL2lwRIBIABCsCu4J8Y41deGK23NphMVIYkLC5ihnCDt4UFIBD8YywAl20JwPuD7Y0Nzn7FJF/L8275h/59X1B3HfPBwc7GeCw+cM7O+fjwCEkN3joxiMgXr5PdRBC+SP4O/VXB2MV9XqR3HfNJIF6x0ej3aMR+x4JzAwEAb50QgCiaPI4X/p8isQnxLZcYnUl+hzGn3wEBAG81AkCpS6ve11+jnOdwzI/KFr1KEiZ2v91VDd5U4zUdSz1PWzHL85guSAgABKBWAKbT/YfPxOhLUpdy8XMSTp4KEUSztevOmjyGM36uFrH8nO+Jv2WdJIKTV2HgvRCc/ZTn4WL30/7Z2YOyAewK9o0x8WcSRY/118/O9h94K+wHW/F+VH128Rp8Z22T8//SGpxdj8SzL/vT6cMyTgJv6x1n7FLV60lM2rEU3tqOGQIAAWhdAOTiVEHKBRkI9lW/IkWhty5rVUmGfhVLjksT6UYmkqpt06sdu5GiUPyufMHLZJhOn+hXUJlQ+XuFRGkn+bc34oS+2grCNyou+Xcx+fIxcu+7ej0Mtt4ksWrHNvG2jJghABCAVgVAbUGFH72eea1wJbtdxLPb2LJkV4lVRly+5U3EJL0KF3CzjJo4H38hQdM7G+JCT76q7bqKVcZF5a3tmCEAEIBWBUBP7LF/+LKulk23sXQBKLsa3iZDzXa4JhmKNXkV5r43G1PZroS6Jdd3DOFJ+IjK2yIxF+OK+T6OF+SxSR8DAgABqC0B8u2tvBJxfi7vTZctKtcCkH3XNQXl3fbysqR0fGUCUBg7lTfbmE3irYsLAgABqBWANGn9VW9z9Dlf0CXJ24YA1C34ukS5q8msE4CZWj4bH4W3NmNGCQABWIoA6EKQdfLnrpZtCEBdk7Dpc4sgP3fWiGssAQxv2dXx1mbMEAAIQOs9gLEYf9Bvb1XVy20JQFUiVTXfWm0CZldpGa+qn+VE6+PXmn3H+jnUXQR5rAlvbcYMAYAALKUJqO5xZ42mo2JnfDqdPFGdbNX5lsemojCbLOkjr3GiyW10yT12vb5VdfOhP34p77kvk+xsQrOuuwK/0m/35Zxw9l2+r8aX364TwVcT3tqO2VQA5Pfk8xGLD/4pCLzNC4AXvA3D7afqIR75UIsfRquFK9vlTJPNC6IsSWYab3ONq0JyFZuP+oM26v78MpE806DilA8CbXqf9Vh1XtJbhCqWeHxe8E7FQuFtGTGbCEDZvJU1SIFh8YZJBoAh725AAgBAAAAAgAAAAAABAAC1QCwftwYgAEDPscjj1gAEAACAPgkAdbsH3D+4LiEAN3NdnKxrYJhYVg8A3HZ7rrENAtADQAkAAAAEAAAACAAAABAAAAAgABUfxBNgADBcAYA7cH9jHqJwD21tkd2ubL8A7sD9i3mo7sBDW1sm8XZiwHAHhjvwfVxbyS9OjcO9LsfrfoLgDnynMQ/pR0Fdry3dLq6r8VrXD110B7b5ldziOCkx1x3XdUdklwLQFsfU41zxrFyb1A/kFsdIXUem9bxNvHMn6bM7sI0AUByCKe7AVO7ajrkvAkDhZuaY5LiNXzsH79ds5swVz/Lczzn/R/vF6TSW7Bek52KME3bF2z3RObDJI9t4a7ctfXMHNhUAikMw1R2Ywt0yYu6LADRxI39qXiZ1oXadc0kydnXuEM/6mNQvRgcej/T8sMmjReItrSH66g5sIgBUh2CKO7AJd64ckV0KAIWbTCCOi+an+lhNXJ27yHPuMaFdTJTfgH6caR4tEi+rSuw+ugObuOVSHIKp7sDyPSp3rhyRXQpAEzeaU1P5fxtm22eqq3MfeJZXZc0XgiwAjQ5bhvHOneg+ugOXLRiKQ7CJOzCVO1eOyK5LgDpuqrrXNnPWdZ5TF6gtP3GBEsHHcCz2OiUAqv7qozuwSQlASQRTd2AKd64ckbtwF6CKG2pX3mTsXeW5+ARt2XE2AmAbb+OE9ckd2MIqq9Yh2NYduIk7F47IXRCAKm5mFmhhLvReAdXVuas8l31vWwJgG+/cgu+zO7BVE7DBIZjiDmzKnQtHZNc9gCZusu73jbr1p/V1jnSOqa7OXeSZ+pqtANjEW5oUfXUHNr0NSHEIprgDm3DXdswmcOVyS+EmW7wXs3MhMcsf1dXZJc/FhE2fI/ES89i06ZfuYOROaJPzf9V8hKG/LsXPNo9s4p2fqB67A9s8CERxCG5yB6Zyt4yYDRekE5dbKjcyIbSHaJK5KFsvVFdnFzzryNeMFqts+qVj4Zfy/wRuhS/+ezLZWzSPTON1UgMCANANgAQAgAAAADBE/A8lq9UOA+xxuwAAAABJRU5ErkJggg==)
Answer:Consider LHS,
LHS = ![](data:image/png;base64,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)
Multiplying and dividing by sinθ + cosθ + 1,
⇒
=
× ![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAFMAAAAhCAMAAACShmf4AAAAAXNSR0IArs4c6QAAAHhQTFRFAAAAAAAAAAA6AABmADpmADqQAGaQAGa2OgAAOgA6OgBmOmZmOmaQOma2OpDbZgAAZjoAZpC2ZpDbZrb/kDoAkGY6kLbbkNv/tmYAtmY6tmaQtpBmttv/tv//25A625Bm29u22////7Zm/7aQ/9uQ/9u2//+2///bKO143wAAAAF0Uk5TAEDm2GYAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAAZdEVYdFNvZnR3YXJlAE1pY3Jvc29mdCBPZmZpY2V/7TVxAAABXklEQVRIS+2VbW+CMBDH70BW9iCgMKeb1JUB/f7fcFdatVvF0kVfzNikaYh3/3uMP4B/dngijhlvEOfW51gpPjNbk8fbLs+8TXHN5IaNeMmK9HQMWZWj0q7Z7rkwmrsUcdlgIuh+pFEJfU5CTVxbmvIVMamhKxBfKNbgcsIMuNZsH0vg2ZAXj1awTkSfIx1bU1ZMtE+1erqcGRfXjKrTmrKKFhR60NR3n4B2QixJ5E2Hp4fHpK1cXLODJsBnQQVbmm6jfmiqRiuXU203eTaJUL9ampTKtiuGuZsZ9TkT8p0KoNorBnuX32Yg1w/DCn5Rv2d1m0arNkVGNwM1kblpjJ57W+CM6qZHLa52cc246pR/B71Leje4fgf0Wl/0XD/pe4RLdeAPOPLRyKBCZzgNRyE0ov+3KTg6RyPNlvM4CqTRFByF0mgKjsJp5MdRKI0ObDli08FRKI0m4ehGafQN5uY69IxjUZ4AAAAASUVORK5CYII=)
We know that (a + b) (a – b) = a2 – b2.
⇒
= ![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGoAAAAlCAMAAACd8YwcAAAAAXNSR0IArs4c6QAAAJBQTFRFAAAAAAAAAAA6AABmADpmADqQAGaQAGa2OgAAOgA6OgBmOjqQOmZmOmaQOma2OpDbZgAAZgBmZjoAZjpmZmaQZma2ZpC2ZpDbZrb/kDoAkDo6kGY6kLbbkNv/tmYAtmY6tmaQtpBmttv/tv/btv//25A625Bm27aQ29u22////7Zm/7aQ/9uQ/9u2//+2///bzoptxQAAAAF0Uk5TAEDm2GYAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAAZdEVYdFNvZnR3YXJlAE1pY3Jvc29mdCBPZmZpY2V/7TVxAAACPUlEQVRYR+2WaVPCMBCGs0AtXoD1ooigSNFiaP7/v3NzH4a0oOMHh8x0OoV9++5uczyEnIbpAJsBDNbphsRi3u9W3bu4ua8xuLlZNcU4rYrEVPslVcbfq8YSYISP9FL+1ty2VGVjlFJJ2TKP5OhaVf3VbsKzkqnROyeLPeWpGF+5uSqUFSunUSEr0UFY0wssZ3tf08eWtqsYo9SvrnyrzRDgcQtZjdfrsDclzQRT2PbRhc2e8QkA3MazJ4BsTXYFwHVNhFrHGGXcip5PeaN4FVVvThZZLYQgrCJ1szKvsVp+201ypVZFG6VnJX8FmLKy94C9ElbycqqyViaenj+LD8hvVf9Nqo2V6seeBpKPArvmWNlvxRsYDs8KcxNqNaxSTii2OJN5SOttVvMIxwqTXe3EUhLTIhjNJK/ZC5aODSxzpdYxvrLibZOewuoTv+tgTYe9OR1CjteY8A8/4hHRdUgLGGCxeMPFJ9UmG6MklXhB56GXcGeBG3jExnSUz0n0ww7INfsX44eJnuR/34GDVnE8PQEd7Xhjt7UYTbRV7kBHK94421qUJtJeAXQEeBNAS5yZ7DkTPXi1fwAdAd5YaHGOqARNGCufIDRCuNDxHW80tFirFE1oK58g8HjnAOJBxze8wePNpT5xGu6nCQMQEh0MQSC0cISIQYeVxKxIgiZ0VSFBCEkaOgIrcYSnaEJb+QRhJCnosNAipxEHkxRNmGnhEYSSpKHDQouasQfiRXyddYSO39qY2jaW//f/F9B2WyE3kl2lAAAAAElFTkSuQmCC)
= ![](data:image/png;base64,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)
We know that 1 – cos2θ = sin2θ and sin2θ + cos2θ = 1.
= ![](data:image/png;base64,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)
= ![](data:image/png;base64,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)
= ![](data:image/png;base64,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)
= ![](data:image/png;base64,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)
We know that
= secθ and
= tanθ.
⇒
= secθ + tanθ
Multiplying and dividing by secθ – tanθ,
⇒
= secθ + tanθ × ![](data:image/png;base64,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)
= ![](data:image/png;base64,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)
We know that sec2 – tan2θ = 1.
∴
=
= RHS
Hence proved.
Question 18.Prove the following identities.
![](data:image/png;base64,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)
Answer:Consider RHS,
RHS = ![](data:image/png;base64,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)
We know that sin (90° - θ) = cosθ.
⇒
= ![](data:image/png;base64,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)
We know that 2cos2θ – 1 = cos2θ – sin2θ
⇒
= ![](data:image/png;base64,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)
Multiplying and dividing by cos2θ,
⇒
= ![](data:image/png;base64,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)
=
= LHS
Hence proved.
Question 19.Prove the following identities.
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAYgAAAA1CAYAAABbYHw5AAAAAXNSR0ICQMB9xQAAAAlwSFlzAAAOxAAADsQBlSsOGwAAABl0RVh0U29mdHdhcmUATWljcm9zb2Z0IE9mZmljZX/tNXEAAAWsSURBVHja7Z0/ctQwFId1AC7ADKLLAYJJSccsngwHIPGkgqFiPMNQM8t2abhAOkpOQMMJuMEW3CB3gMiO1o5WkuWNbHntr/gKyMb7fu8nv2f92Y3YbDYCAADAhCQAAAANAgAAaBAAAECDAAAAGgQAANAghqQsL05Xq+yrlGIrV5++MBDwBO2AJzQI8a3I3gopt8p4IcQ/bkg8QTvgCQ1ifxBwQ+IJ2gFPaBCYjydoBzyhQWA+nqAd8IQGgfl4gnbAExoE5uMJ2gFPaBCYjydoBzyhQWA+4AnjEU9oEJgPeIJ2PKFBYD7gCdrxhAaB+YAnaMcTGsQszRfZ5Q9uBjxBO+AJDUKsy/xUCnFbGd+CJzc8QTvgCTMIAACgQQAAAA0CAABoEAAAQIMAAAAaBMB4fFrJL+YpFRecKAIaBAAAAA0CeJLGb/yGXg0idODAcTLIAFqg5iVr5z5aVp2gSwJP0jxJA7DEBAAANAgAAKBBAAAADQIAAGgQAABAg4CFcJnJ70LI27xcn6IdgAaRHPXHP15I8ac+sihvz4ryHVrnUySPxd/Y2pc0rqkR6bTO2vj6Twbe3ZRFeV4n5+IkE+LvsZ1rV6Zmq/LDErQu0V90k8up1oj5PhWsr57axO+SdERT/ctM/PCZOCetS/QX3eRyqjVitubXn5TdF64TdSx/iFx/4tdn/ly0LtFfdM8jl+paqWYdQ9YIz5Tl4uSllL/01w08z97cfLy+ftJ+zfX1xydFfva5+QPf8lZml99tr3uTPb+pXiNf/Lkqr15lWbG2ve+D196//qJcn/SNT3VUIbK/V+v1U/P6+TPxWzzLf5txxpvuPT53VZxS/tz76geLkSm1hnqscqJ+LoXc6kG6y4EU26z49rYs8nO9PmobR1PTnEL7lHRTIw5vECG568rfGDXCuZ6lAtIbGPrf7YvYLlwWZ++qAI03a09/1O9VwVpEqG6mkmaukZnCuuLbxeZLiOVnsdYCY+aungK6nw5SanVNcU2Pq/XRysd6gOsiWQ/a5gbRvusnIlU4p6x5bO1T0k2NOLxBhOSuT/6GrBHuixnm1Kcwmou4pizmdEdPYdoDvvo/y9OBbR3NvF5IfLtpk/dL2OKvMcbOXYj5qbTaYvB53AzEh7HYCqK+YaasOYX2qeimRhzeIEJz1yd/Q9YIZ3dzPb11TUvcnbrZPfd3OYeA1hNZV3xNQnwdM/6NFDt3/cwfV6vzfTwe10/N4UXStS46Bc0ptE9FNzXi8AYRElvf/A1ZI/Yupt8sKLm24C3B7KZF1Xqh3NrO3rp22R8V3wEJeczXQA+Ru2NoEKEez7FBjKl9KrqpEeE1wowhJLa++UvSIEKOTNmCd61p6Y0610ZK6MmBkPh8on3JinXjxMxd+PriuFo3jo03n8exGsSUNI+pfSq6qRGHzyBCYuubvyFrhHMK5EtO0Bu6nv7uBoE+rbG35ugItL0eGRLfxrPZ11V8Yky9Y+YuZECl0NpVLG0ex2oQU9Q8lvYp6KZGPH6JqSu2Pvkbskb41/nufsk8UaPfwHX21lxjU9dbZauv7eu41uF2JzuMY2vqvdrXC4nPNQhdGz9x16Pj5K7309qIWk3dIR7HbBCpNafSPgXd1IgIm9QdsfXJ35A1wjsNMne5rUfY7n6m1wttO/T6/9pnn+ugHE8B1t32h68Nia+dYB2fOmvuOx0Tc/odI3dmwajPROfvbeeVU2jt43Hb2/3CaT+51XUOPaXmlNqnoJsacViD6BNbaP6GrBHeqVDzpU71WW3zwyj1eWV1PKsReZYXn/dE5sX7snz9anc9xwdb9PSy/eEP1wdIQuLb3G9+tT9kMsYXccXKXVNI7l/nyVsqrSEeN9Pq1gZ/XqzNEylqoO5tAHY0iVSaU2tPrZsacXiD6BNbaJ0YqkaMvkYLAADHAUkAAAAaBAAAhPMfNYqcBLG8QvQAAAAASUVORK5CYII=)
Answer:Consider LHS,
LHS =
- ![](data:image/png;base64,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)
We know that cosec2θ – cot2θ = 1 and
= cosecθ.
⇒
-
=
– cosecθ
We know that (a + b) (a – b) = a2 – b2.
⇒
-
=
– cosecθ
= cosecθ + cotθ – cosecθ
= cotθ … (1)
Now consider RHS,
RHS =
- ![](data:image/png;base64,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)
We know that cosec2θ – cot2θ = 1 and
= cosecθ.
⇒
-
= cosecθ - ![](data:image/png;base64,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)
We know that (a + b) (a – b) = a2 – b2.
⇒
-
=cosecθ - ![](data:image/png;base64,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)
= cosecθ – (cosecθ – cotθ)
= cotθ … (2)
From (1) and (2), LHS = RHS
Hence proved.
Question 20.Prove the following identities.
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAX8AAAA7CAYAAACT+oqpAAAAAXNSR0ICQMB9xQAAAAlwSFlzAAAOxAAADsQBlSsOGwAAABl0RVh0U29mdHdhcmUATWljcm9zb2Z0IE9mZmljZX/tNXEAAAqlSURBVHja7Z3PbtRIEMa9d7gvEZ0b3ImTY24oePlzRGJizQmUQxRZYhNpDtFqwi2H8ABwgtvyArsH9gXgDZDgCcIzkJ22pz1tT7tdbbe7bc93+ElkxjPTrsKf29XVVcGbN28CAAAAmwWMAAAAEH8AAAAQ/74NNgh+E8B5sAkAYAPE/yIOny4E7ldKePgRzoNNAAAjF/95Ej1gYXyV/zsIfrKDk9NNdhxsAgAYvfgn0+n+0eXlLfH3yQE7De5G/8mvbRqwCQBg9OJfJg13QOhgEwDAZok/n+UixAGbAAA2SPzn8+md3e3oHXWGuwnZMLAJAGD04h+H4Xw6n9+hHHt+/HBnhwVfs4wYdr03OZmM0YmwCQBg8OLPM1fCg+SV6j0e2gjji6ek75mEzxbi9jOKk8fZ907uhUHwfWyhEdgEADAK8T8Mg48qMeLCtXj9TIQr+N9VosfDIAtR+1H+niwvfiF+yfzBGJwHmwAAvIq/HEPWxZF1x/G/F7NYLmQ3sqCJ2W2+mSkn/F4V6siOXxc0IYAmG6JMF1Lb2oF6nE+bAAAg/sH58fP7u4z9KwRoO3z0/mg2uy0fM5sd3Y6jvdcsCK5FrJmFh2/FcZeXR7f+YOzv5XfcrHatxh+aPj0shPBHWQj570R3g/9MUiJNxJ+f56Nw+306dhZ+mSbT/TCM55XHpMftfH1+fH6/iV192QQAsOHizxcP+c7SvTh5kc4ilztNZSHJxYVFn8VrSbz3IhW1kuAsyxXctIlB57/HhW4225Jnzlx48/eIC6Qm4i+HrPg44jD4IM+oZ7PpFhf0Usz9R3k8FLv6tAkAYIPFPxeUUrggDtmVHH6oCjcswxYFobch/nkYQ36CKHJjEuOmir/43XAyf1Z4TZr5L28OZ7L4SqGuUxO7+rQJAGCDxV/MRnWZJrqQgmo2a1f8NSEOjdCV4+xcnMuCrYrTy999MDl5Uj5m9b5SfPMQF8Wurm0CAID4B+VZuk6kctFRib9CkHyLv3oRVY3qvPNwFp9JM/aN59CLm0BVtk0Tu0L8AQDexV8nZjrxL8ShLYq/Tsx0Itg27LN6opnci3a33+U3gWX4hppVY8MGXdsEAICwz0+xiNhYdCQxtCV8Yj2hPHvOx9xhqqd8EwhZ8EWMoyCyJXvJawMUu/q2iWv4GMUiObBLEkePTZ/44I9x+NXCbDKb3fI0RBEP5yIuREZa2D2TPy8yWmQxsiX+VbPsqsVnG+LP7XEQHvwlp2OW4/dp9k8aEsrSO6V1hXyXLtWuPm3ikvScK3Z8AzvwZALq/yv4Yzx+bX1hSrn5NyJrRE7rTMWMBZ/5eyIGnqcXlvL45Vlotjcgetk091zE78VvnkwOnvB9BqY3FhPx5+ck9i8IUZczdJYC/L1oL04xi4diV582cUU6QWDRp6bnjOJ1BhM5xj49PD7f6dIfoF9+tfJIvgxvZJuRdqN3k2R+rzyILFVRLJiy670ofq36T5Qfx8Iv5e8xf/TZeyFvLBN5852JfxS/TJKH+7k9FOfAw0HShrbUXio7UOzqyybO/uMubqZtFr4PQ/bW9lPN0CqiUsdb1w/Chj/6cJ5jwYZfcYcEvcRGc5psIsGubYn/0Cqimow336dSIe59bha0aZVqbfkVQgN6O+vv0yL00CqiNhlvWgJEl5lX4w9dRV74hRhFqbGfTb9CbEAvLwLbG91ajWdgFVGbjrfqfao/qirywi806uxn268QG9A7KBlIJlVRVa+bfE+biqg2KriajLXNeIXIl8Wlzh+6irymNnDlF9V3NblxdV3RuEu/QmxAL2dAuk1nlOqpvCoqP4YF7Ju4WPjnJlH4J2PBNz6L5bnQYlE9zdKqiGc3rYhqo+KtyTm3HW/Vng+dP+oq8q5VsV2I193o8KJ8bi79Ykv8XVc0tu1XiA2wTnmWU4Xqs6qd37rHY1X11DR2mqfUrmZKy30W6UXGL1QRN63aALc2HoOKqLYr3tadc9vxFmaQqjHW7ABX7dGRPysy1eKIzcu2dukXW+LvuqKxbb9C/EFHIRtafSRlxzZNSRD5fV311OLFUnxMVglK1WNxYTwGFVFtV7ylnnPT8a5/diUidf6oFX++x0cSv2zBcl3kXPjFlvj7qGhs269r4k+dsQHQVT51Xe+Cuuqp64/JdPFXzaSbFMWzXfHW5JzbFPFTvU/tJVEnXnx2Ku0xMRJ/W37RaR21em8X/jUTfzt+VYn/LwCo+BD/wqOzonpqH8S/i4q31HPum/hnO8n3JulO8jC+Sg7CV77Fv231Xh8VjTsXfwB8x/ypYlNVPdW2+DepiNpFxVvqObep4NqF+Jd3WVcd58IvtsI+Pioa2/YrxB/0N+ZPvHDL1VNti79u4bHqc11UvKWec5Px6kSJ6g+VeKl+z5b4tznPtuLvq6KxTb/2Svw3rTYHbF0TK9XMYuqqp9oWf9OKqLYr3pqcc5Px6marbbJ9qK+58ost8fdV0dimX3sj/lIVy199ris/BoZga5Voly88XfVUzmw23RLZESJLhh+bfXfxghQZKOnFUcrTLj/RUCui2qx4Sz3nNuPViYvOHyqhFhV5eZHDbIE3myHzJ5Zdxv4Ropkkkwc8BdSlX2yIv23/VtlPFWaz6VfvF3p60mF8JRtgiHU5hsBQbK2byVCqpy7P7boQYori+fJCLISd1sJUmrLZphVRbVW8pVaMtTHeJjt8BaqKvHyBNxsDu+Z1a1ZlzbPxSALpzC82xN+mf3X269Kv3i/0ZDrdlw2ROr2n1QOHzlBs3bfaPpv1VNi8tg8Yll/7OVCI/0bbuo9VPTeBtlU9wbD82ruBmjx+YZG4W1v7tG82W0FTedc3XG09f/hjVH7t1UB5PHB3W93ZqsymNXBwbWvf9hWxYIQaHN5sNXF1+GN8fq0WBw+NGeIwnJNyu0fUwMEXOlv3xb5prBk9Yx3daNmnugVd+GNcfq38oOvGDDwEQZlVjK2Bgw90tu6bfdNJSEXpYmAHnpFDndHDH+Px6/oLHhoz8Jmm/Fv876pB+27gYFLcrO5Y05i6acMPZe2XGlvbtK/NG4B4CgGWBSKOHpve0OGPcfh17THBdWMGdTmA6s0rPhs4UJo3CBvUNegwac6htD3b+fr8+Py+yfgotrZpXwBAf1G+6Loxg1EMy1MDB0rzhsIYaxo4UJtzZMI/3eKiXorBF+qtUMfn0r4AgLGIf0eNGciPm54aOFCbN+jCJnIDB5PmHNKN4qxcf1x8n8n4XNoXADAC8S+HIGw2ZjAXf7cNHKg7HKkNHJKL5Hdqcw6piJS6OmYYf7C1A7OtfQEAIxX/rhozuBCnNg0cKM0bCuMjNHAwbc6he0Khjg/iDwBoJP5dNWag4quBA6Xcap34K2ulE5pzULJsqONzbV8AwAjEv+vGDFR8NHCgNG8gi6dK4DXNOQqiW/ptsU5AHZ9r+wIARiD+XTdmMA5NOGzgQG3eIJ+7roGDaXOOZQbVjUjvlNYsTsX3Ucfn0r4AgIGJv6/GDIazU6cNHCjNG/IbRU0DB9PmHKsa6PJvc1bHU8fn0r4AgIGJfzbb9NOYgYqPBg6U5g1C3HUNHJo05+A3W2kDXvrbqowiyvhc2RcAMEDxBwAAAPEHAAAA8QcAAADxBwAAMCj+B3VFoS0cYt9EAAAAAElFTkSuQmCC)
Answer:Consider LHS,
LHS = ![](data:image/png;base64,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)
We know that cot2θ = cosec2 – 1 and tan2θ = sec2θ – 1.
⇒
= ![](data:image/png;base64,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)
= ![](data:image/png;base64,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)
= 1 … (1)
Consider RHS,
RHS = (sinθcosθ) (tanθ + cotθ)
Expanding,
⇒ (sinθcosθ) (tanθ + cotθ) = sinθcosθtanθ + sinθcosθcotθ
We know that
= tanθ and
= cotθ.
⇒ (sinθcosθ) (tanθ + cotθ) = sinθcosθ(
) + sinθcosθ(
)
= sin2θ + cos2θ
We know that sin2θ + cos2θ = 1.
∴ (sinθcosθ) (tanθ + cotθ) = 1 … (2)
From (1) and (2), LHS = RHS.
Hence proved.
Question 21.If x = a secθ + b tanθ and y = a tanθ + b secθ, then prove that x2 – y2 = a2 – b2.
Answer:
x2 =(a secθ + b tanθ)2
=a2sec2θ + b2tan2θ + ab secθ tanθ
y2 =(a tanθ + b secθ)2
=a2tan2θ + b2sec2θ + ab secθ tanθ
Now,
LHS = x2– y2
= (a2sec2θ + b2tan2θ + ab secθ tanθ)
- (a2tan2θ + b2sec2θ + ab secθ tanθ)
= a2sec2θ + b2tan2θ + ab secθ tanθ
- a2tan2θ - b2sec2θ - ab secθ tanθ
= a2 (sec2θ –tan2θ) – b2 (sec2θ –tan2θ)
=a2 – b2 [∵ sec2θ –tan2θ =1]
=RHS
Hence proved.
Question 22.If tanθ = n tanα and sinθ = m sinα, then prove that ![](data:image/png;base64,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)
Answer:
We want to find value of cos2θ in terms of m and n.
So we first eliminate angle α,
tanθ =n tanα [∵ Given]
⇒ ![](data:image/png;base64,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)
⇒
(1)
sinθ =m sinα [∵ Given]
⇒ ![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAFAAAAAgCAMAAACy7Q9eAAAAAXNSR0IArs4c6QAAAHtQTFRFAAAAAAAAAAA6AABmADpmADqQAGaQAGa2OgAAOgA6OgBmOmZmOma2OpDbZgAAZjoAZmY6ZpC2ZpDbZrb/kDoAkGY6kLbbkLb/kNv/tmYAtmY6tpA6tpBmttv/tv//25A625Bm29u22////7Zm/7aQ/9uQ/9u2//+2///bN57cQAAAAAF0Uk5TAEDm2GYAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAAZdEVYdFNvZnR3YXJlAE1pY3Jvc29mdCBPZmZpY2V/7TVxAAABLklEQVRIS+1VjU7CMBC+K8x1KJuyCWzqOlvL+v5P6N0II5pWaBwaEi65pGnu+3p/vQO4LnFNOqnD3X0xLSGAiiI0mLxKsX5BsQkFFkcISmyhZg36EUuYaFCsf0bo6jsdU+bBO9ImAFNIsjyf0UpMDSFYz0fdLKfIQM21GoR6+KSMxr5DAP0T5uSDlzCIC/kSHlwHJ3/xWPmGaRAfjiS/J1Szt10+4YxwFZENbnUScUXbQe83RMmB7woUZXiu+zB9Tkgza8FmJajlfpCLNdT8hqtSbbNFG0qqD9Pn/H+I0FXiiTgOs3dw2mZbug/nw4cZPQR4LyjOKEIfZsyhSTSfvxD2VK3uMXWhTvJhgKtcUFQfVJN5a2lf84Yg5UiNFCsr56EkejHumfowtpX/w/4TasYc3zZwNVwAAAAASUVORK5CYII=)
⇒
(2)
We know that,
cosec2α – cot2α =1
Substituting values from (1) and (2) gives,
![](data:image/png;base64,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)
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAATgAAAAtCAMAAAANzYfEAAAAAXNSR0IArs4c6QAAAJZQTFRFAAAAAAAAAAA6AABmADo6ADpmADqQAGa2OgAAOgA6OjoAOjpmOjqQOmaQOma2OpC2OpDbZgAAZgA6ZjoAZjo6ZmY6ZpDbZrbbZrb/kDoAkDo6kGYAkGY6kLyQkLbbkNv/tmYAtmY6tmZmttvbttv/tv//25A625Bm27Zm27aQ29u22/+22////7Zm/9uQ/9u2//+2///bqiqxhAAAAAF0Uk5TAEDm2GYAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAAZdEVYdFNvZnR3YXJlAE1pY3Jvc29mdCBPZmZpY2V/7TVxAAAEeklEQVRoQ+1afV/bIBAOOme3qrPTzdY536aZbjZtvv+X2x2BAGkIdyGWdL/yR1otdzz35Djgjizbtz0DY2bgz4UQZyyANAlaL9bAo+q8/nqbvRzcMTDRJGi9GMOOsWvxiUMcWkCT0L3KG3Dqt9FZHg8rP+caRZNQvcrF8dtqdswdY/D+SzG3dcbDeuGFOBicJqF7LTESyEfa1iAuGlbO5o0mUfe6/wjTtJg4rzsthXJ0LqylEPPfE1hI5QNcAR7LsFG1mCtRwJp8ANL4efIE6lbX8A8MaLVemBLw//WMHQ+GIldBQgsyYwYfVjGZ3mW5mN5mOUyf9UxACxMHLiPF5o5EMbnKVrM5/Aifi8PnrFx8fCt/gIsZvRXC6pmi1ZCk09dm8GEpeXAA1vQxYpb10t3R7ZEV7CEdqzixl9CKQiFSEVdDUhZI9s7Vm+XAsuUJnqZpkmKNCaf/rD7l80FMf7l+tZYLajqPqyEZwxEpH9a7EVdx8/JZHD3b1PGDydATWkFyiePDejfitP+9TtxZKefzGiJhuiYhucRVqyoH1oDE6fmH8bcCJsObjnyKKFyDsiWsHGlaDalBHBuW3AdieKwe1GbELIlcXGXl4x2s8uewqgJ7cnm9cD0OogmcHBhDUSHR+tWQpAXGDC6sYgK7D/OgDY4kgxgukC4BsBk8usXIBj/j7m11DV9OG+fS1YU4+EIdaPB+GpKxWZmRFtbgdu4V9mUA/UFtD0kq4pMcsK8nnQFIcLbc6fWyzgEwD2fxSQ40lXUW2DI3HcNBtDGLbjtx3gxgdJJD4tpN4orTpzxEnDctxU1ytL8/h7hiiumK3WgbxOW4fK9mOtg94Gn38LmEQwDmdGKSHK2EuB43guQh9bWFiKsSoRjPynv8FpHk8BKnsxH4jtKnXTdh3lfJEhcdY6p2JjlalRPeXjPG5ZhkxFaDJXzB/hsACHLBLh0G9CKOlOQIohKiZXGoiSOQnrQLkbjy9RJPMGoVROL4SY7/fqqWCzvQ1DGuO8kxzFTd5cUBV4IN4qRBsUmO8Kq6U9sRQ5JnAwyZnMef8Fh9w1R0/yQHYR9HCVrWDY/4M599XYSjrbyBwCU+fK8Ae45cD1hNg+3c2d+Zyu7EJzkMyPDJwa3KWjc8+pz5vMrkjqtn9Z55VqW4h6ePBZJLHGpUp8A+Z75Gbdwoq/ar/WLs9oizQIaJ2yRf3fAY5synL5VEaNsecRZIP3Ht5WygUd3wYO2HQsqidlfcfFxwrvpuGxiTO/JxnnJ2lukbHpzCdlCZIi5hLdVi03vbgGSyp5xtbnhw6u1BZT3K5EG/6d3Be9uAZrKusDfL2frmCKuwHVLWo0zem5eQoP+2AdHk1nK2GZUV43S5vrGJ76stZHvU7y5x9m0Dsslt5WyDiVnY7lbGL5NHkdMl3OJx0F3Cp5jsK2ebIRmF7bAyeYMsYfXeYrLjtgEFpK+cbUZgFLbDyjDIpaze2y7ov21AAektZ5sh6IVtgjK4B5Gyeu/MXf9tgxGBfLdQtVc8Wgb+AYv5sjfSRjitAAAAAElFTkSuQmCC)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
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Hence proved.
Question 23.If sinθ, cosθ and tanθ are in G.P., then prove that cot6θ – cot2θ = 1.
Answer:Given: sinθ, cosθ, tanθ are in G.P.
So,
cos2θ =sinθ × tanθ
cos2θ =sinθ × ![](data:image/png;base64,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)
cos2θ =![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAACMAAAAjCAMAAAApB0NrAAAAAXNSR0IArs4c6QAAAIFQTFRFAAAAAAAAAAA6AABmADpmADqQAGa2OgAAOgA6OgBmOmaQOma2OpDbZgAAZgBmZjoAZjpmZmaQZma2ZpC2ZpDbZrb/kDoAkDo6kGY6kLbbkNv/tmYAtmY6tmaQtpBmttv/tv//25A625Bm29u22////7Zm/7aQ/9uQ/9u2//+2///bc/mdcwAAAAF0Uk5TAEDm2GYAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAAZdEVYdFNvZnR3YXJlAE1pY3Jvc29mdCBPZmZpY2V/7TVxAAABFElEQVQ4T72T61LDIBCFd3MhVYvR2kTrraCkBN7/Ad2FJE06TP1jZGZnM3A47JIPgNWGf0Ys1HV7d3909Tah0aWZzbqH6POOeHeeX2jsY1zQ+bGXKUeAbmfsniS+pfWw+atC3HdYGorPKmvASUTk3U42tCFXYDcN6G2Q6+wAb7O6ghhJ49vsidyCZoix+MkH4LumA1KaqZ6uNPyd0oS++KZOVHKhbJUdbIWCYtarf6H7We1/rmvMV/nLWLeAf3dfwpw8/grMo/4Mc5xhBkoFfY14OxI+gzBIWmHsjeLUSzEQPsEcbezmdUo6Jy0TfuGz0PC7YMIv6nFSGP9hOPWtgJHwAeahCVtjQcdR4ucdCQ+N/C3MP9aEG5DiGWDmAAAAAElFTkSuQmCC)
Or, ![](data:image/png;base64,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)
⇒ cot2θ =secθ (1)
Taking LHS= cot6θ –cot2θ
= (cot2θ) 3 – cot2θ
=sec3θ – secθ [Substituting from eqn. (1)]
=secθ (sec2θ -1)
=secθ (tan2θ)
=cot2θ.tan2θ [Substituting from eqn. (1)]
=1
=RHS
Hence proved.
Determine whether each of the following is an identity or not.
cos2θ + sec2θ = 2 + sinθ
Answer:
cos2θ + sec2θ = 2 + sinθ
Let θ = 0°
LHS = cos2θ + sec2θ = cos2θ° + sec20° = 1 +1 = 2 … (1)
RHS = 2 + sinθ = 2 + sin0° = 2 + 0 = 2 … (2)
From (1) and (2), LHS = RHS.
∴ The given equation is an identity.
Question 2.
Determine whether each of the following is an identity or not.
cot2θ + cosθ = sin2θ
Answer:
cot2θ + cosθ = sin2θ
Let θ = 45°.
LHS = cot2θ + cosθ = cot245° + cos45° = 1 + =
… (1)
RHS = sin2θ = sin2(45°) = ()2 = 1/2 … (2)
From (1) and (2), LHS ≠ RHS.
∴ The given equation is not an identity.
Question 3.
Prove the following identities
sec2θ + cosec2θ = sec2θ cosec2θ
Answer:
Consider LHS,
LHS = sec2θ + cosec2θ
We know that secθ = and cosecθ =
⇒ sec2θ + cosec2θ = +
=
We know that sin2θ + cos2θ = 1.
⇒ =
= ×
= sec2θ cosec2θ = RHS
Hence proved.
Question 4.
Prove the following identities
Answer:
Consider LHS,
LHS =
Multiplying numerator and denominator by (1 + cosθ),
⇒ =
×
We know that (a + b) (a – b) = a2 – b2
⇒ =
We know that 1 – cos2θ = sin2θ.
⇒ =
= +
= +
We know that = cosecθ and
= cotθ
∴ = cosecθ + cotθ = RHS
Hence proved.
Question 5.
Prove the following identities
Answer:
Consider LHS,
LHS =
Multiplying and dividing with (1 – sinθ),
⇒ =
We know that (a + b) (a – b) = a2 – b2
⇒ =
We know that 1 – sin2θ = cos2θ.
⇒ =
=
=
We know that = secθ and
= tanθ.
∴ = secθ + tanθ = RHS
Hence proved.
Question 6.
Prove the following identities
Answer:
Consider LHS,
LHS =
Multiplying and dividing with (secθ + tanθ),
⇒ =
×
We know that (a + b) (a – b) = a2 – b2.
⇒ =
We know that sec2θ - tan2θ = 1.
⇒ =
We know that = secθ and
= tanθ.
⇒ = cosθ(
) + cosθ (
)
= 1 + sinθ = RHS
Hence proved.
Question 7.
Prove the following identities
Answer:
Consider LHS,
LHS =
We know that sec2θ = 1 + tan2θ and coesc2θ = 1 + cot2θ.
⇒ =
=
=
We know that tanθ cotθ = 1.
⇒ =
We know that a2 + b2 + 2ab = (a + b)2.
⇒ =
= (tanθ + cotθ) = RHS
Hence proved.
Question 8.
Prove the following identities
Answer:
Consider LHS,
LHS =
We know that sin2θ = 1 – cos2θ.
⇒ =
=
=
=
We know that = cotθ.
∴ = cotθ =RHS
Hence proved.
Question 9.
Prove the following identities
secθ (1 – sinθ)(secθ + tanθ) = 1
Answer:
Consider LHS,
LHS = secθ (1 – sinθ) (secθ + tanθ)
⇒ secθ (1 – sinθ) (secθ + tanθ) = (secθ - ) (secθ + tanθ)
We know that = tanθ.
⇒ secθ (1 – sinθ) (secθ + tanθ) = (secθ – tanθ) (secθ + tanθ)
We know that (a + b) (a – b) = a2 – b2.
⇒ secθ (1 – sinθ) (secθ + tanθ) = sec2θ – tan2θ
We know that sec2θ – tan2θ = 1.
∴ secθ (1 – sinθ) (secθ + tanθ) = 1 = RHS
Hence proved.
Question 10.
Prove the following identities
Answer:
Consider LHS,
LHS =
Multiplying and dividing with (cosecθ - cotθ),
⇒ =
×
We know that (a + b) (a – b) = a2 – b2.
⇒ =
We know that cosec2θ - cot2θ = 1.
⇒ =
We know that = cosecθ and
= cotθ.
⇒ = sinθ (
) - sinθ (
)
= 1 – cosθ = RHS
Hence proved.
Question 11.
Prove the following identities.
Answer:
Consider LHS,
LHS = +
We know that sin (90° - θ) = cosθ and cos (90° - θ) = sinθ.
⇒ +
=
+
Taking LCM,
⇒ +
=
We know that (a + b) (a – b) = a2 – b2.
⇒ +
=
We know that 1 –sin2θ = cos2θ.
⇒ +
=
= 2 ()
We know that = secθ.
∴ +
= 2secθ = RHS
Hence proved.
Question 12.
Prove the following identities.
Answer:
Consider LHS,
LHS = +
We know that = cotθ and
= tanθ.
⇒ +
=
+
= +
= +
= [
-
]
= [
]
We know that a3 – b3 = (a – b) (a2 + ab + b2).
⇒ +
=
[
]
We know that sin2θ + cos2θ = 1.
⇒ +
=
= +
We know that = cosecθ and
= secθ.
∴ ⇒ +
= 1 + secθcosecθ = RHS
Hence proved.
Question 13.
Prove the following identities.
Answer:
Consider LHS,
LHS = +
We know that sin (90° - θ) = cosθ and cos (90° - θ) = sinθ.
⇒ +
=
+
We know that = cotθ and
= tanθ.
⇒ +
=
+
= +
= -
=
We know that (a + b) (a – b) = a2 – b2.
⇒ +
=
= cosθ + sinθ = RHS
Hence proved.
Question 14.
Prove the following identities.
Answer:
Consider LHS,
LHS = +
We know that tan (90° - θ) = cotθ.
⇒ +
=
+
=
We know that (a + b)2 = a2 + 2ab + b2.
⇒ +
=
We know that cot2θ + 1 = cosec2θ.
⇒ +
=
=
=
=
We know that = cosecθ and
= cotθ.
⇒ +
=
=
We know that = secθ.
⇒ +
= 2secθ = RHS
Hence proved.
Question 15.
Prove the following identities.
Answer:
Consider LHS,
LHS =
We know that cosec2θ – cot2θ = 1.
⇒ =
We know that (a + b) (a – b) = a2 – b2.
⇒ =
=
=
= cosecθ + cotθ = RHS
Hence proved.
Question 16.
Prove the following identities.
(1 + cotθ – cosec θ)(1 + tanθ + secθ) = 2
Answer:
Consider LHS,
LHS = (1 + cotθ – cosecθ) (1 + tanθ + secθ)
Expanding the above,
⇒ (1 + cotθ – cosecθ) (1 + tanθ + secθ)
= 1 + tanθ + secθ + cotθ + cotθtanθ + cotθsecθ – cosecθ –cosecθtanθ –cosecθsecθ
We know that = secθ,
= cosecθ,
= tanθ and
= cotθ.
= 1 + tanθ + secθ + cotθ + 1 + cosecθ – cosecθ – secθ – cosecθsecθ
We know that tanθ + cotθ = cosecθsecθ.
= 1 + cosecθsecθ – cosecθsecθ + 1
∴ (1 + cotθ – cosecθ) (1 + tanθ + secθ) = 2 = RHS
Hence proved.
Question 17.
Prove the following identities.
Answer:
Consider LHS,
LHS =
Multiplying and dividing by sinθ + cosθ + 1,
⇒ =
×
We know that (a + b) (a – b) = a2 – b2.
⇒ =
=
We know that 1 – cos2θ = sin2θ and sin2θ + cos2θ = 1.
=
=
=
=
We know that = secθ and
= tanθ.
⇒ = secθ + tanθ
Multiplying and dividing by secθ – tanθ,
⇒ = secθ + tanθ ×
=
We know that sec2 – tan2θ = 1.
∴ =
= RHS
Hence proved.
Question 18.
Prove the following identities.
Answer:
Consider RHS,
RHS =
We know that sin (90° - θ) = cosθ.
⇒ =
We know that 2cos2θ – 1 = cos2θ – sin2θ
⇒ =
Multiplying and dividing by cos2θ,
⇒ =
= = LHS
Hence proved.
Question 19.
Prove the following identities.
Answer:
Consider LHS,
LHS = -
We know that cosec2θ – cot2θ = 1 and = cosecθ.
⇒ -
=
– cosecθ
We know that (a + b) (a – b) = a2 – b2.
⇒ -
=
– cosecθ
= cosecθ + cotθ – cosecθ
= cotθ … (1)
Now consider RHS,
RHS = -
We know that cosec2θ – cot2θ = 1 and = cosecθ.
⇒ -
= cosecθ -
We know that (a + b) (a – b) = a2 – b2.
⇒ -
=cosecθ -
= cosecθ – (cosecθ – cotθ)
= cotθ … (2)
From (1) and (2), LHS = RHS
Hence proved.
Question 20.
Prove the following identities.
Answer:
Consider LHS,
LHS =
We know that cot2θ = cosec2 – 1 and tan2θ = sec2θ – 1.
⇒ =
=
= 1 … (1)
Consider RHS,
RHS = (sinθcosθ) (tanθ + cotθ)
Expanding,
⇒ (sinθcosθ) (tanθ + cotθ) = sinθcosθtanθ + sinθcosθcotθ
We know that = tanθ and
= cotθ.
⇒ (sinθcosθ) (tanθ + cotθ) = sinθcosθ() + sinθcosθ(
)
= sin2θ + cos2θ
We know that sin2θ + cos2θ = 1.
∴ (sinθcosθ) (tanθ + cotθ) = 1 … (2)
From (1) and (2), LHS = RHS.
Hence proved.
Question 21.
If x = a secθ + b tanθ and y = a tanθ + b secθ, then prove that x2 – y2 = a2 – b2.
Answer:
x2 =(a secθ + b tanθ)2
=a2sec2θ + b2tan2θ + ab secθ tanθ
y2 =(a tanθ + b secθ)2
=a2tan2θ + b2sec2θ + ab secθ tanθ
Now,
LHS = x2– y2
= (a2sec2θ + b2tan2θ + ab secθ tanθ)
- (a2tan2θ + b2sec2θ + ab secθ tanθ)
= a2sec2θ + b2tan2θ + ab secθ tanθ
- a2tan2θ - b2sec2θ - ab secθ tanθ
= a2 (sec2θ –tan2θ) – b2 (sec2θ –tan2θ)
=a2 – b2 [∵ sec2θ –tan2θ =1]
=RHS
Hence proved.
Question 22.
If tanθ = n tanα and sinθ = m sinα, then prove that
Answer:
We want to find value of cos2θ in terms of m and n.
So we first eliminate angle α,
tanθ =n tanα [∵ Given]
⇒
⇒ (1)
sinθ =m sinα [∵ Given]
⇒
⇒ (2)
We know that,
cosec2α – cot2α =1
Substituting values from (1) and (2) gives,
Hence proved.
Question 23.
If sinθ, cosθ and tanθ are in G.P., then prove that cot6θ – cot2θ = 1.
Answer:
Given: sinθ, cosθ, tanθ are in G.P.
So,
cos2θ =sinθ × tanθ
cos2θ =sinθ ×
cos2θ =
Or,
⇒ cot2θ =secθ (1)
Taking LHS= cot6θ –cot2θ
= (cot2θ) 3 – cot2θ
=sec3θ – secθ [Substituting from eqn. (1)]
=secθ (sec2θ -1)
=secθ (tan2θ)
=cot2θ.tan2θ [Substituting from eqn. (1)]
=1
=RHS
Hence proved.
Exercise 7.2
Question 1.A ramp for unloading a moving truck has an angle of elevation of 30°. If the top of the ramp is 0.9 m above the ground level, then find the length of the ramp.
Answer:![](data:image/png;base64,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)
Given AB = 0.9 m, AC = ?
In the above right triangle,
AC = Hypotenuse
AB = Perpendicular
BC = Base
We know,
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
⇒ AC = 0.9 x 2
⇒ AC = 1.8 m
∴ length of ramp is 1.8 m
Question 2.A girl of height 150 cm stands in front of a lamp–post and casts a shadow of length 150√3 cm on the ground. Find the angle of elevation of the top of the lamp–post.
Answer:![](data:image/png;base64,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)
Given, AB = 150cm, BC = 150√3 and ∠C = ?
Here, AC = Hypotenuse
AB = Perpendicular
BC = Base
We know,
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
⇒ tan θ = tan 30°
⇒ θ = 30°
∴ the angle of elevation of the top of the lamp–post is 30°
Question 3.Suppose two insects A and B can hear each other up to a range of 2 m. The insect A is on the ground 1 m away from a wall and sees her friend B on the wall, about to be eaten by a spider. If A sounds a warning to B and if the angle of elevation of B from A is 30°, will the spider have a meal or not? ( Assume that B escapes if she hears A calling)
Answer:![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAQQAAADlCAYAAAC1Z4mZAAAAAXNSR0IArs4c6QAAAAlwSFlzAAAOxAAADsQBlSsOGwAAABl0RVh0U29mdHdhcmUATWljcm9zb2Z0IE9mZmljZX/tNXEAADgtSURBVHhe7X0HeFzVte4vaUa992bLltx7N+7dxsZACJjEtJBCEh7fzf1u7neTvOTl5qbwLuSG+z7ezaPdhGIwGBMMNrax44Z77xVX2bJ679KMyltrz5zRjIo1kmbOjKS1+YSlmXP23uffa6+z9qqGZmqQJggIAoIAIWAQFAQBQUAQ0BAQhiC0IAgIAjYEhCEIMQgCgoAwBKEBQUAQaIuASAhCFYJAH0Ng586deP/99/HEE09g2bJlXXo6YQhdgksuFgS8GwGz2Yy9e/di8+bNiIqKwtSpUxEdHe30pIUhOA2VXCgIeD8CN27cQHl5OZ5++mnk5+fj8uXLmDVrltMTF4bgNFRyoSDg/QgcPnwYdXV1WLFihTo2XLt2DTNnzoSPj49TkxeG4BRMcpEg4P0ImEwmnDlzBvHx8Zg8eTJYl5CVlYWKigpEREQ49QDCEJyCSS4SBLwfgcLCQmRmZmL58uVITk7GyJEjcenSJfDnwhC8f/1khoKASxG4fv266i8jIwN+fn4YP3481qxZg+PHj2PIkCFOjSUSglMwyUWCgHcjwNaFgwcPKiYwY8YMNVlWJiYkJODixYuoqalBcHBwpw8hDKFTiOQCQcD7EWCLwq5duzB69GicPHkSBoNBKRKTkpKUHoG/Hzx4cKcPIgyhU4jkAkHA+xFg3UF2drYyM27dulVNmBkCSwaJiYnIzc0VhuD9yygzFARcg8C5c+cwadIkPPjgg4iJiYGW1aC6uhqvvfYarly5gunTpyvdwr2aSAiuWQ/pRRDwGAK1tbXqmDB27FisXr26zTxYt3D69GnlxpySkiIMwWMrJQMLAjogwMcE1hMsWrQITU1N8PX1dRh1woQJWLt2La5evSoMQYf1kCEEAZci0NjQgJLiQjTQvyGhYQiPiOywf2YA7IDERwQ2N7ZmBnzjqFGjlDvz2bNnMXv2bBiNxg77kyODS5dSOhMEeoZAcVEhjh09ipNnzqOmtg6DBqZg/tzZGDhoMAIDg9p0zkyjsrJSmRsHDhzY7uBpaWnK+sAuzXy8EIbQszWSuwUBXRC4cOE8Xn75jzj79R1U+yfDjACENZ/CO2vW4rnvPYMnn3wKAQEBDnPhzf38888rZWFsbGy78+Rox9/+9rfKFBkSEiI6BF1WUwYRBHqAwF3SAbz0h9/hk2PF8ElbCGPkALIb+qHUXInarFMo+NOfER0Rige/8ZiDpYBNi+ymfK/Gx4jOlIna/XJk6MEiyq2CgKsQ+HjdOmw4dAvNw1cjYthc6paiE5sbAV8D/GOH4ea+Erz6xnuYOm0GUga0fzRwxVyEIbgCRelDEOgBAhWk8Nu+YycaBixEZPp0oLEeaCJmYG1+AaGImvEsju77PUUznkJScgp8O/En6O50hCF0Fzm5TxBwEQKsOyg3GxEUPxzw8wcaah17bmqAX1gCAuOG4sz5S5g3fwFCw5wLZ+7qFIUhdBUxuV4QcDECWXfuoLwpHPAnhV9zU7u9+6AZjcHJuJNThJrqKmEILl4D6U4Q8BoEGihSsVHVTOKsRh0UUiM/gyYfA8zmejpNtBwnXP0QIiG4GlHpTxDoIgIpyQkI9a1CfqOJeIKjl6GtK1IuGk0liItJRGBQ52HMXZyC7XJhCN1FTu4TBFyEQADpBhqqS9DgdxdIID0CMwX7owMxg6b6atQVXMHYkbPJe5GOF25qwhDcBKx0Kwh0hkBjUzOu59fhcG4Iqo2JqL3xFYzRA8EMghmCDx0Tmok5NJvrUHZpK9LDmjB54mQY/Unx6KYmDMFNwEq3gsC9EGhobMbpzEp8cjQfZ+7UInLMCsTlvoKqq1tJQHgYhuAIxRCayPxYl3cRAZlb8YN/fAqDMpxLhdZd9IUhdBc5uU8Q6AECB74uw0cH83A1l44CDRSANG4SHhv9U2xY9w6unfp/MEcPQ6NvMPxrcxBYeg3PPrEcz3znWQQFtY1n6ME02twqDMGVaEpfgkAnCFTWNmDPxVJsPl2ES3erUFnXiPkjo7FyagIyYgZi4ohUbN+1F1uO3ERxRTlmjUrA40tXYP6ChUhMureLsivAF4bgChSlD0HACQTyy0344mQhdp4vwY2CWgQYfPDwlHismBCD4ckhyvtw8dJFiEodievYi+vZZVj68Hg8vWqmE7275hJhCK7BUXoRBO6JwN2Semw+VYjPjhWgoMKM5KgATBwchmfnJSEh3B/V9Y1obmiCyeSDyKgYxKVPQVFgNRLSBsBM+gajn3OVl3q6DMIQeoqg3C8I3AMBtiR8nVuDz48XYu/lUpTXNCA5OgDLxsVg5aRYRIUYUG0iZmDXRzMpEhubzOSAZFZJUiz5EYUhCKEJAr0aAd7HpzKr8OHBXFy4U4U6UxPCg414ZnYSZg6PQHCAH9jaoPa7PUNg9sAfstmRGIqeTSQEPdGWsfoNAiwZ7L1Uik9JMriQVYlqUh6OTg3DI1PjcN/QcAT5+6GejgitmQEDxHVZNXmApYP2rnEXkMIQ3IWs9NtvEeBjwe6LJfiSLAnn71ajipjBojHRuH98LKZlhFPeQ6DO3H4Qk2II9tKCvgKCiqiQJggIAi5CoIAsCVvOFClmcLOwDuGBfpg5NAKPz0jEiORgpSA0m53f5c5f6ZoHEIbgGhylF0EAuWX12EhHhI1kWiysMCE+wh9TB4fj6blJiCdLQl0HR4TW0CkJwSom0IGho/hHtyAuDMEtsEqn/QmBJtIXXM6pwYZj+Th0rRwV5HwUFWLEyolxWDouGtGhRtIXOKsLaFYl2Pg/TzRhCJ5AXcbsUwicvFWJNftzcTm7WikPmQH8YGEKpqaHKUtCI6kLmrqgGWSlota6cJtLMBWG4BIYpZP+iICJ9AEHLpfREaEAp29VkPKQohHTw5Xn4ZwRkeSJ6Isa8jHoamN+0GJlsFgg9WrCEPRCWsbpUwiUVTfg7+eLse1MsZIMzCQGLBwTpSwJU0gy4MYORz0V/Du2RbgHTmEI7sFVeu3DCBSQwnD72WL87Ug+7pbWIybEHyNTg/H0nCSkxwfBRMyBKqx1mxmwDqFFRNAXSGEI+uIto/ViBFh0zy6tw8YThfiSJAO2JMSG+mM2HQ9W3RevrAomsiT01LlQ0yHwSUHP4wIvjTCEXkygMnV9EeCjwd8oocmx6xUoJeejAKMvHpkWT0eFaGIMRpIKKKGJi877Nh0Cmx115ArCEPSlKRmtlyJw7EYFPj6Uh3MUk1BGzGAABSitImejWcMiKD6BsiGTWbErloR7waCODNamIy9QIwpD6KUEKtPWBwEOSDpyjS0JRSQZsI9BI6ZTLAJHKy4cHQ0jWRJqu2FJuNfs7fMuq2ODPo8qDEFHnGWoXoiAsiScK8ZWckW+QscFP18fLBgdRUlN4lQuA357u5oZeBomkRA8vQIyvlciUFJlVorDdXRMyKP4BM5bMIKyGv14SSpS6bjAwUnuEueVkUFzXXbXIB2gLgzBK8lRJuUpBFg8v11Yiy9OFalUZ8XEGMIoQGnBqCg8ROnOEiPZkuCsG3LXn0IdD1p5KurJE4QhdH3N5I4+jMBlSny6Zl8epUavQkW1GYH+vniK/AtmD49EXLhRuSFzrgN3NlEquhNd6VsQcBIBVhpuoJyHhylAqaymESMpXHkFpTlbRHqDsCCDW48J9lO0uC5bxAR9Yx3FyuAkqchlfRkBTnB6kOokbKEcBsfJvFhLloXpQ8IpUjEG8+moYCBlIn+mV+upu3NP5ilHhp6gJ/f2egTYp2AnxSR8dqwQN/Jr1RFhTGoonpidiHEDwpRvAac607PZ8iFoqRV1HFwYgo5gy1DehQCnOvuCUqN/erQAeRSTEELHgvEDQyk1ejJSYwLRSNGMrnI26tKTO+RUVOcG3ZowBN2gloG8CYFblN5s0/ECSo1ehkIyK/r5+WLp2BgVupwSHaiyHXuEGbD+wN7KoLiBfhxBGII3UanMRRcELlHi07VUV/EU5TAorjQjglyPn6TU6LPYkhBmRAMxA3dbEu71oK2TrOrHDkSpqAsByiDegQAHCZ24WYHPjhdh/+USlJEb8viBIRScFIMHJsZSanRfVUHJG1qLY5K+sxEJQV+8ZTQPIcCp0PdR5SS2JJyh4iksAdw3JMKS3WhklEqN7j3MwHN2BmEIHiJQGVY/BDjp6a4LJVizN5fyGdST56EB6Qkh+N78ZCqyGoxGkhzMVJLdW1rrnIriqegtKyPz6PUIFJGOYAtZEjaTKzJXX+ZjAac4+9bMRKTFBqr8BZzdyJuagw5B54mJhKAz4DKcfgjcopLrHx/KxxHyQOQCKr706v3G1HjyPIzGADIrshXBk8rDjpBQaditXMHNXtJtpiAMQT/6lJF0ROAiWRI45+GBK2UoopiEFCq/vnJSHBaPjUY8WRK4ToKnzIqdweCgQeDajp3d4MLvhSG4EEzpyvMIcKm0M5mVqvz6viulqCDno3FpYSqPwQMUlxBk9OtzOQxcibowBFeiKX15FAG2EhygmITPKEDpQlY1zaVZJTL55rQEqrgcQQlOekdCE0fHJH0hFYagL94ympsQ4IIoOyh/wdoDubhbUk+SgC8yEoLx/JIBGBTPbsgUtkzSQ69odqXcWIcgVoZesWoySW9BgF2PN5N/wfZzJcghZsBn8BnDIlWqs8HEDHhDeau+oD0MHc2O4rrsLXQm8+gFCNwkS8LaA3k4caOczIqWhCaPUmr0eRS2PJDMig0kFbArsudcfboOokMpt67f3qM75MjQI/jkZk8icJGyG31GysMdFL7MCVH5iLCIaiQ8NDmGciD6o9bcqKSD3sQMWuOpysHreNIRhuBJipaxu4VAPSU4PU4xCV+cLMThq+Uqk9H4tFBiBjFUWzEGgaQ/6E6R1W5Nxk032Y4NOjIDfhRhCG5aUOnWPQjwRj94pZzyHuaAjwtGMh0Mp2zIT1JCk4mDwlSqdL0TmrjjSTXnJD2lA2EI7lhJ6dNtCHDRFK62/Ak5HN2mfAZ+Bh+MTAnBsxSTkJEQpMblcmp9oUm0Y19YRXkGtyHAcQgbSV+w+1IJ7hAzYAekJXQ8WD4hFsOSglUyUi6n1ica6z2sWZOUDkHHh5Ijg45gy1DdQ+Bmfg0+oTRn+yi7UX5ZPSJDjFQjIU6VUhsQE6CYQ2+zJHSGhEUR6mNRKOrIEYQhdLYy8r1HEeCKy59RqrPtZ8mSQG7IQxODMZfKrz9+XwJCqYCKlsOgN1sSPApwq8GFIXjTashcbAiw5YBTom88UUj/lispYDTpC5ZTZqPFZFr0N/p4TUITdyyb0iHQD0sIOgoIYmVwx2JKnz1DwERpzw/Q8eDtr7Jxp7he1UVgpeF35ydhNKVIZ0sCOxz15aY5J3HaNz2bSAh6oi1jdYoApzrj4wFLBreL6sC5SyZRtCIfEUaQhEC8QOkLdN4nnc7b5Rdo+RD0VSGIhODyhZQOu41AbpkJHx/Ow6Gvy5FFzMCXdv8DE2OU9yFXXua3JR8d+kPjUm7ME0Sp2B9WW56xDQLsZMQ5DDZTujOuuJwcGUDJTDgbcgySKbmJNyc0ccdyUqS2pSn+px8TlCODO1ZT+nQaAU5hdjm7ho4IBar8Oic0GUp+BXOGR2HV9HhVTamWvBP7XbMqEfRO9ygMod9Rmvc8MLsYsyWBoxW5eAqHKGckBqmEJnNGRiKAYhLqKUCpPzabp6Ku8oHEMvRHWvOKZ+bNv+9SKT7Yn4sb5HnIh+V0ilb84cIUJSGwZYGlhz6vPOxoNew5go4rJhKCjmDLUBYEuE7C1jNFKi7hWl4tTJQHfS4dEdj7cPSAUKVM6wsBSt1db9YYaI5WyuyonwpBrAzdXTS5r3sI5FChlE+P5uMr8jNgS0JwgB9WjotVbsgjUqhoClkRzL0soUn3kOj8LhYSdOYHwhA6Xxa5wlUIZBaSJYH8Cz4nV+SymkYMiA5QZdRYeRgT5k95DXp/QhNXYaVZGXQUDtTU5cjgqhWUfjpEgL0Kz2dVqepJe0lvwAlOMuKDMJ9So3+Djgkck1BHlgS9id+bl4zzIdiCm3ScqDAEHcHuj0MxMzhKlZPe3JUNrqTEZM5Vk1bPTMKUjHAEUw5EdjYSZtCKOjj8mY8MkkKtP26bvvnMbEnYc7GUvA/zcT2vRlkNRqWE4qk5iaQ8DIE/ZTvqF27I3VheSZDSDdDkFu9FoIzKp7G+gBnC1VwLM+AjwjJSIE6i4incOIhJWvsIWByXdTUwiA5BiNE9CLAlgYOTviA35Dz6PZoUhgtGRWMpZTgaSo5HfIzwxiKr7kGjd/UqOoTetV5eP1vWE2w6WaRckTmhCesLZg6PxJOzkhAebBDlYWcraFWm2FKoqWKv+mlYhCF0tkDyvVMI8Fuf6ySso/Lrx8gdmY8DqWRW5IQm94+PJX8DX4tZ0ane5CJ1YLD6IeiJhjAEPdHuo2Ox88wxymr09p4cXKP8hw0UfsCSwdNzkjFuYKhiBqI87NriaxKC1HbsGm5ytYcRYJPhjnPF6phwifIfssvxJKqP8Nj0BFIehsNIqdJZWui3MQndXB8H1+Vu9tGd20RC6A5qco9CoLjSjA3kdfgVWRKu59fC4AcspRwGnNBkcnqYOh6wE5K0riNgSxqr8xlLGELX10ruIARyKR36ZpIKPjqUhxJKaJIYEUDKwwg8PDkOaeSFaCapoI/UTPHMensojbQwBM8sd68dlUX/WxSTsOlkAbaeLkY15UBMJX3BLLIkrJ6ZiIhgPzkiuGB1LaXcqC6DeCq6AE3pwi0IsOfhhTvV+MuebJXQhI8DiVH+eHiKpfx6OGU3amgUfYFLwFcSQrNKMqtnEwlBT7R7+VhHr1eohCbn71Qp5eEQSmjyzFxKjU5uyMH+fuRsJMcEVy0xRzvakqy6qlMn+hGG4ARI/f0SVWSVLAmcHv1sZgX5EzRj+tAIPDgpFtOGRKjU6FxYRZrrELC3MohjkutwlZ56iABbEraeJs9DckPOLKhDGIUqzx0VgaXjYlT5dXZBrpeEJj1Eue3tHtIpSj4El69kH+qQYxJYcbj+SJ5KjR5HMQn3kWTw7VmJZFXwt1kSPEW8fQjqdjiCpfyz1GXo06vcOx6OlYe3yK9g/RHyMbhcqiwJCeH+KrsROxzFhBnErOjupdTKweubUlEkBHeva2/sn5WGb+68i69zapS+II6YwWNUSm066QtiQg2U9xDiY+DmhW3Jh6CvZ5IoFd28sL2t+/1XSvG3owU4c5ssCcQMRqWGYNV98ZhMbsghlBDVTGZFcThy/6paSrmxH4K+ORGEIbh/bXvFCFX1jUp5yNWTzhEzYM32zGGkPKQcBrPJ6YjfWOKGrN9SauXg9Wa+whD0W2OvHYldj7eRSZF9DPLLzYgOMZA5MRz3T4il8ushypIgCU30XT5PKWqFIei7zl43Wn65CVvIpPgJKRCZMcSFG5UlgR2OoogxqASo+h5jvQ4jT0yohSHoq1UUhuCJ1faCMXmT3yRLwjt7c3DyVgUqyJLAGY2WjIvGyolxiAwx9u9Sah5dI1ocjmVg/YHOzFgYgkcX3nODn71diXf35YL/ramn7EYxAXicLAmsPGRLAmdAYvOjNM8goEkIKkGKjlMQhqAj2N4yFCsOt5ACkeslsFvyOKqn+PDUOMweYa24TJ/pSYTegou3zEPVdtTqMuhsZhCG4C1UoMM8KqnI6vZzJdhEGZGv5FSrcuuzR0RhyZgoZUkARdQwg5DmRQjozJmFIXjR2rtzKkUUk7DzfDHeJZ1BUWWDsiRMSg/HN6fFq7JqLBM0NrhzBtJ3VxBQZkfrcUFPniAMoSur1EuvzSNLAldc5riEitpGYgZGSmgSgdUUkxAbxspD8Tz0tqW1pWHXeWLCEHQGXO/hrlEJtTd2ZKsU6ZXEDCLIkvAApUbn8uux5JLcRForUR7qvSqdj9eShl3qMnSOllzhFAKnblVSnYQ8HL1WhlpyQ+aqSatmJGBiWhiiQo1iSXAKRc9cZDE6kuuyKBU9swB9aVQ2Ge6+WIIvzxTjyLVyleOQ6yOsIMlgAUkGBlIe1ory0HuX3E5poLflV44M3ksW3ZpZBVkSuMAquyFnFtYhNMhPlV1fRglN2AORjwi1DXqqqbr1GP3+JtEh9HsS6DkA7Hr8dzIrMjMorDSRt6FB1UdYPTMJKeR41Kz0BT0fR3pwPwJacFOzqu2oXxMJQT+s3ToS10l4f38eDlwpQymVYg8OMGAOORo9SmbFpKgAxQiEGbh1CVzauS0fgkt77bwzYQidY+T1V1zLrcHbX3FMQiXKqeJyQoSRLAlxyrSYTAVX2awo0Ypev4wOE7QoFSWFWu9aNS+YLSsNN50sxD5KdVZDisKRycHkhhyPGaQv4GAlqavoBYvUjSnYsi7rWgwekkKtG2vlFbdw2vOvLpViI9VWPJ1Zqar8cBbk+ymhyaKx0fCl3OiS0MQrlqp7k/BQQgQ5MnRvuTx6Fx8L9pJE8MaOuyisMCtnozFsVqSEJhMGhSrbtUnqJHh0jXo6uENwU08768L9whC6AJY3XFpJeQv4iPAp5T0sqWpAGJVPY7PidyihCSdDZWYg+gJvWKmezkHTIejrmSQMoafrpuP92VQn4S+7SXl4oxxFZGLkpKcLKVJxJVVQSook5SFxA2EGOi6IG4fS/BBUPgQd7Y7CENy4qK7s+uvcanx4IA97yaxYWdOIgbEBeIhKr0+l1OipVHCVU51JTIIrEfdsXy2l3PSdhzAEffHu1mgHvy7D1jNFygOxlnQDI5NDVIDSIpIOgkhKqJeEJt3C1Ztv4mKvliaOSd68TrrOrcbUiMNXy5Xn4eXsGkpo4oPhyWFYTpYEjknwk4Qmuq6HroNxTkX60fG0oB5PJARdV9n5wTgmgc2Kb+/JAeczCKUiq2PJkvAIpTobnhJCgXDNdExwvj+5spchYD0zSLRjL1s3d0y3sq4BHx3Mp7iEYhRUmOBP4YnTqU7C4zMTkUz6AvZiE+WhO5D3nj7tXZf1lBJEQvAeGlAzySpmS0I2TtysoFRn7GPgR7qCGCwlZ6O0mEBlSeDwZml9GwFLNgS2MOi71sIQvIiuuMjq58cLsYNyH9ZSavQMSmjy4ORYqqIUiSQuvy6WBC9aLfdORcuYpLcSQRiCe9fVqd5Z/OeYBGYGbFFooLfCqAEhyg2ZvQ8Nfj5UhVmyITsFZh+7SO9VF4bgYQKqpiKrR69X4PUdWeq4EOzvqySD+8fHYhYVW2W5UZiBhxfJA8PbEqRIoRYPoO+hIdmsuJ0Uh+xwlENeiIHEDCZQvsNvUTbktNhAGIgqGkVf4KHV8eywbHJUTXku66dHEAnBQ+teRgFKXCOBE5rklNTDh6ITZw+LVGbFQVQngRszA/1IwUNAyLDtIiCeiv2IMO4U1eEDdkO+XKKKpiSSwpDTos8fFaWOC2xFELNiPyKIdh7VFu1oFRL0QkMkBL2Qto7DqdG/JDfkrVRbkd2QhyQEYxkpD5kZxFBqdEloovOCeOtwVhFBlIreukA9nBebDNm3gN2QOaEJnRAwgmIS2JLAP0byQ66ndOnSBAFV7NVal4EyYeoKiEgIOsDNykOutPznbXeRa1UeDk8KxnIyKU6m+oqc3cjMiQ+lCQJWBOx1CDrqFCWWwd0UyLqAz6na8ibyMeDMyH7kUzB5cDieIEsCJ0D1I2bAtRJEeejulegd/Wt0IBmTesd6dWmWXCeBg5MOkdNRdnEdgilAiVOjc+hyekKQckM2S9GULmHaXy5ukRD0fVnIkcFNFMap0T8/UYDNJ4tUxeW0uEAspniEWcMjMZh+N7EbshRKcBP6vb9b1iFYYhn0NTMIQ3AD7bDScKM1JsFEEsBQ0hcsHRetvA85jFlZEtwwrnTZhxCQrMu9fzE57fnZ25V4feddXM2pgZHCltMo1dmKSZQanfwM/I2+wgx6/zLr8gQ2R0Wd3xwiIbhoefmtz8VSuILSHdIXGIgZjKZEJg9OicOY1FDFHFjBqPP6uujppBvdEbDGP3OeTD1pRhiCC1aafQzY83DXhRKquFxLRmQfTKPU6I9OS8DgeIpJIMuCuCG7AOh+1IWmQ9D7kYUh9BDxQspotJaZwcUSMiuaEEUVl2cOjcT9E2IwIiVYKQ6ZYUgTBLqCgIdUCOKH0JVFan3tFdITbD9bhL8dzUc1JTQZHBeEJaQ8ZEvCACq/ziZFSY3eE4T7771a1mW93dVEQugGzbEp6EJWFdYepPLrlNCErYdDEikmgcyKrDMIIOWh1FXsBrBySwsCJCJoKdT0TKMmDKGLRMgb/RylOvvT5kzcpYQmrCwcQOHKK8ikOJucjlhfwApGaYJAjxBQSkVKw67zaVMYQhdWjSUBzoT8CdVVzCqqVzEIYyjV2WP3JaioxUCSDJQlQedF7MIjyKW9BAHxVPTyhaqjAKV39+ViL9VKuFlQByMxA9YVcBLUkWRe9CVuLpKBly9iL5qefQo1Pe2OIiE4QSR8NOCKy+yKXETl1xOpsOpMyne4mBSIHMLMJkWTRCs6gaRc4iwCmmOSs9e76jphCJ0geSWnGptPFWEjRSxyGDOnN+PsRovHRiE+IkASmriKEqUfBwQskQyWpucJVBhCB4TYQLqAqxSg9Ca5IXNsAi/LwBhSHlKk4nLyMWB9QQNJBaIvkJ3sLgRa8qzqxxKEIbSzmpzT8DhlN3pjx13cLKxTvHpIoiW70XQqvx4kykN37QHp14qA/ZFBz5eOMIR2SPCz4wVUfr2YJIRqkgvIDZnrKt6XqMKWOVU6Sw96LpLskv6HAB8ZtMhnPWlNGIIdrXGRVa6RsPM8xyTUISSQi6xaEpqMHRCqvA7FktD/NqfuT0ycQLMyKB2CjhxBGIJ1tW8V1FJNxRJKgpqHKqqmNIAKq84eEYH5I6MxlLwQmRGIG7LuW0MG1FmrKAyBAGfl4foj+dhxroSOA00YRDEJi8ZEYyXlMQgPMqoEqPqpdWQPCAIWCUEzNOhJe/2aIXAU4vW8Gryy5Tau5daqTZ9CkgFbEhYTQwgJ8FMMQs8Fkc0gCDACXMpNMz3qSX/9miEcuFKKDylA6Uo2KQ+bfZTH4QMkFUwYFI5QxQxEeSjb0zMI2Ic/66hC6L/hzx8cyCXlYSkuZ1cpz48Z5Hn4DaqrODw5WEUrsulRz4XwDNnJqN6KgAND0HGS/U5CKKo0k+dhITYcK0Q2FVmNDjVg4qAwkgxiVeVlDk6S1Og6UqAM1S4CwhB0IIybZEnYfrYYH9ExocbUpJKYzBkRhQWjo0iRSKnRlSVBh4nIEIJAZwhwPgRbyGNnF7vu+34hIbDon0WJT1XRlKtlqkBKclSACk76xuR4BAWIs5HrSEp6cgkCdq6K4ofgEkQtnXBOw4t3q/F/tt6hsOVadSRII0vC/VRXkROaBJPyUHIYuBBw6arHCKhir3ZnBj11WX1eQthGvgWbKGyZlYdNZEmYQPqCb1Cas1GpIQijoinKrCjHhB4TsXTgWgTs3BB0rf/cZxkCOxOxrmAHWRI4hDnQ6IOp6RGkPIzD+EGh8JOEJq6lYOnNpQhQ/p2WpuMbq08yBC65vvtiKd6nDEfFVQ1IiPSnisthqpTaaIpJ4COCJDRxKf1KZ+5EQEcJts8xBA5K+pzqKm6kYwInNEklfcHckZFUWzFGKRI5h4FYEtxJvdK3qxHQkR/0HcckVh5mk2Twf7/Mwtk7lWrjx4YZVQ6D5RNjSF9gUFFjwgxcTa7SnzsQcIh2dMcAHfTZZySEEzcqVBJUtigwM8hICFJSwX3DIhERbKBjAlkc9GS1Oi6iDNX3ELDEMVgUCXpG2fYJhrCREqBuO12EU5TqjDf91IwIPDIllkqphVJOA7IkSKqzvrdj+vgT2Uc76hld16sZAic0+ZIyG31KdRKu59cgnI4FbFZkN+Sp6eGKOUhCkz6+c/rF4+kn2vZahsBxCLupwOrbe7JRVdeERMqAzBWXl5LOYJgtoUm/oBZ5yD6IgL0OQc86YL2SITAzWLM/F7sow5GJCqqmxIZg2YR4KpoSh8hgoI4yHjU1NTqQia+vLwICDDYPsHq6prGx5Ro/PwP8yYWZT20minNoaGjog2Qmj9RbEOB8CFrT0Q2hd1kZGJjMwlq8vIkSmlBiE66zmBAZSMlMwjBrkA+aastQZvKjjR2oEkxoPuDa7yUlVJiVPBP57+DgENs1/LfZbEJlJSVJoUECA4NgMFisEtIEAU8gYO+pqCcZ9ioJYd/lUmwgH4NzZFbkakljBoarmITss9vxDy++harqWgwZOhz//Iv/hfQhQ9FklQD8aHNfvXIJv/r5T1FaUgJ/f3/89sU/Ysq0+yz6GkL82JFD+I9//z1qaqrxjz/9GZYtXwm+jxmINEFAbwTsHRVFqdgO+p8eK8A2UiCeIUuCny9ZEqg+woMUqWisvIXP921D+tARiI6JxZ3MTLz91mv44f/4CQYMHMS7HXfv3MZ7f30L8fEJmDBxCm7dvI61a95Wf6cNTkd+fh7OnD6B8RMmwtfPD5cvXcSoMWORNijdQdLQmyhkvP6LgDI7WrmCnnKq10sIxZTQZP/XpXjvqxzleBQdaqSKy6F4aGoChkY34ZV3P6It74ff/OFlpCVGYte+Y3j5xd/i/NkzSE5JVRS1f+8e3Lh+DS+/8l+YOCYDF69n4Rf//BMcP3oYSXRNcWEhysrK8OIf/xN0AsH//PXvkJOdjdQBafAjBiFNENAdAftoRx0H92qGkFNWj61UV3HdoTxU1jWqIquc6mzpuFhkJAapjUyvdCxbsZKOAYEoq6UKS8OGIYOOC3m5OaQXMJNy0Iwzp07ivplzEBMfh/I6KMlg4eJluHD+HOYuXIyISAqDDg7Gp+vXISg4SOkOIiOjqNw7iSLSBAFPINAiIOgajeuVDIGVKKXVZry5IxtHrpWjlrT+kSFGKrAajYcpdDk8iM72pEMIj4jCT376c1IiBsBoNNAGBqqrqlBYmI9hI0aoDV1TXY2y0mLMW7AQAf4Uy9DQSMcAX6Vr2LdnF4oKCzBi5GgMGzZCSRasQ/jJP/0M6RlD1P2iQ/DEbpAxbdGOtBcou6dugHglQ7hIuQv+sisH57KqlAkxlVKdLSE3ZA5Sig4xUA4Dizsnn/ejYqIUc2gkb0STqQGnT51AfV0dxo6fQGbGQFSUlyvzovbG57c///BRoLS0BGWkZGQrw+x5CxBHkgObG4cScwgIDBQrg25kKAO1RsB2YuBf9OMH3md23HG+GFtOFeMwpzojLMaTvmDlZEsC1EhiBia7bMi8sU31ZoXl15cv4aUX/w2XL17AY4+vxpixE2jT+6pjA2/41uI/M4nGxgb1PUsBMTExWLR4jtLj1NSDmIpJqFQQ8BgCqi6DplTsIkP44IMPsH79enpBmhTtP/PMM1i9erVTz+I1EgK7GG8mfcEmiku4mEUJTaio6tiBVCdhQpwqtmrw81FOSB01g9GIxKQkREREgH8/d+YUJk6eRv4EFqVgez4FfHTQGIXJZEZ9fReRdwpiuUgQ6BkCzhq+i4uL8dZbbyGTLG2JiYlK2uUX35dffqleeg899BDCwsLuORmvYAgF5SYcIEvCn7ffRWVtI2IobHncwFAsnxCDcSQZsE6hI2agbfShw4bjz2+8RjqAJrz6ysv4cM07xCCS6eEtbNbe80tDRDs+9Gy55G5BwI0IqBLQnb+oeMN/9tln+PDDD/GrX/0K3/72t22TevXVV/Hmm28qxfkDDzyg/HA6fLG68VGc6pqZwfrD+dhM0YqsPOQcBnMo+Sk7HKVGByhdQUe+Qfx2Z2UiKwoZkJoay+afPHU6du/YTj4JtxAbF69Er9YSAt/LP2JWdGqZ5CIdEbDQtZEc4/zha2hU/3bWsrKysHXrVvz4xz/GN7/5TYfL+bhw5swZXL16FYsWLfJehlBAPgZ/2nwH525XopKUh1GkI7ifpAJOdRZF/ga8vTndWUeNdQD19fUKPJYAWDzif9ntWDES+gklEcmXTJMVFeWKafB33DTTIpsc+fvWsQ+dLYB8Lwi4AwHtCNtorkdjfY36MdXV0FDh9xzu2LFjSgKYMWNGmw0fGxuLH/3oR0hISEBISMg9+/HYkeHkzQqsp7Dlo9fLlGSQkRCMJWRWnEnSQXyEvyql1hEz0MT/O5l38M5f3sDDj67CpMlT4UOctZk2PVsP+MFZnxASGoqw8AjcvHEdcxeYyfIQoBSJmbduKMejuLiEdiUIdyy29CkIdIaAv78BueQUt5ve9mc27UNBSSW+qB+HJJ+HMGXKlA5vv3PnDjIyMpCSktLmGmYyU6dOdUoa9ghD2EbVk76kI8Kha2XqeMTFVR+kHAaTKBFqKOU0YAVjZ8cmZgpsGrxNx4JP139IVoXxVLk5GFkF1di2ZZPyI0hMSlEMgU2Q7/31vzFv4RLMmTYOV/KLsevv27B42QpERpHZUuIVOqNT+V4HBIJD/HHy2Al89O5b2HsxF9lVQTA3B2DLwcvIuXEeT6x6CKu+/ZSSiO0bKw/z8/MRRbTML7z2mrNHY5czhIvk/ZeTfYfm5IOU1IEqJkBrFbUNOHa9HO/uzcHNvFqEkYPRsKRgFbY8kzwQuQKzMwlNNH1AUnIynvnec/jgvb/ij2RyTCAl4l3ilKZ6Ex771sOIio6G0WDE7LnzsXXzJrz6ny/jqwmTcP3q14qZTKXgJnZqsg+D1mHdZQhBoA0CHH6fdTsb77/3DtbvvoL6xJkIHUm+NOyBW3IXW7/eg7zX3ycaT8G8+Qvo6NvCFJghlJO/TVCQxcu2J81lDIFdhS9eOIf/fnsNzl2+oc7y40dm4IXnnyN34pHwDYnDbvIx+MtutiSQ3Z+UhxNJIlhOykOuuMyl1zlRqrONH5zHWLh4KXkbFuKvb/4ZdeSQxNzz9y+9gpmz5ypwGKz0jKH49b+9iF/8y09wiRiWgRSRf/j3V1REZE8BdHa+cp33IeAQUejwR9u5tv+13afWXzvpxqFj7Vofcktkn5lP1r6DbYevwHf8dxEZP5K87zgnRzNCUmMRlDQWV8+8g1f/6w1kpKdjUPoQW198JAikF5ymS+sJ0i5hCJWVlXj55Zew9pMvUGVMhE80PQw9bSaJOl8d/AGJOo8gYsp3cCK7GdX1TSQZ+GHOqEg8REVT4sMDlPKwK8xAe2AW9VkUeuiRR+k4sEiJ/r7EJGJi49Ql2lGA/x0+chT+8t46NBKDYF1DTHSMcgBjnYO3tg6JqytU187DOXd713eIc/12De179tmdAa3vnI5ePbbPLXHxtsm2ez17vWpXtLqg08/tevZt8kVpWQm2kBSbFzgD0bHD6Ft2y7PSJnXmS5YGv6Erse3vv8SFc6cpSjfDZkpnRsAKQ24dSbv8YmQFPB8pNMV6eyvRY4bAE3jj9dfw/vqNKI5djNCMOTCGRKmxzNXzkHdjH95+/yOkXPNB6NhvIiEqhBKaRGLhmGiV9ozf0JrysDvry9aBUNITREeH2jy7akkCYQuE1h9vegMxjrS0ZNs1dXRNg3ZNdwbuGl3f8+qeDd+Fu+9xaRd6ceGTO3bl1BycuqjtFFUKfqvLu2baZ4G0mT+jba1+V27tFrd4x78trgDa5/wHf89/a5/zv1qaf97G3K/tbyvj4Jeedh3PgfTmFp7jQyH3Zw8jvz4EgWmj4MPHATNF6tmzo0YzDOEpCEgYgQtXrmP+oiplQePGkjIzhBMnTqCoqEh53bZuu3btwuHDh5XH4vDhwztcwx4zhPq6Wqz54EMUh01G9KRHYQgjTkUbjZsxKhUB4XEoPliEumNb8K0lj+P+qSmYOjiIJAN/mNkNma5jL8T2WksWqU4ENhKtyEpja9ydwdA6UpGOD/XWtGj8PX1t6CCa0TJaxzLgvWjSvkhnR6hbiM1KgIp4iMD4XyuBKSKz+1wjQMaKiVrdy//ZEaHlsxYitNWgYOJVn1vS0LeMYcFem4tK9a0RuTaO3Zx406hLeHzr7+peda3lfdiyQRyfT/vcYQ6t5mp5Futz23DQNqY2Tqvn1uan5tTyfOq9asO0NV7W9749hlZ8tOfi2x3WR32g9WPBsOUay5xsf9th1vKZ5QptjTSxQs2TvyCz9/VDZ1FtjEcAvUx9CGRLj46NacsQOwSZ2YUUtFdpYwh81aRJk7BhwwZcuXKlzYZnq9rGjRspI1jlPX0QuJ8eMQQWxffs3oNbeTS52Q/DEBSFZlO15cm5NdLZKDgWERMeQ82uXyO2/jrGpIxSdRVzKC+ijcgYFztCs4Fn5az2xG4Pqo0wrWDzuC3X2m04hw3UsnHsF0ktcqtF11QajhuwnfvbIy6tPztC0DZpy2a29tWaIdgRpJpDq41imZf2drJ+b8VcbT4rnhaCs15nYyBafQrt89bYa4zGep32dtP6sYJmYwatmEwLk7DHv9WblKZlY078u/bmVJ+3jG9jINob3J5GmNFZGZJGO1qfNsxsz97O7mq92Tq4pL2NyZd2U1BpZxTqiaTXwtwK1Jp9EMgda/un9dX0oA3NfpQ60NTGb2bUqFGYOHEiXn/9dSSRC/+0adNsd7PD0vnz5/H973+/XbOk/TA9YggNNLFPPt0ARGbAPzyBnsP6+tJGUAvSqEQdv4gBuHBsN7YPnQRDANVXpDONRrztvVkcF9fylrOJeDZGYSe6aSKaHVFpb9OWcZj4W4mFVmJTRKnWQuvTulH4b4c+Wzai5a1Ef9uLh7aNavnc9mx2fXROnl27ojVx2oi4I2ruhKLt+7Pvgj+3ZANW/7OUErH+a/nbEpCj7m/1t/a5upekM/t7LVJVy72sB1L32/WhrrCNaS1jYhur9d9a/5bP7efKnWhjt9unw/VWWVEbp4Pnb+mn1fUdzN9yvTY3emmShJCFDHy17RzqGkww0BGivdbsS0eJmnwkRKdR3o5Qh0tYN/DUU0/h9OnTePfdd3Hr1i3licvSwc6dOzFnzhwsWbLEvRIC6w+yc3PRHJpCijp6iPY4G33GWlSfsGQcP38L5YeylY6hmY4V96JX7TsbcVrfBlaBz0ZA9qg4bAzrH603i4UYFBu2UUrr+xzvsS5yq02kXaMOJmr9LBmb28yn1Yfan2oK1vOF7RKN4LVO7AnR7ghj36X9EaWlHyuxWfvRNoXtERywaSFiu2HbPTFxjD5vVl9eT+1367/qb/pcu8bhe2YAtust16gIVLt7bH9bP2easfRlGdN2P/Xl8Hd74zNzUddp87UwK208h76sjKhl7nZz08bV5mLr1/oM/DmvvHoO7b7On88yvuUephpW8mVOmo+sw+twujwX/qxU5AfgN4rWaH81k16huSwTI4fMUc52rdsIygHCwU0vvfQS/vVf/9WmVH/22WfxwgsvUAqAyHYZjf2HPZIQ1Dawba5OxmJmQSD4sYmFftjnwNYcCLT9fuyJXRvXkehaLYQDYdkTl3XhrITVhkjaEKD13lbE0LIp7AiPCV0RT8vGsBG//Xi2760bxUpwlk1ht6m0e5h32G8Q9Ya1J/CO5mjZ15ZN3A6hWze3miP3Z91Ets2teFbLOG0ZSssatmFMdsxM3WfHlVrW0sZ31KJr1xB18F+2N7uNUbUmGe0tqzG+tiRl14cj4+twDpo4YZmB3bysv9tAsGBmucDxOTrdde1cMHZEBiaNHYGz+0/AFDME/hGJVrOj5WKWXGtv7kV6rJFyf07oMJsXeyr+8pe/xHPPPWcbhT9zhhnwDT1iCJygZEAqSQc3bhIzIzMJr2jr1z59pkTqyiwsWDAVqx5IJ3GHIhhZw69tBCsxKkK0I36NSBVRqs+tbwcr8fD12qJYfrcQsEZcGg22FWXtic/yu40YtX60hbYSXUtf7Vyr0YV1Ptrm0OZkL6aqOdoRe8vYls9b7mn/eVr6thd927mvFRbdIVK5R0cEiLif/e53sf/Ev+D8ufWInPQE/MKIKTAzaKiH6c4hmK98hu/89BkyoY++58RYh8A/3WmKIbBycO/evdiyZQsFAVXYRA3eXNOnT8d3aaLtuT4ajf4UZvktrNv0Q9SXZSMkebTSGdiODryZSNQxlWaisTwbP3zyRcybnkLeg3y80DZWd6Yt9wgCfQ+ByZOn4Ff/9EO8+f4G7Nr7ChCcCGNgCMzFORgU24hvP3M/nlz9OHkkUjUiNzXFEFgXsHv3bqxdu1aZLDR/aP48Ly9P2TWXLVumoqnsGystFi5ciBGDEnDy3AYymcTAED3QKurw694P5pLbqDz9MaaPSsfsWeQqbE1Y0ubA7aYHlG4Fgd6EwKpvrSafmmikf/QB8orKaAuRknGQETNnzsUPfvQ8wsMj3fo4NgmB/aBXrVqF3/zmNzbHBmYIr732GtasWYMxY8Zg6NCh7UzGB99/9ink/O//QO7pvyFk6HwYgqNY0IG5pgw113YjqeFrvPDj31LcQJBbH0Y6FwT6AgKLliwD/+Rk30UVJQ1OS0uj2Bt99o5Nh6DlEbDPpsLHhFmzZmHPnj2qbkF7jaWEp595FgUFBXjj7XUoO34WzdHMOMjsVnIdiYZ6/OQFStrw6GNOhV/2hQWVZxAEXIGAVlfEFX0524eDUpF1CWy3tG98TGBf6XtFBLLr8Asv/AOWLF6Mj9Z9jNMXrioT1MSF87Dqscco4nEc5SdwtJs6O0G5ThAQBPRDwIEhsO6gtXmC0y6xWySLLfdqsXFxlK4sTlVLup15U2n7uRRa2qDB+j2NjCQICAI9QkAxBK068v79+/Hzn//cpjxkaYEDIr73ve85bcYYRLUS+UeaICAI9D4EHBgCp2Gqra11CI8spFwD7Pq4fPlycG42aYKAINB3EbBZGVg5yHnbf/azn9msDOwdxRFUv/vd73Dw4EH1fXvpzPsuPPJkgkD/QsBBh8AKxPj4eAd/A5YM2Mpw+fJl5YvAmVmkCQKCQN9EwIEhsM6gpqbGgSGwBYHdIPkoIclI+yYRyFMJAhoCTsUysMmRU5pLeXQhHEGgbyPQxuzIqZztWy6FN7Nicd68effMxda3YZKnEwT6BwI2hsCVYm/cuAHOvaYxBZYMDhw4oHIWTqCQy3slZ+wfcMlTCgJ9GwHFENhFmWMZjhw5ojKu2B8NuOLLr3/9605TL/VtmOTpBIH+gYCNIXC1WC4VxUpF+1oFqamp4Hxt0gQBQaDvI2BzTBo4cCD4R5ogIAj0XwScsjL0X3jkyQWB/oWAMIT+td7ytILAPREQhiAEIggIAjYEhCEIMQgCgoAwBKEBQUAQaIvA/wfgdVAL11px9wAAAABJRU5ErkJggg==)
Given, BC = 1 m and A and B can hear each other up to a range of 2 m.
Here, AC = Hypotenuse
BC = Perpendicular
AC = Base
We know,
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
⇒ AC = 2 m
⇒ A and B can hear each other.
∴ Insect B escapes.
⇒ Spider will not have a meal.
Question 4.To find the cloud ceiling, one night an observer directed a spotlight vertically at the clouds. Using a theodolite placed 100 m from the spotlight and 1.5 m above the ground, he found the angle of elevation to be 60°. How high was the cloud ceiling? (Hint : See figure)
![](data:image/png;base64,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(Note: Cloud ceiling is the lowest altitude at which solid cloud is present. The cloud ceiling at airports must be sufficiently high for safe take offs and landings. At night the cloud ceiling can be determined by illuminating the base of the clouds by a spotlight pointing vertically upward.)
Answer:Given, Base = 100 m and height of cloud ceiling = ?
We know,
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
⇒ 100 √3 = AB
⇒ AB = 100 √3
= 100 (1.732)
= 173.2
⇒ height of ceiling from ground = 173.2 + 1.5
= 174.7 m
Question 5.A simple pendulum of length 40 cm subtends 60° at the vertex in one full oscillation. What will be the shortest distance between the initial position and the final position of the bob? (between the extreme ends)
Answer:![](data:image/png;base64,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)
Given, OA = OC = length of pendulum = 40 cm, ∠AOC = 60°
In triangle OBC,
![](data:image/png;base64,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)
![](data:image/png;base64,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)
= 30°
Here, OC = hypotenuse
AB = perpendicular
BC = base
We know,
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
⇒ 40 = 2 BC
![](data:image/png;base64,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)
⇒ BC = 20 cm
∴ length of AC = 2(BC)
= 2(20)
= 40 cm
∴ the shortest distance between the initial position and the final position of the bob = 40 cm
Question 6.Two crows A and B are sitting at a height of 15 m and 10 m in two different trees vertically opposite to each other . They view a vadai (an eatable) on the ground at an angle of depression 45° and 60° respectively. They start at the same time and fly at the same speed along the shortest path to pick up the vadai. Which bird will succeed in it? Hint : (foot of two trees and vadai (an eatable) are in a straight line)
Answer:![](data:image/jpeg;base64,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)
Given, AC = 15 m, BD = 10 m, AE = ? and BE = ?
In triangle BED,
BE = hypotenuse
BD = perpendicular
ED = Base
∠ BED = ∠ OBE (adjacent angles are equal)
= 60°
We know,
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALIAAAAuCAMAAAC78LNiAAAAAXNSR0IArs4c6QAAAKtQTFRFAAAAAAAAAAA6AABmADo6ADpmADqQAGa2OgAAOgA6OjoAOjo6OjpmOjqQOmY6OmaQOma2OpCQOpC2OpDbZgAAZgBmZjoAZjo6ZjpmZmY6ZpC2ZpDbZrbbZrb/kDoAkDo6kGYAkGY6kJxmkLbbkNvbkNv/tmYAtmY6tmZmtpA6ttvbttv/tv//25A625Bm27Zm27aQ29uQ2/+22////7Zm/9uQ/9u2//+2///bFggvxwAAAAF0Uk5TAEDm2GYAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAAZdEVYdFNvZnR3YXJlAE1pY3Jvc29mdCBPZmZpY2V/7TVxAAAEJUlEQVRoQ+1ZDVfTMBRNCkiRoVMmKLKB4jZUuk3Xdv3/v8x330uTtrSl7VYZR3OOni55TW9e3udFqf/jX9BAqPW46pyB9qY96SCZaIzBzy77h4DM/z0eYW+Q1WZ0rNTKP3jogDnynwVyMiHIKqi+4pqjMOSK0aOWBXKoz5WKLrT3Gc96vPC9r9r79t3XQ0DKrdgp/YYgG4MmCe2NQ1hw5LO9wDCS5WsNcbNlh4sse8VpOfKvyULoa5E/uF6dTENY+JLPklmZyo1gKrmVJ/MzHo1VAKBi4vREe6+TGaZky11CXvmv1mpG//gAkU8wzZeTSX6F4dEyhAUbQ+afeCcHmafMkXjL3QwOGd5wTX6IXfFtY6ISCmiisIKfMmXQjM3PWsjVVt/6HGIYNDYjDncUOnKQg4OHwkoLyMnq0ufgXeeo20BO765cy/aSm0OGLburaA2t6gWrZfuQ0zJmCyuAnMYZo0Arkbdl/mWtZ2eQOZWI62gKAguOcmx4oSa7Xog/ZVfY/QLvTsWXNvsFkLhHgBuu3TQk4081+abTKeB9xtvVwtfeFW5SI7IR0FNfH95h28zKGJZNap6Tz/6iCAxpOiFJHEGUpq8wTZGYDjunqPx7JEI7DBmVJ60oHjppptFLyRc6oQTLjqMXyEiHh9elxRScNbZm2gl0H5DhApydSjYX192mADRG2um09eEpOiu9fc6gOw3gu8DOCpZoRD4rxZJUWVRCcU6TtLpPI0j9y0TrgamyLGSXA/YGNoIgFO0SjCnC0oJBp2kCkGdcQ2BsY+LbHp4SzRF1QA5yagqS0xpo2R7jbzzIcbnSfQx5X22ZMVNxWAJZau4N9Qlu7IFhbD6gK66ALB1Np755W2uteZ/sda04wzk+IXU/9PqU/fYtxqnlKTm/Kb2kopIqi0dM7fL7HhX2/FujCOX7etYI2E4PptRnH6gd0clTEu0+3F3axPCnK6mnJbqDaPemgyyNCvlGkTDSZ0Q2UqMhbXiWWhJGyDJF8Y3wDKlQOySNpTNalnoL2swTRvEEQVO0XEIgWaYI7ye3nOIM/9QYRStBw9qy9yHWqyCNnkIYoQAQppMhZ6illECy3TVXDSiKrVArJI2Fs7YMaMlNyq45woixMLISAilDbs314Ad92Ak1RtFKMAsZz6El3aB0+TrLGMg5asmdRRok6vCoXHMsUyskjYVzEYNAzvDpAi1X1DI2Z2MpQka5dtx7h5GDvBm9+4gChiELYWQbMyGOUyavDDL3dmTHDWrfxhotE8ynkpnk/SxhRMSPwX2u7ol8fkQgWaYIgSK+YO81Qlshq3q5kLBNDZghjJZUwwgvQr2Q0EO2vjGlTcoUxTck+xayRqgXxMVNQ+nA+qAy+sBP4Y0j3EuCPBnemjb3xWh5IoaIAFbz99M+Lnj/9vwDdX+f4HOUx1oAAAAASUVORK5CYII=)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
⇒ BE√3 = 10 x 2
![](data:image/png;base64,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)
= 11.55 m
And, in triangle AEC ,
AC = Perpendicular
AE = Hypotenuse
CE = Base
∠ AEC = ∠ MAE (adjacent angles are equal)
= 45°
We know,
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGcAAAAvCAMAAADJlCTKAAAAAXNSR0IArs4c6QAAAJNQTFRFAAAAAAAAAAA6AABmADo6ADpmADqQAGa2OgAAOgA6OjoAOjpmOjqQOmaQOpDbZgAAZgA6ZgBmZjoAZjo6ZjqQZpCQZpDbZrbbZrb/kDoAkDo6kDpmkGY6kNv/tmYAtmY6ttv/tv/btv//25A625Bm27Zm27aQ29u229v/2////7Zm/7aQ/9uQ/9u2/9vb//+2///bJ2EavAAAAAF0Uk5TAEDm2GYAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAAZdEVYdFNvZnR3YXJlAE1pY3Jvc29mdCBPZmZpY2V/7TVxAAAB40lEQVRYR+1X21bCMBBsQKWKiIAXihjACGJtbf7/69xN0hY4SCfllAclD8DDTnYymc0uQXBe3gq8v4KQ1QiNzDd0iCQUtFoYOh2K9hvIyIYViCQcw8CkN1d+eUqETx4i5JmnRPy9PN1QXGI2OEY3PXkO0gj02xH3Y8yWhHeg6Wr7wOyf9TtN55F8Eo/zwArnxJVFSPpKI6z69JQfj4sn8OwUViLSEUF7cxx6jvwvCiTdE9ki9i4SnyvI+txZ7fJNJGsiVWujy5bpd39VHGMvcAuzlcdHFCD29Lo164PiyL/7Wu0oDqhUJ0RP4P5eZ/sCkz18euN1dMUgHTkpkGkxRrvuBpvY1aJt2V/QVCqJjF4Nhcd8FMhHO3voyJDkLaqWfqHZWgqaj/pY/6UNs8EiFw4WI7klpSWHKwHQMrRVx43K5jxLKJcqhq8YzaOjMQ05TMoaoSLP95q5zQpXS1Q3lsDejPk8bKR0anhkg/yvDz7728JmVs4HhzzwsTb8CzI6QqfX7J4lMCoDedwcqdzdQwjLOzY1akoH8rWmQbJ4dGQHfRXc3hmXga3TKsXp6MbV7FTmGCPKcaOhYP5qL9y7U9Go6ZVa2q2Ta5Jcm6m8iaXEjb0eNwk0lcdofIpFD8h57VPgB43fKHJiwfXuAAAAAElFTkSuQmCC)
⇒ AE = 15√2
= 21.21 m
⇒ BD<AE
⇒ Crow B will succeed.
Question 7.A lamp–post stands at the centre of a circular park. Let P and Q be two points on the boundary such that PQ subtends an angle 90° at the foot of the lamp–post and the angle of elevation of the top of the lamp post from P is 30°. If PQ = 30 m, then find the height of the lamp post.
Answer:![](data:image/png;base64,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)
Given that PQ = 30m and ∠POQ = 90°
Let O be the centre of the park and OR be the lamp post and P and Q be two points on the boundary of the circular park.
In a right triangle OPQ,
OP = OQ = radius.
⇒ ∠OPQ = ∠OQP = 45° (∵ POQ = 90°)
We know,
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
Multiplying and dividing ihe fraction by √2,we get–
![](data:image/png;base64,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)
= 15 √2
And, in triangle RPO,
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGUAAAAuCAMAAAAGPSdSAAAAAXNSR0IArs4c6QAAAI1QTFRFAAAAAAAAAAA6AABmADo6ADpmADqQAGa2OgAAOjoAOjpmOjqQOmaQOma2OpC2OpDbZgAAZgBmZjoAZjqQZrbbZrb/kDoAkDo6kDpmkGY6kLaQkLbbkNv/tmYAtmY6tpA6tpBmttv/tv//25A627Zm27aQ29u229v/2////7Zm/9uQ/9u2/9vb//+2///bDbVRpgAAAAF0Uk5TAEDm2GYAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAAZdEVYdFNvZnR3YXJlAE1pY3Jvc29mdCBPZmZpY2V/7TVxAAACAUlEQVRYR+1X3VqDMAxtmdPObQ51ojjrX4cbVPr+j2eSMsaYUxhkN5oLPi5KT3NyclKE+I/DDLjlSMrhEy5wsZTjNxaydLAQNgoAxkXnaxsN3jlg9AXsauSdEClCpfjGFBozoEceIipH2HgC1UDCEAWf/UceSjmBnT2Kf7JEooAsdhSo+axkjKsuQmRqVlYf3noPF+GupF8vZxYlO2xIW8qLq/g2VlJOSVf2xqvt70QCGZ/N0VwjiXHJ4a8mmAv3Asov3ChRaH89B2ke0vAmXjptN5Sszof2J8c2LlDotWPQONiGK+ZPpiCNIpejGUMH3cTOJhvLpgFBKAlRuAn9/We/p2qCylyrocCeTTLZHrn6tgO9g7LHmA2HR4/wg4yJsvqQIDGWyqqJH8lYrfpeXIV/E4oXdbfYU7LQkroSa+XvCJlqMV1NpTA/ncy9grtSF6HDIIxupADa0913zrsBa/ntKSw/5Rv31ab1reee29SyAUc7S9wD9Vaqpqu2n7ZYn42xLKnC6cQXppxKPBifRNEz6pjnlgQb25gaK7/GsujBI8x0f5/pNT5W9D9BOoZevlrX5kVfYDTIDeq4uPHpFrbU+BA4Mby9FCiG5Z8Pau517H/GBEsumMLSj264MqzFkuU6jnf9UTHZM5DYcNGY7FYL85ClEvUzmJP4cavM+1v8BSERKvYtRPUEAAAAAElFTkSuQmCC)
Multiplying and dividing the fraction by √6, we get–
![](data:image/png;base64,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)
![](data:image/png;base64,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)
⇒ OR = 5√6
∴ the height of the lamp post is 5√6 m
Question 8.A person in an helicopter flying at a height of 700 m, observes two objects lying opposite to each other on either bank of a river. The angles of depression of the objects are 30° and 45°. Find the width of the river. (√3 = 1.732 )
Answer:![](data:image/png;base64,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)
Given, AD = 700 m and BC = ?
In triangle ACD,
∠ACD = ∠ MAC (alternate angles are equal)
= 45°
We know,
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
⇒ DC = 700 m …… (1)
In triangle ABD,
∠ABD = ∠ OAB
= 30° (alternate angles are equal)
We know,
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
⇒ BD = 700√3 …… (2)
Now, adding equation (1) and (2)–
Width of the river = BD + DC
= 700 + 700√3
= 700(1 + √3)
= 700 (1 + 1.732)
= 700 × 2.732
= 1912.40 m
∴ Width of the river is 1912.40 m
Question 9.A person X standing on a horizontal plane, observes a bird flying at a distance of 100 m from him at an angle of elevation of 30c. Another person Y standing on the roof of a 20 m high building, observes the bird at the same time at an angle of elevation of 45°. If X and Y are on the opposite sides of the bird, then find the distance of the bird from Y.
Answer:![](data:image/png;base64,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)
Given, AC = 700 m and EF = ?
Let position of person X be B, position of person Y be F and AE = x.
In triangle ABC
∠ABC = 30°
We know,
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAIAAAAAqCAMAAABMZ6NxAAAAAXNSR0IArs4c6QAAAHVQTFRFAAAAAAAAAAA6AABmADo6ADpmADqQAGa2OgAAOgA6OjpmOjqQOmY6OmaQOma2OpDbZgAAZjoAZjo6ZjpmZmYAZpDbZrbbZrb/kDoAkDo6kGY6kNv/tmYAttv/tv//25A627aQ2////7Zm/9uQ/9u2//+2///b/c8SXQAAAAF0Uk5TAEDm2GYAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAAZdEVYdFNvZnR3YXJlAE1pY3Jvc29mdCBPZmZpY2V/7TVxAAACA0lEQVRYR+2XW3vCIAyGwW3qDm66Y6e4alv5/z9xCdQCBSUi0100F33UYvI1h8LL2GDHM7B5XWVMkdwsOL9THuWS88d1zHez4Dc/sUWH78viy70p+Cdr5uhSFuNtU8Sc17N1GVtzTJ4vYALLSw6yqhHkocJPESMKEJyPtyXvOfQEqGAqrMAH281R0HEjCmACnsiLFxaAsbECKACveQSgx/Kl5ysooJ5CArQAfc0jgNXTp2fbFRSlNay2MVmgzD8QwEo3kBq1/hTgT6rs+xLk6wG2e3v3BiYgQEx00tsm7BfNLwe1CeX3yu9pX0CJRa8grJ5Fyhj6iQ01jRTgtOK9B/IE1PfQD2otDkC8B+VyCo10+xHrVCgpH0EGeE9B4E2oGhN1wkuWz6IzEI08LBgykDMD9UP0eJAzXMCX2qIvbzi94W0jrOXQJpNFeTmyTihGF36K+HcXn/LNcewIyPJIBCf/qARXasIuSdcfQ0K9LrvEwpiEwHukMgREYyErlMGY0+N3SGUIiMZCdijRYczJAgxSGQIis5AbjXJsC+prD5OGgMgs5LpTf0sxLcAQEJ2FnGgKY5LMFoDB6Shih9MYk2RZBLQYc7YAJAY6C9mD2GJMigK3CSGRZBYy0TqMOUOAISAyC5nNocOYJAH6fGUIiMZCzotInytS2tBCKkNAAwuFC/kLzQQv3KKCZZgAAAAASUVORK5CYII=)
⇒ 100 = 2 (x + 20)
⇒ 100 = 2x + 40
⇒ 2x = 60
⇒ x = 30
And, in triangle AFE,
∠AFE = 45°
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
⇒ EF = 30√2
∴ Distance of the bird from Y is 30√2 m.
Question 10.A student sitting in a classroom sees a picture on the black board at a height of 1.5 m from the horizontal level of sight. The angle of elevation of the picture is 30°. As the picture is not clear to him, he moves straight towards the black board and sees the picture at an angle of elevation of 45°. Find the distance moved by the student.
Answer:![](data:image/png;base64,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)
Given, AD = 1.5 m and distance moved = BC = ?
In triangle ABD,
∠ABD = 30°
We know,
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
⇒ BD = 1.5 x √3
⇒ BD = 1.5√3
Now, in triangle ACD,
∠ACD = 45°
We know,
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALMAAAArCAMAAAAE/0nvAAAAAXNSR0IArs4c6QAAAKhQTFRFAAAAAAAAAAA6AABmADo6ADpmADqQAGa2OgAAOgA6OjoAOjo6OjpmOjqQOmY6OmaQOma2OpC2OpDbZgAAZjoAZjo6ZmY6ZpC2ZpDbZrbbZrb/kDoAkDo6kGYAkGY6kJxmkLyQkLbbkNvbkNv/tmYAtmY6tmZmtpA6ttvbttv/tv//25A625Bm27Zm27aQ29uQ2/+22////7Zm/9uQ/9u2/9vb//+2///b6Hel9QAAAAF0Uk5TAEDm2GYAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAAZdEVYdFNvZnR3YXJlAE1pY3Jvc29mdCBPZmZpY2V/7TVxAAADTklEQVRYR+1Yi3bSQBDdTV9bRUVprYRWrUCrhKIkkf3/P3Pu7CMJkhwIoayn7jlwkn3lzuydx44Q/9sL0UAqZVwnaiKj8aHUoEcSrfejzQdSYOa/v1t6OMxiNbgQYqFOZi1AZ+o4mPWIMIuk/pQbZGHMNe2QejaYU/lBiOxKRp/wLOO5ir7I6Nujkn1gqoz4LvmWMFtS0wwZxSlYnCmmDLihn15JTLdbtjjKjUsKPWdqSCShz2WqN1xcjlOw/ImFKY2MzZmgS9+ZJ/uaD2KRAKmhOT3R3ks9QZfZslPMC3W+FBP6sQSZIpz203pUHWF8NIzJBhxj5lesqWDmLisTb9lRY8cR9ZdkjNgWH7c0NQ6BOtZG8Gq6LJzYvjZirmf+7oIYblBbDdjrkQOpYE5OZmsjO2DWi2vFTrzJWvfC7I5vs579OW+PGXwuDmN3bHUrvJ79Q0XP6F0bAWbnbawK/Ywqn/nNE6g7zBxTjP1IcgVzdnZMvlQSt+fGqMojbINJdC/yax8HE8x4gJ/rL4tuzMw/NgSedmLABK3Ni7mS0Q0OU8LBEdLXSp7eY9/SSAx2k6KnZLg/yRNjNolIM84wlbpv0E0emaSdknf+NTCTunQctbLWJBLtdLPVKv2ZZDROs2V7dsww2dxTtRXqQ2DOLhsyVGPA++SDlqitxK3nWxMiDqbdevIO0JNNImpVUyeTc1FCxdHNRNiQmsn2yqmTzbk85iIYhIK7YGsRamxK5pIH6eIFME84n0Dbh+b7Sb8Js2ODiW5b6NnL8RwPzitUUyeHOXg+l9IQb3XsN1Z0cyhaMNxYS508ZnPJaXWb3o+xzathbw9fq6mTs0GUACgOhubqOIeKK6mTzblY1Jwu0e8PqbKw97a1Jlwa/53GnlM/Vrx96Oid53SXg9DxlrMXaNtWhkR+a0oMrsYUmhys5993Z7MivUGtRt9xMcRWnwIDbYzw3NV7kd5wIMjelKpPwWEGK7jwhsYp2VT2vvt015W+AsJdskGf3ggiNpGlqDEFhLewQT2iG4avDFH/Ql0EeK2wuiv07NMbUBn1xy3S3eMcgIkpEyqr+MoQ3EV+Rd2+xnQcaHVftbH7dEgTXGUov6XS0DsEc1tjCgvyy0bzBwbedIiTkdCTAAAAAElFTkSuQmCC)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
⇒ CD = 1.5
⇒ BC = BD – CD
⇒ BC = 1.5 √3 – 1.5
⇒ BC = 1.5 (√3 – 1)
⇒ BC = 1.5(1.732 – 1)
⇒ BC = 1.5 (0.732)
⇒ BC = 1.098 m
∴ the distance moved by the student is 1.098 m.
Question 11.A boy is standing at some distance from a 30 m tall building and his eye level from the ground is 1.5 m. The angle of elevation from his eyes to the top of the building increases from 30° to 60° as he walks towards the building. Find the distance he walked towards the building.
Answer:![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAASYAAADjCAYAAAAolrlpAAAAAXNSR0IArs4c6QAAAAlwSFlzAAAOxAAADsQBlSsOGwAAABl0RVh0U29mdHdhcmUATWljcm9zb2Z0IE9mZmljZX/tNXEAAEgwSURBVHhe7X0HfFRV2veT3kjvoYXepIaOdKR3ARUL6OvuupZdX/dzd/38Vl0VX3Vfu+taEVQUpRdp0nvvRRAwhiQkpPeefM//zNzJnWGSTJKZ5M7MOfzmB8zccs7/nPu/z/Ocp7hXcSPZJAISAYmAhhBw11BfZFckAhIBiYBAQBKTXAgSAY0jUFpaSitWrKBjx47RE088QZ06ddJ4jxvfPUlMjcdQXkEiYFMELl++TKtXr6b09HT67LPP6Pnnn6fAwECb3rO5Ly6JqblnQN5fIlALAgUFBUJa6ty5Mz388MP03nvv0YULF2jo0KEOjZskJoeeXjk4e0fg6tWrdOjQIXr22WdpwIABtHnzZtq/fz/FxcWRl5eXvQ+vxv5LYnLYqZUDs3cEysrKaO/evUJauvPOO8nX15emTZtGL7zwAo0YMYIGDx5s70OUxOSwMygH5rAInDlzhpYsWULTp0+no0ePinFCtYOkBMmpb9++Dis1SYnJYZe1HJg9IwBpad++fVRRUUFQ5/BBc3V1FYbvAwcOUEJCgsPu0ElisufVK/vusAjEx8fT7t276R//+AfdfffdRuPMzMykxx9/nNauXUtPPfUUeXt7OxwOkpgcbkrlgOwdgcLCQvrmm28IUhOM3KYNEtPo0aNp8eLFNHz4cBo0aBC5uLjY+7CN+i+JyaGmUw7GERDIz88XKtv9999PrVq1um1Ibm5uNHbsWLpy5Qrl5uYSosokMTnCzMsxSAQ0jEBERAS9+OKLtfawY8eO9NZbb2l4FI3rmpSYGoefPFsiIBGwAQKSmGwAqrykREAi0DgEJDE1Dj95tkRAImADBCQx2QBUeUmJgESgcQhIYmocfvJsiYBEwAYISGKyAajykhIBiUDjEJDE1Dj85NkSAYmADRCQxGQDUOUlJQLWRaBSfzlX615Ww1eTxKThyZFdc14EysvL6PKFs3T02Am6diNVANGhdQQNHNCfuvboRW7uHg4NjiQmh55eOTh7RCAlOYlee20RLd91mcoCOlKFbxQPw4XcCk+Qxzvf031jutJz//f/UVR0jD0Oz6I+S2KyCCZ5kESgaRAoKSqiPz/zLP1wPI9a9P8jeYW05YohOlWuityoKCOe3t+8hFIz/kpLF39GXt4+TdOxJr6LJKYmBlzeTiJQEwJVlZW0fccO2ncuiYKG/B/y9I+gqvJCw+EuLDX5hrYmt8G/p72n36KdO3bSxMmTOIDX8WxPkpjkcyIR0AgCsCudOHWaKoO7kqunD1VVlJn0rEp85+bpSxWBnekYHzvurnHk4el4ub8lMWlkUcpuSAQ83N2oVVQYuZWeoTLUx4YkVFVhDIz4rorcy7IoIixOpEdxxCaJyRFnVY7JLhHILHKlgpB+VJLxGZUkHCbfDiO5JK03uQhycqEqFzeqKC+h3OsHKaYimaayGueou3OSmOxyCctOOxICOUXltPtCJm09m0WXkz0pvP88Sji4nLIyfyPv1gPJs0WwGG5pQRblXz9MXd0u0qKX/kqt2rR1JBiMxiKJyWGnVg5M6wgUlVbQ6d/yafXRW3TwSjaVlVdRqzAfquw5kbyDOHPljX1UmbeDrsdXQnujbtFuNHF6B7rnnj/RHT17a314jeqfJKZGwSdPlgg0DIHj13MFIR29lku5heXUJsybBnYIZKLKo1LO9d2+exwtfGIWXbt2nd5aeYpdBapowT1x9OT0Hg27oZ2dJYnJziZMdtd+EYA9+8rNQtpyOp22nc2kGxnF1JYJaeaIaOoXG0AbT6XR9dQi8vN2o1n9AqlzGFFadiR5RnYTg/YOCKfySjZ8uzpW4QFzMyqJyX7Xuey5HSGQmFnMxJNB289m0G9pxRTo605T+4XRfUMjyc/LnZbuvUl7LmZRCyale4dGUb/2gVTBJFRZUcq+TCVClSsrK7WjETeuq5KYGoefPFsiUCsCqTmltPdSNm06lU7nE7n6CQs743qG0JgeITS0cyDlFpfTf35Koq1n0snDzYVmDQinO7sEYhOOpSMiNz4B8hFUORAV/+UUTRKTU0yzHGRTI1Baxl7c5zOFHelCUoEor9S3rT/NGRxJd7RuQUF+7pRTWEbf7k+hHeczmJRcaQpLUCO6hZDgH5Rk4k676uvFgY8EMTlJk8TkJBMth9k0CBSVVtKRqzksAWXQId5pyymqoJ6t/WhSn3Aa0imAQgM8qJzdkrLyy2glk9aGk+nMQi40sU8YTeaPO0tNICDBR/wRxKQTmZiwIDc5R5PE5BzzLEdpYwRgAzp3I4/WHEuj3WwryuGdtg4RPnT3oGCazupZoLe7IJwSdukG14C4Vh5OpWImsrF3hAh7k5eHK5OWMfWwICV4Ca1CSctk47Fo4fKSmLQwC7IPdo3ApeQC2no6g3ZdyCIYuWHYXjgymoZ3DaZOUb5UwsYifFxhYGLe2XUxk35gUirj74Z0DqKZAyLMkhJAEefA65uZr1Kqcna9TmTnJQJNggAM2z+yUftHVseupxVRWAsPoY7NYAmpHUtLMFwXllQI9Qv8AkkJhvAvdiZTRl4p9e8QQPcPixT2pjITSQkDgNnbTZU5QEhMTqLLSYmpSZawvIkjIZCeV8bhI+m041wWXUgsYL8iorG8yzalbyh1b9VCSD/w4i7X614gJXfWyU79mstuAcmUlltKXWP8aO7gKCYl2JxqZhtBaHrwnGhTjnNQySYRkAhYhEA+b+3DsA070tGruYIx+rcLEDaisewCAAIphdrGO3JKw24cyOU8258+ZUnpZlYJdYn2o4dGxlB0sJdwmDRLS0LMAqEJ0Un4MelUOZF2wKL+2vNBkpjsefZk35sEgQqWaA7wDhsI6TRLPQVssI6N8KZ5LPH0i/WniABPKmIywq6ZukF1A7H8klxIH25NpKspRdQ23JseZE/vduE+rL7pYuBqasK6pPLyrqjt4CZBouluIomp6bCWd7IzBLCLdjGxUISK7GSfpBS2KUHamdMjmMb3ChGEhGMKOBjXtIGU4JuUzBLSEvbqvpZaSJGBnnQP+zHB/lQXKSnXc+MLqVU5O4Owwd2VxNRg6OSJjowApJv1J27RHjZWJ2WWUJi/Bz0wLIom9Q2jVqGcMZIlHahsNQk8MHxDbft4eyKdis+jcH9PemB4NPViJ0vOoFurpKTGFe4CSoMq5yS2b2ljcuSHS46t/gggsHbvxWwhJV1mFczf142mxYXRaDZuQ23D7hm2+WsjCISWIMfSEjZ0H76SQz5eruzPFEH92B4FUjJV+cz1Urm+cBcQXgYyJKX+synPkAjYOQK5TCRwelzF3tiI8Pf2dKWhHLM2f1g0tWfVC+RSyCpbXWYeeG7nF1fQMg412f9zDvl6caYA9lMa3ClIGK/r44oEFc6gyuk9v+0cZou7L1U5i6GSBzoiAnlMSPtZqkEQ7THOjVTM6tkAjuyHDWkwB9n6erqJ7Xx4aNfVoHbBbwmktIUdLiHsTGOPbgTtQrVrSKybEpqCe0PacpYmiclZZlqO0wgBSC5Hxda/LntkMYeKdI7yoQm9obYFU4CPzulRvfVfG4SQlCARbTiRxvFvaYKEcK3xvUIbTEoiVo5vqg+VE9eXNia5kCUCDogACOkMG6O3nsugPRxCksrOjjHsT/RgXDgNY9WtLW/jg4wgOVnaYAcqZ4fKzawKrmaXAjTYpKbzNT3Y+7IhkpLh3vrsAvj/7Xt/lvbQ/o6TEpP9zZnscQMRSGTD9jqWaBBCcjO7hKKDvEX+o3lDonjXzEOkJilg+1B9GqonQarZzsUEvt6XTNkcvIsYubnsFtCC7UvmQk3qc31dpJzOYQDxcs7SJDE5y0w78ThBSIhpQ5zaL+xP5M0hIzP7R9AY9tju0cpPPPhlbMCp74OPlCSswdFh9gKHXSm3sIJ6t/Gn2Wzs9mNSgld3Y5vaxtQoyauxHWni8yUxNTHg8nZNh0A2J2LbyylI1h5Po5OsviGF7VDeHZvUJ5QGdAwUpIKo//oSEkagBOUe46ICn+1Iolu5ZSIB3ILhMRTBjpTwFm88LenyMVXbmCz3f2o6lG1zJ0lMtsFVXrUZEcDO2N5LWUJtO5+QL9Spvpzsf/bACOrVpgWFtHAXxu6yBko0uqBcF86/VECfsgPlb+nF1JHTm8y/M4qiEP+GUBMrjd9gYhJZLa10UTu4jCQmO5gk2UXLEEBE/zkmIuy07WFigpNjT5ZiRncPFh7b8CmCOlRYYrlh2/TOwreImSn+VjF9uSuZElhNbBPqTfO5gECrEG9W36xISrAvqbILyFg5y9aBPEoioBkEzjIhIb/2YXYByGC1KjrEix4aESOcJFuyFFOfrf+aBgWSgMNjPEtIH227wSlP8oUBfSFnCuja0k9kmLS2VCNUOb3YJBPFaWa5yY5IBGpH4Cp7aW/nrX94bV+/VUSRQZ4i/OMudpDsGtNCpCGpz9Z/bXdDqElGXjkt3ZMsKujC12nOoEjOweSnS19iQ1ULl26g5mmXS0iqcnY5bbLTt9j/CCWRVh9NExH8IInJrK7BjtSWVSsv9h8q4PxJ1uIK2JQyOUHc4t032UM8T6TPhZtBXDt/4RluS9JQ7Ew6I721RqTtNSSJSdvzI3tngkAmVxdBsv+tXDjyNO+04TEd3jVIJGsbwiEkUH1ECAmKslmpofJtHvs3oSjlLvZXAkkhT/fwLkHCBmTrbXwl7YlQFa00Jq1fRhKT1mdI9k8gAPvKLiakVUdu0Yn4XHLhkkdIYwufob4stQT4uAmP7XIr61MgoVI2qq/m+/50LlO4CUzivN4juwWLWBFbkxLGrkhM1jOra39RSWLS/hw5dQ+RUA3BtVtOZ4oskvBN6hjpK9S2oVxhJDrIg32Rqgj13KzdIH2B7BBmghg4kBLi31BwwKOBQbkN6WO157fTaHIyH1NDFoo8p2kQuMxlkeAcuYUN29kF5RTLaWlncPzZtP7hFMQ2HthcChqx9V/bKERpbiaiLScz6IdDqVTEqtyYnqHsMR5Onmbqv9kUEb0uJ3flbIqyvLhEoHYErnLYyFqWUg5xOpIE3poP4rJI8zl75IhuQWJbHjakupK1NQZjQUp8AXiNo/4bpKaBnQIFKXm462xYTdl0qpzOwN60d27KURrfS6pyzYe9vLMJAulca+2nM5nCY/tCUgGFMiEhnm0mB9oi1zbyHYl0tjZ8OpXc//suZ9Nn7ECJnbh+7bn+G3t1w2O8qUlJ2Jh0vGTTnT+tLUZJTFqbESfsDyLyd3Cyf+QxupxUyNVnOW0Ie2tP4SRr8NxGQGwppCQOI7FlU+q/neRKKIuZlFI5AwEkNBQQAEk2NlNAg/suUuvyx5Y+CQ3unG1OlMRkG1zlVS1AACWPjnFk/lpO+n+QJRQlpu0uzvg4jiUlN94RE1v/9ciNZMFtzR4i6r8xIV7kApZf6EmpY5QfPXBnNEUF6eq/NVczVElprg40w30lMTUD6PKWJApHwn5z8tc8kQOpHe+0zYgLpThOaxvN3tslLB2VNwEhCVUJQblMSr+kFIpQkys3C6ltmC7UpANKLYmUKE0/a7glSAm7g2iWFDFo+l7a5o6SmGyDq7yqGQQgdEAi2cbltX/i8trJWcW80+YjMj1O5G34liG6Om222PqvaUKU+m+pXDNuCXt1/8w7gWFcamnukEgmJX1QbjOQkqG/COI17Mo5z7KSxOQ8c92sI8Xu2oYT6VyrLY1g5MbDfy9H5E/sHUqtOYQEhm2obE0pmSiZAlKyS+mTHYkc/8b137iIJQzdvTjhG5zHm1GDq+YmPTE5UUSK9GNq1qfVCW6Ohx5BttvOZtLFpHzy4bJIIKOxbEfqz7tdCLOAE2VFedODARsW/KMW704SNi4froiCAOABHQLZ0Mxe3U3JkrUM3yAxcX+aU3hryhmSElNTou1E90INtp2srq04kirSg3h7uNEQzh45hx/8TtG+1MLbrcklJDX8CDUpZG/x5Qe5/tvlLH263XDRx/rWf7P1tMqc37ZGWF7f4RFA9sj9l3PYWzudTnAoSRHrQ1CL7uIyRsM5N1KAL2+783dNaUcyBR0OlOjndwdShVe5O2/HTY/jVCns2d3Q+m+2nNhqicmWd9HWtaXEpK35sOvenOLgWqQh2c4+SXCE7MQ7bcgciTptSBOCrf8ilqSasyFTANShDVwpZd3xW8JFYSLHvk1g9dK9Gby6LcJCMX5rRLW0qM+NPEgSUyMBlKcTnb+Rz1H/aRxsm0MpOSWiThsKPQ7jtCDIhY1kbZYWjrQlnqj/hl2/bZwlYA1nu4Rhe2S3EFEtF6pdc3h1WzJeV6V8kyUHO8gxkpgcZCKbYxg3OUEbyiJhp+1Xzh4ZzYQ0g+PJZnEqEvxbUZmao2+m9xShJkxEOzifEjJQwugN4rxnSAT566vuaqGf5vpgSBRn/QQKWh2y3JXT7MxouGPw+dlyOp02nc4QSfl9vV1pGvsijWMbTc/WfoQUtGWssaFaiBYaHBTd3YiDgnO5KGUKZeVzkYI2fiItLkhJq5ISsNMVvNQ17MnJXTktrCjZB00hkM8e2qg+gpi242zYdmfno7gO/jSVVaHBHH0PAhBqG+dH0kpDqAkkjhPsYf4FuwWkc0reHkyeD3KhgrAAD0FK2umtedSggqLJtCdaWVWyH5pAAGWR9rOfz7cHUugSR/3jYUZ9tqn9wqlPW392SvTQ1WmD84+Gms6rG/Xf8jnUhOu/penqvz04PFqUWoL/lNZJSZGaBDHZQ2etNP/SxmQlIB3xMiAgVAPZfCqNdrGkhBQgXWJ8ORVJKE1k43agn7t4i8MfSGtNCTVJSC8SNiX83ZLJ6F4ONWnFnuaClOzkQVcXvbQLJrXCYpDEZAUQHfESlzmQFXXatrGfTy4XjmzNQa3zOP3HME5niwcbAaWlCCHR6OCh/qBCLiSlCywxRXOGgIdGRFM3LrVki/pvtoRByRElq6TYEmV5bU0jgIf5R/bxQeL/a5xJMpilIuy0wc+nByf/h98P7EhabsgyiaKXCDVB9gIUKpjDpNqT1c8K2JS0yqbmQBXWb72NScugW7lvUmKyMqD2ejmURdrGMW0rDt8SW/+o0zaBi0ZO6x9B7TnXtjfHkcFbWuvPNGxKOewK8NW+m3SUcz35e7vT3MERHJcXKEjJHu001WlP7HV11b/fkpjqj5lDnZHD2SPhqQ2VDUZiNFQfQaI2lNf24ERFeKC14CBZF/Dwm4LauYRtSjvOZ5En9x0FMOFEiT13Tqtkl83gx2SXvW9YpyUxNQw3hzhr38/Zwo4EFwCEaiCNLfyR4tqjTps7p7OtFHYke2iK5zZCYhD/BikDpZYQDtMURSlthZFIFMcfpUS41iVWa+EgiclaSNrJdbCLBrvLCi7giNzWqNPWibfQx3EakuFdg3kb3Yv9kCqbJJ2ttSCDpFTK7grrOEXvRvaxAklB4kP9Ny0G5dZv3PDD0tmY7Mo2Vr9B3na0JKZGAmhPpyNl7Cb22IZxG97bbXinDTmt4Y8EIzdaAduR7KkpzodbuGT49wdTuZR3uSgXPmtgJPlw/bdmKyBgDRD14lG1u4CdGe4bgYEkpkaAZy+nInvkOi4ciRLXKVz5AxU/sPU/kiuR3MFe0HgTI9m+vb2RQUrYSkf9t+85rxJIFUbuGWyw9+KdObsmJdXiMrgL8HfO4v0ticle2KUB/cROG+wtkJLOJ+SLXEije/BOW1wYdeOyRLAriTptDbh2c5+ChxUJTA78nMNuAcki/q1vbIDw6g5pwbnDNRKnZw2cFFUOb44mrrVpje436BqSmBoEm7ZPQkzb7gtZtOzATd76LxZhGZCOkAitN4eQBPhynTYOM2mKski2QEpX/82F499y6bOdSZTEWQ66M9Hex9V6wzhndznbyOyRbGvCyqDKQWJypIHVsjgkMdniyWmma8JoffiXHNrENiTEthXz/+EUOblPKI1hSQnb51DZijUYQmIpZHhIYdCGvexLrmqSyvmf2nOJJZBSVCCTkp3Ev1k8Xj4QO4z4o9uZcw5mksRk6QrR+HGn43mnjeu07WZ7C6Qh5NVG0n8k/G/JO22IDQNx2XNTSOlqShH9e2si/cLk1CrUhx4e2ZI6RvrYpZ2szvlQyjehGi/KhDuJyCSJqc6Voe0DLnMdtDXH0ugAS0hJmcWcoM2bpaNgmsBSUht+aJGx0V5VNjXy2DD34DQrMN5/yaEmF7jiSoifB3t1RzIJMynZW6hJPZaVYvzGKfbqJFqP4YpDJTHVFzGNHH8jo4S2csL/VeyPlJpTRhGB/JAOiRL+O205hAR2pWLO1uYIkr+o/8bjucVq2+dcvvt0fD6FsYH7Pq5L17ttC0FKjihIKEobHCyVpgvkdfwmicnO5jiNE50hkf4ODiOBncXPy03UaJvYO4T6tQsQo4GdBeqcIzRdUUqiLI5/AyntZ2911Kabw/FvSE4H5dTR7S4i2Z0Yp3Zq3dl6bUlisjXCVro+1LGdTEarj92iYxyc6sd12YZ2DqSZHPnfKdqPg1XdhA3J0V6o2H1DqacfDqXQXg6d8WSWmsYOoaL+G5uDHV21EckFVLqcA3lB1PpkSGKyEnHY6jJIMYKdtuXs1XyeC0cidq1vO3/h3TyCQ0hC2FkSMW2OYEcyxRC7UQVc7umHQ7dYbc0Qu4qoaKLV+m+2WgMGXmKJSapytkJZXtdiBI5fzxUPJIpHFhRznTbOHomdtlEcLR/o5ybKWKPirSM2uARA+tvIFVhQagkEPZGDcif3Ddd0qSVbzIXa81s6WNoCYXlNixCA7eiHQ6mE6H94byOwdtaAYBEp34G3xZGDu5w/jmFFuh0ShZR+OsuqK2cLgO/VnV2DRNED2Ju0XNXEogmu50FKPibMuHQXqCd48vDGI3CTt8LXH0+nrWfTCb46kYFeNJNrtOGBhC8SQkjgHOmohAQEIR3AyLsL9d/2JVNOUQXbkwK5/ls0V/N1c5j4N4tXi96PSSnh5OiGfgUXaWOyeIXY7sB0TvK/nQNsv+MQkuTsUpEKFraUEd1DxHa4tz5K3t4dJOtCUBdq4koHr2SLZG8otdSLQ2jmcv23IGckJT1gBokJDpaO/FZSLRBJTHU9LTb8Halqt7G6spVTdpxgexJUmIEdAtiOwnXaOgYK350yjZTXtiEM4tLYEndlNQ0e7CClDCbr7i1b0P3DoinUn+u/OcsTaQK0SBSnODIJz29bz4Q2ri+JqRnmATaSw1dzRP6go1w40sWlSgTXIllbf95xC+dAVBSNLLeT7JGNhVCUWmJSPp+YR//mqibIOY7kdQ+PitGVWnKwoNz64lVtY2I/JichaElM9V0ljTgehsvTnH5kFSf8P3Ith1N1lFEsB6BO4BptIKVg3vqv4mOKnISQdJISCd8keLIv2YNsCIWi1NI89mKH0d9eilI2YlnUearOvVKXXtfR/NRqGrwkpjqXhXUO+Dm5kDafTqO1HNeGtCRtw3xoNhu2B7OTZFvOJIkmJAMnsSEIUuIP1NcbHOP3n+2o/1YgSOlB1H/jNCZldpi8zjqrxfgq1f6VCL1xjgUiickWK0l1zaTMElqJqP9L2SwVFLG9xJNGs3Mk/JGQkgRqnTOqKiAleHWnsS0JOZWOsUoLo/+8oZGi7Li9FaW05TKCjUnkZJLZBWwJs3NcO7OA67SdyaS1x2/RxcQC4aGNqh3IjYT8QT4c41ZkB3XabDVbIKVclhyX7U+ho+zZjpi/2QMiKa4d139jSclJTCl1wquqdylUOelgWSdk8gBzCOTxw4aYLjhIIl8Q3naIaZvIFTsGdQzgBPluYofJHuq02WqGlfpvX+1NEcHIKKZ5N9d/G8VZNiEZOMvOk0X4IoBX6HI6T3ipylmEmjxIjcBOTme7hfNrI1kb3m69uST1JCYk1GkL5HzbkAQc3ReprhUBSQk4IIfUZsYKkhHKLI3lDJt4AJ1l16kunNS/M2R687dMFFcf3Jz6WDxY5xLy6BsuSX3sep4oo43skcO7BHOe7SDe7vYSKUgQ6+XsDZISwmk2nkqjDSfShe/SXXcEM3mHCiOKJCXzK8RNqSvHrzupyjn7U2TB+BHThrJIUEeQWbE1+9ygJPUUlgCCWriLB6+wRBISoESMG9SQzRyU/C3blbAzOZpVN6hwvmxfcpRSSxYsm/ofoqoRLrML1B8+pzkDddpQFmnVkVTK4LJBEZwEHyleR3KQbbcYPyF26wy4zrG1W9fEi2T6DMoBtr0tP5BCuRz/1p/V21nsLuHD9iVnC8qtCy/178KlQh8oJ4oROMl7TroL1GOV5BSWsx/SLZaQsuj8jXyRrA3ZI6ewKtKNwyeQzha5kSQfVYOqkBJySsGBEiXJ+8b603wONQninUpJSjUvQENqXV0RPV2VFCfZrpTEZAEx5fEbHuWQvuNqr5d46x+pXVGnbUS3YGHYDvJ15102adg2hdJQ/43jAD/ezvXf2KerRys/eoCLUkaxIyW8umWrGwEX+DHhMBnEWzdYznAE7B6HruTQSk74f5KLK8KA3Y0fLOwijewWJLa58QZD6lfZjBGA6oZMAddSCkVQ7s2sYooN9+H0JZGczsVTF2oiNd26lw3j6KqEpOiJCbApaVDqvoB9HiElphrmDZ7Im0+l04/Y0mbe6cLZIxHTFtc+kEskcQlqJiRn9Ni2ZJkb6r+lFnJQ7g36hckJGwMLR0ZTRw7OlV7dlqCok5BMbUwiy4ITMJMkJpM1cp0j27/Ze5MOcfT/rVzOHhnspS+vrSuLhIdKbv3X/mCh/huS3n3BoSbnOGgZXu/3cFBuV94YcOT6bxbSTb0PczXkPZHZBeoNnr2f8BvvtCG/9gbOMZ3Ake6QipCgbBT7IrXjEBIvTtaGhP9S/ah5ppX4t/S8Ui5KmUynOLcSSOleLt/dq42/w9Z/s/XaN8TKydS6toZaO9dH9sifOFHbGs4tHZ9eRP4cSIoKJIhpQzUS7CqhTpszh5BYOluubO1GKpfPd+rqv8E/aR67UQzlUkvOtNVtKV6WHmcoRoC6csi4IG1MlkJnf8dBpdh4Mk34Ix3hOm2+bMge2jmIpsWFUWdWOfz5ocLWf7kUkSyaXISaQMX9gXNNIV83XCemcibOYV2CxPnOss1tEVj1PEhdIlznHe/41OR0NiaoY1AxvtiVJLb+Mc9x7QNEBRIUUQz3d2dCklv/9Xl2EGqCIgnYvYQ67MX13xAjOK4nh5qw+VaGmtQHTeNjsZEASVSf9USHpePzEjkVMSGNLWxI+37OorxCjmkTO22c9J+3/oP93MV8F8qt/3o9RSAleLivZ1xXsic8VF7Evk1lyRMFKqUDZb3gNHuw4vmNHxVVrvFX1fYVnIKYfk4q4MDRdFbduHBkSTm1CfXhKiSBNIZtSTBsV7CEJHaLtD1XmusdSAltx7ksDs+5JUgJUucULuENVU6SknWmDBITYnpgVXAWn1SHJqZ03u5fxiWR9lzMpuucSzqMs0fO6h8hciO15nS2qNMGu4g0I9X/AcKmAAJKkeLlK86sgDxUg7j+2328Axfg4y7IXrbGIqDT2URYj/5SMlausZg24/m3uB7Zbs6NtPxQCiWkl4iQkelx4SKEBOlsfbxcRfoN6Y/UsEnC9jVraVz/LVfY6tL4BYD6b/DqRkEFOJ7KZh0ERPkmJbsAVDl+GTgD5TuUxITQkE2c8P/Hkxl0ITFfqBODuD7b5L6hok4bRGKoF3Lrv+EPjaj/xk8LHCeXsiNqJmdX6MK7mPcNjaKwFp7CtUI26yIgeEkvMlU4icjkEMQEgyBUih/ZhrTrYibvCrlxQnvdTtsADrIN4zptkI7KWUqSreEI6EJNiC6xze6jn3T135C/fCHXf2vLISfSTtdwbGs7U1HlDDYmKyzj/Px8oYp7eXmRp6en2dsXFhaySl5B7u7u5OPjY5vB1XBVuyYmxA1d5rJIi1mdOMkuAPlF5SJ75HiOaRvFahsqkgB8uAjI1jgE8MJGqMkN9pBfvCtZ5DNHYU6obyg/BZuSFZ6XxnXSUc82ROwig2XjUAYhffjhh7Rr1y6u9OxGoaGh9Mgjj9Dw4cMFAaGVlZXRhg0b6JNPPhHHlJaW0hNPPEHTp08X/2+KZrfEdIHzIW0+ncGqWzplFZTzm9tbhJAM4cT/CBiFuiEj2K2zhEQgKavFSVz/DaWWUPUlMtBLpC9B/TeQkmmaIA9+C/v6eRj8b4rZPaO0tES8KJQmjuFc6JDE8HUhV5YpKys1/O7l5U0+vroHoYjPLykpts6A7OwqiiYH5EQAdAP7n52dTW+88QalpaXRp59+Kkhp586dgqigoo8aNUqQ0vLly2nt2rX05ptvUocOHej06dP07rvvkp+fH911113iWFs3uyOmxIxiWsf5orfw9v/NnFKRQmNsz3Ca1C+CHxKoE0TFJbzATXaFEAgp3gh6T7Xy8nL2Rq6WpFxd3fh33UNQzheprOQLySbgglc3Apo/3ZHEXvI5FMCbCbAp9WsXIDy61Zk6sWjdGOerly/Rt1/+R5CRh4cnTZ8zn3r3GyiICR8cc+3KJVq2WHcMSGj+w3+k9h07667J+B8/coDWrvia++BCM+c9QD17x+m3zRv6aNrhhCoOlnryVq/Zhoxm0KBB1KNHD2rbtq04ffTo0YKErl69SiNHjqT09HTatm0bzZkzh3r37i2OufPOOykpKUkc17dvXwoPDze6Nchs37594nkqKCigrVu3ChVw4MCBNG/ePNq/f784F2tj9uzZNH78+Dq7bjfElM1v03XHGbSz6Zw9skDs/iCebUr/KIryq6TcTI5kP19GLVr4U1R0DINQKcBBAyEBtF+vX2PSKRMPSqvWbYRYimNAWngbx/+aJI6PjmkpdO/GLoI60beDA0BK+Vxg4TtOiYsslEiSN5NdLuI6MClVVRpJSsqb9OjBPfTBv16hQcNGUtcevSnxt1/p0w/+RZNnzKXxU2aJF8Dxw/tp+dJP6I4+/XkuYunypXP00duv0h/+9Dfq0Lk7xV/7hfbv3kYjRk9glKpo365tPLcBFNuhk1jgzpD7WqFftXzSGNt3UFAQzZw5U6y6oqIiQTZbtmwRUhKkJeB669Ytobp17drVaHVGRETQlStXKDEx8TZiwnMCMluxYgU9+eSTNGnSJLp27Rq99957tHTpUrr33ntpypQpgvzeeecdKi4uFv+vTS3UPDFlczrbI/xAfM52pIS0Yk7OpsseeReHOwzsFEz5Wan07pvv0tmzZwmqgZenN82YNZvGTZyiN9hxYcXcHFqz4nvasH41efObOS8vj2bPvZfm3Xs/qwq+lJ2dRRvWrqYtm9bzZLjQpCnTaeqMWeTvH+AUD0BN/AgHSvgnLdt/k3Zw/BviCWcOCBf4m8umCIJPvcmLff1Kmn73fbTg93+kkABiYiNa831HQVAlJUWUz9kHflyznDp16U4PPfokBQT5UFbGJPry43dpy4ZVtPAPrYREBY1BUe3w0CgfO+Bzq3YROCjaExSBRpqZRN8uX75Mr776KmVlZdGECROY9FuI76FJqNOsKAMBeYGAlJe96QB9+Tnq2bOnkLRat24tyO369esEmxaIKSQkRJDhL7/8IlRD3NNuiWkbR/3DjnToSrZ4M/dS6rTx2zqkhRelpKbS//7Pa+LN/emXyyg0LJT27t5Fn/z7PSYcPxo7fiIDVEw/fPs1HTywj95+/xNq36EdnWMS+9/XFzFYoTRxyjT69dpVSkj4lZZ8u5Kq+Eb/ev1l+pUB7Nm3n9O8nU0XGkgJu52rj94SHvOwI01iSQkbC4rbhfockAYWbWLCb5THL4JefQfS918vpV9+vkCeLH1Om30fTWBpqYTVtisXz1NWZgZNu/t+Qfx52UXiYbijTxwt/fQ9SklOpI5MWiPHTOIXyjdCnZwx9wEhLaE5g7SkYKvyFBAvA2sF8fbp04dWrlwpiOijjz6i559/nl5++WUDKZnakRQp1Rz2QjVn7QP2KH9/f9F1kBgICvOqkB6Iydvb2yIDuiYlpuOcI3otF0TcxU6S8ItBtD/i2YZ3DaIYTtwG+1FxaTmrBJ40deZsate+IwUzyfCYqVuPO4Skk5qaIsBJT7tFRw8fpNlz7qGWrVqJB6xL1+40c/Zc2rZlI/UfMIjadehIUVEx9LsF8wWoI0aNoTbt2js9KYGQUP8Nb+gxdzCJs+qMN7e5UBOFmJITf6MzJ4/R6uVLqCfUtDaxdIMlpXdff4Hm3v9fNGjoCKE2Y8F6enrpiEZPNuX8Vi7iLeoCfsvCbtV3wBAaMmKYOMaZjd+6gg6svjYyHxNeHHgmPDw8DO8UmDn69etH33//PSUnJxPUPRwDElE3EE9gYKD41NSU6ysvD+X/iklEsS9aYjzXFDHBL2YZ2zIOcOL/1OxSasm7a+N7hdB4VtvCAnS7N+r82v4BATRm3Bj2NCbKSEun/XvP0Z6d21kNcOPvJ4gJyGBjXgUbUlu11hn7KpjoABSY/UZCAqWkJFO//myku/cB6hs3QBzTsVNnasHkVqm3UdU4Ew74A3YzsSWNdDCwKxWwfQkvhTm84+nHHvO1xb9h4RWy8TMwiDM1DB9DYyfN4J0cV8rlbJZLWBJasewLah3bnndM2RnKQEnGIAoJQa+3gMCKi53I0F3TelIZmRoT6QO7D9S3u+++m2bMmGG426FDh6hNmzbUsmVLId204hc4duYGDBgg7LNQ43bs2EHDhg0TUlBTNE0QE9LZbj+XQSs4lw88iZE9ct5QrtPGvkidOEc0QiDMbUmDYAq5HBBaYmICffv1EtZpc6lvvwH8fYEQ+bHDY46hyyvK9b/r9GZ/fhMMGjxIXKuUPcgr+Hdna3gzI9RkFzurorIwNhz6dwzgIp5MSt6WZQrw5YXdhsmnW8++YqMhO0u38wkj+I4t6ymTJVgvLx8D9gaMcW9+kbjzxgRshbJVI6BW57CeG0rVsbGxNHHiRPr222/p1KlTQjqCATwnJ4cef/xxiomJETd96KGH6LnnnhO+S926dRP2KDxrv//97806WooXEku6itMmrqF8p96owDVwDMivLnW8WYkJddp+OJxK27mS7XVOWI9t6PG9Q2hi71Dqzv4x2BGC2lYTR2DQYHQQS89efWjJsqUsghJ9/vGH9PqrL9LzL74q7CFoNenMyvRXsK5dziWYnLWBlAAVUsN8zaSUy86qvTn+7d4hXP+N56WuTAFYdCCWDp27CgJKuZlI0S3ZiM1EAwN2ZsYt8vbxZUk0kF8CAbzA/ejS+VN0R69+/L2PUOFgHO/UpRtFxbQS8WHOEn5R15pTUuvq/Jj0+ZjqOsnM7/Dwnj9/PnXu3Fls6YOQsPX/17/+1WinDW4CX3/9NS1evFgc0759e1q4cOFtu3HKLXDdWbNmCfUPvk5o+E6RyhTPcmgpCxYsEOSmVifNDaVZiAnloUFGyI104nqeSGc7gnd6xvQIEQZuRKcjhKS0jhCSEt52zCzgZPehYYLRc3Mr2bDmSl26dacVy78VBtZAfivgFZOfl0suPMPwidHtOrjweSH81ggWpOVsrgEgdGAl3m54C7O6eyo+l/6zPZES2bu7Gwc7LxgZQ5Fc/63cwqBcvALad+hMg+8cRetXLOMXSjmFhkfQuVPH2V/pI5o6+162ObUVL5OR4ybSZx/+i/zYBeAO9k+6cO6UcAlY+LunKDA4xOnmozaeqdbkmKytsCXXv39/wqe2BufLZ5991iL6g/3J9HqY47g49jtTNRi+4WFuSbM6MZXydnBOVoa4d2BwKO/IVMfYwD50NiFPhDRc5CBbhJT0jm0h6rQN6xLINgz4G9UdQqJsG9+48Ru99vILNH7iZHr40UfJn216qTkltGfXDnbU68jG7tbsfewnDNnffLWYd4riKDYqkOJTcumnLZto6LARFMNvdWdqXl6eYpMg/VYu234yhN0uICiU0sr86asDGXSDCzHAc/4eztUN51VsPlgqR4Lcvbx9aM78R+jE0QNsV3qfyQmqtgs98Zd/CL8mZYt47MTpQnr6dsnHtHndCvHSgOtAnwFDxX54XaK+s8wZHnA/xsndh4PQq0rJ2y9IFMZw9GY1YrqREE8/cnzN6QtXuMqILqygTagn9evZmcZPmkY3KyJoy8lU4SAJ9ax7S45pY5VtQIdAEXMFQrK0ThsWLcipPW8fP7jwUfrhu6/p5IljvGMQRKkpN8Xff3j8zxQRGcXHudL8BxbSG4teoqcee5hi23WghPh4imED3/RZc8iLxcqafDMcafKBF8TneDaAbtu8ni78fJWSeIMBKlNYC3e6VRlK2cEDWWzvSPcPDRf13/DiqO8LGuQE8hly52hhAMcFMAdosDkpkim+Gz56vPgo84m/cYwkJaTTdRVb6+m3eDPox3WUuusElRQV0J7kKFpRNoxGjRzOqlWEIy1Ro7FYhZj279lNf/vHy3QoLZS8Wg0gV78w8Zas/CWNvtizl+5Yuop8+zxIVZF9OEGbDw3jeLaxdwSLOm0IITG8leFIZiHUVbBp8O7bpCmTKTa2HR05fIBtRGXsCtCNJk2dwXFAwbyjg0Vewd91pXc//JSJc42wZXTv0ZMmTp4m1Dw8CI7esMhBTPt2beddmUV0IiucvFr3F/PEtEGViWlUfOMoBVf8RFP/++/UvVV7HTmw7a4hYVFV7FeGTA7qcxWyEd8J/4BKtj2VCNUaTSeVNdx+4khziPCoSjasfrfkI1q7ehWdu3KDKjz8BVJ7f95Bx7Z8QwP6dKOn//tpmjVzliMN3TCWRhNTGvsLPfPcS3SivB8FDZ1G7t7sQcpkIJpLT6poM4DOnF1P/ls/oaf/+RHNGtWBU2S4i/LRioSkpGjVnWNKTnrjtdJlE+aqYjtGH56kQX27GQaFjTo4jnl76A+uKqfw0AD646MLDMcU86YbYuI82ZtZ3cQZJveoiSwtVXFqWzniGo24kCWngsBvJCTSiy+/Queq4sQ8uZnMk1/bAVT080Za/9W7NG5Yb4qObqkwiIE8TMdhhEudmOkmtrYXjyJZqZPt13h8LddSn2MJPvV9shs7Z7VNOaTNMvZ/+ezTD+nfH39OhW2mUMBdT5CHD7vQM3pVZeznFX+Y9h74mK5c/ZOQRmdw1L8lvkH1HWdzHt8oYoJxc+OmzZRUHEBBvSeSG4eDEANX3UrEd8E9JxEdv0I3Lu6jg1HhdMgVO2k624VhK1QsNOPFq/ZpURa1mjiEq77CZriW8n/lWgrHGH2v50xBQPr3tWqRG/qgX93G/asemU4aqE55qjxxhodC1Tf1g6JIEcYEWN0PNS+qJQ7leOMH1cx5Jg+sKy/0St4V27VpHSXzPAX2m2R2nlw9OJK/8wSKP/Yzvbt4JfUYNpNc3Nhox5KNel5Mx2cYjwGv6hkx9L82nPXzpn7v3I4RHAyrSU2Hhe47Y7xUq8HkN8P1VQAajjbB7La5VL+rzKw5dR/UHTJ3feX2xvOvfw6YZOCDl/rbz/TxZ4upqt8TFBY7WIwTGgKaqydvDvWYSl5BrShl5yJ6ddEiGjtmjMHjGsdAXT5//jwdPXrUaAsfv2H7Hy4DWm+NIiaIm7/xm7jMl/0fYEcwF5HP37mxKlHoFUU/HviZzlQmkIsn+7E0wnnRkreg0TGWnFDTTJmee9vDoCIrE2LVPz9GVzYiNNOHxOja1Q+eYeGbPECmD6bufqqHE/9HoHJpIV3fc44KPKPIBzuSNcwTVD7M05o9l+in7N7kwmSlIyZu5jA0ZskmWevVt4QntHEz+saEKOtLTEYvEx0PGppCjMq8iBesGSJU5vq2+auJ3PgZqqoopawzq6nEvzP5t+wp8K9S+cuwFY7ZyZ08I7uTa1Rv9jE6LJyIlVAQ3AsOkfDk3rx5syAhZQsfhPXjjz/SwYMH6Y9//CNLxdFNMmcNuUmjiMnN3YN6dO9C7qv2sp2ojFxYPaiC0UjVXNzYc7S4lHwK4umx+x6gASM6M64eQmLCahfmBv3CV+wQMG8oi078rj8IRxu+1/9DuLmrr2G4lq4T4hzlWHEt3cWNr6+3cKhNHPp/6w6vPkfXV30/8LVynHI35Rqq33SnVPdTNx7je+q+qv5Ofxuj8arHouuSbmzG41eNV//EVFb4UHheD9rKNrbK8lJy9/QzO0/lnC7GJfsajR47g6LviBIPAOIQFbzEvZQ+mvTX0Af90HSHGeNmbn7FKNRYqefKcAkT/FVzYDDOG81D9ZpS90F/OaP1aWpoV68Vw4GmfVJ+MHxvfpNAh4nJYlPWqurv6g658vyUUxGV8Ms+iL+GqKSsVFW39Q+EK8+jh6cHx4XyC8To5yrOc8WbS5xe5LXXXjP6DWlNXnnlFfrggw+EO0BwcLDR71r5j1liwmTF887VxYsXjURBvI078ja84p8ANWESRwl//uXXtO34MgqMm0+eAZF6GxNeC25UkpNCOSeW0YR2fvS3399Nvuy34mzNsLTMrDFTLIwPMbcojc+w4JLihLzJkTTv0jb66Zhunjx4nlz0klMVG1tLc1LFPI3vHEDL33hEl1mhtonSE4+l9zd5lnX/teBkCw4xe61qsla9RPREYeBMhVjUxKOMy4hP9MSofKd+GeKa+psZk7P+RVTdEZOXsPHwlZ1J7BAf2Z9NT/31RSotzCXvoBiWmPBy0HcSKiy/2Etz0qn85imaMnU870KbJxekF8nMzBSR/UoLCwsTGSufeeYZITlNnjxZk/Yps8SElAXw+kRypyFDhhjc0AHaunXraNy4cTR37lwhPrYICKQP3n6TXnjxJdpw5H0qj+hJrgGcD4mRqMhNoqrUc3RPv2B65eU3nZKUsCAMWoAFqo/xIWZOsOAa5vgkKDiI/v3Om/QPMU/v8Tz1IvLjlwh6V3CTqm7xPPUNEvMUHBRo4bujgZ2x8OrOeljHuyfS3p820hc/fUjl/RaST2Qn4ZUvdrqZn0pSrlD+4U9pUNdIeu3VV4RbQX1aZGQktWvXTmSyVHJ61+f8pji2RokJg0Uyp9dff92oH0jFiZSbyGSHD1pn3qL/4ovP6fCBvbThxy108ORG4YcxYdQgGjXiaRo4ZDh7+OryvcjWfAh00s/TkUP76Njx03Q9OVV0pn1MCA3s/2f9POnSVsjWfAi48qbD//7rf6jVO2/T4nVfUvZ1jmzwayXUwsqceGpRepMWzOjF7gL/h1q3ja13RxEiAhXOXN6lel/MRifU28YEsRCxM6aVFfw4c+TYCVMoOCySRcvVwpnv8SeeEuEismkHAczTmLsmi08pO+yheXLcmmzaQiAwKIRe/Oer9F+PXKP16zfQhs0/iQ5Ou/cumjp1CrVs3U4k02tIQ8DtjRs3RLoTrboZmB2ZEhF8+PBhYSiDIQ0NKh70UqhxyBts2kSGO5Y1Pbx8BXHBOC6bdhGQhKTduVF61qptB5oybSbl5uteIsis2objDS1pogagiAs1bmfOnBGEBGJqqqonlvRXfUytlAv9E2Sk7jwkoc8//1wYwM2Rk5KCUzHm1bdD8niJgETAGIEyFM6o0tnz4HxpSYODcUkJ7+7pU+LiHAgOe/fuZbPLF3TPPfeIjJNabTXamMCoSAwFiUndUlJS6E9/+hNt3LiROnXqZKTS6WKddHmO0LTKxlqdDNkviYA5BJTMj/jNkjhCPHcBnERx/fr19OCDDxo9h0j09vTTT4vKJ3ZrY8J2I5KVq30dkFoTFn2wrzmQqoM0uYxPExXHk8vZMgQOHDhAv/76qzgYqvYY9hjG9rFsjoUAtBpUK3n44YeF1FQdp+ginC2VHNxaHnWNqhwIBlKT6VYk9FPkBsaOnblkT5CYpLSkrSlHBZmvvvpKdEqZH9T/Qi0wlNqB+0dNZaK1NRLZG0sRwLOJDJX22swSk1Iccvv27aI+lLJowbzYlYN4OHTo0NtEQfyuruWmVYu/vU5WQ/qNtKj//Oc/RZ2wv//970ahC8hS+NZbb4l5hJewlkX7hoxdnmO/CJglJhAR8v3CQIZ0mWqVDaJ/VBSHK9TQFFVOLvLmXxRQxdesWSOSy6M8j7K7qvQM8wvCgvuHfIk0/3zJHlQjUKMqB+MZPvVtiqogynHL1qwIwD4IiXfUqFFmvYPxAkIlDNkkAlpDwKrsoVblYPiWb+HmnW5IuxkZGTVuVDRv7+TdJQI1I2BVYsJtpPFbO8sNuy9IbaFsZJjrGcgLH+y2yl1U7cyds/fE6sSk2JjkIm/+pYVdGTjBoljh1KlTOd1wqFGnEJqg2J5MDePN33vZA2dGwKrEZLor58zAamHssCGh6urp06eFXwty88AHDQ2G8XfffVektnnxxRftwrdFC5jKPjQNAlYlJlNVTtqYmmYSa7sLUlygLDSqr77wwguiYioaQhVg+H7vvffEzpxsEgEtIWB1YpLuAlqaXl1fIiIiRBgCIsrz8vLEd1C1ESsld0+1N1+yR0RWJSYlVg7AygWvveWFOCnZJAL2gIBViQkDVjy/pbuAPUy/7KNEQJsI2JSYtDlk2SuJgERA6whYlZjUqpx0F9D61Mv+SQS0i4BViUmtysHGJHfltDvxsmcSAS0jYDNikhKTlqdd9k0ioG0ErEpMioMlJCVJTNqeeNk7iYCWEbAqMcGHSR2SIlU5LU+97JtEQLsIWJWYFFcBDFdKTNqddNkziYDWEbA6MSnVUSQxaX3qZf8kAtpFwOrEpAxVOlhqd9JlzyQCWkfA6sSkSEwyJEXrUy/7JxHQLgJWJya1xGTJsJEsf/PmzXTfffcRIuFrakhAt3z5cvrhhx8M9ivkFZ8wYQI98MADt+WztuTe8hiJgERAmwjYjJhAGrXtymH3btWqVfT222+L3OKzZ8+uFSHkr0YVURTqmz59uoGckHnRtMSUNqGWvZIISAQsRcAmxARCqk2Vu3r1Kr3++ut07tw5UZsORfjqci3Izs4W1Vrmzp1rSHZW1yDT0tIINdXatm0raqglJiaK8kVz5swRNbdWrFghvkP6j5kzZ0qpqy5A5e8SgSZCwKrEpC4PXlv5JpAWJB8kLjty5AitXr3a4P9kbtyQrk6dOkW7d++m9PR0QSAgstGjRws1zsvLyyxc8fHx9Nxzz4n0soMGDRJZGlE2+ZtvvhHnosQ5SHHdunV06dIlkbPINP1sE82DvI1EQCKgQsCqxKQuD16bxBQbG0sLFy4U3di5c2etpIRj4B+VmpoqJCWofDgflWQ3btwoSl6DUMyVugY5Ir1sr1696LHHHhP36969u7BnPf744/TII4+I72DjWrRoEc2aNUsSk3w8JAIaQMCqxAQCqY8fk1JRpS4coO6BSJ566imjQ1EB5C9/+QsdPHiQpk2bdps6iL5Amurdu7fhPGRzhMG8f//+hu9wfRCYQqx19Uf+LhGQCNgWAasRkzrliS1i5cw5bIJkgoODhTQFUqxJSlN7pCuljNSkqHxXl53LtlMhry4RkAgoCFiNmBSVSyknbk3Pb+SpXrp0qZCIULpcab/99puQ0KCe1ed+6pLncilIBCQC2kPAqsSkVoUsJQqUEcrNzTWk5AVEuE5ycjLl5OQIAzWM3R07dqSXXnqJMjMzqU+fPqLC7Pbt24Vahmof5qQdSEW4RmlpqQF5fIf7qSUm/I7jLFUttTeNskcSAcdCwGrE1BBVDsbpfv36CT8kbN8rDdfCNj6qesDQDfvPxIkTxbb+Bx98IIzeUNvuv/9+mjRpUo0z0rJlS3r44YcFqSktJiaG5s2bR/hbafgdx6m/c6xplqORCNgXAlYjpoaociCmgQMHio+6QdoaPHiw+KgbpKf333/fYoRRFUSt+uFEfLdgwQKja6CumqytZjGs8kCJgM0RsDoxoce2MH7bHAl5A4mAREAzCFiNmJTslfVxF9AMCrIjEgGJgKYQsBoxYVSK8biuODlNISA7IxGQCGgOAasSk7rYpeZGKjskEZAI2A0CViMmqHAy37fdzLvsqERA0whYjZjUqpxMEqfpOZedkwhoHgGrEpOiytWWWUDziMgOSgQkAs2OgNWISdmVw4hkFd5mn1fZAYmAXSNgNWKSqpxdrwPZeYmAphCwGjGpjd9SldPUHMvOSATsDgGrERNGrnYXkClE7G4tyA5LBDSDgFWJSXGwlLtymplf2RGJgF0iYFVikg6WdrkGZKclAppDwGrEpE57Iqvwam6eZYckAnaFgNWICaNWe37bFQqysxIBiYCmELAqMUkbk6bmVnZGImC3CFiNmNQOllKVs9v1IDsuEdAEAlYjJoxGGr81MaeyExIBu0fAasSkSEwye6Xdrwk5AIlAsyNgdWLCiKQq1+zzKjsgEbBrBKxGTOqikpaWbrJr5GTnJQISAZshYHVikqqczeZKXlgi4DQIWI2YICV5cK03NB8fH5KBvE6zhuRAJQJWR8BqxHTh3Gm6eOGs2Jnr1rkj9e7d2+qdlReUCEgEnAOBxhFTVSWtX7uaFi9bTfHpxZRc4ClQO3b9K1r87Sp69IE5NG3mbP7GxTnQlKOUCEgErIJAo4jpnXfepVf//R3ltJxKvm36kYeXryChxNJCuvzbcdr/zOv0j/gEevrp/7ZKZ+VFJALOiICHhwfhg6b87eg4NJiYzp09Q+9/vpyKe/yOglv2JBeWnggfbm4eweTZYwIVBkbTe59+TmNGjaKerNq5uLg6Op5yfBIBqyOQnJhA8deviOvi323btrX6PbR2wduICfFuq1atopUrV5rtq7e3Ny146EE6efoslQZ1I5/wDjpSqiyvPp7/7+LqTj6RHSk/uT299sabNG7sGPL09BKBvuqCmMq/sZuHfysf9f9t9W9z9zR3L9PvLDnGXNHPmpLn1fd7rS0i2R/bILBvz076+tsVdO56KiVkVYibnL76Nt3R4Tt66P55dOeIUba5sQauapaYzp07J4zYf/7znykoKMiom3jgIsLD6MjxE1Tpoj+da8rd1vg7F/5TQW6UkZFBSUlJLIZ6iuvCSxwfNPW/Ta+hHGMOp8b8BiJQyMD037iXNX7HdRRyMiVcxQFV/b2akM39rrhhmCNT0+NtReTqPio4mcOrtu/qe7x6nkzvaXotDTxPVuvC0i8X0/NvfERJASOoRew95B7jj5VJ54py6dDJI7Rpz7O06LnHacGCh612Ty1dyKwqh+3+Dh060KBBgwgSkrk2esRw+s/SdVSYl0ZeYe04UI6JRiEofvBZn6OSzBvUIu8KPf3SC9SrTx8BLCQm5aPkCVfIyfQ35Xd8rz7W9Hzld0uON72n+t7Kv2v6W30f9TE1fa++tpqQzV1fSRmjzp1eV39Mf1c/uMqcmUpj5qSzuo4x93ttkq0tiVF5aZjevyHfm744FPzUUrxy3dr+rkkDMHeO4kajYKQ+RvdbFV2/epVeees/lNH2fgqNHcQvOH6e9GYSD98g8gpuTenxrWjR25/QsKFDqWOnLlriFKv0pUYbU2lpKeXn57P6pdtpUy90gDlkyBCaP30Evf/DB1TSfT75xPRgScNNHFbFRFKUcJyqLi6jx+8bR1OmTbdKZ5vqIpaQjimR1EQ2ln7fUNIzR+6mBF3TC8CU7E1JWv0CqOnFYMnLANeBiaA+LyA1HubmvSaJuTHf10QkdZGTJURm7hjT75CSury8lHbv2U9ZHm3Ir1VvcnXhF35FmREErmwm8WvZi/JzjtGmzdvo8XbtuWSazjjuKO02YgJYWBSbN2+my5cv37YL0KVLF3ryyScpNjaWXnn5nxTb+hNavGITZV7aTwXuYQIXv/J06uieS488O48eefQPdoeVWpVzlvAatUpt+m/xsqlB/bb192ppuT7/Rr/UUqo5Kbu26ym/KdcwleYb+71CoOq/8eyVlhTTrVtpVOkWRW7wsqnBTII5qXTzo9y8PCEIqBsECphPiouLDckb8TvWdYsWLSgqKkrUftRyu613inF6FO+kPfPMM7fZmLBdGRgYKMbk5e1Djz/1NC1YuJBOnjhB8QmJQJJi27SmuLg48vUP0vLYZd9UCKjJWAJTjYCpBGZOImvIMeaIEnetYMmyD5s9fv+3N6i4KIc8A2OIykE8ih1XZyYpz71F3lmXaNiQ+8hd70qA86HpfPjhh7Rs2TKxe2fqXtC/f3967LHHKDQ0VNPTXCNtgllbtmxJ/v4wutXe/JiAho8aS8PrOlD+LhGwMwTqsr/ZYjhTp06l6Zu20BdbPyDvvgvJO7KTwUUZW0pFN3+mklNL6d6JvWj48BFGbjggPJDT2LFjadGiReTn52eLLtr8mjUSE1QYU/uSzXsjbyARkAiQq5s7/ev116hV1Nu0dOPXVJASQyVekTotpSSFgkuTWUsZSn96+i9G0pICnWJ+AEE5FDEVFhbS+fPnadOmTQa1Tb1eIElh107reqpc4xIBe0UgMDiEXvjnq/S7R+Pp2PHjdD0hSQylfZuBNIDVsejWsbUODbvpwcHB9jp8uk1igk4KN4GUlBRas2bNbQODgW706NHUunVrSUx2O+2y4/aCAAhoeh0kpB4LVE/YvA4fPkwvv/yyyPShtOjoaJowYQKFh4drfvi3ERPEwOnTp4uPbBIBiYB9IqC4aKgTOCo7jfYwIm3vGdoDgrKPEgENIQBpCVLTUHa8hMRkr00Sk73OnOy3RKAWBODDlJmZSSEhIXaJkyQmu5w22WmJQM0IlJSUCOfKmrzg7QE7SUz2MEuyjxIBCxGAi8+CBQuEL1NAQICFZ2nvMElM2psT2SOJQIMRwK45XHnsvf1/XpFbEPoMhsIAAAAASUVORK5CYII=)
Given, AF = 30m, DF = BE = 1.5m,
AD = 28.5 m
In triangle ABD
∠ABD = 30°
We know,
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
⇒ BD = 28.5 √3
Now, in triangle ACD,
∠ABD = 60°
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
Multiplying and dividing the fraction by √3, we get
![](data:image/png;base64,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)
⇒ CD = 9.5√3
∴ distance he walked towards the building = BD – CD
= 28.5√3 –9.5√3
= 19√3 m
Question 12.From the top of a lighthouse of height 200 feet, the lighthouse keeper observes a Yacht and a Barge along the same line of sight . The angles of depression for the Yacht and the Barge are 45° and 30° respectively. For safety purposes the two sea vessels should be atleast 300 feet apart. If they are less than 300 feet, the keeper has to sound the alarm. Does the keeper have to sound the alarm?
Answer:![](data:image/jpeg;base64,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)
Given, AB = 200 ft. and CD = ?
In triangle ABC,
∠ACB = ∠ OAC (alternate angles are equal)
= 45°
We know,
![](data:image/png;base64,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)
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAIQAAAAqCAMAAABFjAMLAAAAAXNSR0IArs4c6QAAAJBQTFRFAAAAAAAAAAA6AABmADo6ADpmADqQAGa2OgAAOjoAOjpmOjqQOmaQOma2OpC2OpDbZgAAZgA6ZgBmZjoAZjo6ZmZmZpCQZpC2ZrbbZrb/kDoAkDo6kGYAkNv/tmYAtmY6tpA6ttvbttv/tv/btv//25A625Bm27Zm27aQ2////7Zm/9uQ/9u2/9vb//+2///bZ5kPSAAAAAF0Uk5TAEDm2GYAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAAZdEVYdFNvZnR3YXJlAE1pY3Jvc29mdCBPZmZpY2V/7TVxAAACSElEQVRYR+1Y21bCMBBMECGCSsUbFKnXijS1+f+/c3aTlhaqcMQmL85DKeeU7mR3dpJFiH+EyoCJB2vENrEk9C7oi3dksrekoEU0BJUniat/JHdqQlFNTOGLiPPiGcX0tayHJREiE+lQpCdvZSY+H07p3jNMPBdazStlDl48E6Bwerx2amBNmMSq1C9SbkyqRzhhFle08EyiHpaEiVkgXpFxQ1qLCNWiNjBIYPmWSSLZNDyiiKREKujj5NXadn/mMb6HUO+d9xlreRcpd7hWvBfiNlPytDvnaSehlSPhGBbTpVh53oyK6LZJQl9A9dNje16PtpKZL/jMkUmUgy7vSiKQQzLJWjIBTz4S9q0V6ARkHpBg3m+0Gi1FWqkjG6+3SBylCWraEg0WRQQbof3GkWAmzlnIfUsSIwiypTmS9rfuT1Taq/fBoxw90282JJgXYGJ8gkQ6F2YxE3l86Fa4WW/9rkmsSUKsziQdOXZJQCEWjnOVof3rbH/i23LQ4x8K/r5Lgt9Uk1DbGe2X5dgSJslBJBthYtVlOWokEirQ0Zmo8rPdolqh2tfIBJsVXxrBrGPSySjv7kyQL+DI59QcqD1fqHLVxgtdEIv8BtI4786uf6uyH37XHLs+rrEQLNM36mNXKi/X5unQ7v5DprUznabOg890fgrYoV+SQHwr7BBgEjx2hThmuxVbZdLYFWYSdrtOOXaFJsFZCFqOauwKMoVuymH1kLH7hmjR2thl4t4Mfxf5b1Rn23bsMo/YkPr3/m07hDcdGPMLgEc5GUruAO0AAAAASUVORK5CYII=)
![](data:image/png;base64,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)
⇒ BC = 200 √2
And, in triangle ABD,
∠ADB = ∠OAD (alternate angles are equal)
= 30°
![](data:image/png;base64,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)
![](data:image/png;base64,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)
⇒ BD = 200 x 2
⇒ BD = 400
Now, CD = BD – BC
⇒ CD = 400 – 200 √2
= 200(2 – √2)
= 200 (2 – 1.414)
= 200(0.586)
= 117.2 m
∴distance between Yacht and a Barge = 117.2<300 m.
⇒ the keeper has to sound the alarm.
Question 13.A boy standing on the ground, spots a balloon moving with the wind in a horizontal line at a constant height. The angle of elevation of the balloon from the boy at an instant is 60°. After 2 minutes, from the same point of observation, the angle of elevation reduces to 30°. If the speed of wind is 29√3 m/min. then, find the height of the balloon from the ground level.
Answer:![](data:image/png;base64,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)
Here, Distance covered by the balloon = BC
We know,
Distance = Time x Speed
⇒ BC = Time x Speed
= 2 x 29√3
= 58√3 m
Let AB = x
⇒ AC = x + 58√3
In triangle DAC,
∠DAC = 30°
We know,
![](data:image/png;base64,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)
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAIYAAAAqCAMAAABBedM2AAAAAXNSR0IArs4c6QAAAJxQTFRFAAAA///b//+22///2/+2tv//tv/b/9u2/9uQttv/ttvbkNv//7Zm27aQ27ZmkLbbkLyQZrb/Zrbb25Bm25A6tpA6ZpC2ZpCQOpDbtmZmOpC2tmY6tmYAkGY6Oma2ZmY6OmaQkDo6AGa2kDoAZjo6OjqQZjoAOjpmOjoAADqQADpmZgBmADo6ZgA6ZgAAOgA6OgAAAABmAAA6AAAAX3XfoAAAAAF0Uk5TAEDm2GYAAAH8SURBVHja7Vd/U4JAED0gAwOtKypKNIPU0KKT/f7frdld8NcgNsm01bh/nNwMsu923769VepkgmalAADF7IK3vSlAMXZ+HoedJ0q5KUS4CeHRsW4LXyIcCa3o2zP0/CwGgxGEEnHYgmHnmWOly44wDCvNHIRygvGLkuKZSKlYnKKEICD1ECnYUr4KzepxrUTkqxTzcZd3AwPwdidG1H/WKPuvAHPKqTUEmGCMAwPzbuuevI8G5sTFJfLMZx1yUQDsha/67etR0ETgOKE2rcvXAtDKGyllL47VI2+2HdABMnrZoeiP0BHoG4NPG1hQBGnBKqRoTJy2Tx9wyBPHivluMPP5/KW5Q6w6zAlL81HcsHNY2TaONSzP6NUSbfwPL28Mg9edvO357kELC30Ahp1H6xd6ZtlpgFFvUGsHYVi9FwNQC4NaQpWU5FiJb0wKcmNfNMouyRSNVEtJqaVowOzchWGlkeIyLasWdFtqtVOwdNaHKxMp98lUniqK0sXaXRXJ16nxDRtAoVE+Rmc5aA8ZghmMymo1ACPy7U65Zv7g5FYFT2xo4woraSg3tFEN3TPFBIc21IjFOWdFcGhD74kKUWwk5wP0risRygQLzJs4PCXIwgiBbzKySbHf/aoPCA5tKqBMUEsWHNpWkzRlRWpow66UOfSDOE5DW519Ai29TtqWFA5rAAAAAElFTkSuQmCC)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
Now, in triangle EAB,
∠EAB = 60°
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
⇒ EB = √3x
∵ EB = DC
![](data:image/png;base64,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)
⇒ x + 58√3 = 3x
⇒ 2x = 58√3
![](data:image/png;base64,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)
⇒ x = 29√3 m
And, Height of the balloon from ground level EB = √3 x
= 29 √3 (√3)
= 87 m
Hence height of the balloon from ground level is 87 m.
Question 14.A straight highway leads to the foot of a tower. A man standing on the top of the tower spots a van at an angle of depression of 30°. The van is approaching the tower with a uniform speed. After 6 minutes, the angle of depression of the van is found to be 60°. How many more minutes will it take for the van to reach the tower?
Answer:![](data:image/png;base64,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)
Given, time taken by van to reach D from C = 6 minutes.
And let the speed = x
We know,
Distance = speed × time
⇒ Distance between D and C = DC = 6x
In triangle ACB,
∠ACB = ∠ OAC (alternate angles are equal)
= 30°
Also,
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
……… (1)
Now, in triangle ABD,
∠ABD = ∠ OAD (alternate angles are equal)
= 60°
We know,
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
AB = BD√3 ……… (2)
Now, equating (1) & (2), we get–
![](data:image/png;base64,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)
⇒ BD + 6x = BD × 3
⇒ 2BD = 6x
![](data:image/png;base64,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)
⇒ BD = 3x (where, x is speed)
Now, comparing it with Distance = speed × time, we have–
Time = 3 minutes.
Hence, it take 3 minutes more for the van to reach the tower.
Question 15.The angles of elevation of an artificial earth satellite is measured from two earth stations, situated on the same side of the satellite, are found to be 30° and 60°. The two earth stations and the satellite are in the same vertical plane. If the distance between the earth stations is 4000 km, find the distance between the satellite and earth. (√3 = 1.732)
Answer:![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAVQAAADuCAYAAABmtP8SAAAAAXNSR0IArs4c6QAAAAlwSFlzAAAOxAAADsQBlSsOGwAAABl0RVh0U29mdHdhcmUATWljcm9zb2Z0IE9mZmljZX/tNXEAAFzsSURBVHhe7X0HgFXltfWe3pneGBh6b9KLCAioIIooImBPDGryTKK+JEZf8uclL3lpLzHdaOwaG1hRQHpTeq/SpExlhjIwvTD/Wt+5Z+YOzMAwc++dOzP7S0Zg7rmnrPOddfa399p7+1diiA5FQBFQBBSBRiPg3+g96A4UAUVAEVAEDAJKqDoRFAFFQBFwEQJKqC4CUnejCCgCioASqs4BRUARUARchIASqouA1N0oAoqAIuAWQi0pKZF33nlH1q9fL0888YR0795dkVYEFAFFoMUj4BZCPXHihMyfP1+OHj0q7777rjz55JMSFhbW4sHUC1QEFIHWjYDLCbW0tFQWLVokycnJMnnyZJk3b57cfvvt0rdv39aNtF69IqAItHgEXE6oWVlZsmrVKrnllltk1KhRhlx37NghvXv3Fl9f3xYPqF6gIqAItF4EXE6oe/bskbNnz8rgwYOlY8eOMmTIEFm8eLFMnDhREhMTWy/SeuWKgCLQ4hFwKaGSSGmd3nzzzVVL/ClTpsjcuXNl3bp1Mm3atBYPqF6gIqAItF4EXEqo27Ztk/fee88Q6nPPPScsE1BQUCAhISGyZs0aufHGGyU0NLT1oq1XrggoAi0aAZcRKoNRW7Zskfj4eMnPzzcWKQf9pjExMbJ9+3Zh9L9Hjx4tGlC9OEVAEWi9CLiMUDMzMw2JUiI1c+bMGojm5ubKo48+KkuWLJFOnTpJYGBg60Vcr1wRUARaLAIuIdTy8nJZunSpsUz79+9/CVgREREyYsQIWbBggUyaNEm6du3aYgHVC1MEFIHWi4BLCDUnJ8cQ6oABA6RDhw6XoBkUFCRDhw6VDz74QLZu3SqdO3dWCVXrnXN65YpAi0XAJYRKH+kvf/lLiYyMrDPoRAv1jTfeMNv4+Pi0WED1whQBRaD1IuASQqUF2qVLl8uiWJ9tWu9t0CtXBBSBloCASwi1JQCh16AIKAKKQGMRUEJtLIL6fUVAEVAEHAgooepUUAQUAUXARQi4nFBzTmZLZvoJc3ptU9pLXILm77voXuluFAFFwMsRcBmhHjl8SN59+9+yY+9hSTtnXXW7SB8Z0LuLzJx9D6RSlw9aeTlOenqKgCKgCFwRAZcQ6ratm+XJH/xIVqdFSFDqcPEJSzAH3pJ1UuZuXC9Llq+WP/z+tzJw0OArnpBuoAgoAopAc0Wg0YRaWJAvP/7Jz2VldrJEjrhHAiOwxK8st/Dw8ZPStgNkxda35Omf/lw+nPu2hIRq5f7mOln0vBUBReDyCDSKUCsrL8jq1atl74nzEjXwWxIQHiNSll/jiIERsRI5cIbs3fms2fammyaBaFXYrxNTEVAEWh4CjSLU8rIy2bZjl5S16SK+ASjLV+GwTJ1xwu/88FlpRFfZvnOXTJgwQfwDtDhKy5tKekWKgCLQKEJlCqmfn5/4VFZcwer0EV+pkODAAE071TmnCCgCLRaBRhGqn3+AjBg2WPxf/UCKivLELzhCpPwCwKp0AOYDN2qAVBRnic/pA9K1133C7+hQBBQBRaAlItAoQqWFOnLEKBnZryOi+S9Lm2EPSVBsR1isjqW/r7+Unz4mBVtfRRvpaNlyrp10zSySHskhLRFLvSZFQBFo5Qg0ilCJXQAKo/z6l/8t8uOn5aMNf5OytoMkMKqdgbX8bJoUp22RyBAfiRn+HVm0K1+O5H4ttwyKlQl9YyU6rNGHb+W3Ty9fEVAEvAkBlzBal67d5e//+IfcumC+LF27TT7etEbK4VbtmBAq0dddL6VJI8Qf2tS4CF/Zn14g6aeLZNvR8zJzZJL0Tw33Jjz0XBQBRUARaDACLiFUHj0eKab3PfgtGTE+V9b9fJnkFVXI0JHdZdyQHjLvi+NyJr9I/H0CZdI1sbJ8z2lZvOOUnMgtljuGJciEfrESEezX4IvQLyoCioAi4A0IuIxQ7YtJSoqT4IRuaIdSLr7BkdIbSVNjekTIx5uLJOd8qQT4+cjjkzvIa6sy5KuMQvnnknTZcTxf7hiaIP3UWvWGOaHnoAgoAg1EwOWEegH9pXwvlCJZqgyR/xIJ9PeBBRotJ8+VyJdf5cna/WdBnBHyPzO7yLvrsuXLA2dl4bZc2ZuWLzNGJMmtg+IkKMC3gZejX1MEFAFFoOkQcDmh8lJ8fZEJVVkpZRUXoKKqlDYhfnLzNXFy8myp7E3Pl5dXpMv/zuoq372pvfGhvrc+W45kF8sLS9NgtRbI7cMSpVfbENWsNt280CMrAopAAxBwC6H6Y1lPJWppOf6L/1+ANDUhKgj+0zjJPlcqGWdK5Pfzj8l/3d5RJg2INUv9F5aly85j5+XTrbmyD4GraUPi5UZ81ibELafYAKj0K4qAIqAIXB4Bl7MV0/T9YaEyW58WKokVxqr5N4nztsHx0Kxmy8HsQnnry2x5dGKKpEQHydO3dZRF20/J5ztPwYotkLRTxXIgq9AoAbokqm5VJ7IioAh4PwIuJ1RecgCX/Bhc7tvjAv7uh99f2zNK0k6XyGIQ59Jdp6RjXJDcOjgBwSpfmQqrtHe7MPloc46shBLgE/x5MKsIn8fJhD4xEhnqltP1/rukZ6gIKALNAgG3MBSX/BxlSJiidWqPCpCqv6+vTOwfA1Itln0IRL25JktSYoLlmg4RJmu1W1KoPHFzqnRJCJHPIa3adfy8pEFetRtKgBmwVnu1RREWHYqAIqAIeCECLidUpqMG+FtR+nI6T7nod6rWVwmGTYY/lUt5BqfS4U99fU0mSDUIwv9AKQGr0pKdMSJBurcNgwsg1xArfavHQKzToVsd0ytawlW36oXTSU9JEWjdCLieUIEnpVL2kt/JQDW/478vgFQ7wwKdNCBO3lybKfvTCowe9Sn4Ufnd8opKKSqrlH7twyQVLoF+7cPljdWZxkplQGvL1+fkzuFQAqRoserWPX316hUB70LA9YQKLq2yUEGMVYWnnK7bGK7YblDnCFioxSYQtfHQOflg40kQZYKRXdHnWlx2QcKD/OSm/rHSHm6BjzafhG41TxZAt3owsxAugESZMjBOfLVgtXfNKj0bRaCVIuByQiWOQbAyyXH0mdY1aKWGgixppeaeL5PNR85hWZ8jneJDZES3NlJpSVmhFKg0++mFYFVSdDvp3yFc3voiW/Yjy+q5xWlGYnUbglk9ktVabaVzWC9bEfAaBFxOqFzsByJiTxOURFg3pYJwQZZtELmfDCszO69EjpwskhfhV+0QHyxt4We1ZVfk5RJYq9SkkoD7to+QF6Fb3X0iXz7amANXQIHcCZ/rDf1iJCRQawJ4zezSE1EEWhkCLidULuXt1NHLGKhV/lQGqTrEBaOkX7y8sTYLPtJi+FPT5IkpqYZAna1c+lapyEqNDZYfTe1gpFeLELAisfJ7BzILZPaoJKMa0KEIKAKKgKcRcDmhUtIfFGAJ+2mBcml/uUHSZVR/UMc2cgpL/w/hJ92BjKkP4U99YFzbKn+qvQ9uXwolAC3RaY6CKu8gQWDj4XPy/oYclAcshG41Xsb3iZYIzbLy9HzS4ykCrRoB1xMqLVSQHX2oaIoqRaWVEn0F6SitUD9oV6/rGS0nIPpfve+0zN+Si3qqIXJ972gTwLrY2uV3SNrd4TtlltX7IODlu8+YOqtHc6BxRc0A6lapZ9WhCCgCioAnEHA9oeKsg/390JSPAX7In0oqLiHD2i6MBBkGbelk5O9nnS2Rw0g7fW1VpiRFBkoP6FF9YOnWJsGib5UW7uxrk6R3Srgs3JErS+AG+HBTjnwNYp0xIlFGdouUMATAdCgCioAi4E4EXE+oMBuDueSn9AkMWFxWYYjVWKyXX/0b9wD9o7NGJcpLyzNQ8q9UXoP+9JlpnYyQvy7VAH9/AbrVAVAAdERAqycIeN6GbNn69Xk5jmSA0T2iDLF2T9YsK3dOJt23ItDaEXADofrAv+lrluMk1MJS9EIhkTplS9UFOgn3ArbrlhQmExGxf/vLLONPfXFFhjx2UztTdKUuUuV3jW4VpQLZBaATiJVug7Wotzp/S45RENwFUr0JFrAORUARUATcgYDrCRVnyYARxfaM4BeB5OrJp+b6SJj87shuUZKB+qkskrJm/xnpiopTUwbGms8uF+gqQ8nAiooKWKsRJtpP3SpdB1QCsHTgHmRlTUWxla6oGaBDEVAEFAFXIuB6QoWFGRoEC5VLfJxpcQkIFX8xNafreeYkTFqaUyGlOoW2KdthpTLoxOU8C1JXOozeunZnuRoumK6qN0Pj2gsugFfRcmXXiQKZC1fA9qPnZBZ8rjeglxVbsuhQBBQBRcAVCLiHUAOsKD9TTFnspL5E6nxBtFSjQIiTIeTPhKWaiepUf110Qn6J1imJCFQxg+pKg9vQou0K3+l/3tpBluw8LZ8hbXU3iPUvC09At1oos5C+moQkAh2KgCKgCDQWAdcTKpylTCml3cclP6Pwlm1qxf3rO2jVcutuIMOp0JW+80UWiLXEWJqPoXVKMEj7ShpXHovblCBgxSQB+lZp4b68MlP2ZeTLXPS02gsXAFNXx0GepUqA+t4d3U4RUARqQ8D1hMolPyLytg+VS+8rRffrXrpbRamHd20jJ5GaSuty/cE8k5p697XJxko1hVbqMZhlRauZEqxfzOhsVAAr95yRzUgIOJxdZDqwsmRge6gMdCgCioAi0BAEXE6oPIkwW9iPv9M6NHapMVmv/hS59Gc1/3G9WZS6BBlReTJv/UnpHB8qw0C0lT7Yfz33y+2YZUW/6T2jk1ETINwoAFbsPSNz12eBWEmqiYbAtSbA1d8r/YYi0NoRcA+h0kLFCp8l+ErLoUOtJ+HVaanCCo0JDzBLf6anUlv6Cpb+8fClsg5AxVUegK1ZmCgwsGOEdIZ6oFNCqClkvQElBJllNaZXlJFYddIsq9b+fOj1KwJXhYBbCDWcUX78jzzKoJRtoF7VmTltTBuXnEmCY73Ul1dmoHp/EeRQGSiS0hH+VN/Llgqs7bhVulWQ/wNjkqVnSqgshEth9b6zpi4riZWkej1qAuhQBBQBRaA+CLiHUIP9q2RTJdCFMjjV2EEpFK3K3u3CUfgkBqml2bIJy/830T7lGyiiQl/r5eqv1nV8o1v1uSBDu7SBtRtimgS+gX2yK0AGXAw70dOKlrFaq429g/p9RaDlI+AWQmWTPhIcaZQ+S1cNdKU2+x2LiDzTUr9AFtTSXadNO5XxfWPqld5a27kYJQCKuMRFBMhtqGDVDQVX3mWWFlquvLcO1a+O5svs0UkyAcdwNHR11SXpfhQBRaAFIeAWQiU+9KFyMBLfePu0GnFbn3o7JFA5EP3vRQbU2yjfl4rIf3ekrLIodUOGTf4k7AGQViVHdZBlu0/LR5tOys4T5+XkwlKjBLhzeLzqVhsCsH5HEWgFCLiNUJl3T8dnGS1UVzIqbgolUNFhAaZ6f+aZUkk7VWzaofzkjk4meMXPGzpMoRX8xIRDtwp/bR+4AF5CLQEqAN6B1bo77bzcASuWnVfpu9WhCCgCioCNgPsI1dEGxbZQXZngSZcsNaWUPU2DKH/u+mxT/ITFVB4ezyIqqAnQcE41/G93B+AxfjGji/HZUl616dB5OZLN7gC0VpllFaizSRFQBBQBg4BbCJVkZyxUUFN9UkQbci9oRQbgGCzNx9bSi+FLZYHpdtHBJiOqEkv/K7VgudJx7e4AYcG+cu91ydIProD3N5w03QFI3oZUoQQYhoCWWqtXQlM/VwRaPgJuIVTCFoDOpxzlJsrvHiCpJ/WHJcxgEUX/uxCR/zf6UnVA59RrOrKIimv8t3aW1eBObUy0/wM0Bly597R88VWesYwn4vjT4R7QLCv33GfdqyLQXBBwC6H6wERldpMhVJMbyjW6eyAhV7O4yXRYpeeKyuFTLZHX12QgqNRREiD8b4iUqrYztXWrkejS+tD4FONbXYTuAGv25cm767LkaxDrDBRauRYWs5su1T0A6l4VAUXAZQi4h1CdLFRXR/kvvnJqXE0RFdQ3vZWdU6Eh/SqjwIj/f4gKUw3Vp9aFMHWrvtCtjuweaeRaXRPD4AbIlnWoMXDiVIkpiM0mgew8oEMRUARaFwJuIVRCGOhY8rPzqauj/BffIiP6xy+ZSsq01IXbcwzBMVh1F6zGKxWlvtpbbutW49sEmnYtbK3yIeRVbBD4NqpisTwg21kzhVWHIqAItB4E3EKoDEoFItTOpT/9nJ4YzOcPgozpRrQ4Yb7/xiN5smB7LlqhhMhwNOmzygm67kycdavDu0ZKalwQdKtnjLW65cg502iQJQLZ6joRxKtDEVAEWj4C7iFUY6FaPtQG6uwbhHyVfhRl+E6eK5ZDKMvHIiptY4JMoMpoYl08LN1qhSSANFlnoFfbUFOzlT7Vf6/Jlp3H0M4aSgD6VrU7gIvB190pAl6GgFsIleZgkCMoxeWxCw3Dy8LH49DFEI8U0snXxCE4lQW/ZrH8a1m68ae2QUCpMaL/ug7O45ruAJBxDYQSIBU1AT7ZclKWo94q67cezSmCxCrBKAFikXigQxFQBFomAm4hVFaaCmIraWOhkm48RalWp1US26BOkXK2sAK9qLJNY755G3LkgbFJJhffXV4IWshl+IlGltV90K32T40wetU9SI9lsGxfer4h1aGdI417QocioAi0LATcQ6i0UNGihIxqieM9R6i8PUb0j6AY25och4W6Cp1TGahqFxMIyzVWSqlPddMpOWdZDekM3Srqrc5Dq5W10KyyNODBrELTOPB2+FaTtZdVy3qa9GpaPQLuIVTAyswhEwgCuRUUX5DYCM9izaV9APy4N/WPRRk++FOz4NNEBJ5FVHqimhSDWG7iVHOhfJGwFiw7r86Z0E76wlplvVVWyGLyAdNXqUAYCtJlEE+HIqAINH8E3EKoZNKQQF+z9CaxFJWy77PV08ldlmGttwIHS0VF/5mQMLHASS5K/r2+Okt+cEuq6aha6foY1SWnYelWRa7rESldYK12TAx2FLI+YwJXbGV96+BYSYlR3Wrzf5z0Clo7Am4hVOo+Sai2VKmoDG1QmgBpqyg1GvPBIp0EOdXbazNR2/ScvLgiXX4wxfWi/7oukYG5YvTWYvvrB8e2lV44n0/Qy2ordKtvrs2QvfCtUrfKZAEdioAi0HwRcAuhkkiDaaEaH2qlFJVYnU+bYmnLoJjVOTUSZf5KUEDltHz51Tn5NDlXbkFmlTuDVM7Twlm3OrpntHSEjGspzmUekg82HMqDbrVU9mfEmnOKb6NKgOb7SOmZt2YE3EOoZsnvaCUNdIvYShp/Mq7dFJYqSTUiyA9kFSen80tlO7ShH27KMdrUAR1QRAWfe8oVYXSrlRVGGzsLPtQe0K2+Bd8uW1m/uipTtqL1yqxRybBW25gMLx2KgCLQfBBwG6GGOoJSXHYX20Wmm5AfmLHFFifMXMrKQ1FqBKqeX5YmP7ujsymu0tBK/w251XY7az+0ihmBLK6O8PPO35qLdi6nqmoCTBsabwq+RIS45RY15LT1O4qAInAFBNzytFKBGsrOpwxCIfBTUkoLtSltVMsyZtZWOxQtmQLZEnPuj6Oz6aurM+W7N7U3Pl9XVaaq76yzrNVKVMUKMrpVVrB6A8kI7Oj66spM6FcLjG51EJIF7NoI9d23bqcIKAKeR8A9hAoiDcUSm7n8oAwEZBCUaoq1/kV4krxY+JpW4bnCcrPsZ+fU+VuCTctoT/lTa/hWgQutYyaWjeweJV1RNes9+FXXH8hDptVp+FULjFV925A4WNhaE8Dzj4geURGoPwJuIVQe3iJUSyblaWH/5S6fVmEQ9KkT+8UY2RKrUrEKP32aY9Enivn+TcH9dncAuiUehW61H1qvfEwlAAqtsDYAe1rNhM+V2VfqWq3/BNctFQFPIuA2Qg0DodpR/hIEpUy6p9UVpckHRf8s3nIzIurZ58pQ8q/IBIbax6KICvLwPb30dwbE1AQAY7JVdpekEHRdzZFV6GXFdtnsukr5162D47TzapPPIj0BReBSBNxGqOFB/oYYaKEyY4ijCWNSNa7c4nYfI7SfiXqmL0OXegJ1VF9HlP3xm1MlPMQP6atNN11MvVXoVttB7P/ticiyahcuC5BltRkKgNdWZ6DQSgGUAEkyGFlWOhQBRcB7EHAfoQY7lvy41lIuo73BieqEO0nLp9JHeqeEyYQ+sTJ3QxZqqJ6TN2GpfntiipXl5a4qKvW8/7Ts6fMd3zfa1ARYiPquH208Kav3n5UT6KF1C4JrrKoVCzeBDkVAEWh6BNxGqEGO1FNT2s7DxVHqC6st+r8OlfUzUBD6i6/OyGosr7sjMMTGfx5Pla3lxCn3qoC1ypYqD4xJlt5tw0D+2aY2wb+WZ5gOrPeMTjKJCzoUAUWgaRFwG6Fyee8oiWqW/F7gOq0VaVqhzOtn9afT+WUo9Xde3kN1KFaC6tMeRVRc1Dm1MbfZ1q3S78vAGTuvLkSDwAXbTsmXKLbCNtpsnc0fbWfdGKT1u4pA4xBwG6HytJjySSZloMVbGdUut8d0z6kI9mSeLZajCFI9j6LUP5/RSWLCAqzz94LBYFoFihO0Q/Ds3tHJaBAYauqsZsK6/tfydNl5PN90DbgGvbXoKtChCCgCnkXAbYTKx9kfmUBk0qaSItUXSlqA/KEGlLn0c9eflGOoss8ye3PQMpqiek+2crncedsyNLbpvr5PtPSCD5jNCNcdPCdLoARgEes7hyeaDrC0vHUoAoqA5xBw3xMHLmVqJYdt4XmzzUR/KpfUY3pEy9n8cvkMAaBVKAidEh0kt2Mp7WtSFLxnMKhWVi6mgtUjUAL0Sz1r9LR70vLlRVirh1DIeva1SabSlupWvee+6Zm0bATcR6jALdDXavNh+jh5x6r5sneT58kqWTeiKPXXsFC3H7P8qaypOgRtSyphpnrTZZiAH86Z761xvWOMb3UerOuNyP76DP7VvemFsFTjTIcAJgzoUAQUAfci4DZCpTXKZalFqA4+9WYT1YEzo+oR0KHeNiTeBKnYDppL/7bRwRDTB3jN0t95WvB9VYHAH1tmU0e7Aimri3acli3QrdK3+lVmIXSriSb7SocioAi4DwH3ESrWmXbb5DKjkvcm265uQK26rT7SE/KkmSOTTDHqAyCk15D++b3J7WHBUvTvnddSDN0qA4Fs+0J/8CebT4JYT5kqVswGu21wvExAhwC2ZdGhCCgCrkfArU8WG+VxVHjZUvlKMNI/6QvRf9/UcBkHmdL8rTnyJXL+me/PqlDMAOM23jjoCy7GudFa/db4dpB+RaAIzEmkrRbJ306lwR1wHr7VRBkIJYAORUARcC0CbiNUBkIY5GGSJ5f8zcRArUKXS39KjyjwP4leVPRLLoGlR8tvJKpV2e1dXHs7XLM3O92XRb5vQBGYzsiyWrT9FPyqubJy72lkWRWZWqvU3hppmw5FQBFwCQLuI1ScXhAsVD6u7DDaHAeX9nHQp06HDOnU+VI5gMj5G6ifGo8yet2TQ7xGn1oXtiwLyDIKndHp9X5kWXUDsb69DvVWUQf2uSXpsh09re5E2cL+sMS1O0BznKF6zt6GgNsIlUxqLFRHX6nmSKl2FJ3SpFsGJxg50lFE/1+BP/Xp2zpKBOoV0JL15mFZq1AvoIPCxP4x0hNFrKkEYDtrBq72QwkwY2QCim7HSziuR4cioAg0HAG3ESpt06AAhw/Vy0nncvAZ4xqXwWr67En1AYqTfIWiz3PXZ8Gf2hZFVDzcGruB99rqDiCmXfUjKP7CtFomBLAm7D+XMvBWhOyrJNM8UHWrDQRZv9bqEXAjoWLJH4CKU1zyY9np7Zbc5WaCKUoNC298nxjJhT91MXypjJ7HtwmEvCoBPmJHvVcvn058OTBrjcHCifANd6FuFS+IzUfOQxGQI7tP5KM7QLypuRqNlFsdioAicHUIuI1QyaRcZtLaoWqqqARtUJrxQ0rRP4M8kwbEYdlfLPtRk/RdLJ0ZpOqNeqUXHDVfrw7+ptma94MpCl1w7k9At7oMKasLELRiLYB/LkmTAyhkzTqxlI7pUAQUgfoj4DZCZXyfhApKNbVQC9moz2g8m8cSuTYIy8FEcZEMUiXIyyszjPD/TRQneXxyqsQieNWURanrf8urt2S9VUb5JyOTqgsKrVBexVqrC5B2+/XJYqTcxiMDK1oiQ902TRpy2vodRcBrEXDbk+KDB5VpnD70MeLyi6o6n3otFlc8MVv03wcZR2zqR9H/9mP56PmUaUT/zAzzVn1qXRdnd17t3jZU/uPGdtK/Q7h8ipbWu06cl2OniuAOOGd6WfXVLKsrzg/dQBFwH6ECW7ZmtvWaRaVW59PmHvCglMoXyfMskXcdRP9Ldlo1Sdn/ibpOWubNLQZnlACwVsMQ5b8ZHQDoW50PUv0c17YYP2xrPX1YoknH1aEIKAJ1I+A+QgWThiAoZUqi4ollK+mWMkyTP7gzJsOfegpBKhZR+QwE1AFFVAZ1akMnh1e0zb5avNmdlveL1uq3olKgtQ01qoaD6A7w989PyDboVmeMSIDiQWsCXC22un3rQMC9hGpaSVuN+sySH386ak43e3RpqSbCn3oX8v1zHJ1TX4FfNQ6R/47onEpRfXMcVoNAMZrUKfCtkjzfB6mu3X/GNAo8AMnYXXABsJcVlQ86FAFFoBoB9xEq7DSz5DfCfoGF6l2l7xo7CfhyoKWaFEXRfxyKp2SaQM5bDFIhcs5rb0aB/0vg4LUxe4olAR+ZkIK6qqEyD/VWD2fTWk1DQkCB3I2uAe3R66q5u3EaOxf0+4qAjYD7CBVEGgaZEX2oltVjdz6lVePd2UX1nR58UTBKPqhjGzmZVyYfo7rTNgSpPoamkymdzVnRQAx43+gGCMVKYwqSGmxS3QYXxwebciCzKjBZVhP7xpqShzoUgdaOgNsIlcDyQbSW/BahtsTBKDmtURalzs4rQZX/M/IRCJWi/xshkC9tAZY5r5Evxh7QpT55SwdTJObTLbmyB+1WshaVmPTVu0CslF7pUARaMwJuJdSwIGvJT3u0GK2Q7TTOFmKgVs0bVs0PxbWyMv7x3GJExYuRL59tIv8so+ctTf4aM9F5D9m9ljVumYJLJQB9q5vRxvojWKsHswqMEmAMlA9qrTYGaf1uc0bAzYSKKD9sGwZw7FbSLbVYHK24dqjqPwNL/VdWpksaWju/hspU372xvUSH+3tlpf+GTFy7JgB1qanwny7fe8ZIq7YdzZej8CHbSgBaszoUgdaGgFsJNTzE3yoeAlTN0reZlvGrz6Qwl4ZrHdAhQqYhv/9VBKc2HsqT14P95buT2nt1Uer6XJ/zNrxWBhnD4TedBm2qkVchy2r57jOouZojR1BwhfIqKgF0KAKtCQG3EmoofIuOPn3NVkZ0NZOB1htbZw/tGikHEA1fC38qy+T1RmUn+lgr4UZuSe8UW7fKVtaPtmknPdFhlYS6J61A0heckC3IspoBWRmDWToUgdaAgFsJlbIbX0TBjYWKaHHLiO1fflpQbkQNJ/s3nUWuP9s6s71zAoJUzK6qwOctCQdLwVFp+lTdjkpVffHy+Hiz1RngEwSumBTANN1J18Rqd4DWwCit/BrdSqjE1s8hUjRC95bEJJeZOLRUU9B/6u5rk+TZBcdNzVEWU3lmWidJjgpqkda6aWeNlyd9p3MmBKGuapB5kRxAVa6/LjqBltb5Bg/WY9WhCLRUBNxLqIhAsS8TibS0hVlml5sQpu4orjc5Okhuhej/LbShZsDmvXXZ8jCKO7M1TDNNpLrsc2ACVvhpA98q6xqwrOGHUAJsR8BqLkodsuXKbCQDjEcFK0rqdCgCLQ0BtxIqI/r+pvNppSlszNFSo/wXTwwSCy22kd2iJPd8mcn1X/vVGZBsoNyBBnnNXfRf14PARQjdHry+viBU1jdYgnqrTHagb/XPsNi/QpYV01eZZaVDEWhJCLiVUAkUgzQcLUGLebU3nhYbLTFGu9NPF8uGQ+dQczRH2mHZO7pHFPzKLSsd1xkfu/Mqr59VqjqgUSB7We0Dqb4Hja7dy+pa4BCm1urVTi3d3ksRcCuh0koJcLQprkCxqSphv5eC4Y7TomVOwrgVQapMaFMzz5aaXk6psNzawc/a0l80trU6GFW4mEnFcodLdp6WjUfyIK8qRLAqzhTs7oxEAR2KQHNHwL2ECnQC2PmUy0BTzr6VRKWcZgWvmHF9FhmZMSLJBKcOoR316xD9fwcFndk5tbnVT73aSW/XW42Eb/VOtOTulhQmH2zIlrWQlLE84OHsQlP7gH2udCgCzRkBtxIqHWmBxofqY/xqrY9OranBdwldH4M6RUj2uTh554ssWX/wrCSgPfW3rm9rynG1dFIlDka3ivfrNR3DpS18yWxpTWt1y9fnTLru1q/Pg3DVWm3OhNLaz92thEoqpYXKP0morZZRHddPUqXv9GuI/jcgi2rlntOQGYXKtd2jmm1R6qt9gBisK8UPi8fMcrRW+RhZVmvQy+p9WK2mQSB+f0N/tVavFlvdvukRcDuhBnHJD0ZlgKa1D75UotDw7g40vztTWAaNZqH8G5Iq/o658S1N9F/X/bYSPawGgf1TwyUZljp9qKzSxUSIZxeWyG78ORudV5Og29WhCDQXBNxKqCRSa8kPQoUjTSmVvmQUUYFciNlDf1l4XA7Dn8ri1M9M6ygx4QEtPkjl/GDYDQJjcd0zaK2mRshHG7PhAjgv73yZJTtQd5XJAGOhWzUvZh2KgJcj4FZCJZXabTK41NNhKR0o6mdZP0b+KSFiUOb9jTly/3VJRrfb3NpRN+a+miQI/IdpygNgrVKbughtrNkkcPfxfPnDWehW4QagbjURlqwORcCbEXAvoeIhCXb4UEkiyqnWVKBlxiZ/Y3vHyOmCcvRqyjFyoliU+WP1JisVonUNUxMAQavIUD9TqYq1ZJlltR9kSrfInhMFyLJKkmFd2piC3joUAW9EwK2EygsOcvSVYqWlYrSSFvgLdVhBOupTWaz5ONo070DrFEqIKK8aDDUAyaU1DquXlchwVOxilaqF29HKescpWXforByGbpV4TUemGd0mOhQBb0PArexGYb9todKDWlRSoVaq0wyg6D8c9VKZ987OqadRnepd5PsnYWmbBFlRecvpvH1V854rGbbMicTLlxH/zomWtboV8qp3vsw2Faz4++t6Rl3VfnVjRcDdCLiVUGlpGB8q/sKHpJCtpPG/lprHfrU3izYol/fdUUeUwvZXVqTLrhP5DtF/e5O2yqVwax3UrVIJQGuV3QGW7T6NnzPyJRICWMFr29EYpLUmmHoBOhQBb0DArYTKBn30d9HjRUItKmulJtdl7jSDdezTNKRzG8lAvj+X/eugUe2AoNWsUUkoSu3oxeUNs6UJzsGuYMWyh7MR8Wcx6w+hW/3yQJ68jQSJfWgQOPta9LLqGd0EZ6eHVARqIuBeQsWxQtFK2lTwg6VVTAsVxKp93GveBObzk1THIUh1NKdYtkMutBidRUmqI7q2kQra9a3XUDUBOvYkYynIQXjxsCwidauL4F/dipKA6aeKjSKAUrQ4JAzoUASaCgH3EiqINMR0PrWq9hc5WirTYm3F/FDrvaYlxuwhNvk7U1AGYi1CdDtDYiP8pXtSaKvSp9b1MFDD64M3C33M96CuKjsgsOPqZrRaeXNNluwEqdKqp2+VrgIdioCnEXA/ocKHyqnNJT8tVMOkOtcvuc+0QMuhLesQxyIqifL3xScg+i/CsjZbfnBLqvGnmvTdVj7s4t0kzIGoYMVSiJ9Cs8peVqwJcALW6sHMBOOTZlsWHYqAJxFw64zzAXOGBqHzqSP1lJFbpYS6by9fOrTAeqKNyJSB8cZXuOv4eeS458DySjRWV2sOUjkjV5VlFRFgsql6oiYCi1hTt8qKXnSb0IqlBM1OLvHkg6XHap0IuJdQQaS0rMySnz5UFlS2+y0rtda59CcBTOwXI6cgo1qy07K+YiD6nzIwzvhS9aVkQWdZ9VYFKxaq7omAFTsjLIJu9Yuvzpp21mxBM32YZlm1Tnrz/FW7lVB5OWG2sB9/p4Wq48oIkCTahPibzqnH4EtlERVW+u+G7KGeKeGmsIiOagRIrMWYW1FY4tOH2hHdAYjXPjQGfGN1lhzKhG4VFj7lVzoUAXci4H5CRQFlI5ti2TZjoeIfrTG38irvIrGiD5AFmf+1PE1O5pXI2xD9f3tiIIJXAVq9qxY8y0y9VZRIhISqC5IB2Mtq2Z4zshw/TAagtUornx1pdSgC7kDA7YTKHvU+mORG+uLwoWpM6sq3ki8ekgPL+lEO9NKKDNmEnlRhQZnyHze0g1/QSpbQURMBu94q21Xfe12ySZpgndXNqGD12qoMUx6QetYRaq3q1HEDAm4n1DASqtVJWko0Sn1Vt5CBlwA/XxmGh/9oTgny2nNkAyr9MwBDa6uSXRCUVGvFlC4Aq+tspOkOQL/qCliq65AQcBxY3gxLdfrweFMyUYci4CoE3E6oAYgY+EG0zueeuetWUEpHfREog5SKtUBZwT7tVJHsRQvm+VtyoMUMQnZVhNaZvQyQthKADREfHNtWBnVsgzKJ2bL1yHl5dTXTfM+brgGjENDSoQi4AgG3EypP0s+RGkVC1XH1CFDQztTLmQi4/AP6VOaxv7EmA77UDgjAhED0r7jWhSrf36wJwPYzQ5F1xiyrT7aclM9hsW5Eii+DfrdDBcCSgdrO+urnpn6jJgLuJ1Qs903WCid2K27U15iJZ4v+SZ53onPqv5alGUnQB9Cpfgf+VNZWZfsUHXUjQOUELda2INQHYK32aReBhADqVgvkhaVpsg1JAQ+MTZZ+6BrANGAdikBDEHA7oZpGfY4JyiisiigbcpusTDN2AWEPppsGxJpl/3r4A9lziZ1CCbEGqS6PrZVldUEC4Zce2zsKhVasZAB2Xl2NJoFHaK2ietW0oepbbdgs1W+5nVAJMZdbZFK7lbS+/xs28UxRahSbmXxNrOTklYIEzhgri7nt7GnPAiI6royA6Q5QVolCKgFyH5QAHROCTU2AoyeL5UWUUKTVei+yrPp3CL/yznQLRcAJAY8QaoCjUEWZmlCNnnylsLDahATINFStT0O5vxOnSkAGrPQfbKr9m1WAjnohQKxYwYovI6b70q+6HDVX+Sf7WN0JFcBNA+IkQXtZ1QtP3QjGo7tBYDwqwNGxstxZ2O/uA7fg/XPZyij/dIj+X1yebvyp7Lv06MR2RgakLbvrf/PZjbeiXEwBa/pWuySGmhoK7Lj6/LIM2YFeVvcgy4qFWHQoAldCwAOE6gNCtRb5jFbraDwCluhfZBAe8rtGlMuLK9Nl/cE8iULLkDnj28HFov7Uq0WZpSXp678evlV2Xl24Ldd0Bli557R8nV0kU5EGTN8q27LoUATqQsDts4NUGuggVLWcXDcRTedUWP4jIFw/jAd+xd4z8gWCVFy6srBKa6/0f7VIc54aJQD+wrTVORNSUMw6AllWJ03lKqb/7kZ7GrazHorOqzoUgdoQcDuh8qB88KstVLVSXTUVme8fgmpezPrJOFuCfPVCCNdPoih1gAxA8eULKlO7aqgt3SqUADACWMEqBTIr+qhZF2AtK1jh5XUHVBUkVpVXXTW8Lf4LbidU+lCZ6cMSftRKKp26dk7RUm2PTCDW/vzLwuNyCKT6+upM+SECKdRcsr2KjqtHgLj5Als2AHzo+hRE/CNQRjFX9qUVyHNL0tB65Zw8OCYZetZwU3NBhyJABNxPqE5Lfs06df2kM6J/RKs7oWTdHYj8v7Y6wwSpPoFOlemWXB2oq6VhuNPlz2QUrgLG94lBoZVQJFPkoCbAKfhWzxhrdTownzok3pRb1KEIuH8W2K2k6aPiDFWDyeWzjpFqan3ZOTUNLUAW7cg1hUBiwgKQVpmg1RIbibhdE4Bl/745DkoASNQ+2ZKLLrUl8k9kWe1DfQUqBEi4Olo3Am4nVLZBCULY2Uj7QaZaZNo9E84uSn3LoHjUTi2VDYfzTDZVKnpUjYYvUFt4Nw53uyZAMMomTr4mHmUVI2QBOims2HtWPoUrYC/aWc8amYAiNrFawapxUDfrb7ufUMGknIQ+iEtVIpGnEI36VD3lnjnDTKkotEqhVZpxttQUpf5o80nIgIIkBT8q+m887qxDUyEXTFeAb4xLQZZVqHwCjL9CdtXfPk9D59UC1FtNNHVsdbQ+BNxOqPTXByNdkr1P2aKvsKTCmKqmRqou/10+4xj4o1U6HZHol5BGSakPg1SPTEyBhjJAm/y5CHHWW6W+ehLKKpJcF27PlY0Hzxl3y+FsZFmhehWzrCJQD1hH60HA7YTKJX8wW0k7incUl1WoG9WN88suojIMWsnTBWXyJsh0A8rUtYX/jxXsbdeLG0+h1ezaNAgEoL3QHJBqgGs65MkHkK3xJfbXRSdk+1HoVkGsVAjoaB0IuJ9QMeFC7EZ9bKaGJT8tU0eJ1NaBsoevksE/Wk/XobcSs3yY8bMCOeos/ze2V5QJDurqwDU3hS8wxgVCsAq7HkoA6lZZwWoNNKtLoV09mFkAazXR9AbTOe8azL15Lx4iVGvJz2r9hdpXyiPzgf5SSnluRcpkJkT/RyGlem99NkT//tIX2knVp7r2NjAZwBeM2R3taR6Ge4WJFdStfgUFAH2rO47no4JVkslk09FyEXA/oQK7UKdW0vQ9cc1v95lqudA2/ZWVI4LSGRWo7ruurfzxs2NG9P/2F9ny+M1BEo9sKiVV194jlgUsQ6GVCLzIbkS0v3tSqMxDg0DWWl2CClYHUMGKnQHYeTUU2lYdLQ8B9xMqmDM0yOFDBZeaJb/xomp2ibunk1VQudLkpjNI8uaaLKOZpOif9T6ZOqmif9feBc5sy7daCQVAiLFWabWy2MoJ6Fb/At8qfaxGIYBglo6WhYAHCBUWKt7GVlAKhX1ZBNlE962i0zrciwAJ0x8V6kd2i4LovwTV6U+ZCvVRiPhPQ4aP3gX34G+yrDDXw4L85ZaB8SZF9dOtubIG1urHm3NlP3WraGc9vk+0VrByzy1okr26nVB5VYZQHT5UOvCVRj17r7n0Z9k5EmjWmRL4886bRnV0B7BzqnHD6HALAnyh8aXVDcv/OeMtq5S+VTZafHbBcVN3dTaaL/aAFauj+SPgEUJlN0mrT59loZoIs5pGHp09pSBNFp9mUeqT50ol93ypkfgkRQaYTqDqT3Xf7eB050uL8kEGCUmuC7efMnI2KgIOZhYiGcCyVtW36r774Ik9e4RQw7HsYUWeCzCEbAtVPaieuL3Vx+BDTZdLV+Sb34G2yS+jKPU2VEx6Y62fPILan+HB/ir6d/MtoVyNri9mUXVA8kWvdsyyypVd8KlmIGi49eh5mYGEDOpadTRPBDxCqGHIFrENUvZI19E0CDBtMgDB5ZHdIyUHFupcyKhoJXXB0p+dU40AQ2+PW28O8aW1ymdiMjKpUmNDTM0F3ofP4GPdj6DhXdCtsjuAjuaHgEcINRgl5OyakWVmya9PbVNNFS7tWdJvXO8YOZ5bJJuPnJdFCFSxduoIEK3WrPXMnTG6VazaaK2yihU7rH62Fc0BsfynEmBPWj6KrSRKF7gHdDQfBDxCqFzmINBsglGcSDqaFgG+1OLgT70NPegp+meA5J112cbHSokPZT863I/ABbgA2AmYvcBuRgUrNghkyxV2BvgM7cH3opj1XWgQePM1cdodwP23wyVH8Aih8kzZrpeUyjbI+ri65N41eCfEvwwO7a54gO8b3Vb+hEr/bJ/yIYJUj97YHooAPyXVBqN7dV8094K6VRgczKJ69IYU6ZkSKoshbWOh8D9+ekx2HcuXb17f1qwidHg3Ap4hVHCpP9ugVPpY0WRl1CafFabSP6yj7niIb4Ociv7ULV+fM6XoZkHGwxWFlln03G2qslZRFHwaVg592kXIx+hltQ51GD7AnweoBMB9GYOurFTN6PBOBDxCqLRNWVGesim26+DQKH/TTwhqJNnva2yvaEmHPnU5CqgsQopkXEQgiijHatTfw7eITwZ92HSR9YKVmhyVIh2gW/2caasosvLb+UehIY6VmfCtdkIgUYf3IeARQq1e8lvLGzVQvWcilMEFQ9/pnZBSsaUH8/0Zde6INh/9EDBR0b/n75Xd2YI1AVilisVsFqDO6gbUW33ny2x0B0DLFTQIZFdWalt1eA8CHiFUvnHZlpeDWTvKqN4zAXgmTLZg6+mZCID8Ex09T6AvFV0A/F0CrFXTC0yHxxFgcJDPDhUAqbBUuyWdNi+7bdCrZmJFMaFfjKm32hldA3R4BwKeIVQs8APodcdgVLMqld87MGj1Z2FnrvVqG26J/lekyabD5yH2z5KHIfoPRa1PJgXo8DwCtm61TYif8XWnopA19apMAqAigG2tqVudMijO8yenR7wEAc8QKt6yLHjMQR+RDu9DgP7UQPi5r4UWNfNMsczHQ7v+YJ7p5Hkb0iXZTlk5tenuGxNi/KCUGdKpjXRGofBV+84YYmUtgAxYq/vR04qFrNk5QEfTIeARQuXlUUzOYS0flVSb7pbXfWSSZjBq197QL1bS4E/diSIqfGiTIgNlKFqqcAmqd67p7pxpZ42faPi8b4W12hllGeetPynrkWXFugy7UMT6btQEYOdV7Q7QNPfJI4TKmxtk+kqx/qbSadPc6vodlZX+E6OC5PahEP3D8mHDube+yELkPwCR5VAEFTUxo35IumcrOzmG1mr/1AhJxMuub/swWYx2K/tQwPrXHx+FO4D1VpPNZzo8i4BHCNVYqA7pHN+wOrwXAVMgGaJ/LvXvQaX/5xYfl0Mg1flbcuWh8W1NNSTNpGr6+2esVfhg4hE0pBKgN5QA78NK3QRr9f2NWUjUKDDW6uieUUYap8MzCHiEUOk9DWRVDgwT3FBO9czdbeBRWBXMF7erb7swkxL5waZs+QIC87g2AWjhkWhKMep7sYHguvBrJjkD/+H9oJWaHN1ePoUPdTFqM+xBsOpXHx6VWxGsugu6VdYL0OF+BDxDqFjq8y1JYuWKUS0c99/Yxh6B94jWKKU5Gcj3X73/jKnh2RbugHHo7nlBl/6Nhdhl37e6A8C3GuZv6qqaQiu4V5sPnZNXV2eY8oDfGNdWhndtUxXLcNnBdUc1EPAQoYoJdpjGfLj5haUVEl0ZoLfCyxFgIZt4WKUzRyYZf+px6FM/QdGOdrFBpohKSZkuNbzpFtq61SGdI03L8AXxuch8y0VFsXNGCcDst+mQxfH+6XAPAp4hVJw7MzroyWFplCI06tNlv3tuqKv3ykwpkiqb/L2wNN3klL+37qTMQfM5VqxS0b+rEW/c/miwFNFggbXKF2En03LllGkM+AaaNLKCFRM4xmOVocP1CHiGUGGZhjDKD2dPJbiUhEpitS1W11+W7tFVCNii/2vQZ/72YQmm0v+Gw3kSg6g/0x+ZAaf+VFeh7br92LrVUd2jEWAMlxV7ThsJ3JfwhR/LLTbdb++AkoPtb3S4DgEPEaqPteTHedtvUP6pWjnX3Uh37smI/vFCHIMiKtSnLtt9Ct07z5hK/zcNiDH+O138u/MONGzftm41ASuMO/AyZKEV6lW3oqj4W19kyw7Iq+69Lhn3NaphB9BvXYKAhwgVFip0U1Z0uBIFNyr0VjQzBNjkLzTI1/jhmEnFVh0fIa88Fg/rQFivGmj0zhvKFx3dNtStDusSKSmwSJfvPiPLYbGypxit1W1HYw2xxsKFo6NxCHiGUHGOppU0TFLe4KJSK43R6oSqo7kgQNJsHxNsOqf+FW06DiDd8d9rs4wWsn1ssIr+vfhG2rpVLvFtJcB767JQA/e8qWC1H0kB/P0opB5bxeB1NAQBzxAqiDTUEeWnxpFvTCXShtyupv2OVZT6gqksT9H4SyvSTbm/TxH5Z0X5QFSl1iBV096jyx3d3D+8FGmtDoC0KiEyVRbAr7p8zxnZjmIrbGc9Hc0aWWyFlcZ0XD0CHiJUa8lv+VCx5C/nkp+Uyri/UuvV37am+wblp/4Q/Q/qFAEZVax8ir7yq/adNQ8gg1YaaGy6e1PfI1u+VTE1Gu7BUr9fhwjTw2obOjb8a3m6qeHwjbFtcY/bmMLwOuqPgGcIFefDtg1myQ9CLXEs+et/mrrl5RAICgqW0HBHJhoelML8UikrK6vxlRrb4H2Wf74Ylb8sXzbvS3BwiASHImKPXxUUlEr5Rd933hmtnIhgf5k0INYUpd6IqP+CbbnSDtk4o3tGQ5+q+f7ePmNpxrDYO1vdjOwWiQBjsHyMl+My+FY3IiHgeG6J3IIsKyoBEqO0JkB976dHCJUnE4aAho+j82mJsVD5JKuBWt8bVdt2PqgxGxgQKIcP7pcP330dBFku0TFxMnX63ZLYNkVKS0rQ/M1X/AMC5Kt9u+XjeW9CtnZBEpNTZPrsByUkNMy84C6AWL9cvUxWLVsokdExcuu0WZKY0k4qysvrPD0WpU5oEwhNY5LknCuVLGRTfYLlYwp8rB0RTWbkX4f3I2CrbrjCoLXaDTUcFm7Pld3HC+RFWKuUV9G9MwKkq+PKCHiOUIMR5QeDsjhKKTJsqF3UxcSVb1BdW5BMSZYb162Wv//hlxIbnyBJye1k1/bNcuLY1/Lgw9+Tjl26Ae8Lsm3zennn9RcM+YaFt5F1a5bL+byz8uCjT8AyDZZDX+2TtauWIEjoK7nZWbJi6QK5+ba7JLxNG0PAdQ1mUjFHnEv9fy1LN+JxVqZ6eEI7Iyzn0lJH80CAL0AGo65DMRWS6lJ0XWV/MaoB2Gacxa2n4ocvUR11I+BBQvWv8pjyQdTROAT8/PwkK/2ELP70Q+nRu5/8+L9/B1INlD07vpa//P4XsvizD2XOd38o2Znp8un7b0t0dKz89FfPSkiYyPo1m+Slf/xBNn65SkaPu0Ey0o4Zy/Tpnz0le3YekzdfeU7yzpyWCBLqZU6TfMlCRsNQK/V0fpm8tirDLP/Z7pgRY7rflFMbd589+W2+AOkjp7SK2VTsDvApVh2ss/rq6kzTeuXe0UkysnuUJ0+rWR3Lc4TKKD/cfHY9Ry41dTQMAfo8uUw/fGC/5J09I9/94U+NJZqZft5Yqk88/XP4SM9j5z743QnJzcmW++d8T0rgAigp9ZEOnbvJ4OHXytoVi2XE6Ould/9BsmfXNrlp1HXwo4bJ9FkPSkLbtvVqe0I/HNOKx/SONprGtRD8r0DUmJXjr+8TLayvqne6Yfe5qb5ViEzGALwNr4M/nDUBmMhB7eq6A3lyLKdYbhsaLzOgBohCy2sdNRHwGKH6ggQo17AJVW9EwxHgcp/+0ZycLJDeBUk/cUz+8cdfycGv9kpEZJR8+/s/llFjJ0hxUbGchaXpj6V+QmKSIV2SsfGr+gfge0dhiZ6SxKQUueueh0Cu40xwqku3XsY9wO2vNOi2YRCKQaopA+NMERXWT/1gI0T/0Kf2Q1k5kq6O5oMA7ykDj5SjtkchFfpWe6OU41x0B2DLldexEtkL985sWKtDkSygrrvqe+sxQiXqtmCYrTZ0NBwBvpwYMEo/cVxWI5CUlNxWHvqPHxii3Lx+DZbzf5TCwgKznLdJ1Mdp2nN1wAg/PyvHfipByklt20n7Dp0cKowSYwFfzWA3285IRWXtzT8tOC4HUOD4/Q3ZKKzSDvKcIBX9Xw2YjdiWcyAwyF/gETLLQYo1SktLL9ljYFCgIFZpBmKZWL2UmXvPwZduYFAAXrpw2WAa+CCzcXjXSElC6cZFKAu4CiuQ9VACsJ017zeLsIQjRqIDHOdJEGihmpusDd8aDbuRPIEI+w0cKndgid6lWw/xwxMQn5AoOSezZdEn86Q/PuPDUbcFUf1iKyuj1OrSB6++J8pnkfe1V0qY8Z++AZ8bfW8syHHfmCS8TH01SFVfMBu4nT8EwmUgvz279kh2ViYI0V86du4i7du3B6lahGmtTvzl+NGj8vWRwyYynAxFSFfMH84pzpULYNH9e/dJZka6xMXFS9fu3c2Khdlw98Fa7YPuAPOhW92N+/s8KpDtPlFgCuX0Tw3H/lu3veoxQiXMlki40vjVdDQOAQroQ0LDJSmprcQnJhvdKa3NwKAgLOHbypaNX0j+uXNGMkVL1LkNNEmWD5Wfn7/501WDQQ3eY1ozrJ1K+c2y3aclJtxfpqJzqg73IUCi5LO1euUyefGff5Xi4mIpKS6Rnr16ywMPPSz9rxlkFDa+aMWwa8d2ef4ffzaEyrkRhYDk95/8kYy4drRZ+ezbs1tefel5fH7IzKUHvvmwDBsx0qSLs7rYmN5R0iURhVY2Ialj7xn4zc/KESgBpsG3euugeNN/rLUO1z1N9UCQjm4Ou3tm636X1QOwOjbhQxCMcH1KagfZh2BSSXGRhIaGVvlH+XkAiDQYv4tCdJ+WR3ZWurTv2MmU+6Jetaio0ASnGN135eC9jQq1/Knpp6zOqexHlQrrZli3KClGrU4drkbAB/fbX1YuWyqvvvhPmTRlqnz3u4/KyVMF8qff/0Zewe9+9PTPYK2myv59X4FM/yIpcPE8//IreAmL/O1Pf5A3XnlJUtqnSmxsnGxYv07GXn8DSPUF+fjz5bJh3Vrp1r2nxMRac6kYQSvWBGAjQK5IFuHFuS+90NR34KrkwbG0ViNcfZHNYn8eI1RaVHYaW5lqaRo1OUiYgYGB0qNXX1mzfLEs+HiuzHnscVingsj9Fpn/wdsyaswEiPxjzXHi4hPl1ef/JP0HDcPfw2Trpt2yGfrVWfc/YoJQtGxdOVirIRl+09kQ/Z8pKIPov1Q+2pxrHkJKctSH7kq0rTKYXOpTUzz19ukybvyNcr4QL7boMBk0ZJh88tE8SU9Pk249UmXr5k2GFKdMu8NIpNg77Oapt0tWZoYsW7xIHvzWHJBnD1my6DPZvm0DXrwlMnrMOAmPCK/ysfLsqVtlW6PxUHJ0TwqVz9EZYAmUAOxndRTWKrXJzLSKbmVKAM8RKm5CtYWK4ihc9auJ2uAni1Zmu9ROMvuBh+Wzj96VR+6bLgGI3GfgwblmyHC5feb9eFj8QKAJcvus++X5P/9GHr1vmtGj5uZmy8RJU2XQsFFV6acNPpE6vsh2052QzngblvosorL92Dn59xd+Mmd8ikSE+Jvlpw7XIEDfaGVlhVmyX3f9aKg7LkhQsA+SN0pk29bNEhIC5UbXbpIPrXBuzkmJioqSdrBGy2Bpsuh7dHS08a3u273LqEdGjhot58+fkx3btsrAQf1kzLgJhqzLymq+eEnIdPOwzirL/6Wy7QpSkJld9QISPbaiktXd1yYaJUBrGR4jVL5GAxztbFmxSEfjEKCVyoeAVmcULNHVSxfCg1YpEycn4Oc2LAED8XAU44Hxlb7QmT79i/+TlUs+MwQaC4v1+humGLeAnc/fuLO59NtG9A8Xz6geUXIaVurbX2bJhoN5Rp/KtsdaRMXViDNSjxoM5f7GnfP6K/+Wd996w8jjfvT0T6V9ajxepAXG12785zRNjYiRmuYLRglAv2sxLFImdNw5c7rcM3u6sG1YQUGFCWrR917bMLpVPNsT+8ZI18QQWKmnZSV8q3aWFTvlMssqohUoATxGqLwVQazEgHGVihzXz7wWskeSKv2n7WGpfuux75mr4ruqsKAYD0CJWQuaYjQg1uS27eWb336sapsCbOMuMrXhNaJ/PGjXo3/RCYj+16Fn/JJdp82yn/3iNd/f9RORc4KEyaV+25QUpCEfkzWrViJDLhTWpqX6sCzamisEowZx/HAf+ecrJN/p9OoiU27irFvtlBCKiH+w9IRv9QPI5nZCAfDCsjSjX70HutUBqGzVkofnCBWos40GhxWU0iWfqyYWydMQ6GVGfbZx1fnY+zGif6QZ0482BdHfdIj+mRc+d8NJ05OqV9tw9Bbjg2xFqI0aQVcvDb4NJFKuSIjlNQMHSuiIgXI87ZT86r9/IvPefku6detpVjWGBJ2sTZtIG+uCs9pZw90QACUA2qqkRAea1uNr9+ehZc5Z2ZOWbzSrs5DWGuhYrTb4Yr30ix4jVF4/JRcmbVLTTr10OrjntOhP7Y6CG3dfmyx/XnjMdE79eGueJEZHSLhfkVlqUs4TGhYBtUIg/l2uxHqVt4IWJ/XH/JN+8+LiMqxA/E3wMjQsTM4gY45/b4Pl/OFDB6UgP18i4UutxFuvArpTyu3aREZCihfaaP82VyaUo3ZJDIUSIFj6tg+XTxCU3JuRL88tTTMJAfddlyS9U8Jr9JUrLSkyZSPppghEsLQ5Do8RqlnyOyxUOrPVQG2O06Vh52xXiu+ZEiozRibLextyZcu+E/KP4+sksvSonMg6JSHI3OnTo7MMHT5K2nfqapatrlYfNOzsvf9btDqZ7fbRvPdk7dpV8vRPfyEjhvQ1BueunYdMoHLgkCHwjYZKZwj4lyKav+TzBfLYYw+bbZZt3SKncnJkxux7Qbr+IOOGJ3jYaNFarQSxhqCGB1tWd4Zv9X2sTKhZZQfWA2i5MvPatjKxX4yU52XIli2bZOPW3ZJ7Nl9io8Jk6DV94bYYCrdFe++/AU5n6DFCZWm4MLz9fANR7giauYCgENxMRg116d+sZkwDT5atUYJx30egrfG+vbtl3it/kbXnzkhwcm+pDE0U34oiubDoQ0kMfFUen3M36rV+w6gUtIjOlQGnmyQI6aY3Tpkix48fk78++zvZgch8OZQgm9Z9CX1pe7n1tjuN1T8EvtVNg4fIO2+9hjKapSa5Y82q5ca/OnT4SLiOXCeh45Nt97JiMJIKjz6wShdBWnUQrXP++NlxWbhwgWRtek++OFggAYl9pDwAPa3KcqT0zb/JkNQg+fkzj8vYCTddGQQv2cJjhBoc6CMFGfuk8MAO8UUhjX27SmXsmCGofsQgSoGXwKGn4WoEnOPC/hDKlmUdkWMr/yV5heUSOfZp8Y1IQiQNDzGW/JUggKN7FsrPfv+CVPoGyoNzHsLStPHWkquvyRv3V1JSLl27dpXv/+ApefPVl2ThZ58Y63PwsBEy59HHjHSqqKjULO2/9+RTRsT/2ScfmUsZNmKUfGPOo8Yl0JBVQdU9rkUEYP+KcRPm+08eGCu92oXKor3F8tlnC+TtD/8s5bF9JWrMk+IbFC5+Zi74S1Bpgaxa96r8x49+IS/+NUxGQMrVHIZHCHXD+vWycMF8WTR3mZyHyLsAfvH/Pf6hrB93nYwef7MMHDrKvC0vV8y4OYDp7nM0k9Np0lb/FX+z/l9jOG9f4zOzbc2t6963JRyvHk7fdPz+0n1bW5tlH7WKWIXwWwyMrV+zQlbuzJDICf8tfkGI+JYXOTaGLAekGt3vFsnDN96fN1cm33IL/HzMzmm4zK4+D7t1AtUXU7s4qMZWtWqoa/1eDYxq33Nd51jnedRyr83Z4YXUPjlRfvGzZ6ruLq3EwhIWdK8QfyNbgtwOq8U537hXHsGPPQrRlshk4LFhWG3z6KK5RwDoyjHhZf5plAPWevPif5t5wAw9U8qxUjomhMtUBKU2vr1RysM7SsyoR6z56DQX/PyDJG70w7Jn1Z/MXOg3YKCEwRfs7cOthEp928KFn8pTTz0te3KjJbjHeAnvmWpQP5B7VPa8uVIWg2iffOZ/5NrrbzIRyDpJ9XKzvBEo1yAlx6Sp7VC1Tfpat7uYmaof1UsewksIsJYdVtEXPrOaq1kTt4ITlAWB8Xf+joE+/r3SFAm2OiKY39l/d2zDIDq/a33HkllZ37Uat9m/r9rG8bm9f/N51e+ql3RV+7nocxIqe9z6+AXI+VMoQP35JglqO1D8gqOrHyD7/rG0kX+gBCX1klO5B2X7xvUy5bbbLlqGXvQqqGNe8NfmQXY88Dx/60F3PPQ8T3sb83soDAwZWNtZJOD4Pj7gfqp+Z29TRSb29pZ25ZJ9cHtzrOpzsPIaLCyrz7GajK50LtXn6Dhf7s35PLlX829rn9XHtq7bxsLMJ3Mmju25rX0NjntnPjf3vBY8LyJQ66ouT7C+AUFy6ugO2X88R8JSB8EgDZbKUmeRFsHCCzYwXMLaD5S9x/fL0SMHpU+/axrxpNfvq19//bX8+9//lgMHDtSw1mORdvutb31LBgwYcNkduZVQi4ry5UfP/Ez2lvWU2EkPiX+bJNwYy0cT1H64lHUZLV+t+5c8+/tfybBRY4yg+OLmci7lUeedOcjEEAcJBWxUTSxW5XJnQjL/NgRmkZH9ufU7x2dVn9vbXvSnM6k5trWrpFvkyPNwOq7jOPYx7Tc/z8u2/mzitMjBehoMsdoPseOY9kPlTArWd2s+cNaDV03I5ns1CMUmbuvBsQqvVBNB1bEdv6sy/PyQaHAmXc6knRWJ7mTVhatl+MCS8gX5niz0l3lrj8iRoHQzJ2xCIBOYa+U5mct1EIqDGGojrSoSdZBYzX87EadNthdtxwutIlcnMrIQqCYn61+XkomhIXvfjs+ricf6vr0jmwCrSMmxof37qv3bx3Xs2/k8rK9YBzTHxby3Sb76uPY5WTWKuaF9jjX3VdPydL6Wi2/fxSuVuj73CwyRvMMZknGqTPxSYXU6OOGS6YDfV/qHynkoAgvyWTDd/ePw4cOydOlS6dmzJ/zNQ6oOeOrUKfnjH/8oU+Cnvuuuu+o8kXoTql0782IfC/0utVUsYim4V155FcWGSyRq4v3iFxYjF0qqQUEzafEPi5eoIffLkaX/Jb//6wvS//pZcgFl/SugZavAE8OH03Zqk2iqLSsHoTmRnllSOIiNE6OK8BwEwX9XE4VFJObhrLI2+Ba2LYxLrQmLoGpaKdYb235721aIPXmdLAcHwTlbPdUkVP3WtwnTEJXZcTVh8DNO2BqWMre5jIV2yV2vsfys+SmX9bT97OW9+dOxtLz4987bms3s7VhEnL+AZsb6vXVA8zncPEERkVIcHinnTh+VEOohK/lTczlPS7ay5JwU5J2UvXmRkoZOnHwJOzjOIgqz3LRZyLoO+5/OpGaObV+ms+6yxgfWBvZ1OKNyKUHUtI7rs2qpLbmoNpG8AzZHgRsDIX5QDNz5T+IKyLhkr/EZfsfjVG9rbefnKN3Iknr8jGmm1jZO++Y++W8gwFtCTbD5nMdx/M581xQmxw9vr9nOutdmn457bR3D2jevh+U6rfNynLeZGqy1GiS5aaXyTt5q2XgmQ4J8WZ2KOmrne8ovYi7kZ0pKRz/TWNITg9fVqVMnmTVrlowbN67GIV955RX55JNPpC26WYweXbtPt16EShJ94YUXzI8RDztmCSf1oEGD5Mc//rE5CeeJwpzgRUuWiX9iPyzvUFiBVWxrDC4xysU/pI34xveReR8vklVFyOQIQCdOWC+2hVX1oJDQeJccJFb1p/Mb2vFgXPSsVd+miz9w3Hj7oa969hxPmP34VJFM1e8dD6FNGGZC2b+zJhvf+3YtUk4i6xjVE4xJY5ywNmlZk9b+rtPf7QlZRVqXEp+Z7I5zsMmNO6smuur91jieE4FWY1BNgjbRVH1mP3j403pYrIfQPNw8vv3AOv40D5xNCix8HJwg6WHXysK3/iwFxzZJaPtBxm9qsSF37i8l57Kl8PAqGZASJbdPnWjSIn19qGu0sbOOw307k4r9IDtvR4x5J6rJpBr/atKwz9uxneN8zTEcmFYRkv2ZM9HZZFZFSNX7qXn9DiyccTL7qb4u69448HcC3/zGcf+r5qjT3HNy/1Y9YdbHjr1d/N2L93e54zrNbef9VZ1e1b6rj3XJvHGcVdV14OQqkHhQdnSgrH32IylMGighCV0cq5bquVCU/ZWUndggw6dNRjZgx6prc+dfOF+ZQZgPne7FY+bMmbJhwwb5+OOPzdI/IuLSrK96ESqtU5q8/fv3lx/+8IcSE2OVfONS7M0335T/9//+n/zyl7+Ujh1rXrQBsKYhUScWQQF+Eo/sGX9UCq+E5WK/5cyDYh58686Zh8Npott/r3pwHMRkPQTVD7rz29SQgeMNbraxScH+neOB5XbcD/80BGj/Hv/g259V0e0//bFDJn/44kD2Q8LPaloGDhLiddRmAdSyfZVF4fS2r7IwHJaCTSyEqGq/5u/OJFG3lVJlZVRZMNWWjE2I9sug6oF2vpP2y6T6ca75N/tznGDRLdPlhagM+eXfXpC8gjslBLIpaOnM9uX5J6Vo/2cyNuWc/OH//k/6XQN/u505Zb+xnB9OpyfXcYhaj2v98iLfaw2icOcjqvuuDQF/PDwzZt8jO3fvkdc+/5uU9ZkpQTEdLBMXL9iSM8ekcvd7ct/ELjJz9n1VGV5NiSZLZHbu3FnoFiAfNphQeREspBEXFycdOnQw2Rb2uA1Bg82bN0t2dnYNQqVZP+nGibL4f56T8uJ8CYqE5Vnu7DcjqflLaUGeVObukad+8JhMm4k3VUgQCNQqtgCOBWGxXbKTdXKJZeJYhtjMevEDd6U7cAkZXOkL+nljEAhqEy6PP/4ECmMnyZtvvy85WTsk70KEBEqZRPuclkETO8v3vvu/0qNnL+swjlTJxhxTv+udCCSiz9mvf/s76djpeVmA1uVnM6KksDJUQn0KJcrnrEx6+Eb59qOPmsaT3jKSk5Pl9OnTddbBqJeFal8MSfViVj6HqvDUv9lWa/W20BE++ID844WXZe+m1yV25EPih6BUlQMa/pHyvDTJ2/y6DGzfRp76/hwEeFHQU0eLRyAwKFjuf+Abcvfd98jGDeslMzPT6CT79u0nqSyCraPVIMCC1s/813/Jd77zbdmCWq1nzpxBHddoGTx4MOr5xnkdDqYiF37qSjipF6Ga/Hssvb744gt5+umnTXV4Dpb8Wg+N6YMPPojCC90uufiQkHD53f/+XJ76MWRTi34lfl3HSEhsB+MyKz71tVQcWi0DkgvkN7/6nfih3JyO1oUAu7GOGj2mdV20Xm2tCLANy4QbvD8jii9/jkjUPaht1ItQ7S+SmfkGKSpyiLHxAYn2pZdekhEjRhhL1Xn4wtc45ZapcBUkyOeLPpWFS9fI0a+WGx/oNeiQOfmxG+XGybfI0KFDdZopAoqAIuDVCBxFY8O0tDQZPny4xMfX3iOtXoRqd0ucOHGi/PrXv64RzT948KB8+9vflgULFpg/6Ra4eAwH2fJn1qx9cvzY1+b7HTp2RjfFHl4NoJ6cIuCMAH1nn3/+uSQmJsr48eNrgEM5DQO0HAMRwX7yySeRX1/twmIA94033kCiy0KjlLn11lvh8ri7xj644nv99dfNMfgcTZ061ch36hrr1q2TXbt2yeTJiIIjX19H4xEg15Gf2KHAeZw9e9boUHlfJk2aVOeB6kWo9rdpmTK6xeCUPVJQxJb+Dv6e8qraCNXetjsCDfzRoQgQgX379plJyjc/B0nhqaeekh49vO9FyweNhPib3/xGnnnmmSpCJVG+9957yEv/TG644QYTjV6xYoX87ne/kx/96EeGVLmqY/bNjh07DJHy30uWLDG+uG9+85vm2vk77n/37t1V25BYuQ1darWNPXv2GF0kpYtKqK55pqirp5H4n//5n5KQUB0M40tw1KhRcs899wg5r65xVYTqB6mD81uXO+UNJ9F2R+9ufq5DEbgSAgUohvOXv/xFVq5cKXPmzDE9jmyC/elPfyo333yz3HfffV41nxgreP7559EOpKBGTvnOnTtl0aJFwtWbTY59+vQxbrA1a9aY3zP2wGvlCm7ChAnmWj/88ENZvHixcZX17t3bbLt69WqU1HtMxo0bZ7aZN2+eLFu2TIYNG2a2uXjwWWSQ2DmxhhrKEmjAbQvL1oYXFhaaQAq/Yxs9vBb+jtu6sp34le6/N3/OlxPvM1cjzlmbDJpSexoeHn7Z0683oXI5cvLkScPezGvloEXKtzFvFicB2V2HInA5BOhznz9/viEPBjht8uB3SD4kAJINJy+Xzt4w9u7dayxBLsG5EqMRYY9Dhw4ZMrKJkr/v16+fSXThszF27Fg5ceKEcRM4xwqY1rhx40ZDtr169ZJjaFVCSQ5Xe/bg9pQkrl27tlZCtbezSZN56HwhkVRpIW/btk2+/PJL6dKli7Ggjx8/buRqTzzxhCGLv//970ZhwWP+/Oc/NxlArX2wAAvvX0NHvQiVyxiav8wQeOQRVIZxEllzYvzkJz+5RNTf0BPS77VsBOjUp++P5OlMpvZV02d4/fXX16oaaQpkzp8/L3PnzjUkeu+998qrr75aJZnhyyEvL89YrLaVzXPk80LCysjIMATMrBtqt5312yRh7jM9Pd0YJPY2zrJEWpJc/RGzugaPxe+QTGkBU4Hzhz/8wZAjrV6+nG6//XaT5Zibmyv/BYnS7NmzDam+/PLLxkj67W9/a34YH7EVPE2BdUs4Zr0IlTf/UQhsuTy7uLEbP7P71LQEQPQa3IsALSIuNZ0LTzgfkf55Zx+9e8/m8nvncpiWNInoe9/7nnFBcKVW23DWJTo3waurR5a9TW0N8+z9O29T2zFtw4ZWLt0O9KP+HzLMbEkPV5BU3jCIQoOIP9dee615hu+44w5jNfOH7rr9+/cbUldCbdyMqxeh2ofghFI/aeMAb+3fZrQ0B+02msOgf5S527ToqLOmNUd/o+1Hs/XZVU3unC7qYsKsrSDK1WxTG1706zGwR4UN3QX0SzvrI0nmtJydX1BMwElNTa1y29kGkj7XrpmRV0Worjmk7qU1I0AS4BLV2x9gWtGMutPNxeU75U60VEmw9JtGI5uHlh8Jlp87r9y4YmPwh5/RHWBXwuc29nVzG35OPPg5f5h1WNc2tc0ZEiZJ+f777zff5xKeVqqzSsJUWHPqJGt3ltXusu55CpVQ3YOr7rUOBLjspC+RgZraBpedjIhz6Xmx1tOToNKi5PFJ/iRXLp+53CfhkUD5b27D66EPlEElO/2axEj/aN++aO0BC5FWIwNEdHe0a9fOXAZ9q9wXtyH5chtKprKysqpkObTkSXwsSlTboH+Vn1FqRnKmyoC+0BdffFHdcJ6cLE7HUkJtIuBb62FZXIcVexjppyDdOZhDTBiV/v3vfy8PPfRQk0JEQqd8iz/2YAGgX/3qV0b3SR8kB5UIDFpRn0qtKWMKvLYjR45U6UcZRadEivU0GYUnIXMb/jlmjJV6y4g+Cxu/9tprRudK8uY2JF17m9oAIXGTeKmKYEDvueeekw8++EDuvPNOs/nFlmhtPtuLrdgmBb6ZH1wJtZnfwOZ2+lzizpgxw1hsJE36/Wy5Dn/3z3/+0+gubcLypuujNpFWISP/9qDvkiUtSaiUSDEyz2tkjWC+ODhohT7++OPypz/9ySgbSJKUSn3/+9+v8nnS0mTk/dlnn63ahnpWBsPqyhu3ydEmzenTpxsrlzpK+nxp+V5MoHURal3FPrwJ/+ZwLkqozeEutbBzpJXKaPRbb70lDzzwQFUxX7oCSLI33XTTFQXUTQEJCfJnP/vZJWmJFN2TCKlXJTExcu7sx6S/lPnftLxpufLf1Kk6Z9zwdxT5ExdKoPhvHu9y2lDqYknQdkYPyZwpr7SkSfSsT8yovnPGDy1XtvGwA1U8DuVWTAa4uGJcU2Dc3I+phNrc72AzPX8+8LTIqJG0pUhcZjMC7a2DFp/tA734HJnsct1111321Pndur5vf5FBpfqmkTIwxh/nQVJ0JsaLrduLSZN+YL4AdLgGASVU1+Coe2kAArYV1oCv6lcUAa9EQAnVK2+LnpQioAg0RwSUUJvjXdNzVgQUAa9EQAnVK2+LnpQioAg0RwSUUJvjXdNzVgQUAa9EQAnVK2+LnpQioAg0RwSUUJvjXdNzVgQUAa9EQAnVK2+LnpQioAg0RwT+PwvhVacq5aTbAAAAAElFTkSuQmCC)
Let C be position of station 1 and D of station 2 and BC = x.
Given, CD = 4000 km
Now, in triangle ABC,
∠ACB = 60°
We know,
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
⇒ AB = √3BC
⇒ AB = x√3 ……… (1)
And, in triangle ABD,
∠ADB = 30°
We know,
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
……… (2)
Now, equating (1) & (2), we get–
![](data:image/png;base64,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)
⇒ 3 x = x + 4000
⇒ 3x – x = 4000
⇒ 2x = 4000
⇒ x = 2000
And distance between the satellite and earth(AB) = x√3
= 2000(1.732)
= 3464 km
∴ Distance between the satellite and earth = 3464 km
Question 16.From the top of a tower of height 60 m, the angles of depression of the top and the bottom of a building are observed to be 30° and 60° respectively. Find the height of the building.
Answer:![](data:image/png;base64,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)
Here, AB is tower and EC is building.
Given, AB = 60 m and EC = ?
In triangle ABC,
Let AB = x
⇒ BD = 60 – x
And, ∠ ACB = ∠OAC (alternate angles are equal)
∠ACB = 30°
We know,
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
⇒ BC = x √3 ……… (1)
In triangle ADE,
∠ AED = ∠OAE (alternate angles are equal)
∠AED = 60°
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
……… (2)
∵ BC = DE
⇒ equation (1) = equation (2)
![](data:image/png;base64,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)
⇒ 3x = 60
⇒ x = 20 m
∵ CE = BD and BD = 60–x.
⇒ CE = 60 – 20 = 40 m
∴ Height of the building = 40 m.
Question 17.From the top and foot of a 40 m high tower, the angles of elevation of the top of a lighthouse are found to be 30° and 60° respectively. Find the height of the lighthouse. Also find the distance of the top of the lighthouse from the foot of the tower.
Answer:![](data:image/png;base64,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)
Given, CE = 40 m
Let AB = x and BD = CE = 40 m
In triangle ABC ,
∠ACB = 30°
We know,
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
⇒ BC = x√3 ……… (1)
And, in triangle ADE,
∠AED = 60°
We know,
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
……… (2)
∵ BC = DE
⇒ equation (1) = equation (2)
![](data:image/png;base64,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)
⇒ 3 x = x + 40
⇒ 2x = 40
⇒ x = 20
∴ Height of the tower = 40 + x
= 40 + 20
= 60 m
And, from (2)–
DE = BC
= x√3
= 20√3
And, in triangle ADE,
Also we know,
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
⇒ AE = 40√3 m
∴ the height of the lighthouse is 60 m and the distance of the top of the lighthouse from the foot of the tower is 40√3 m.
Question 18.The angle of elevation of a hovering helicopter as seen from a point 45 m above a lake is 30° and the angle of depression of its reflection in the lake, as seen from the same point and at the same time, is 60°. Find the distance of the helicopter from the surface of the lake.
Answer:![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAdgAAAEqCAYAAAC2g0GLAAAAAXNSR0IArs4c6QAAAAlwSFlzAAAOxAAADsQBlSsOGwAAABl0RVh0U29mdHdhcmUATWljcm9zb2Z0IE9mZmljZX/tNXEAAP+QSURBVHhe7J0FgFbV1oYXMDMMMEO3KKKIiIggooLY3d3d3d0d1+7u7u5W7A5ABES6uyeA/3nOzIcDP0j3OfeOM8yc75y91957vatX1jSuSK+UAikFUgqkFEgpkFJgoVIga6E+LX1YSoGUAikFUgqkFEgpkFAgBdh0I6QUSCmQUiClQEqBRUCBFGAXAVHTR6YUSCmQUiClQEqBFGDTPZBSIKXAUkuBPn36xKOPPhpDhw6dYYw1atSIww47LJo1a7bUjj0dWEqBFGDTPZBSIKXAUkuBXr16xddffx0HHHBArL766tPHmZOTE3Xr1l1qx50OLKVA6oNN90BKgZQCSzUFKlSoEI0bN44tt9wy+Z5eKQWWJQqkGuyytFrpWFMKrGAUMIuwXLlyIdCmV0qBZY0CKcAuayuWjjelwApEgaysrBg0aFA8//zzsdJKKyUzL1++fLRq1SqaN2++AlEineqySIEUYJfFVUvHnFJgBaGA2uuECROiZ8+eMXr06GTWarMZsF1ByJBOcxmlQAqwy+jCpcNOKbAiUKCoqCjWWGONuOyyy6J+/forwpTTOS5HFEgBdjlazHQqKQWWdgr07/tPjB83NmrWrBV1GzSaq+FOnjw5Ro4cmQLsXFErvWlpokAKsEvTaqRjSSmwnFLg048/iKdfeC26D54cYwuzolZuUbRsXCOOOuzAaNVm/dnOWnNwxYoVE79reqUUWNYokALssrZi6XhTCixjFHjumafi9CvviyF1tosqK60T5fKyokdxQXzy1dfxfqez4v6bL4vNNt9ylrNq165drLXWWlG1atVlbNbpcFMKpLWI0z2QUiClwCKkwJDBg+LW+5+JEU0OiDpN2kVMLeZtUyPKVYjKNfeLv36vHHfe+1Cst17byK9a7f+NRO3Vr/RKKbAsUiDVYJfFVUvHnFJgGaHAj999HcOjTlSpR0nDKUUR0wRYrylgbE7krdw6eg7vFX92+SM2aN9xGZlVOsyUAnNHgRRg545O6V0pBVIKzAcFxhdMi0mFxVEuaDtdjgfM0H265Bfl/UoLScwHddOPLO0USAF2aV+hdHwpBZZBCvQcPDG++GtsfNCnfowb1j+Kq3aO7NXRUDENl5s2NaaVrxBTp06L8f98F2utkRUt1m61DM4yHXJKgf+mQAqw6Q5JKZBSYKFQYPzkKfFrn3Hx8R8j4+vuY2Ji4ZRoulL9OOaow+PlZx6OfuOGRv7KbSIru2IUTp4Q43t+GetV6R6nn3pNVK5SZaGMIX1ISoGliQIpwC5Nq5GOJaXAMkiBvsMnx1cA6ud/jorfAdi83Kxo3TgvNm5WLVo3qRY18o6InTo0ixdfeiU6dXkr+o6aEi0bZMd2uzeJgw88LZo2S0seLoPLng55LiiQAuxcECm9JaVASoEZKVA0ZVoCph93HhXf9BgdQ0YXRsOaFWPf9vWiA8DauHalqFKxQkwumhqTC4uifceNY/2NNo4bn/s+Xv6qd5y4b6s4ZOsUWNN9tXxTIAXY5Xt909mlFFioFBgypjB++HsswDoyfvlnXFSg/sOaK1WJ/QDW9VerGjXzsvlduRCAJxRMmf7uiROLopjsnLyaK0WlukQPV097uS7UhUkftlRSIAXYpXJZ0kGlFFi6KNC53/jo9Ofo6NRtdPQaOinqVc+JbVrVjA5rVo81G1TGLFwhAdUpBC75fVaXreemFBeSClsQxcWk7KRXSoHlnAIpwC7nC5xOL6XA/FJg3KTiUm11VPzYa2xMRCNtWr9yHLf1StFu9apRv3rFyMkqHwWYgScVop6mV0qBlAIzUCAF2HRDpBRIKTADBXoMmhjf9hwTn2AG7jZwQtSokhNtVs2PTVvUiJaNqkTVSllJOmvxFIH1XzNwSsaUAikFZqRACrDpjkgpkFIgCnGQ6lv9rOuo+A5wHTK2MJrWrRwHdWwQG61h0FJuVMwuz33TkntnbQROCZlSIKVAWQqkAJvuh5QCKzAFBo4qiK//Gh0foq3+OWBC5FQoF2s3yosjtlgpWq2clwQtEbOUgGpqBl6BN0o69fmiQAqw80W29EMpBZZdChQThGRBCAOWvuRrwMjJsQppNTu3qRMbE7S0er1KUSmnPFG/Biyhrabq6rK72OnIlygFUoBdouRPX55SYPFRYBhm3297jImPqLTUBW21CHPv2vhU99moXqxLYQiDljLaqvmr6ZVSIKXAglEgBdgFo1/66ZQCSzUFTJsxUKlTtzHxKWbg/mirdarmxKbNq8cmzWtEs4aVo0pOhcSnmmqrS/VSpoNbBimQAuwyuGjpkFMKzIkCoycUx/cELX3SeQTm4PFhneC1KAhxTJtG0aZJfqxM1aXy5colZuA0aGlO1Ez/nlJg/iiQAuz80S39VEqBpY4C+kotAtGp26j44PeR0Y8awVUoANEWQN2MFJs1G1aJ6pVLUmwSUE2dq0vdGqYDWr4okALs8rWe6WxWQAqonf5G0NInXagL3H10jJpYHGvUI8Vmk/qUL6wWTermJr5VlNUoSIB1BSRSOuWUAkuAAinALgGip69MKbAwKDCAFJsvKV/4EWbgHoMmRTnqAq/fpGqirbbAHFwbX2tJ6cKpQTxTeqUUSCmwmCmQAuxiJnj6upQCC0IBc1G7D5oQH3cZGZ93HR0jxhUm0b+7tK2d1AU2xcbyhZp/0ypLC0Lp9LMpBRacAinALjgN0yekFFjkFBgGkH7fYyza6sikTVwRmmmrVfLigA71Y91V86IhIDsVULVjjbWB0yulQEqBJU+BFGCX/BqkI0gpMEsK2JWm97BJSd7qZzQzHziygDrAFWKLtWsmBSGa0cUmn39jAU76rqZXSoGUAksXBVKAXbrWIx1NSoEYNaEILXV8fAiwfttzNBrptKSLzeGbNUy62DQqTbGZkpiBU2BNt0xKgaWVAinALq0rk45rhaNAH7RVNdXPKbjfnaClXIrrW2i/fbPqdLHJixp5WTGF5jVFU9MUmxVuc6QTXiYpkALsMrls6aCXFwqMmzSFIvvj4wO0VYvuj59cTNBSbuzfoV5s2JQuNnXoYkPQktHAqba6vKx6Oo8VhQIpwK4oK53Oc6miQH/8qeasqq3+1nc8kb/lqAecHx2aVYs2jatGrfxsCkKUBC2l/tWlaunSwaQUmGsKpAA716RKb0wpsGAUMLrXlnBGAn/dfUwMG1OQ5Kru3q5ObIS2uhrFIapULE/e6rSkIER6pRRIKbBsUyAF2GV7/dLRLwMUGDKmkGbmFNun0tJPvcZFecoqrUmR/b02qBPrr14taqOtViitC5yagZeBBU2HmFJgLimQAuxcEiq9LaXAvFDAsoRqq59QEOIbtNV/CGCqA5Bu26pmbETQ0pqlKTZqq/pXi9P6hfNC3vTelALLBAVSgF0mlikd5LJCgdHUAf6p19j4kGL7P/Dd5uar160Ux265UrRrWjXqYRKuSHRwIbULU211WVnVdJwpBeaPAinAzh/d0k+lFJiBAj0HT4wvuo2OL/nq2n981MzPSQKWNjbFZuW8yKMgxFQ0VYtCpMCabp6UAisGBVKAXTHWOZ3lIqDAZIo8/Nyb8oVoq9/jYx1JD9ZV61SKwzdvmKTYWBAil2bmRgGn5QsXwQKkj0wpsJRTIAXYpXyB0uEtfRToP3JyfENd4E+IBu7cb3xUwuSrlrpJ8+pJM/NqlbOT9nCagScWUBkivVIKpBRYISmQAuwKuezppOeVApp3f+k9Lslb/brHmOg/oiBWrp0bu69fJ6m0ZBebSjklvlXbw6UxS/NK4fT+lALLHwVSgF3+1jSd0UKkgHWBzVn9GG31NwDW9NS16LW61wZ1Yz16r9aumh3ZFcolJuDUt7oQCZ8+KqXAckCBFGCXg0VMp7DwKdCl/4SkdOGnXUdGryGTo1717NhkrRqYgWtE85UsCJEJWiIamEjh9EopkFIgpcDMFEgBNt0TKQVKKaC/VPPvZ4DqT3+PC1NumqOtHrMVKTZ0sVmpRsXIQlvVDJwGLaXbJqVASoE5USAF2DlRKP37ck8Be66aXmMJw7+HTEy001ar5Mfm9F1tAcBWr1xyTPStTqZ1XHqlFEgpkFJgbiiQAuzcUCm9Z7mjgKkzFoT47M/R8S0+1uHjCpNApX3b16MucPUk3cYC/BaKKEyDlpa79U8nlFJgcVAgBdjFQeX0HUsNBQbSxeYrutiorXYfNDHIpkm62By5RUNSbapEHSoteRUSzZRqq0vNsqUDSSmwTFIgBdhlctnSQc8LBexM04V81c+7jo4vaGg+dGxhrEQRiB1a146OpNishuaaS4qNqTgCa5piMy/UTe9NKZBSYHYUSAE23RvLLQWGjS2Kb3uorY5KAFbwXAff6r40M1drbVi9YjJ3fatp0NJyuw3SiaUUWGIUSAF2iZE+ffGioIDdaboPmoCmCrD+MTJsFVczLys2I8Vm07WqR9P6lSMvlxQbYpUSbXVRDCJ9ZkqBlAIpBaBACrDpNlguKDCaghA//TOOghCjkt6rptxYEGKXtrWjLQUhGtXKZZ4lxfbVVlNgXS6WPZ1ESoGlmgIpwC7Vy5MO7r8ooK/UPqud0FY/7jwieg+bnPhSLbS/eYsasQbaak16sBoJXJRqq+lmSimQUmAxUyAF2MVM8PR1C06B8ZOnRBdawlm+sBP5q+MmTUnqAu+Hb7X9GtVjFX62IIRBS2mx/QWnd/qElAIpBeaPAinAzh/d0k8tAQqYYvM1QUufYAbuSinDChUi2qyaHx3XtOdqftSthrZqz1U01oK0IMQSWKH0lSkFUgqUpUAKsOl+WKopYEGIHjQz/5Ceq51IsTEy2AL7O69XOzoArKvVrRSVK5ZPzMBpsf2leinTwaUUWOEokALsCrfky8aEhxL9a3u4D/8YQcWlcUlQUvOGlWOvjeoRtJQf9UtTbKagsabAumysaTrKlAIrGgVSgF3RVnwpnu9UopZ6Dp4Un3YZGZ+jrfYhaCm/UlZs1bJmdKAgRDMAtir/LiYUOA1aWooXMh1aSoGUAgkFUoBNN8ISp4A9V//oOz4+wAz8Xc8xSX7qKqTVHEH5wnarVUuqLtlzVf/qpMIpS3y86QBSCqQUSCkwNxRIAXZuqJTes0go0GsIKTb0XLV8YbcBE9FWKyRt4TZGW225cl5Ur5IVU9BqDVpK6wIvkiVIH5pSIKXAIqRACrCLkLjpo/8/BUybSbRVqix9j7Y6emIRJQtz48CO9RNwXZUUG3NZi+i5aoBTeqUUSCmQUmBZpUAKsMvqyi1j4+43YnJ8C6B+1mVU/N5nXFTKyUq612xMJHBrUm1qVMmOcrS2SYOWlrGFTYebUiClwGwpkAJsujkWGQXUQv+gyL6t4fStDhxVkBTY332Dukm1pTXqVY5KNDe32H7x1LSLzSJbiPTBKQVSCiwRCqQAu0TIvny/dBjt4ATUj/4YlaTalC8fsVbDKrH3BvVivdXyo1ZedmTTzFwAToOWlu+9kM4upcCKTIEUYFfk1V+IczdP9U/KF35Kz9WvCFz6e8jEJFd1u1Y1YyOCliy8XxnfqiZgvyYXpuX2FyL500elFEgpsBRSIAXYpXBRlqUhWQf4h15jkkpLP/ceGxOoE9ysQZU4YZtGsf5qVaMBIJuTVZ6ApSlp0NKytLDpWFMKpBRYYAqkALvAJFwxH/DP0EnxJZrqpwQt/TVwQlStnEWFpWrUBa4WrWhmXgXfqkFLFoSYmOaurpibJJ11SoEVnAIpwK7gG2Bepl8AWP7499j4rOuoJMVmKHWBV6tXKQ7cuH5ssEa1aFKnEtpqOQpF0B6OwCXbyaVXSoGUAikFVlQKpAC7oq78PMx7KEFL9lw1GvjPAROiPKppq1WqxGGbNYx10VZr5mURyFQuaWQ+KfWtzgNl01tTCqQUWJ4pkALs8ry6CzA3e6n+Rr5qp7/GJJWW+o2cHCvXzI3tW9eKjgQtNW1QOXKzyyc9V4uotDQNrTW9UgqkFEgpkFLgXwqkAJvuhhkoMGZicalvdWT82md8TKLyUqtV8mKPdnVjPbrY1KueExXQYK0XrMaaXikFUgqkFEgpMGsKpACb7oywi02PQZMSTfXTriOjL11sqmP27dCsWmy2Vs1Yky42ebkVEp+qvtWi1Lma7pqUAikFUgrMkQIpwM6RRMvvDeNIqTFY6TNyV3/4e0yMnVRMz9UqcSi+VSstNapVMSrgW7WZuYFL2dnZlDiMpDdrYcFUivAXz0CcihXRbiuU/L1gcjHm4xINtzyVJipWzEqiigvQiKdMSTviLL+7Kp1ZSoGUAhkKpAC7gu0Flc8+w+liQ9DSx/Rd/QdttSKRv+s1qRqbNi8pCFGTSkveV2gJQ8C1HMgouPbt0zv5qlixYrRo2SqqVKkShYWFCYDmUFu4+1/dY/CggVGpcuVotW4bwBatl/8Vcc+vv/zE96Jo2apVVK5cJQXZFWzfpdNNKbAiUiAF2BVk1e1i8wtBS19YaanbKLrYFMeqdSvFXtQF7kCKzSqlKTYGLZmOk7ECC64C5Y/ffxsP339P5FauFOPHjY9VmzSJw448LlZqtBL3louPP/wwnnvq8aiSn5eA7BZbbhuHHX0c1J0aH3/wXnz80fsxFcBu33uT2GX3PQHkinwuDYxaQbZfOs2UAiskBVKAXQTLXlRUFJMnT478/PxF8PS5fyQ4GcPGT4svuw6Lj0mx6UZBCM20behe0xFttWWjvKhXLSfxwaqpFhT9f8BTOx02dGg8/8yTsekWW8XxxxwWI8YVxYXnnBHvv/NmHH38idG1S+d45olHY/+DDo29d9s+OvccEDddd2V80+nzWH/D9vF3j+5x0KFHRPXqNeK1l1+I0aNGRf0GDVMtdu6XMr0zpUBKgWWQAinALoJFu/HGG+Ott96Km266KTp06LAI3vDfj+zerVtcceUVMXRiVlRqfXBMrrxK5GcXx05talNpqXqiuWbqAs+p56r+0vyq+XHWeRdH9Zo1o5BXV8jKiqysCnzH4crVtcsfUbtOnWgHmI6eHNGgQYNovd768dEH70bHzTaPLbbZPh64946YNHFSHHnM8VGvfoMUXBf7rkhfmFIgpcDipkAKsAuZ4j/99FP07ds31l9//Xj++eeT7zk5RAYthssuNr/0mRx3PfJZvPnsc8kbK3//c5x2yU1x2B5bRv2qWWirBCeh2c4JWMsONzs7Jxo0bBCFRcXx0guvxqsvvRA5+GF32mWPJKhp3NixUSUvL5mnJmaDm6YCzGq+EyZMjHVbt4477nlo+iPTIKfFsBnSV6QUSCmwxCmQAuxCXoLXXnstGjduHFtvvXXceuut8ddff8U666yzkN/y7+M07fakc83n+FY/6TIiBo2ZErVW2ij2OObi+OjZ22LcoK7x86u3xPlH7hAFhUb2zrvfU19pIQFKfl955VVjn/0PwuzbI958/ZXY94CDiTQu0WTLXt6r/9bvxcVTpkcUp37XRbYVlvoHux+yENbKZ+cm3xfWNQqXw5AhQ2LSpEkzPNLAvCbEChiMl14pBZYEBVKAXYhU79+/f/z9999x3HHHRbt27QCjlePZZ5+Nli1bJmCzMK9RE4rjd4KW9K1+02NMUvRhNRqYH9qxVrRfs1Y0aXBV7Njz2/j804+id7+BSbWl+b0McsqtVIHUnGmxbps20aF9m/jmu1/jiovPi7brt0u02bIpO+XKlU+ijrPRaLMwJ3ulwDq/1F/2P+fer1wlGwEvYvTQfjFhUO8YMzybidVY4MlpDbnlllviQ4Ls1lprrRmeV61atTjppJNijTXWWOD3pA9IKTA/FEgBdn6oNpvPaBKuWrVqrLbaajF69OhoRUrK448/Ht27d48111xzobzJLjb2W7WLTfdBE6NSxfKxwepVCVqqkaTY2My8CC2VDnEJyHllvs/PAARXU3Nef+XF2G3PfaLF2qsnea4jhw+P3NxKUY3ApZUQJD756IPkvg3brBVDxhTFICKJW6/XFu2hchRhWk6vFZMCmRSvTz78LJ55+on45vdeMXjU5Li5c1789m7LOOrooxMBdH4vAVbh7cADD4xTTz11fh+Tfi6lwCKhQAqwC4msw4YNiy+++CJGjBgR55xzzvQgnqH4Ib/66qsFAtjxFIToRpH99/8YGV//NSrGTpwSDWrkxH7t69HMnBSb2rlJXWDNxbaGm1lbXlCfZ40aNWP8+HFxxy03xA477ZpESH/0/jux3Y47A66rJEFL77/zVtxw3VVxwEEHx2+//hpDBg+MQw4/OjFJp9rrQtpky9hj3Ie5udnx/NNPxwVnnRojJudFdpMNIqdB3egyom90vvPpeO+dN+LBhx+PjptsMt+zUwhcXHEO8z3I9IMrJAVSgF1Iy/7ZZ59FTaJs77333qhXr17yVFNcHn300fj8889jhx12SKJrM9eU4qL4k2jfSRMmEEDUMBoBVDNfA0YWJO3hPsK3+mvv8Unj8pYr58UmRAKvu2pe1KlakmJjwaRJhSVVk0wt1Rz3R+ee0a9v7+R3eQuQLiQ4V8XUds4Fl8YrLz6Hpvp+8sw99tk/tthqG/yrxTDR3Ljw0quSVJ0P338Pc3KlOPXM85JUnKIi445XvOv/OQTmwkMw4y2l/5rx22wJOcNn/+NdczGMGd8x2/f/95P8q5HmQwYPiZtvvD5GVFwrau50dmTl149pbNjKnI2i4T2i2/tXx/XXXx/Pr7fefPlKPWOmxb388ssxYMCAGcberFmz2HPPPefruSvejk1nvCgokALsQqDq4MGD46WXXoq2bdtGQ8Cy7GWw04svvhivvvpqnHjiiSDglHj40SfihdfejX4Dh8X4SQVRLXdarNeiSZx++hnRYt120XPwxPjw92EU3R8TA0cVRO38nNi1bZ1oT0GIpvUrR2WamVsTeFbF9i1J2Puf3nHBOafFX93+TFJpDjvy2CjH/8pqkpqNc3JoMUfJQ0Hyvy7/rpZw2JGHRXaFw5JbJ4ObkyeXBD4ZNZzD80467cSgKFRyjSfeRHCl0mLp9S9Dnp07OrljJr49SzbOL0t+P0tISn498+dmfKfUmPHjswLE2UFI2d+X9WyXrZtR8nu1938pm/xY+u/pv+aHzM/SMnOP3/1ssmb8X/Hp37/9+9zM80vuz7y15OZ/n1s6ltL3z/Ld08dWOobSYc9cC6TsWBXsEgGPXxbzHy0oU/jSRTGFP1bIqRSvP/lU9B9bPqptKbg2pOsSeVyl78qp2yIqbXpW/NT59viSnOnttt/xX2LN5U/OWZCtX79+rL322jN8SoHWfZteKQWWFAVSgF0IlNff2qJFi9hll13+39NWWWWV2GuvvRKz7VRq9177v5vi8lsfjykAVLnaq0ZWnXVjAEyp8+dd46Ovj4oOOx4Uk5vsSkDR5FidfNV9NqoXbVerGvUpCGFd4CkyMr78Oetf9Jr+3mqVysezaNMfvvdO8ruTTzolDj30IO6PmAIj8rKf65DhIwHifwgAaRq1alRNTLkzA9+M2Mi/APVMGWG9u9k0AJCNy2BlvFOoFlUsw+Xncvwi25eWgkwpTiSgIVPOgEcmqPnfv5cw+JK/l4BGBjzKPmOG35W+P7m39Pk+N3mPIMDz/v3539+VvX/6+0rvTUAteW5mrCVznAHwSq0HU0rfgzcwsSZ4j6lQmXm6ZtN/Lv1MxvJQ9h7vK1lfSW2ZSr/7zJI1L/nuc0tSrUru599+L/POks+U/D4DgCX3ZH73LzBm7imh279jzowrmU9mjTM/JwD5/+kyw7pJraxKMezTX2Ja3qqUx6zGWmjNKIXokg0TFavVj/FZdWPQgP7zdRIzANu+ffvYf//95+sZ6YdSCiwqCqQAuxAo27x587jssstm+6SjCeTw+v333+Lex56PKeUqRX7rbaNSi11BO6FKFlY+RvX8LF568ZnY9ZD6ccCeu8dqNaZFHtrqCPJbB6PJykQTpi/jTICg9OfS35cjXWZaEb7aTzpNH8uamx0Qn/cooLzhiFLWZg/XqfHs7efGd5+/H9vvc1Rsf+h5ialaxp0wWZl3AgQlTLTkZ4HqXwApuacETDJMvESbnQnQyoKez5OvJiBRMvZ/n5EBppI5/svgS+eagEXpZ0qBLgMiZZ9RAhilwFQWAEvnVTLW0neUAaCSeZSOayagLisMlIB8Gc3UCSF7+Pv/ukpvm65VJvfO/MsymndZDXu6tj6TZq5AlLkvIwwpyP3/33kf//N+/qPYQ6B3cl85hDT/rdDl7/yu3Jbcx7+zMElkflfeey2dWeY+f2f7wuR78nsKkfBBBcBsymEOL9gwvvv4tSguKuBZua7+dDKVY+9PmjAmGlfLonZ16wU6iQsaZ7BAL08/nFJgNhRIAXYxbo1OX34T4wsojF+vaVRquRfW4gLsqBNLRgCTqtp8m4ix/aLLdx9GQbW1omBaThRhns0wf2+brv35cylgZX5XPrtyjO79U/R+7snkkVmN2sXNH46MCl91i6nFBQmAyEWnFBdGnzfRcAtGxLNvdYrPK+4XxZPGlmiLCWiWgGlZre5fTTJBt+la63SQyABGKT1nCSil8JIBgeR7KUj8+70EIDJgUPK9FAymM/8SAPC+EjAoBZAM4y8FDn9fAiYloJGAQwV/Ll/yWUFmOuCUAkvm99zx799Lxpm8q/RZPCYBlQR8pgNOGfAp/Z1AkwBVmXv9ueT3JVYI/56xSCTfHWPp34wGTwALY0FW2e+lnykBuMzcuDcBwFLAK6WXn80AbLLVSvdbWSD+9+eSuZbe8i8wl37wX6DOrElZ8P53nXxGFi8uLj4ijur9UXz2x9tRc/39Iysnj82FS6JCdkyeMDoKurwV22zbLNq0bTffJ3H8+PHRr1+/JMiw7KXp2Ij+md028/2i9IMpBeaRAinAziPBFuT2yrk5gBuSfM3VVcVgNGXatgluAF9OnTWiX88+MbZb78ip0RgQLpzBn5hhjhkGL0OVmSXaw9SCqFxr5Wi8xdFRrnhC1Fr/gKiQR8DV1CIYNgn+CdNjyacSfFI5NyaD73Wq58W6jfNjymTMzqUgkgBHqWZS8uzMO/4FqgQUShn4dKCZDjqlmlAGeMoAXAJ0yWcBueR7CVD5XfCarg1lfl8GgDLgkcw1AyyCTvLZ0vEk7yxfAqhlNK0EdGYYbwYgSz5X8u7MGDKf5TkZoCwF8lLomXEblAoAs9sbpXj1/xzD039f5oMZcCt786w+P6vPTn/MHMaTuS9RuudC855hXmUsvDPOt+QPMzyTyWRn58XVV14eF118WXz55R2Ru1KbyMqtGoXjh0fxgB/ikPY146ILL5jvPHFjCTbddNMkD/a550qql2Uu/6Z7JgXYBeFa6WcXhAIpwC4I9ebxs1tvs3XUvua66DP078hvRUs4NdjptkURgRzWcUNiq3Xqxn5HtKEzTU1weEoCniVApOmtVOsqZfiJaa9UgyGMKcoDoOWyOib3lgNYy00rnsEUmJ2dlbSP2/PR7Og/isL/TfLj7sMbx7hxk0u1xlKtLwGjjFmxREuc4V3+m/lntNASTbLMWKaPr0TDyfw9GUwZpv7vj4nt9f/x+7Km1+n3Tr+vzKdnAooZ/vn/nvtvMNEMYFPmHzPjzn+CUanZeHbboey45wLTSh/zXxOaIy7O485cVLcT8ITQuDatCx966MH4/KP34tn3f4yfev0Z265dK44946gkEr0S7Qvn93LP7b777slXeqUUWNookALsYlyRlUnFue7KS+LoM66MYb+/E7Vabj+dmU4rVyEm9v8lyvX9NA478YzYb6s1aIBeouFmTKSZnxMmPTv+6x9K1aBp04TAiskzMvdbWWlyQYXEDOllRPIq1SrEqKyS+zLXzLmrcwIJ/z7dV5l4Kcs+bFkBhMW4GVagVxUQcl6X1LWDiUIfV3+zGPpR79h912ax4+YzRtyvQCRJp7qCUCAF2MW80AfQ0q1SxZy4+tZH4rfPu0TF+i2ifFZOlBvbN4oG/h5N1ukYY2u1j5ETAFfMyAtS4nBWU8vimab3ZAA36f/KjYWGp6ZXSoFFRIHJ1EmcUowFhr1evmIe0eYlEfGa7tMrpcDySoEUYJfAyu6+9/7RoeOm8e7bb8RzL79NTmlhHHLYzlGlyZHx5O8V47EvBpOiMTX2pBm6QTCmaKRXSoFlnQKJJYY88GkEORVb4nBZn1A6/pQCc6BACrBLaIvUrd8wBNqxVGQwCvKgQ4+KipUqR16dEXHr273jsc8HJiPba8O60/NfF9ZQNRNnyilOLRtotbBekD4npcAsKKCuqh/fyxzfFGHTbbK8UyAF2CW4wuPHTyAP1GihLEy0UxJv6U5taiX5oXe83y+e/nJwUh5xDzRZL01qC3oJrP0oyj9xYkl6UH4+BQAW9KHp51MKzIkCbLJMSlNSxMOewYmfIjURz4l06d+XXQqkALsE187k+EyCvFG/mWvntrUpPVgubnunbzz+xaCEBe3Wrk4SmGQ5uvm/aBtWuVy8/upLNEMfArhWjS232Y5G6vP/xPSTKQXmlgKZSPREWFyQbTy3L0zvSymwhCmQAuwSXACl+Ey07sw1U7dtVStJybn5rb7x6GcDoxDtda92+GTnG2TLRRVa2fX6ux8A+2LyXovxb7X1tpRlTAOcluA2WCFeneiqSapXiWXYal4pxq4QS79CTzIF2CW4/GqvgqzgOquG7Fu1rJX4qm5Bk30MkLWQ+t74ZOcdZG0blhW//PQrTQDOiN9//SWZ9TYUV69es1pMnpSqsEtwG6wwry4pv1hiErbW8pzKS64whEknutxSIAXYJbi0GQ22bNDRzMPZbl1AFu31lrf7xJNfDEwKTsxL4FNFUoKqUwK2698D4pTjj47ffvkJ83NOHH/K6XHO+ZdQdGJqUpTCq6T28IzabFKwojQwZYpqR5lyh/9+7l9NfAmSM331Uk4BoTWplsWXey1VYZfyBUuHt8AUSAF2gUk4/w9IAj1KNdj/espObWon1ZDueK9vPPXloKSeriDr72aXwlNSValc/EGDgTdfez5++O6HBFy9zj7/4jjv4osSYJ1MM/exY8fw23L4ZPN5djb1Y6kAlZS5yyYYagL3FCTt6Krk5Sd/8/Lv48eNS36ukkd9WaE3VUnmfzOsAJ9MWlqUlsNMGj6kCLsCrPqKPcUUYJfg+msiFpTUYOd07Uh0cTadTQx8euLzQYn0b3Tx7PJkBc8cqjRdduE58enHH05/fLuN2seBhx4eFXPKR58+Q+LuO26JHn91S8ZhwfXDjz4uatWqnYBv185/xD38fdz4cRQJKI7jTzo9Om6+OZ1RiuIr+nc+/sgDCdAeftRx0X7jjqnJb06LmP59uh82EQxTJ2y6I5ZzCsyZsy/nBFiS08uYiGfng515bNusU3N64NNjRBfb2HpvQbZM4JPP8qtSpUB77Z5osF4NG60cRxx1ZOy+14GxSuOVY9iw8fHQ/ffEBNrUPfDoU/h3p8YN114Rjz54b5x53kXxz9+94s5bb4ytt9uBz+wZn33yWTz79ONRjybWtWvXQSP+Oi66/OqkWftbr70czddqETUB5rRt2JLcUUv5u0tTdRTKkiCnFGCX8gVLh7egFEgBdkEpuACfLxvkNLeP2XLtmkng0834ZB+nGIVpO/u2r5eUX8yitezEicUxdOjQeO+t1xLtdPiwocmjjz72xLjikvNj9GTKIuJ3/atb1xg9amScdua5MRZTr1rpyaefjbl4bJKv+P03X0WNmjVjq213IECqYmyy2ZbR+fdf4903X49Tzjwz1m65blx/1WWJBrvnPvtHterVE3N3eqUUmB0FxNNMl6MkyCklVUqB5ZwCKcAuwQXOANLMKTpzGtK2rQBZGNQtb/WJZ78aHLkVc2O7llXi95++jReeezref/ftJM/Vq07dunHciafxdWoMG1fSW1bzb7++faNP73/ik48+iN9/+yWGDBoYzZqvFSefdnaiAY8aOSJq1a4dVeh0Ulg4rcS0x+d69exBWk9xbINm6/1ejWhiUJ5m7ynAzmnl0r8nkcSJBjtTQ4iUNCkFlkMKpAC7BBc1o8H+VxTx7Ia3Y+vakQ3g3fPJkHji3R/jhdufjS/ffS4KSqtG+My99j0gjj7+5Nio/QZRUDBtevCSz1Sz/afX31G7Tp24/e67KddYGDddf1XcdvN1cfZ5l5S0u7PERamakTR9L9U6HHdOxYqxetM1kuHZFD4F1yW4kZahV2d6+ZaYiFMddhlaunSo80GBFGDng2gL6yNlfbDz88xt0GR7dvs9zrrh3Jg0qHPyiPr16sSpZ54Xm1NAoslqzSIvv2JMnFA0AzOTsRkhvMlmW8RW22wP+E6N3Eo5SV7srTdcG4PRZtViEwZYWslOzcPflTRjL58AaupvnZ9VW7E/k+kZnJT9TPF1xd4MK8DsU4BdgouciSKe2yCnWQ01d1zPUnDNiZott4k9DzwkTjpjv6iIP3bchKkxAc105kuAbLzqavHj998mjQbq1KlFo3Y0UbRf/1apUhXMw3Xi7x7dY/yEcdGgQc0YM2YqpuLCaNqsOWCcG0VFxUuQcumrl0UKKK9pFzHrOjURL4srmI55XimQAuy8Umwh3j8/QU4zv373PfeKqlXzo//EKvHJqDWj84TCePzj/gQ+lUQXz3xlzHLrrNs6vuz0aTz/9BOxz/4HxpAhg+O+u2+L9dbfIBqs1CA27NAxXn/lxXjkgXtJwzk6vvjsMyKL/ybC+MLpjdUXIinSR60gFLCmiVYQ03RSC/EKsugr8DRTgF2Ci7+gJmKHXqNGjdhrn/2SWTT/bSQVn3rHM19p4o3Yd6N6kQ3Izty03dSa6nzulDPOiWefejzOO+tUApcKSMnZMfbd/6Ck1E6jRo3ikiuujbtuvynOPv1UwLp8nHjqWZidV0802fRKKTA/FCgJciqtGpbaiOeHhOlnliEKpAC7BBdrXvNg5zTU7datSeGJiFspRvE0FZ8sQrEXebKzA9k8KjMde8IpceQxJ5RWbsoiEArfKgA8hVygps3WjFvvejAJjioxY5dPwXVOi5D+fbYU0OWqUUUtNjERpz7YdLcs5xRIAXYJLnDZKOKFNYytKEZhxacb3yzJk1V73Wc2DQLUZDN1hjUdFxRYBvFfrqem+m8dYqtOpX7XhbVOK+pzyhkkZ4lP9mWKryvqLlhx5p0C7BJc64UR5DSr4W+6Vo2kUs7N5Mlau1h/136l5uKZaxfPKVViTn9fguRLX70MUiApNJGYiGeQ5ZbBmaRDTikwZwqkADtnGi2yOzIm4rLN1hfWy7ZYuwZawtS4EZB9uhNN21EX9utQbz5a3S2sEaXPWeEpkCmVmAlyWuEJkhJgeadACrBLcIXLtqtbFMPYhqbt09AWbqVp+3PfDE5Mx/tQVtHvRcWpgW5R0Dx95uwpML1UIntyCi6J1DqS7pblnQIpwC7BFS5bKnFWDdcXxtC2XadW5BBVYu1izcVeeyfm4vL4Z9PawQuDxukz5pYCpSU3M6USUxlvbgmX3reMUiAF2CW4cAJspkLSohzG5piL1Vr/93rveMIuPDYIAGRz1GT5Ob3+pYA1l0sagqdUWRQUKKkEhgZLw4r52Xk2snj88cdjk002iY022igZYl/qat98883kcg+ZHpR3+OGHx3bbbbcoppA+M6XAXFMgBdi5JtXCv3F+i/3Pz0g2XrN6nLlT47gJTdYUHv2zB2xcH5Atn0R0plcJBWT+ZCMlecSm+wq26bVwKJCYiPmyxrUm4nm9DAq86qqr4uGHH46XX355+sc7d+4cw4cPj8suuywqV66cmJ5r0gkqvVIKLGkKpAC7BFdgcWmwmSmqyRbDfG5+y2IUg5OKOgd0qJ8GPsn0S/MzP3y/PN2IysWpZ0yNVVebRvnIJbhBlrdXG+TEnrPgfwH51lPnEWRfe+21GDhwYHTs2HGG9LIRI0ZE27Zto3nz5tN/PyvSCbydOnUiHa0gevfuHb/99htlQBvEYYcdFn/88Ue8/fbbUZfuU8ccc0zy+/RKKbCgFEgBdkEpOJ+fz3SnKdGalOsXz7V1y5pJ/X6LUbzw9ZDIgdsZXWwxikI02RVVYUv6GjD5/KrTYLLl6K2bFkJYFDuyxASPBouJeF5sxF9//XW88847cfLJJ8ebb745veDJOHoZv/vuu9GlS5f47rvvKIpSHG3atIlTTjklqlWrNsMUfK/PeP/99+OSSy6JPfbYI+6888544YUXkvv99xtvvBHXX399XHrppVGrVq1FQYL0mSsQBVKAXUKLXRZgbS23OK+tAFlNwze+2Tue/moQfI5iFBtpLl6xo4vhzbT2mxYdNp6SAAAFrNJrIVPAXrDz2g9WDVXt8uijj4411lgjXnzxxcicGa1A7du3jwMOOCA233zzmDx5cuKPvfHGG+OCCy6IKlWqzDCDvLy8xH+75557Jr8fMGBAfP7557HXXnslZUd97kMPPZSYnFOAXciLvwI+bvFy9hWQwLObsowhYyJenBpsZjybNK+O5rxq3PA60cWdBid+2P1I4cnJJrp4BU7hMbjJr3m0XqY7ey4oMD1NB4PN3Bb7nzhxYtx0002Jb7Vx48ZJQNPYsWNj2LBhMWnSpKhevXqifWau/Pz8BGwvuuii6NWrV6yzzjrT/6ZQK4DWr19/+u8E3FVWWSUq0t/YSw04JyfnP03NczHV9JaUAgkFUoBdQhshA7C+3jq/S+LauJmBT9OSsopJxSdA1sCnigY+2a9zBbxSYF20i57RYOe2Haxgqgb7N52czj777KS9YteuXROAVZtt0aJF4k8VSDPnSIDMzc2dreslU0FNk3Gmr3Em4DDNzV2067+iPT0F2CW04mU12CUFsE59sxY1klSdW4gufu6bITApAp/alwY+raAgu4S2xPL/Wv3ctquz0ERS7H/OQpza5gMPPDCdNv3790+ihXfbbbfo0KFD+O/rrrsuttpqqyQ4SZ/s3XffHe3atYvVV1/9/9FUDbWo6F/bv2Bb9t+eS2twz83Ylv8FS2e4oBRIAXZBKTifn18aNNjM0LemQYBK9K1v943nqfhkH1mji1f0wKf5XNr0Y7OhQEk3HZJ0SnOf5ic9TGHUSF9Nxl62VbzmmmvitttuS0zD+mBbtmyZgK1a7MyX6TuCbObSpFy7du3pY/K5gnp2dna6jikFFpgCKcAuMAnn7wGZMol+eklqsJnRb9GiZmIavuGNPvHMl4NjGn7IxCe7ggc+zd/qpp+aHQWSdKjSUPX5Sb8W/MyFLRu30LRp07j11ltjzJgxCVDOLjjJvx133HHJ0DIgv/322ycFKTJnUK3YAhZLw5lMd9GyT4EUYJfQGi4tJuKy0++AT/bcXcrFDaXRxZqODyCFJzeHPrArcODTEtoiy+VrSyo5lUuCyDJ+z3mZqMA4q6h7NU410TldMwPnzAGG/ntJBB3Oadzp35dNCqQAu4TWLRNcsbRosBkydFizWpwxdZVEk7Xik8UADuqYVnxaQttkuXut2msm1zothb3cLW86oZkokALsEtoSBlH4tThqEc/rFDejn2wxeaA3v907Xvx2SGRZ8QmQ1Seb1i6eV2qm92co4H63pIoga+51CrDp3ljeKZAC7BJaYaMX/VraNNgMObZqSYMAAp9uIfApiS5OyiqW9JMVZFfUik9LaLssN69NTMQ6YjERT0k7Kiw365pOZNYUSAF2Ce2MpdEHOzMpNkWTteLT/zAXP0vtYs3F+xFdnJNqskto1yz7r50hyCntWLTsL2g6g/+kQAqwS2iDZADWgIpF1Qt2YUxtozWqxTm7NMYna4OAIUm94oMoRpFrxaf5CQNdGINKn7FMUqCkklNpkBM/mwubXikFlmcKpAC7hFY3U4vYqMalGWAlT4dmBD7tSOAT0cXPfT2Y8M9pcfAmDaJiCrJLaPcsu69Ngpz0LyQm4hRgl92VTEc+NxRIAXZuqLQI7slosIu70P/8TsWKT7LDm97qEy99PxRfbPk4aJM08Gl+6bmifk5hUi3WvZQGOa2ou2DFmXcKsEtorTNpOmqwy0re3eaArEFOllV8nuji8gRB7U9ZxWzAtijllktoJy1Dr036wZZ8lQBs6oRdhlYvHep8UCAF2Pkg2sL4SKaS07ICrpk5d1yzelLdKRP4ZLm7A20QsIJ34VkYe2J5f0bGB5txiaQW4uV9xdP5pQC7hPZAxkRsBZql3Qc7M4k2WL1anLVT46Sf7PM0bRdk9clWSn2yS2g3LTuvTRquO1zQ1lzr9EopsDgpoJC3OFMMU4BdnKtb5l2ZPFgLki9rAOs0DHw6c8fGaLIUoyBP1m17KD7ZijkV6Cebmv6W0LZa6l9rPrVfJYUm0n2y1C/YcjbAr4cWxceDC+LcllUiN1MUexHOMQXYRUjc/3p0ppLTshBFPLt5bLJWdXB11USTfZXAJ03HB3dskHxPaxcvoY21lL/WSk6lzXRiyly0q1vKp5MObxmhwPO9J4fi3H6Nc6PT0MLY+8NRcW/HarFylUXbizsF2CW0QTIm4mUZYCXdJs2rE/jUJG4muthWd5pf9scnm3bhWUIbayl+rXg6Y7H/NE1nKV6uZX5or/YriALcVwUg628ji+PLYYWxfq3seK9/QXzF3/4YXZwC7DK/yrOZQNko4mXRRFx2Wu0pRnHB7qvGda/1puLTkCgieiUtRrG87twFmVdJ7W21WK808HxBaJl+dk4UGAGyTqb17/uDCmLDGlkxDZ//4ElT4r72VWNIm6nRJG/Raq+OL9Vg57RKi+jvmSji5aXvZNsmVeOsnUsqPj2PT7aI9naHbdYgqfg0P421FxHZ08cuYQpkCk2UpOmkGuwSXo7l8vWjC6fF2wMK4uimlZL51a9UPk7/dkysh/Z6fecJ8faWNeKu7uNivZpZceTqJfcsqisF2EVF2Tk8d3nSYDNTVZM9k+hiA59e/s4uPEF0ccOkn2wa+LSENtpS9FrhtAIarEFOJRpsCrBL0fIs00MZMnlq1MgpF7f+OTE2qJ2dVJsbVejvysfuq1SMV/rlxkQ02s/xv6775ojoO2ZKbL1ptUU+5xRgFzmJZ/2C5cUHO/Ps9MmWL98kbgJkXymt+GQKTxr4tIQ22lL2WrE1aVdnmk4KsEvZ6iy7w/lkcGH8Nqo4DlstN/b4bExMK5wSPSdMjX0aV4zr0Frr5ZaPQ9aqEt99UhRrVM2KQeOmxKTFUEs9BdgltKeWV4CVnBuTwpOzx6rULu4TL3w7OKnac+DG9RJzcRpdvIQ23FLy2rLt6tIsnaVkUZaDYey/am7UzCmMe3tMisFos+euXSU+7VsQ2QhzNbWgEeh0U9eJUR+gbVO1QrSrXSXaYCJe1Neif8OinsEy+vzlGWBdknYUozh/t5LAp+dpEFBMbqyabOWKFQDZNP9xGd22CzZsJK2k0ERJO9jURLxg1FzuPv0Lkb7Nq1WISpRjndfr8b8nxWSCmDasmR2/jCiKf9BQD1mjUuyKBvvTiOKYQEzIE70mxcnNKyfa684rVeRdix7+Fv0b5pVSK8j9GR/sslLsf36WpWzg0wvULtYkeNimDQHZtNXd/NBzWf9MUirRr9JE2LTQxLK+ogt3/D+OLIrV8wXYeX/uwU0qxbO9J8XFP4+L73euFfpkO5OGUx3ttf/EKfEDoFsL4f7y3yfEgY0qxkgCoRbHlQLs4qDyLN5hJScvaxEva/WI54VkBj5ZVvGmt0p8sga5HJpEF6PJkqcx77LqvLw9vXdpo0C5pJKTo5qGwFXii80UnljaxpqOZ/FQ4DmKQKxUuUIMBAh7ol0a3Vv2EiDlGw2IBp7dZUClgls2Qvy5P4+PRztUjZbVS55zGJHCfr3QZ3Ic2TQ3NjQIajFdKcAuJkLP/BorOXktL2k6/0XGjgQ+Vcgy8KlPvPrjsMjiNBxiWcW04tMS2n1L9rXmwvq/1Ae7ZNdhSb+934Qpib+0NhYtU2l6j58a93afGA9uVJWfp8ToomnRmvzV2/+cFOa0blU3O9rXz0mC5HLYQw0rzwi4WzfIia3QXvlY9OXZfQhy2oTPZK59qeK0uK/lAmANBnsK+7rh2d8NL4qDMBe8TrWOqjDwbRvmxB3dJsbhq+dGFRh7RmNaDGUo57iWaq45OWwY+3ct51f7ptXi4j2axHXWLsZcPDVp2l4/KlG7OPXJLueLX3Z6CJam6bjlNREv7uLrKxCll/qpjscvOgyA1ef6PyJ9r2pdJRqhyX43rCgJVjqEiOD7uk+KE9esFHlEK935x4ToAWg+Dwhfs2HV2JP0m7KXkcKZq9uY4qSoRMTi01ZnRfBlGmDfAkT/GlscdZCAvseRXZWF6j9xapz2/djojqnBiNXCqVWS8lhHdBobO+PwdhGqcN9mSEJL8po8cXwUTBwb06YWrxBarLRu0yQ/ztt11bj+dUCWPFl9smqyVSpmpf1kl+RmXMzvTopN8M60m85iJvw8vk7FRZDSfLsorrUIMvLLkobfDyyMwnVIo0FBOuu7sdEBxWgreHTjKlPi8t8mxGpUXTpz3bxo+9Kw2HLlioni9F+XAUyLI4hpTnRZpgF24KSp8euoKfFYhyoUcp4Unw8ojBo4yRuzGKuxKbZlIT4mP6p6wbR4dJNqURUp6F0WUmloSV0D+vWN9997O9766Kvo0qNf9B86NkYOHxo77rRrVK9Za0kNa7G9ty0gezYVn65/45/pmuxhmzUEZDOBT0tubRYbEVbkF1kqsbSc0xT013S1l87NIN/MxwJ40a/j48OtayzSQe5ARO9Oe1Qkyndy/D2uON7atibBSSU7oweK0hWt85LGEB/Au//XoVo0wDScx9iWhWuZAlgV/qQbRyllV8rPiS6YDX4jWiyHyInz16sc5/1WEN8OnxqNc8sBttPijLUqx1Z0TmiQXzGGTSgAeCMKymXH1Z0nxUb1cuMvTAknNV08ZoSffvwuTjn7svh2RL2o0nijKN9km+g/bmS8ds07sfOr78RtN14XTVZvuizsm1mMEYtBVOB/+JXnMIMNm1aldvHqcfPbfeOtX0fhn81Ck20QVXKzEtNxei2/FKjAOU0i58tVoNgOLptlg08uvwsyi5nd331CXPHD2Gi/cuXYpEHleKTHhDigSeWotIhALWPZbZCXTXnDGf2k5StkRS38s3KF6hPKJdXhhlhgmAsDZfwJ77+MsR5M+s2eqyx+H+ucNkbWTz/9NKd7lujfJWwWVZprlC+KS4etFC0qToqdqk+Kv7Lrx8oT+sexdatFn14j46Ze2dGzMebgUT2j2+BKsUnD4lhvRMTRv+dG02q147HPfo4jGk2Lp8qtGb/37hNfT6oUm2UPi7NWmkBXhRyiGTEnl6f5+SKYrT7WosLJcdYFl8c3BetFrY13jfIVeNe04pjGOyuu1Dbe+OHJqHjhxXHJRRdEYVHJBlpSlzSYW5irwNqMzsqP8ZXrxis9R8RWFUfE+jXURqdGQfkZzTg+M5v7gdGonFMxtm80Nt4cMiw+69Qjyo2sGe0pUCHAphi7pFZ+0b/X6PHR/UZEtcljYlTfofHDj4OTCNG53W+LfoQr2humRe7UooT3lZ82NcZUqhV3/109tqozJd7qNzYqjhoYf1epGuf9PDUur983ts8fF6OmzT+frDgVMZz3FCFgTcyqHEOza8QqkwfHlHLloxmWxV8Gznj+m/C7vweU7I7GAPyQMRPi64IG0WfSKvEi9YS7kn5zCOC6bcMZ/bFLyypmvfjii0vLWKaPIztpyFxSSk2G3L9i3ZhYITd+zxsXAwuGxpixXeKHauvEluN/j78qN45pxUUxvna7eHrItGg1oUdsWDw6eg6vEh+P6x61Ize65K0Rq07qH8cN3YaN9HesNalnbIwWOw4J+uF+w6Jy4Vh+nxMtJvSKwnILX6lXYu/erWt0GTw1am60FVo4syuaUMpUCiKrYm5UW3u7+OLnW+KWm2+KRqusGkVFRYt9XYzuJG0MvzWBKEmkJ8OcA9rlsD7DOCRPN9wtNhz/R7xRMCo+nzoh+mbVjjbjuiVzcC0r4veeNqU4BlSsE8Mr1or2E/+C5lmxOvVCB44uiB8/nxr//JQdNfOzk9SNKYuwjJlak14CXp1ei5kCpumMm1QUdfHtDetSIV7uI2OHqS7mcaSv0xo4DaDLiq7Vm8d68M284gnRNXfl6F1/h/ijSgPWqF9k9/k8nmh0YDQc91c8iWLSddyfUaNobBQDiPN65URx/JzXPEbm1onWYzrHt1VbRsOC72OjCX/FZMYxp9KZOSgkv5avF8cfemAMg1H9SWnEmzAZb1gnO2ykPie/7LyOd2Hcn7XPPvssjOcslGdQSS8qcgANXDJ0W1/pFDQhNSQBttLUAqSfxlFnavPoSBj36T3XiQblpsZ+KxXF3nVrxJhx4+PGETvEB6Mnxtii7Di1aasYV75inFZnUuRXbRvbVm4Yr3YdEI/2bRsPtx4ftevUjamAc5Upk9gwFaJB4XAkqTkZOOd9qjnZ2fHuO2/FV4P+ikmiDRLcDBdznMYGy6+9cmzScePYoH3HKCgomPcXLcAn9GmY4P1y/ynxZ0HFOLJhIaHx05Lw+dldLFH8OYHweiL7zsnJin6T28SuJHFPmjQxKlSqGo0LW5Z+tFwYkh8cypGTq0eNchXj+0Et44LmRFFnVYj+IwviBYKeegydFK1rVYkdW9eK3MrZUaANaCFdPsngtlxTgwBv/feNq5Q4HCbynskIEnOyXiTP4PNi/2T+M6f7F9LQl6vHWC7ziz8RwvhaqXF+7LlBXcx+qQa7uBe5pFoSCgwm+0fH1I6bfmkVHasVx30tJsW0YVnx5JBCznKleHXa5tGxVlFcvCYm/UptovLUtaIqQDx1HgE2rwLWw4HlonX1BtEIU3D2+GYxckK12L58//hi9HpxdKNi0vb+m/dqLdugQvVYe+V68daAoliTFJ6PCXQ11cd0HCOS65SJJF7cNJ3V+7Latm27NIwjGcMYcKfzKEwWMK9OqP6nrlUxZtdMaOyoiHos9OubV4nq8MkDO42Ot/rXiBPwud7wW1as0wBDZP3WcWnL3KBMZelFKFTF/BhTeWJsu36TYP/MdK22yGhRNT8vnn7zpOg+dkjk11sDFU0ALU1SwFw8Yeg/0bTmlNh9z72jZq3ai2wcs3vwD9D9e/wZ41eZGmetWjGe7VUQG62cHW3r/7ekWh9r9hM9imLPhhXizr8mxgQKaT81ojCeWy8PMGo0/XXf9CiMbYj8q0TQQs2caXFP51pRvUXlWKNKxLrc1WDV8XHDJ4PibYLWCotrxUUtakQ+lVdsmLygl6xEhvIjEm9n3j+MRLlHAfXTV65ECcdp0b5OVrSnPmlSvo//jON3AqkCn7maE/mlAog86eMhxVENwa81Jd10SZlqoFCI+zgmYnQw8cT3LYRhz9W0HbPjcn6Wg8tcmYL6autljRDekcMftVQoJPi3pHQh3+eV0t6fiQh2vnMjcBjM9icmwXF9B0al+rVig3aN52qe6U0LlwI/jZ4WtYlTGVsYMerPsbETQm1vFJsnc3PiiR1yo8mvWAtH14jTN64cG1afFpOmrg3gLljmxSWtIzoNKYrvh0yKs9qvFVsgmHcb3yA2wpoxlfPXttacdxCPSPjmAU0qxAgA9Zrfx1NXmCbqBLhOhBftsNKCjXHhUnkp6gerRnEbrYY8sIPGTon3aCv0cb+s2KBuTpIfVZb0EyBkMZpn9XJ8wShepKjzpwOL4kASiW/4Y1xi+6tJfmVe+eK4hX9fQXi3rYw0iuy7il/VEqZ5R7fJsWm97LiXQKkdmuTGTkSzyVQXxdW4yWpx6B5bxsX3PhSj1zowKtVpmsx1Kpxt/N/fR/W+r8URV5ywRMCVfUqJsTHxAfllo45qgERYHGMmF5FGUY6OEzkJM55teVA1ueLCeOrvaWFpzyZVKsQJa+SS6/gvIe8jp22nBhVjbEFx3Nx5XFy8Tl6c0DInfhleEDf9Xhj3t8+Peg0qxffVqsc/FadF90HTohf9Gx/YIC/yefnkBDjmfPj+/7pNm64dCQAP9pwYT3aZqJkkygGSR388KTrANP4cmx27NcyO19lDCsDXrls5HkPAeL9fYTTg4B+zWsW4rfvk6Fg7KzoNKyZloHw0rZIbN/41OU5vlpv87s3eBXFk89xYkwj24ZRhq87zpZkgNn9jn7tdaNCHEvzbg4riWMapJu77FBLcyxY5r4wkYIyBIKyp/icEja+GF8chpK1plkuyBRmrwFuJNfQzjrsy95q0L01cggxQF5S6EHJROEZj5dAeU4MHeG+JmW/2azVFDwwWnPJ8qhiXgU3XSyo7eaaLY/LkyQg1JRYeYxfy8vLmjhDpXfNEgYmFxXEV/O+NfybF3/vUiUks8AM9rec7Jd7uX0jkbv48PW9ON5uSKh8ZQlUmWECc8+P4pKrSNDbAsU3mFRTLwd/hNfnl484N8mMC520v9rLpmEvbtfAdjvM5w8HWiyQH6g4IdhhRvze2zYt14NiG9Jc9rp7fG7pMiGNg4g9Q8cOKHfcBzIMJ7x5QYM5W+agFk7PIx7P/UBqLgs+VZzHLHT4eHV90nRAd0XhvapMX7w4qjIaYQ5NegovoOuPMM6Jm9Wrx2Mvvx+A+X8fEaZUjr9y4aJxfGCffeEbsvNuei+jN//3YjwcVxCkkc7eqXiF+pR6o5cpWwXxq/c4hnAxLi2XKjs38pNoVy8UZ5K8Nh8l7QO8kYfyBjtUSppy5dkJzPRbAnITE2hiQ+m1UUXyIaeeqtvmxSuXc+AxzVM9xU6MaJ/Dg6lOj5+iieLfflHi0aGgcu3HdyE76yc6rflWiXelD/gz/zJMA5pfkSqt25jPm81tUiifYH12Y6++4G26nGEllEOm9TavGJb8CxD0mx/kAbQ3u7apmj9D2MlLyUxtUAdCmJZr1Pmj4/r0+msDqVal5yvzO+GVCtKPU21FNKiaVaFoA0HPyY8/Loqs15wJ8kqMK+7qCYIrmPIm6gz9SLL1NDUx5SPgPM7etER4/RGM4FUam1v03Z+XX0VPiZ+5T2t+btl7Xta0S3aCBZ03BoRMauq6ZDWtlxXfQqwln6WcAOdHS+TLVzb0xCIHYSjn9+W6D67aY6+y96ZgE4NlBrAKlgofbQz978m/u7ty5c1xyySVJ7EGlSiWmJQF2s802iwMOOCBq1KgxL2RK750DBTSpvj+wIIahtXrmtX48T8H8Rzm7L/UpiMd6TIz7KDdYSz/QAlwC99OUQnTfykN+Q3HqO744nkEg9exc3goT1nxeh6z2383SnZPntOYCzmE+h5d8bKkBWJOZNyex+G200QPWrBxb1MuJldGGZr5kmpfA0JXcvb6k6sdAFkxuejxgeunvU2I1DnovCk7sS6WPo2AuMofM9Q6d7m1ZZBUQzYLNcZBviJbs11PkYdXlb6vCVBbFVZ6gniOOPjYOPvig+PW3X2P06DHRqH7dWGvd1ktsKQTT3xFssuB6avpqO5vXj7gHc++n1O58gKbEJmzfjDBSHyftQWj6s7pqQ7cLW1ZJwESfWuZ6j0NcH1XHoKmT160S12AtaFMjO3oDWhbj9nkHfzkmsCrHq9vUiMO+HB8jYbLty0+O9zBTZROIdnDHulGFNZ3Xik8Cwncwj4s7T4zV2Etj2RN7rV4xqRRzf7dJcXzzSvERgtUnaK47rpITncdOjdcB0QJUuH2aog1yQC+mkkwLcqs/QENcEwD6DYBaHwAdC3h+MrQ43iY371M02Pf5XMbGuisCxSBAuBfA3RraFc2z8XXWu0+Q7Ip15w+aRa8KyL2PplEJuuzRKDsBuc6knAmMxYDW0QD8O4xZoHdNP2fOx383PtZByl8Z6dMKOS2Yx9dosjKinRuUj78pVXck99y/UV58hFDyNnShQl08DcO9tXXl5J0P9CqM062sA+d4EKFlK0B8JQTTW9DwFVB9b76xE/8hD1kzNjGjl6mVOHr06ARYL7roolh3XZ0GmOrHjYvbb789brzxxjjvvPOiWrVqi+JYrrDPvJr8UsHngE5j4hPO3g7wXPf19bh3Zj7H80qkDzlXFoewnKFr3QE++zJCn40+toTP70aNguObkTO5CC5jKm6mNd2HnE2FPXn9UWCDcT2L+5oBYCWqGqJmpMV96cP6A42pGwxkfwgi49e0OIoTfvcGVWfIl8uA6xdoPsP4+/4Qz6owm7BBrm+TH2ORqjesn52U3Zr50gmu3+wQGLuGqOO/GRsv8Z4z2Wwrw0DmJddrOO+e1aJp7naRP0QzPGEWmyg7t0q023DjZGi4PqPfpAjcgYvsmt04ZYKvA6IXfj02qiFdfgJTvQsLghF55fnbjxySPmg9d/01Ke4GcM+nx+JNBDCdje90dpcR4GUvq2xpdjwFMKsF7XuiDX2JFPvOTrVYM8yTvKdZjdxoNHFAnP7+gPji5Q+jfLM1onKzdWLY65fGnZ+tQdDU0XH0Vk0iD03xv/rJytM9Q8ka8g+jhNdCiDoNa4e+U9WmvwE921qtDli6D9TE/H0VQOGsNXMTX+uRzavEOT9MiI8GFyWa2TlrVYo/YPZ/oA2+y+82gVmc9euEuPd3Fo4tthnM4n7M2XKSvoCUwKbpuD1g5zsW9DT5ebXWC/6YGAdyNtzzdyA0NAD4vxgxOb4ZmR2vbcy+hzm+CVN5A0A8CMHyNrRwAdA5OabBaJzt6wTm4aI4jvHdT43X8xEOPPSNYIRvAKi1oMNIzL5PonXsQG1X129zfNQHYX5+uOfkRFB6Cu3jRJ5/arNKcS+/wxsTzaHzU/8UxN6Y3NVkLQwwu0vvgRHrmWL/3qe2KsDm5uZGNkGBXjVr1owzzzwzTj755Hj77bfjwAMPXGRnZEk+uMSNgLbD2ZnCWrhvFVLmdEliXQHeO+e7Z/20M7HgrY6p9eG/J8e1lB98o9/keBdhcX58mQYZfY0gdytC9FcItushzNXTGsIe/GJIxIVfjo39UI62x0/qudMlMS+X2DQK4jyKpq05uC2t6dzbZXOp5btX/TGeGsZkhRAn8ThK0/kI8H8gzD+Fdr64rwRgXeBPOJgWWj4DJurEO5Ypkrw4BpUPat6NyddSh492m4BPb1KsCdM/hATn2SWjrweBTSnZEd9ppofgNjCF/7rasTAPAqhPIsE/AriUZ0H2o9NCHaRvzWT/dQ1mU/wN8G8Mbb5HGHiY5zQnqKcpzGUXomczl5rwjmyipAch79mMnxvPQhv3/hcxq/7Es45qWgmfQgVKk02NdUq7QCwMur+Nxv4KVoFjEEI2KjV/K11Kp+6Y1R/GvH4OoLpWflZcgen9Ne4dykG5gXKT2yCErMH8XiUfTkHB8pLWfP6Z8doGajXGO6erbalfxDHoYz+OA+08G5VGJ2tROGDV7Ljl+5z48e+/Y4NNN4wbdmgea9WvFj83uizOuOSGuP/eeyIr+4w4gi48leHm5tjOfMmirDwjgH4naDC0TZjv7xys9wHFj/nSTlVuGl/8bXNA8j1+V15hMglUiniYdXOddsIf+wXn4QiAeTWErh8ROHaGXnkA6cWAret6FLTR3Nqf92mKfbRnQfTBzbHzyjmYjnMSjbEt6+iYlKJlmvPGTkruTwqb8x/ncB9M8Djqs54BOB4AkL0N4Ffn+ccjGNyEP1gfV3NouzPjXJs9uRf3aKq3ULrCw8mA4kd8Zi9A+iaEpvURSH9knB3ZnwaJfI42uzNzOfyrcbEpNHgADXUwAm/rulkws6x4D5DeF01frdaxNEVDaQJ9pO36q2bFcTy/DmY/NejZXvzJWsQlGuyMd+knzvhfM39Ra23atGn07ds38dEub+0dxyAU3fnnBAQ8zPNUTzqImumPwhPe2nLOJnHN67t8Oire2oKAwLkA5NmtyW6NctknBXEXbpJD2V+uz7xenoktcO3VJtalJ+fAWIxzWlSJC34ZF2/CZxWZzt0oP1qxj9rXyUki+uelboXA+hD81ip937NPPRMPQ6dH21eb4TkKokc1rZwois04A1+xv6/buFrC359FaDzg34jXeZ3ifN2fNQlw3QtfzLsAms4RTYUbQYAnYaRbwVTsBq9ktTkHb1FerqmBR7/jf7sLgnht/N5ITAm5iZbjmc1orplxlJQ8nPfNINj4vgKYj+YqhYlD8Mk+vWX1eJ26mAocl2EuLavIyzLUEKx//DILnYvEfxHS2CccChffS7+YdNsbBqbJVC2qLwz4fu4fyfccuLiM3M2YaFu8QKbotduno6Mpm6AljP8uNPYFMSKoGUir8fxwvT5RBBfHNRDhRXOJVoGTfxgXQwCfDREMDkXA2IXD0Qfh4Sckz+/RcP5HaUlFFQNeHuLz+mEPZIxroJWNgg5Vsku0z0wU6az2huXWxnGv/5OpW/6sBwx7NeyL/k3t3+CHe3sWRYOpY2PfHs/EXgceEhuvUj153PabtIm/D94+rn30k3jrx0HszfJx+Kb1aHWnuXhGJq6Apfn2FYDiCwSIXN61NsLBrWhxd7apAjOfGO+xtmviK90DALz2d8zGSLiNWafWMLWfiV7uClAMqUpCPVW+dgN0umCK/ZPxVuFVasInAbhK+rVYtF1Wyo4XO+QnWt26+K63rFclDvsGmqIlnvzXeMArO77aumrcjel0fbRgu4IoXc/LlYkA9oyOYI9dj7/KPXg379TNIRPLaVgu7uHfrQHzUxnfm2ih9dhHSvaZwCOZjQFL+st1gehHNTBqLcDY7VcDet6ACbgTPtf3ECw07VTk5YWYcA9snBNtcZ8o+B1GdPkWzOsxNFXHZECT73kXjfldtNrgvR3rVEsCvca6CWdxSYHERMz5MwVveiT9fxCmfv36MXHixP8HvvNCy8z5nBemPq/Pn5f7LQuo2fQIzLOb4VIo4Ey+ipXoWsyzFk3QhH80fGpW43UbyfVuBRAzgZn6GhfE8rgd79yu4ZxnYOOUjuyHHgjnWjdkfdsz/ocAO/meLrumnDuFSpuga8FxPzVBGdqdSkvtmfO8Xu4ZeZLBV59sW4MAwvKJxeVWBPYLKeV4AzTLXJnA0c0+GBX7Macq7Mk9GNd3KAVqzT5r3hFjXkf87/1ZXyKdvwuyJ6Iub34tqQeJnwfz62MQSIlgAov/x+51KMw8Z41lXofiwTXA6TIKOreGeQsCR8DwL4Zw+yFtaLLQHNDVkob4ZjOXC2eAU4u56EovY9MflgnUsb+gP+9H1LHmhkeR5n8DOG2RpIn6OTaLzQL+hAbXtK8aO6MhD2WcHw8uiPUBmjO/HhOf0RZJxtVBM0ipdvoEIPYrASRqhy6m5psdWdyd3h0Z5TgpIzgE92OG0Sd2ImbZsQBc5gStDuM6r1Ve/MDvNC1vP5+VSQxQcBvZmuke5nU0mrEbSsvAbyMmJr4VD9P/0FYvxloxAcnl0h/HxRrQo5YRwJj9pNfmaDfS4iWkz6/YI5tvnhNbAsaav7swxu6jI14qKjGB14Rxz+pyH7lGWg3yQPwNa0OXiZMTaXsoa6CgIVDYD/IYACyH1KVjn+0UR02sGBsiY43BLze0959x9ZmHxpcja8er3w2GH0+JQzehabtdeMqoQDL7moDqppgzD1s1J/GlHv/T+LgQjVNAGptwpXIJ0BhFq/RvKg4u3mjK3EfBBEZSWLwR4LA5Atc3gHQbnvUPgDkQOlRkjuPxcwq0grk+T4WlC1vinuCzAwEs/U3tCOJ6C6DuwF5+D7Abgi9WwVEhzM/NTZUqmYDg+DWAdxmCwJoA+J+A/bUtK0cXxnIPpt098HWqhRsdvxVrZZ6xY9oO14jvEABlgM79AszzAqGfbcQ8/mENDb4yivhINJa6rh//35gxH4HvWQBWiHq3LXuVMT/DnpKuCoO3oynvhYCyJuC82xdj6VJVMY7BKtEFmnaF6V5OlPZZ7CGfP2t5YlrSSUcTsebQuRE5Bg0aFPn5+XPddepPeEUD4gVGQnP37s2kcnjOVmKvZfP9biw2grzr0Ycx/w9GvSd7uxUgoNazKK+rMZ/i6YiV2WdarqrzD/WEe6FbFudPoe5x+M9faGkqEAfPIubhafhMQ9xfDyC4l6z91LiORuPt4VObsieu4mzfB5+ZXb3eIay/a2NA6NxeuplO+24c1pzCuKXCxBhIoOIl6+cnArIxML7ryyGm4HGmOA8vsUeTiZW6aw5nD7o/34bP7lTG2jc379cC8wNn4Zy1K8eRCCQD8fHcjBKyMXN9Eu1/HOt8FYGqCuzyLvneVShIWne6woOORIFcnb39xJIwEW/70Sib6/07T4iiL1TuUQhBDCzZDqB7F1NebSoOLexEXoH04d/Gx+5rVE4iHa8A0JRWHkeaexrTR0eIqFSyBeZJfXffYqbKgSFYtUPtcW4AVjPMp9yrZqo2bmukk1lwD7emzr01i/C3QTBJ8xu/gHmY4vA7nzFCeX0OngUX1Kbd/IcRveaYPoEJf4FW9Btg8TM+xUNpk/dK31HRjUOidGrgVld+HsGBP5KIWbW2K3+fEJeiiWzbIDuGwDgHMra/YQIGBFii9W0Oz54rV5+bfTfDPUqLmvs+RCg4DtC7F0lzZzay9K3BWn6BaXA/tDJNqI8wh4cxrZz727ioBKPpw+/eIMhhFQ64h1Vaa9pVyNiIeai1GyUsYFZmjVblviO+GBPvbFdjtuDq4I5FApfGAugt0FGX+CXMvQua5rEwhIZIuq0AN7dftXLF8dG0mjFt5KDo+vqT0V3LLSZBS3meuuqqdOHZJK58qTBe+W4YJuJpcTgNAjJ5sh5uAbY52qma3n1/FyTBNqZzjWAP37FelbiVQ/c1gPcMqTeTtXFy/cK6uI6aPgWYpwnuuQrG0AsBYmvMq/qTBZKVeZafGM97BQ5/zph8Lcbh+7+A9t2Y19rM5yY0ZlN6ZJbXrVM5bkYbkfE0RXMv/C/zaemKSg8B7k60b4P1dkBbJkA+9seHdTAC07fb01+Xe57sUxhrs193ZC8p+EjrTC6sJ3p3Prc55l0Fum9hUK+jnRYz3s+Z3+87VEfImhSjYUhbI1AMRRB4kb2sZtCTcW/HXpGpCkrHA6KfEtA1CnPGGZiaHzGFiX2msKnp3GCvfQHdO3pNi0MB7e8QMtdG8C3HXGcFoPpxpffMACzozmwCFlwHDBgQ++2331ybh3/h/RXom7HJ+6NiKHs7k+B81fY14w74Cpgaz/eemJgZH+Wc9GAf1OfA/8DnZNq7YmJfFNe37BHB4j2E1r8QSDrwnv+tlx+bvj0ippaagw75akx0wNqxISb6fWZqx5YZ0/7wYwUETbD6Sl3rvdgXneAjx2KJwvyQ8KzTEXxmdVlA/0XG0JiNtg+fm1Uw6cyfux6f/wAIdwJC+aU0NC+CrHa+cS2v+25inNkuP25pl4cFsDBehBdtwXPlK30Q6q7fuGqcDTjqzpufSyuqpl35z4E89+W+kxNL42YIF8aDtHl6aFSHx10HyBp/cQqlE8WQwZz9MRzUg+H1G2KVXRJX1ix1ZrmO1TFQ6RuwWAPYgG7GeTFbejgNdvivzzxNVNl7AMrFSFtKIGqzB308KhoRZermMXDCYIkJ8L/XAXh9f3UgYGWqiEj0k8totBJPqf06JMTziGbNXEqpDQBHI9Z+xvx5B5KikluSdsDf7Dl4J4dsMlO+6KdxyWY9k8+f9/mYOATTw3AY3Gto0TuvlBvHfjcmerJhOmAiOZHgqLswnarh7IvE7iWLuwwtdGWQ5DKEhusIuLoah/s+PE+tuT/vbwgDfoHNPZjN9/EONeMygmX8fR9o/BNMcG2rkwDc6/L9vy5NNN/ia5wE0/sW4N4C8Hdz/QWTOPN7Es34/ZNbVGd+lUqio1nHicz5AYSLNWF+mhSHDIw4qTVdLJjjlm+OiM93rZ0Eep3GBpVRH8SmTooQEAB2CfMx32zyVMyjMIYXtqpOFRgCbzhsHp7ZhfNLT83SdTkAArdbqzV+mIc2qZ4YTZ5DO6pQXBBfF9eJLmtsH3dv1yx2Xq/Z9Kk//8IL8ewzz8Q222wbF+3VNC5/vnu89sPQpEDE0VuuFNWh9TUAxSZoWO8ClJPYt5qFHsKMeZDRg+TbHQzTN91E4WAiwLUa8xd8bsV8q/ZpROwZHELNn0boGkE7hbmpKd69YR5Ml9xWnisPLMXmGcxMWlMOh1Yv9rOP5eT4dIuqcRea4xEA890IMxsw3xYIE1o0pIdsJskxheGYOzqz/q8QqI//LxjKmQDaQwgMF6xdKREeRrBvFCAMMlIDLeJ8KEQIomX5l+9QCJDuFtg44pvxibbUgnUfwHof+MW4qMtaH4BPdQDnrhklKq9CQz6S4C4jS9Xuj/hyXDRD8n8W39kemIdfY63eZ68ZNSwtfPcOzrv/2PhycHHi4/1+5JS4AKuBJsvZsVNT7xJTngMuvWkK+ZdGEvfv3z+qV6+erL9RxA888EA0adIkOnTo8J/nwfFo7XqHMer6Uagz6Caxgfsy6G0hFP2NV7GXjZvIB1QvQfC9nQj50VgAqiGsJK6dOVyjIayC+bxemnAPRCP9m9QYrXKfscaXIGhOZT2Ogdf0Zr1/Q3BpieAioMzO5Jv5/RjW3XO6N66brdBe67Fu+wI42yL05DA3rX5qyfIAhZnzOatGDusS0+r0GntzbrwWAuk3WNXysQpcDu3G6TdiD7wNrd0Ip6PJXgv/1mpnytoujP0lnu3SUismCSD0mtegpgx9XT6FWJ8lpqgw3IvAvgtWusfBj31w1blf7ZS2A4rX6gjFfmmBK2CuGV7qdpsP9/K8LvMM9/9/Ls4gJEirOiVJ66YO/gWIbMfA5zafSMKqpp8G05JZvAugrIe0oZZW9pJ5346/VXOewTXUAQ+MOYmvzpzY3QC/bd4ZRYHn4riAg3AzX0/2nkSeIUElSElnA8IZADdKTKnwKkDyekC2EnOozPO/3LEmxM4KwXwjtIov2SgrQfzRbIaf+MxuzGsIXG5/3nUWoHmr/kbG2tZgKaQ0TXAGRP0CmCn5bYGE+zTv3qg0j8xqIgLHL4DkOyxweTbc+gCw0mrrN4ajZZWPzvx8MpvgHzQcTYX2pO3HnNSA94FJvoVE1oFnPEHu2Qto7TPTaVYr3BWfoSD7DXRbj7GuCXP4jfmXZ8324ECV4/urjLMNBR6U9I5B8nsFBlTJ9UVAv/tbQP7Z3BhCNO26K1WgOX3Em2iqps1owhXkBeyPYKjSwFxLpUKZ+QceNu4ZizY0GnNNczRxtfrZXU/gtxQAym5uGfBTpMr8DT1uQvLd68OhUaXa6vF3VknLvi/QijZG+2rVcu34qA71i0eNjdatV4tzdmkc1776T7z1y3A0mnJxAiD7BiZZA5QugbF/xXpswxo9z+E3EEdT65afjY0rWxHkVZ9IabRYta13mFfCAaDTbjCnUwAHTXJHEy3bmvkI/Eba7oB2+Cna/0YAjcqnpuYMSMo3FOAEWDWTR9pVic0+ZY+8Mzq25zmbowUbJOWl8Ofn/JI3/8reE/yMZh4FTTO+IS0nQ5jDub8BBmgnIzl7l2CG3hbwbwkofIgQsSU/qw1kUmF85qyUA58piGvyXY1I0U/QeH9FeFBq+pgiLNtSQcwiGWdDtzeNHMW8fCcdqT7nHgWJEzm/FyG8PAhtFXaHAARtocP60FdmZyR1F/b2etBrNH97BFC7Fo1dy/3swFUaZvz2RpFn7qtXr14CrAJqJopYbXbnnXeO3XffHRP9f2uVnwNM++N324N9ro/u6T4weBlMZtNB1w/RegSdAYx5K9xQp7cosQwg+8ajAEdz9v7Zs9H6XMPuMOw+mEONlG0DQJq+1qxMoJ8WMtO+BAOjV43j2wuwsa+pVxsELflcAeemAutxAO/boFZOTIXY+wAWAt9I+NJUhj03WmV3gPqxnlOjHdqZJlGvRzjzN2Mlqw2vLSK2oG5pJoUBZLprPOPyHF2Dpqsd3HzGU+s9v/P7bRFOM4CoInIw/PEeztMYS566gV04zb/87WXm9AD8Ph8+sTf8dBsUM62Ca6EkXMVY5kUxmx0PMa6gXqUSOl7feUqcDz/V4qgGfR5WMYNNM9HYmWe4Z73k28fC258hrkRla3Fe1BOEUhkKlEqUDtpIz99l2DCPa1D/15jJN6HJWEkiE5mq6fFxco92hrAWa9AMqqR8JxHBldh4jZGcywKHG70b0pV5fE76Uja4mlATNq3DURpyOEnYNfZ2/b8fwhQ1w3rZqLfsdRJNejvhBL+yXdVE69Uc+yVM8goWeFUkr5ZsbpnGvhwsN8wJ5PIZNXcXGt2jm1dPooBXBYgP/2xUwgQvXZ+QdQQDNZznCX6yaMUDfxZFPv++gfGMZKP9D234bf52A9/XIcFf0+UVaL6HI9EZyemCqylPYQ5JMjf/rgTNDBfXN2RUWx0kPlOGZE7H8d0I3v/SXg0m+IUDcA+m38M5VB/uUiv2+Hx0bPj6iDgUzXMqvs6Xkeok3r6Y3R3DyV+MjmPQoteAhhcgKSvp/gpjzT+/MJ4ANA/PqRSrUFpSC4JAIHhqJvuAHNbned/W0Mb1f6WXNX8AC7AJb2gSvFCP3/dEa34/tzARwhzfDvh4tRIIyAoUMguT2j28tg+U/moBh/GzwVNsm1hjcr9o2fP9qNRqP4CsBm2oiqJVNXxoX34VBrmoxXitv1rVuGjPJnHjG33i7Z+HJ77d8tPyaEU4LU79bkIcv3ZuIkXX5UufzGVofheR3rLzR2On+4Su1z+UQTTG8jSMQz/7/vhucxDKnwaI3kQDnrYaBRBgqif8NCG2Yv+0A/D3hS5qnYKrGubHgO8xMDL/rdZsENI+gOsvnIcL0AansQ4Gf7SoRrGM0rgfXSHXdB0fO+vmGBpUucpOQND9LiYoYAquujZypTECmZ9R0FFwNB91bqxtTtG1tGqT4LofgGl0s+C8DcKGAk4TCk3oCzWYy7/9Q5rRK8wjufjs6WjQ+qzP/n5CIh1si9Bw1/pVEq34T/bQhfiIX9+M4jDs3YcAFX3UczIEinl++d7M1axZs3j44YfnifcJ1o+x1w/nTMsn1Nif58wewb5fCYbbT1twWfsA7xyAkKvp5GPA9mPO9E4AsgGBB8LjnmEjXvDL+HiiNMhy5sEYBX8vUbGHYaW6nDaLK5Pf/fhm1RIB20uz7RsA2IMI+BJhbyxsRxBroR9VDc9rd/aCX55Ltey9ATu/MtdK85CDfx/KgO6e68oE+Wh9msS0/4ffuRtCXH0rf7iUEPxxTLUqGlryFBbWRBGYOfDO/NE/cMX1wmWwHfvSIiMKBs8TxKaiMEPUVel+7sd7joKftuYsG8RkmtcGCAsfArw/wOf0veouWpBrAFKQAXhmWxilvgp0OgX+oVn8Itbsva1qJFqs/EuaGK8jfj3Lz09qMYS3adEwvuXQORSoWJBxzvzZrE/wS2yJ5OeGqGXtMzahUVlHsTHqsii7wSyMAM1c/QBNpaGnOUz/QNjrMe8KogP4GWE7tuDeQ/EjOEEZgyaRn2C0Mp5rAbMtIbzH6hTMmAZGTIZwzVjo9VgYIxw1AQzjHRuhdZ2IU93PGfVrXuwLbMhnAMVqENdKTxkJ60YA7hcYnb6Hb9kc9WHomuAso2F1oJtwhBeCrjutWiluBPyuIwjgIcxFzvV6NmkmClhT5pq71Y4RAEFtnmEUnzxAxmagzneAWXfGpo9a4UGQ3Y3o457M/aWtq9MIuEJct3k1at0G0aoVEv/w+0i0ZyBs7INUtyHBTpeVVi4ZA7eVPqexSWSuh2PC/q8AC5ntpYCqJk7zu27jYPdmDEqiv/N1Mc+9mkO1PXO8FOnuYSTZFwGOxua5oXV8wmavxyHYHTDQX/kXkvgaJKjKsC/+CvCByRyEgKPJyQhGg8CMGtYkOYjPG4xUjS8tEmprCd9iDubLro1FoRa07w4dXCPNXzJ2Gbm5cO6lv4YVxppI2h3rFEUv6GZQzg1UPXoWU7MC0P1brxov/NArPrr6lPgVbUZ18RO045atWsVJJ500Q5GBtk2qxoW7N4kb3uwTL30/NNZZozjG5lPVa0xJEX8rKpnraulAma4+wRm4fqlNVkuN22QaUTerYO74FXPNcYCp1WeMQXgdpqKWaLrLy0bJcv9I2g7uDOPR+pgAHof6kE7j4pA1KiaSsmbb/vyxJ8Ldl9BLoet7tPFaaKoGIOlXnQjzOhbg2hU/28k/T4x9eP4L+K4E1+Ewp1d512ack+as87es7aOs4/o1qiQpP2rYnom5uZybjRgMXjqI93ViL9ZjHH3Z+t0w5e6AedgnqcWaatT2/dGYkMgrx1Rs+s3tXQmmAuitTHU487oawUTIOpUxb1izQlxM4RAtVdf+MSmOw097ElYAx6bpuJTEsxzm9IbrcyMllHmCkalWoCope1oijGTzn+05g3VYm0aM07XXr5o0Jc40kPZmJmowm5d8w72ZB4HUNmW+TXOnRQfO/3GA8ytYlK6HaVtpbGWE7rOxisnf1I630HTLWanGf/oBVI+xNpojFcSP+XZsTOK8HIqZdmX29Msw9wOgiedpJ4TOlaG9cQ5eChjNNBuVXu45AUDgMPJea4pgkfCx2Vw+Qx6VuZ4BPN+wmIPFcnjPamiQpguWvb6FF18G7z2CMbpW+34yOr7btRbZA8VxCePfjTmet06N2BOaWo7QNLfrUH48QtK0HjzO4LEiQLOqfVoZ45mUVayFQKvLznNdmcL+ro0g+8XKNaLqfJjTM2P2/FmcRoH5eiwmWnhuR4m6kPURPHUbarF7H/C1WYnzeBYrp/hjJTrXsTyfdc0V6vuwv89lPW9gbRfHlfWPQQBehIPd1LFqEtDyPYzmGkD2XBahbFUe7d0nkIqQlH5jQx2J7/EYwLQYYt6u1kbA1G74UDdGohM8TmQhW8IkbnRB0bZ+ZENepH+QzdSezawN/UUOgzlKbgS14ZdhTA8BxBfyPJl8JnK5KZt4M5iAZhS1WzfHS9TRtFaxxRDGK63iTHsH4F8fhqVZGBtRPAHQ2PjNhVIgMA1lANJbf6LghjCH34kGLivFGZyRFNWd6bLKlNcjbEL9mMcBaKtyQP4AOATpvQBQzVSrM49joJF+kJuQBk3leR+GORJQUlPNtFQyStf83cw1p+jFW/ET3UG0734AZjams74IJvpXBHHzOu9Guj4DGt9SunGUJG9BCDkeIeU6tPGP0SD1GxkoZgBEPikv68KQtsYvk9iy4ECarBRkzIXTpHsnraBOJmL6HTSdd3ImxyG8e+v6FeMwcu8qsL67crhf5UA/wUY/lL1wE8+6gfJqpqQYafyaaTFoT/o/P6On4ykwGQtzG0Dl861JnFEkN2/WMDZ54OH4tO+Y+GEgfhUEAQuFZOcT0FPh/0d2tmqcB8iuGldjLh7Sa1TstWbEpzXyEx9gwxyaD7AOztfI8M2ghQKCYDXdWsMe3A3QsKOO2qcyw54IAqtxSv+Qm8jYYOT1OJzPIpwYSVylcUlB/VZvjIppCKP9d6me+HdlslY1OgDt9inuNShIE/WPjGUynNd7vuLnYezbP6HvHuwlyyh6HY6f1v2vYGAh9HH8+ke+bwH4WqNXf+ILXScnWtLBAKLBT7NluP6hlB+r3eXA5QZwrgXv+sxzA1wkdiC5H//wT4xHoaoC8zS39jEFCD5jKct1OLOrc78+2h07jY2Bu9SIITDUsQgGORyDSjDQx/sQ9GQQCfS46NtxiYB1JHPxnP0XuDpESes9+mDnIuZr+nSH8/5d4C+PYQHSRP0VAsO17Pu+gKol9ybysP7jyIjgb7pmjOY3/zq5eJf7+yQE2V84+03hDx8BpO2gazPmexRa8Ejmo0as/1Om/RTA2Bn6Wejm5G/GwODHJ9kAupYEQZI50QgnJZqoGLIxvOgTzmQ1hGuafEUN1lVZzTSRZ6iDvYHvgmeYy2nVKwMhtVh9iHn+XiKCvyJL4XzO8DdI6PKDvvC0uzeqlgD43FxWR5LvCG66Lmb2ryaWO87sBpz/VXmmgkJ3LIlnwiPug7/sxJwd6+GfAbpoeuuyF4x1UTP93DxyjsWbWOz2wkqXlUXVL1x0g6HPzvBbzeXCQlnTtmbbBb3cK8bJaJnovS9VUrjUTD9g7cxq2B+B4Er8yioazkdT8lGrV06E3d6A6VUEzSpMaV19GzprLfDexXVlHUU0qJLQPjBPD4wMUC1SlV4LgDZ7/f76OM/iILnBcvgqYDM/oBYIUQ0MEJSPYvM+3Hl8YgJU6tD3OphNdCibX6myCodwdZi6G+EW8jD3BsB3gEAnoVkZjbkTGtPXRgmzca/F+X805g79odZOfQStMxeGa4FotTmDiOohzugD1TRwLofgFczWPceUMCirEOXxHP1jVmTL5t7qSJA3EQ33Mxv5C6S2UxmDWvW5RMZlrmsZ9zGAhSkOZS+1NiNhBeOkggq0kkvYHaQvm/QBDmMrmJfa9DZoOCZB/8QmXYOD/AF0kFn7yMxTBRgvGVJZIVUTk38xv62szzIR9vmFUrXvuon5++9ObJojodNXAL2Vlhxf5tlVmXMvNtoTFBD5G21Xc4rv8uA9xMYToPW5vgJIFsHNnZd1ni9GKHicuWrCfY3o4kGA1K9JGgZBAw6EQWv2NnLvAfwaH8PELoKWueyD69Ci3+qfneQRn8UBfBU6XM7PAvcpmPEtZ4nck5iqvmSumqyV6h3TxHI58ewIU4cqxbF18+LBfwrjFPx7s7taNKoSlwCyt7zROz7vOTZWQpI+k7XbjzlNQlrVF6jEq4UgQXK/ZIzQvhyE+BnwX7lyToxjPnsCJAcAEPrkfmavq2WpQZjnWpHPF3D/G9BaKbkADnYSmuQFmEfd6woQL2JW/RCQqoBpXBp7diYbwYigYIqBloDt6ufGeex55QWLM1xCvu0nPPOrYRVJp6LaFHv/R35/YqvKSSOBVXiW9aF3JnXGtB9dDJnLnxImWuqLTdLpJGLJ/5M9YFu+NuxJ/61Gv9W6WdHkzdExnLUoD2E2ZZ8aKLPb52MTF0oFPlOTtXibs/M1JmXzSQRZz1sbxqF5+HUEh3yYcwKuANsGaOVHwrTMBS7bzWd2a5ZsYywGst65rdGc0WIs6fkLgqKFYqwOZkCfmp9WUM3qSVqK56k0IDM5axmBBPpchYBqCo9aqi6LhzlHGyP0XVnqv2yc0A3awxPOxJqzCvPcl2dqOdAdVlAIY2bzTjbamYfnsi9M3dIlZXS4Zvw68hzeady5WQSewdPXyk3Mm4cB4uchhH7Ovm/Ms5tDcxWHQ98ZGSdsmM8nqET3A9Yk+O/nAxgMQvT7q1SKE+GPc3PJB/36r0ueonXJ2zRT5zG+HGhzG0pCMfPaGwHmR87FOUQ3uz4T2MN1+buBo08RI3Ip51wtdXWAzD1wLDzfTICZL9dIIX9WNczdA/qPv+U9ujtUlsoW6pn5WZ4vY0gOIkWHXiBkHxBsxZrdhtDyAHzsDQT5V/g6C34lD6uWWDjgTwiDurjyWLuafObc0mBMrZGL68pamYNxJQz1Uw62JtJMxSEDUwZxKruwiZ+CWNNKF64dRDN15hb9DKW/M2L4GqJllczgOEkurba5dgDpeTz7hE/HIGmUdqthsdRC38BUtjqb0aCZB5Ce6sK51gSMrMxxKoz4/V7FyQaVZzzIwm6FtPIzh0Pt1UVzgwvin7Nx14CJmIv3KgDrB1bh3/qOtyOY5Rd8Lt/z+3U5SFZIuofcSDW2/ciN0iKuX8woYqv+3AiovABAvMpi3UuuXF3uk/mrLU7QxM37lOwFS6VMN5gGgHsA7agwKW5hsfUzvoIU3B9pW279B77ENXm2pOrBzQKLFaiseHMcptnToU+SHsPfTEe0C4uFKZTQtyVA6RtAsTp/UEqzdu/z0NYCEq9uXSP2IA3hGEBsA9ZjPGu1DRaE6uyc+tBR/4TtFaVfEzbXW7y3BodZU8lBSISfoG0bat8Rqfp4DrA5bkcjbFXgXdfBYN5HUFi71EezFnS7FmDfFQHodmjUHC1Wc4tCU52KeVGX564EjQ7BLKNPdSBSrdYOtYUTmZ8Mekf8jUrtrptWEq0ORyEYZEpNOrdrOLzrcV8h5Y5/QNNuVRWws+Qa9JrdVaUWpvXW9eP7voXxwcipMfyHUaSWVYtDYaKj7Q/J4arFelkEf3sA5VWA4zf2dCP2/eub5EcX6H7ez0SRJpYcA7Ewa7N/TEez5KDmtpMp4HAnQPuXEX8JQgQ5qgCh5QIxl9bxQEPrddnXRpV/iMbodTbBSbo93gJ8iSdKmN+dmFnV+h5tnxf7Y+nYgjG9zdl7DaAdptDGsz7g34L0GPZ6VYD1UpoOrAztMgFWPtv9pA/YusICiQEf3zA+6SrDslLOBTQ0MHJ5Qxi5QsItvHsdzijdAjH1lU+qUp36w/gYy78tfKDV6TxMydZW7pVPM2uCttoS0a9vsSX0W4fAuhuJsu6uH7PUTGvt4/Ew4i7UcbZGs6ZD97Cm+bJR02p4xiMIfrUoUjK2MuVQq7HAM1ePmcVCa3p9FO0xMTXAJx6AHyjnmbM8EHrrdDJiNDG/cqBf2qZWIoC/xJw2hwcphJjiUbsiue9op2YFWCzhNM6U+8tSj5qeV0UAfw9e8Rz7uhHP0p+sifYchP1P2Aut2JsKrOOhcXMEf4Xg/ynoco9ukS8RcjXZ3sDnazLPzdEmN2VPCLJVWbDrEV4VlB4HGASpF+Azmt7Pgm/sjzXvvDEl+brJ4gN+zXiHIKgJ+7/6Ms8tWAj8mlarMR6jqLXE3YKV6rX+kxML228IMNtZEAbG+Kw0ZiwDmXdbhNYrsSgaxX4pFq3dOeeavI0+nxW4Oh41Yc+07ywpCPTv5b/kI2ZjzErTntV8VMCM+xnFuTNfuP/+deNgxqWrcSh7cnuE43U4t5qK10fzVrE5iR62O8JDDRoz8npBGxfMjs4KIlpRZmVpyDpzrSpJjtwTTFgJ9FaARb+StYENPnqTjbseptmf9HFCKKN7fzRPNiMpKaobyMPB6oWWk/xegjIraJL4Lldm4kP4h1WFtmDCbnLN0bu/NSJRMU7E56PGo//OogcVEEM2YsNdzWZoyCE6kgUdwdi+hMCdeYeSkYfGsXsojgeo1n91eMm7Ocgrc/iPRGt+hI3+vQ5RmKza2s8w7e1ZFKM0f0FKdyP7TlMXzsTU7eePQKN6Fk2k3YvD4iI2vpLVgZhMXqR02QVIcdcR5OCYeyGBJbYYd4vMBhqcSXnB0h50Jb+HGTyJoKLD7k2imatSY9XgK4vQa/q24o3RuoJRG0wsv0LbF3HWl/gLSgpW34DgchLzJCwiOdxvcigHYSoRBB3/wxxW9KpYD2DrDZN+gECGJwGDExFSLBbi3H9h3u04rFoE1GZv4bOay6xzsQfBF/qJBfchVmdhjAnosYYCgtHRRk12RVA4DuZhsfnPWYde3G+BkERi5N5tYDYZiVVNvjNj3w3/jkUWnIs+vZ1JJVID1jRujm7ZS7Pyi1RpOZpoP10FClUXtswjp7j4PwH2dCT+CtOyYtVa+IC7j43CMWOiKyk7o2CGOTBUyyqegwDhUsmULTOo5mhwksAg2HoAjVh3296L5rg2QJGNGdRLi8AN+CKVVNTW1Igrsz49YJDf4FtVg+ormnC7laNG06hgLLerwv4AIE2iJZvCSEW0NoWzvWhC/ATpQQLiIZwDz5yM+nwKrcjQf4DWPd1bvAOXcjzTA+EQ2pwLGGqNyeiw0vxaANOONJcTuXskQFmP/dCOs2qt4p8xj+ljPgEN2vKIClqu60YEat1AXrAR1u7RrTGl94BB+ZzJArNaLJ/T5G+a1ljWTnD8BO3agLy3qE51NCk/g7GIOBjHpKvBlpGbQXcZ5iVo9u6BXXl2pl+uZSSNnLaK1+N9pkbfbNafqNC/mKtmSgujzO7SNfQm58NUKZF7ffaOZ+QzgPIQ9vTznGGbSjTTLcT7ZcSecbu1XA1fUcjZB83sDrTEv+na5BjMJc1cBua5jmMKs+J0AgI9M1dwztX0TsEq1FCzBbQyitto+RsRwlU8BJASJz6WP3iSAtljgPrZfMZzOpSx6sJxrVQqHvlsYrwP0Y6Hnxl05NpLb91W7UiTS3hGRuDgb2q5nh99s/MCsJpEtaQZaGgAWOZyPu/CX/RNam7fZMvsxJVm1S1911Y2s174Z9BvE/bkDWixd4EL7VhXLSI2WbFQxO0EhGV8ybNbM3ORdUetrnUHofYINNDMZSlIrQg9S92TM9cvL/tMA0H/Yn+osT6A8nUpws6euOMMOFNgN2jyL3iSyqGXObA3E3MjrzySdxrJnLkUPM2A2JvPaynUDL8wzNi6l7Yi/1jLX1mfuO/N+gDE15QrSLyMhnY6arTS3YOYf5uyOTrCqBQMDWbx8MtQp5WRSMyJq8nXWWyq05A0x3gImNN6aDmnMvkn2XCP05HFfXgLTPdYDu5x3OeGeQ3QuZMgiXt4759IxVZysnZueyS/kRxITS/6nGQq97CpWxEko/muHJvvcxbvAkyCmvEGGWevGO8GNWqytEj9GUT7JUwUjUANXNNkOW49H6C8nmcIFvpAurLgCRfh70oiicm2tMLQg4D0wRwqta6kAEfmAGhr4dlNYKo+7ziAIQFXBpvPZ0+nYPxVFHJIqgdBQOd+PHM/1Q3Az59R/NoKUE/iI7agRzsO4HVIiR5I56tv8N0i+pFyuD1gzRAk9IeXY747EoCgb60Gnx8FKGrOFcTXZOPYQqwzB1aJzZ6nBiFMZa6j+G4Bd01kFyK5f4dmbKrRp4CwJjb9gyuhKQ6H3h8z191gAvqIDKjSZ7oqAsz6NYuTDXwuUcvX4AdrynNuQirXNKPPKROQ0YV3nEOB7eTi3ZXYyG9uVSd+Z1xeZU3fmc0vkFnFa18Yn5qUZdCsjW3A3QDATFNWielnxmsVrBwKXWesUxUrR26c8z4azc9DEC4mx007NsSdXi4BkwOxZgiOStNXItDt1Yh9xKMa8K7r0RB/A2Qss/jxltWiR7L3Egtp/MyebwHgb4FUbHSxq3MYmuHrA4riEawwaoItOcQNWIunEGzcPKtCMyPxDX7bgfdWyyaID03wNaLce4yvEPd2zI9R0Nv8WIXZZ2HMavhnYUrcj4Ap86Gn72fmfB+ALE12Qdv1fhmF47MW8L34x/tMGp/k7+pI/pv1tzZxrYpTE8uBNYf3R4u7OynxWC4puNEHOh+A5nQ4GjSFsZIUjP34t9qvxUW07BimZIBW0hCBvaVg9Cya+QR+1uTWSObBWNRW70JgWR0N1/fpm2zIWDuVViLaibNsFTXXYFe0HosH/TmVmttTs6MhhUQq8FwjWnWpGCE6q0tQ058uzbQkaS3Tx5r09OUz8rBB0PoQMgzsgKRFzX3RFpru8uHIOIK9XA2wPZpCHSewVzN1y41rqMf50od6Aznr9yHUvbVjrcRlcANCaHfGrWZ6cd/xSczF/Zh3p7YEtDmnNglpy75Qa3kGU/O9WrGgh4XtywGsBmbqO8xoTQoEpgL25m+bwV/tVmXO/AYEPk6SQ/P7WzarnqTZ9GTP7QSvwM2ZuJXUzObl8l2Cqf5T+Y7WMKvWGZykqVoe5GXw3LW/jYkrEbLv6jYuOQujsQBMZG8dDs0tOnI9cRxero8WynsJahVc9YPqlrKSm8LbHZxXG3q4d/9RO8di1hkerXtPYeYghO0dEep1SdmtzIIsa2FFUsEQQOUzCoDyYwUiL2MbFOxbcXbOR9m6GD47ZHKV+Az/6zrQWfDtACZkhE4/cxsBt6ZKGe/iut4BtlQ2xoSbRhqgCy3MhVZRvASL2ac71UzaUVocyHF5tjJgPSeaq517DhWC+pgyhaIkjEgPg3t122S9iwbkxli9enZsACHUTtcENBRQH2Rx2nMo9OX8DqGq6ZiHKb8Lo8hcO3B4JaJdE66CGd7NxjQfdSekV1M7lKIs0ydzU2LQn6H2IsP4BMnayj4OqhcLU5VD8PPuteMYmHN3NUwmbBTe34CI7+9XCkSaRK3MdBsHxKIHFX2AwF7K0JtbN5lJvgNQ6FfYlwM2iYP8JptXP7Ah578AMPk8/3AO6E0c2MwluCQIy3z+FlB5jr01j0ATSHIn/YXqUKlvx7cmUaeZi6GMQ1t/sS9lzJACP4ahXUCP0WOR2PQRCa4XIulYk/d3NuBXRHFrzjO0XLOz0rgb7NthmFKR0DUz3Q6I1YFhqJnIRPWH37N+XuJX/Rtaf8O/Ne0bWGSawTDodSrvMKjlbYSnZgDnhxayZy1+26NOEhWp2bcQ5qqsZI3P7sztKCRTTdKnwhyGMydB3JD7X0bRbQg6/cBBsPPGiayzOdFPwyRkcFokMpeS4Ulo8h3x1/3OHHdCc96AOXzP829EWDEnd7ojuswO1oR3AylVnRn73wDxNDbMU1g5dsF6MMTylQRXzKqhskFjz7M+HWtXIKeQRun/1Ixev0+OmjQoeOxzGN46tYlaRvh4dVTc1L5KnI6516pFbZi/0a5rVS3RhiZNpUwjxRQGQ19zGxUWevA5818tf5hUGfuxJFXFtJ0XqEM8Ecm/GQzaSMv1yCX+A0b4m9VmkKYVWqzx+zya3YE890400c4wt9akxUyDtmoEajBq1QZh7Yh2bN1k85tncMrDEP5hjW9jH1nAvx8gsz335vJ5u9xsV69qHPY9+9c9yJpYhUqh90vMvGeircskNZOfRzN45ykzsPqSZR0Pwqz2CkUrlBkHcH40X68Eo+uEkKHWnXSBZI0esug/7zXPu5Dvr21NpDx0MlXnV8b7KSbwrOG2sitIhKdqnI9mAO5a46gKlT8lYdynsafuwTqQDR031SLWG8Y0eFyc+UNufLBdzaQ+9n9dZhz4TgFtHRiugUbTGN92aA5aynbFOmIBF7MG+sMsByIkaZkSlK1Dq/yRx9k3tkQhwEjSG3UXaXyCPu/UK0iqlhlfcip7bjzf9eMfgUnU9movWk6W37leVoIr5hmuX9KNSUmNdfL5+3DmbVJiml7ZS5dDU87hjzzHgggGPwpEA/eunQDCq7iFbAdpWVozGDYA2BWm9JFrTlVZ+f/i5awpJvA4TgOPLGQhGJ7PfO13fBEg5RlVUXoYAdZYikNwDZkhUBUBbMoUrFHs3wMRoi8FeDNgbCaJmqYat1WUXOdMpzANh5kCHfqqL8EKqcl5XehZmWd6lsZAppsBOzV5A/YET4V96WLDkYsRXi7jfZqdzQk2pdOc628B8d6A18PwGotIHIfg0Z+NuQN01i9s4R/flbl8nnv+Y2j8CfzVKPO+g0oC3+Tb7nXrvmvBG8NZuIhMBn284pUC5pyaxWTeY0yJfmbHJPjvj6VABcrgKqvmCbwKWVlnIo19h/lnc17gxJX+JN6TaCirPzO0pBAK/zHiL59KEBnpL/MiJSWrFO1AYX41TyujWOZQJ/b1H5Bjio1fYj3HYF7CjCOw6oe8ifsGMqFsCK5f5ll8igLMa0gnSm0HsQE1ZWSX7t9KOtUhvoE81i0uYIPXziuR0gy2mS7GMDE7ENYqrTbjIajNz87DZ7yUREtOi3N4v1r0WZp1IbxFLtx0xe4W8RLw2haJ02R1I0mVhtQESwJlpsZR+D4VLDS/no5GPt1kDmVtmGDLvIORqLFcJv4oJVlxW4HCS4byFJvMbg9PUXFJU5na55WtqyT0kU76YC/ABNqO7wZxWH1l83oV4zR+ZwWl5/mcwsqPSIcWcn+Z1B332tn4Ux+HWbthDUs3hbkih/ZjgPQoTOF2xVGTU8K+H+nbKEADzwzk+mRKYRIAYlCYTMDrHg7ihYbwI/kaUNASRqGv6g2Egj15RtnLealxKH9c1ZZuLkz6UDZ0D9byLopoZAKwZmYNSulPMn7zg0+CqXVgzpqZHmf/uPEtoiGDyXTnyXxeRuIzlTwnAHjWfl6tQcN4/ucR8c4fI+PW4QSSrFSZ9KSK7EGYaGlVJYHGaxwP8NDdBb183w4wf5mNFgSDan7FpDgGoegkDs8tgKqC4sMAitqrWtqnBXSSAYANItKa4uX58WA/C61so6jp1D1QgWClYwC1l9F+P0VbPgyw/5T5HqCWiwClnynRZkol+ORh+q8B6LsAZs/aazAOi0JUdV8xlmOgv+A/KImC45ecB6OEbYQu7Y2e1hcqk/OOy7FQafF8Bm38fYpu1AcMriFPeE8ilHO41yAxfUoy0gmY11+iOtVJjPtsCl8kAUScmUeYvyUabQiwGSZnzcs2se/JXtNPPZbP9us3JbG2DGRORhfLON9DyHoK7f2J3kQ1jxoTfWtVj2qkILiucypio1Cqq8E8xvdxJZhuchjRrJqXH0PzU/B/jnOTcQWYslLMfqgAbazudaSaFvOyOMutmPyfwKe7FXPVYjIJGl9FcOYBMO1h0ENf+kfMMZ+DYwCU7RtHMq/dCVDbsDRw59KR45IAsq3Yp5/yLi2A8qIenOO74HV2kDms1AqU2as2OXcMHwCo+mWHTS4uKdUKoCgwHUFcyHCE2tV5rv5q01DkJdsyrsNxgxkQpbXMy3nKqoz5eAkhzrZzZc+EgoTn4jjO7EkA6HieY+yGVsYEfd2k7J8DAIYeJLb3w5JVi1aB7pk1eM+jBC+qBGRM/AourpN7/FiecSB0+5z9vZ+gwpwHovYKwLLirRGid0fwVsP9g3P7JPTpyj1HsVc182tdkF8Zr2G52+PgpWcTwHQuAk/PPWolgpzjNDvFYNJeRH0b3Kmi5pyvK5NioybsV+ZSWSkp5ws/pL7BZ9D68u8BPAbm8bQCnMrWffC0jRnn2mjRe8L7bkW43ISzP6cgMfHRyHRTOzXFm11iMKf807FtWhcXJfPL1Hn2dzShzk00nY9gmjJtwWAAXn9NQGosStXH8xBL7N2KfXt6bgWfVSu1vN6eq1RJ2i0JDGdi+tD+3gKz78Ew1ztJ3bCG6kADENCkRgDIBvJYjMJBaku3Vuv+MBJLB2pT782BVBqyAftYXngvjPYJtG034VQOzUUIBpfRkPt/SGaJGpb4QkpKam2NVHEs7zsKM85UFtRUnXM4HDeTP6WG6EbVXKb0UZXnHoNwsDNj0W7/G3PQpLt+3YrJ5uqOicLIQEsbem3KZrdF2QfQymCV6TkH/hHe6GKfziEwqUdf50EcMoNgDsAHZCGIjO9RQDiRd64D/RzzBTCQuzD36bO+FYb+OmNeyaIbChB83nqpStdDJpWaJXj++QDpRgg162FyeoF0gZdhNM51PPT12QLm10irhTDUgwA9I7ENb3dzb4BpxRJoFuxQ0NHykKSlsBYerKPW+lcCPxHmpKnfQKCpMBi1/xFWtUpMegA1fqsr8NcoSBkpqX/YDWeDhPav4BtnrutyINcD3Azu+K8qNfqDN4fGZwEER8BU9JfdjBS+A+Of1eekZxsAX43MA3R0E8pFjoPp16DLEavQdPhoUooIiKmVR5pLpSRC3kR1cynd+xZ/t7aumqrmqb8Y3xCYwhTGvD20bc2+6oIzVOHLPqhZ/KCveS9KLZpS8wX7/EeY70AYgVWZdL9ahtJKVdaU/RZpNhcJ1drXfaHrHlSV0l6yC8/WT2i/WRmTAqygXx36jxYJSwOe/L4BAG3hF4WXqyicYUqQ5ltTZwTPu/Cpvsw6O7drvx0fa2L1uaVNTgKuCpjOsxT7k39PwVeyM2lAzzAfmx20gfG7t4jvisc4l+7Nk8nrzSpC83Dt3huTpBI9RVDY7ezRN/hcOUDzdbTqctDdPswG/JkD/An3fQLj3RsN4cXN80mlI8WpFFxPwxdufua21bAm1UHAhS8+st7cRch6vDwHajdeahBXYMWxVvTn0Ni5HwAD12fYibM5gL+Phb5nwYveZu+qrZ3NubwaK8l3CEZPYTl6EAtYQ3jMR6MLWe9A8KFBN/ymGWuygbWYWZMGPNdIVN0E+jPd114G3pnp4Hk/BpeD4L4XnxkBm/iMGt03oK1p+tTNUvZSiZGmfmklyFx/oWILPg9xhg2gU/v+RmUAGrk2uomeg/9ZZlRwtlmFrR53R3O3IIy8LFN8RzOsl5rr3VZxYV2NH9H3mfAx0Hk37nGPPgtPyPDOBtDCGtyXAW6fUjbV+BOtiZvYVY2/acVQ20sCGbEgDIWfD+9mtG756UGYBqBuVprq8y3jqs+9apsWuSlkn9+HFesC1sTP3MNarZM0eJkSjwGGX2C5snnALShQbaCbX3l8xuAqzfz6f2d3eXbOxeT7M4JCZ8ZpASAtr5aDPAJ33WfDMUWX1kr4h72hjGEGipH5aq0WybFyoa08/Xl2l9qp7kJblipsa8GwMpbBsgdBK6tynQAvz0RPZykR6cP4iA2XuZQU7cryHMUTNMnsh89vPFzaiLYdMRnfOdxFSXhrosVtCoO/DaZqf0k1K9Fb/95OEPpUGKV9Q6ty2F9k86jOm5xuZGzG1n4/IeJe/SB0L9T/PklW87T4bq86CRPSF/cgX/pQ+4zhJOAkMkow+YWOMq9SDlKVDdCkNMXGYte/sFlf4sC7yWRQ3v0wm+o9/L9KwVtC3FMJ7DIfUMmqG5uyKou6NwdpPJ95gff/yqKdDJ3MazM53XZoMrhe/G2sqksmk4QFMgf4TjaOm8Jc12cZ9+PMW23WAhf+fmPATQ3PoCGv11kwgwE0d6pFKbR82p88P9blegIz9DF++A80gcF0L83RHMdcvgUMrEP8PgUwdkUD0exlfluvAxGjuIwMLQctjmADqJVtxEb/lrHns7nNf7b11DrcL6CaU2awj/mMJs0XMjeDmzIM4hv2x5/mtjLWP9msrTg4txEEdgRCjAUZ9mR+AqzYcBbCjObIsaQ1nMj6Z/M+zTZqwu/y+dcQ4vRRmh6g/3wT9k/Gv2p5sx+HTk02rhL470iveVZtKfUbzWrju99kQJ+xTjJgfSnb7lWPfNXhUZV6tkUjxsRbP02KBls3it1hUIM4YA9grpTBqDnY/UMtdiw0HWn0N//fCH9nH55pUNSZv+JTgvHW5z0jWTg1Rn22GyL9fjFMdZWOIjzT5uaao08iKnlTtNoX0SR3Bogson9AeegLUzTFQJZ7D8DzD9rUP7vUTJiX2rcgb/5uN7TmH9mbz2HhWBVm354xW1ZQge8ttE4B/G/W/rDVCCJiPGKxTeDtsTuYYKj90IjX455haI8lOvW/lxK10vel+E0/NDaBf9u+73v2mMUUTFs6kTmbx2uQo6buUwFbmw4cSm1iySPTV0A9HWD/HoaTzb63sPrFaMKHMl+1o+7Q4S40RQVl84AF+3/YZzfyO3OVYzj1gDH1uu/n59qXZ2YKzShgWennKEy7CrRJkBdgmYf5yIwH81p1wWzNWVcge5W13J45G82rj1bAaQQAaGa+B+vQvsQWmHGwH0Lx/jzzbio7zZwqsxNAtP1KteJ0mHoL5rEphLH8agME1tdYNxWK9qX9l2een8AqMJ/IWLXOvMg5VdE4F9eLkeEGJxq9vQWKj/zKdpGC6c3Q2G5d2eyjA3i+ZUytp2zuu1XTyla3s1iGwUAPYYkUJG8C8PdBAFGzR4UrLa7D09l7u0MfA616IRD0gB9cx/sUxBQ4LeF6IMLtF4zJ6ntqpM8TU3MG837pr8KYan6sVirGam106wjYCP0Izqspn+djRfsOfqHl6RECr45mzp5Pg5Se7YIvHcHcdpmHoYjtjzZsap1gadpYHt8PYp4GsL2MApjhl2XpqV/5IaxwNtt4G+FQgq3LOgsHF6ARWwxjKKitLLMDY9Q838dYkCRehn3LGVFY08f8Cnxa87mm65krBfpO+9FqidGyZ6aJIG1DA5VDLZx2MBJ0ywZtZanl6bOxAsgJgIgStRJ+C5hHcig47NvCtLrDUC5lU++PueEEohYFvr4MbDCqv31OG8B03Ly7wsRvh3HbM7MikVEulAzpEkwyEshKJRYM74SZx4Ou5Jm5jK4txybaH0n3IO510p3QEM5EAukHkFm7dVXG9BuMYFc2z/0EJYzELCXAnYNU9AxOZquGdIZAf7Jx72HCOvktpO/vLE4/CKZ2FgSykfh2DUsO9+3cl7nclJsR3WwZxXMwD+nQtziAvsiWtfDvwDg+Y5E25oBNQThMRBeRyQAc/m/ouwe2HP+2BF85/v4GB7prNYIw2ODmct2JhGYqkTVKVbwfNK+VYAIP28X4L3ysqS9VefcHMLpRrOTBWBCeMu8YWrqI1Wl4sCFMoj6A+DBWhUvZqAYtlK1QosSvb+QwNFADhTzU33KY7+c59xKR5yYqYHw3bWgOJuH4HALNMB7Omrx/ZnOJAWeCkoLHPdB1Pzb//zhAZxDlbENuLxlChvHp0ypXHt8zk7yUOZ8G89+Yd+gj0kqiKfkKNq1aezU+KZMxOMAvD5mlMzW7bQxw6TfTRCr4e6gywllm3TRhCdpPsY8FMsuhPYuZaxKm1ds+GhivenD6kvc8mh6wdai9i6BRnzG8YmAS1/NbVo1fAcVvhxB4A30FbMHL626eYcSje97DM5nv92Hm3QwG4r8VtlyXJGLcBWXPd+PZBxBs9CxA/j7P1OzmO/V/7o6l5iesALtTcP8wAm+24dxYCekABFLp1752JMEmj2NOXQ1ANvrYPfg8qUiC7F+M5SxAUP+c1girq8kMrSX8AJ+xfZdR+6Wi5//DL2lvcJKm3Ry+Wz1K+ipk6jax36tauVqs9B6A1cR9oauoFvccDD8wzeNkxvAnDPdQtGZTgfS1+s4dmEc9xvUUpuCnOpQUgX+UZ36L79ZAtu94tpkCWTx8YqZ+5DyibGaPqTl7Vo0DOBf+9TN0+pLzeSfuhjuw5pgloFVEgUDz5h3EGWyK4LvFe6OSIjFJAAiXfttPcxDQOGfyP1f+Es7/hqzX7IDSpdbvpllV86+8TZeL56aslX/mqZWN7BWwXuCMmyp3il3LAJMbfyQYDpr5PGuKWwDjMjRvTe4KnR/g6rGustHKxn8YT6HG63UNwaAGef6EMGMLvCN47j4A2OW4XcwHvxNl4iM+u42dfPAdOn199K+hQZoW6fpYGtFLhUrhzzW1YcgfgNjr21ZPIv2fgTebenQgQDoAnng38364VFHSoGgwKwEKcTbNNipgGrmZ869181C+DJg7F63f4CLH/QSWhDNxjenTNKL+h91qYW7FRG7+PvPQvZFbyWL//+5oLUr2gvV3ZjO8DWDXtEwjZ0PNVG07k6u8F3z3f7TKFAjXIDtkR0BezTWpbsdg1VpVhlQ4VBKSbk+zuBTkjYZ2GHbKkqf6HltJeqak78wfzdLWb5HmSmS/34WGpRr+PRqRAG8YuojtAz9A2rsL0NWEKHBpan0RIr/Md00CV1LoQeDb/f2RgEd2Un9TP5/lDtU+lB6VpEzMXhlp0cloGjWU2kuzlAFWDyIdPWq0K5LaeWygt5DcngQQZAR3oDHJSLOmIH1DFAtcP8GiaOq0VrAlFjVleU8l5iQjF7jORpKxsP4I3lGfd+7ERvYzaotKvhYH1xYvmApKOzD2b3ivEW67cm93aGAllpa1quLDo6oJ1Z/sp/rP4EmxK9qa0pFdgdaA4SrVeDD0FRspuAeAbdDEkZSVqwRRDXVXY7ybA6NvYiXety8M14CEhrxfYUfJ1CVuxoa/gPtsofUBuWqJkZ+N0RCz6YEwufsYw6Fo6Zru9+Adr6IZlnriEpruCuM2qk8/lSlSmqObcHieIlTfUo2XccCMXDbI4oSPRiddKVy3QWwcpdZMTWQPmhKsAG7g2FiYmALFfZgL2wBK55Qp1FF2X+of+p5n72DXC9KH1LBt73cq62ZajlGDrr+dY0zreASwMz/Y5ge3ssdaMi8B00Ok+cw+tgpl9ikuWxxEn6HatlqH0eVGCHZC0zueaN+161O5pk2d6FY4PHp06h1jWtaLnjgvt/NAKfFKU/cp+az7I7AMRGDbFy3sS1vYcagF+OcY8x0wAKOMZdIdEK7WRtu8qRsFOhS5M6fKZ+k24LtpKQKyz9bvasF8I4VvxtezBqZkn9uGwKw3KaahZuEZy5hzxXX9sh5agem07wkO4v7DeE573tuGZgLXEJxxLz5hBRuZubERCiAyXM1s7mOf53Ay7MIz7fg/QdNYjTE8APj9jDZ5H24ZB9ASrV3t14jkW2nAbu7sy/2LiHyemmhnmyIIXdOmMnWUS6qjnUGw11swqQtxR/i54ayNOZbWNVbIeZ012ICxtgP4u2KW3RUN+NOtqsUtLXLimm7IpeNMf/rv4KY54a5BkzJpFYXr0QDfhFn3hQ9Z9MTAuR7s10YIskPhDetDO+lk7do/zJnPaM8SHBr2Q1kw1akynNn82L7MuePspJTSgf3r/yspl3gkYKa7YnaXPE5XR3/OhsKvgkKnHWskPlcvU0h2RSD+jfus9jUemm6AwC+V6rGmrrduAVOUrNokH1K7fYS9bI/Z25mbZ9N+qY/Bn8+B/z6DufQuAFTrljz3GAIu7Ty0Cu9/gt9rYcyk3QiCXgLYiwC/PF2B81EDQRmEGpta8LrwQQUq3W0+T9eTcRnbl1anM4DrCHzkxtHIh8zhfgwAFsBskarV8h3ibtz3Pa1wxRp6307Ekxh30ZpSnM3gp1aY0oLw/3Jp+ZyWvlGs6+pYwD6DLpqydecZ6Hc8Zu7yYM2NuCfNjR2LkLgeQtCwA+sl87EZg/xC0LQ/rXM6D1rJk15iXLOqrKepWwVDumhpOxKN2LZ/BoftXHPWzSiyPJQfcBAM6nidRdoHMNTObDWi0zADjMfcsgf1bdeBCJpPxybBFIR9Azx+CbRGTn0DUzMaTA7ftoEBD5gdNRkjqXhpbpIRDoPxDKNRp3V732LhvVQAZAz6ahpVwTxtQXuYmZGClilzES5Hs3uL303g82vz3FzeaY1PCWFXCCPLfLeSuO2gjJwVLDRHKzH9ACgqSQuaSm5WiLqX9ziHTeraR5T6yv/QhYJNo7bxLuN5Dkaub8UBVma88lH7rOr3dGMdgsTcHubxJ9rIJH63PxtNv459CfUjb2WpNhZgLLv1Ng7Cbby3Nb8TCDWCP8S9SptnkCLQa9z4+AxmsA7mY6VMTQ6WLGvAe6wXnPS1LJXg+jB32/J5CjxQB7BmmpuM/p6ZH1wBsKuNGW03FQ5wGXQwStbINwUoNR8l1tYw/yn8rKXhSTa0f8uAtTQ9jipeJpWP5eDsD6jLvDgDSRqRAUgGOhisUfZSaFKg0jwnnT3E+s6NeFb4URPXEyotm+aX+DY1BWmytaG0xeBtkWZD52c2r4HJe1LiczIwRX9SJrdOAcdUD31TCku+6yMY/94ccNfig5HsqR3rxiUvIt33GhtrVCEXtW9REuWuWfZtQMT600/yrl04hC/i43yYQhAlPVbpkMJ5uN8DiWCodcm0nH2gh02xk6gOuZ98ie/6Aa2EZKehsU4ExnkPYzX4wn21FXM0SOgdtNHr0Yw15ZrCYts4tQnPgvy5FowoKbRONO5f4/BH8U67Tr3FGGVGArApNaaauS30Gp1Kc4HNOLe7Y2a+Gc3ZJgJJsZbSM+veUON+h/G9jBZ0BlqzmmZb7pfx9YRZbcN+tvayKUlfIlQ14Pe/bFctuX/v90YTtZ+TMBnPUhPXE3Ddn7HL9J2jY5EUQ+EbBm0ZCdqOsTvPpsRzCBiV0GisxDSKA2Uq3oJcailbWzmtR2DCHpOYGwfCTI/BMrA/DLAnLoZDASyFDX2K7m9z0A9AKHyW8+2AdWNo8hvEHp7E+J9AMD4DYdPAoa2JUr4bYe8pzv1OrK3ujNldjuW/wNXPqXHLZzwLWrB0GWXA1b+Ls68DejLxm8nFPQRz9a2c9b9RBqZREUM+tTWfy2YNNIVr0lTHVM673WIc7kfmeiP8ZhMEopXgNxYKGc7+3oH5y9s3o9S3rpSMP3tW83GN1VQbcMarZlVJFKjygPNHmISNLDbDYS86rmm1vATtNJ89VgneuT0PU3mxQmAXG8pzxkyR/AMe+STn4ArmYxEKhWTTlJyvUddelkZVkzwacPwRF94uAJpfZXeI50MeYclJK9rtBi0Msj0V4co1WpfnWXjoed2CzFnedVTTyrHHByOTVEUVn+15v2fxQvBtZ5Qb3ZwP6Ivm2gBrmbUVMrhURmlOfqeA+gd76ivmpssxOVr/sYWzTGrfnIfexssUhTXNXcnC/jE6N2m1pDlsIJvgZjaZNnjLt1ky8ATUf6VBCVI7tzgxKybicgLYBNbwoyYETVpeRov1ZyLteKZpCaYF/AQwfoaZ5je0rKshkExVyW4gYLIqY9L5vDumDCNtC9kk12P+GGm8PRKDEct/wO00WyTm2dKJajbTN/o1wkI/GHNrNpm+w0sBlEfQohzb+xboZlFNqLd6yceM/TJAzo5ABjTIWF0kI19PxPw5CWB6gsXrBzOzNOD9mC7uZdM3QcJ68hsOKZ/zIDjeRzFb70wD5RwY0/P4PyzUUAuamdpoNQdTbHYiqGoDog8PQEscxcGwPqbmklqAlYDoJa3v5l3XosG+wOJXYzyatQ2G+ZU5b00ul874W9AKZSpJlRMWvCSCbsbL311a+tzMX64HeGzT5np/wdqYB3sEZvnVeIYb9sofxyamLoM61KTsBuIa23D5K+43mCMLYLbxg1qlRf1nvvTz2pt1d6s4sbYv8fmGnKi1YFJqoG5+D9qGaMHe+w6gqP9Dxn00dYGNbjbpfQ8EJQ+tPjMPmGa1TCCH77wbIcpAAzuX/Mqa7QnzsEuXOcUWrTC9xyChS/ZaLe58s3fc9w+msZzs2GP1vFgL09HbpKrcgTaoFcP0HRtZKByYZ6p5yiAi4xJ+JtjPnFCDWR6mxZ5BQS8APE8DmMOhX3XWWWEuY/U0N9b12huhwMpZmuIupLpTZ85BS579FpL1IRzw7WESMtm+AJzmSQ+tARc+ey3u+8b0Hsa1L/SYqnaKZr03n3sZE6yt5Yw0NcXJfJWpFWAmML1voIPNBTTXufXKMoz7AfZ1oc0ZX4yNi2kyfzvBQjZgeA/gNapZgNqYNamaRUwA5805y1QOY+yeZytdWWNcd5IxGoM0H4vefCmwyZTURr5hk6zJmDfhWf7ROhAlHpXSm/mtwLCgl1rzq4CSgK5L6RrOohYR83mfRpBTIH2ZfWZgkkFphaxtIwfjMPjZAvHXc/5/GVGYVMM6FauU/nwZ+UmAibdZw1kBdk6XgkemJZq0sG+0wVW6S7xcRy1CmuIdo1+zujzbdbPyCUAzwr/EqqQVx3rLprr45aW25zk1OtrASAfbAFDTdPkigsI63Kc1wx7IKgtGY8/smiv7foMQ1e500/yJqfYGQFvh+VKsTk/B9++DJl+QVmWjdwO1jJjdm7XehnWWV92E0qA70aIVVTkP3yAAGOPjprAfr5kTm8Ent+fz4oguE+NDpJln/xyEnZNKMSMzLhWpjQn0s656a6yjb2DNm8q7Leu5Pp9XU9f9+BZxIu8CrAbWKuxWR2l0X9oARjnOYjxWrvNS2XuBxixGEgvUW2M5MBC2MftC96ZzOxazusU+bByQqXBocNY1+LxVWowonpWvtiw9s1y8y4mGs3KSeX2HI/U5GP0zJxLFuRUD2AziaUq1ce9bTE6G/BE+O+3lduswtKUrRD2WxbOo/PX4OS5HqnGTqoF63YrmIhHdgM3ZVEez4e7ANGVh7DNhtqbo6CvdEAIMRI33SqQ5CCaTtwrLsUioIy05xPi+MU9Wk5x4kpEg+KebcLiFJxh/hfI5iXlgazapm0NiJaYQuM79LIqRotkQXT/L/p+UFLB3s7SCIUu8W2HkjwOYZ1BRyMLW9wBmZsJq1nzaHrHMNRkDB+9J/B0Ge13BQb3fICrmYyF8zSdKWxdYiAIGa8GEdblPk6Z5pvqgduLdv+1cOyk67qHU16mm/RzmcstHHkFx/ROQ9kzNKGa+pxOdrR+yO4dqA8brxlZylrFZYF+hZG6u9hw+Iw0fYeMPAODMfTZIwUpLO+5TEiiVWQeTrz9jo95rVKJMkXmPZJMaLXka6yd4qMlqVjaIQx+eUXynYfI5g7UTgG9lY2qe+19pe60GeAcE7nPZf00we+/L/jqKtXFuWyOEaPr7ibB905cU1vTvK4gYmFfWB3sqEbr6wUyOf57vVppRG7SOtsKFDMggkJz83GjTfqXYhkKvPSZiahtLhSBzAfj7b+y9l9AQrf37MGbcc6gHbL6pWrHl7Z5GoziJtBq1aqXYdaDTMwgEdprR9/IkxSCe3TQ/uf+9QWOSQJJmCIkyUyM5rf2r2dR+n4LTNX9OTioDXUhg0PvkSVsg4n6Yz0EICtZ9NtjldsZhgRF7a1pm062mn/YHo5xBTbUMLyt3KQTdtSkNNRACdvhkTNxGS7nuxE8YoZ+AbOkZ8XsSJUzqTfXsaomfSjPg16yXBThM4TFuz/iLXpiGbVqvv+mKnygnivZ6yprZcQU9YhWSbVgvEJvDqzVcv5lr9xbmdQsH2DnLRgkClPmya6DBng1guU/F2ITPlGrXc7Nf/+se3QgN6YikRpWJHTCK3qpbCjc2M9+OoCUtGtJKF5NrtBVnWQvcywh/PRAibqO4vhWwbOShxcbCN9KrC8DTCr4ys++/7JjMj9Wl9dwm1ZOm5BbRGc66HUxq3MWckW8Rtq0tIAEOBxAata6Q5Pg7XmtgZ0DYZ7qnNis1t/qzQYK9GYN8oeyl1cdLwSJZZIXWrarGIfBuUlrp65qbCLL28J2E8HQOlsB3tZqhILWHt2d8t5lnutZG/3+kZszesBPVvuy/96BPXmnd4I0wWb+IFc7iJPZZtbe1FcH0bRvE+jius5oKhtDiSACzPVY5A4R0Ga3HWTIIUvdcN4KfHoZmN6P4NGCuuqDEl65EMJfMqSjpomPE/+sUOVFAMh5BN+XPw7E4MM5tkk5w05J66ifz3G+wKh2LUvQX2R9GfmuxOY0sh2z247vUVTeOR94rTTLRwvqLrcHwCe/bkvs9Vwo+T29anXoL1K1n/4h9ZS/5yqyUmZn3aNZZpXlRxMwkbd7uZVMYJFATKdlIPTU9N9hF346OvQAL63a+nrR6K5dILzfCNPV/vkPbMaVw64Ma6XY+h3V/TMvfoKHKxJUC1FrcsKL+LUhG9qd8BmmpM5HBD7AAjZl8N7i8ZphSl0SSH3ry15OT7hbmlV1CCcDzYNAPwVRGyAlm9ip7mj3BfD3NXHSO/7FL7WiNRG91kaR1khGQmH/MN+0M49UcaiMBtfUsNrPvfAIAlaOxJ+JqtLm+gL6+Tn0KPl5JJovn5FMmRYmwIotuTeMN2EAPAIxfseGtmpIUkOAdCZfj0BloLhO4FRB4nA1lRLH+EKOn5Zea3D/g6wwYgaClyfN4wPVxnv07GzmDeD9C1x8RdByDvp+9eObZRHCXbS04O4YkT7sCa4BlvdxIpyOdHk+k+AVogE8SfGa60v8Ave2RYrdD076Fd6sxGoy0Dn5wzVdfIVzYlag8xPA5Aqe5xE3yqiS5uEZof8haVzG1CwHgJECxNRvZQglHYPq2kYDS8ltEINfi0PwGvfTvGIim6fwmzOQHsH9sN7UN+9DcMwNjbsOS4hKXvdSqrPxkilBjAEmGZeS5gWlbNaAGcMKwEEBY+ncnwPgB2fxBxBTQ4SfK4+PlcBk8Yim/LxiPQKJJ8UnMpD5bv/C2gIh+VDVagyVaMa9zyA09nUCfXdA2bMxuZaYu0ESmcGarfM5NSST0KQCzkcECrLRXOtZ8qzZjkJJ+Vv1tnYzqZawecHNtZZaaOdXMLIp+NmfKPSrAP8Ma6FZxL1oK8mb2ksEwOzFOMnCS99iM4LENqiR+fQWQjMnffaapcS/mmcG3I/DvZgpfVOXzWjYcrxq5AsFdBE8pHAiKBqP5e/Nbu7FXMvKtv0vGSXCXZmnrN9uSzzSom/Bht8Xcbd5xOQ53SRAnKUMLCWAz+yEDrgrI9oK2gpE1xb+BccufzHLwUK+LEPoEDNeAMStNWarxZf6u7CjAKHj8CR/wOVYich2lu3O1fKSutQyPMpBSoNPMrPlzR4A8ycflXgOQugBo7vnkgLMPTwIIjA35EkZ/Dfm3l3O+XZ85XaY4za7a1fbEJ2wDEMqvLV0pIN9OVKxzN+hHN4z5t1pn1OI0IT89U5SzOejvoAU3ZS4K7UbbrgpoGhTlfIayH+Xj+oc/tFkCz2gO/zqHs21q4SN8GSirlesusjwuRNkYyRnwZ4v9aNq2V7iBYJ5FW/51YB0yXcUUlI049vqCsVgzWqHZsWoplc+eCV86lC5cVVggz89dYFEuDzOJ8kai909AMF4XLfc+QFvL1j2afjmP8n11s28t+woftUCO6YR227KH7ofwak3mlmadRunVV/tOIBWpKNpjKSwblDanNfp/ACuI1GOwLoA2++ss5s7i7MVkbZx9BBrI1mwaneEWpyYuNDaEoRyDlNCRScuAjOZtAbA2QuqTYXyHnV9G1PzVYYl9XefwxQCq+ZRqvWoTpntY+EEH+4MQ4iGc0augxXwMUSWa0rrh3Ep2NmF386oZylHsnJC0i5oZXN39/l6TsRcPMSJM87TSdQ+APuHO/N6CCZr9lPq2ZpF17gtYRv4mUUulqT4+pj3gZdTl9szbcV3CISWDMJ6FJj53D0zCbZEUlQitJ3smUqIBWvd341D5DsGVcRsYsL4aMxvYlAXN7Womj2DmsbWdBS0swLEuNFPy8tBZk/dRwEKtXHPVV2gavxr96IHkwKpNqzma/1UFWj4CAH4CsLVkLWclbVsAxMAKm8XLoC/lcBvYcTiSpuXC9MW5JhYM0YS50Rsj4g8+43uUIK0PbXedj7avkZhGR0OzvTHJXIpZzvUS2Nw3Ci2aLj/doUYS3Gbv3P2JoO7N2IehlXtg1O6egfm+QMCOtsJsfTEK4TA4i2w8iEm4iIOo9cQ0Cc1kZdmQgPIT836HLxPrtZicgcCoGdUcSZPbnaOMfCTCmJ2PuqKljEaYOpAxDp1AziQH+bjqRbFz3ZVjEED2EoWEGwIS5rGpzekvXZVclb2/Gk894JK0CYRnAngK4zoOs83IFap0TTge98lRFh4HlG7pbPoSe4vD/RNlATWHeel3llnb4Hxf/JfXEjR0L187Ikh04ndaETxHwwtJU0JYXQ16mWPbyULmCERucyOgfy0oTpoX/LhjNTQuNN3Px+FnzIkjAXR9fRaDuJl0nG0B0mMRBCzUovCToWHZNo3Kqj5X+VONyXPnmbCN3XaJCZvynextC/rfwLzVXi18ch0ZBc7bZ/qlEqWX4tUBxVTXQgtkLvUrFdGMnvzzPBtQlPhpvdn3LQwT8ayYnnOwhKd70rzNYR3x/fJic+S3fHtkEjCXw2RbVscywvl+ifFZItMiCjW4TxOo0cfuIfucZgL+fNejgFCmkIP/NmDQvfcF+a/9sEScj1a1BedfgUU++CtxD5pwr6Iw/TEAUBeeuRbRrEfy8wVr5yVt1Q5DkJrby4juHpwvAzlFcYvq6FN8jeCcTLnS9/k500jjWfit9dQ7URbQcb6FAK8WaDBc2Ut31vc8dzTrl/TI5pz0tiYBZ7wd4OM50mJhg4cr4YGbsp+NBjb61xKzptrtpEsPYbk/gteGWDDMn98TwVf6uU+aPT809oKX7Mh9aqBfw6usync5IKx2+SqxFu4hfecC3x0EUvZk/PILA8hMX7od5WAcU/+L8cqXTJu5EOuiaW2mAd4PnmxMAZST4Rn6/NemjaVuos1Yl99KW9VdiQCh5m0HKc3tuu4GTJiQlKMVbK19nMsYV7VKzwJc1IvDTLJa5aRQ8aEUcfiHl/5EKzcTn9VY9oBxGQkqQ7EQxHVIJV76RQ00Ed01DTwLKD6zJQFSEPdtNqAlsmRu+6GF2F/UMmZKg/b1M7H4CD63PRN4kGeIP9avFfB2hggCnl/63QSDX5j80wDQThBTM0NSxL5Mek8yICThmnDEvZrxTKNDFR95rpv8OGzppeV1ppPKwg3esybashvxGZ7/KT4HE9E/sixa5mJTWaLONm6alzUrmKwtSKqpG312NaD2I/T4BfBoWCkXkM1CeiLymbEXmqfrRoahPo5P1aowl+Pv7s48kko7pSZvgz1eJfClbhLVig8AjqdvSK1gTyRow+UN/vo16WlaOjjufQCgPJiNpBndmsRGC3+IdrMlQlGmElNmKvrrXqAZ8XEIOpYhdH0FxDfZmEdzUB7tWCnRBPVTG5q2E4fqbRhqRxiQ4fuHckitKnQq93pY1sScesba1WNtKn415Wf9WAoWBrxMZb4GoNlHsi5rtSbvst2b6zCQfaA5TQ3g3o3y4yBUcA+Xvj59I/Ublk+KlyiMHUywykrQfV9Kt7WGWWuysoqXFpe3maeY/NxWNZOmB/p0rNjzIkU3pJcVWjQvDea5FyMYfApY7I8gcT3Cw0+s1RUrVYkb3unHGPETfTw0NmyGxM989wGQtFDoY9VnaIDRbfhhV8UEqUXDhutqoUZk/jCyQjwOCBuk5L3PY8oS4C3EP4TcSDXXLphHbUdnqUoFUvFFAcrUsV+I4n0fGm3CvjI/U6L8Ybca0Yc5mibXFC/LatDgHUyvX2ICU1tW67WN2O6NcX8wL/2hXqOh32XUxf0dIfcqhAwbppt2c9b3Eyjfl5NokTMzVj+X5O8hLKqRvozQsxPPNW3MNss7EGFul5X3MGU7fl09Av2ePK8sSPscQUxzs6ZiGxR0/Bg/FoxaILYmbhKwm2iwJTA/xUCwubis0WuQklYdrUhqkQYRzu7y7AmuXt5fnv0oyBv3sQX7wmb21yMIvwAQee+mrUrcQrqkrM1uIKSM6S6EX2MSHkPrSsocMH4zFQQHFQVL7iWddDhbFthXIb8M86lzfIoxy9O0YK3D+bgYq5UgdBZWOONMRvPcEQDjvICr5k3H+AZ7vJvxJ9CxAXN5BHOmCkDmyoCr/96fMXom7ZD2ICbwu/LGJ236LJZQ9pIfaR43QNOc8EzUnXmlD6MAqanvSe1k37kZguPd8D0vg57MCnmCOsAHo5DtibDw6W6142oijy3Gr4leq8cepgbxnDMJEDSjQwFOdmfbUAtlWBryHj4zhTFM5ew8X2QDeRox8Hsj8i8BhPVdmx7q2pyPUH8lsSWaqe0y5sPUSLU4nE560D26J3lvNwQaBWax4GI+8wPg/b73s5e0oFyAgG8wnoGSh0ErW0xqwlYwuxdrmo1SkhKv83FR8iYSf4Q+jCEQ9RR8jdbE9BAmhwcC7IyartRiMvI5pLwYhXcUdu16SNbWidRf8STdZgyl1iy7EhvObgmWQNSsIePLlPLaFvOJ5RMNjzZYRfOI4eVb0HptP5i3J13z4hTGk8Xkp/KM19mwU9moLZCe1LC68/f/V9ODRdfnZwqMh6BuaWUfzSPTNV3PdKL58p3nGwShqcdCDibc24RA4GgMkzXgJDF98XH9B/db8Qlhwyi8rTnoAp+L6T0/IIEdxEYyP/Ys0pS2QVjRPH5fEaZ0aFgVoGmEFnQhwWPfkCJR3uAHFtpiFn8hPFwBeAva+ozOYwwt0d62QWu4oztmGmozW1PzJnzaJu1fhKntVYJfurJpq0H3qiChpla7mbwBgH8JM/mLDbQt2pCm/Qt4p8Cnb9cqPR4qU5b00+r3/pGNtD6bexKMVK3qG95l+pVEegwAk2GqZbjRjCh185qa8Cp/s6rLCTALVRabU6+OBcI6s5ps3FMW/Gi5dna8RVDEMRwCN+5jMLm+zPV8zNGuw6uWoGSNDZX/mne7bhZDF+Ba1aBpAsLDh9C3H6BTD0b9LgJQHkzqStwE+uW1GhzPGCzEruVCX7RpZicTEGFktYfWg7Ut863paebnP6GPIHATz6i+Zb044u3BaNjFpMxg4lq3WtKH1oIc56Op3UK6iq3iBNab2dtK6gobFjB4BkZs1K37zlxUNbpb0OwsCmE6hZrw0fSNtQCEJleZnDnBljv8nH1w7poViWSnNSLgren8a4DW8oeHcg6+t1sLgHoovlKBb+dPxiaaaHPzaRFU1JTVdm/hs1uhuarh2hLyOZj8IQhAWi9uYLwCoThjQw6FjVK37f9jFfq5LTIigFpz+vVvC5NUpJdtvcf6/Mh4b0Cb0Mdm8RE1W3vEGnGp+T1TUk9z68MAtMFbCo0C60HfjSeA0BSekqhz+UJiQuXwTJlJi5oVD9Onb9cTQfVEXFX23T0Vxmr0u6Awu/KbmWe5LqbEdcGP2IU99Cn7Q4A0uMY9r586MaEznicR/KwaZj1g62ebH/4GQGk3L4vm3A7IaLlzPWWPJ+DrlF4G1X3D+rWAZrcRbyIg7Auztl3dgVhw5AeejauJ9DbmpCOgdQVWvSbVAT6YvcKD6zOnS7+fubemPtpMoiKfuZuzac3hdrVqzLIlm091nnYNMtgQw0jCBzJvs72khYU0K2slKmZ9rEb3OHSuiuvxeoDK9E2Dpe7Famedg7VYTBUsw10MMFRz/xhN/Xto8CJCvGld28BXjL2w4ITNUB5j/xwLn1yHf9sX2iIvpg45jr/YyysjQI/lHF3CGhzGMxvgc2rKuvfEvG/Mi5fR5+cjqCj0mk2wMbEaX5vLbhtR+N0dmIbFscv4m67Lr+GT1kxQOMgyb5w5Hl0bvsCzhnC/sTwqfOWRjm1GYM3ph5ifRXT0d5+Dda4Za/M4AkxZH/mc1inz96w9OZRG1HWGMffmgcNh7EqobjpzfLow8fJ1Suo77te4UtR/aVgSpbgTP+ujsd+r7e6Mqtq2AUEkbCIDpA7EHLg6wNILxmVgimbTIeZGoblux+ZywTWRGrFrNwpNlx8PhNQcpu3Z4DIsi6JfwEEyd8yUmY0nEd6Nf9PWc1/r7C8bvcFimRJi1Kk7vz0St1aOd9VGvU8k5PcbMT9zsroyrzosrhG491GooSkbzp6sNmffn81rNSaDINoy1qfZVGuWmgqUdDyMMo93LK3GPKzhahSpjHxrBAsTj4eigZ5sL1SeWZfPNgQwdks0Ubr9IO2qHWzx2vB4D635ZjQqOxUpoSk1duZgWxdTE8lpANF4hm/unDqK9W+fIjr5CspEjoBGjzM2q8noAxrGWBSMjNLTxGWvxCeoltIGs4oBP2+gVVeiIIXAei5/M5fRADXzbG1btR7m4G4w/13wEXkAhzCnm2EWrQlq2KQ27dwqUFEKuidtDTkEe8FEldzl2gMABA+ca2X91v771IkC7rPikFWKFJ7Mt7Vkm6lad//JQOGw5yNgvcmancv+2BbGtTGa0zYIGF6mKr3GIVkPEHvxkHrRnsP0A9YVmflJHFijPS3uYGBbHUB/Yw6uAoFagwLjUVguNJXJTPWbvq65CsA2tUEGaKck4oljg3XrxmddR8a0YWMB8CnRh+atYyaWNNq2w9NYpGmD98yRNdr6JlJgzsO/+fHmVZP3XIwv9tivKBrBswW+uzfMSwJc9CYdDbicgMl2T0y3+j39n89VU9e9cDiawPm/UhdVkxYan+U3tfxszfrvyjoaTPQzNN4CX6YBR+aYnksXnPPw4XXgno3fHRMTed4G7BuLKazLe16AMR6CMKOF5Vj2Rlu7YvEsc4+nR/yW4RD6Lb8AQNuRd/U/mOCPtOG7Yj1K05kLXOpyUVA1H3giv6KEbmIV2Pj9MTSjyI6bAXkBXi1FzekSyjl6tt+kGEcz0L2V6U0cRoWKkzgfWi6ma7Bz4YM9FBDTD3wte9eSnz+zRwV1zYd2AtK99V+X4CxgvMsZMs1Q8+B7xIwobDguzY9eCrhdAIhtSOtQaNqN6mRJVDe0/RoQq0FcxE+AyBnsVQMTb+dsrMLZXos9Yj7qm1S+MxOhpAzitLgaIVo+p4ZnMKm+y91h4gcALmpLFrWpxX5Zjb1rV6qJfoZ1/a96uJqCM1cjqm69ikstB1o0yZ2WKCZafWZ1GUOxj1YtQH0Y77adXqZJR11MC+bU3opwZsqhSs6IUheO+okZCq8inCSNI6hXfDoCQnd4+pF2zOIYn/YtMjbPuJGxm5p5BgKe8SeXYAXYqSGpnDQ+6QxGWCf8TBQIuxRhDIouaKLHsn5bMOZKZolAg+cpEEKPp6Ru+mQ2yjT9CRm/A993xqqmFVOLgqmH0vEoBOUfUP7s+Kaw9Q7nU16pxdHKemd1Ghsns0dfZH0ehZ90t/kD7iDrdftsUyHNYlFBspDKCL60fhijsy7rlhSsmE9LcdbLaJ5usqcpXr4fi2DpKIlg3Uh9X68zkV0ABrUVpbZXCW0uu4iaJP/HhrX3o0zjEhimuZ0WlL8ZkFJL1V/hZv4a4DiVxfGAlWwiClwDIBqdb2KzfgDj24RNN4E1/g4mcTg5dgZLrIz2Z8ksmaISpOp7Ej3MhrSPpwz/I4SBikjHBRBtO4v08753MS8YGWyv2vJsZGU2AS7RTPl8PxbYeqI2a1ca0q97MJq5DNuanyfwzv4cugcBYM0RMg/H7aY2NcD3+pnmHBCB5hkO4R5rVols6KlPLp+F2hktyqCXH9B8jV60m47M1OeoDYxjrhcDlj9qPuV+60Ijk8S9gO3JtOPLRtB5rbT3q/VDNSvKk+qyeV5HctsTs62kaGWrOYDA/zVBanwO+lm0/3QCAuywY3T47Uhhd+PT7c67KsNszwAQbiCS2zw6G42faDs9nu/YEgELwDyVPaikfP1YA0aQ5NCC1eBGsKDWWjVC+ri2FBZnOT045qbq3/HyOZfhL/kI6fgoI41ZC010L5tbzP1nAsSaLQ3w2gXtW19Y5joPjVQT83UENT2E+Vczm1aPSxEMjFA0qlkLglqNzegvL0c1K/bLE4z5DhjFlRz2wQg5R7K/7ESiT3FLQH5jtGN92Z7bm9m3I1DPD8MPtuuaeXHCx8OjTt8hsX2LuvEHJ9T4V1M6jsXcpGl2U8yral76I93PHjyB5Wra3f0CsCHEo9lmJSBrHqxFxvZHYBBY9M0bFKhQ6udOBXR1uxh08SH7fjhCiAkhdrg5AaFXE/AR5KleiQ/VQLA9+L3M41TMWetytsw5NUAw02t2U967MxpDZ563G2exCQuiH1eTl770BwD8dmic7bECGVDlHvIEKiyqmVpW8dBVc4guzo33zdNlv1poIXFHGJJgUA8/Ovbboa/1ug9kDs9gCn+cs3LdOpWS+et/1Q+of93reoSYP5j/u1WK4nruEYQF15IoYsYxFwB7pmkz8BS1oCTqlv3l8w0im9s8WoNa/HJYCpuahc2Tz1xG6L4JU9+HvXSbDUCYt5Y4fYIb2KuVz13BmRQ41FDNL94TX+428DZdA7qOzKRwrJnLeutq2Y3hX1oUjJKdaIAbvCZpYAEo3AXgNUegVDP7BZofCk1bc5Znpcs6dvtJuwYqNFoHDeQz7mJWl7ikCVQhMGMy1no48+XzdKmY1WCVo7HwrylWzmPMFu9QgPEZtoDTBei7/TJ0/CAEFyO0jQGx/KHWDfnDB7hdtOLcAE+8hy9TFA6H3+yBQqOwphVjPNhgtTTXUsvVkew9t4PvslLYo+b6wzvPht4Pg0+jQPOkq1ESIRdxEZar+vAxy+7qAjiH8/8gPNG4hbNaVeAs0QEMvlGzfUnrTpuU7Mr7Nn92aDyEoKTgdWin0UlQ52EEeW4O/zEv9m/mMRhayH9OIx/3JdYxUzlsloT+j19mGeX6EQx3ZxiW5tIX+k6M2khs79Di51YkRkPV74fBV2FSNq81F+xIJMqb8O9odjRYwC+L2a+CpKyp4wQ2mX+T6UswI8e8MiHlZcfzMJvjEJigwGlgiB0fLDdci5+VGmx+bgEDI3N3wox8p/V2YTB9ePA0NoK1hg01zwdcZZz9QCfrm36KydS+jZq4BNWrODgeecdz0jdIXm5WiHcmDPtZ2w6VNgzfBwlZydNoXuegz+dHFqBsMIZ5XVaLMpdU04M+EcsFqj35Gb1KarpXYtYdBIia8qCvxubvnw8pwHdEtw7Th9hshoHTV6FEy+b/Jj0rqJjKo3/UyGs7ngxmntLRaLjrOOhW0KoGvW2btTfPeQcJ0wbuaqfmAVrCrh1jOJ8DciiH5hCkzbVZPwGxNuOshznXDWb6UTkmZ47vtdDrYz6vr2RH1tEG4pbPM4jDwCYFJCVCAyD+MTeZTW1QgGkO33HA1HhtH1j2Wps2iJ0A2KcoEmGh86469bx4ZgvGYyMJg3jKgutvmHCN9JNZGUH4M9LvUz2JzIQRaBEwuGKz+qQtQbMvYZYPs35qZzJOWxmuDuOx/KTRj+2412jEZzk0T29bM2lmbkBDEgTDgTwTDW/bd0YmFa70hX1J/nd33jWuIh2HyucjwxFUx/koRnipAROtnFPSaUafjsDVAhopoJ5K1aiTaRu3Rr6BgiVtEd/aOJ8odiLjARgD2CwZKjPWp3/2LxOx8JRPUlq24uxtybhtJPATpnC1SGsaJ9WROOjWAxbUTydK0mLivXi/DMeawb/Utj60FaYoHUfKj80C9N1bScq1c55fcYZ2R3gyf/UH/qaFSlO150Fepe9bgfAumJNatb80R3yokjv37IpgZcMK3RCjS4HTiGm71Gxk/iMCxt2Yxi2KsRGg5LnV5bAtGrYRzNbCNvdVc6LRownA8lzfPzuTddk9pHD/ATcbXb8ptHKvNOR3XUardZYA+dxeClazSmPTcmWwjfmOGyHkW9xFYVFBsyXnqL9V6tBm7J5iwNKq/L49fOkDLCQGB2n6Vtgxol/AMr9bgUT/rL56aW7fVV1rm7DfNE+bQ1yZMzxRPyHBamdT3cjWdFZB+oy9OjPIGuGqJrmhhTuI3tWHaUCRVrSyZQQVYgwydK/5GaPrvfQZu7zGXug+0gWYaeQumL5FhTcvNUn5wcPwNHNTBXLP+v0A5WOcqaN4Xg2FZ0zHl8NfjPjdk0IOan3D2UenYb00gOvEVpWSz9vLOx8A9dzYWMQyj4M503vgPlCh+AMeYPaDhTcsbqFbJ2mU7gTQjOW3KjMJg2RuB6JA2aruBAShO+FZnyKY/MrcroPfWsHqAeiY0fQ1T/uVuQzmOxGh3bK1guZt3Kvl80CsY7boNJvFNxmBbsCpvFtL5PxeWTL02mwmtQNNZx/DCOsCjALlyUx2V4Ahm9N9wGej4iw0KvO7HgXk1gQAbcDrQhKIF9eXlsHSVKIPzjxua9uaujK7YATNjZodZOjdGIdFJkwG3g9iCySauPTpKC2djFbdCSZegU35NHb285HkTZ94hfe1hombzG0hhHcx/RxPYIx+FE2gvwFg92NGdXHPxrSjFtWFxT0Krca6wjJkzc2ZNnzWFFVKNrF+HZ4rODsGfa5q0KbLJNGIpQnLmpqsMGV1pGY4LIwwvKNZHoyb6itICn9waNcDvN305kOuDWNyc1v8wvKP0t/gimRVGaNBZnKd3bEEdOAz9njtRAL1QQgwbmATxa9F4HkZwchNcgIS9OFUTTG1qGs+B4jHGHj1JIfhQ3xN9Vi791jXJmhavxHY8yIWC01hHqi1aaLeoVYOXX4qxR2AtuaXJ6jipHAhU3AtNOu2AUQUND4yTxOwNkDnacZrsYJu0Gao6Qys3XM8e+bACf1FHuJMTmoHC1LwWSXmo00I5+eqaANPYxrSpPMWVofJ7J+HELxesr8nNDIwxApSqp0W/td0J2BbnGIvmB4GgYS5bUTRCNOODusyJqqYXM/Pu2OyMpVpCELg0zCvdoCkEeQKMVajelbfDsAmE3mEyNcBVarjmCfxffioGPXbwPineqPED9SgJvWXyf/cFa3yD5jPHWiE52EK1ZT7i8IMJQF/teITIHVDG6rFIETdQGSwKSlGI+uuUBu2R69ao7UXzGnVEqIVRLN3IV/H83yB+wUC3iZb4AQf7XallZV0tWwHWFmo4jpMuDZNV9vowDo1xQd1CWbrTCjv3yhhCm0nAfqrscfPaEHgCUKRValMGxJYtf5qSNqCPW/JRHPaLVepL1uhoojx2NjctJ27Af3NmKuRof6+pm4RU1jsrsR49IkZp6HLx0IFroNmcU27WeVKYjo0lyrgZjN35Un/MW0uNFjTS9zr5kx7Fi2i4MearTz7Qg3zyhCNnP8egdvLuIRP4CXXoEGpFGjibgdPvLi01eTKLw9L9uMpnNHrsLSMZP8IYpkOKj5D7cmURF0pZ8Gb3GtjWKv/6c/kfOo2Mi1ky/qF8T2WpjUxvX4Gr7gBwBKUpudUlZmIPMzYhB4KUPAi3W1nIiDPfMlKXBP5r0qTl+dPn6ICzpfsgZc4P3tA07P5/OP8bAqWKXe65QyY1GLkWZZ3C8wqII7f+A95mZ13jHq3a9rrCF72hr0SIG3BWT4IwdgeylaaMgD2XHOP2S/m0tpNbT94SG20eF1Dao+Cq7SygI7V1Sx1+By0OB9tW172Oz9nUi816Y7mueb9ar2yN7B+XoUV+bINU/7r0tLgl3tKrV4LgOZx/brbMW9rV4/WuoD5SSvmgl5Zd5FvaNTYNZgRf8dUZ/d3fURWanJyLxjwopgJ0Oh/KmQzbQ84STijrKpTIHswgKT500hhMgeSVnfnERDg5I16s4KHPgDrryaLDYMzYMoNdhWSwjhE23owsYo8413e6YS3wefk8321Pg81JaVDt4spJoZob8RCvUlSsjV/f2CTuvk0T+iLFOjUJD2Ip6Kl2m/0ezSpxOTFe1wcpbvHuc8lscHwfSyo0a0WzN8Fxj0eYULTryHbMnpN5gaWtGXjWVvZS8C2GfvngL+L5YY24MfC3G0Y/+08qynajnU7Dcc3etG0IRvVa5q16bch6dPYmMOMLOY+tRUd9JvzebuXyFA0pXjANMlrGvE+K6yYxP4L766k9AgT+4rDYxceRVWle33hzwJad3Cwrb8rsJ0PUzCF4To21W1IfQJOI8BSDbQD/naDudRoDPMyZaochBzNxj4azVgNXcn3CNb3gdJcsyeZ72fkGpsDWfZS6hzBM132e9hnRihbjeomxuI7+yHoXEEUcX4SVVriP7HDzig+dzWa5dPMw7J/+kayEMQ8QPaHtDDFFGh1MIzLdK+fOSxPIugYxXkFQWBD4Oa1y1dIBKLL2V81GZdNIuwb7IE2Ot1G9/qod+CgCyAFPFfQrYX6tQ4+i3K51rkeTuWcAUQ6N4hiUGFquYlJjqTBL3VMS+OsOG6DPxowvrVI4+lD1K9A4ljNq32VHrSJQ4gbTQmw9ZiFGeqj0eqT3RsQuhNttAljXF1fHiB5PpK9As45Nnhnf3jmNKOV43cXoykLvsYR2IRdc/Qp/O5NW5vxu004N4dz1gTs83mWvvsTCKZ6mb+/RknUVUrXSOldWec6Cl54nu6iMtW1XelRC9N9nOcqnJ7AGptK9CJWoONo2G7hdQv8ayY99uvxdGoq0YKfxKSs1eiFjfMSpvoufsyhzG0AZ3F8ok1R2pOAMQVitbs+dIvonpcXI3MRnpU85nAdgyapeVYztlGpVixTa8sXqWdxuT99z95kRWwHMGjq8/5Mq8iZ9+iNCL4GYeqOuhKTrQF8Nlm/DZrIhFWkmqOdW8TF5wrGRxA4aCzKK4DTYfAxNd2yl1HZKg8X0sXJQg1q9crRgom5slYnstKYdcKfQ2h/g2DGR9GebuBsbgFwlc1AFOi/AJxacH6NFNYIZGSzAZkv9JlA8Q8jtEuA1PM5GLrboF4hR/6kCVffa6IhQsvNsQReCAjuwbjlWYdTUlSN2hTCyfAZ/fWmxBg3Y2xJRRZ5r1LzrRXRVDyKYMYK39L1f/A4x/iLmRRFZFKwF3ZqVCOZn8qRucDy7pcUZqGntcttXTkNpcm6C47hCpQ2KwfauEHLiFhhrI77+BkIdyLro5BwDlZKm2PsjA+8RDAtsRrMbXEdaeT9jlurwno1CbwEA3bGaqH7zQpWB3w6JmqwdmbSGAGt62wUY7yaOcpfMjg2p33r37MeYEK/cACawPgLOMgy8a85QJuwCCV2nGnRjk1qK7nHYLZXsenOR8uxsPPXaEQloeElYDMZYjyPWdPWbkaaGvCiVOcgNb/0GEuHCA64BQhk2IeuXi6x2b/WExMgks0dMGFbfiU5rlwyQnvMSvSkaga/VsJSkxvFAvlMJb7tIbjt22hfGS1eHx4jLOyQ2KIiCWq5gAXdARv7ATCM7xhTL0DoRYhqEvYabAIjLZNC2bxH6U5/mSZgtSIPWEkt15Km3mvwXqU5L+enCcjLknxnEmE9kXFsZIWUWviAAf1cmK+t9V7hffbJtXh9d4SDVsxbs5RFOMyTMzjiWg7XxgDKbQCf+WoGk+xEFafP3cjQX23XwDMZaW0OvMnx1vRVurNp9HuZgK5SH8UhgG8HTEkyGQOGmjDfgckBJJSdgtv2jL0I+gmEsocPiJjUz25yvhKim9u6xM/wWaVXfSy2erPaloBv3qyBWMfZUcR3znSZn3sPcz+XA2hal64E94zlKTV7Xgu4Sn/TcC7BD/0IHX4ac3ib6mOaRA4e738aprMt67sB7zTI0uYTaoQ3YKXQZG4Kwt4kp7sf9cVsjV/MPWukeWs+dz6lALPxL//JHl+HtXuSNTZZ3n1ubICA4FzrErFs2conERruY59f+zulDyma8clfY6K4euU4YYNaCCVYKNBKTXFSmxPcBNMW7JfTsQKYJ65waBWmcwl8SvrXOmjm6v49GP/OrQDay2iJ+8Cw1AbsyPE3DPHzwTAJUn0UDjsSPFQTLdqrLvtS4bDzGMzAaJgPEaE73hgBfvcl+0jhWCvpVaTmJIvIZXu8bsxXq4sa31OUgrwGM66lPJ9C2xD8NUEXsgEVCB8kGvt26FwLmvyK0LarcQ2sr+Cqz1Z/72Vo6wJEDe7XhaPJb0eep8Y6ChNfTVvqqVXCgD/eoipVv4qJxpyU+GkPTSxSpgCVCB9+78tDRlWqHJ+OJe5gLjjVUaW+TgWksxGMDMw7bZ1ZA+zxmA7rgnBvMicB7F6sIRvMJs1CAVWTs5r8m/C9ldlc7VnbI2HotgC0wMk2nB/NqhbZkcmauyo/1LJiW7bZXYLkW5iQFZbsDKYSkrm0EA7DXvkyAH0GAue9CM6C0e1YAi3WU/Zyj//IHt+G82P62k0IRHZyUonQBF8WjOUH38Ev3Ne2V8xDIngKEFNgrsnrVXg0gyvk28rN6F9Li/4CnYo447sS7eya6kYxOEsw8rxdyzsHcJ4P56wnpl46iO0BXVSQO8HnzGNNNghzVBmxWcI4XQjQXa30dKL6Ey2Uz26BOVlTrVscj0ui/VuKV+ueEfY7ow1bAOgo3FoGh22Au8w0mUc5l/YuNiLcQLcb4U3mBAv0Cl5zc72NoGItAYNI9YP/wNk3oPbYb0bSuINgUmg/gnNzAmBvDu/H8JVqjNmSkVOgZQfeL/1m7vM7u3dnHYeG0xLmpSPb5rSCaj4PUCJ4EsnOIhNGf93IC6zteDFBM5lLT4o2axmyKTo1YHCCVk02t9U6nPwvaGd9rB3LgF1kF3hLNooTvJ7NqgnR9IsfiPhM2oytTt4Ui38SxH2N71uWVnUaCiM5ALDsyUbwkG7LM/QPe3k4XoMQ5seq6d6JqdLo/2cxaRpApZ9Z7agVc1Sqy8Z8fBvjVvoRGB9GI3oQn8cWLOKvbAxTdrzUiK/vMjZ2o5qH0YpWoFoD2/cDCBEb1q6W+Ascw8NovppklGLfYMwCvRHGo9CkNni9JEBC5ncR70ku6LAnG0ft9Tc2h4FAMkr9DgoVl0Lrhzk87+ET0SR8NcBbgcNijWiftRIH37wx+18m6mGpGWj6d9/BGMbBeVswZ1M0ZKqur2ugVcDKKmoxngmPvTKN5iJNQ0ZOlpX2BeDzfxgf0xDlt4AxbMWX2p5CiNeswNXfuwk7wGC8zE3+Z3xh0pvxZPZcovrJR+AOO7D/Ckppbsi/133cr3DWHmHjUwDjOw7UPzCAmwleMm/tenzyatz92FtXtauaCADOpwOH9H32QW18N1pnNGEZrRmrlJDewLJzEYR2w7+pCUwhTb+jfjCLNFzFnnyQr12R9EdNobrRHxRF6Tw6po6ZFCdt0TCeBjyMjnbPuQ+9jBr1uceRkvMTYNN1LMGAWkucU+naqH0JrgmxDSBDo/yS1l+6IHYkytFiHypzl6O97jmKPEn2k90/9oIe45jniaTrSDJpfS5Ryh8zR838Bk6dhjsiKZvIPBzRIMweBoD5fruL6HL5EqbyApqmzM5C6FvzbAOpNDB243Obcg6M+FYLOQXBy8bbG7w7OmGwVwHO7gllBTVpTYT6uA4mgGsX0oe2xKxt3WMDC00pMt9VDc5uRlbAuh3/rP5kNUsjN4+jj+1z/9Cg8KcBUXVqtZKFmcNlIXgvaf4/9sT/0fYm8D6V7f7/im2eZ0lpUKieaESlkiRKhpJ5ChWliFCIQoRMmafMU+YhRFQqKiEaNKGBzPOQ+f9+33uvzj770POc3/911jme2Ps7rHXf132Nn+tzPXoROlCzaA7NqHNVxkAAL6mCZDNSbSZV8f7bN6mXbL8wArQ08j3yP40hJKZXjQYbYYAlgjFIkM/Y7Ir3IvFJ8oETF7p9WwbvZpCIetJ6aXK6PUtyXjM44xqzeT9DwUoAUEBrluIyOzAc5/N6ug76IestMSammXVuAwVoMufWn8EUFO5dpqIyeQHXYaBFAsvHPgZ2p1fIJnTjPJvtM3gozL2cviQhyJqOKI1UfxP9eCsCm2TBKpbUWaCB/YhzY5+vz7aez+6Ms+w5eh0dV5BzK7rfrOJPNfMGtrqpfG9zdLxDOI6co6UMfeos6wn83EyhhC9iRLQHjjC1bKgdcJLab+gs6U/bEqBMxFmYj848y/IpC+pkp+Ikv1Lus/vqfg4iQLAbxa4QnU1lpQm6yBpsPKxD8gn/bjBlZsphGHI0DKFzw+zj9XRa2Ma6mW4Gj1xS4uCi0kveK7FhXtDDlRgPBw+/jBEVfHMjhy4nwjQdZWDd7TpSvubKHbV2M0rRhmtnsPolBnmmfO/D8GloBbRYKF6CF5AbAbEPUiag9kC4HyKanE/NTborWZkWseineSDbVwZ/vzcUyv+yWM5rfVDTgdWA99tsb4SwghRUN9Kkosvig+aQ3714Y49dwdQSFl2jJPjG9p+JKGOBUp+w4X/hfW9FKb/AAdE52MLvs/Nc7fGKB9MEbV35JyKzk7AFiDIVLHI8f+JkCYvnGoCHiTK9ZiEcHo4WgKbSoVHk2BEwcpKfGT2EC60jqte0zQmtWVCEkJCD5u3D55UjqvmI5z/HmrUlbWMKqi/RSCZe5sQc0Y0ubkPIQPQsl9Bjth8ydmvfBRHIP5wiIFmFHoVaP3kgyd+tARXG6OhgiNg8iRbv4MBgPDmjyzbUR/qwjl6SYxjdCdpQ4PVgTU/rJduuInLXZnWV1psYr8uTlMSFpCvUFPk+HSrH9Jl2tizwFWjcmg9nCN+VFcF5hu/QYIkaTH7ZJ2cE7OPoHNzCng4GTayhroKBtyfaksWfvMCa8h2ssQ3lXwMaKozMdgOgZwoo5cQQo8EFKFDlajlAPvfPLIXP5uslFFGghf+f4P735cwGKvxs9LYR/co/o9b3XRrlyGLkhlywl/WYhXod75OZZgip3r3sjdN0/tbmyU9h8iwi3/GhQDG+w7RvL9DCRrSiit8pnSW0CwiQUxGbGbK/1x7cF0n76tfohWdTWEjke/AdmKE1VJF3Ijpu+BltcSjLGxiH0oL0bguQ0DqTOhK7McBf8volAGuewCn4A2Pclgg81SWQ+7PPUlb+gIGfhCH387zHJLENSlTF9h2/bwnoyg36zpmwGFslXhkdi76oRA1agypvselvozfX+RbOQ0sAXlt/ORBtz5EtmnqIkZUoMEnW/R7biFLKgnJht0EzlK/1ZlOPF7t0yrqRvl2Ikd3G3j7IvppOrbXsaPQqkbosWckv9YJ7ruOsDJxiH3UCCvDHckwBxHI4DvVyaBU/xch+xpk0orT3XFYonaLfyNlewn6lHB5vz3h8peSyTX4PGoh/JZ3Biz2Xa6eReRm99yyGuBPOg07uYmRELEl6HiswrNnbjvxtR76lH61QIHvQq7Yp3QVa2V5zz0Tu0nCis5a2vEzG8dYG/EYJawJ6aeB356MFGP5iSb6PtX95y0U9LyFwaMf3T2FNSxP8iM2QInUl3zkDfSi4uKcgUuSkNdlOa6NeBnCz+MyW6FHpKd/EUbber8NdP2lqmBzc49HBjt/zfamRR/vDp3NPHQguHIy+STIWnVbuV3lW5Rk0THVsHP8wxRt6ftETIRiCuKIIBl7U99vsZzbOqlkIy2QCAJ30k8h+AnAR2ddpN9tkHdq+YScICbKSmUrWqAk4W5aDJEhS7drm+U9XQi2iFtOO61n4qhTmFRrz48dBlvpmv1AqKb0klYr8jrdg5Px3WtOJpBQs4IsqE3RiQ7+X7CnWTkwZ3wL45AA5ARuPXTiN1NsYkcdRonpQ/YnYsmE8JRt4nwUchrdQFWHX4zhJGusBIk6J8+f8zCxL+ka/J5o4xUGU0qpHiSjUPw3blyFc15N3eAi2kRtYfDN0gzBiev0q1kUY+0dQKAMQmI6kkU6R5rgsEww1UJw9xlgqCTH+5BlLA8u/mWjWWvRVKH6VhkhVa8IaiohH1CO8EwEz0vcZTFs3wxtypuTv9FCqbURVX8uG2p94A88wEN5R+4d3sl42VV+GJ3Q7n/Eo0ew6Iv1meHjpMdQnOLWCtpqRKilqBIwiNfWjAlL522esV1igEPUVnkWqQD25JTgQYfh3nDNCmdlY7fBxBzlcRSFoK/tgFP/yOpCtPJsRi+v1NmsuElLhtE0gnhLxLOvkwIJn8Zp9X04+Qzj9v+NOdYRgG2o4TalPP8TzBZnA225FavdFjLqMT/KzdkNRuHcaPKN31zi+pFfzmW8gRasTZyvLdRwaX2d9xlm3puTHkIo0ghMtWArnYRbZEwE4FxodpiPmFR8kP9dMhgrA9qzByLdfthke0sTpUAhRRt6Dh7/s131RrpXboyblL4+arjsB0AOELc6WfZ8zqVNKmtCMlKjE8HmwgtZOjZ7WOdYu9h+0Qn4uisgBA91QVhJHjCzJ7GNqpP0w2KVpuanKWXj1y+NhVrBAoZfop82OHEvG3trabFLUUukyWkkYMtCOXlpBIg4meJs0dkne8y/WXhCWA73tMTbiNcUuB64k9G2Jln3uR1HODi/oxTr25lwKWCpGS49IYC/l18tb95nsXbS+P4zzIkOXvx1F6rrdRoYkYMx1vKZzjm3r0siW5x5kq3qsYJqoz+aTcNOSzs6KU0cZR6KaIrP3Rk+gK3Tm7GPvBObhVqJKW1xW4IALtBQdPx1n3p7xYvw87l1Nqdw0vqb8ZxKptMfJUtfoqI2kvTCTYfUFLpXyzZQWHATwFPdhlF4T4KAc2zpdZqzEatifXAWHcD7ruRP5crKLdcGFMsehbeXJDhHk/8GlnNZDHzsovCcZGFsndRaMkltwRu2SaABoUIrUQRgpHfB2XyX2+Fqaif1u6TM1ptZZvSzlGTjVvCYhaonx/tMWSDMfluSSLlPTDid/AR2wePvB6FH0RVqeVwe5Pe116vSGlLIKQv9oKfpu5OMg8iFA09LU4+hyAzQNoGx2AomW4Ux6Zh+H+cmIcQtyvQWHcC76VHyPQC9xBsqegZ62pBL9+KXYK2XwUs6Xg1yslVsbn4IRNp62FKXD4p773ZY33qS+OxCH/nE+YyY/cyb13wvCdzui1AE1AtqeQj9ZLnUwhFkNz4KR7PcOi6D8eAc28mXOjYDaOTgU/+5KEJk3DcNzFkUwl0U0nBZNp8fpFAH7WGNAj6kRvYY2eCGNWWyN7d0svj2UPTngl+IhjOVL4ykF1gsc2aWnkIYeCyHPAgZsFXmK3kkvC8ydb8saPGXl/3YWTE/SS0J++75ewdgsYlGMuvqRTvXQmL93WLiXgAHbQ+ogdI1BOyfwHR4ao1u9/ZUcbmuvbyF4Xnqdq4wy8MJcxJII5XjuW8+5NkZyO78zAhMcMQVv5ylovxYBonHTnsQo3MkzFwSVK2LaNOgTvMfFfom1fAYhP4qAWn8TMCL1mMLpZy2G0UgmKoFDeuKCfg6gjJeg2J1G0Z7MgTVxvSZ1sFGeM1xDjZUDbZScAwnuifc3EWXz5x/nEmewInAeB8FYDlH3vUGAeKtGQxozPfte245Gd7tOGFwdtwwYbgv2esIqFWtAr/B+2480oP7c/lFLRzHJuLWo+PI9prZNs5oyS56qsuYm72/LT05Fg+6BUAHloAdqDcVUoq0tN/D3Bgi0jEyNaf2yAXwsmQ1ry/GV/DO9V50g2zas4bh3GjDXWPnR2bH2Ux+jFY8B8xnc74+ordtuVBsZsc1IJWyNRWRojCC3PSBkvU0ZIdMvorREG+7h361uBKS1+EC05FvkC8OwkxaeWjgJ5TCGT66Gm5q1kJc1L4rHyM+6zmAa3gX5/H3xGtNgGiHBgNY4u1KGKYcszGYmrcZozAPZIok6bYt5lqhyNsr8dVLA9gN+/0gOWK2Yu8x9O795PkatNaCj0dRYReNmR+bmQu6whnNbD0PfHANr2lefy/12v1QWT0tlR420Ab21ooolbZBlykkl9fnZRpTdZEbhLeTZRzGVJ3/6NIGdykuxMjsT+k9Z1zvJJFyJQV0M8KorjoYlmjsgrLC+NZH70vlbxXc42SUDo/R0Vh+k3/b9P4n6kuRW1jaBPo/hUIpN8LKO5549CXXq7ShGa2wvoyhNe/bm3Fu2uBghgyxyRZMcWJGzYgRSXuIrLAF5qddsF9SAiv+wLm2m1md5D6dVXuxGSYj3+9BNljNaYUhlP7J9pRH6yUxYD3STXM2ikP8vDK26WLlqz/OP4xwc5/7cBsdH2tpTnfX7BAfFCE3gk4NYUjrCGteUlz3yXrNJnc676q/QomRwo/zp/M5D77YBMDbu10R2uPZ87ptEhvp4dok4lWwCZbmWgJYOoVPPcF7MNljblttZcJVcAJ5Fz6tOs+MoQ/3BPfCWOG9XsA8Ga+v2Q+vJew+ij94x6OEzF6G/Xua5jcZ3kiWiyzCkkyWDMAjLw4b9xWIMRycH2BzfkVU9gaHvTLZNIgqZAdUVdhUY9cY60jVUzwi8/BRA6PV8T2cc9bFk69R7Old2OLS/IRftaHD1Y786o6tdW59FmYnr62ZO/Gjn2GrPEuy1nEwKdTa9gs0RTNtvjKzifql4WLP3rFA6AeYXm+OzQy6Psl/8K2hdNu05p6OwELfhQbteklHo3b1M3tyZryoxPR2Voi0ugi9E8uqB5OP75jorVBo1hFzPJDbSbo6Xg6zvQCE723EoBrURDx73cI0HmOICOYtQpXgjh6spIJ6SIPNsBUpECCa2r0iC7jPKgtPrlpwBCKDXY4/dFShM7/1Oia3ZCImjTUfUpR68FqJsN9N6cS/qDIPwxKTLc6C7iDsjWKPJFQCWmlPQF1zhtJlb+B5bQ9x005giKz3WH/CMnwAq8jPKX0a6GoP5EZNsCvB9AnokpDDVLmLOvjEj8GYc6tl6Zay36Nw0fKiTKDbzvVs4fA65D8xzKkP+vyT1L7kC7Ou1VmN2ohOKogz39Rd7eRWCcgABMeLw9xI+uO6m4wqxt1cQLerdXey6nX4+L1OuInile7SXVgUl+GtztTwh9b6QdbNeI2qxB55iDe6h19dkRvguezbvZVhCaox9AeSjN6hmDbrgBi8jTWucOigqzWcx5Nb29U4FKZlteYbUusw5TvQQpi/KV7CKEazvVQnIhlSE13pfItdVoCpVa84CzTTeGoXnWOO1vHYToBKBKDpVO4+epsxBNuKWAlH6rbuj6d8fjvaRuSnKPfmsOVij6dQzZy85BBKSDBB7tZhoNJusXQx2/3teMfdySXBYEkf9OXxiI8/yKvfvZBHRu2WZuXoV7x9EJKkxzW1IYC6K94hg96+2vGw/zgZzVjSoAuQcJJCfyVEqi7YY8K+pBTemzqYCmMGs29DQjywUxjFUSX6JghpESvsVkM+iUesSOTuez2Hujs6zFakVRlrGqoVlsoTzS6Y80PmNwLCPxHnIzX7pNM3GuB5inypdAdCOPu+OsGGRHIr2ObuZ53r1BloykHdR0yOox2aWn5v/z5UA5iL7uajfXou2gAglOOD+G7KvKu8wS5o9/JIzPJq0ucOwlfcNGG3bPqyjXeySbtNsTKxH4teZ7tuI4xdmHSOP8k0bpVpT9usMMIxcp0HK4pkYgPO/kmeyn3wKKU2H3MsjXIWM11vIjxgJL43q1aytBt0I7f/CwKpjdDSU079Y7+LoDuuDb3Lm5E42He4sU9O+KnzRzv90CdK0JFaXAKEdcv8D+16G6NHA6jN0kxgRz98OZKE9mcC9eNs/kf63fc4NcsyhDrgdEdZxz6sq2EfLHD/zPgMfUdMt6Qi4QrwA9yOQdiyynYbXhabCkCVSHphxTFAkUcy/sCGFpV1dsTd6k+/dTAr+TUocZjzV28cJWGSH07CZldkCaE5yG8/6ywQZj+NEm/YXZ1Cc866sFNsDVwLfI92sgd+7IpoVMstAgG4a0J9sVH+t7Uh8jhnTwyF7mzYwXukn+/IHCYSS8zy3QNfLjfwaQYnPLTjVVTf7qXwm9CaN4mWtR+8iBhP4s0Rv5788HqMGw+j0bPI+HhC0faAX1FQ7kuhZviT+cm9IykCZRIyezrCQsSftxlubMx1bApi0a+xD+dmvEp3FzeMaRUncJae3VlaHsP0N0jC2XzSE8/deHIIPMUof4ul+hOfmqDMjLEtTpXg4Fec0HAhTxC3xxiQfEF1XWQJ0UqLxvf6eGoAM73XItQ7Ae3ym9b0aRKu5ETjrLS9DUP0p9yCasY68w8HzJy2EwTAVYt2yP0K+sFKugDY8zLPdg4I2ijXNOp00kk6HABA943R8V33TzTx8D7zBV1k7jcQBnk3PWii/KF0hEsvO0cfKGmpUnD7hc3WlzvQxHJ09qU3s5DNuYO1M9Uu+8YCKg7UrwCH7gvtyPW2aN61RVnILDo8CfYQFvitf4qzHPSh6o0vT7lMFu/H8g6mZXKyI7/B0jZWpKHtITUM9sWx/4Gm2fmGE2oGIw1RdDQ7vVg6za6uC3s+BrYDQPswz7jx6LPoZIoYS9DQqe0YEMk9NQ4mXxVgaN5kusu5an0Pw2cO5guH8QBq/pGsC3/EYQCaVnXthvWSfCHAOlihQexIvYW3tnzVt7evMxHhpRL1kbmlCZkYDrSP3B/vQC0Vg9sbI+hifJyhp206YoJbtjr6hjlmNCTulUQZG/tKC3sGzGcVNprbp1JE1KPIYoJCRM+I9buTeelJvrQ8w6ItKEM3P3Bc9TBS/pXLOYPSHQlJhuLmbPVuI8QyXR5CFeI6ap9HujaRvWyE783KlDr2LzvaUnKI7TElTMXaeW3tpO4J67kwNdBAp4zsxnvchIxpT9zQeTiD4yrP6M/U3AVoaCd//HinvKzHYD+LsTSCaFWSVEaPsDNwDyIoj/rIm1VUPCWzg2dex9g44MCO00FoZ668BMyK213YuqXCN3gmdA87AcRTbF5ZTVAycy4bIqE65yOp1yPjHZpn09Lmf/qyLLWjfkkZ8kgxWMkBuSC2baXCoSPJLpyAm/Pfn1u+dU3wD61eOqLQCKUfLFUbwP6PELVtoIzohI3L8Oi1qNqllnZOKyInzklWaIm/bItufkOZ0SIXRdC1SnSKPzdSYSv2/uBJ7WjFsrM3bEOtPujRHKOOZoSrH+npvr2FgLCcly5tc9FYEwhk0eO6eAszVCGIJDcsk3j8S/ehzm5kxSHmcNTcV67r/wj6737vDxJy0AbX+suxXIRrlHvF77Iv3T3f0jzruZmSvCXrgXRws2yPd06I4vLb82NGhUPpdDztMhe81o9KMc+pQgIyseyHe75APA4YvCZy8xEkMYh2sbw+DkS6kabgvJ3vZR/8wNoL27qCjjnB+8/OcZlDMdP106dmgt+xEeJX3nuH8q2vzoFvsSNnBOWmKPGmoXdcY9JncuHoPOo1P81y1YIT6TRyE98B3GuiIdE94FcMod+x/Mi1AoIyews8snJ6cs6o1rmnYzXJstIhGN8MbkvhAZOWrLFLGGOWabKsTYc6JSq43aR8/1xquEY3pjm+B8UtdZtrXHqv7ECD7Svtwv45ESjiXIXgWZUDWPQx3qN79KkP8arlDrVilYYrBHtRutIAYQf2CYF6Gx2aTvMAFD0IWrLEIyWutRRDRTQL6/Tk1M4VvAQjY11D2esM3kpMux2I6aUeEqbUPn8F0pR7lr8cAoqBk6+MNatCs/ZpysJbmAZ7/49GoDPeTmzUUjm7N4TE20NSDEatsUDoOts1oFGwBkT83FxbZdLzcr9Yx3Dmbwl9BoNujHCQYmJBEDBGAJHh+1qmkadvBHgnYaIyg1SBteiO1Fnt5TUEbnVrL2IdieQ7FIrenI/NcbycZ1eXPz6yjwA3JyJcTFcoQZYpGpOAKvPubWK8srKWGfSB7lI/Iawi0kioyW1I8kJfyrO9SHzGEf5HIuBHR2jPciyQikp2rnIazzpPIjNgruFADg5C/iNDqiL2OssvPuqpEJW3ogdGTpN+IPtAEcjCtI5aiLiSDk9mYN1h7sxwyQJnV0FEztafXKzNW3MdmeWIIkbekFHrXI3ifgyycmWnpxP7pghnJIGDUiyRFA1fmzxgNuC9XlH7JjujbzXuiNelAod6Sl7mw9H3zXutM9nwa2a35PJGnuR2Gz0xFVwyrSl+WL2VE5qXRMKJpMPtxH3159j+Ri7QYuffvheeY7R5FlHkdz6piCHgpPt/61aMoor53ZA6D1+VafhWgVGl+9imyO5bo8hjv1WEunw+UO1HHAd6r4ZSBKTlVop9p680QuFo7cj+SZiQa9PPRJu5FBeesWN9j36+fOYB70nHeQtFZUoCgVPicJ0Ae/3oMOkDW+TLWaztn6DzyOpLnugenVtSx5dyPd8EmdfRI9N1JptCA1L4sCz9k7+wDFYQV0nj8yOySg7DTItfjpNtDgR+FR3UZEXA9nGsvHWbTf06AEmxkVsaeexGyMhIpswnIlUA7M1iWDnR0TTc7KMIZphvYq29AhYrlqE9PqGTxpzhv/dAFEtL3IOPhQBDb5BaZOQG38g4K/CnKGu/i8GoMtMxmU1yXuM3wf2NkBerJcPWfEP6b9bN/W2fFNKRp/4LZ04VoyysuefzT93uexLzMQtdYgtvLWRK7UBBZtLzVCKfvGbJF0zjb6iqJcQ7xfZk0olo5/p6P18nRvkvPgyWw/i0S/00M1uXoUw20paJfMah/mGEi3fuLRohLIiHPojXRINisoWfCaWIyzY3HyZc+Ur0oI9gH6Ag7BQyi4kuHYxfpYmlAC3D2BH7JVHYnGTFHU2oMDYJ0yMshE7ZhduBZpxG0+SlyAogVErT0O/K+mqyVgYnUq5uPQHjDfWVFv9nPHF+muTcncTknlpzSBVCWZaie6A9T6z7h1w7rYM0S/jdNs96sC/olD12P2pWpug/ZgJsR2OcROic6eIAUtFqABGTg6MvPOhLl6b0bvZljF2EcC4EpG3mArc/aI2rk1gQhr8Sh9mHsbcwLRO5e4NFPS56Np92NdEFpDIDe9ifUKaXl+rhizuhV0oumZzZz4B6lrvAOB7s/6WM5VX/jgEwilWlaTyan+zjwjlIz8lLJH2JRRMf+iVBIXGH911SiCjgVDzWQPL4N0WV5DntxNUS2PHiZYp2y9QygkcwBrCSwQMT0V6SWbfsoaHM//7+Jup8J+h8PJUTjqHeYKleATNmpCPTa/bfZBFPx9gzvdUYpaxyGYfOnDOuzVg5PR3bxvu0ogiyIixGZ6c1bFu6PbsYz18F4REPJOojStTdz7m9Hw6zVVHx+FQ7CJ0SOnchg6NxY666LUizDPRVgL1798nBUGc/QFGMHaoum7SfilFyDkc6H0T1jL5roO/ZbQFEahPFGft4V494HZVgbj/4+1kqQwSLr+Ai4xnkczpQGwwkdojs1mE7e2IjBTocTVQxZ+h5FZ+O3yMTS7M8hntH0iwaWroPQfyw4w3qcKaKmKFuBETtwyhwkb/3d/fFA2erUnZ8N+J65rxhBjaoRUncMqMT5+609k2Ky19byxh4pEU3N4yS2xRFoAbH+5uq5/puuuvbyLFHPipdFvedujb7ZcSi6dX9CdEe2y4Mh0PvVYUsCJoYU1Aim89hT6exfjVUDgHZG4PaM6jiOZS3tde53a6YQuTrWbpb0hzz3COq5txINP8bEnF85b/7ueSJT+8XNOqibPJf2bg8EB/EQoCfHEi7kO4chQ9/xjLZB6eN+yc8le7BeLRbCYCO92Av2VlJ+AVGi4McT9d6CfOiMqSC/JmrsSxQ8mlYMU6sNiGbesQ1JVHxI72mQo6iRKWnk+1r2935q0xt47fX0a8vFbM32Wake8TkcsfdLelDe3+6MSpXIG42tkId7gZuWm7LUo9NkOcB91qmXaGSvO2BYxv1dR9Tj2RP4VBuCGI2MBPRriH6PsiAHONuSpNhytxDlN4gzOBM5WElmSqffqC0Dt34TDonI1aM855UArVLxOef4eyM+qyDGYzSyYtlDAGcR7kfwnzW+Q8hPIfbt00dyBkf2HvbWs2amzPNiG8f/5jL7JQ9APc5bjv+QPag/aWGdHe2N9VbT2Z4RW45MzUq6bweC+jYusyW/J9PAYg6mUuoyLW473wKM2k9aCtbZVKwYm+2U967is35Djh7ibN7L2k5j/eZT0irNPloT/kq9hsHUqXQ9vOz2MPNUkjVbxHLkJJBZ4yAW7rcKwZgAKYMxjfwm9HEpvq85Bt0Ojvt5r+CnI6ylGUk5hh1k8BbteXIKSzsrw5Sp/RXsqVkvn0UHSB2pDXgQ+VAH2OMbwyB8j7pqOXVWOcndV+KewIilrlUf2XbkAJtjvMnshDo1+aUIWnLaj55QxtTB6n+j1Vno7pvYP0sbj9lRA34gwWZpU472/tXh4JYGnfpPlwczjCezt5QbkEz/VxbfzVWxiR6zyG7qoi2Co1fjnkkWIbesCiF54V3AhKAf0bn2bj1Gfe5TFqgZrzW/bzH8S9KuAleGSv7MZulVmpazfjAaJqe1fE9RcuwdMQSv85qlpBdvYQGnMj0hC4AU089ZWQQBAJsPpwb9nMgG5YzG4AHat7vpMOknkK8YOhXL0xxc01jpUUh1iTTt6+qJh1TOeYgYhIEY66scIM37jXxtsbGZ/LytFaQifRY/39FPU3n2JmzaN6ZUUD4qtBkIon6RxkgaNtPjUoDpLdWivjOdvly9WplOjrC+j7A+9qlZg2qI55wH5aBCqk0t0Mqx6NAVQM//hUITQDUC58BCval1t6zeNaTFUCLP4+xYJxpMSnECh0vjaqO20f+vfF8rnsM0XXWyAtbfFThJymUwWkadXjBYGxSQ3J+mY02t67EL3pLBqiGH3R5l924NB0+i/T+IhGX2anfqaHQUeRtVJnsY3eWlYulgEzoK+M/DAHD47MwItS1Kep4q+FSc31qkQeWAdeA7baYhJWjEPpHnEIIvBWEjwFIycfmZTgHqwsG0dceD/AYpdcFN1m1ft5zBGj7Ns1obehrncCHP5jqY/hOwZdpZ2Z3BqMQL9fleVzBz1O6xa6I+C7ZFy762Fk0r0v2XATRiUDsHT7JzlcndGCojv+vxsAdAoTgED9cDOAbDKSuV9TIjyHnlsqEYibB4nRNqHuZPAnL+OcapJr2mZUnxfoYCMc36dYVsibMugn0zncwoQtKZGzFIArckVd+BZ/8y59ngStpGs0FrMLBJWKXEjq4Q5SYGEGZHbEmbiiEth2IyEnmHz+rCGj36yZHoGPtfhX5da71ZiCD73EzPJmvn/bzLd+uEalz9YJ/pJ/RBb/ZDQFeJpQdDOu5JnIvppLDR2dHVJynXnGUwQWYidm7CezCiiC/vR0fVnshr2d83dIJ54L6laB/ByTO6eBnn/VdTkEaZyP5E9kqWOGdKSwmqUy/SvDbKTkCiKeRxyLJy61m2HGLvvXnPZ3C+RpJpScf+jePMLaSzQMCcTT2ORhyJnEka4+QsCWGWsJZdmPT1HmdeDEYsI6G74j8YHSoWYzKK3ihOeVBH2fYVMi7cUgd+/k9XDP7z9jeit4zOBYdqTOwhHYozbLkjCccV0q8he5uEPjeo8TJrZVvWYKeHoQfl55HIxEdQRhpxfgujn4ysn6W9ctofCYEn2YyWffXSHt6GTHzOvx2Dd8o5ouIb+P6MfPln3Nf9OPlPsb5vcy4aold+Q86M+q0XG+UtxEjKJ6AMfHOAuc44xJWJDMVhiOKVUWoM69INp3w5uqk2Eeqyx/OEACWUMUMpM/Eyq2WAok7IzPPEwCo/uwPy8idGvzEBmWf9F/5uRtNeeR0WdagDKNx38UBmVJsQKJbBqdC2yUc/mOeyXTP5FYBNLLw81UqwzqJGXx2UoPV2Qx1CnDH01f3zpZc/hNSJhecSGJbnSLXs5qEc0Gs7QkEEUPJ5rb8sHv7cDTzPFxpam/+2hmALhpc1sK5EnlMQfAnmA80fh7EuDyap+8DbczAs+nBI4dYiNWuj8MsoquFsrjSGcgr/6XR6Nk1j0gFFbh1T70ayh0Eo5FJ85/MIQkUMly0ujox6iUU2xWvkZoT4LR7dy6CM6yF4Ro9x2ivMP+VAOxChngQJPGsLDpyK6Xai6rkYcQ29bS0OOP+RZzNSN73o4a+Isb2X5xI4I9H8IdbD1M5EvvNjfm/a1lqTYAXBFRWXQAHGa0zJvM+9fcHmF8S7rMBn6LS4Q9Y4BbaIP9JrdIC5kPZp1GQbIcgiZfVojWQUwOEYeOtbXUhrNWe99LokzNbgaCg1ZJ8BzqpKHeFuUu5X0lZVEQVrA7bKUgCOcy0l2/Cz3Ef70wQPCCqwYfsjhKwLgmfKKTXCpudsGJeFQ2Sb0NM4SrYSoPfD1I72a/+CPPx4lBoHpi/rbiP/IT5XINin3NMgEZk4CncgAw/xR7KQb+VHxcFQSdiLp/I1LWxEL8NKKUBXepDPsddeCr3rYHRrq8vwH6H4w1Dfxr4fz3o+jK+7BidoKjJVBeVUBqdsF0ADWaFcV9sTlKOLXdddCrK16lVRz7nbosUb9uGQnMPIFoyuyYl6Qj4cNH4dnz8JcIxrnp9ndcTW/dZ9WQedVXENK0mZHjlzgtT78aBYVIZ6yioXJ91Y2kjNfdTBwRqK8zgCdG5LWqWgRAn/Z/YntDSwFi1kPOLNTiquD25gHXVjB7L3B6w0jOEDhZFVFbrf+zI/MwAdWzoz7RcYYIyRNKANqbcKcrsRWjiBUaJrBYBcx3ACGaBWY8i/BO1sL+63pqQBUSmrnxCVn8NvGgmOYjW/68W59udf4yRs5X2T7syMcj0f9nX/+v3RKKhzHEggQGiDbX1iElJc6gn/PIpMqyw9a146Ej+GlpLEsklRjICpco11TpSjzpjnTMdXHMILnNWxKMd06DgzE/L+amuMkD/BmI5kj/yeydQe2wHKaUoWbS6K31nEE5G9/azBNuTiWmq3PZBXU9PrkS3rgk6tkmTGbEp8ia43kLUEdKGrP6WU6WQBPJ99WKd8nHF77euxxwYgyXXkP2lke/3roCv7Q0ChnAtQFJgkj67dEyJ5P+Fs2TZle9syInmDqvgS8KXBcLylPe5mOz5iL9bwTMUoI12OfrJDwxKJ9Xj3yzOhQXqaKNN11DGI28YUXLEfptEL4ohN4xnFL7TBTmi0BuHodEU+1LELd58IU7ZiwiB1qjOcP9cR5O8CXw+fIlAywoYz3X5tuy66ERiMIigzwHAAg5flNfVORupMTgCyxWwDz6aO0zlwBKYOW3Pk5k9S2M+g/2vcli6MUnUN7Sowkk7P0R2PLMjPcB1RrWQXOmTeo5zHOorVwOaMQpfqzBgEibQunAXQ4wX6sxOczHIbiuUHDRRCERu+i22qm18ej3gGwuqECRG6epvfsXkq4mEYXyOgCTvwxrkpm7Nl0RDmv46NU+EJPFCwJfc3XeyGl0TBCdgIECwW7oGCGaKyHGqnqrRgsyq+B9JUZcf/S2AhyYXhfm/u/wmMmChT038249sALTm48Gp7n0wxWPNbR51lIp5aQw6di+qBNJqTvcSCl9FPTz47pLy8Fw6PaWEVjAAkU0PXcJBrYKDdLCNWU4qFksitVPglkyjZRO762SrWVRxwKfD2ISD7+F4ZeurS9mG0nxq36OOdMCQh4DZxh3oO69iUvrIrySZMA2TRCYGYinft7FZJtU0JJub+TzEK6nhgrnEc310YBFmnXsC4p7fGQYr6EtF97O1XKA9bUsri/XXnMDoCLg8enqxKD/E8OjfbubcTPLd1yJ44JsGae3b47115sgUeYT1tBxjEM3Z7YwhHseeZSbmqLAQopWKtbLyfxGG2kbwerDoekob26bGnRQPY4CxDBjIG1KDjDjs4mjBvYi/sMIy437vWlAt7+Rv7bC3YdLGKzLmT1pD68F2neW4Re0bgyp8RqvuiMxAzvLwKkn0MB9J0tdzFv5GG0oMX/bif+zDa1vu0lpU9beLEKNNh/8l1dd4MUYcqhaIec7ZFS4lkzyC7L1e8HEYz5PF78AKkg6uiNB1oPo416EXz/TBKF9XhDLYn1+2ewz2Vz8+oLbh8lwBssqfWM+L92Nf9m2UBAD6vI6f2BTqGznq1nrKH3Ok90wBW1QfB/B0yOp4BARs5N1Vxku5ecSgAR9ozOL4IJRX3zzOs/LPNgRSjChGyTfZry2cLtf4FgJoEKBpQvk099xyy+wmObznqz7WvSBNdvZ2MD4Ze5VIhiaHpe2hQB9zBhBPSwGOIaCuiI/Zz5qqT9n6M+7BroPKHiWluyz6LTpC2TpfA+ELqXlecvaBxTb7+KXuajSgc+HCjeAae5XacJnELOiWefYGVOkxmMCw1SKgyDiOzj7MoZmAddfVWcpxz2MVciBVx2MlrnDVLRV5iIayz7UKeS/I9hS0dJEV+Zmzew3hcj7PgHui05OU9RqZfUsvTkIuhSGlg7Z93b50Atg994xQxsQaWJcxgyYUsgb8Yln+ni9V3Zr4q5E8XnAmNgYx6T1+XKehaCXnacubuZT1G4zhI9qM+Sm5gHV8neNK6tbrubfSpIM430F86DitYu7orT0RjwTYkb9EzBXyHoE2+T2dj8wkyCeoL5KddyeyhW+MDsxtkvOSiFydhtGoPqkA49b7lRuvJth+9z8+dn5wdo6yO+xh5F0QpNkg8hCWb5jgPd2JQz2NvZmCodd5KPJwmgDLRGNFJcSpmtfi32JRU6DeBa/FlOvo35lRrg/QJtFPaDctvtmI5RnMl3OG1MPKtyP5cDZ4lB7pqJs9uECaWyDSz0890+F1L96gp2bDNYH8udCWM50PB54TaiuhXkVc+gHR41oji1MIkgA1D8dz0XjSoLTFSu1BMP7GRe5Gw7XgKBw5SKEcoLfS35/curKTTbUF/qpCdt6fHaV/a/TR2l+HfLrwPKIOLfUxGPKFninsyNTAFb8VFcIrLZJR5M2p8CpKtQh0QnpII/BaRYSghBcUN8YB5yXHpH70YvV8BDn14Bmt3gbqOtIOK9g1HupFm+UVSV0+LKYck4ILPIqxblpKKK/aHGa8xiGEUnp/3dqFL8JMRqQfuE9KFWxB2wTcChtbhLaVJBQk4xute1ecAAP/0SURBVP+aDBBisGb7ed1024KwLM/wrI+T3pIndQ6CJ9WdfYGVEC77t1SYNs1bxM/PId7FYn0vupjPXUWqtCmGS4CBhAB9nNFIBHkQ4ImRX0/Wz3YeOYo7k+rSkViCQXP/TdG1x9B50JrzGTNQYKf5vTWeYaR/9YZFhWZGBvS4rXcIVrDN6Tifae3qTdZSQxzQyCiA/dyHrCfWgyz+O3Fmw8mTUQmeoZ3jqkjfzYOdSjCFwjqavjkWOSrE4ZqElyjoRno0HQg5jC+1VoiQtyetLLewjfWmxxqzj18SqTkG0D5pU0Q6RTocGvPrea0Iz8dI/ZuiOoji3E7tdQbtGMkvI1cP09PsXY7kUNV/sLbX5CP9XblQ9AY12WE7aL+BqagiKfDLsWDuWyeQxbInHfkpiWYwietaAzUZJT2NyFI+bOuj7q2ip1Nn3VzUq+UG98l0Zir2UIfiLQyf18MYalnYnqcf1qlOgqE0Ri+AmvfvNu8vPkctGwPquRUpb7+tKevBfG9z9m4OadvapG/9/VKi0A5fHWMClAPiUZYomn2s1Qr6VsVc6JSKbRa/8B4EF40gwOhP7dc+3ZNnmbyFwVpqWxmf/2n1nNEVlnHYH0f0TcdxMAXempQzFigqByx5BwORPRP34nQm5+r9d86N/q9DOWz9W8yeG+3kSQ8JPGQW8WVw6yg1swG9OXvrjxyI/pB8hjKJl0xlX+c6HahN3WvbhBwl+WihHKFE0IeUYkk7AZCbzsjNouq5A7lDc2RUR/hN8AtDUPT2mjckqjFDLrjLSOfrHaDnSdUb8XgfRrd2XBgYCNpcyVmXre5a1sNz1Rxd9jyfdweGzdqyk5/kgw49uez3hQapGzEZFfYjFS/JzDD0bWuMs3gM+3EFV8rQtdR+YsjxvyZ9pHOe/HJtrI9r0CW7f492RMtyljKsK0+glHarjFXoeoc9XIGTppzoJEzA8LzN6+ROfpePbcCZMe1qileRHYHj7f3r6Jq5NJOpXhdxbJnHebG2OZoJ+92aMDIiwY69+AYoZhiMTM2yGmjtwkl9sKC1Uj6c/epF2ecldNgC5Os2zpvP3Y/MQN0wlJ0+e+7V+rJ7ZS/vAsoGGm4R2K/x+XoEypzOmvgQM0qWPT0frpL3pXaPnVJ1pJkf5xAbEVvarHgZUS6DQ+KpRSnlNsH6wRd4mjNYLB/oahTpVv6t57UWhWYR3M2TIlFD6B/rY9qi0jxQfYzlvaReHZ5bkVx7oN4i2romC5PpXU1uuihe1hg+vwveoXBn89NbSOH8+YtzKM+FSPQL2TW48Vt52HpEpG/wHcXZAD0hmZWkuKrB4ru51p6KB0+CCJAN/CQQHWSMhtPCYw+qI+uSXwqHiqEzGzcEo2r3RGaUWXEMgYX8XjfTRGyvKM89gchcBGE6UzccyuoIRgHWQkRwC2Ds3TFA6ZOE1Mj8313WA2azsV7VOaQyEJnC/YreOiO+0nhwIkz1xCWR6Mehtr59M9GNNSQ3ThDQnbTT2PdblrXOxPpdQepG6PwrPO+1KKc6rM0U6roLuc+iWaj1InC5MDI/4TgcY33rIvwDEb7MGETTPT0BsqQy5Ybw38MefociLsLf06INOn9FjZfXlcM4/cg+2Vem16shy8c92497Bfci8cUtRj6CjnguDUC8JvdTM7QX+H0UTR1kzIO8h3X8CfkowpquQs664q0bSeVCnB3YrvJ6gudYitxNApymgXzegQV4yiobnZbnMeKCVCoRwe8garKqIe2aVJSyhfUjGr6X1J6HQFJ068jOCfbApxn5Z9QCb1iKuK781/plykslIItNzrE7A6iuOw5DSmj+hfa86GUoBtLFJ5buiBZv2h/9ax8E77fmi/r+ejbqIPE/e/EB0al0dGMZQCCpwwGeqQmG7TN5gn8Hh8DfHdgu3aKpYWXdflLlPXb8bLMZSnpN9KRR0zZR4fzelGAjouXmgKHuBVFsWmzqz0QftANt5ztliapFtOkkFtGZKilxBfdiUK5ByTuq7oEPmdLERnWEXMJ7MyKcj9E2re10EdO+X3HOBVTVBeBiHdwoO8CdsXgOprej4CWwEA5/N0P1M9+zEuU1kH4JWakshejAFjl/KlqbIydOCDVW9nU+NWKnUv1vrjjCE1S5YX/qwAKms6fzIE+20ZeUm+qJiRjM3siJNfYYbWsU6h8vz7d1wpBa5hbnU889d28UTUDWlMPRkMRchfzaomLpxQycrT2iTNdiHNLwfQLND/K8Ryk/1MK4LsFx7orOuY3zqd4ze/YvdIY4i+o4vY6J0zkaRhTbmwjzavSRbSEa/iG07tW1y8E9wBibKTNzkZwj3P2x28GAQaPuyE+7JRxNaXRli2MPSjhGtyKz6xLpGmysZS9i4JOxhLKQh3Oortse1ofSGeshgElUcXccmcyousHo5FdYQ+c1+36HFbwPdsEz7J7ebVYQw5CAXsiMHJhJMo1rSclsptOszGTOBL/yJNG0Btugx3S0nQPfQOiTg/fmHLUjRJg660sdaYf8Wq/WIJsGH2kPKzpRIiEpHE35Gzy7T55z31uPMocMgerqHpz1zvxdx1nOBVtzktNtmg2bipPvfGoDS8GcOu8Stpjt0eFRJ3iG/WzJJwRdadBtM0rptCSX4YT2KDCVs4I/ggUUNTWATR7Bn+tZxFYsRDYevi85d9NzCrA0eJmNnIgMdgO191j8haDqSdoEX5tCtuAZR971R+FlJp9ljcfWnvYI3Ie7SHSzIVICClag3xx+VwYMXJkp0OkZNb/MPTWiziSBgTzf1gl8OHtE9ehNBbaB2quizeYoSlNmFvRDPSDpcuCAiynlmui60sxxDKgmhKo5aRT1a1+Esyqo2zIYEUE/osu6EjkPQsHHQ8ANak0VvY3nawrTvtjAoPQfXqYiJKzXSypehEZ+1mE+0dYJbkBnZQ6HWbh6P7yxhzBGOiYOYfjusdwhzfwLaS29K52cCnhOghoE5XyPYTMlPY40shMmrBfZE+Z6Sktp9GM7g/Xp4qa2ec6Q2uWPo88caiBiU0/tCP0e9ip3Zz00SENIFZ06T2sFzs5kFIHw+Dswpi9eTwM+37uKZzrDF6nUTI3Xo0e5McYvNrBug8OgRdgppN8grKbXaiOcHyDoD6OAriEFIzLTOa41SImLDLaWXRpvugCb3mzNwWggXrDACyNnx1nJtDWWyPY5vOx9CNtrHPjmyIEzjQ2RG9ASoxNYHUdkKchyU29lqGsX4z4eRx7tAf6RyFXjlZH7igdk6/nadyzCVrkYCKOU2QL3YsrW4yGKT2mPlTRBJkm4kUgj2/vhy6K8s7eAVDwTjTlzNNp5lrYwDGceZn51AztwHJm3HUFwn98vEFfEcEeMolmVoWSKXNNnIXlYTeryUdKrRqbL+LMe5W70uAclaERQg+k7pt00Eos4e/ILp8ZwC/IyErtCgAjr7HtvYu+s03rpcOrVy2Grp++P/Y1GVuW/hOjUs2SL1++WT3hBZYyzCPwFRLuXs0Z9N9NTjTPwLv+OQSbHWC/HnlmXNPW8kIhVAzSatLhD4f9EUd7LOTTK/RFZzn/iWLQrI1kMnMELjZL7D49XKB+IwvcymnwFeVV/2GsvUMXarpmWUTjTtv2o9AtTXxQLoBOrATrAz3RgL83wXwilUXyOMuCYgC0YA1nEvkOOPT8F8FJ0MCbT2vQQemoUqVZTqu9zLmYRLaVJzRhEPu8UQtMUfdgSVP6lKKmelG8WQPeqAbQ9S2KHd8liOJbSudSmXh0c0gdyfweBZOHZjERbrT0cIubk1xPUXo0kX8Txz0vPsnrRaEzK0wz09hcEsHXX1N3RMJj5br8xM7rLWa7oSPZzKZ+tUdK4aCztmBC0ZSDShijYFjvZ4zJwz9ZZJZ1IR5bidV5nH7FZJB2VB8iqlYCgxp5/h754T+oDHV/nH5v56kSJ5gHOo5G4YzsdVycCWochDD0wHcH1FsFPb6LS5hjW99BvnmNBjjrJ3vO/0BXq0suQ8bcx0jqRv5F+rUuGNBOf9zxpfgd8iF5+BvzBGPSiLXetsWGyPtll8h1lQmd+q9Nt1fxBDAo6pyU6j2QKk8NA0PM9GvE9lC+a3po11NLjwR4GgxpqOdvvz//vJTRhGp6ZlFD2QY5GgJZXyxWIFmpS5G9GitHesHtQfKJBFZL1eD8fAApQQdnOYm3JNO8N3NS3eDamC8agrISBi0a7H0Wg5+fQbwVYgziFG3SItVGwBluU7C1sst7UGpRicgo0awMWoK2R2W/UEz5fAQSm3jaxkAncu32bL+I9C5t2zqkKww2xP1WlbeRoeuZSvDwFzFT4+3yWZNhqx1TSOeJd6eXoSJS9NFdoh4gvFahAHS9Tj373/+YylWOEJiDLzIA1oFzpMkf9SSv15HklgBAQVYlnfRHha4aQ6k3YQD6MqFzQhfVkQQalUGoTOPgCRRzDVwhvvTPcpA5Hd4yaqWFbDDogVI04KHr5elwyQ5Vgnc7z/PX4t3iMlhipzRjL43iiNVECQ/g+PcraGHkh+9fyOaYb27LvtinFXq+eXBs84/hyf0QQqoCtdVv/0nGaQSuSALa2pNTsmZPP+aEC56L5HNKeD+X4Gymp8K5CCdjw7h4XRYasj4k0Np0rsEVHQJKIo+yjdd67WIsreHbrV2NI+zfjO27DqbA32hJCFf4rzd3dpMLzoBgEY9mysRJDdBJlKmBNJ0TlpYzdg7IoSRlFr1RQw3Je62i+MOWI/Qv3kQywomETzKZyNEqKEbBXkS5+o3bhqNXs36I9v+yOasPS9fq1BaOXfoIRivPRiujOST5/cm6yocvltK2FoSzL1PhFRJmtoEXUoV0tiAgD25B06s387kySEjIPqVH2n6bPHcQwFFCGtIIaOEn2E/ilKVrnzPYHmfw63ynAyhYWDXunTSeCc+zrdvx6Lsh+I6JLgWxmNyTnf4XzlJ79SMX7rgGZPtsaL1HBYd7fmxRyYc7xZgxmMh6acFOH7D/l9w8VYfoUclCBFLZnvC7ZlgEicXmN2ZoN2+ibPHQkqnrNfzXx/2/OVPLX6lQPQL5/QzZsM7O2rfyMxim3ZdOorTtn+1sUZh2HS+j9sX4C6jogS7ZzNEw63/HnSoaggajFujh2st3HpLVR6C/jZM/CGZaIRixCR9KzRpGNwTvcw3fPQIeWRp6Un29wqCeCQzCz46QqozGzcNaGNRymdJV52aZUKQ3pPS2B8XJ84e86TuzhjRiOsWQEGyNj30oacyqRrclrHo65GT5HPxqBO3Qh9dVMR+Ler8GBaEeZbhGR3xSc+Z/5PJ2fVzC0J3H65B5YZxslZ0ed4VmzNqnhkKL1KM/nBCYt0ZvCvr30wvhqUdxyYufjPiRzGVoyR2KnAfp+P+dEEKlOgvVVU/jt0R/O8D0Ocuk7dEXJxWBR/Dd/vK+Y6WwoeuEDnDI7SOxjDkMa8qYPDv4O1vJj2AM977Z4vpJEk6szanuTkbcZVXW440QF+Q3i8wTvFkcOdUxfRxdVReeWRj4Wsi4N2JP3WIPqWFAHD3QD1JdwSYaw39bf9TJ/N+UD+bxOrPej428blnrNboPkwLYLyW9CzaQG3Pf/OBMNLJsteoG+vzvwMs1KHcOtuq+AxN5ECnygKbVK1GbiWklbFLw9QcO/oX7JgjTjs2zTWM1i3I7HbOO0E1Ss5U76CWWEgF2NQlCoDPdNd50khMgDeEX6QuHxq/GCYu5jb9iivfVIL2HSCkAnFnEkBmAKdVEP1Vy8lB0YVA2Miq8mBtVowJSUaLw5LNZlKIoXkqgQTaVqXCviQGzi8PcE/l3DSRp8vt/3T+Yzsen436Otky+2NGz+8bIWadpHpX78WJbAu2skM/jc8Sgnz6CT0YWUzKukik0lu9G9OdSLcFAc4XcvAvMRDo6NzA42boTALOYAba+XLxhDaynPUXQXbes+GbkvNP2Glx0jYmUuycl3tpJ8AqEMgxLwaGWpsn75FN/TFK9zD58lSMRJHC9iwATffMx3W1+VCCQv3m0bDkPgmubz2mPoLyc9JfDCyE+hH0M95gEMtqhkOUR1nq5E8SUHcHhgYgYxI0Kh+E7pcF38nBHWYFkX2w5y4SmL/HuuNDV5FIE1GlM4DjqfWCZrGFQvc9PwI4mcoUb7DyFfEzhQYyTy13Xlc5fxHQKZjACUkXiur+1fn6JQxiHX8mibHr2XdLcecfLSg7Uc12oj+3AXrVuSkdfkoHvg3j/C/NSHC0Zvz9saLdpNy9DHu6IM2SHHyAs7F+dhMQrRnlPRwJ85MxkDbiTtMzahlqr8TSMyVI++SJuLZB7zWXu9/iehHcyHUwC1d+ibvjk7ABbIKjT2w1ASIxmJNwK0bknOn3LmBKol7K39t9oV6/D9abEZxXe/zzO8Aw3iEM6DTk6YgIPSK8V7J/BzKVO/5fntpbWFaCBgKiPNv9iH3oywq4GuSE4Z5ESXu4nITAlez9ovQe5k0LGP133vBdDKGtZcIuRj2c7SY0nkmDRQ4P/VuPo+KVdtrZM69AeMi1k4a83qxvdxXnfhUJVkjecS9Th7uBrZFgkJ2hD5TUKG5LodgiObnKfXwOJr9qYvcmAK2hSmG6QhD9OFjHqP0J6WC0Idvt+xZs5NfoA091Z04aMYF4GDKn37scVqSGxj6j0GGRk9Ox85BBR8tmxHdlzfTPp9xnnG7Fn+4vdmBAwahvPdAocmEpmZBTEzZ3q2Defue1i4HkM3+AyruHcDAclYJKMRtGWKV0fCequTZsQzOA9a1PVQ7s9AaRVOr5cOeT300x3vHUB3pwplpyCcPLNYCClNTRc7XKMWOqMfxtoykK07DktQ9xw5Dfqdc2rUb331Dr5b4ziN+3UgSuK4Sv8kGW6eLwGBr42eEr085uCxaBYTjKxXe//V0TNb0J1WHVei+8XOqEN0LLomZS80no6mtDvkEwJHS5HK7zq+/wf2pDW2wzF3e3AuO6FT5UAQwHkbBtdOiJ705Htb6mQDtO4gn9ehW1x7A6P7icLvxCm7AlnwdToiTiYyoLjYldCOtOQ8BE/IuKQQFblBJ8jMR4n+xGlYzIe0YSOMmPRQko9gUi5co3F4UioFJ7O0ZVRRF7wLUXJejtLycjNqOOUCg9GQBehAqiRcvLEsGzLnawgrEBgNXPJL5a9gWocwuyv6zEu0oAbIPq66eBJ6rRLgO7Rdnt9VLJiK8pw7wpWTzXWgrqwuttMMwSjrtc4zvYkweamk4svasDlBo1Wb05P36F10NVP8woOoufaJrJdZrxL04B+vW5OmMZgKMZpSyE3NuPGZeZPMJxb4vUTAZWSdLdq/SFr/NIthDXYxBsUcRkNabGyL8lAv52dVeCZTKI7cMu0pdaFC42QLSRasKRgtxvUEQWAvIcR6aJ2J9tKyuZUkmOBAG4EMoXfVZmyvBiiRR1ZAZE8QqxdudFmL+5Ru0BmPV/Hd9ga3Yo+bstbWpVTs1YnUngDMMQDCgoo8Y8pLY+pzqoTkMNXwWuvwvQLjJL7vy4E7z/LdvWR/tFFKN561nrU71svUjlR6Ak7kWPYzrOvWLETrDmlkCzRd8NjHcUCleTOjMj+koqKoH0bK7xGZLanGClJJn5qalXfbEYFJlQdngOrQ9SVNLZpdY9IOB8RRYSp519y62uEMPN+1eaPi6Q9HH3x/MHrsBgxiKqI51gIsYDigRWh7uT9vxlAzXMq6tSHyk4GmiOxccHx3vB5MA20tU0Hs2r+Xj2fRcbyEfPkKIsp61FcFDQl4aolh1qBK0HI3xrsTdd+qOMNOT3kX42yfbH0cTuXQ52zI353M8uSqI9GzpKfNPtiCc4L7MsrVOfYerX8NJ/IMQswPjAaNRh38LouULFjK+WnuS4Ywe13fkI0Lo/YwkfqVRs6sXfVPyUiQfRFvMId72UoKlWJdyKj8J5dn0BSj4C/l0f/GvZzKsvVTW/jGoQOMMOXwtqfxXQzsFTzbaDAg1ug8D11JQT72/sEAFnsFcpg0PENKp1pSkug69AxllZ2sS1wf8HtjAKSkB4qFTrdUqGMAzIk9sNTgebacYTbFDJ8AO3lqY9dcP8/eXI2Ajl7IqnHvAkxnwVpkP3t7HOUWOLpjL2GsJufgWpS7JB86KTqfTchAiRZeTl+qKVwdNZ/PMpeofbsBRMg/hWHRAbb8Y0bvfu7NoRPjScnWwxlRH2iwY/IfswxmKK1d/kL6V6dkHHrWnlgBbyJzb0ePm463Jci2nKdxwOfzPFeZCQp4DGq2kgzJjMd9qK/74AiEcTv/VcVL3Ho9P+4/NQrY4Go5Dlh9vuszAjVLcaazd7AH+80UFIeDnnXvReZhAGdZmYgve4o1dkaa0uKafn8SfSNj1zCCr1dkjsPJT833+azqQ9Pa7umH6N3b7fFO6m5xcIpZ2B6krA0GTQ2HPmz0j7C5a1hrP8ds3j8aWOsTRgtNUFI7WczpKI9LdpI6Il8/Hk9Dpb2aL7qZzdW4Gj6Hm0NYretYC9K664F/xWZLm1WORu919FXGAAKjSg+rOXv5PV385CS3Uhrm5zNMQ2sMLnTpCcb7sgjQ0E6k7E6QyGNYOFN4brDE7QtQJlcI1aY/1TR0I4T8BzZqC9/R12hK1ikOmy0tgn76pZjDaF/sDlzf/tR+X6HmoUESVKPy8vn/3Zi2WF70Wo1uVHbWW4yUrCXY95uSykwPVvSzG26zuAbXyTvMJQ7G2JrvePalJkrRg1UgqVXIdWzNPfYnHbZ8G604HOy72KeXUf4qHSNL91cS/G+5lyH8XJT3paRMW+K9x5kB06LWsQRuBKcS3+hD9vk9nBrrWDotKomX4T2ODeMEatQaF4Ee1roVspF8j0V4DYgkD86Q/R1D1gLB/5L0qKCaj0DcqUwudFnTsk70COAqjf8MInOVqFG4QAzrzt2puQo8+QmDU5i1XI8xFOAmyKc6hnUaeytrks6JqZx4qk5lHMdv2FsZeaTaZNxv8PRHss9GDiHilmgBJZcPA2fNV6o+98R2IsE+GnsjPecXL9m1NxCnDKK+yLGBqJ/+YBTAcHsKUWDO002fK1OUC4V0exaizN8AfOw4ELUkndab1pUl3PceDvtC2tle0kG055UabT/SupP5UxuHQkd/OCnjQkT/OTESkk/YMzoX46bn/xakEIJHNNBhiATrfi/Roqliifutpe5BKdiy05bPc3+1D6bftvGnBWdeyk9rYab08yMXBUj/OWnHlLPvXQUwKzdRjAAza7zyAetQOQnoLMr1XqJyZXwg92Iq3vubhgMl/G8Rr7WkIeNaF9ZZ58NaruPA9vH8OzPDMvafWFdeIxK9DOl+nWb320xHfJmi1XiVFwzHz41KB+JQmWkxozKZzIU6TgDMAIzMbTlzMnQC8A//FnijAr3QZB4/cwjZLXlmA0RYMBdycot4Dhz9+0mp/8DZdB5wJ5wsU+J3Lz0QpWXPv9pPmyDGxYjxgLUwLttcjDhXcrbA5wUE7SWs8W/shWd+N8/RHyNtFLoHv3kDMtf21JHw1dfxHMqiil48xr2s+bpVp6M/kEnZ8A6hD79gj4wLKhBpfUimSbYrnSkjzKLcmzKuwTfAcC8kwzcL5lmxZp38Ug/owM/8FZY5dGsP5Fp9qpxJpVgWPaUNcPCBIKMNZIpuluOXlIQZIZ20a5JacZwjG1KpfugFjKvraedCXkGe1LQF7j2JgzOFPZdZzyBLbt9UFHZbEVw4hlAK2oKc7zhY8d6NXD2j6j2Br1eis7oSqfaTTQ/8jeuvA37MrgJea9DmWRiHLpMuNpS5eI9TwIrPPxz1Z+91nh56f3+giBRN/Ab6RyrtzpTt1HUZb/lnAU6IU5cq/e7cuFyebYk8OvB322pEvXrdheAEMnn+PpoU490s8HA8CD0iveIapGWd6DIV42dfmkViKfYEJbkpHm6vYdQs7McK+V4r4QigiK3FeBDtuenqpBj8TvPoya/k8wmNBE9jfawryfz0KMpTgJXDepsiDLa16Hm/9d2RaBsGoDkpBAva5zlhMhKprE1bpwQN+H32ZLV2mkwgPU+8g5jiMaWXe7GlVY4UZgv4phg1KGv/PBtNYkNlYhJ4MVJwFc+afP5pvEYhVZUMQ6UynmPLDOssl6YpUdlGTFNeJTgMI/ql03tEckO2UIrIxSjzedazJx7Y2wjKW4CWDBYUEgcim1IqgZAJFvNyfa1NvYqXZ/T5BNG9+3ofeyG5iIfaVGt8GdH/fIT6PE6T+2sKuwIHUpSfBtd02RwinzswNvlZy5zHceJ43n9qxTDi1L2yf7AmNS+dsukYTJ0el+QLnLZH2G/r7M40NUX09O6DYSRWPTxRHRkn1bgmOgXxZR1Vysv82dIE2bS1QTKSvhKEI39GjfZAT8Wgi4reKKUjzsBoPHwnpnDegwL6Douncjednpb1SEeU59+tg3UmrW+NWmWlQ+Qhd1B6/dtyR8VSnY4enPVndAiWmmNbGUKeCWAayuMmDNdo+IStYxmVzadF5k14jNdjhGzR0bN+HRKHv5IEz880Qrx72aHEYQ0oWyOPxdxDZdZZruNh9KIqfzq3n2Psbsah0BC8x2evQo6a07ZhdGI7krzE7q1kFX+gNerTciPblMp+NunmYFA4AxpU02Jf7kysXTYDrWzQkafAJdFMHGapONvQilQdufsEBSevrXLme5QhI0cJLjQ0dVcdjWbBs3zzMeple4jYkoES/0lVxf2MEoqYvtXAisvw0vkVRf4u4xhFD8uDqyNIpj4wNC0lora+KBDJdZmLo2Z90AldF7vUc5LJ66DKJNcQR30pTm5ddJqAS8+q5R45uFfz/ePKgugnqjKm7YPMiGsxutQ5PI23IfDsZtbamdFrpQzUUebfN18KUp/veYKzo5y2Zib0IBDFtuX0oRtC8KLZQPlyN+Dg1HBurm0qXJ2Jbs0qfrmPtDH3YUvRRAy0mSaDDtclNeObJGNxTrQAKFPHcano6iRihJTG1c/WkbTPViKHCuhXSyoH8pGp4Kt9lhWkb73MuFmmewdnwvsvOmlXIMGxD92680Ok439GtsPwhwthV1hoo8DUkAAP4cwajM3lmVfjSH0APkVCEWvU8SzjhgCaemE/qtbME8xHyssSgVm8kdyP65obp895wh4hs6nWvw1WJOl3Pcx6eVk/Vyc7dvA0v3sAxLXZAAk1HA0dpXJEHuA8PnOEwwm4HgJA+u86SRL0/uwfVXF7eRj+RUTzJAexzvKD0Y9JEyJ2o2U+YzFt/yhHJHUTr5FaauWu4yi/RP7QEQiwRsVoYhI1L41Mds6AC2RtS55YlbTTTIIjw/+MAY7uJmlvHfJs87Epup9FghE5BIL7FJcFcg3mTFIpHUT8ItijSXPrJFgvUbBe0cPgSkBJbMYjUdBfIWpz3mQf7qMpilIhnMp9ymD1NgMBxpQlMtat5b5+ldgbD9L7LY5X34iBxIJLRAkaqZtCiC+FUaUkws20o56SxsSJG/1QvPYD9+LvaXm2R2A/0ZCtwVnJguAb+V1sruV3RKQKVH6UgjWOHmy4/aLTSC1333CCUUy0MXFTHjIBSTdgGO/nfjvQyzwGgRnBQRcQIYr4atZFvky/u9KluYMnbI9i8ss9tJFahGnoBSXqeYi9a8Va2nNoP2DyS+o5ey1dL0sAosxFMArgmM09rmaNr+N75S71Shn9C+KKMyDx58pF7SWjTmWMaS3GDl7LZ5tiU6kK4JjsfFsMuewzZYjunO07kfSUiMsuYAUsd3/C3slDbeSlt65hkanmc1DE6zEuTtwpxnr8zucJQpPJSQi/tRidCkFATxKhSrghs1RfnBRnvd4HI5Bpb/lQBZ7pQbemZq23L5mCKSZlxoMtk04q2J36b4flDO7dsxTCzv+8L8p8YEfUvXSu6NGiWaLnSQs7CeUFjFsLjNTtRKm3s2Y9iAh3o8Bvli6Qz5KzuRCGeB5nQxCYQ8ebkSL+iGhT9KnGuC3vn0CtlLdFlfkcAUv2QBrhrEKef+d+ZuOsOE7vHagafa71OFqNIKiQg3gQKFIdoB5EEfl5jcT7gQObdZ/DehYHbGXkL3OURvkUBlOiiW6M2DPK8hx4707mqQOtomP8pMj8gHuowl6JkD6AkRiHPPyLPf4tC/N202WIuv6PE/7ff6COEg1ur7wIVcsYOkrqAe9XANrHlJ9k8DqAPL6Pcs6MTtIhkv60Cc81iLNg9ke0qJetZf90qXVi59OOCFtLmqc9HAxu7AgLDlKPlEd2bJUxfdiDcyLntGehZVKLmSngt8mWPch/jdJ60K3wCDJSGeS8GRbHbQrY1DE0avYejTRz8loHQ2xj75btoIsBAySJzBGe0bPr/em0XDt3T7SgMgMoMCPqPs9KfIktiPEFvXEyPQ/q3n8XLFiOM+Oos/sKz7SeNVUPSYMqx7NnUVS9XR8DicgtmRRD//TFIe6OvrgmU7boK2oIYk02oeOMegeyRslpDcM9cr/zcDZbEgR1peRiKlyqTqcCeclpoB71jMto51D1BORqM8GEnAR2QOh4yst9Bb//hgj1HhwBs6rK4w4Og5kpn9c6uPZEUJz1aB10ZcgyY33u83J+v5VzIKK7Bt87B2dIPTiMjMxodMc76J2ZzjsnUq9OiUqSFCPgIlkvLkkJIk6bJ1HL+bKmGIbEmZugbtlg0wLtyKVfyd93E4l8jvdVXPotHtjoy81sz+8bEfHchzL+EaGW7u9hjLCLqsVXwRu1GekoOBof2+fsNyrPg0nsPpabt8fRFN6h0yejwSjMErRvCKlOeXnIWhZNHC3l8GVrCJ+xMdLtDYKlyAXNdCfN9ijoM5yjr9gI57kuw4vfQk1mmmhWFkmvVi9Ij19Emc3MMnRIaP0RXu5GPC8jWp/T6OhBUi8aEr0WaRoFFekRy2tpbc6Bxabg7idF3pVDberJVhhTw1/hcdUHJaiHJkelLFV6+qJQ44HHyZ/TYc71GR4vI5JkCjvRYCIJB6Bo76Mu1A8v2pm4Knn5oxUg+8J28Oyb+fz5eIz6968guKZ/jdq8dCA8tKPXc78Ii8prCQ5ORjbEeoapavtdHcMXX6Jv86PIjOjt44snLwWoO86DfMmmgwesp66NQrXdx8/QQ/RSRlI6EaZQRXFKtm6tQyRgfDkZSSdNp0/qPw+Rl4daUMHVeOj3067UiZrOF3xOAvf2KOCI2ThL9ss5jOE59jNm0dH7lXO0Bc6i5PpOhqkAr+oQsin2Sv7Enhyg3aw7zt6laBZHA2pEBKFYn3eGqWQVG2FWeYp7ip/LFLsK7SsICKxZGr363I44Uz4Ee2lwl0JheZYpMFWKZYmWsoa5Dzrq7ER0DF42g5Env4CRiv11es0Uvsv7UwnYUuKam8oyanEf/+A8vU1683MMlW01kv7bCrGYtLEmw4hWAKCD0K3PTgNoZJT8PNH696yTTE9zeO23GKgXkB+jsG/JV37Puf3CofR8hk6P+/IdsqFDVoF08wqepxaGREd4TZh4hRyxTrIPOUxDQz8VmetJhCfCNCfPPYp+X2kaS7PP05GxF3Fy5AruA4q5acZT0b37DkYJefJdXDsl/cYMhsrQsov1zS9BnEuQL9jNOpsglU8pPdhC14oMTCmcy/woWycIqVBlMfIyE+QaGmHpOKa8PBvqAKPblJfRi+Ci5JeG6kruy1Y7Mx8dMAo6wFezztfxzKvIuBiBtiZdbdbFdOezyKVAUZ1xz0RnSimm57/G+WnA+gjM8zIgaUIJ7HZHpnGeBbRVT+IiV1+5JgYUIt6vweFwSIjENxe7vFfbJi9GiJDyfY5u04EQRGgQ8yk6oC3pUSPA2GD7HjETlr06cBbfJ6q9GV2UgbNjENIA+bLTRHrSygQWf/eDxXVTlaV/R5+PQydXRr4cYynb1R3I1u2cVZ1fs0baIltAjZbb35AjeoEso2h0kdEa8UroxGbU020fdV1slZLBa5qMSyiqBaC5DQbEsNi3LLZGmdKW2H4onqIje7FNViuyfw9zv/s5G3fyvOqOWzlL6bBPVbApj3Ae8hgNI3c6Iv90ySf+39pOYoSbfWLzEVqjSxvtM6IstiJ8/2IxRY6NQZn0wSMx7+1MWdtAppPGXMdrfkTQf+JhHPsjRN0skIbbNKTejwIiwMI2Hgmh7a2SwuxtUooS64/ms9Lyc22Cisbmf3s6Y4Ymg9rQ4J50iYRzwEA+ftSV19rW8SELXAuhLofXaD3gTQzT9yjue1Ae80k9aBgXnEgke7Du6aVxtSbzPs/dmYj2I5RTjMGQWFzicI25dQ7BPYIAYqJ7iSFa0F7TnOimHUpGXmRZisri6QgwEKRhG5Fp85E4Fk5KqYxgiLa+8EUqkQM7EMHTqORC2Y5jzaUUNIVi47jr+CTr6nUzFIjzMLbOgn2Zdbf1ZzLPY9+pUXIsCLax9MF5ieehhok8GOURm2g9kJMTT1hErwp2INFba56xE8/0ModMWsw4o2erkLURUzhyf07nmUSQf0NEpKKSKSm+3K9Q30TZKtQinVUk1n9a4JFbElCROyfXbMozRO2VMLjT8fS9JDqZhhFvxXNZo7+c91lrmYAytUlagg4Rt7piGj2jYKNlv1cl4VqVTaKwDB9IOupH5M0yhn1ztandVmafXiNKHUqk8QYtKiPxxF1fIyRBRSoSo3MPeHzFDeYauyM8r4jqkexXC+7/Ye4/XWpS1RgFHQzJA5ylWgxg0038fPhvFFgPHicVCGJfUWZ/5/H7edZXeZaKAMKWI38yYYkedp7xcAkmkBsViApnOOAmiTuMzNpS1+1L5FmLqFYyC8kQynI2rb2PSoW88JpQXzfsCH+n/YPPq4Cyf5Ao9KN1RNssYiscYyNb9+M5nJauEJJMAdHcB3CJCk5A02SoFCuiZEaLp8Cg9+Hno4iIiwPMaUpqPx+RgIMUTNcrL6YsNdITSTs3pr83awLAnN0MQUBE7jnGAAgUbXIEb/LzsABlKxOQSr0vkZRpVy+dH59HvdMQhaiO0hEuIQMV8ndjepCh9DLHVyJbHExE3IsGzcvuAjMNP2C0RdyKTzBtnjzC86WCW4wslQXPhdGP1zD0X3X21uyBzp8tUxIP7KYo72t/RFbEb/yAfDyFTBRAp1agBdJLAJQOoPtZDdkzXfsb3+NEsR/ok9WJnUgd9QGe06xYnA5Pl2T7w8xpZE42oamAH5PL5YX0iSKmcXUd1PmeNdfvYpdBURPS1QM5E06a8j2vkZUwdR1TJro2GlDLQupg+/xtf3wWfWG5SgCX58/XGZhoA1z7XkTS1pPlOXiLNZTW1XKHIYABj0bPdftR3mHOvBiBs0Qqtkw5NEaNWQLHci9yvmHfydCWWInP/oVy4GKMvC2bOhzlkDmHphslx7gXdYE64vakYSMxNsiSot0lOrOmjSfilG3mHGiDzOrqWArAlQ/Bev6y8jn/7oQwlawTcCHCiQtqdw+R4BbbJYycHF5rM/8LjvHhQfXWK6PINcbW4vTERH9JZr+MtK1eowpHAIUeSNEkOXdotgwaCp83NBulqaK1BjUGg2Rkpdefg81sSb+WnyujU2EW0HTJxS6nAfVGyR/jsHfl9Rpy8btO+albJn1Q4osxCMXxRjyslgLcYDfcS6U4RPADHtNJVtKZjzULZcCwZA4RiJfpUdmO3uMQClNPxfPpMYe+TZ7JQzDz59PRS3z4IwihaW69JAn6DS9lLRG17J8eeHtlWQvfo3K50CV6bk/+c9Fo7kUjbFrqEC/dxzrN55DqiXuZlnSSxzyi5xV8Z0nWTxJyWyS64Pj48Qq1k1SkZdNhsjdN8+cMzZdBkT9CnUXUo0QWVYnSr2CNbua1pmIEShihL8fpEJHrpZd/iDxKluzUwG0uR+FIKiEntA6VMxZF5saX47MEOljPEeThmrp2GtspCPJy0rYCaCTnlhdaPmvrHPb3pkXGTNGNJ+1Ujf0SVa3cWfu8FWcpGwZWkM3rjErz0Glk36IE8JtTnTicMdFAfC+mBmviCAlSsalf2ZGZSji/KPaWOBE9OaDWKL1UDnq9Ui7aduB8YYlC6oI5aEcNzP5B2w5uwADIIpabbdnKYdXBOsQ9jMcA3Ag2oA5rIxFB/dK5o++2pYnabNkfjec1i86RKYhFW43H2XNesCQTQzCav7DOKgHBezfz3aJCx+Ko1MMA23BvDfME3ynRRhHWswFrYuQrVZ4lhglkQrYBpnL81lesWTFk6QpSvb2p9b79XWIz/1IQyW+Qkhb1cy11YRWI0axzk6czCGAuQKfmGLE07NtQImxZnJz9uovnu59IuScR6esoTeeoFuXznQb0NHVa02+9oMOsT4RuOk/yizdwAqSj24Wa/PWyS6Ofua/LMPRmX9Q7MTDStdcpPY2CzgqkPrRr4cTJK+2lAha1ruGx9vcUeIvZGNTX+H3cm2ja2KlRstTNYB0+5flt44hZfMJ8a57RP+7dNWSkRnx7MkwnMiozA6ej0ZwSgFN0nqbmprPv9BTl/kl02AicWHWK2TlTnffg3L1ApkJw0dfoUA3vTAYu2G970rY1dN5bp2n9scWEqMoM1Ab2+hDrM5+oVKaj4gzceIQzJeWoTr/lLfVMF54tjkCTgw11iJOv24X0ifJocON96qy4NnL+XmyYhfdVJAkbIGDRlPRizoHnQX1iNCjuQvCm3Rz2vwuE9Ay5Vwd4bw9Su9/jQDybCi5ynGVBjO8R4dsmIwLdQMWOBVuGLHn04rw7n/tOHD7HTMaXayi9oVlVdU1/8CQbOYMCEa2Gqgu+Ya3vdVCBwDpk0sDMtiUHeqTlPJj98L2l+R77e8Xh3GZPFJf24kmMvQDfXOia58CoDLakgDzE2Tp1lbpLcJn0tY1DSySsdOhH+4ytbccBYPL1v6CBdREVTPuHWhBx9SZSEHlWkbC5BZtiqiHlZSR7J4Tw1nusbQqUyTtjT4hu4ijL98SgKr3N2USSHmbTgaKENdLTUMbD8MgUglJ4dqFJGCVwp2MOLnIpPC5AMRSHU2NCVMjhr2raEIP4kQuCR20qVU9G760GSlZIvdG3QtKNNIwApDv5zoVEf3qOof+Ny3SD6cwyvL4bB/EeNup+nldv1ve7Qd6DelJPd8XOiBmkx6Ifq+YOBPvxNZrDErh7aQEx1WXkfGHzmggksD7TnpSkhBmi7KagKOJLSkqHRR/gB6aYjaCdQOHYrg0YQD1N65Wm0VbwGDoGGoGBpH5VThoJUcnWhy4BAu766VRto2aVA8W9U/ZsDoDUcs7GTV4K994dpn15JqJl5MNpHg67fo7XfYGy8EAY7cZXa/5uZGo/5HdSuXGvOmZbeQbXtWg2RljxPa/gxFWzX5f92Mr9FUpDGpCDfBX9tpVJuXt4pZdTecnMUp711eOU0rM1BmMAsrMBJSWNomurHFoGsK5qb5uXDfA12L/WGNXhNPDrLOgwms5ymsmtyK3esAhh993o/yhB082zYQFjPZwzXIb0dDn2P3Ff4FNlHxrwjDqVtijIrDOd1p4lGEX7MQXl6OiMAaMQ/LXL80S/FQFZPX8HqNtDUdYCWaGgZEgz2L/KpAGvD7y9JwNy+SqeQYdiDuv2PGswmB7WMosOhJqYoD6JCQouOBC9CZDnRiLINszMnAjHsK05RrYPE9H1QgafpI9XR881MRPzPes7676s0UzWT8X3FM+lozmRqLSYKTHOkOxS63F4utJ7G4ZQoDhroPwcOfc6Blkkt9dO1uHEGY3M+Wg+/bNOEfK5PVcmmhwgYFp5GXuuA3HEIjF/zUav8pWFc4QWwDdwcGvy7MkNRaBPXLwvmsVISp1YjatKdjTG3AEVXonjMEXnJ+qH5I3/+ZEbdYrOro5D46SMSCyXInyN4pvgtNlucg9nIC/nIbGsdS44/srAdJS9StzvUS/9hEMlXsGpTLuwEqLtW5H6Vc67oPytFXsfP3L2rG3LpJVdGSPFOhkZNa1ZB0e7t4QrlCXssTU7GIqayLYZCGUqXCxVfbIXg4kkL5TejfvHL6Yb/XnQgcigEVjMeKWjPYr9fjWZfoo/Q8MpI9xV1CesYb6J/n+Q8zSF6PAK9ta0tP2pyoiX9zWUcouXGbLkV7F5ZNb4PLEgUjDmsDYqgI71s1wmGUhN9FEODKtc7YfQKxlYj25JNIeWoeR0/xxbMRjnxLF4t2FI1zMQXZrEH9DBYYwn93KW77AmrB5/AyyG3N4L6MZQ7x7X0KNfDuNkNMSoj+UsJr8ct9qctqggsDhYzxKUreY7O5O5E+wrgFHbZTS9D6dXB1wgnzrWstwyggSvlEb2fxhYhcgUomhf01NDSJnZbPstC52WaFYPbg5CJ7LS3Hd8eYMiWxXAV2jn+JkHtXZmc/HFLickyLCkcdLw6VWY77+PzxKY8ihRVS8EbQIRjVHXXARFUv+UV3wfRoMemjcxMs0wTN7LE6RitnJfA74mQrmfDeHwvIeSNlIZhBOhV2IkE18avAFEVQ7Adlh6A57RFiQXUzoxFcQlet0Iym94YtawPEx669URBGcU+pmjUX4p8/NxxKxSiL3o5FkaadlUTHrUHuxbc2YJ9WrvORVpTb1ZvWXTo0a/tr6I8BPJ2I5oTc96E7+rRrTkAGPTJFIUnuNGBGf04v5loPmcKM70vff9MYMIPsPrO28rAWv+DAfOJJx7UwtATxMUR8qBBhqvOK3umj+EEi+UMX1AjIva9HJslvU5ARktcc502kRwe9jTc5j0OBOS6iVmKQTROQYtD8alE0ZCoNRu3mNv9frTMDNx4N0DQUWS0OtFu1c6CxLzWzebgBFPYBqOU072spYSvft6a7W/3AoDFPdhKtmU7TvIQGuMnNGel5GcLVnXsTdvIf/dUJQPcbD6IX9tqCuPRjH2QkEaxX7Fups2mleS5nfkF76B6CXkVgdrP89o3daUslny5Xje1solbYgD1ZA2pf918ONXRk2X7uasHI/uTs+owRvyMfkkY9SEw32Cz8lrGwX7PAOjJ4CrPorEUsEMCGGuZp0k0NfwTeSsHkZITQmv4/4EN7lWbyLfWzBs4/GwdQJtW7Av1na2xeARbsSZWP7H6egve8NR4qs5J5sxqD8zXm4ARlpAlQpu0m/novqsjb3UfrZyLQrf9TXSbYQhXotjJTDMKNZn9bKOKPmFEpERxZyWzyqKk9SK73qNks3OvaRmDx3E+88W2gR1ZoyMjvI9OqJmLlTEGqqdPJuy1h6ieOd8WsP8xeeQ3Q1ZrsZ6u4fJa/3K7XVZMwRHWIyEnL8DUOJxR4I7PxsjY73QPTrPw8pdWwDaNQMG+yadqyxwRl5cLzMgRjANQMeWxKjrTPm8pril9KyWRHTgazdy3/tIoY5wuAdLsl10K7plFI6ddWDHyLUhSybCP5FzEweBfW4OicfrZGHOs4c6RTq0m/ksM1CmTy92+fymq3UMwoAILs+4keWq3TiHGJ77AEBKBqLT7OuN7HTGXyLaFNTkGRgkQx/f94NMXayJU2QsdcwhO6n8XZoRh4j1UL4d1KDxtqTofsXlVT/b9LCDUn7FIZmFrFyVOUsAZjXkfPhoRrrajPqsobiYzpwv909MganYVzV4nHKzFGaapFWtSbtNVb7b4MP2K9fne37Xr3SWENQ5kcwyQH3O+Bo++03OkJpiNTXugzp97E9u7jMOGFx29UmQHb6tIfrL+bCOL3Xk6LPIhU66JSdBoq6/JQl7gPWHHgCEaaTsjGw/I+X1Pwys6V2brBXCL/ZC8o9CrI7Clgz5Kej0gmBTY5gK8UDyywc2nWj6V4NgOvMTUpnJ22uspe3gd5fxOkcBTSey+I3FOYHMCFawVaco/7UOa23FEWSZWAy9y8M8kGk9H9Ya64X6ZRVyU4jl+AyRhfJqNiet047v+ItFHIAin0kbkYrJvt5SRLSzuAfBNIJSFEZnrf6KgRRZZuQr77LjmAYQ4eospEZhi1S0WdsaSg88UMFMKngPpRthaun/5ZJoXK8u1Ow4AK6nl2kIGx9NuRvNiO71Mo2sQ3QMgVUhuTdC8k3/SBoirZupFNyOaMzm82E8mxkFDbTOhwOIT5PyP1g3X6gpSxJhH7OC6FqOIC1squxClxzJRiihL5rXClSLLw2II6Y08M2JQD5gbZ/DSBmVKqC2LjlP+C3Yc4xYrJ8p6KVAKN5NNCMSXaRoJ6f9qAVZU+n8bO9SAdgaFubDonis01YjXavs6M2bThvxLT2BfGcZ2kiW4mFKOPAK9aT1KEdr2FdyAI1oH0LZSNFpHdZakmtu3VAv/AmAagCAQ7O7rR8tiHjl8DVaESAk4ligiYeuC8/6LhHmCmTFPmuZdUpxjzb7P4oCrU+KUcpLlc1zHFqR336edZ0nimRmzw8x7AKa0jTHo3mHU0VjIb3wWsZ3G/QZIYiQlGjfdpvJgIe8rJ+7PILlnOVq2cCWgvZ4787QdXhAFzIDyoi1z3SsgxR68hx7RjWA5akBN15zNAxv+Kp89mgsCvOZjw5HrXFyNDidyFCkZm8GggCWg9YzJYfxsxBbVMfAfIRC260DatsTVHNfQqVqKtvoeRKpZ8sK3pepZYlG3uf+2zDSbjsOXZHjx6PcjK2T5ORd9IztTnKir0e25Ca3+2AcOmQxDlNRIlwVWjfW+nLudRUy/Ahy3wYZuYGU6k18T3GUqX3IKa8S6CblcR/3mHxCkhOlPiObJKjMGZ8mJVPbIoZsyM5UijPyLwyiXQCCHb3UoWbyRdYWSCJeMQMXX+oAIzyNredsv5EpslICOdMpLE+GzPnZDtZwQlcF5KwIhuMuHOJ3kReR46GlkNcW4/t9j8agD7prP3//IKk95kJnUiRzDzJs7ZGfKayZcmx2S50sG9IAjPZV7P9KBi1YPmnL+d+JoVe7bMIR895rkKX8Ur5l7TgPatvmSIIFa7Ka7Po4zlXZF/WUMZsRsdG8Pb0GOjE25lWchjHo0HWMcbMFruSliZ0mOuE3kmn0egyg4SX8VWSuhlYU9hjk7wr08FLqz4JJl8jExb6pAx9irW5F95kxMaLcyLpv5T4y8vqFOJFdb0kT5kR7Xl/mnEtqJHjJOru80mJZ3Lt42IP3EGqqZFqNkocCYnsaOSiLvTuMPKmrLFEFtjfT66xVPnSTNtK2LZ1zHYIcnE8HK9S68n9mdv+WDL2RJB78YLwkTF7JQmvRD7O4/r47i9aBNJXF63mgbAUaxJf1jBi+bs7ewnfKlIZTKqRO23vSOo89fOeipzFuGigfUsRkOdJvzfAOQ3XZiwP9DDlxXZ4HqeE9hII1vTjzV6aPYDz1cEwZJr+sFwzDI/rojyOB0agHxtGofDUH93E+uxILbaTipsXtSQIGfH4BPXrtPegHvJvoyPS0RjuwRGGwAtiC/sgfUe42sndEgYrElfIs5isWHj6MQ2LNxjX5ByzB37ct8Mc6hhttevhl0hn2BDth5Ct+biSr8U4EWAGkkXyed2sQpoJS/coolHu12V3vsjEC0BPl8yqKxWhWS9Ue5d7+/FFSfH+Fmq2Co8dtcd5UdMQfowSNpxHYP10y+uSHd8w0nC0qya+kUmK0iDWrTTrmJxSyHp8H3VrtcqnXuIx4ZvHcghfupn9X7eX4vVJ40m8ia44KzOCmkGAQcV6HNejJPnbAW6yMLBTPKSjkRPQJn7eSdajDWjlLNg2Cr7zq6FjrNetzK3su2jQnh0alJaBlCMZ5p6kYLgnIX+M7zajks1cQpdwVr745a2IEoOft/txOf1zFQolTTDSclgF0InUKHEWm2G4k4qmM/M+hj9HUvdmI1tSQ5+PcmSaTurLK3H1RFZTBT0QJkx66PBr56S5SaQC+0nG/p/NEy48we5TXNltNXYrnaYayNHqcSnrW6FTDq9grD15hDBxGcVWF7ACaoqgVf3/7FpHx8nEzMg3juoTB7s+jME3XZUmgvYv3CerrxEi614wGuBqwFyPvAewF2Oobnlev3MjTtq40qRIjY+UuEJ3xc7NcGkKJMuQ/Vi8PZR7tM4CtGl/FgG7+XYK+3V/4bqf21Kc22+JTuKSzw+6F43eGT5OZyIyJStOU7kGyFd0wBp6jeOSkdXAzaS1l5OKZ+kIkU49zaUuF2a+7WCtbJowhPL8pATwqwkxJuIVYVhMBnSh9xFeA2iKc7d/5QDNJRpCClmqjbDWkcXRifXYEzlLymarx5+nIqIt8rSWRtZyj1uieycjal8i9f4KXYOmFe+1IXVb5kzkvBzfcnZ71AXCtb9WYs66Nb08fZkabNeyAXrKOa7+0jpFIb51SyxzWUu2Nt9TxNsQ7ItMdNL+AexjPzdnFYM23E59vtkljYdT5HunxO1lv0/M7+dkG1lCk9CKM89voz21kalwyo/YDfKhOhqMIXSdrwNlZH3WSGIutBF0OXPEKGRIMXmA+4ryaZTHjZ2A0VEAQZ0oDXY8z9aH6gHXyDEuT6MAB07IPY3wFK4oGb48eGyIxCGufmfV9jABsMMbbzKTrVJ7Psa0v5aUzbofCkq2nON8ZQ9bJDEncP2sg4Hao+0S3G7U/jkzdYPseeklpuh+HyDR9Y7Iu4lgMEBtyXt7h+ywHiq6WeGIXMilOSS795NffBlYAhgwcKhIVhohJkY966U86z5WDuOmxPIBBzoSU21Q2QME2353yipWz6TMjFJFueuvmyh0JdBmfr3f/J55IbwRqFJMjbGtx+LagkcUInIfFp0/HIZiAh2NYv5Yw30jTQrPRispaNiFrwnqN3repEVNNLqLekvXWb3gu64Pd8ew1svbnmSJJfvkc8ir3Q4gv5x5D8V/6MiKTuih270dGpFFEO6btFBTKbyHl6EGxh80+MJWevW6234i2Mx1bD8/GlO4/XTo1ThvqipK3Zt2fQ1wHBe5BmJVEqWh07aWySK5AjJ73IjiCnURZ+hyitPXijLasyT7Hvtqa1AejkRNFZ+q0dLJhxPG9GbnG3/NP9xtPEzKavNAV+vFwAhwuvwiDssaeMfa7Nd/5BvXAykRRZTFWKg8ZopqTJjLtOJwDaQ1IVOLnDMUOLGAI8AesQ3bubRy1k0dxkrZJHgEQwX3KzNrJwuK6WRfV6ZjDXk0BdX07+/oa61DK+k9Sek3Hbobyh3Izxd+YwRbddJ6Inp0nq4wKyNPZWYeRMTodxGdlQKOVxbCvoSVlGh6rEXcHDr8tPHM4DzI+2aZ2EGWzlc9ugROnPE4mTfonzyFPsql6ad82YvRM5R3mXpaBUqpaPHf09dHd0aSDOI+rGbMHr+cI+mZV6MWY3CJd3G05MgRkr5KkU/QsPbSlqWuvIdWqJ2+Uu4HzYXnlTc6TgJbSMClVQ6mO+JYIEqNn+1E12sVa04rnSDkjsvuJKLbyPa7Fq6RuJaeQZrEDPMg6JPbAymhzXei1Tk1KLJGoYjCKVcq4tZyv+zmTPagDG2UPJJLVCgvI0j/qx79fhrpR/uWvQZmvfiRHdOyPg1HfH86H2rt1raJZ/6tM4za59taL48tozLYkaf807DqYXjpL7rtrcgoF6lmUpOZC7X0Xk2fTmmaN8qHjZmM87uA+x7NnG/efCg5oDHS52Pt1PlTWA5ARI0YneLmWo4ielqm/KHE5h/iYiFaUtiBCQTW2dN1FQCE15juU4t6lXrgAdGrDTw5GJ3hW5fUP0IJsWVh/W306cn47JfWIOtUqHqVo+cXpPAIVt9F29RG8wqbazRZdyZ69jw6Yzr0p+10B8eWjJt2H0sLDPJ9nwdLRWO7fdHgZ9v5109ameNEVEl1UWQ4GwRtB7q4FKV2Qz7wJfoCylJEeIFMi6Cvuc1emc8vdjNkYiS5y0EZZnGaNWCF0pPpZJ97++J4EANKEVsQY1saxks6xpohgDNZ9OKk6ruMIOF5w/rMgJnRDeuQlDfdxM//OkJjFDvKoI5zyMmBqjo5xqEdT1twsobgfnRUZ1yyreU5s23KaWUH2bgoOcVpSEI2L8Hx3MYSGD/VsiVfZyffk5hzoKKvrb+DnAzkHzyKv1uRTXglusg+s52fbhSkgja3hdHaw4EZvqbDKn5DaMa3novYgBWGq1mI/LPoXlLvduKWNyKFby/XhzfPL86oRl4HJxvQrMeLHUFpGA4JXJOQ2ymkOgngZD2nf2H2kcQz5NV4fS/KA0G8/np4o70T0LoanbNLIIAE6gmAEsWh8VEDSKUqtJshBVp3g8vHnEgz3cDz2Z1AyydsDdC6MFE0JP0M6shT3rIJogoPRCTCTMPCr390TlWVt7sfzs06oRykPrX+s2Zg+s33Hw6ERe4ONPMLDxo3TFzukOgPBsBIdh/mVPP9plHQd6hJGwX34HCNaa9HWrG0Yjy//vZu1kq1FteOIOY2MEayLkY3+5VT8Xk+2I4bEFLzMMP+Xl+tvvc3aZRb2w2j5LecIcx934Gg53LoFDsQQmuzn3pc4v/Vp0k8/6JVyz6cFg2EsllEjPswBcH6mB1fO6SzIyFDWw6hf5hpbHFwX08bvIc8lMXzPEsUvwyhLajIaWamYLCJXxkS7j2Ct0yNXV7DJgp2aFIbJjPtsQPSfHwduKcp2OT2XDt/+E3nXyfwKEvJKpEav5hw8hAKwf7gwRv62UoktAV0Aol0/b3/oLZYD1zm22LjoBVJpps/0cpcjezMeyRkIWopzfw5fGIrz+HLJvKH1ZS0G85aM50IKTlS45ZEruU+BS5L3O8/VCLIEoCaNwroDTP+4m1GKMjfNOxA9SJRohGRbWikUhynbP0gFD8FoyHgmyb/pz5Lsj+lZW3YEJlmzrWmdkHTwM0zDsYzXFGX8Ntmcg8ikfMXyRKfh76c4R95bXo0S5/oMxnQO9+cQgptR9Cq9OJr033WIjFtg4DvBNiXS/0rk8wx/1kKN2QzlOScZgE95T25clVM/y4jkA2hcPadGVTJTOefYjFpzSB3WUzseQvQtYFIAj6WLmGf8n2Q9pKhxiI3u3uIMD8AwHuT5XqDX3rml7xMt67xe6FKfPYnxdKC7g0jKQqsnEFRu4MIYlYIYT18jPd9t+QAU8l1yu2e1KwC9YMbl0+3U/zF+TokaRzp2LY5lfD3JmXiHAKUr0afR3m8BlJf4W7sAhnK+5st8xN47zjE9eylphWsidWTHD3dHQzG27TBy9mkLLl2NbrkW41T41kQHRv0hWLAw8tCdyN02lmYY8zlEuHUIDixFlEb3HGDfS/JMnZFZ69C2BT6ELjGtf+IUtVgMpQHPZNY+WCWeMSdypT4tRxthaRx8+92d2uX+CBoqRwnJEqROzSN0MNyL/Kn/viBD+o5pYfZEUhdpUx/hNZtkUWMBXIP7uJc7+ZmBlXX0CxlYy36zAM0a5Jl1K8I5EpEtyl7OZu+hMNmkcwqsOovvNDv0C7pnAE6PWa/dZBF0ZJVB6UjFjnhZuvSMf5jUehXvmZlfHX87ZBI6IlAfktc3KnIhx3IjsjQlZZ7Ce+I0TWmmhlgD2HMydTTzh8NRx2R0dL5OZNo0Fq8jaZF5pC2fFzjBITdyMcrS8Dl307Si6YZriRSc4OIlUYXpKr2Ld7mHLkRwKja9WdOApzafY94fbRec+qEoxrV4Wg9SYHaxTWENR1G7mELbjeBkd3qdCMc0pPyYcmbeisCpcPX29DqTG1fTUXGvVIYziXM6rdmYntMwdaVe4Zi3dKYd2WRrS+8xXmwU3yHY4ycWVQL59hwevSTTni1JCy5BkGzJ+adLlJu1vA4oGhFyAoF+4sDMp1HdtiXBVflYPFNPIul+xau16C9SV2VktKhxfQNn5iUQvYIEXiQlYsTRmQOjID2BkEpILqmIDlQWjEriZKD//WUK+9PtTOjImBBIFzZR+DM9bhuFaE9T2qawRoH2NF2bgT01ZWuUvhfJ+ot1fYysg3SDPtMpip11aODOzOvK49B5UARkeKCHIwc6fQImtiNHprOO8d8KPMdB9ta+ONGbOlHKl33PczGeYaoI++JZaMy9CajwgDgBQ6dRZGsHjIcj7q5jHbremCX0S2tcS+Kd5kNGnVOxgOhbh+kP5EcayfM8SDMU6GQwCdalxsCoJWK9BA7Xe9SNPkQ27FmdQ1SgY6VfZ/+u4AvTx9LsteE++iKfbVGaXg/QvtIJFLQH8qb8J6PKpMfWCUwg7fMtRsOe2G60u0jk8C5nbD/30A5gkdOtrL+KkPV5uhF9SrphVCezTQ6UW1P2pw5TbxwzqZl6MG+GaCRIYJHR87gn62I/82wahNkAmx5gvNzWw+mjXkSjsjI5ttGJI2ag/Fz7aWPDadRWBWfDmb/PwJl8hM8pQjTs7z1LpgZ9fiObttRs/bfGLDuyl5dz+zNppvQJCdG37FNypPeFJFKVphN1TRYQpTg7T7FPcn0/wNmaRl/uedbCs3AscQIlzu6RIFv/iYGVNs+2DvuiB1E2aIFR+5h11qiKkk9rHvEil9iFdThi+VHiniezclIMigX4Buf+9eI5Qp//82RoRG6fp+nZ7JqBgGnO0+yfJDfHAal9gaFMjR7TefiCmnoLzoi13PrIm72WQzD2FdFfRk9eUiVap5TD2AlcW9A78m+ruww4zJ41TQIjWUuU8lX8wRz0iuQ1rqMAyfTIjPpGoyxI0f37g9au0zy297Kas/UwTrFJRVPD4lNCBo0/6mzPU01ql2+g988SeZ7xsMuwwwft4XNn8M8ZROfO4VU3fYnDmwMbY905jeU+dFpjnvVa5O119KdjFCtxniTpaMRZqEtmqBkZLzskSqFXrBW7fqJ3u3wNIIk6evLLr9dhVwaN2JUHnZ94F5NnXQ0EPAMCMrNxL77H4GQo+yDl5iCe9TB7+gRBZdz/G39XzDqX/Ls13k4fSo8sivtJkBXFy1Tc9yzOpUmRVEp5Mvh7H8UlPaIsKi1ZiAKmDJJdGql0oQgsGwwDo9lkc+9fskFadWssRlcKvryQtSla27NZLaDK6G1E8c8lKF6BB/cCqRCBK81Z3EkoDk/qXKJoDW4zvL0fiRQFzezh4e2bTESZwabCJrhY1+E1651Yw3TKhGAVSc+zsoD34ek1px7pmKZr+d18PLobiEj07qxXaag1xE9yiBU8G/AroLiNpIsDEhgMdZbpvaqkKiWVfoF7fAfhlWVH6jI3rTae34dEJd53mMBxkcs8vhN/TH07z/E2WoGq4kFWR5BSsdG+13qP+f+hGOIHMAhGEZUvTwjcp0a913JPPx2mz4vIugDsV2YW7oHZ5Am8S+ewWp9yfV4neg21Qu49+eSg/62JFUGsQ2bGwDX5Cs9apOaj7Lm6yNR2OhSpc3pFRQso+5G1r40B8kBO5+D4PmuWkhdIEj+Kmoa1c2vdtgwJJPiFtRH48hJ7ZX3nJRRKEdbDWbQ6DKJCTQnrfeowqTwkKDHyVVkM4TAXZu0qsQ6CKIz6nKF6GqU4nLW8G8N1NQpJcFelFQcC77EtPNYUn0HJOh5rz7G/QposOJymXXjuBgCmBDzlDFy9iX82cK+OATNrIdfpHuS6G981jhYPsy+m8l5BpjUCT5Mm1+Ezoq1JdkSuW6MZ08uliXKao3A/+uUoNVCAP+nSga6m5gipxCG+VGNl+vYvZOBe9nUI0aZYgnlEYLu43+edwMPZ+OKv02EWsy1rDx5NG2VPTR80CuNxjKtrniMbw65Z/2848yOJbOuhQG1rWItB19j0wuAL9DH6VTGJIDZdvILoV/lREen4fMi/yxCit+d7Z0Oi8RLOhWXtn7mX4qybNVuDA9f+M5DGpry7g5JdteVc9GauPFHJrJdEiyvnIGvx33WJn20Ps8o05aVhF1dh2t8SiiCYwpxba5MVADz1BWX9GQA9Ea6evIubR+qF6CijMXskrVNrXDVMema2Ly2kjq6ClppRwyiJiuBG5ci+/zM839XoBnWV9H2v44w5/OFO1v1b/u2AkYMaK9ZLNLoyrzzbi7mMKThlieCMmNIhFyWQO6M35dc0s8Q96kfLYUWzp4pqkmp3TqtpTft5vWJjYduemTkzRYNxtNXXN3KOlDv1rcFT3PNa9crE7JeOuYA7ZVK8gKhZ085fsSY/YA8KoRsdcKLzLnmQXMey9knuPxq5W8d9mj1yfbMiE5bO5BEoRtZRohnZ4xxPmhOd4zFxhwvo8frAvEsmsGxkCQojvz6H3OpGuhK+OO95O/tpF8Jkykav4Jh2xFn4DR2r0VSnfc7eO7s65WXmcjGOsbzVPXGKzXh9zvnvbEcEOkt74CVaWGde512sTwV0qd0M1uN1cOoXAXiLE6rOdF6smR5bN+12Ue8YFCW/lMPJRP0LcbBGQa0p+1qCGyAgR0SmLSlLCM3lDHaqffIIT8VpEV9qOQ3KhS4NWjeM6RfUFeSptd5Ti8jkAT7X9hWvARg1i9pjifzq8B1prKEg1KVZ5HUcKAV9i1SH7MgpHmIgaY1YiZ0y2uE+rIWayzfn/auALIRhHfdmula+zuTTaizAt4QMPnhVCPmtHLqH2RSV58lTICr5nbmw+/lei/KTt8K4hJF8kH/34rPq4gRoNUQhGjHvQQg+5NlkTtFz9170vvJw+qr+CyAKSmUlCluQhPXJATgldydrA0q5bvajvoYQ1CNdXZzXCYCRJtGartHrXkAXzkE1WlnA2qVHaT4keTuvycH3GxVcgsAZXegdGj0ZiVVlvU+xho7ucg3t7xzDa+2DFfDl/EuzBf+bK1ZWrnMb1k1GL704Gb2G86yiNb1EKK5GMIckzW10du07rPtqUlXK27NJ8mMzezH23SyEz+slelgFarrYgdIqhTtIxRodON5L+rOz9fOFtJvAAxgIIdggVcbzvMThX8xnSg5gM/smDsm1DkfgPRW4Twku1nMo3/0RDaiBsFUCsXic/byb9ZLZB1tP9oVoE2PiXj9NBCOHsV5uf5wAPdRlPItKYodWQ+2rNkMOX2WwtM6YPePpeMYPea1ZAzMo2XUiknrvlP+bcDoEm+h0vkjmIpVpX0E9HPKbOMTbdxDhmXflfRlP/BXtPeiQ6WyRyRD9Nb/aqUhd4QF+h7TyV0SokqYrJ68AwtAI22ZTbeUhMASgzXmTlHD2lY8CwNTk6rTUSyFNwGk1rejwhPncV19qt6JqncRTkLXvR9+tBkPAlX25jrFsw7q7j7KrfaahuDRreE+oh7PGzakNf4OiHgHa+R4MhYPexQTI5uTnjmYW7aV85zWHj0aZCaVf25A5KiepPHKuHI9Bbqy/WZK5kIE1epIEw3v4FZCYz23GJD1j3VTMtt8JstSx+XeXWQgBeNVAlL+BDA0hRWt0/BlnOB/GyhYZHR8zbsq/JYqQlWCvBUAVQm5zHk4dvUTqvwHR32fI+o3IdBf1CmuxCJl/B+Vstklg6HzGcn5MKj0D73O03nleM0odh85Z83hudAYpXFscebYFv+K02u7F92oEnAiVvDUy+bPZrx6XxuKfZ0lyLQLASwuX4jKjZKBg/7fYgKeJ8hYQjf+gg4HxPYGQCS4TUOhnOwbyCeTz4cvSB1yFzpLTifyZBvwJsmfKcz6M6PPFMgenTCMul7vloGcwzOIPwthDzqeI3da3ktJHz7Vj/U7y80P8MbIOWALOvM5eIxxrWyXV99bX1Rc6FDErlxmD5PzLyoPGVfzEZMCcZgRn4tQ/Rvo+P8Z1DFkKDbq1V8sa/YlOTTGPQ3+6ZFeAtrXFy6HqBi0GI35nzItgdGyvs10SdgbI/KTMqqcN7iwV+dxnbFtyzQWsbDqYWNPqRqrB+uqF2q38kuSQ9JQbZuTn6K8YPWyY/AqR7ldEL/awWrPpieHJwOeUx1idwUMewcNey8NplE7w+vEYEYXF1LGDlDVYpkcETAQXyAiGz5RXVCBDKZSRk1veSCJ8UBAOsrEyJ3kgLPo7umkPnyVxs3WZ0SycStGGfp93EAbuSqJA685PiwTjdV+hfB9AIeh+67k7Ck00dS2Up2knnQ1T0asPMHtSBCReWwFqnRoIN++mBfuiRXgxeu8K8UsAw5w9an3F9dELs/Hbmq/13OYI+TaMbVUMe2+i8B9RLs43dDP9fGc7bj6QOTS0j0GgqhFxqEz8AiNd66p6W2FKCDWhogi1hsfNfxBl2xVgywC8VNPRws3NWFizdFrEv7tqoXBMw1qjb8l9Or3lGBvSEyCEaMnjHC4jWL1nD5oHajxG6XuU72vbMcQYucmgGzVSEndbo7LlSUS24DGjFWvqfdiL7axBUe5Xr9ZmdsFo/lEeBV95iPV0pdDTYDr4+SWMgjzCtopoeazZ+Nn1AC/J2jXMUWfsiWk4my3S41l3RYbsAfSgzGQ9JWiXeScvB8Y+wQ8ldsAZMT3YHOdHo2+9UWTo5URLnXC4ruEg2uvYn0zC08iFiMX3kR2zBcVZ979473I+ZzE/Uxjtj66PUp5LBCK5gUYhJ2T3OlgqUcsbNZcdjPYim02vzQwykYdm/49BrZj/6LEozQkmBqVJj0PJEGjOg2fD2bNtSB8vQ+HVhcquDsT9EjR8S7S4x5QeKVwjymEwMqlQNHQLeYY/UHCmzReASs7HXnQlYn2N+mgfskUOfZ+LLAk6s1alZ56ThRyOobDuKf/xZtZ1N2fqUfaq9RfHwli4j2B8kjZSx9NWN0FYTtQZSOThfNNTfJ9zaAUZ/vz70ajY0cPRd3BvneO17ZJIC4zQbaMwerXVynLEn+iD7nyGClNyFDMcnnOd43Q8T0H+rYJcSSbqVaIfeZUlHDB9mtKsBEAMv1c3ybRmRPo1dX5HQ5oONUp9jL25jyDhdupufs9VSWh0lbwDJkTryvurM9GSqG8t5bChDAox+kvNuU4Abf0k8mDmzpq5/a790WHFrX86Ro3128XzmdUT5KNBVRdZCzValTJTZLBzstVX3qfOi2QXXvZmmz0JM2b5vA+lxeQzB/Md9nALhirGGbwYS5PyaUuf91+fDJ8p5zWcqZ1ZzUjwHSH/6+zsRCY6gwCdjOropmroyFZrqQsDTJSm1AM2g4xQfhw38TYNGBBT2Qyja8z7zZLoOFqbF2m+H0DUFuyB4xd1PMdQ7ksLinET+tqxdWb/xOtMcpAG56wRjqrfLymQUeQcznJ7ZEEiDL9DEG1KrgWzWeopHfPZGEEHhpju1lLa53yI32sbNNZtKeMFw+kz+xp06QTW8H50yArOrU6ICGSDzpe/hLkPVq6Yx8Bxl3I2x5cyGwZQsBaW9d4hiAwG1khGz0MB8jI9caFLw5B8vFrK15g60WOIE6Ju4P02N5O3N6qqSD69AikwUWMnWDSNwwiUnEL+LF6KAu64Idkxyr23L6QCTbfpfYdIgfuTQkzP4Rc2px8/r4bx6YORcGxaXPzfhvKXh1dxlCnIlNlxFJUG4EEOjt6xfWEf4U07ePgFFHRaTpY8oAqtit7xe3N/B5nH6yfgBAgQWMVtTE3Gb/o692fwYhN7TTZE4+plWlRn5TbStI/y7PKyiir099ag1qD8RPsuRSGMA6i1HwU2GiT1cwA1fuHnrwFJd2qFfKUOFHA6iwdvMt/tyMC+GDanAn0hAQjrsI2UiO12q3AkVJovYIQddOBw4zKsj0ZVrlvJQKxJD0I52AP7C1GP6MyYlzj5fuqxZ2C/rXtaO7S+boaC8nQAbIQ0D/uRyEADcxNp0xcRUkEnOagRfMT6BqFFQO3vM61kXaga3rC1UVNIysvXB06FVFZ6UoSu8XG+z9praYT0V4TVaLlh0lgxnSXRfj6PYI/78e510IyiNeyLURpf89lh3BpKSpJvR3FZY6tOJuIBnBLrvH/tPhlQubLPVFtMhoJ18n0+RxaR56ZruO8R1IZOciicmGIvp5SOVfmMAmYDOOxvohyNaG+VcpF9c0yWwzBWoljLcoY0oKd4BhWvjqFOpAxSX3Mwv+T5Pt8LJy1y04WIP84OOOB+Dq0Xo36iDzWptHCIZsFB20AWH/8zuvWmPFHHLWeizDyb53YkHMAS8dt68wTfNxuP3KHsl7FXl7GhczC2w5An6Q57AqZySpZG09FyLXH6dpAS7kzK1nqrxnAZZ2IUbTb35gdJzxo8jZG0Z7b7v8jSEJnYIrEcZTwbw3x5BlvQGEeH4ZbAPtN1kNfDXezUIRfzGSJnXysQx/Wzh1CFvop1aPQ9cznTZonq50IZQgkpUMf9tPNgM2fHT67Jd83ie77bczyQrK8kpXr9nL3RazjTGpihKMdunAkBbDfCGHQOA1WF1jijPeUmRhonl2tR3aVoCROBroyb7m5bIkv0HK0hGrOx3KuE8SdY34E4bXm4b4eQGBFbrvH+BMpUxeF2fa42SjYzxvrZ57+c+uY7GAfn9KpLxGc42GMOOJJqnDX7Z7cSFatLziXhPqRPFXQ4GSdTzuxFSTSBca3VjJxGwzYTWabULTGKX3RyBj4rUwJMZxhKecof4PkuI1KbRMkjOQJaHWw2RvTuCnSPCvNFHF6NvDgW+26fQdabM//WNk1boIZjAC3fSzdpyrwupZSHeY5WRPu2rTk32sDHBKGB0SWcJfd8AWcgge8rjp6SQ9pOjrsW7qc8kjEqzNm4LclJyo/R64scLmAYi/VdnQkdo34YOc+wGI8MGGMdI/vUf6J1yGk9Os6m2+N1SL7HRv8rAeZqVxoTOZviDgho1Ra6aQJZpRWci0LskbzR21BwvcjUzGdtVOiPsQYSizzPW5wZDsQhZBK7ATidBtjqRHBM/4qq4ix/dxBGtS2UAfkO2/FsizTYmIEMFJ21N9HAeiXvab2gdf0Pf2gNQS8weW+qhk8hcXKEyvVWBEH2Hlto9NxFdxkNOiotJ69zaoywoDcxApkwLOdV1C4SAuZnJfBXo0qb900rJb/Mjb+FF56O1zRBmUmt1koeZf6uwfffzh2tgaIswqFUh3kfezFSCskL9B1KqSg834hNobTW6IBxJwHFl4bMiEyw0B7eK6JMB8VnN9DuxqFdiWc8CgPgNJrPEMSFoM3aIkzL+bdE907rqYDHpzA/xnPcTbTxIYYsLxt+MwLod8gcpOGtgOco6YPj2OTLtE4wAiCKfcGiJl8i6rVVaRapY3mF3dnWeNGmYYWWJ/CZTpbwMiqTPNv2pkeZ8zsTlKRRygLeO5x6trbzfYzJSPboeZS/lGl6m71EJSOAafgstyQtfthhl4SFc8rMLvtdeZZsHJCpPKstL7KkqBg0coLFBICZwnkYg3cpWQNrhBtYB2s4vk7lmJZNmcV9NyBylK7T9xnpu64azyuJliaSarsNrz02rnq+D3BAd950LpqKoX4NJ+IuaoPOxHX26zE2RxINySPeJA1oq4RRbh3kYjrflRkFd8g+SuRBY6dzIcglC/dq8/qWI+cCo4yH1mhaz1n+0Zg6Ljc/NG3flbJCVwxZK5yjYjiXZilUGul4rXR31p5lfrkbxWP7g+jGphC4WGO2/vyRs0IFHFrvZY0FGPkZl2dNE334895ozl9po6JXZo3eIGr9BGPYfqPGK1Vou6mPQZuIAvAZbGPwLNnXmimgjlECfKZR6KJ7skQDcR50NJujLG8jUrMG7AQez+0I7r/8pYkJxqtYlwdZ53u5X42eU5ocFu65OAU355/UFx8FtSzwaj17b9QiIMpVdNyj2ZwhfFeDKyETYe0aQWKRi7VrcRm1eBDB66HBGkPKWsau1NyzzFzLWIe+d2cP92LLkcMdnkb+F3GG/HzBdGIpWuJY6xQ7yuycmR6iPufbujfv8drnSOMOZrqWl2fJ2xoIs9ZUggAHTKzffzTgRYzURI/aljgLRi0zYus460ZlFdnzXpy53mQznHFqD/xN2Zmxypmoh7Mwh+/3aoOhsjZXUaYkzp84hYr0UP6Os+PrzvBFInVNf4pZUJ15Q69i2N/Bybab4w7wEwK54it5qct0uIxzfr/jNc0W+nedgtroBVOgPt86nHcF1HGM1YncZmKsQ18uRqUdyt/3TaDU0fRTqCr5u5ks+0wbsr5vsU86SseTKBudqpYJIcjLBxtEyMxnN8QxfmaKVjmzlacVnzsfvdXRtDiv0dioWOWuNvOo/IuTMWoeznlMR3ZHYgun4WSXyJ81+oPPky3KPdAJqsYZkfSksf3x7FExHHN1cC3OSpa0f0Vd6FDpwr9XsZaWixxVKAbCDJ7ByLPs/efYmk3qbMGcKnqWRr2qbq85b2+0gglnUx/IGUYAvomuS5UEeNKaSzwzEd1tiW08n9uYzxctvQrnwWzJndz7sG+PRqeQUbmU5Z936Ig6Qb6B35AFAVz/vkjxHxrW+GUCCwRdlE2qucY/NzI1SlapSNcV4Ym9ivdpdLSWmx5ANCFwYCMHRUBBFzyIO3Jmp5EawWBTCqGMPeymcU9edh6OVCdWJDY5y0sbX3qktt/0xsjeMnV39EfjfIFpxwbprni+KzAc1hK+MKXJfQpWsV3Dgv42vBnbIe7AARCOrkDHjfx+fvIxVqZXTXlbuzCyd1qMjC8ufA9SOCNQ8N6f9c8lCNYOFEg5xvipmBybJurzGYyGLRPf0KowXhpGDnpvGr3tDa0AYtt2jHdKM1KO9YgRbF/h6XmQBTI5qF5v1Cj2XTxMHYQnSIuGVBKbG8acsU7X8yzOmGzOcytsS1GSzsk9wz3ch1GXlUj0YSdSnR74o8jiw4BhfkRBHr3xfGDc+g5jaT3wWrS1jeKTeH7ToEa21qsb8MdIZe0OWhJ4Dmu8AiReYO/uzJuoHEyhrudzJrEmIg7lKB2J8hqMIKfhWZcROa2ybYEaq86YtcpvqRMa/XuJUPY73sIjvhJBPpQU4fXHyzSzIsjkDw5rT2RJgpCvWbff9fh9P8+kszIM5aKDZcpfgMxNKOS86TNF5VCKfdg3syfWcEtifJ7gdY6rEkR2LZl0D/5SDKCpJQ1HE+rEDsTQCFRDBt9nvcZw/xrqPNyPNf3voSJsjucroYkRez/SeA6fLs37TQlu5f4eISoQNTmYdbmB+zFddtCeSd7fXB5ho7J96aLpH5/AaTsUbTpyMpqVt2DUFOO5FLmaS9Rq36b1wMch4h8BIMqaqCCqVtRjja5644zp9oslcvyeyu85kJkFMc57uV91YiM+r8GVTBDidSr0iqCbBTWa2tNAswyhZhuIEPj9nxhlFc6/koCByyGTkGyiRE7mcpIqls3J9Kdlt0YYYXss1xAxF+TM38vZG58rc7QJpG1BjPRSQEkykBkFzSJSrUFJ404+y+lQfXBaMmM0dD7eDKMY/4q+QEHPYu1tH/pBo4Ki+5Rz1BmCDaNPafXMFsWXUaXGV5DlB8igvdZSl44nstRxnYvRVXc4s3UM0ZNUe/JK6+cI0utAWnQoht3ykyhdW8Z687odrMUtOHbWo20FJPAnO5XIAe6UmJcKpwtAz3Ws00p0j/W9pzj/ntXxyLLo3l4gnh2/+B2p/wV/JM4TvtAYNME2EnEIPjNjYz1Yx34Tzl8J7nGkOkRjoqXlXvLxvILMdLLnItsfYBiM7pTvwxpA7KEOLbMUqIGnCzLfAr1zBXIvWFCnug76zde/QGnmfaJza8JeongLMHLwK86QUX8IPQwrBQyxv65Zc55T3ShFay2cDB16cTWmX7OJseFzv+OMluT7TIvbI69t95w0w6Cd4x/nWec0rNE5BNd2n5cx4ndzr1mQSVuCPt4OWpzX2Y9qa5cMfu6jumcextHJTu9C8DKFfR7BGnyC4yU2pgN6wFS5evsPsBAHj6UKZQhT+Lej13thP2ZxlhvQMurg94YY9OlkDjPx3rss2fF8wyntPIs86gi1JGt4Dd8VEOSsY2de4xr8/zawCrEoPNtW9GpiY+eBnI43LfmxqUGbma1FJiBZ6sV6RAUfo5AqgOTMTd2rqeObWLQnQd+aKrKPth8PqCB5+vOxUQ69lmBaI94PpaWHm3KivIda9py2gFPsT3yHsF904RSEQHTcJBZbKkiJLjSYTpPZhxJ4lcV1g6yLpOYzpEhcy2ZU5RCac/eenfso+lkjb7pCD05Du8siF/ciL+qLHzNblc1WUatMH+dAq6BuZkN1BpoTZbgOelmjeb4wiQfN9TgblJqDYarbFKjDvo12TB2pLGOiCqMCIw+9NhGrNvZ7SAQBeRBqoCTftVjPe3/hEDzN597DZptuqoBgL0WxiJA02jaazMfzPIPQyvrWlHWx1cL90Ag+QgQ8mbX+jrUIBxflUhAHZC5rdy33bw+mczAlBbibmrPXWmajevDjywyDAm+kITGIv+vBQZVGrj/r6b08R72kBsre0XoeX2sbn/Fa5UbTOqZ4YhTSjPuUd/hp/rsyWe9Zew7m7Xi6RdlvyQhMZY9E+VkeaIKzVR6F1YQU4/2sjcbVyzKAU3+sU2XId0noG7XXzRT0KiJD+1eN6lRq8aX33yWpyd+fST4/FuVYsySjrUj7VSErYiRXjP3MzT3YMz6bA+dey9P6HJkUKd3G40TpEJTB0byJ9fR3beylRMl7KG1ZCgKHsjE925b3vUiL2quPXx3Nm7UrSrNlT7T52z3RnNPZguO5VNAM62iddB4p1Uzsy2ZS72VZq59Rvt1I2zrZR+2lzLofTiDys42oylPfMusvf7NYmC6kg2eRQusLof8kFN/zrKFkFAtoS8vF92xVkbIsGpmzOF3iMkT0+xqNzzwoEp9EmQrYW01Un4W1MIOhEZK1CLEDyAhn8fET0ZljJ6I1f2YJzo4sYoJKPuV153B2r0V3mL34hvtMe8nZwDm7ALl4mjMlNafgoB2WmlDot3BucnFPZjRMZQ5gX0YRGRpt6BgZGXlpcyVrEF1vRLUOY5sKZR5Tukoacj86KAePKEjHNK9n/CneL4eV2QAHh0uXSvtxOPfWqg/yHRp2CeJlWrMGJzmBEX8F9JlG1XqpKVwX+WnWNDX/vRTZcDrXmzi2s8BnWCaRwlHnPOWlY21WpQg5S0tFLfmMfih4S0UjHQ7ge1h/Mx6PF8YJ5ruqOYfVi3WXFtE/4fLjk/yPLMiDLEb+tyz6qR7Pqu6RuMKMwkr0ez30UXJSGbN6/pEidxnP2AfnIwdOukCf6ei16/md9WADiV018oRsn5ffrh44Q63J0p+Rn61rF7qkhPWPevNP9mUka2P7UxWcfyNto1brsLfAAtgawTNad79FEYswboleMNv0paBTMnHjsAU6TZZWVsIE+ICBQVILn9lJS2gLDOg4191vRi+RAbD7wLYdJwZdzfocYI+HA6J7H7mW5moIjmtmzoA4FwMCAX2F0ak1cVS2N8r//2ZgRfrpgemdGG2qgvRUn0IxjAb5KbGECGKjDQV+JJGdEaG9bh+inIcQubpxn1lERlj0tN1rp2zczMG3v8m6VZiCgWD0pj7ZmRqfZAAaWPup2hA9FGGxXeSUl17ddSie10jraPT0CKtwIKXa6gtz1B8ow/Tcn7NMC/IMz/E6vVhrIKaRfTaBTIvxlDXAtfi7aVgPuNBuDaziIsLNtEZ5DHU/SMgfJ0q5H6Ug8lFUrIfIIdrxIGQPyHNseiO8QRura/H7lqzZSIy+BtJWIZvHqyJ0cq22uDYdHm+qvwcD+F0vYlyciuPafyrloMqO+71rybnoDr43Mwv5KEIjF+1snj0Dh846hu0IgguChtHDTRJ4vcKWREizAWCt57vzc2AuRwB/4CAqsI4Me5x7/J0DWD1kCkibotDGkPLxIxTwKaBYnT7krMVmRIZFSXU9jjETDOLe6gCENBFRrak6L6c1OYPzpHab22rCPcgyVR0j7/oZYZjtEPCg4nWv7PfTAxd0YPSQmVRZIZwBnZSO/GycjDTcrx77Ab5mOCWGubzfPuBvqN3cmcSE5fcn9lT+VzruDn4W9oDvXL+XWjhh/PvcQ2XeE7Pl+D7vRSNUlwjLcsVQ9u646Vc0h9N0rJn/SKQmn+5KopazeDKiJG2BkMTCiTivI1PSq9nK8hHRmv2L76Ig9dxt0UjN512DnB/g926vbRQ6DNN5/9kMcAyzRhN+PoRCowWnMJkeiM57IBt+5odEiFrRG5EvR9KNZt0ciO7kkY8wvqfZk8UokwZElMF5TerxdFf8rlgRfkpUOIWo2AhxkWhkFIjnyhStNcqgp7kvqRgf+eAwEWBWFCUEJrP3RzuRs0wonQQ+0DFvafjw/kTNj5Mt+c76KoiXPdS0cu07zHSVhKj2TRDt83HWruX4lnSl3hV5omw4Hu6l+qWxtKH8qc66Ohlq6Q56Kdn7jCcuCSA75fQM7+tMlOHABftiHYwhPd8oDKTljmHiQ/giFaio4Q44WW1xIpMjbHW4TNfbu65BFIvxJq8TH+I85m18tutmhu01Mj6SDkxDv3WQ2IToXlmR71sjZ6paJ15nWM5uW8uWo/PMHgn01Hczgt+0i/GcBAyCGWktJ918ODCW6WMpU9kIZ5U171OH22BFYI6gr0e4zyWcc7m+9aFGYfyhIeK9lGRUZL4xttVJZ96uiaqcZWvKSzEo+iiOh1xCx4OUiqbkZfD78/glYQ26k/m7BmN7ocuasZlJyzliXWTCyovTOJk1cfC6jGzVyartRcZr4KyU5vWB7xs9KTn/f3LpwDXJmZ7BJGAXyGjJOiWYqAmOudOA8nJuXsLxdR0cWWe63R5jHRdRy3sxtgORgWzIhBwInsdFv+pAJLJKqZd8ToOuF7EFGlUdMlsFdfY18LKNvcHvjFAz3whVKot2BTZGgOw5epttnWrDGb8FO2HjUiecBnECCf+uwTvlAvzOoTdtq9C/gFcmp+tQBM/UyVUo/t6QCyigRdgk65waYPkaTWFotEQhtoQqzwK/+WGRr6FPFOHxYOgd3o5CNAXXi0b81wEalETZ3M7B0xsRCWy/l2O8pHM0zPej9Ka8TNO2Jy2pYHmPAYZ+LTB7DsijGMZUCNOnpnUQpN8RtLsQNL1Zp0nM4rk+Y9hx2fcPRq+hnAvwc0m5JRgwipRJZA8bZuRjytYoUIVfC2ER2efIotBriXF0s0TorkbJ6pWKwh1J/6yyXol6ghNZevJ8pkYcNvwDa2BvpEOah/GzotL1fXgA4FLOcFi93HS9aTvgPrW2YOFezQR3nKApWzOuy5s+KGoJPyrgWKikbS8yYjO6uJMDaX/WFhyF7KyhhApTEJr6OCoS7T8BwOFH1ucnXlMSL4wKeEijP4MikgJSsnhbsLz8vcjePRRaHBpu4f8c67OeCEQlXIIDdKnpdj73UYy0Rt5orgWH0TFq9qjZX5cZWdGz7olQmg2ZhhJ2T6wPCWyy9iGr0geshfM3XXuzCqa5pOWUPKIPRus06yTIQATiVhRxOdbrZvsJ2QsPaTxe60KHWsNmb501+ioOAih4PprK56bkGBDZbMSiMdbhqYXRyIlWtCRSkyyMNas1yMFjRI8tWdMGOBy+RxrMe/h8WW5sqJcI4iA/U/ZliqnOvWrwj7NJ66vnCWAaa1nW9M5TL2/K7x19OIY1LZoWLuboz2jFmh1R1kNZo7aVLo8uQcG2B5AkHdx91J51Alyf+/nOLzH4EzCWT96QIVqJ4Rx7h1SG0M1xTs8hxNLIScMhyvg3CMON4h8mPZyL388mmnfc3Xusp60TRbj3I+cBp7HHwcPii/axZoGtiO8bd0fmwEb1eEHQ6yLaIbl4GMPRDqpECTEq8TMdko4bI9DBIDmZW/A4DE8f7j8X/YjBsPfRKEjnSwMlSC0MiU+6NEIqxYrvJ85h3peFkWHI/jadR9auCJ9fPl/60Ptoelv7UgZ9spgIegnnaicH1HPREiMrkUPsUMSfL9mHSrsSgMzHQ090uoBolqHtIf79Bkr0PvSYes4MztvU8810SPGaOybj5cNeIuLTwVyNARX8Yv3W2rSMXrYATUS2nNFr/VVMgpkzs35mp5TFpzAevyMfDjixjGbWTePvH2VfR8dI3e8We9GL820woZU9C+rJbJz6zgj6v0GpkanrMDCSoKg6nsIwTeW85EUGRMTLlJSPtXfNNOIzs2cP63ixsXgNCXQe4SzrmLo3IrStPy5Fv82plCMwNpkBaUyKVeCpZYznkGV/Xjo3DE9JLYxmUn7EsIloF4ia/BKEqY4vQgvTVvahK8Mp4DoKz2Wws4uSkqA2n98zkxdD0RMnxyDhe2QjXb5ModPC7Jck/eqVeRAmJS8heP8ik830yTho242MYUbxAsv2sq6us1kNe/N1EN5Dzl+nfGEm0k6XHcjfLZwB9YgAR68E54z+by5rEkYVInkfASCzEOTqBPLb2/GcGyK0HgUbjmOGJj97Ol66ScOvWMD+1Md2swHdiSS9RND6Jov1J/BsP8D7uBeh1vNzUbvymdXxIj/BUH2y/UDirfKW/Dy4k3EEFUmIrbGT07YvNT3rGrqqlrGOseGdNbg8/FEEeJEpYoTZNPMejH0aBFWvRnCUl+AfCQckvRiCh1ocZe61l9/vg3xYhRivmZGFLSQym3iZhrOWiJMVHeBwPAr1l5d9urFi8N8iKUschLeYv3sI7SkVbPMFB28WUaO9wJ8gLKVkv0rKUAoi0MjopCjAm/l86ythwUOTcmLbUE2EpEw+0ljUNWeTxviVhTEiFEillzfP3jve0huvLStGzGyBwjACgX8XoTISy4iAHufnx5Og6z6naym63L33Mo1tnSNwPvM/qc5A3k3qTuoyJ5YIOnqFdd91Kn2YqqHCVHCHs/8CCER4msLS47yRz7WtQlacszyLqfkfACCYppW/1xSqNJlPsk5ONbKWa5/bWHuq2UP1Gkyp0Xn2SMSyyqe+xgjlZ6RrFqTzTf+d7SVRkJiOwzrrqdrmM4QShO81PfdQAQZqEzHFl5HrRpUGqbBOAGfsJzZaFSAxBZlyfz5DOZm+MlUmwCJvur/CGruH1rlsq7Fmb7N829uoMbHWgXgBOXPClJ69U6T8rDXIzC38zOk81h+H0yawi9SX0eAG1nv0o1fAAsToxW8OhHWqed9l0fMYjH/loI4YkNZ/kRo+Hmq7gQaOywHtJ3eeC0Anz+gR5Mja2CA8dF+nPNVHedXBaUjH/uViLTRQKiLBIacx3i9/ylnimf5OMXpI9ZWRe3uyJVh4k4i0J+llsyz+0fuXylGQfT9ZxlC4TQpQIiF6/SAhM04x6c4bMkf3VUgELHbG8erLvcvQE/Pb+nNTvUYKImotmWj4NK6ZdDT57opkQcpx7xK+HEReqwNkuZv11km1g8ABGENBD5tGTD6n+e9NTvqL3+nvlXczWuoGI5bpggT53VgyaoKlLImp4L364URbY4wHnsSGW1Cis4Wrk6od4RBvPm8lMpoJQ9IZB9u69A84K0Z7fXhmyy06Vx/j2DzLej/Geddo+aymIAU3en+eizaUDkTpiqg3anNbGnLfEmX0JUVdPtRLgwf+9yN6pCV7MQvp3z2raZCvjehmwU41MJa2zZlxakPa2iDYuq/777k18HEt40siH9G+soEZpOhovYJTdAK9Y9uQP//hMBk+zottfZLjCB6V4OEJZL0euqc6n+E0nlMYr09wsiTfd1iBkfoKdEZHqDpbf8mgA869IxfPcm/KknchJkJ50BkT52Ab4FI+K6/AVGhUDSziy8i0CO1iZvS8kgNxTWUL0HUdzRLaHqTO/IEMjZkTLzEV0pqmwrb8TETutLWq6FtBezqCY3FUpibxxsffmTCX1GBykFBKYUv+77vwprNz4oR/ryIF9DmemQPWnyb0f4WFsTAvInQuysGctH2DpocTUAi1HYK9EgQcrznGjT4JGswUYFuBNxx8QS9OZZGaKvYsHABtXdFitcl72yP6oaBNH1pXk0nKGo0Dt7VD0ggKLJhQJmsQK2shH1pz5DXp2JhTGEDvVwWkB/U7CvPTvYn8xyquhRxEvbj7wvSZdGFznR1r7kxOSoEh/Tgkop69fF696dxGmCoaNlpqMiOuEqR7ja6tTU8BRGXKRY/blKrC62G4CwXQhI0RFKYBVuitaXiJcLV3thVGSuSenp6RtOCJbShCo8i3OUR9SdVu4jk0zoc5SLvY+DU6HRjc6bR77LCWyB+Vk0ppO/d0Gd9hL6RXbzwwa9ZVL6eGhPcsvN40VFkEfwveorMcj6OIVbR693mm7A6pqidQBI25B5X7HxnOBS9Wo2v/4Fs8r1H0c0S9b/EM7ViTzzj0zqZtACJawX6bfRZ1t5E1s5+yCyw1b/A8k226t72ImmoFIn1rvHq3evrOcO1KKv5W9t7+s5upVS0hWhyG0OfEux1Inft7lOtEjGoXarQazprU05JzlKoAPOCmrp2soSI0whXoIyIRFspwuD/n7wOSkLY16d1rCxmEje93SeHI/mu4VTbK8BTW+Ukchs+pLWt0KxU6FdUnEzADB2cfSvgb5C8twnIlAJfO1FIX4ihdw/uMMjrgFL7EOl2H8RUdOpNeZVOl21kTU6GSpjsIwchnLgc4G/c+uFQmBjaAM6hcKDozn4Humw8G3EAHItnc2QDcsF4VkRdbIcgWRo9x7q5HnoyUgqFBwahyRRJrbGdi9DJRttERMELagFJxNOKV3NPPEDk888XR4DjoNP1LPljWyt7QP1g/2ZROcq6MLNoXTRtQo6ZJuxBRO5vZoyIIpCJnexY1sKs46yWJjvOeOR3NEkiTBgeL7xlIyUBDrJNhG8ztRDfxsBANnBGUTo6yN+R70qz814jHEojODiRSoe9Ruf89A2MR0Q3uoZGYkbmsOxPRW0Ym1uGNYjy7F7uMaNaxjqNYc9tHhrDfqXgOuZ0P4Nh4rkWMmn723PbBQRO48xnvGYOOiC/bW6zvaly7I9+Bv53nPsZ9TkJubuX+BOStIUg5xFq5xtY/Z7AfEuXXIPOTlp9Jw2rgoIPm9+l06tAsITtSHP2rD9UD45WHDJM/N6M4Q4cgKfsV7of9uorvkwgiJ+83ffsmWbIcEEd4ViWN6IdzewfyoU2wB1b70J0zF12SNZCR+D1GoPFlIPQWZ9bJWabP70UPeJ40rAIsx3BunSdr5HhILz0EBFEou0lf6FCBKgQi1qOdv2zN1XqoOlnHwpnXooNtCdqLcKUOPeJgAtgHs6f70He/8FrPknsvd8Aw5GEre25/+vYTGaInk9ie7DM/gJyqUwfwGi9tjTJh0KQ8WN60hWsb7zdSfRKb9/NhuBoI6Ky7GiHfiePlnOUnCa4+JyMkB8EYZHsYDnrKK8FD743G4I+LCZw38RmgBRGTEh18IqoUAatLdNkRI9EpyVMowGJ2og7rYZbE/3lSCPLD6klp+TcS3glhtxn8KMq1PAv9K8r/K7w4H9CU7GCE2RqFmWO9RP9ik7aDxPUq7d3MBEL4uBQzKPi3IIs3tH+N+pbDmeuwmcGx9gNQMLXwMo7xV5GpboKXtTWNxhcs0NWkqTw8vwpc4E95NtyNdqqKdVcj5tpsqgAMaSKN3OJL4oNLOeTXYghE2EmA8R3GRHSl32TNeRCHTNJvPfNewMdLU6+Uyq0QSs96k2PwVAK+1146a8Ze3TE6/qw0PcEtSRHZ5C18vQVRU4heucwK2IhtXXYnQiInqfVt1+0OjJ0pRyPqiQipJA4+tDVhOX3zoJSa0yc2mHqPAmaa80feNwrF+xRRhpHUr3thUgEwZprXiLM69/ABaa8+GIb+7JOzITXiAq6m8Jl+hfSRXUnVyuz0EN6pa2opwHXbwOfLsPOuDDDsh7WPjzE4lirC4dOtZvNu46BOROauQx7sFe2FArMWdA4ZKoTMOhzCFXBcoGQR7/PaNzDaOiuWMUZhNEQZumcCaDJhvE6Qo5MO1EEMGljTwX6lnyOCUXF5gT7RcXyWsylFv/qzqsjro9y7oKDc9O2Z7pX9x0jCkW6fSx7AAc9O9J0Ox9M+U1PpGvapRLymUX2t+9Qvaa5nFsLuYtlo5yqe5W/EqIMAJAbJi1E1LSY441ocNftGBW5tq503IO3b46VLW3oVvMKvVrsq6jn/1+iTH5hOw3O88sgVjJ47GVUBuNQUx0Cikq5EAKnZd5VJf/4u0tdWrK8O0k5Fi0xrftZWgnueryjnSGP9J4b1T7NLvO8n/tt3PfV/egU3VssJKvR4SBvKcKOaEkQniYa0i5ZeHNdnRCARiGxaGZGBEShh28VsT1oEd/BJ9ig/fRO5dtDvvj5j6C/2OKdjDU3DSawiw5yUo0ZO8rp+z4b4cykNJaEfwT18jwJuSvoxPTLzOlkZa/CWi9Igk1NQ7rJBqbtWEenssJ6MbjKK9JxdzMCKwjfdKC/7IWrFk3BCDOUeJ5IZzNmRfMB9MnLTsHoUR3KGBAuaiYsvz67pXFO59rUbAWeFskt8wG3ItZOIBNeNoOc5XLxVp8L3mNHZzrN8bZ8pOtXA4dlraM3jHMfRp+xQ27i/1aCnQ9mK82ud3JGLwbDGgWZiPBDqrl+yHyX4/JycVweqVCdDuJn32KZnEHMbumkghsLz3A8gkE7vKe7RgMSe+DkYGbNOdoXYg7oc2XSohGewO3pMZqwRghdD/xMDR3C2Pwf4ZWfGMgFe3JdpcPf2K3SWJb+AfGJvjIZr0MZVCrDcTlJpDlPphnNuynw+9Jd2Hazl7zoenv+uzrS9PlvQ4xJkGI2/AopcAF97wJ3fo/eHcy8CR0Xsf4/eug9blHzfjdB9BoFiPrM82WZ6ZMzSUWjHfn+ALHyzN1U0Bj1e2mCPywzDWD77EfSyBv/M+RMhiIqj41gGEkQF2ieo4THVljwl87ek8Be/+DZqO/1Jj4QJGi4WQt2PfwtuMUszg58tTOq7Mmy3CK3C/ICNPMCDmBTuzw3vINWVmQ2ZTEpkYeVcISJVWPRQXZw8fN6v/D4L96bhucOIEwEWoKBHbDpGqkVrsid5j/VdvRK9l9cQeNtPrIFZWyrOYXPxBUL8l+gnpgeE1Tu95QcWsC7KfriDlfEk87MhKtJ0qUndcA/WA+1tMvp0c2riVUqG4EQMlcyLTpfgsIk0W85/zyMwnrOrUAa3YhA9dGcoUvbCW5tJ31Uq/v08h1HUmt65NT1rjfbqBoci6TK60uj1IJUkR2Z9Nl0kqxHUNl1J9mEqRuUljOr1fJfrZw+fRsU5kd/jPNyEYB9x4KaHjcNYn3W+CwE/xcFxlmceNt01VDAs5uuYdLRFBmFxXQvy7JULkqrC0y2HkliOYve+WwA60+Ex2pXn2f02LWu0IsDLGqUyZYpwWZLgadBScfb8WT0Ox6Ok8zyYthC9itEQPW5JQACDvbzXQCogMNJZlC+wt9aEVCQaRyd+2PIkslt0eF/kQ85TeY4Vxgk8ywQOYncUvgbeaSJmLqyraOicXCKloU6E96xHbTrQjEkRFJA9y7JMqQCewgkRQCHIQQYgp4j8ngS0WMbf25Iydv1uZ3SXAJgyfI8I7S+R6wQOq3y13tt6IqpfMRKDkd2YRCBuxzB9rszYAuTaDQCd+CzGfhmOmin7USikXXyOaMhBKECdHWt6khd0q1YoemUxdG0AuT9fui+qWATQHlGiRs9UcM2keb3WEVVGyonR0tV8T7cS9I6yRoKabsep+Zi1rCmwiz1618Z71trI6VL2dAUo4pnQHL5E688U0NCTqUFp0Mq6rihHp/XYQjKOn/sMZkykkutIhkEGrNzyfuOsjOEz7G/emyV7dGsqUNhXQQ3JHgzmfBgFLaGk9AzOhmm/pdsPhXv+2loi+7puJwAzvstSjbrrLYyq0Vhj+qo9S5Y7dLJcZ/dSB1adZu2vHQZSZ+p19v62JML85DrOv1sHNSumnOjIO6fYf2sYZhpRss/qpB9wdDZjyDSIjs8zWxLoGTmHdUgH18KYDeRsKnPiMdQ/P3EOBsHu9il7aufBGe7vF3TVC8jhIM5jep5HI+G5f27NIVJ9TJxC5lazVmJAfDapL8VCCJjznHVDHpzFKirf7E8LzonD2bdbk05KnVu/9/2ObXQQhwZa4OF76LuZVfMEQ2Ib3RaMkJzggsPakXkS++Hax16o85WNJO3RVrYcDG/kaDq9N+ftI5wBZ2QHQXZqGc+xl2fouel4NA47sYGI9Q0M7mgxKTyzmAzP9UCeXafOzMdIAHtmMDyT1jUlgNFmhIid++6Cnj/H704gJwYsJQFU6sx9AueAlKhbkMeFOAN2gYj/kU1Ove3Q97rSzLIfOkfxpbM1k1TyLM65zSBvYT/e+ZZ+V/bK9XUEokY5H69rjY6qQVatA98bGPPILHUjkHiRezIbYNdCyivBFNJGNkci8IWkA47zgb1I16Yclu4sV/9YM7hnwd6osCknU1B8ov2Tx3lg8+O2VtiiYt1Px0kjkwfk4xcosrIIp4JhHUV0cb8G+cImluazNII6XXt5ysoYCIdfl8iViEQdDjhoLYZQQnyHCF/PAmmQjXr2c9BUCvLKTsCrMcpYSHQom801gCp+wxP/nT96Q9oZD5jR89vy2nJP+Xju/EQLy1Cgou7LIwQeHKn6Ls+kAUkd3cJrFAyZmxRM+04Vzi6sk7R380S4ch+2DK1keMKbHCyRxWMQQIEGKhrJHay5BCYcBEEhooMigH1cAw+hFHF6QdYMTWN6hZQRgteCGZHtWBNTaEeTWhPGQ89mVkBD6eShX1AwryKwplgqYQwdHmDkM9bxUbxG1LUUktYuFb67eG696Boop2YIvPDydzgopl9GYgSWck9O9zEdqtHRuJpi7YSz8QM3/ygCK7BF2Ptb1Aj73JotPJdRn2esOwddxJ8tUM/jbJnGNhXkUHg3QkM9Da9QI2CvZhiOzi8sDRhFmC3RwEt6IT2mazITZ03Et0pI42e92laabchNe2pGjyBjjrBTsWv4v2BfL+WAXIvcvW3rEfesl68XrXG1hqyHq9E1fWoPskxCpfNg3LgHUZrZ+I4bkbkHyAiIHBV84gOqZD4FkOTeaexf5B6t58/hvhoTYc1BHkfRkmOq/SfOxGz+3YRDaSsIKvnvs+hsTCfqCJLrxzpK62it2oEUptc24PSNQ64GYXQlWaiDTAm4sOVpPI6UA+LrlL8iGjVnZ7R566GoELQ8S4nyPyN1UZwzYEnCnsM17J1UhdbT5C72PIk8Ho9B1IO3zWRFuWxhkoptIPIzb/JZsSBvwPYkiUWNDw5FCypkg9QiXZgNW5yaVhfagOT/vQ8lLX+xNIk6V2VwlgW/OUDgHtaxITVF8QiO3+uPYW/50Ylod+o00a3I5a4DEQO+GazBHjxB2agK96nzZXpVPVJO6jqihuJkivJb80KenuCs2pKk8r0bZ28Iis9B2Y0wbpZUngJMOQ0sggbjG6J1wYS1yDgZKV1ojrUbYmvR86T3z2OY34Sj1taxiZz9AnxGJs6AzvXrOLQCtYyKBBfZGtgTBV6WrMHbrEMh7sma6TXcu61PolSfM82KzIiKvgY5FnjW5SaMNeusXL+L4Z2OE2FWrxifMxSDNAEdM579do5sPr47NADgXD+Gg5MTPdCZ7xxJkFKU9jLP+Y+2IyKLdijsZm8E/ni9Y+sJWcZXMWQ9MMgykgn6K8T+aiTtabUfdBP3XGb+3mgCmALPVOgW4TCLCpaG1DWV/1fQlu1Blp2cgWtL3w700A9ku6zVSZcrMNIodzJn8VGccyPJtmRKzM51Q4/OQW8K/JTpahw6QNtxPWUeAaH33Jo4p1U+aycMzeZ8jOU8XMa+n2qcP2BNulEvFh8j7uYGfv4NuuMBbIp6X8fTss6XOI1tsAVmnMx8XkU2SIdL0FLycpxr5DxbA4yMrOtq9tWo2bKM+sqSjkPYBYap0wUxmeFUrsSNWJ8fihMgzuR/GFgnHgjmGEoxPhXhgtyRMWViyhfr6RhB7eIGRXza+/ccTfIB5sal12Et1M8zpdAL6/4c1t3P1AuSau1FlOA3gBeSs5QYBZr73oQRHc8hKUXOXI9PJaj32Jr3OM9UwEg5lKFe9cN4iToBNo9bayiP4rSALoPTUbxPBx8LxLLmoVekR2bUoHG7fxGtBEaKLKYRohNUHoPW0ALxFc6dxdjLNOWcP9M8dSGJToPC8vmNrAQJvMjiG/XIAjMKA+Sw7Xakw+shND63ly02Np27mdlZtwJQy9UhpT7VyICDMopo3zSLXrORifdn3coeOkn75fT1shWlLZHdWe7XdNmLCDfseeEQ6GGuRxhFpVr37c+Bq8az50iXELXhUEmm33kDH4JwSMCxE+XZ2tFSpM/cJ7MMN/FMsuRsWof36SHmM6uTJrdPbRJGRQaiwkSTpiZFIm/n58e5f9OPDmqog3KrLil5UirKCNuI3h63owiTHq99ksrA1QihYAJ7k0Xo6UB4SQwgX+trKk5qoNbjmlCnN615GM9IQgsjfIdQxJdr554YacgQpiG/E5nx+oDvT81hKmEDPwddxaiT4V4LsJI1SWfAaFkjeg+1FgdFuOa2OCg7zZLADbaAFOO+A5hK46iQG1nznMt5HaJBOYQaJM7NnbD3qIj6f30k6kFUnYHC5tZ9kI0jR3fwjBp9QSBeguM05mU4vBv2UxfjfuczBhByo2gBf3Q2CyPz1/DcDzCcforAPPa5DJFyiSSkouUWleo5KKouyZguSp0vSzRj3/lo2YrdEDbkiob8cYZsBKjUq5hkxWuLosg83z6CkXV1DFklFPpgPk8HTSMu6brTekIW4nyqqDTPXvczwE08+iMYVn/eB97iZqB/pf000ncyiunOlTxfR0oKVVZAeGI0w3PkRgb7Qodoe9ASouDV3M+Bk5Dns86fpcsWdd/CRB7pWS0P8DMNmMxdZpRUtB/R5+v0rpKcVcGH32KcHsBRvRnDYvtV3/Unowacu4etB6MQHVwy/dcjAaTiZd3WuqQkLAf4mWIqJaAGK0RoXCK9jSrXST5gutSMzIeHwhm5kShpCo6SAJhvMyXWBEUFO8xbDu2P7YlEJ31sOpdLQGTabfRGcr+aONtC+hOJvkgqW+fwiUKQN2AYlBMjJe/zXzmQYXST+/kgZ0+H7kr0Zj6CE1tb0vIMti2qd20LMmq3Dnx1fnqM0S8zOc8hTYoMydVsZiHvxF10X6QL58O5s7+wVnmR4Uqcm8QBAIlTbkYQwBSmpFGCftJyBFE60dIB2tN5Nc7bJIy/YMKOnKGW6FKNq5e2QGT8xB9hY2Lvg1DxPh2OAOB07dlWgy2d8K5kguY9mjtku5w4YwbRs2fmaBEy7NQwAVaeSf+oyxuiF69GtrpgFxoAYlvO6xqhA6x1p+L8baCd7g/OngNcpIV0DdT9Q3B0XF9rwTWZelYCu1GZroe7wBIIlFSPxZeZj5XIpBmy3azNg4VgkmNPn+H7tnPe87IGC50/ToBhsCQwsiO2Zj7lBsd/+udiV4I0cXrctUi5HcNTdfByliTn2tDaXqXn8KSNMg/hGkzmAScAcTZys8ZUH2/EiG5doP9icVksQS62f9RgFJeLnZnXCb+egYfg3EzBP6YHRODGl+mcAAriAa0rniZC8ns1xkYStvUUxFMRfODUGDdNdhY3aS3v+4GFOM/mlsRY2PfoZQuJf1TSzm01OmzMYnfHYIznOVbJScnPXODcLK4yMob2HA+6Ubjcyf4uVy7SPLINIZwfIWizBYdQE8iCgFrzbYrCHIABL0M0ap+sKQtTLvavWU+xR3gS75nHd+khhSGliN/LOB/y8GbHyKj4BEEYUZn2iRvffY7Qr8XP3HSFW890D05Ob5SCLDF+mlMcHuF1GpD5PJt0fAI8KvC8rlV5lMF0DLt9jTNJywvweYY079fcv2hWCQAGYRDmoiTkKd11kFo7gJvhHEzBUnrQpsYS+T9RshhBqfOMbE2LaSS8F68uRNrD8DDvxMA6Yspo4Uv2cSWCKYr0a/bTwe/et0MgjATEAHRElo6jE8+ilfQQ5ftVibXmQH1OnSkQaVs8THbpmRrxCs55lTVy+IBp9g9Zo1UC1PDeqhA5NeIQjIPxSQ9ZBeR/TcdadrDFpzYOjWkeZdDBC4OIOvTQn0Qp9qJHUd5Z0+mPoXBNvR9jz6aQThuKkZSYQ2X9BGttb6IyqTUWZCcFm36t1IUZcES3UgeyHKBSHYhTe5zHkZy9DIffynt7nsH1eoKzs4VzYNopP59fGSdPwoWrNVaA+NZzDzoV2iSR5TJmDSLiSnMsTbR20+5oxhF6gzdhCIqScsfB2SKXKsheT4aTfarxHc5Wljil1YbjocVL5aZj4yzjRkQA9y87FP3F/d1XjAHmwSmEpxWFaG091IJpvanFvt1IFGvkOp3aau/1jvejlYv9M/09hv5XAWTtqduuJAIONyw4EJDW9iMMOyCV/jnpPce9eUllqTK/H9mV+nKmk4vYpLfRKeIwlEGxBKZVDQ5eRmlnQ2fl5Ex9y75PBpGsP29mxjKSZYkPUJ4HcdKso5cnujMjVJqxdm9grHSwPZ9mv3SoJIXvwGfbDvcdqVydAo3sCIyaw8Ll7dVBVM+ZQRM5n5NDO1f6Rs6f87Ktk45GAa9G1tNxz9LQZuU1ZmqMVnXY7JXVCHyDHGRnkXVeLbVJ8G9P6tfyavM9Cx7LEz2CTjMi1jCZaVjtODteV5k9E2fwcpIeNSAZwXcqi+qRGTjwvZA/s3OH0J83ckYncD5EIL+OHplM5HiYn5vaVh5/BLlv76jpdzM6Gr6XcBoNOAT8tGE93+LzpHScxDM6ZlTdJB/4C5S8zJJYTrCee56b6IwsyyanI6zDrTfTgtS/+JG66BCdHnErZoLWoQMWg515F0dBXIzTygojZ5LvmHEcyVnbik1ogvMxVDlin/aja69kHdITuAywTZIyi2xgzQmwnIZjhqsGa9+KZ+jNeX8H4NhQ7rsJjtNz4HXkajBIu5WAS4DaBwRUhbExD1G6Ej90iIjBHl+xBHPJIqlXNLA6MbZa3cmZtUw5B0Przy50JdgWUwhv6dgVcHUSXn90BPo4HswCvrULDaz/fhplLAjsHIIqH6tIqkUciroI7fV4P7vwJpzsITuKob9phLIQ+0suP4kIbyzW3/qpkG/5Ww2v40tQjsrsMT5LQIvNvJMQPtO6sm/okXhZZzW9JHWaHtoolL9K1TTuIb5HRJ7TNuazGHqd9qZ5WR8xNdBz3aGoPoahJD8X5FOfVEtuns8Urd6OqQXnyyqg1pxcMtM+czjkekJ1UTqyJD2E97oeIa9DukmknLntq7iHe9jsswhiCxT086Aon0epB85QFLvevZteBmEeQpRpXdlnUXBDLRYh2se6PohA6Ni8C6G7nyFowJSGgmDxXfCL6fObUCAnJPeA89hI1jqAMPU1KPDv+bmp+i/5Y73Bg/kBh8RosR7Cp5EUAdqTQ9YIwgQjRFOtjqr6F69fIQgDIZMU+z2ety4KxxF0tmMVQqk5yaUSv58JY48k7qaQh7FW9iX3wHDeSKqnPkItK5HGwlSk9bTZRC+zSBnVpC/XWqVsTXPY39X0HgtE+l0e44AGBbCFQVDp5RG5yd5ITLA9zf80sAq9sm36vyb7oWKZzGH8EkNn9HQVUbKHeIEHnNdIj2cZ4RMQ4ypJMxp64aJB24MUfo41LIoS1HgtQL4LYIxUIln57iHIm9NyXsfjV6asP5naklrNmozTnTriaetsmQH+Q9ABh9S6t5GKvx9H65CX6Sg5ua2hep72hTFeIJjJ1ogeF+lryUGvfBB1oX382uHcFLZANUIBiTxqCLw3SQw0AvKmrtnP6zIRiac/G/264c9oxtHsUZuSuaLnNnpW0wY6xOIYTiPGWRjqTJwxR86V416cL/s8IBEBf9PsGdXjVGY+OxrAZoxuDbU8L+fHXsZ+O7T9RtbAIQG5WM/Gjl2EKlG2JtPm4xnirrPjVBmzUXIX22JxO0b5Zxy3qy+hdxXk81wmB1VD6QmiMWoVDGBbhFR9yopgpq+ti7EmV5MyeIXMyXzS5sMok3zO8+uMOcXnMDJ0G9GMIBWdgD1/novW8HuN2njAkE+h4B2deRcy8R0OTKjT8R6zLypPa88iqFWsfQHV3QbAUDrSB9ED+gbqN7Mv8lIbudubrhx9gZNQib30vZtFKCP3goFE/RpV+XltOEMad423hla5lZJRPgFX1aye+JJWAGfETEgNaS/27aL++V7l4Tkyd2+h0L1vAT86D/bAS6epg1aZfVHZW3N8CAPcAn3X1JGbrE2HG7IGTMoYOXs5U35fCc6l+sG2RevFlgpN43+BHtEx64rTq97QkZU4gWAxyGtd5O1NAoLm6FD1ZQOesxVroZ4yAvYybV4T4+rsmt44qe/wXfNITx9FpxXEZug8e5neXs55LDxnX8hUCXidiUM1lf01IKmDs7mA+8uO/nuGqVyCxrYgU9VxvH/hsyy/7WMPP2ZNauDYeR509QXLPcS83Wrcq21klXEGzc7JtfAUwZOBzmqQ/3ZkfM7zVmJtq7AGu8lvO55UAh3BnTqeb4CzsN7+Gc7fMT6jr/SdPGsm1tBsl/rHoCApIfK3bUt4B6L3PaGNA4QdCvR1Pkiv3khgIi0gtfAYXpZUGxaU7iiPRwtmCodKBeMGKOg2d/dEGCVsFtKuwAkwGg8ZszW6xzksegRuVnxJsB9fero22TdE2O6mdaUhCzcDT1DqN1NoMYm+aZJ3UD62RJhOtQZYHS/iFZT6kO9ORq1Qjm62wpqSy9Po2pSu6ZQq9O8e5IUT7s8dRvM1JWXaBIOgseuHV6vHUpFoREHLyoHYhFBsMI+PgN+IwnN0ktMY3ISuCJk9jk9LJIGhEUTgDXSQ1B8lVZFNNXW4mZ83pQ6zbofKF0Qnr3EyTTs8VyOh9/l3/5KJEb2RtlF3Vwypm+Z6SsWmYZQ4vSEOR0GUm6AnCSFW6AzxGt+Tk/utxO8lLxC5KcJTgoXReHgJSJ0N19YgHXElYcPDrKGGW5CFkeWXPHMr9snIVqWwi8OXjXvzAJrGrUKquByHqQKpFtPYaSftCi1XtwOAkxZQJSSdXHkUjJGzAKGZrFVRDq6N3j2oMT6SNCJLwyYTjKmucNjxYB8IwKnUTORJvM++rGkN7uEUB6mIg8r5mfVmnQkvHTMnySiLpqEWMDqsIWl424XK4sHrlHUkKyGTWCYUhOtjOnACBzULKQnT99YoBb0J8DJN5L7a02d0rgFtx/ufQoGZwTAddB9rZjTiJarUSzk3cpVcRKMoHVxfSdSRZRXXbaSe23Avn3NAK2DkmiLrps1Fb2fQTfdyD3mODtSqRErK6GR5pSl125EonD9QCIJr5N4thRMiK5ZlEQkv7Bl1JNhp1upyGuvbXEPp5PSx6LPNu6JBB4k0i+ejnYD9IkvVDiM4nbRrbZRxb6JaozrRvyK0n2VvzvK9ptCaFaXMwhQeGbRC2o/Pd66vbTW22zxYwMb/s1Gz9w9FkytlD8CvLdyfbSbS1TlVymN+jA8bAItUE5jJRJD34zs78mdvWvQBv/9lF7VRzo8gHElKAi+285c526mY8SqI0PUQkRwCYP5YLnmVDMDNYjzMskFwPB3jXJX9kSO8iZOoWDuH1+9jjWtjtHQyzSgFOkIU51ty9/JZnlEdtfoM3nAP7mS/rB8aWAjskQDG3XaXjF6N7rYdw9HCIfDSmL/Ld3+rk8jnzMIAdufeNHBmS/xjJD2A9iLv3RKBE1cs/SSfBuN92ddrX+olrOVT7LvzhM3oCQR0GtPd7Jm6zBGITtRSN8hoZh3aToExGOQxRGpmenTcZ4t6NesTRMy0f+oQBVfB6DZgrTyTp/g823rUyEZ9baUuxSg5pczLtLbXY0R+RiGpBMlx767Pc9iHujgOUhi6583WHIs2sA5OKBKMaEZkBnt/a066EWS241nO4CAZROgQe/7sMhX0NJCpTw7nMEOSFoegF7L9LGulLvgDB6sB4L2WyIkMdjJn6ZOuYr2aFbaskyGajZNlFN2UoEGaSktBfxD1ShZia5EGVNs2BVu2jM/Iypo56u6WpEDAsZHqgHNwIUgk4hQgL7OglvHm/HYWZP3ZaBnrtw5aS2vbl+MomlUx1X6hK6E/ClsLrVcmoKI23oJeXFWERqSiBMf34YW4R5MJ37XaNbD49TBKKt4ElMnLLI6mQYUdz4v1przM9bdGYT9D/l498gCb5WYkvx9RrxbLjSplEvkB5Shl2BSim8UYWqMSU7U/spiluC9TbP7bXLgfZKTtWLweeP8awB5JNdDkDyxCzWbuQxwcDc2TKBsNmQCXuXzH1Ry8+DKaUkluo5azib+nIt33MBGbae2fQezZUF7k+sTXGxkL2nmK/s6vUJ6tMPYeQgV+HBuwYBUHkZS0h83PnHsksVn9S7ys6zjkpjYrE9GVYE1sIvfSsPnH2qE13I38WS3xBQfHQ+lhcDC3xuZq9s3oyKyk6FCHtVugl2zdUXx63JWcrsMlVZlGSw/W+mw5iTBQfrI0iXK9ke+0NUPFXwzF8hGGewJO1tesex0M5Vu3ZY2WkbJqxbMmplBQ8LzXlLUoZ4dmCxS6MnOGRK8PY/oLr3uK9XJqzKHTCCr3aa+kDDTyFAtsepXXlWcfWnOgD3A/9iGr2Mbz3U4S0nv2/6w/28c8n5qQ++9hCHVfjEbglWUQginPMBuUWmYW1lklK2hui+MDcTZKOjmGNz0BGvNOnAJHcul98rZo8+N5QhRk87r4Ag3YBhwNgSGOCHM6zYMYRyfnpLwEBS1GmQliSpzzSuYCBWH55Q6+cxFO2iGU6ufIYC4O9W72thPPWxojEkbFsVe/sY+FeHblwMhHsE83FM7TtCJpUKYRgUndZjSo4hRluYa9Di09rGNIefG887ccBzWdN3qpylVR5zPboi9+OBCd4wHPQY84eHcUXY7i68Kg9k8w1K5huyLpg1N6BsXyDDVWjZgpY9fuEEZ6E0ry/XuzRE8y97UwhL8f8Z2z2b+XiV7kfu4MiYREFe0xWAIhr+G7XDvTtnIaz/kpsdVkGcMALCWY5v71MEHVvn1EHqeiK+68IpzDZihc17k2+9WCbEJP0vQzyGJ0Iur8uEruEAHfQGr3Z1mk+DyV82gyARqaZoWzRU9RY7U2LcmNRtmWICNG20usd29DuV/u3GciTQluHBTufS5Grm7hO9cdx0DzO1nUFFTr6vXIKL0FKc5R1kZWOFOwGjyJE7oht6VwnDy7gzAO7dA/PQg0JvKa+dtIKaIrStGr7Tp4RgQwadwkp1BGzOyIlrb7QafE9Ot267gSOfD9DYrzmHynLUXqDvVma7AYGhEpVyW2X5v6dJg+Zr12FE6jxPrKs32s6kVBkeoP9ZtzlLPxb4ed98B4SLLT0u9nrTxHZhYld7DFLDausZwbmQ8kajuK7qmMLu+L7NrXr77XmW5HTdkz7fm7NguyxT3rJClDrtsP6BRH5RmxZ+Zn9dlrHbrcOFN7MZ6ej10184bJVd04N5ZKhuOkmFEsg4E8wToa6XegbFgHwynIrDz2Rn3mWMk9ZneQCRH+l6GPHXE5hyzqfqIz27S0E1/g9N6LbdEhzcd6N8GBtDwlVsSrjhgFPlMApaU+MyhxScrAxhZJW/bSssZG7wZUThsTs5EcG5JcNySIIPaUlUOQPGwfEsWeNOVr9IBgleGhjNhs0u2ARz4XhSGqtiBGp2IxKAIBc1izMlXilAEvU3uCluyP9WZ19qshBKL4nF+ot50yZ+1Qa1lsHsLjtA52GehHlXiY9oCR1guV2LsoUZReYD02yJxzWQ6EIX93NrxiiuHhphuM3uzJlU9XogidgfTsxVAW3X9ryBQ+Fbco10OsQV9SciKVpYUz3WPKLDNpCGu+TrOJL+vGemIat2d4/lWszQCE4nNSnhqYsmWIdiHBf5X6xDoEXjShAtl1bSKLlfVk19J673RSp/Fl9sAUuilI0+cbOBhG3CPZZGvgNqF35XCXpDa8itSGSGKjMJ0UgTIe1kPk6N4gO+E+NMJImTOREi0sHjcsaYXtG05hscHcn6/l2Wqwrh+xDm14nnwydvH9PdkXjbXe9gQYbGrzO1NTw4iqdnEArmatnsTxETltev8XQCh7EezhSQxXl+Gxih53/qZpLqPOOIGhErCtqjXRfeOkdFvMV2x6pgny9y0G08kp8spajzUKUUbspZPezNqsKUAvPdUXUHSO67oKA5o+IRG16jxHkeselP38zjaV+1BYMuXIKW06TryV+IG5OCk6AkY1jhSckAlybwxbE57/azIRykzKS1J4/1w5e2+oW1kOoM0zupOzoyOkwa6J7G3i86zPl0X5KD86gwJ6zNRMpSxSz7KFzmBqSEd4TltAdEKM6o+hBW0FUym7zzo4eak/qdTEEgzD6/YQP8h9Zub92TNBUVj5iqgXhc15G/eHlNkz5S+Phu04F/UAzFQXI1oW9LJK2MlEOr1mcbxULCNppyHbSwR6Phjj1igk58s+RvbC2t9SZGAjz7UI4+vZtgywjp+bXWpB3VvSEmvFTmGSbWw9cvwy92DauCivfWQaJAq8v3beVKH+6IALJzP9wBo72FwQnTe1i/0yraqOEVRoe4vPaUbJwMDh5QYDtos8HujtEtu5lNvZUhFi4J7h59N+YopPkuNvHTJuP2mB3hAB+gV/3uEsVEImpoA/0Gn7nXOUG31oGrUF2TodeR37TwS34Yx1ItPhd7rn0/gunfN+6I/JSTzeAwlQUrGWcgo3JorOnzkxOPB6ld/ZA+95n8c5dCRgYVtZ0Ltnzif2bMucZsSqrOi0Vef+TTlvRiasATtLNoCGfoPjmbKEpCWSgLhelg0cSqIhFBTk1LD5ONc3cK4cbl6S9bOHU7kwPa5DrwwvSsU4OO5NBirP6lYcDUdvbtwNI53dJDiZ7o1nz0sUvS0y1oblGtA4qWMELRlhS8hhJC4XgCh4gwZ/XwWdqPP9MDXQo4IwWd/PcV6ksDTzZsDwGTIzi73QjpgFUBbXg8fYSGQqyY3lsRk/Y8OSavtGgtuRBwmOxpbJHjKZ1oFHYwydlCZwVdS03SiedS/PjhHoB6zno3yOwdFwdHVyvIdlTy/LFer2Mez7QMqeovnLY7S1DfXJvhkMJr/g60tUuEYuKqLBKPrhbM5sFuRFDv9NeN/P4hm+TipMhiKh93ph43mdNRrHCn3Av3slMWMEBhEU1CIEuCIRSrvPj0a3SDxOSO8iVeRhpEFLHmWqKCxqG4nt47/yhJpWswamMqmJ8R+PYn8Sg72En/XDwynNBlhftEb5DJMjZHXyMn8vI8/11N6qER0UMkq0TYHHbIXAtOVZhmN4aiFYYnL0YEy9WEObzAIruAU4aHJZer9ViLg9CCq4jngrpmFt05CFSCdBWi/TzKYa1hIBuXYCEtRT0vnNYBNUkjIZWZ+zv25sdmrOtnMwEmkO73uHupzo6iF4iF7WW2xR8fOFtFddeSDaiDK7loMyKalPzZ7jkayJ472Myr7jOwda++MgVkIRPUEk9TpCcAt1cGuPzo01Tfoahsy5hzfyWdbDRRXbbyzQSj5lD/Ia0h/2gGloG9GykJ0DbspfUohPWN/X7f3iu3bxTOn5HOvMAs1+OXosuoE9mUm712YRpHyG10Q8xgwcLp0TnQAdEh0CSRpU5xKL1CiaKQjoaQEtvN5UocA0jctSDI8HaD2vtszgoW8DJuBWBNvSgnyvHt6hvE+vXg7gScyMlPChCL93YMMcWg9W2HvJe21H0cv3Mq0lCEUmLTMPHhaNuAZb/d6AjI6RQ0fSgRcjJ/d+dCx+4p6H0U4gS9DzRHvSZqqwrENpDPqgvM/zs5m81gNtPV7j6iVL1mtJ+++/vRdTrJXYNxlvXBOVhYZbJXYcnTIYZSVv63KeS6MiyYi1/KHIU4zSvzwXA90ho3iL9V7yDVmntDuiqiUvJQpFoSLHAkP6MbTdXthjGi4u/1d9ZeuUhtSfGz3aAjEHgMkkIhF7uYdzRjrgZNuKNfgn5BFAk+h8SysCrkQbtzQ65rOu575t+fgAg2uNzr7bP2B/Kc3+7Nl/InoVcgyzB5ZBRHl6Ls3npaYH+wbW5k1k2dmsC9lHndrXSdu/A7bhciJI07IC3WpgjNaii6wDikEYjE6ajyx2JLXpZB4dZRmd5Iz+rwvHC6OlkybS1+lfzms1XZve1jruJQ8R6UwUspGo32kJ4aQRPHrhbnmxk/Ak5clEhWlRpbIF221b0V8aP86q03mUOdHHRlSm/Dci/xMJAEzxFiPVWJpIzah7Bcass8A+1kl6TTN8yS9T6PaoX4ZB+xYH4CVeO5WgZiaZgnHc68fULnXkdVR1YM3Y9GW9JNuxFvstRuxeHP+5GBvbZswWWE/WyVB3OSTFLo3T3K86qOOPUHnynelZV4Me90fHXQOo1pV4w7N6Hlti//xCnIUS6M3aOOu9ieg1tIXRE87JNTNTksHrIpePIFMizXWq5H13oIpzfM3GlEKu1Su3YGzVv68wNk4UtVk20drKpmVGg7nWnM3+pvtjr51zex1yoeOg06w+qIDuq04W7kHAgrvYu43YKFn37IW3B1275jAGefXNFvjdF7o8gwJQH2XNLUfKWKce1enqgWPUBduV/Ap9sA+gBN5j00V9gsoPkewqkKafozBsDVjOQe6C4piHh5YLKLfRkbXDvRwswQ/WauPrNR7UysRADrnDyD/BWDhZQyYfQQ+mR0StxZceXwuQmls4JCIRjRyNOp3Lt4DDVJz2mXRC7KmBSV9lTeoA5M62FNzIxPgnEFih8A1RhIsolFv/C71m0v3hBX/He9bwHaXYRJlmlhGhv7kxTaAuC8TtSYOWvZ/iGKreCE9tDuAoPKCbeDZJzR9GCOeygPaH6hl3JmJ/hzRl/BymML1UyjejDGwrakQfpP9WKVvTfUIkNRtjW8uWatR++ZxhCI71bafs6GG6uZLTj2XtPJz9MaBGa7rapWnTEICkgAsdP83h0SM7AeXcOAT6jBqbZ1Y7ivrTis3kHnehFHMhBA+JGkVZhjYc/rzNfjqr9kNSM/Z66XkdZn2yc6BNd3bGsanAmkmycRffOxYFoxLTaOm1y6FbEY98N/fhzwZjcGvibDjz0jTQJhSAQ57DhZQ77LsThANmRe5D2B1w/RV77DxTn8+JMvKInuUWs5KS/BSjqfG01OAw7oeRGwMhBz8rs8tRWmVISRvBWGOxvt5tHbzDKCrR7ZKtm4Kryvsmcu/P8jwitk3zl8LpEJlrhiJmzfI29balOtSRiGf/vo9MqSw1ojHNpq/VKdPwasisp1ljNsVmhN4eB7Ap8nprqYQQ0UhWoNHZj/GXslAgm8Y1vvSI/WP9N76MquWifgoDrJK05hxPfdE5knHPdJqtRj1QFK9z7rom1QRTKob9qaEeLHkZbE482/cHQt204KW5SIdmjirkhtuVN+h0qJ+UDXWL0amTSAQaliMKb7H6KCQGjIkjerWv9WfWw1Y8kdfW3x0ssLgsqNwPj5DlgPUHx214SYhH2HtH5u2hLcepPlWp2wqAAkRM7c1ab+IfS0dGvSLl1T+Otnt99aFoEPUyJ8Wc455q0RJotsQUsMxlIvpFUL+Jg+YZE73vjNW+OCNO2TLzJdjnabAgjnn8g3mrTmVyP88npRT1JMRbVJcOkfdZejlGtqMA8mFd3me0jliK71vLHtoeI0o2LwZHdPnNKHLrpkY2yqt1SfskQ0oVQ1WKtq1dGLS6OD9v8HplSCMzl0jr+8PHQtp2DanMEeg6nW+jNGXKvnr7pS25qHOUj3gWq2fHP1V4dlnr1CX2496K7mhHtswshOthi+FkdKEOkpFf6F7gc4sie+c4v0aSyr/j4qw564A2F2DF5XxpI1OjRBH0TrK5Nww0SJxCxjFjKMfZIJOL0BfqnJzIf2CRZe02EGVa9y3NulejnatFkUzh3qQ8bU4AsJfP3ch9D6AEYtnvN877ZEBv1j9VRjp41TknD0tVaNDFflpT9tzl44zaH6/xFDk9xvGcvsEreIcETujTP9Ed0iRadhAoqeG0tc70eQsiblv8nM3cDCzJ8O9PhzKZqW/PwMUu90YnzRnVdsE8hOxI1NSXvQ7TqVJcCYbCAbWHMFlMtq7RgXTHFWysBjaxbyt9KNR3xCDYwD/oFiYscKO+1tyzKLMYui7EW0CEjeYypoQB33z+UqHVvO7qRyiy470+S0rYS3CI7zECVsBEzIpg7oz3U4kH0FuSJccD1x8P/BsWmLMbyCc6oVh6E51Y7D7PRksSYNrQ6MgJJJKkp7GnjUOxhgVdQ/TbmOcN0xT4u2kp2yo+hS2mIgbRsUPSQJpG7kRNYSEbN6a8aNMomsRm6Cnb0zaZmq11r5SXqRojwM54MRJfuK7LymUMFF/S6T0GgEQlvgbhm0C02IV7EQFoQ7TKwNpK6OLhf6yvXclarz19OnjX9hDrLakwvsIrH8t92Zf5E8/iiL9PRclaG8TrP6rNQkoGycWM4FsHEXknr7Jj+l5BEct1bEpNnmfv+TgHsDNGVwEyGjMKOsV96GlbY1DJf4rx/JT63lCicjMF+1EA36FsHbrsvMnptsWw3I5pq41wP4KBNpqwLmLfcBhDBt3bLxgkFUlT5Gwv6TTRq7ag6KiQ8WSGrlNM0oaavAASh55bF/4AAFMXqAUFfyWgoDSGA4goKsKl6nxIh5ULBvHy4GsUVTSCyAQtWPfy8AhUMurVAUwJhtPrT35Qko5t+FlSgJc4U5RsRG+UmjKh46SDKmmJKXzbs6zZy4V6Dc9kLScMtWAN1XHuo1HM+7y2CL+XC7ohJYxZRBRG0l6iTEWhx1fykWrKyAhKBK2JpIxcdZSMquLL+/M1iZR6lwQn5GpoFR+vcVXU7l3251tYuVi7ezNnirIDrzwPcMVo2eeLn9f3K89xlKJC1OhaZxO8Mpy9857eIAvj2lhXHwvq8imU6eCfQK2jhMfisL5B/+vzZLFkbxp5W6bo0SQ8wChaen7PniXK/+fx0G5yNjfMR+ylbTDeh9kXFa0GztKR0ZWm0bS95yGTG4fe6MnriiE/FYh4BhjlYiAOcKbMWqx9JGeQB8sFlqmcsGMvteuhAZ6OYViAbLZHx1TDWatHtkaw3HGefSxn5zcUs3Ll8AZ1QmWAQQ7a9v1GVZYMNGbK90KNGb2yOqF+t90QrmV7HL2TfKdy7OX5eofnOcV/HQdpe90orIJ68Bm+/xzP5T1rrD3/v0qSI9iT2pXnQYCULS8OpFC+B5P16IlztZAAwGyJEaCjPM+zR28ANJqHPqyIQblTghHkTCOWke9qTF1frIP60me/HTn0T3yppzwLOzmnCciQTrjzmz+l/FWNjMBu9FlvHHiDCEsDDa/LTk/9oeD4B2MX/lDFYzNXMMbvj2NHok9xnvafOxgydpaiarF+I3CgHuBc+l2fo1/y4zBaGptGDXsWe6ADYPujTqu1UlPKGsYEPvcS1kVZVM7jy7kn53HgiiF77rWXrG3tsFMLAJ+Z3RSFLyhUMN9Z/iv6uSvneSr63jKk+tEz2gKHoBS6R71l/GK63kBEWbx8N7N+0etGrCusN/N+7eb/MLAqij/x9F2MYg4qT9bIr2GLiQBMD1+OlArAkPPWyO7GJOq6A/zbkWV6Px5uiZE3IpyzEDyH94rE1Igux5tZwk2txBMRGq2AGKm9RTRpmsZ01AoMgb2l39fNGz3GJmzC6xyy+RxMTrCCUHuUoFzBcE1tARHibaq6QsHMkVyu603F8tCD8Gr3WLPl8H1CylOiic+4H4VhH9/bCCEchZHWQ1tLzfBD3gu5TTQAgbXZ2wZoBdcNMxUtgObfzS90ULJ/vDTc2rtbZ+8JA5yNvN2w7Xjz1gEdUpyHe9fL/IV7lqnGtLSkDF6m0DUO9ohNxrN2KMBUou8ElGFeakKCXdwbW3GOcY/O/zRa1VAHUgcEXIOaE4G1x/RNplF44qV6U2idovM0TDdjMD6zcDZmcNDm4wRdzd41I/qa+DOMJbzO0YGma63/+f7L+bdRoGmVfYAT/r/m7gPu27mM//8XN7K3yKqMhlnRHmQlioYVKakkDaE0REUqUomMCFFGIrJJGdGQSkRL08zMlvV/Pc/7+tbV3a31+/0ej//56O6+Xdd3nOfnc3yO8T7ex3EMTUZI3xhXDA+nnDlo27SGDu3J/b1OfxjbDYpCfposXd2+MvLbJx+8ep6xRtpvHGSoMV7BkOrfNN6v6meAlr9epL5LBpZxNnILqee3rSfEwnOLQETWYPXx+DQtN7cO3VCkLqflgOpktGQGhrd9RJ+JqT2+hhZ0SCYTF+ahvCfoUGS8ecSjzVNkcj/abIrgv9GBPyGDsm75Kcr/RymU9c5rGlFfMEtrdaP88IQSeGZeNMfg87+YWl7xtdZ+iVADhvfzKVAREIM9vQtMe76IJ+98Vl2CkGY6u5AU26N/q68ydGGRFLCZqCJxZSgc5e9U6/PWdZcYODTf+Mmtg3LccZ3FR/fMKt9VXjZm77HPm3MwAivkMJ1SvlVf388H/aK9L8BBLkrRjEGeeN/kGFP8tBjJSqu+lvyYprNLeeQDa0RB+f0i5/F7yc/nYkbHZxot9fUaejy/lpM94v3d3x9medzopZdFPprjL4OjhzdhgskKfc5v8pzJDMeZs/uDVy845IoZebn/a3Mu7m7fz85QgTY1L5AuUVNOHKFa9xaN2hfQrDLDzyUjnAY1mOfmqJJpTj0+gUlUmntwjL+RsdwySPGMkJJLI/bRGwanGyTuw1/amhvhd1+GjUO8Sud7m3SK6FW0eU5RKXh1MkvYntIJv22fjOYEgz+5fVpp4amM++f22aYYTW7l9/jKre5oc41OVS5EvrCpsddBzoiU5lirdnhdqaRzk4c7tROtTFFjfKk9LOiLmmLxre6VvnswO7BcTXB0jLv01iL4zuR3cu60wx1f2LYi3Nsjat3Wv5W+Ibhire+eY35I37dseujL6STpD/c/VDLI/0y+WhvOmzURYDFcW4ZYvkMFQq8DYKl7vquzgnjp+Tj4IOFNSw/s1/M5Opi60BT25WuhiyDkF+es4dfM+pQGPuh/3C+PzIiqLz6wapjxhSwpBcaJkYr7Ux3OzOJ+Qbqa4TbbWa3x8fc1Qq/92zsHSB7YjOqfpuM4VGTmJ/0bkZfz64x+pvN6ULbr58mPfTcq1VSdydcUXT5mS2EgeVhw8zg1q2flTW8/OQ8Dvkzwz+vAYRCrHZzSDhjwrTsKGE9rwU9lrJfu7yMsQEZp/SI2ntxnI/5s1L9fmSfy0f79pMKUT2YAlWiIBDXQvzylAV4ex+cISCJHC/vJmGPbZDRX6jO/9LypXpZaLN001MO+Vp1jh8IhQ7Th4ZgXe3OK4OAEzM9f3SHTgvLDHQLJddG6IvMXLNyHtblao7m89nNFB3d18hijfzcEYbqasB9S+qcmfJo3wOyVqyDMLNB9gX3vz+h9PE/3dd2LJv5yAYg7h2XYFs5N+lprLp9zVIbvmQnCD4oUdbzaIGNtluRQJpKwLZwyseFgdfnKnfOi1g6SHIxeh0AfXsMcXh46IJLixGhhqPm4z9A6TvmFk3+5WsP+aP5gUML3+s4LXjH/MKLpAXTbXvfEDhXyjcN1UBHHcHB4IeOzOel82Ru3MWP3rRUbsoUyFs3ZL0pZKLeRa9cfdBOD5zsIIkuwmDo/5CfsT5/xm2TyuDxmDOH9Y2W/tRysKF8J15Jhx+8tx2Q4w1dTxPLmal3JCKafJg+M6JBD7jCDlWbsoeX4JxvX6e0lwg7EAxGN0X9C6wQSlid6UgpJl6Jn8bp7LkbS5+EYPC7ZvSon64T2arOcVhHJx7tHOXyfB3Y8tTZuhlFDcziLmqTLl3E4tNBEaplGVw3tFBkHRf5Qoi0uuWN0SbV8dCM+gkYdN/T3p354b5yABYdcGUjynLxs8yt3yHF73LILjZ6dnF/2q9tHH5q1XNcyC9R+cZZByeiCxEh/Iwfq8BTVNt0beV36Ca1Xz79/BKVjXjDn0B7OVp+eTtg8dvJcPfsCfc8BOUIixR0b9n5SgwQ4jAcVxa5bE/fHpWyXa48wfz/bz54784OjnyxYb/NA6st/X6qj3CGk5C3LzjIQY+5pc7k+xkCu0voYZs0p2Dyi5LeTn82SdfCfCEXDhqXTR9/NuTkqeFOHpYtzelbPYftESAP9gMkrQoYoXdP7TCmi1zhPSm9+VnQDBqbP6DhOy+sqQTNq7tBkkzJ1YaFCWDhZR+AHtPbIOxaETjkwJMjnjftNj/cQ+cd9rJXhED2BgF/Y2eaMci4mp87G76GT122g/ZSMqWjZPekmZgC8Zj8LdziUuxmfdlwwM8KUedjPTcZfWHpNGkUU/m09eQVSvf7n3du66Ygjc0ygjZwwf48vgw6w+H2HUkh6B4xvWIOmP2B5+WzR7zkg9+Vak/b9LigNoWAR/5YPraIiqE3dsBIupS3mZ7+zCU3z9JXb5GCb4vTl3m8ggOY4UFGVEAyqfPuB6Zlvdq/0OvTpNRk+898/ki3RwnFq1W3lNNkxCMTrsjXjvLif03NuCUn3x9BaKF2cAb4AmJnDOneBwZNycPL7h/Mnql251Ic0EPh7zg7Y5BQOouLtnbP1Ku1SBz8El9NRIFPe1i9+moGT/XFgV5m/MUF18dFK7mVh4GOBAt+6IR1IEEWQohQSv6+2aCBkgkNheZLdS2zf3e8PafHfXWT4myLE23vvqvKLUckPSmne2UEhFGANbK1NOzRTN3LqBqk7wiA+OrbjlFbh79s/9Smw3k7KyzSiDhHA9B1w2TtBAd3Lp7pPnt7yLdomF94y+kz5j2NzFl7/6B2D4CNTYG7yukVE37nxvoHYo2/xzR2El7aRyCT/7uLdvCWW7mvyftWlirSG2trWC3w4TMtJcV4vMu05bu07KXqH00OJUOdLAM0x9e9dg24c6CsSMPR9g+u/3IF+xQTM9N6ERIeU21ujSyb6N1M6jBDFrTQEMUaD+K93L6Bzygr7EFtY7tE8Wp1/tALDMhy8P5I2ccgeHUMu/ew9vU7j9OH3/e+iFPxFeecv6jtm5ZRkxAxX5+FxVLbrnofpFK3Br3v+A8Fa9WAG+7igAN/JsGxRdKGEAsGNQZXrlIbgoX6wZ7y2dTLWEDtPWQx4/5DWTF9Rc1ufEYN67lzg/bv3H1yb9slg/bLvNDmJEvhTa3EQpmiGZLH2+zURUJ6e/IluXlUUel97rsGK6OOY1umDIRemzKjvnnyN2xp6PopYT+wf53jwVLGDleYg/xxaN5t3NinJzMlPJf9KK6A2r0mOePcXdf8Y8PK0PGmNTYYWmq3dz1ovzsAeOYMfLjWBUDbtfWhAgBOgNlfEMAxEaE8PSyH9KuPCo4aeaHEoh/6Z7gciYBg9JMT971cu0tauWi37pks9cbT/6ZXRXNM0qCkzj9795AVzVGcZfSTnABfizOA8MLwayScV7RjiPtOjs9b3usbqRdFeo7xo3fKzB9U96dc5E+pH526PTPFZOQ24TPd0VeusyYoIUP6VAjuttVCHvcxfa2Xa/e7Q6xd49nwhaPUZ7j3QDM+HoUnG58wxfsfQOWw0kHF27Iwzjpi5l+SQ6VC2cPsvVzi0L+2FWL0ccoNJXJyVD6SrwPdacjJAiEDLTaynbf/V7VOHAmjAgghlT/Z9WSml9lSDfU1vtGbFZn5i9eAiQwtqnTTZUeZ4WvJwZvpnh+7xi8Gxywe/YMO7p6lTnDS8qfRqgNhnHGTooBz6D08z6mwq7G4YRz2BsyDQxGV0/yqVdslNBRQZgR9nCDcoZ7z70+cajM/G1fe/Lz23X3LEofpAjsUnCnrAos7pXkGzGsNsWpOF9QqsVk6eDHo3YMM5ILP0mYEZapdv7fztExS+ffdqiIPKEt8/X2sN/ePELtLzKFM6h+7vPdukv8DLf+nfV2m60TnmjJit/arWbb0iTzlj05Hk58nonTnvr8gOQI7kNhk4Rl964I09H2SP9hCxY6vrq6yR0bwpi3l7D9LlKcn8Hd2fiB5aRqdPHhJPtYky18oZvShHa//uRzkYR+gXyeJi6aXNltZw5v56YheohHhCjDS+WaLfuZ+bk23n6LMTTv/9qjdaC6MSIcGct2mvKcLx5VMsX+/Gtk9xg1z3TbApRQpAn1+FuIg4CqvBQ4rSKTGQmSYKb47085OUG9httiIDPTvN8jOo9odBwOA5RsBNgh4cHEOnV2uTkJ9AXb+K+CO/QvEyspT6L9r8xRFsigLPiVmHRj6V9DP1Iqy7RICQoxEBwNgdQlGxAyqhrZE6KGD7IkjlF5qO/yRB+sTEVKAv5oEajq3t4Y+7l5NfNt9oowQQaeM/uTglOuG8cKFmaLZZykSMyFo16vmUDolIT5vI2fsOgwu2z7PXcm+/CYo4rxQT7u68Urmf6+6t3WKevDZcv+15jymaREDYvfwSSGKX9kA3JsO/CecyHZI9iwiVE22YwGgkrpvTecFf+rUiSCDaLJUiN1EGVKLRtkS9AzOMi3L6XR65NVtSH9QE98KM6Y95vbTPOJgiqf33Ra3l11srh4xyf3P3+0yebb9D0LkseXhGSmzz9n4ot5i47LHmCkoaXPaJ4lkqX8YINDW6EBBGiMHnoYvw72EQM06IautVv/uwAL7vwaxeaJ7sf/t33QSEuFVR4SwpZYrwkNbsee2/deG06UBzaTK8pXml7YcI3HzctyQfhweDMfLTXu4FGWKllKtlOKs1m3Gmxw3K+vwUy1NSGpAfOS7w6lYpZ/d1TuuM0ESeb+wzdLABS4P2faZVseRqHa/OCV2+JiuM8sWN9xoP2wBfepWoYaMcA6QmRsO6/bFmByLXdU65dbRixhYber8O+qt7RnK42Ik3D9+1ekZwTNywfS8dOpyVDmq03WXBiuf/ptaW5147mnO5hWIWT90rESoc96xKM27t7JODNyzbPRQNLcLw9rJ3IiV1ZhhXSU5M+bVTYvt0pvZp1KII4Pd/DJYuWhHBM54chVdHlFI7fuYswZjX3jnaZ+7Hj05avr7QfejB/X7zHEDozakZkPen/M/uvHqvPB2YDvnls52fDc0LhvK8YPZQt4dGN/T+J2s8MQGxrzuRz/Y85N0F/n15a6U+mxxytpVlyK/Jrb0/hAvCQ9fpKf7SWKdnFD3p2ENPOnPK3XYqsr9Bqiz9YlAGCJ6OXKlm+YsmsxrOCCiUMJ6UY+/5leUxItItdNcNnXlHj3ETFECivM4FqYGmKbVRR41DYd++iNFc5LhUn/W47ttzmZ6zVvtiyMKzj7959JqckUX7LGVp5MxEGq0LTfWCkChrkKZbVWP/zqHAxsVB+2jG/sbOGBk6SEOU1sNgFE0szHo1PGGHYFYwvbz/H5JpepZTj9XLmGL7fk0b275KXbYZy1JJ5mvjx0iLsS03tJ+fUBHSe6RtOEEzdyZFpeQUmQ2j28hAk3SUDX0ih/+ZyfOZ2ZUNcqZVfhg2c306UqrRdC+Bhjz1mI8hEh8cvIkSrWfnlF6YbL2SHplQffgSN4Q+mRMLZRL1v6PzZqjN8zvfUnrbtpdU4c4ZePfH+TfijrOGAKbcZ0yOHOuQKaBJyfO3p3wPiXCyoLC8Bb44Qsm7VpprUHiS3E/Iy5THPCtP6XPBJXKoIoHXdEDNQgRDEryTe98gNW3spxJA8JepJSBHCg8ko6TmwJSZm+F5yRHJG3moTSrVoFwO7QC9J2/oWb1m2QR790sbPp0kXJUiel4HV1TGG7ep464+44ciMB/92X3DSKzrE6gTKinivZya4QdZbVpU8ekihcdhCfUZT04I3pzHKQdmkw/qeaZH0/Z9k5CU4evcq5waGWUoH0k4tmtNd2899eh1aNSryV+gOzPc+6cEaShN+Q+M0q82WJ/QcV/OK4v819M9pS8UlWH9WW85mA9mTO9oXUXoDPaWmth3z29MGME643QoaJgi9jz7P7sm9B2eI1vTBzJEu3V/DKguR2oMh5tvHUWUW/Q5FCUIc+pYHCZFjWQ5vYkFmNKP31x0L5f7miWnEk8+1xrf1+doqAHWMY3nKz2H6Ox15VvGF0VvgofDj/07rjVzKDYrynxrwvvKDs5hP2+NUkLq4CAY81RLe4BIGw7L5mCedmC+koKwfpf2uvd1SETOF+hek4wNRJOe6cqJlpHYsOSZHEpHnJ4T8tb+rVcrgtV4gpF7HR594vD5N/b2T7pH9Zkv7t5/378pvWemxN8SCqDNIyiK/hKVvGopPU1nDVqvVKAlZLxFCAw6BOOelLG6T4pGbefGNeN/2yyzDaUt8lTjyyGmJJH9/C3lrd8q9unD/ffWybImHSZAfeRHdw4NCkQhH0tRvj10CkteyQpHcKxgxp+9yAJ11lpj5tFn2t9v//zPoyv/mgfekIiLu7+BFdQ634x7Ie2TM/ztFPU2F0dYev6cw1phAjMOg9ZBbmmflLaB0DWKP+yq+1P6jwwtSHUEo0RPfFE59BSmnz3t3lIMD/61rlax4dvP05KXR/osPcChBb/MaKrR1ehD9KgxiKYnnh1pSH7Y7IUnpAu+kJM9V3su7fRYFweLY4LpPe4yJUoUlZBV+dttOxtqZLXK1FZTL1vDQd6QHgNfH5nzt07GmFMJDh6Ty/SdvijdJ4cnhaFhw9tKv/y8fZk8AlR0t1cIx9Qh31OZz9v1fANEOwk88dlrTDzIPkWijt7e6ac7g83V/gt8nt9rNsrJUJnhelJnZMUc+m3KgTPgLkS0b3cG7u4/r2tfTmxvN+u5ft19bb7kHMMzDHvYxRkjv9YAS5dR8iychJmTEecJicu9mn+9UUgbIO716Yxdsglk++XtnXTh6sn+un32l1rXByYc7DvTeRjY3l+HzEG3Lx864mxBLZBiEVgf332Auk9oTZ/a9ygB1BZ0aPva+z6Sw0YPII6SPYjqhjl/RFB7TOWG+xTJC+Zkr3T8erdSnc6ulMmb0pnzdeMmhXGodalbZoE6OvVv24DQpg/B/KFq3+x3gsOXteaz954v5gC+O6dj3Npr5afOPCC5Z1+P6/KP5VTWdIq833AIy10s3Yc6OB9YkUf44Oj4FKFG9hod79fDL5lgfj7FeWEREhIEctMF/W65YBDJ3xs6jJ9poeWJRDZv7JDsVo3VvHndDLd+xgto8ZdSY+0pw11T8r53kb7XVBJ5icdXK/SmlMNOPajWWezgE3uNVoz+gCgY2CvyZi8Jrnv7BCN58sFSGDxfXjQDapEP+2WT53sd5hpBeJyJEgnhF8L3NcBfvA02sJhhfdFyfz+kSm7AYaLxj7eQsHZRH/iB0cYOdQBA5j9L4a4WNIZRCZniFWPxqgk2yFxpEDbrmdXhYlb/NMX3+iInxBDEJwQzECpjs3E5Y/k5XafUB96fgtQm7HsJAaP++mDpS/qMrasfPWO92UZ7BOVcr7tV3uFVmAM9xzGi5CTGeDo5KhM6bhFJTUTnPMLj2z8LdGPK7C2hEdoB/rS9/2n7I6eFDf2U9hfxyWgmna0Q1w6aaBHIuDII787jl7uRYwdv8uxAo6eC33vPUDQfBMnR2Cvn4KqeUQ59q5wM5vud5dmvS56sreERf6P3MiimlXQ9uc/jODBc+/QZxns9v84+w2L3v32CaOcqclwwWbml+15zYkrQrR1wpUQUK6eC8iAD8/TcF7VeSmz0bAXXMkTHxmAUVRsQ70KK+2Wfp2TmuO7v6e3R7ikaucaz11sgI/JQ0NS9ox/0s6fmHHy3CFQOWZejt3YGsJvBXZirBlV8uFpkvYcPC+ZavM+AJDjEap/lqSdfckGMrBz+p4oYfKYoRx/ai1vXeTufWi9KkTDLIGufgEA27qZmj8jk9C6y9/SXzj/a/f57g0gfGC0/ewM/Isg8Yd5ZUlxT89gM48dq1o/gs1N1r4wE9a35i0YUW6XcNODwxb/LcVgy2QPlu0Q3R2WQj61vNTLiCxqm/Y2f126xRjIz5LwVBI9uuuGe0fq/KRL68wOjedtjw+Ep2Ns7T0/ISdWgZLccYqmIt5QTVfN5TBYH9IysxymR/pHn/1cXQ6IdKyP76KMz/8N4MWfZhTH/hWR7086eASNvynhIVe1b2mKz9kL0cmxyp5ZcRDq+kNMuurEJUMnMy8tvcsIMDnhLOodcTXupf4ZO6BvA8UIa08v5/NZNWdmXJvK94/eNFb/1BJW+pWhr2o5izps/k68hf76CqUM5h1feNvprz3JThnPWDNUqE53kJr8eE1bP3fHnfKt7Y8AWMtGrdF/Da4KJ5x7qsjmHV0cY2vTJ/SzD87R0Xz7QaLleq4zq2+kDMOyHjOrrjG+V4Zcpu+6OB2okNDWixBa+sjM4X/pUAxdpOg6q3gEIq/cmX3tmLJ+S47BaOWXE2PmUxGWYPxnKanjALM5D8ndWNoydWTU9Z0zp+pVI6VLXS0fbpS+lL27UqzqHdMv0+K0dCn0V6HLtZ0/qbM4J7u/szzpTaECfIyDSOnKP0T3D2cwnmup5T2yp6HjPCHxSjRyQaa8plOINber3U6hqO+U4CDRvEMzFgHwwD+tVJXO/XvH41QnFX/0syFI5yJReJyrRdlCTCkW3ylA+k9GRVHYSeSlfqqsGQ77o128exi0tN9FC7OE+S8TzyT5bPSfvAWz9Wu2weriFMqY8A57q64twwGkOiIG6IB0doMYX2IpxZ9iGHGeXCJki2LbDoXuHnABnwL0gIg1NslK0OgmBUJWfYDZrh+jSF9PaOPSmbWDQ6sl7fpA1qPsAUWHPr4eshT8xAXteggKecJ+8sgXbwH36bwf1xr88WL71gSH3edyUvLsO9Ol5SSLH8SWX7MKMXaV1QsU/MSNtninYCWTGy1s74QWnGc0Gsn9e92UG7BDl9V2vzWgs3XdPQWzImVGy8ZKEi3yAQURxTzT1KC13XQaQBwuuH3DLXvOcavye0z4wOkpwXlh0IDesmH3+3ofQs3Xe3MVBxS6QG6MNPuJguX+9YO/OwFk35Vm6p5xTmQ9DqiUbY/HcM28fLdo+P1uHpNbjNrktHngH2AQVxo4HbbbuF8vJy51xULRV1KZtp4z7msknks/yGc/NW8uDgrWu7F51tWEQ1z/91iYgzTvaZaK141pBOov3nVdp1ZhC1ZhE1yz5TePQNl5qag2r9MGWaiOTxefHCD8oIoln453/rjXeKzRCTo8js2FRvdpkCh/RSJ7VgXSmRCAM5RraQPbMDKwIXsNzziaZHHejmnxIwZeameBEkLuf/+X+wQFbOSX56Vct1CSYnN3G1xmdJZWjWYK9nZzDnRwRK4FzPsawoO+ad/7ZRu97+RKjB7/5x9GRN9YBq/N6bVHiAguWM9N8IP2wSUZcwwBNSaSCGN5DI02ZVcrwHZ0RvbrXeVbkuB+015tHnNosOBjK/dQSVdI1xvZt1WfpYLbbD+uBm4L4epyP21MmL27f1s95OqHo7NWVc92ZMSWHrwwp+1MK9N05Ve9JvpwdBufAnFJ5aS34yOL4OSFGZiuP+0VPq/SgJv4gql0YbKncg9xKQXGIsfpXqtDzF52ld4fa/TU5Wy6Z8/yfSK40bFFfqbvRFiFuLgb6qjurhOgcvaBICaSsz7d2hBDAaS/ypAkGIs9uweDKBr+e/O2Xbpyh/UNyA4VPez3W1BavU/etfGfMd/Az546zwqnkmBuqDmpX9if15JhpcjKG1aFxkBkyjOeidn7f9A9U4iOt8+M6J5wakCgUwahE+c+9k7ttq5IwcejsnHZIoWjywnTpFum+r6bjvtqznR7/ApP528mB4M4Z5UzzkaGYGsnM139Dab5TSdBrO9eGgwyEzoKzC9ebb+j7rBwIhweio06fXZplxkZ25jB+KsO7co002AcO7VmCCNdf+gzlb52nBZQx5bT9NBnQaetDddfT0+FQrTezDXv3eSv2t9GimhpJe12uHBEcNd7Ovvtn2ZunxW04efW/6+/JezaFIfhwxnJt8xVTqO+59LZhYTVK3iU4UpN7tZafiRkHJtzcFAIwS5sP3mD5KaIzMs6fKjrjuWMyuoY8Wv/DkkO84AmjVf+l15Q2GzZom/481D2vWSMFXYlEtcoiPANPWU2pa+ydggFEQGAcDavN6BszfQ01PjRl98lg1x2ePtsAL1E0c+fUqXllSPObh88DVUhwq9k0JB3FXCTBIxmXJnkdgcG0hqIQUl6MHpe3BnMtUwZ8rwTrmBTnahlChBtF9JhsWK0MqhaDhwRZzNL3gwZjvVdMf/9gwwjRwkn4A/3OIZv2+lpsSIeG8dw14X1HTosJRtcMAwX67A76j8v3XZqQz5jSHubH+mBQouclU/37pvbPXh3UXuvLOkQgrQVDLvd+XIpSJxOdT7Td009Vk/1j+p2GHhyJu1sbvYk3Du61pgf2+1cUkb656EVebceU3hbJkGutDgR4UtnCbN3nR4M3dSMCBT2+EyHf5Ps1XB+nZ+WHTutzCPAMOVEa+N+eq85pkvd6MBn5eA6BTkEfvWxqn+UD8vKvSKFZ0w+UUz3sN1Nr2n6Tkt9Bz9ae+ZutOfb0w60HhWwcFbai4nBlEi9OCWpd5zBSMpwlEBaSCReNUnKmFNavnyz8OU/v2ynGpXr9L9uXvwbZvSvDeqixdNEhcRJc5PRcdccpKj1+1Y8bRuC79Plm+Fldnw+ypmxsHbhJ5EyZU6Z20R+TiqRyhvm4fbiyCfnaZy4w+wBn+cNIu0Q47yma/21KQo7e+t3Q2SLDzwwGlbJZqdBzx4hC42ux+Ys0Nnzi6NpYyd/q+WQGbrvt3oHot5kZoSnjLbsvTo09uT75h/ood9C44nM5x8fHGr5noszsKSk6MKx714Rfwnm/1fqs7tH9D88lX58ceMubcjQ0P1EaIzr/RXuotOaRXqsh/aL9/gU5eCY3If8ZA8jhg16RJ/AvWRKlgkXH8P4/Haphfap17c/Xk2dMUApU0xnpDWQl/YbZRKPj9ApfMxnRPxczdcHHNf8z2Ub+e2bPyFj5vi9mHJwtqQbjHOkXAYJUDLbtuDfw+H7cJ5RhgdbwNUGtphqBkj9gxFtyM5nVy1GfSnyb+m4cFzpa1YAzdUgOIiLTm4M+d+rsimwZbnC9S9QO+ePk6ZWO7CjX+VedqnIQNa6ffJlehtdi3dXDC8LI3Uv7uda61kc66oTf3zHk4w+b6C6nixqUy+zkI4pwpQwEauO68tl67T59LqMPYn9BOmfWGWcf5NjkrW+1j6/Kvij5+kufhdW+VfqG6eIYzpXzcGy6Si/oHxZkIJfJ02Lfa9BDVk3hwnhGQPphevblyccaOeaas8gLK2fyPDpzXZvusKhkTGSP/Il0+Yf0gqBRrKHpDdRtQNH939i4WszuWw01x865VcI6htvH6zlFFxQTZBTKIgCckiesRvQTQY5gxl8Gw/6yh1GvR/jmSmEsg3KdJeH5TOkkzhCgbjOV1fA+Z2vzCeYQDXVQtNA6P2V0coJzcg0SCIqBvvP1sBfngWMs/mSeBwdFI4rwPl03XCARi3tsB3isuRhOQn5tSgNpB7mAxyVnYsPBB4aWy+OoaXVRYIZ9K2dxyZEgJpgaQ7F+u2c/P6/7rBZfgfr4EnWc1+92afPO7hlem2Mhif9AinaBFPVc3cvPi3rXrdnBadWSvT2Dt025l82LCsE+ykhe07+vCbJAcvHwM7U5qOkgEQdSRMIZMUtx2mvhSlBEhN/daMHRfgmtvqtTGb19b44NavoOQTZfqrwH09CAee3Z3pVCMlmDAX18a3D5KxYcXSpSal1FRZTMchnl43NQ0M/BQA74BuXUwbsbpSSOSHBBWLzwqRO6HymFUCPwIJtvlPsxyHvPYHgRrgsxwxi1G9sXSoHxmKnn8rkEEINx2dlrHN/6UQAfDeF4Wd8zeMRBWxtnpHnKWg5uWzN6iunqPvNvV18zT4bq4PJCmodvnkL5bYbfZy3Ud2H7XYswl2xecvMjo1/3Wb9NNn6bl7lrSuC2EjxHtYa/Sdn8KKfqtRmMT5UCuK898Ig863eWxnhl63h2TpSRd9+sqQjDuEbRJr9x3xyn1xZZfboc8T0Yyinl/TpkH8/z9sz2yHNTkA+315dUxnJoZ0qk5RJNqDc8LuKMMh45LT27QYygXHkvhp/C3CtlO45ENaCQL5LCsK8U4Imtzxs61G/tLBgacFgOB6dJAfwf+4yZ+h4Q4bkandz0QI6sYeS152stGCTMUAZzTKxZbL5yZqV4djy72a2/qYHHkuWn/9xQ9YhOV7bepu6ARU+t7vWLndOby69qn7dWue1LM4pa8R1djvW8/i163K+6WrnmIZ+b1T+4ZhPO+EPJxK399yPlP66ffc4BJdJEgJxgCJ+ffNze9x0MGejtCyGy9RnXVrdN4XndGUVEynZczjFUZ/3IXkesO9/feuT+02Ga+IEoU6SK88Bhe3X7zYEnx9Aubf3UqjJ6TymKOapnXbK/pWDkAt+eI++M+E5MZVD9zD27MiDdfXQe4uyMWxXSQWNj5xZUbSwYAgQO5bw+BbSaA7VjBM+FcpJ/Whc96ycAoCvxW/T9HXgRXaJ8ZCEcj7XOvWNovHJe93JQKOGxye0JycWMycmz26s5kl2kzz2SWyx2DGeG4TUZHu1ab8sJE2nq8+2So/Qtm3QuMeK1c3xnTs9MfZ5z9oHSFMhLu3Vu/GPZ9I8uZe4Fu/ek0Dl2YvBw+vuu1hT3hXVfNydbedQTuqeP9jm/zTPGf3ik153CiPdazV9E4EumGz/Qfm+Y0duxz1V2SYzM+sbZeVd7gXHMifFd47W+rVFzSqwQ0m7ts+rQXBrogaFP8kOd7yUKikDg10qjIZ/23ZAzQaJ53JIMQ1e75PbPyeiGIRS/FylPQwR9Ymt5T7+HGkFDOMXTQyqm7BaRSCSIlWZSgAsbV23qMwuzCfjmCZWRYlr5gdi+G6yyUYIk6oLFM05yW0hK416MPB4zAO/toeT8lk0gt1p27iHfoDRnygT6AUp4Q/COaS0vSxDAnuPxSO6Fd8MAHt89meBjIDAyEY/wC3m8Wmd9PHIWiIexEqnxKNQ2IXs8Ze6pp4oC40l5PQ8flM1QiqoZ45n63ZsSOsQJmzbrhLFjtP1xgeh8rtowvoMJOnrBsi/HBUOkbkZzd39XtsFfTgFQivrwTu2wZOcSugzWRkVbxnZh9I170T6WMpCT/eCKwWkdouMpHMM0nYAJIUYlf3x1xea1iuTlsfcqD4pF99Mchg81gWXODqbavRm70Sf0eQwsuJhieLAPc3sIZ+pSQaTgdzHGOgnX+ppUBHPPqda25743doo1/H7yweZ+oBwIssBr2jfRmYboz8nxAHmh9KthU7oEguUdfio5eWtyg/XNyN+SQlMqJmLgcOlJ/focEvC9Yvx/CEV6VjWRWlkO64nFkNFwGO7s/dekLM6nQPqx+mKNDAa2Up97Yfezds7RT2IacwSQW7x9y+TGvbjUup5f9HZt92BY9f0Zsve0xyt2qH2UcXQblYt22D5YFHVke0wZyDHbElEFQg7YTMkWogzimN7Di4GlJg7ieK/BWass8HfkQv6PQVQKpHSCcXXwOV/u0TnAcBUevyQle83dEaPy+NU2Y6fKaXOQITDPy5EyuGK7zpVz8am6hh2Q/FCmHBc509n6vehscheoheaddfTedRdvgs4dozOTgyWKUjZ+xgKjNTOuh2YgZ3k49CHf911FDm+pecnVOUMcxPTasB9rl2OltPZIBndbuYYlQWxX3vnI6L3lqTQdOamowmC0l2WUZ2s/F7qj3OqUuYbm7AcnK1e39p77LVABZ6e1vjnjd3M/n5Ic7xh0zAm5IPhw8iVS3CVkiyOtQYnzNe1lz5GLoHPSDCJA9fcv7JzKw9354EONuqtdanrLtU7w5L6hRqctNHX4g0Mv4mSYld585bexf/s8EOMsfTYlqznDtnVk+kqphHEec169PScuJE8pNIPatU29JMjT3kIVdmxaldtmXN0b4hW0CUrI4VLhoQXjkjmZpxWUAD5/nfL/6A8eiCSZ49zPRW9vS6e/MUfx153/TTsHjPsTM9zYDhdOlNwhTA4hbb97VWzagzDoWxM6gH72fEtXiqTES/mYqO+SdMr7k7FBZ/VWLQ7X0Y42h+WCzvWhIUT0/g9umtBPnnkCgnlBekTpDgTzqHXmGa1UPvWPGtWICicibQoF5KsNJGNunNzufS7OBXSRjGNWm+Y0d/e1fc7YQCdJTTwlvYXcBOJedq7SDKUrOZqnJX8bJ+Mg/j06Oz/qZ5r66Ph15h9q9VnAwIm6sClTnAEyLF0nZ+1sq87A+dF1jbdDd74w5E5bSMjAOCaa3JxmstxNAUUZV/SUCQ9baGxzT8oTenM3YY6oziqUy5N7zZdbRHj5C2eetZt6cMgrPavoYyh+n5QzAMEQBrVBhGR83RTV1HSIsbUf+ubW0wP7j0BSDqKmMQsOQ/BFbQCldlSdnOD08qvjUNz+GIIuGvvFX5p/2sE9vzzSdUOh9ywDPKbHrdpJnW7eG+nq2gwvD3CpvJyTM0CGwvNELdbk/MX0jN64RaJI6ytR1tVUgSp1DgKL6Ab19pSDQmlPvU1CIKqzQYtmzBHBrsnz33OVxw3R+vYp8E+n/P7mIT2GpZX/BfNdFsHsvrT9L/qbYBEKpUA8SEX3SkUQsg7vcDLm3yp6e2UH36FxQB0ARAH0erkkXqD74NXZVz1NOTXkQJnEERnHeVIqanpXivyyTcZPYT8nSESFqKU0xyVntFIH+dPlWS9JYVx4Uw3CC9WfVtSqA9EiTbaZJ6H9QQ4IQgBIbdUlZh4IMbunEKZkxCnnpSYrx4zJhiERnnPDDil46iojvdysq/19codHJMZAK2Z3+HniIvmVO3gITNuGKszQuhm2jVyxXaQqDgD5QOriMCGq/WKzxw/9bJ9TyYyBDl4LHZm19+5Q5AKVUGsdUjUgLYzy5zq4HD/f/6kMLMcF/G3AOqWuXnIyk3R6WwzmZPQU5fvOfVpD5WXYqZ8zJ7P7XTvIzD4fUZE8durtOWhzphxAfiu3rpxk3WTeVWpn0DwtEcTJHyPAHuhncmUU3VfatzemfBn9i9obKYJtInOoPUb6myFl8qS+a/bf3TM65Oedz2pnn6QhfdAyNibi4Ut7Pk0LEPJ+MOuDQY4zDWv8qhSQAegDlF1jindcloMlVdK6+vstGQy3NwNELDbLnyO9vOwZc9f1KYJeCo3h+GNO00KdfU31cSO+mXLfPSP98pAEdgFJTR4ZjI4lrUTu450j+cM/997l5vpnxj9o+5shCvgcSunUOGsUcknGa5nOkDTBuAxQxyfd0tTJPrf12i20BWt18V4D9VLLf2/35nmOqPuVMi3NI+jDAysB3Ddk8IedLwNGNMs5OceN4/+mGO+UM30ngh3rQfXNHHeXyFVZ0m7pEQZFeYhxfnslZ7O1cK/OAMjf6s2ui5UcqLUEF5/aum+f3pZ+e07n9YjuA5oIPn1BRu0+XYda/yWzZN/tfH8q3QVd5MSdXeBEHj5adDpHMoPZy7AZgKJMTJOVV3cW6cDzCk7oo++GYi2X84xvcE7vX7DvMuRlai6+yVH92xQwfa3p7Jnbb+f9sIw2tAeLeedaLHKkEGDNYN22/zZEBso3Tz+z3+wAhM567NEZwwHQJcus5rcXsByYIRYpfK60GpsGtld7btav+br6ANyRPM7bZ97cviEynfm7ej+0t1J4Q7QwEQSxW/SH3z2SPC+kawwnAPLSzx7u35dOoJkvmGj9+RhqezRF42ZQ6vhi/MAW6q/Qm1n0H/dhP25hdsgzOjmluEQLz2DoZoEwQTmZluNSdwmnVxclCqHAKHyTElxC/PElSlavB2qmozWsUOfFm9s32M1hwSjdMSO0a4l2TEmF+ry/8QVKVja0UznKP3doVphv3mFTj8oblqelyHlrvEQ9bTdJuL6U0TCuSTvCLRP49Vp8wjltW7PHWjQ/B2uN+qMB/yeLLkExissP6ZmVbGhuD84jpDO0sYtlBI6o/AcRwP0RelH0ha3PuR1c9Wzyz+tNRFPTfrech85STwv+ni3tdlXv/WFCjlAFOgL1Y4Dbj51Txne3b+u0r0umOBxiELARVqIsCvXEWK9HrjHfAF1SUmCsU3Kq1ogM9HrC3X6ckVJ7WlGWaIiT8NGJZvKEV5TPUL8i400Z8bp5vWqjjeD6aZDWc/osDS/srfVH1DIL9KkiqpSFhveM9RoYnCn0dXsNw07WB9arksz+W9G4WcLXTYwG3Kp1Bg1zxBje9fqcC5O7l/a5F3DGcp6+N9GxhReM4GXg9tHlk7SFe3e5R570Scm+hh3mDCsF+kJwrZadW2V4fnNnue8UxM095/t/ck9Dpuv7mjJCgnurObq9fvNQHJDpgj3fO4o47cEG5Z+xpaVbzK9UA/yC9mhyL+HpydUQoSZDCDpbtXbO5U0pKUaVgsau1xzkyxrXZ0SfnSyY0sOxuzvi3O8fF5TfmjBi+rBePeTpg1d7TsoaCfGtKS/w1y2lK1bLoB5R1CJvqTWlS7Tm/EvJqOPcapUU9V9rgv7H20anRYnda966ji2XMene9ClfMcW6dtNyTqmv8L5FffZe3bYI5F0xRs/q/L73snuauDPb6IRgZYp49wYGGBDAAZ8tnSJadcafFawEyeLsPysWLmPrPHH21CxeWYcKxvWCjKEBJM6OM7HKfDOMtgjR2LH3YspDRZSVmPEsLz35At1/pUY3yg0ZT53pvpLT/r3kQ6OZz6djwPTnFB2+OiIWORTRfbM9qWXz6OWdpzenLyYaPY82TI5277m1yfxd+4MVLK9KASMTgVc5be/NAHy379M/+ajYzluWc31ZTSFurR2s7wNNO2/GyUEd/Fs3I6Qr+7ZS63p45xXRcrecDfrC/n6koEH0xbApIzJPVrMF0LVxhvKhHD96xWtkll7e2dZOVCOgNY3Ca71elHwyoC4pDCxchs+5fWXyfD90qPNvuAB+zEu6d7//Uuf+D332xu3vqg82pajfc0AZ22/kAKzd/DyT1ZRs3dl6TD3cES1r4L9zayJHz1AO8FCv4YzqfYwEqD1rE/tG3ynCp2ORt6AvZFmdPBSK3vtVP/trH/2O1uLU9JcUmnaNV6Sj2AX1+HvkgF7d616RjuNAaKE5D7zZQg9oYFFzlRKiUx0Nfwjtaq8xFOTnt013fPV36dWCALOlD0xOdCWbDnftn472FLmYyReBF9VcVVnLfQn9q83b7BRqB3V0nrOWUs9etFrVDqKiet6EizB8rOjwGXm3J7dJX21hT6hGkcArURgb2MnfpTQFm+tThv9OBCRgMpAGWFnv3ms6pC9q4zyQpgxqvuRLTu1wUOq8Eh6LziiaY3MM5A5mbyH3zzNZLWXzhTxbfXfn7lE3TxAvKMcBbjO5Q2kEh2LaWlqRHthLdxZ7MBXjn/q36JrwKcrepnzc5/PGHBSN8xEw1MKB6/TZ1XIS8QUEfkCvl+8EJb0xpXBhm/+7nk80tmXJfFC0pt0ApWkNrVyuoI2xlHPZNgVgNqPcFXKSFoSIC69NASjYd8/vyyGSq1TCs+oCU2uXNd8WXYtkZmgvHZTxRfEpJdFwm3KS/P9SRnGpjLS6Xs6BKEgfahGsfNV7QweUBSFRgOf0mtZpChsSlHmvUyIf2feu2F68uKjs871ng6DWcb7Des7UPihncs3Yv+2H3sILdVC+nhxpPyjiBY99qnsHfapNcx8bp7DWyqjt136/MMh+KN11dto7DPnTgzWPCjIC3WrFJpL/VUYJ2WyZnKSNO0Bn9G/fqSzruzEdvxbEh2CmTejF0f/vSna0WVy09361XPt83Qeihik21nn/DvG5KbZZ2iR5W/QkR0uRPSfzX13OiGEW8uhIfae3htu2Ppw4zpgWe0rBIBRyf+/s+fdXblSUITVgqtXZKd3j894Pas3OMvihz5y3fIEm52eHYry6e6Rotch8ZKEZRq/M0XRNPXdTEYip5SRaFc42WqbPk074ypoLjg445/6gtYajF8n+Ogdkz188MFojx+s5yfIXIzY9VcvAcm+bxBjerR7Et7VPxzcj1hpc2Not3prpRez8iGo9rxTEZTMWkYwacVf9r69GCjz2d/dGVKs7UecVYdJ5OqNzem8GYYv2/HedVXAfPUAh0wkqCd7deXpSilg7zZU7fwPBcjoXA2BalbXUtU3jnN/278+noCntwxD7Ml46Ba3U54jEOaEXFKlxWIzSPLN9vuk2xLMZh3Frb60ZxY7pADChZ1QV8Yohrzt1StIhfSa9OlAZ+gPhWrGIlRE89U/3De0msaOlbR5N/4n06Bn6CRdg1RxIPa8fSQmAnwfHMyGfiiS15hl5vQukiJS6GRT/kpC8hx+NFGbgihtvPebAmen+rP/dnY1TO6PwQ2M1oQD0/us6UxAtTi0ylTatm9YDgasiSt8xWNs0L6WLFJVBCPoTvL9I8kPpCLKjhanKBo1m8CtM7lnbZK7OC6dWZLqHCpPuw1AI0es7kk/n530hTcv1TOp0rJUUCwBUemnDDPtbM8xK2+jDfY3n7HeQppk7bJClGfpMzr9KgE/ncHxHh6mEa8OJ+nwchDM6n5pd/DwZf9D0HrpdBC3HnTzt0HrSp5MvvYkRQCEJ/4pAN63ITZmcAxyYtQmHMPzONgo5aeuEd7uUtoXb6KXzjD5eX1olLkJ2HutmCbbQnbE7Awyi2XdCKE8m37BJB1LbMpfoFgQz9uZ5OscWTZ6cEI3hZblAkKPi3z+3GAumZPRdxXRGzRZtw9Zvji2mJMcIIxMQllD/2AK9r4172IYmbCC85zd78JwU4kfb/N0rxN+jP0vMHj6fABhCIAJEuZ/2ksvdzIb2LHIgDsmGKZCPRedeLaX32kg+oBzF06qtwT/vnHhOWL85iF/rGa7vc3jb6tq+3Gcs3Gspji8T/L7/WT0bCAarbdvuA0Q6uVuV+/pIz7Rg78OYE7F/KWNwRYb75D/cMwwj3zvl4LDSKX6/WMqfp7Z3xLUN+vzj89IJxg5Ftsd0qAwOeEmKdrsMpuHD2mCCxiktUP8prQ1HRz5U6Y1RUfZMS8qdyku9MbRClPMhDNMO/IN9xn3dN1hI3SzEgEesG5AGA9ekFE/s2ZdvHd5eVId1/dsixK2Xi0wUxIVkI83gMFIy5BBBSQmLKPrQZMRh095Npxgkt+07aBe3brzxZ6UgjkeCA990wF7as/20iEH3lxPXilSXItiymrjXd7/kwP7sVu4Y43KRSGSg/R36PIQFQx7eXgRkfCJv+M05SQc8b64BYpUT+/4rFxiad/y5ewUfIu2QzT93MOX9rm+9GIqhzWd5ecz4yT1MJ8sZu8t4QmrA66vW/vGUzpDyHTJAfnn4omQoA7mX86cEmcdPpgQm0PnBCT6s5zDHefPuaXFjB7vfA3PqVk25HJST+ckm38h1eh+ugctaM6zyxQf3/lXbh9+lrOXRGQfkl9mWXXD05BlmHP3smptH+53xp9GDCy4w2mDJOcsPPzDavpSBemQwIDLQmzorCD9q5KM35hjUwH0whMHZyZAGExxiqNdSMzb4/sGM/4J/rQXjo6E9QW/Js56520aek4eGuHw7QtrOORTGDfLXRNouM1s5dceUqjGPGWwpAoMA4FZM7+KcYzUbGPLV3r+6QQ6dO84Qk/zHZBkEq6HELekYUa8uQQhxXnBmdZsPZtzemLzsn9OHTLhe5wO5bGjS0Jmi7Z7Y/nH438Zh7RmgWcofwabf6vtXe8ZURI8s/TjD8vPkWsvBoeogFOKN+CZ9Bohyvxjhq4XaKSt6fPvh2SAXN/Tf8rifSKaXWnSmgfwzU+uMPLTL/FPZuS4zc+nq77Q+3+zsDVaJ8HVP0gG6lIG9n93nKqMDkWoJqSpgQOEm0jHkQdMWpMsFMpI7Lt80pxC1TQoMGK5xwwvcEw6E6WtLStu02c/p2ZAc2/IhEmasIDJSj4KQbyQ7Stqe03cqjfvV/UXGGTUzeF3sDWcZgrRxBnD+Xj9H97Y85K+z/lnEumRaxQoDPHe/M7QdOerD7RE5fn46QCc0kepS/VkxXfnjgfg584CoCM6ggOP692nlx4CH//aacnCbiTAk6ntDxdUWcOcE+JFH8zzaCBHS/YXaGj7w/PSXBa+hLmvur4bP5vGkD8zrf/2Zt9aqa47hAL8qg7T6GbdWFhEOHxz104RXtPIjkF2LDO79SESl9+aJYKSq9xQ1HJXgH5g3/pyU3aIt1o4pQ2UwsyYTe6XoDulAHdgBoJQo4bdcdOeQm7y5zwPx6SiFecc5ebSD+4yS9Qqf1UvqW7p1xBCHiNd2cdHKOMc+XjzQ56FFQ2t0jzzdj/adGkjrIrVrm/v62KsDfDQxB9drGKrxxmhywRPGPntBCtFl+oy1o4jnm6XOIx3QU1KAaq4Y6ZdXpgRCXb+D7EC6eGlKjw7JwK7R/Wo2z7nxPX9NMP3+5hT4GISgxMAWCGmnFFHM2+eIsLgP23ZPXriFv7s2Cip9fwcT8QSrcpx7pgSRHeTCEB9eONTm3TMYD+3rHEpddVxqU33X03pGpTFqAWdKCDX9pkDlqDX2V1fI28VaNABd32E1q8gi7h1pjVLEnn2k9xkE8de0FSfrGb0eC/ao4OxdLw8h6d4QVS7R3hIUHMP12jxqI+70Wb68Pb2qA2do9Of0US29sDMFlPLgdJxlLjGnKMsEjlopUs/RV/5lgIyW6RkhLTO1RqDa07FGU5iL9Ywcg0fbO/V80I1Dg+zeGUQoj/fSZEhUs2jhi6jCxXD9OQXNMZkGJPrbGfU5bytSe2LOk848Xw0+BMWdUURzQ+t5cDKEoCS/bEyiCIVB1YDcn/Ell+V77owlDbaGBOzZ8w+j7Nr/D2WwRUVyeqOJ/toilKP6/JNaW7nA5UIpTsw4ndhnPa99Ud5zz0MPDwZvvZzJJZd+wmiH4+4f/fR3d44eKt11V81YHlc49L7Lm8JEHjrX6y0akSbRVRLxtOTUlBHPYVbx1JK5qXy/E3o+z7zMlMriOknfeyCnPANDDkGsInd5vvE5wJc4NN0zXE/7u4qDONhKFQEa5e9fSutlycG0HasmK0WKWimXc3JY0e7ks4//sXPOI9LaDzJGyH6L9xzr6Pmcnmya5cBrmJIiWrjPMX5S9zdIiZav+SDD75fr3kGJ9N8upReUkIneVs2QK/FDRDJQQzczkarOTLofcWyRqBB8prRQByRLry7AWbH1f25rwsBqzwmFMcbuheltrSo3KwB6Z2shaj+h6Oz1nbln131qXTndZEe3Pk6sdTWMQd6Y4Tw3PalMc4+cMI17Tsnwr4zN3/1AERG/BD/j1JnAGRqpbHGR9k9Vwq9urXNYxolRHTt75s8ukUFDLN1mtWYIpy/P7T6v6D0YxceHCr0vlEIKBWGNrj4u4p0mJav12ThABElpp8YPStygZSJRaBCn4od9Bnb5ajkCkBm9yK9PfgRGh1R29N3sgc5gqyQXCHAiYE7vkcmRSWcfzXbRFW/rPDg7+2bfzukZ8DL+mwvSsUoOzJiJP+17p6jXVI90fAqZguFRyAeuWpH5oT30htH/5T8vSCmCbRnX84oclQoo/sZqHbo2hWvPojNScN4teSmb5aGgXC+bsIkwsYdBpWuUv5I7o+w0GwDv+M6xl09ILAYvF/ysvEMIz+F6sKhq/gGWS3HmGcorigaHXrdq3xLwoV621+rC4n0GmhscLBeirRg8fd0iU4zp97fIlDXm7CeDBnfKeKLXEy5Nv78XC0/OEByiJSModrsL7x7qYbHLsJr3KzIVXUzuwMPhQwBC2R8rWz/jef+s970gAs32Cf3cCRnly1OHArjAMOOelpuEAuhWdUICo4PQHBVSS7KLRuU4fp/X+Iz2CqykGQAPE/wzaxiMaODC1vz9FV3fmqEYoM4Mgb89n7XnOSOgjVnSvp8O4TWaHvGbPt/37V3UTrg1dUDyEBnqD3poHvyCycwSPb+awKPAaRnA9VOWhJZS9+835Bxo+PG+oXNUXa261/EgBc4MKIo8fLkUhBKrXyZXZv0e2d4MhjDDtm859R+1H+u1dxjea2XUNUlXMztTa0hZQUQc7l/l5Q7QEO85Ranby9Mcsp7l+NvuHx3Z0Hc5V89+eY6lSUNIfVunMDkaoEc5MPnzP7d2nD7ryvlcKehNWkJJjwHwapT13eaoMPgUgJSD/scPPFTDk75XJ67pXQwjREZjdgZEuuaXvfdJGTtRq164jCtnVp9mZQR/aG1ekOKcv58NjNb+LU45tLUzV/eC8qFPl8PqdTz32ToUjJs841c6s+ZfYv6u2pm/LiV9mXxrz7FJinaDjMIqybtyGymP77d2Wni+v7OBfLXAUxcevSgjetrlt452vGzOhq43h/WJoTnVQoMtD3/OnKNdMrg68XzkiqlDBr5W2Y4ylB/mCIHWDFSQ7kH6umCGSkVGd45e31gVjTtEd2MnFXv6X10mNWHLX5UsWQP1sYiaHMR/dQ0g+MRLxsYVM5uxFhWqLLBfm2W8bksXUZwITXSJNSJn0iw/yPHgDFJMBmo4OD7PCMqZOg+M4fd7hvelwDlDGtx/O73p7P2y78G8151r7iBW8DCikX4D9J387XXORcZy5c6Vcy23Xz5vMJIIllIHhoOvfOoto28W2GhssVfyoRb/D8mjznjKx96UXvljn/WhzsDs6eoeY3RLa8bortC9GpigU9knQ2F2wqPp9/v3OTsUjHwstHL1zhRVirT1PR2Xeg9ETvWIKPCOjKLzIl9uvzXy2T+kRA9iLS05wlJtPxjvZ/dJzqVekcJUO1DfctPqgQ/ouyFwBqQjzB3RGf90wdaYk6FF6Y45zM789zLwX+i7CNZC6s37PPlsyMb13Yf308H29+fpUWVsIuAf9++vxra/IfnXw3mpk24ZvSwHX678313gZ/Zj05Absqpt7bQB2uTPmALKw+pEjwaXGh2mL+hT61qDNfbyPkTphVoxE0Q+06Y9MwMx8CImiuWVbRgZB0Ofv6hykZTKB4pKb2039wjqmac7EOFg+onATv5jHVSCxjRmVjumY4pN9IfXjTwBgjyxyOai6JqLl7sbKO99KXbZxkXax+Q1b5eB+kgeokbWFlniXk5FXRPS0vMylhSnpDSvxctEUU/qO8CCPDM1eQz+54vWwLcuHvNaaut0DKmlG9jpSRkSEN3CPRs441l5RtiUDIP71sxgfMm3TM5tqrmTx2E4N8zBmD3FaPST4c3KVJTQ8LopfOxCE0I01/5Zh/KtPS/HYkERYDZj3Q64+xlgtr74hUUnoDlEHQres1GMcpHb9t4z29uze/3bO1AuXuYRGS6Rwt4gxunoft4sJYlN+PaMv97KJ2XQTw/OlV96Y3mSH901tV/tLSUZb2yNlpspSKy18HtyIpeJTTi0EWwf1+8+RXVfG/I6f4++ePbf6HBBNx5tDddfvPxb33lgESKBf2sRnlZnnIT581Ixmn80TEGaOsvza8Hf5pFygni2iEJ6UL+hZ3+o71Zb+7jWSo7TsIe3JDPfTG4pNnkVwx6ektJ6YooffMShIKcgpUVyMo6+qUkxyRRWoTq6HTN61kbpjdpPrSlPKxIas4Q5fBekWDRRWCvlt01zLT9S/nF6HXikJnABQP8+k6I7KKflnbUqnX3KrEMu7MNF4McFkf44hU2pnN3fnNVVM6ablv9fO8LIn5MhzQEGOewzODOi7q/0fsQWcJzBA4/vuU0dXL19eXFnRIecp7cvUAG8AXXZw6SRlLyOXWCaI9sbZEB5/DWeMPto/fnnGt3UOnwuKzzvQ3X2qQKAYT+odfwYxdoXaoT/RwzT9mFKm3RG+3N0aw82VAlxWev5+7tnGC1dkdgvFpwz0kr1h4vWYD85k/LB5h3XwT+WwtMVyhlW6iYXzMk/vX2YPHz73ynL8e85VqImKm3qkAXoxiPNrZ17iNi07VsphQ+y3y4Z4yxrlPLmnvPqztEvctIGFmxOCLLgxXWyYgApY9251BuvWSmk6ULbdzbkiKka6Bam+O4/vWt0RMZMFPaOjMf5rYHKnneHXj07feB79bRetu+SZx9fzv/a7R/oWYOc/dsjCJV95qSu+I2bh77emPPbZgB36kzO35t3znhCRpCBIFzXFPk91GMjHnIA7umsndbeAUQXzdghRyIW/SKU8eJNFxzOqpJM+W865iqTrwYWcs0gOH49HKLrEI33uVpa/o1QJBDtbNzZvb85PbJpXAO56w0K5PQZ1qtAyd/BfR8SlEiWbvxsHdz0P8YzeVcpnFnlS4ekdjeZPAoKOb4clUeQp/r35Y3alO7UFIfziIQpSHr396r2eOBxQ8DHQYa+6o9AP02ewDOt/Cg9xDV6fk62NA19Tu+O2d/Tk7cpyltENStE6b4pUtN3esNVWXbkCA2bwUcw7X3zCrTZU6NnJNixETJmKVIyjeBWifyE5P3R07Ehtwh+3CzlgQ1m8w/J01wjT125grZqHzCGrcNmnJESm4/kOfH8rZcoxB/GjPHZKg/wjn4HTgDLiXaRC7bqAW2sIQKiK2UuDu9i/RtW/qrVZh2EiIcEPkIaUgZxaMICptw7pcHr3TMPaeuiWg3XsfNWzZgjkgxN+svdWsQ52lRDjQmWhtAv6fCslyOBsCGP8MeU6vdaN4cLJYpHikU67t5C8XkWXVNe1Zpe0udsknIEl8kDm8EqwlAKo5yGEXQY1P7JiVA453XQX9saIJb5fPDJZvUhNpFD3u0lCaGOLufkJZ9UJInd+MsMDM/vFeUWGCeXxgZb9x3IQQe29ozM9C6R/NEZVIdr9wRwlf7bRCIeurw9kPhK0Ew3e2mR5aXBfhukqLYpV8Qw6IqzQsw882k5GD9qHa3BiSnByZdowjOBQE9ovbFnF5ltKjHM1I5Dyh3y/s8x9ae1lT+Z8c5kDlLRdytZuTb5G+DPPozSyYcbfbG1/lAeqxzXra3RH5KP13XfHLo3YDgnY1iZYEHkLuPIwKYMsWgUsqEBioNHefyh+397CIT7vbQWedjR6P/Pm2/GobBd7vj07pFTgB/wiaL+dfUlzpH81g0Ncmh/RJKTL8bVnhu56Hv8XrSqTlsbOzNGNzKuqxTBn7uH3yYnBlQ8VK9u3+e8yPGSv1mWbq5l96Hxi9zSx4pYFu9Ma2OptM28VqUJKIl3lwg9JONkdOK+GRE5NiU6UgAgu2+0757loPbi8yntRTLQ1lEDgTnmrA3oy584OvGsW0f33n7vUO9sFOPru8/P9JlmPt9V7mKrhhcsU33255O3Lzew/Y3l23fJufl26yHKoHN/fV/weZ+x8MqLD8PpGU3dqtTlUob/6hI9QGHma1/3aK/XnSgR/HflUD6TIRUty8G+pRF2y+ZY7fG9uxp1F6u2+2K0kWk4+7rzfD4jZF+U5ehlflJnTOcfkZxexa8LAtVdCNpg6IAvwAd5RToH0QniZjADwqSmLfLIB3TPR7XWb0z3qKLYt3OhguKA2veJdu7rfc/XML/vOKg1mTdZ2a1zSJeMIybGkHF4S3t3XPu0acZZE/+rncu+69a+84hkiHEcX3KTN3YONy1adJaoT3wLHyrlJAocPIj+Xq4z/7aej87cJt1z5uwhLT3fw+Xe/tLvVZHskJwJRnbtrOrRLB/uzJ+bXOzf+6zhZcmyfJ3Rhy6nQDpjrhx5zg14XcOPmVsPE8T2SS/P1Odv3PnBhSDrWMcXpVO3a79OitsAcp61Z3HeIZdu+6EBtXxkGIe4c86aYQuLFqxJIx5QQKZqBY/CvuA5ePkbg9N36TPpbeWa/+rifPuDva4kT4AG1cWTGKpFpvPmSKlNv5Bk/tNdQ94Fbn5PuUaw1WJpqiUSlMX7+fP6+eYp2Jt6YAZmkYRAKc4Pu2kTM57YEGGRkfmTd+UR8Qye+8jMg3E7ZOY6w/TQP+qzfAec+5A8dZMTdk4xHtZD39/CvLzPBVO75OfkSxZLCF7ywK62AABtaElEQVQZS++zeVc8rw+XlzDX0QK9LA9c5KKh8+M1U0hA1+xg8lgQckAU3ymCxUY1D1aHFuUEZqpuHaR9VrD4LkW34FmQEyUn+twrT/ydKQNBKdKVP3KqL++eeLo8MN4peEXjCRHbU1sfzoQNOLDvo//Hhx07UVSsgceHcjau6c+RC9030goROUDESLj3674JrSk117x2odFqlbnItcoxPDlP12co+JZ7VmN5XgxNOe2XKnyfKH9Sz7d1SuG9Cf6Sotm8zhcjUGijyMBmhClUAjltY/CxfHAcwO68OcZGIwGErotTLFvOlyFLoNXzzpxyA4H+Hru171qhSIL3+cLIBIdnGDUTtx6mYBhy/p9cPHEkDa9HlgIncjA4UHf0Pd9tYb8WI1ge681B6GekQGZOZhjhH/dnodaDknxxDGuer9mle2Eb9kwaiVBOWlb+Sp64E/YtSEbyQ1nuGEy2e2xGReYiMA7h4e3Rq5Z8aLTNd+8cXZBMS5s8yDr0OWZhPmXuqcO5MSM3SumDyCEMV/XeY4uuT26/do9cRomAqBxGKQvGFatbaY+cmlaIIMQTkhHt5ewRZ5Ej8Mxk4CNg+s4qdiPG9qdTaJ+K3PamYMtvpDxEcMbwiRifFKLw+br6bNAaiLzVMl44NOOnRGORY2v395LtD7WAba93+Jf05m69cSH0az2he/9iinuGIpL3rDLXQIaS5z/n1mpwH2l83NxBdQ/nlPzx7pyKqg1KUn6zaBUzf59qdy9Lj1x/e6jNkhHvOqebXnLX6OsvnntoOvOZHKPzHgpBevxCo+X7TlHOFhHmDDXHjbir71HDDJF4rOtLOfSQHJ1+rLmWnVonqrmk8Ca3PB1/hq5vr8wg3q0GuzP05dZO+gjitGe6ZZa0tRw9Z+Knc4eA9Frd1IYJPO2Dkr4f5Oj84oGHRjuknLdPf2HLYqavVQrK+n4mXXVEjosU2TYhEBCCs9aZPyJjqFRnWV032JYe/H4yqzRJ3veRztwTOqdIVWDmB1uX9xbFIg/d0HcjvoFmx6knz8Rp1+B+uXSGkaHSN0MZgisxfXkywEBhDM/QWYWSfSpeAVmQ351xbHtZh4m0mkOyS06ONI8JPst3TyK/hYtmj5SyS1bV1ivXYmy8bpschc+lW+jRb4XqiFBv6Lwe1dlYKacLe/3TugN2eyJT/ejXDmaVMvv4hFPx0YGhjdkbtyMGvJ7GXyk1SQ+/LmNpRKeGO4ig0kT4Dx/JeQFjS/l9vGBHtQAkVstNDX/enK2YMT2G5MexOycnAD8D1E7nyh2b3e0z1Zj/qwsJSh531Row6SAoQt86+eAInR5MP72hDlPe02I/IUPKU9mqReI5Lt8HPLMcDY/yzXk6G3eIX5LVP/2mGl9n5cF17y/q1EEHAxIs4CFBSxZw0xT8t/v5wRmqg6e0gzYvATl33QUGaFJSHenkQQzJ/vtV/W7rvucV990xunrDBYdnVMv1jhQT+M3kg5M7/O/vvymuN7cYPGfJ9gP7jO8lnHP3M9HA0SmaA6sVlKtdJrf99OtrcpBCWTlDu3wHwXOaELFvXVPW7kCoIxuXUYzzqOo9DUv+Tsbp2DwyZBSMSEYfOQCkrOG0htzeg62r5d9H8yb1qgWVi0zlU5Gu5F4ZRhDGkzALG2zwsokRU+rx9gpG3z8I5N48Sx2gDPBVOC4iB/UiURk9p353wzbZcho/549ro0gOpkVQ0D8J2tuiqHTZDvUb63pz8HP+zqYUnUkFgOEYzqGWd+Kyng7wsq3HGdfdn8J6oCYc8w7lOtryOURqPS/ovaYsuYklm1d2UkbkmU20eWrf9+MiWXksSu7rRfynJgPU4ybtk5weYZZz5Yg8FqxC6YDMT+1+ziqSQlZQNK9129oxmPU81tZzy9YVSeu4kJRLu6fN1Sd2UzO2V/Zi/UWbahKZDQow1SOf2uyBAflJ63RjCmAohUrpaD5wRt6xdT1vochy3SPDdF3v5Ui9/8f31GRj5tEB3Zu8++XJ3CZBY5iWDq1onayoC7w2JWnSz+8LQ58due7YFOs1izxcLXgt3zKKPF6QGBmSWnlXRCmOAYfJH5d+rfJ8iDRjxMFUGZNvrqge9MAcBj1lyeXGKZbdU9AMrLOlscDrQih+muL63c8eGp2SfBkyf8EwRnJqacX2yaN1uav3fyUlBh1AUIPsQANE+SA3aMrP2tM7Q0I0JVgq2eVMzJoCLIhOU8aVuPe+0QtuviXYfs7ROissNDr4BfOO5k9WfpJjc2iwsYhYX2K8ClAyGNEe7FOXpxtubqTkzXePnpAeecbi8w7I0e9Cz/xeNPejm+8cfWX1ef4m59MqPx2RDIxQsyuaU6+qzaJe03Lbc6OPT3Mpo4EsSdlIj4CA1f4qAbumtdo2ZvlWPffpGWxjEJ+es3JDzjvdgrj30RQ8Q8Z4XV+LWGjauo+r1V7yisWrkxDyJhRHPn++7uuTRcBrLPbQMGJSDezT/lpDnT7z170eLD/YQkBcr/1az6s3uKEev+r3DyUnT+5zLh/6R0/5G/vbe76eDvIsghnNE47XyxvLDFIiWOxDOfoCAUSqm3rNyX2+SouTW18lf0Niy//1cPgy6uh9rpQFg4Fo9aL0pBF3ak7J0ELtKYeUfVB2M2P37bXyztJ12MD6/g4tVFsPnATy6YCBahHnbuo8ntsac/5WycH8fmfys50fZMcDkuHHdW9LpJ9O7HM4ejeqo+0c6+o1XD2jckVB8bda65d23/vlVKrBvjiUBFlRnfggEwU022WMr0iPXlEnt/HlOByZrfhvLkjGVc0uF/WLer+QfaCHOXrTu6YYv3RFG3lQjFgLCxIFWfzWTNgWYnaGQn/LHoLVfnJsV0l7pRNyV6JQGzkYV9/Rf1Mebn5KX2rqi96uchpICeovQYXf6sF1EeHtKiqeKaE8II/c4d4zRfTTFMBWKSWCKhTHQDRBBbPQ2ebhMwazzTh1nu0eCe9vU4wgjy3aJBev9tdF2DN1D6smEJqV+5mBwhTLTinrV+SBvKrfvagob5jN2cYq49jqyTEpO7yiOZ6wXqC8R54sBYDZ5sDtlgCiJyFBfSbC2A4Z2SXyvnYMtjF55La8upf1+eBYs3EpQbV98mgbFukdlMelTlFT/Y0z/oMh08ggId69w+5Abz5Rv4oYdUCemAvEhd3M81ojBf+nnomy2bTD8LMECaQH+mfQkMEWS3ltGhKwa+vPaGIjji+wCcVNwSNZaPihts2zUz5gshmOqv8Z7NLh7R45ABSUEVZrFFGDeTlBhiqI1OZ/WpM42kPG8kM5cT/IYF1R/TGjgGiB6i/qmx4pRenL+NLSzgVZ2AMLPLkBF/2g6J1HO2PPoSzsoL77zg4r4skZQeRynkoeVmntkJSeOd/jRh8pQjXkGTHvhtbr8DunNiRnzFBqFpQmSEEfVvTx6oz5DO3f9jl1v2qt52wPRfLgMNERSFppy2evvnvIs30/g/LinNKH/zrDkBO1uo92DyJe8k7+NQ0wnu/gDKi+wMqgoCNPSqYFDxwJ13tbbzlmpCzpEQbZkIRdI6yp1VuzA72ifFK/t+4uSIFBF2/pPOtVq+b3eynASysr8pr02dT62J73Yzl0l9dy7KXl6DZRsjXRsEI0tWT3Inf7rJT6B1vvVWod+BIOc/KKyanf+GevCHK2zzVOufq2nN8LqoX9819GT78xPX3X40ZXzjxLUFwsTxB4e7Ja93fMH/862vmplRf1vmMiYpmchbfwYM91wY0PjWasF/nLqn/8ZM6TBhvbFnmoX380aFHUMMxTnnSB8DWXn6c13qtWqdrWKdXRP/s9GfrJs30nv89aPLczqAqB/tcFySCOb62lN+7U3PteneP5O8NGRC612Myj+Xtu/a1N8VEuNEDAvceYwHGbTc63C/P92hCY6++b0vjJ6tT7+bGannRx8DRK0IHqbeUeP1WgAbq/o17iUJWfd173KSjhqGPx0zvuF2CiDekG5ds3KgVD/szuVo51/8OVB8ZJeUm67ZUZ228iBva+pdu/Vy8WearvHngDrdXSPRNHBEmS4Zf2MiZuifTBQ4Vzc/RcSFyeRWpt9/bfmho2DtHieOJyHBcf411FlFPSgbNBEJIP+UuNNXbN0X9e9zJHn1sN0LBWD9MjjrFAKp2OnPWe9AYiqCESUjWMh9nD+4pmJ3TLg+liw9737jzuE+J5Mwh3wnngjAiW1IzvDQnMgB/Senqt37E/TBN9g/PiWfUqV8r129ZCZ7z/9XILs0ww5bTd/FfXFM3Q0a01RpCYN1VioZTWGXkje+fpUmhqLHkaahC1NkT02T2D9pkS8873duUCPxEzE6Q4U+t6NgiqXyzeJn+sxRf9HtHP1Ca+oQ0AeayVUt4oCPS5/VuXntcWkci9MmIYZx/OMH23Q71W0LP+nu8scvhUxuhdyCstGq/tx7c9MkC58sDzJVQm+owvUQ6Pa94OcAj2aPUU0tcTvg9ltGbKaIAcTm/Rly1PJbL8aEN8V+3fWggiiYhif33n1DFwyiMYXtAsBWd6yDN7tr1SlDf0HbMlhPpg3pqAHFM0hFRzTFDfXm045bp3HqO1BZWOB7lTVvKmctqMDbgWmWFXUGCGcp7yV5t2gEWW8rYnJ0iazVPEaiXlfsGBv+/37zWLNcGhLJ638FzDwGxdWhgnnWhEajPG1HhbylQ988DgbI3B90TbvUEDwKzgcsqJwmYQKHHRBwjm5PZmkT4TW9CkFq9FjEBCek5Ka58M63M7vM8/6/bBETq/nKrDrDOKHrm8/StuhwVMrf+cO7kaR23/ibDr/MRxeHdG7+AOknSFqSaHF4Wo39S20DPJtX+77/zeRM3qK4oavllEPk/e9KodMiQbSAKm7XAzw/GeSv4wGs61cYZ5zwXmGtAOSlDN3TDesNfvluzrEY3pKxIHZ862Ql3GOhdkR05uswyptpWMGidl8/NTSMnFrkWfYPVVei/m9cnqd2dstOA0tdicSvyHNyXXfwxq/XqRB6P9haLCXSdKbdRRjy/I09nNoZ2v++S0UIYgLGQ/kcYtHIvuc42lZhvWzJ4iqV3QHoP1fJ/2otflTIgUftyv9ZbltOFNXNnnXFw95nENh9i70jrKFFLDmdp4sSePjj73j6Nzmzd618PXjnZeb4nR0jm/B/68tqZF3iLfj69YN6dmwmKQH7LqHAML/xM//uvo3DtnGz199kfqcW4a0n2jj7a2e3eWlK+ICjiicrrSJpMvkRYne8+cig8F60NjRIF7JBe75Ujt331NRmi8Fx9BF6J52w8kmNfkNCvKkFfF0j41/YGhq8zp9BAsVNcvJGOioW0yZjqCrdKaK6PRVeoiqYbOAeKma+p4zaDd5EXuWmoKR4S+PDhnQdvS1yYXupBxPj+eoVlCwJDGVsv5nO7nmBxxjenXzGmmF8xftZfSHcoXz8qRg3MILgyNeG2yhoOCsfzcZH+ZziH2Pyj82NZzg861kqcpdVVSqy+IcP9f7rOUdBmpp+c3uYEwaLjAMUeYguocXucraY09W1Mpp5mTx2ECVo+8ds6hgEZ7SNHqC3MwGfcBKcKsbkOkO1ZLr0M0RUlbl2r5YnukrE6Xp1eome3+3OMl7fVFEcS2y4FGRj3y1+nClAv7M7X3+MRB7aMhqe5TdYCmEbqE0VXuTX6entWedcXW45U5JVKdRg9yUp6XvkPmVRHz//qa8sXnzjX6YdbcSDdRwnYZsCsSpBUWmGNoWfhgGwIe+X4Pg0HF49aCcJOU/onRyN9Q+6iP1rzBSm+VdyP5++6b/jIw4q4tktKtCcx/vvmfbZBesXKKX8uDhF0fWeQsf+GyfiLEd+WpKynAnDxJuUWbt3xe+4tSotaawOl3C1ffJWXBY3nOgog8f4/KkHje0n1qxKAHsGiB8Hn/+cF5Ducvey41uT/q8w7LAHi+DduARYM+HdaXTWpbKODTA9kMwm3D9y/KI1ensX3eJpgJkWaGPnyzBEc0qiWk1oyaKmwYZPmpFIH+tGMDy9gwZEOz7gzxuh2O43U1GUKfIrweW8QvHyHC/GbrsWmRr9fqT4uohKRwRvewT87ET3NC5MccTvAeKBIE+cS8Vi3Gln9kyjDBwsVIo9NbL7CO3IILVPm9mzWrmHkof/IsLkQnZVTP6WC8OMha39xPtu5moYpkNeB/INlRIzqUepUEvXGANnjt0f4r3RqXYamx9QcqMimI/o/lHEOXZ//ZlDAFemm5zXeklG29UiUwt1rSq296eKDnH5qjBpp77vE3l9ObbfTlIB0EMvN+V4/ZaZ/pC/oALKaOVYSviQZjiVz3WI283fQwc3SibtkcY3NQfeCVGaC/pOSgPrdE0dTDVQRMQcv5KbxHyvhB9/u+CEAcHuVW4w5ecl5/6DmMSOMwfbt9MvP0b8Z1mhXj6Ko9HF9K3LaJZyAvKW879yz3j16dUpm9e1XbTo4GYkdrJo+7fArqOQvMPaACX25f9ykqgAIw3OqS/1LEv1ZOFsV9R06orlmUmmv5hWcd7fiKpQao8NtX3Dra/ezrRks+a7HYx3OMXt1M2I0uvmv0y+Ry+QiEK8w36+gDQe7GD558Z/9Xg/0nVBfuUtFgfKTSPU61oedHl4JYfVK3sfHzjWtkNUF5Zo66EXHONF7F05Ivhk6U+4/DNMrb52Dq4fyT1vTSGmUoO/tjZ3CXjP1ypURO6T0HJSPIg5d1Lx/v3N41tI+8f3Rm5/z1oSVX9t7PFGmpJCDzd8ak3yXHncS/s8hs6KPbI92dcDGGsyRcX86Z/35r8M3Kzb71moUGaHimo28actNbd0+PKDXp3/sFWUIP92t/XjyB3H25s48FPEf6wjhAOhnpcFfM7u6BvK/Wc0hHHS1904VfcG1OxM97tlciNGVwjm1P6R8M7Y+UZz+5s/PVfmeAy+wZXSiXC1pHR+AdvKRZwwMVvc86sLPE2GpowiPlozGwN5Uq+H6pnONaq2cKQvoOwYxDBe2TJvjO1CB1QMU24xTQc3gsrfO6/b3JE6d2Snr+E0K6Oifg7tdkaDW9eHPBlXI88jWUX/a/t6ULv5szyLf5fs76EnPNNvp8egZfwyXYe/jRejToRtaa6Jk+KIk+4zvt2ZdzkJQqTR/Y/Y/V0b994RRlJuvlLU2+QASH5cGZj/exoi/9XCXdb0lRf62FfFEbgMH7db0fMyYUynJt2jkJ3p86sMODtBBPTTm8sQhT0l9tl24/96jjTIGv9fh5hno70POyLazoEJHmy32vukdlNXZw7hZq2/qX/hD9ups0+QZxqUBo9LQ+X52YNno6AYFXHSzwAMVwRgnyN0ac0GuTkVqv50JgUex8W8I/eHsT2L5G2jd2b8e0SV/OGdA0/d0TUKV8nMMr6tK+8U99xgK6huSZS9I7Wq8r8rmr91+ekcKqlKuTCyUMeySoS7Q+N2eI1IAhSfGeoAwvXHi2ofaWYTwtT0w+mOHVJONpKTA1pAfpDJUj4uj8MYEDUcjfXHFH03ESqK928J+cIC2Vl6S71dzyF0me4fWvSUmBpj8YWUKNMO9uGK7cF0AjkLTGBlbROSOAuDB5riFkQQN8sP2tdd7hbTug8u6cpfcVnYH6937m3INXekOfARlwKfIGcykHoAz/kDJiJH3m9Ego/0piMTKV/FAWmOKIITxph/tHHSADmXVoWro1eV95bs8mUuBU7Rm55iMxRY/JuMixvaFyC52ByAnCHSXi7CI62FdO5WkpIDD/vzKwgzJLFjX/08QCiWTnHJmPFu39ODlYKbn+XWdFMxGRwy9SUD9JlqdO/UlRNubw1VjZKRloh8gNHMrwrxi5hOF9Ws+q8bjWiP/qEvFohacmkpOEdPLHvg8KIi3hrBvO7nzrMGSSFaRi51CmS0NSRGDWRicmDuqapqzkxH6OgU6mTmntkcukjvZv/52r8bXw3DVVaJ4spOekn9w6+v49M4y+tOHi9SAOXsyhoNigNp5PnhUrdoGa2Sx76y0RfWqvev38o48EC0M1yNK+7ckPSyk8Vg3x+Hu91mxcyJLSv0WKeDC87yvqVav87EoK18rw7DTx/HLNIjM9ps/Hoi8t9fjW9VcZhHfU6lWDk99caYRfSEdyvEt5/t0687+ardxwZ+zonI/dOosH9dlyh8iUPyp1AiIl6xsiQeEEdM601vwzsk/6Y8kcqdflZF3WdwscOG9f7nNen7P+sfTD++oWdnWGlVP1uRACOc1zCmocdmPzFAEMxsD/gdm7d01v6Mmluv/P5fwKHHAw5u3sv0ef5KLOJzYt5jm1XToiwz4QlQZuykxDO9NNl354tE6NgeRXOfycCAGS8yr/LthB7HvnRP9lY0yVg4lO7ym0lnOWkqGPDHV5boiN9NTQBpGtThZuyYAe1n2snrw5t8enqwaD3fqv1vq9O0f2062pMq87+9ma6XFtU3fq/i5orT6Xw2HQAoTF9305x267lSpd7Hv1sTeS7yd9p5GiZKsq6wF6hn5wJMn+T9M3S7XvYPIHI8DNIU/b3vwEqtgz/r+8pttPjDessPyUbnq3Fk6ZBaYjY6obEYER4svvydVsmsFVy/c245eajDEeTAsG2rmw/AFVxe3CZUEAs2VYsMJ06DitDf1mC1vX79FNmy48FHW/ofKVH2aoQXC3lMvQNEHnkT0moi+sORNq9MP8akJm/ud+KRLR4XPqGqWZwk33Pjp6a5H14gk8NhuW5HL9m9JEohE9XZ7BfX/GFGv12P6NHk54sfVek3JRSza+QKWiQs0d/jR0JaqRdAocy3nN6rcW7rUaWh8JVuIF9Kwo6Twx8AmH45V5/2jinAtqCcQzvlDZ/QEJWlPQK0PLA4cYgF8JLigUwQT79M2t0+kRV2YtDGScX57B0u3KKDLMWp2fQDWIWNrJgUmwleUjOQwv7Hl4wJe0XozqRRmHWTrFFIR5leM6RCQ2efn7M26GBLz5STOOPp1y1Wv4uflSurBsow90jg4F88mixRNSHkqkwOuITS55GtDlnDNPGbzKf9cQYHpCTxk9LUVwXtHNKvM+GJw3dS9+1L2/KQcHwoBYYpi51MZR5QjleeVKwYi84ePbj19eWYP1vG5F5oeFBvgMuRrw2cF5zq/sMN8yz9SuL9NU1vzTbSFvaS4vjyR3i0Bm37TuNB3kpzFHX5ICM1BaquFFzSwd8ioZsceFLnyzqGmn0ICn5kyJGMHcHJ4Nc9AOSvn7b6lvkTSSGv7DY3ndZ+VcaRLwxSIV8JmZqgtkKDCyRecMrC49EAiThq7ps41qW6PcfCn40a83yqC1dmTOxUgMzljXekWIGjm0faMbU6TaI75tUq7ca+apI/67Xr5kkfkjozN/csvoCxfUYGLueUdfCCXTNvWoynU+V/72dQ0I0CP7T53T2WetA9CjUwaDAg6WKrFuu6w8z781rr7T/rxwghym3MYabhu7V6e4L3QOfjU4raPBcfD8Kh1ApZrmX4sQWaR4cbOWd+pZ1m8Wcsds9PSe+YBqc2/LeP0oOZZuAXOS5S9nqDixF1T+hICGeAQiVjaHu3AsBzOZ+EZytmVGReOKv7T2H0mnyKOu0r1S7k/rOXUdsrqPZHCkEz5VFAwtOqCzNVf3uvZEaZdhEcg+HIYxz4WR+nR67f5uWCtEbUqxiznNp/Za5X08Rm1KP1RErmnJ5Jp3em+XHIqnt2bb5ZQqr+H4QCjM6ubkQ3IgND+8eY6BtYt4uFfGbrbW502tnxF6tNiL0jt4K8oEyc9QQw3V6ftBymunr6W/GMC/CW+6QJMXCMBi3cOlN9w3elz670vdB5nDJH9GiAcSk+ln5lzrN6yUj9P7ugiMJ4RWfCFddHPrm/8z2O1xG17GnEHmQB8V0soROfGPVZm0lyYFbV7E/P/auJLPfzCwFANh0bKMoLL4GKADFJkSOygFIo9BUHhg2nupw9q+jUIaANsop9AQWznLsxK+z2Rgn5NicVgp/1+2cJ9JSNXcIS+smUe0VF6n0gURo3pEnX12joixScrad/FC2C2elVIVBKOLilr2/W3ssGCE44Msluy1CuK1l6Noz5AHzoOaGfbea+YqrGVsKKe9EuRfdBh2ysC8BBPXD2GEDIFRX+2qhgYH5xmLJERbqPArJ8g7lpf+YkqMk/CBhE1t28f7bt7/F/JIPQcHQY7roKC11dtQUc0X8uJOLyeIHfmOovrpDefFzKNk3pJy3ascksb7hJJAKT35WELt2VyYeYgRp/Z5uyTYuqpsnVPxieB1MKTcEChU7121pfIjCs5dchaMIVq8PaAofpcRfnFKwOc6uHKZoG+HgNCCn3WHosR0snJvnktU9f486dd1zxpwKE35bEJvqDo4yefbO58xJqtMCw2DmRCNxmMNx8Qyhl9uGZkB5KX+97IUyJzJp9yiWcM84Y8WZSGOWKNvZVguUjyeI0VuORlj0tSOOQKDwkg2QVfW5LVBZOckX+9qnbSFe28y+IuU/xPn/McOLZAHsj+1EcE/XvYSuWRzsFwK6ty15h3klrE/94+zDaxm36fu+nXtvYDu1ZHR9oiosoMBCn0kmZev20Xdd5GlLjy+Sx2khueIg8PM5LxuUeXkSx/VXYO2L0sexsPed06pqV9E5hj2sf1VfrN7n49nsWschPclr+Bz0YH1hNJILYydn3E+2nfJQ44HdnjeL4FLq3d/gWg4lv/4WnCumUc7rL9UUfCjMUnvGs07V8SplZ4wGDBQJja8XNndhSAP1VvwN/PNM5q9MZPQAzoCSnP/bbeN3v748o93N994zr/Py/2nhf+nfSh33rPQXZ9Nx/xqaKFXREzWS7fMmrZTVz0efn5GzuXZGUZRHWSEnLyn/P6MD89cCUgM9RzmLXo2uXpkGk089nzOPA05vy1uw1Qncr16nW+f7Ax9lntmTho5fiQGM9Rs+4zeVRkzDrPoXL2986BN5yfbM+jgnZU3gfI5pIeDX5OVl7TvjNL97fvekaDOSq4fnUDbEAnJOgRozxfOW5/0qd2z+G2+mxzd2Rl5Vnp36xwNDUxUS7hEfu6FFGPCvnflqURKpYX259oivK0mUkP+DaU8KodNkHVJNuCWgXRXu9L0k4BBGvGOZF3vaf92tmZTupPOwpX5YCjapTmGP8e9GOdQJ/btrz3nNzWMcU10YtKgBgFLMxpT2FbP+ft93/OZ5v+OUTWRdpMRh17h2xTUHVd6j6xqb0pPjK9xaaCf3HRftcQpniNyaJVGmlFtQhJezP/L6x8MLAWPwMILATdd08J8MCFQ+K2OkoFT5jHvLIrvZ0053DU0avYAch0fz/BYGPkfsJyHVUKh/tSkhsGDkbObgIAVZnvzb++ZsYikKC0loA73eRnCSxI2rfHuSCJ4tfK+PHt1nJQmIflDr184zbrh02YdohO4O6jmwAzEe7pn9WeHRyJh/DYtFzT2xn2eP6elkL4Bspjw0oeF7r6fVU5ptwTj9t53YXmaH/YMT0pACZymA5um8L9a5DN/kffllRWBXORv3xZU+oaM+alt4vMiUzyvqOQnEVT+0poumzI/TevCFJ+6tMe6TMKo/n6Al7Tz81yivxfn+SKjrF7E/IoUthzf1kHQShsQb76RAkAYEv0uNvvso6s7jLvnnTOMZrja0/FFSbtAkS8PItJ79tQ8Q4aW52dAsXpmOVpD5t8KIgLtx3zUwgyUr9Rqg4nmFmBhBmT2DPDTajs2f4cFaMFo7p8gmxF5ULAXpWTuKDlibCkEBBrsRjl1JSe+T4MFTEn9Qv/Q2uvzq9nJpzI6vP439m+HmQFfIUdgheaUHoD8057JkV8Q2WfRnpfsgt9F5SIdjGsO05j5Cdm4qfXdJ5mS5xwGmwfpHlge/oG0wZy9x397LwOlzRpCmPses1RFQ9ulRLV3M0Diur5fxOxacd4ZRt9V5xhcPHuv2yvnRzT1tiB7UfZX1UWmPH6jlKj/LZ28qreWh+RsepZTW7O3ZhShCoYnMEKTL5EIZILiVDd5SmkR+fOXB++u0LOrs+XMQiJ2bz2RsrCwNbLAcN095WqNODMY/L5Ho4BpLw4DmdBsRkOVi5I9tefHVFIy2cB638Lz1Ihl9SVTZL+teX7zUc+/YbTtGouOTshhna92VO8oB3tWHIblmvg+969vGK2+zDyj97aGbz7uks7LTKOlLz2y2pJGHSbHW2655eglL3lJkdB/pghNo/pwiID9YgCfXa5NO7/zk5d9I+xMPnq4Hxcnq9ALiM0usYfvTqaULyF15moPs26dg+tD0/6SfICkOZ9fR4S6LthbzWxa9DWRx3BDQMYLq8XuvUiJZ/S9b2qtGETdlV7VWTwmnWRW6dvaB5DsJ9qXSzu/ugMZ9n0x3kmXCVacGEx8BtTQhh8FA+uupz2n2tI16ir0h3tnGUp6XMoKF+z7vxe61bEYzZ+cvTvHbLecK7D/n4NDsMQ1cjkgB0t5mxKaPfou5E069x0TLV59nve4yNDZ6843pK6cwRUq5Vy2M6pCBGqj6T87wNiuWTtNiMFzCl42iQdgjq6OVAafDBuAvk0d8TQmOay66gnk8Hu0blTjP1uvh05unEPob/wFsoqQd24tZLfJQdVvXGvGZ2WjpKJOz+ByTkDcLsYUr0ia8h2dxWf2unGP8CGAmY7T/E8H4H/8wT8Y2LHSmN+adsaOX3veoVOMy8BgBm2RjKXpK4Ry9Sj8PHtRFQO4eAu+VIujO9LsreGiGaWj836w3zZOOTuk30jI7uqQ3XVXcKlWhb3/koTrXbf8pSk1Na6oLdyGfcYbSoR/uYUaw1UgA/moMXSp0YQ/42uoFyyC+/ba81ea89DowbSgHNYsMyZoeS5PyDPYOyWufZ/3uX+w7Dcm8gFTscCpCXR1p+jjD3d4RGyHZ0yx3NDTTfTxypenqIy4QpJCVECu2bFoQHR9esbRGClxBqiQU4VANiUtiHikpGB6F2UpSX913y8X/YMEn3OjdR/ygk4pL+j3yClGQ8mpLtgBUoOnIQHHhvJ3yU9ryDC+MITBSJMbofPcN2pfOCW8Z00uBsOWYfp+xuRNQdGGch/UHu6YZ39h0Niyx/559PyenbCbtAN2W7NDDno9J49dzTQP9HKQdoiHbkxXZnDUDW8cK/pp1cyqnzRv8abu/2fg25oYPJJMyEExsBT8UifeMkBVmxcpYyzv2lobSIHYpPvK6zvYZ7WWIgfTb1ABED7Ii1y5ukAkBsQj8061tuO5irg999vLSSPE7IDMZHhAn6WcwXAFHWyQyE5Ipi7NQcJUZ4QYMWQ1TGxnRUR6t447Kb7Neh5zkvVCfluH/isZE6jOj5PbWUu3rJfMgYhFOEgemsFzVF4cwnFtZ+f+9gDcaO6uCFE99Dfy7r/eGQCBKZ0DQWNST74oR6J7wC/uield48L+DYXwPBqccBDej5kufICCpIB2SYFiPLsX7e7sv3XVaAVaM76wprWCQ/pDUnMGlAC5ICOMN0LS5ItiI0vL9p7XvnSJ0WXX3Ts677vXjQ4/90+jd6y35GjRJ9QhbmgVWFrolntHv29R552j9oJnnDy6/qhDRp/aaefRmtseOHzkFVdcMdptt91GV1999Wjbbbet1/m/blYievpZOkJ9+/0zNLM251c9/cuqR35lz4zRPplb4DveOFHSZy3maO02S944MSBrREBO/xsyQpTyvs+eY5A3gchAKDKtqIhY5CqH6ZwzzC+PCHhe93GBsqgUynwzq5mOKXvizcGwsw1DwB9tHaXcPmHmtqv1wPoH8zrXX6wRx297nt1yKgfCZXqLkf1R5WkCEw1dDsjw7tN+HpNDr+IAHI2rouHL25463+g1590+dJSChi3U34IS9drvzcl3MdxLJ8ccMlUXX0q+OOwuel2JpHPgUo/ud1AZaSFIgdKto3uNtBZnRgnS81SM9Lk62RkfR6as2UGlCd5Srvna5Om1yQy5NRVIlcPk5tC391mHhD6sntxyukXNb49hbmzgN6GSGeGNOn+rtMbH5nyavb1IOuigdC+HAwHUubTeYwNrTe8WFF1781BhsGnOEN2Pz2M29EvTX/+vrn/Kwb4tPN4GYH+avFBzuEF4RIe3pkxg2oTxhQnr2NitXUcl0eJlbfBWPQxj8+w8HHMbX5Eg/jylcac2hynB/fOwdsg70QJO7vbD329Yckpu6RQIQyIysjC7tGByfyJa0BWSBzaeCfZrt7jyqOpmxzkyLMLjiwg0xcd2lC8kVLxrBePq77ZIKHihLgYPBn9seViDmik7JAyDnSlHMNaZ10YkqjONHCuGn2jlmpT8o0NbvOrLln94yMOOISfQJ48IG05NI4HWVAG8QqFtfcHUJvOPZWDd0w0dLgXS82X4Nv9u9913KbP4TEZvm9YJnV4ebp0Oz+0xdTWl4IhQWtO7PJdcuoOy0KxTB3KbFalzEMTBvh2XgTk6QZ89BbNOB/+o1uS8IgFMSuswAA2WLWUMrtS5CnPbPr8/mFzeVVnLyrp0dZiNvDOXlrK1xvsVUSzbPr4r+RC5/e6eB4e82ZW3R6ZIBj7SfSzffYC3XXwEudMnJhOvLoWwccQcEZk+wi8zrq3v+lgK4b4O6fYUUJDeW9tnzrGc5eeTW3XB5nnKC7mgKS/oXkTT5EGHp/e3nnI7UgYfDK79fQrtzz0nlMRef6q/N8wYXnFHZI8Uk/FdjL8a1TcEif9eo+8W5hvJqRyrEXZAmoczGnLAjP37cno4n5flSLw+T1ujdWiCoeHgKe3+dDFjGXXGcV2VzGyQgkEyfHkM2R26P6xnSkzjdzlAKAguoUYnK2Dz9r3OCafFs67Yen63aOTIlJVrk+RJjeOnqrNEUsEZYBCGTmE5Ux+KYDTulywSs5Zg6zWSNdAwRXnhTeXAul98DPpBy7nJU318D9IU1OqM5OktwY9Pz9DedV3TT66+bXTw2X8azfOUBgY8ac7RSguMahla2me2Gqn86jejP11z+uhd73znaK011/ybGK+00kqjXXfddfTXv9awZHpNsydeSVkbQEJOQd9fK6f68zumDMaR/L8/mdy/ksJfLp8ynm2qkSbX0lwaSuAxPD7HWNqH7EEyPp6Oen3OIiMjJ68MTL5dC1frvH+ISfyhv+V/faa63npPVIMaRDrzrKOfdYa+ss4CAzz71vTqPJ05vJDbWl96SDniNu0r8t6GGVByRc9CxHZoiPnWERTpk5+lPzlAegdgcBoKABL9fvuy4jJT4g3cU2RXHX0yg9l/4Y/rwtfrb+287m6ISamgX9z5yLDPygm3TI7JJNL5u0ulzJNMuMdD0w16A0AYsczl6l8fd+Pw9hL56uIZHhzy0HKvdPAw7av71A0LGvBBNcI922Y5tvLF++esXrLxwoPeRj5FKvx951LQsNmFdw7lRH9LynaOIJOHFFV7/gN6ptNDRz5Y+kkt+XgC1kI1/nig+3tX6yZdiBF+YPsLeaFnQeTPal1MJrKPiFBjvNBwATwfgKWe9VJO05Zy/d82tP9kYN00j+zxj5tSTrN6t4gkvD5h/+UZHz0jsfUUzjMUcrZgBHmdlVKI51YHKsb7aIrvnSblIBX3hBelXJ8RPKiptMJj5CQC9csU12q9fy4MyBZgviBfxnu9xaYOHbZIkv4Mmpq9+9rANdaf2jaQZzc2sDbZTFmK1WgprEFNP3hXitG1H9u+13ymzeBhY4uqpftwEBnvcLm5gphTfGobwbLyUv6sXzKdT7dAipmSO/lPNcJPKR+Qtwfj9/0U2lF9JwIDsgJPmqJfrzKQffNwOSLXJqCvy4saai8f4yIIe3ZARFozJih39Z5dW+dXdSDOT2kckiH8fDmH/VOeTw6X+t1t9XXtGc2dNaVENDm+KJ2LUjr7Tgw1OK/+uTArCtGoq/v69z45K0qlvAtkJG+8QZG3oP5l/dwhe/vJt47emvL1/OrV3P3UEXcNCC9qwrTFIDSRZ+xogGJFODzJp6ZU3pYBPi/l8NQgI+0mT+szftk+2cPl+6wzIyFwnMYXiPWODIncyx5t8osznhfmUO31s6m9Xs1ufXOyd1EKTDTJG7UHPPqrOzimlRij53CREemJY2os8o2igo8Glal1xBdYtXU0EQekfW2K+N3l1zliPo9iXSC5Qf7QyeqwDrkRe9SztVC0fkYyIOdKeWySw4MJrLZ51xXnH701Y2psIZic9bsmZ0XbxU92Tk5sH5+VonIPcp5DrcPUlw3XKWvOO0QJiux1BJOWGbfdfOZptw7scLJI0b0t+G/1IuiPd+9kfZnKkTbtufXX/uEdsWJhegmp3L72pyBqxf6L9T2aJ1xZRHFx5+GNyZgOO0Njg+7ZmT+7mlcX1EXbSixU67JpTscfNlnon4yrJi7vzTCt0jnSO3nv+pPPnkG4dI4cwOVKF/369qFr05qPX6Lz3SzeextR+Ys5Rn/8/WWj1eaoCf4qz/ink7Hqqqv+W53HOCw91+xD3hWEgwy3aYYBy5wcaAaA5IYfMr50f6KMSR1mrF7Yu+csSpF8vnU/q/P8sWRlvdGsA0ysgxUFjumN/HNIKQ+o2Vfay7hag47DmN4zgwDm3Kz3vCkHDlK2S5/7q4ziu6uzxgv4Y+dPG9f9CxDA/giPegds374xLtI6ouMX6J7Xmt6S/H6yrmafS06/kmGfNRl9U6jNn9IzP+++F+2/zZqGoJzSWdooXgFnWe32T9rTVzS67h2dUXodixqxyF6dVt4Z2czQCa0i39ZnfhZPIAKlMw2iFuXScfgtg0PW/0HKOP27xpPBmN6nZ8abwNbmBGBpc8jXhQbkzFqbr3X/O6Rj3pie+F2NCRjk4+vCNnjSrrIqiHd0xjbdz5nd32tzvrXClQIbzka/f8mTZh+cIyNMPx+JUbmT/xboMPgbLjFzPJx7h+5eR0zq0kQPmJi0afuiLSe7AhqeXntDt4PYqiMX1BVi8b9e/2RgMdnGl7Zfe1xR279cHeUoDMqzglueGDNxq4wnQbijzjWfSGkcHATwqqAZkMzry0Ua2HxwC4tZp+Xc61IICCZuXDMCERXhWy9IWENnHorDT1mNyzf87UioozJ03SXCekmLOq4XHPamz6HMnlRnmt9nsJ9cNCFKkGtTVqCd2AFBeyj/vHMwKm/3S22wZtPyyHIGLpt0yI21aUswQQs7Z1y+D9ZNAZmcMlOCtFEbP/5+5JCDOowLpQR1p5lh2eox+9mXEsDNEybfRbl9pL65WySwd/SQSoCUrDAK2KfOvWhXtH5YCn3rvPDLEtw9clIMYf5VxghrU4kNmOTxbbzesetFtuAp6rICVdCkQ27ZYZOLki9DiPhjAnXGdfcMLezWzwkRtcolqf3lreYUZgDqnpOxmlyS8opKSL6u4XsR5qcT5qF+uehQdHp90fOLipyGIvCusXH1b88MTlQS9YUOzMnld907OXp/pLcXJkdQAhHSRnWz2qi13y0FOL7kBUFeoiWTTAa92B/lHrP0GdIFBrg/NznwO9/nwIju1mrPdZe5ooJ1yIu3klNRlzIpRgiUBW7zM3/GZSzGNhpRaC3HXZXckzURtZ+bgj2ltVg7z/ckxIqcAt3Flmk/KAJt03TA0RRkp6Anh5pS0pFIxzDda05XcJ/wIYmJEqVXft3+QlE4JvblWQ1ev/z2zkxypsTH52gLp/zsvSkpteSMK0fREAVsU5H4kcqNOj9fas2/1L6D6HQsuz1IXltTJXMcPArpdjKRXIpa39GzOesibLk4DFzfKdp5acrlpfEJlsuBc+4vSR7eksNkDSdf1kxzgN2KluwzKN0Zm6G1/9iz5h69cO55Rl88u05ZP7t9dNxFjWtcM7Tmt5ePbvzZ5aO7/vCj0dJPam//wzzr5O+ld7FFGcB1i6oWKge9W/qIToAeIa6ttej8/9AJyp6M2e2Y+yI104QOSyYRPe/qTOyboeKwzjiDMq+pQxjGRMN1v3XbwOI3UcZIN7OiGdE7ki39hBfJ+ZWS0C1tpxyOz0dSgkwxAkhMpnYheS3bOmHzY/5e12IdkR7hvDGy9M9L65p3QfdvTxFETZKhoJRYqWowBe2zRZdP6nOVHSIqYcGDmN9a8x9nCD/ivNlD+1qTW7dceEgJaLwilfWK5OuQAo5TytciwhnqcUiv49BZh/OT5Qd67k9lXN+S/L6z39NRkCt/rAcNLRB6ZymkY1409+iT6d0vkcPEQ6Q/c/K8Xc6OM+YcsgcMPYdxvr5IOpawbZuxlnahT3ec6JWsasJQAY04ls2p4fRrgDEc+P63VfldxD1n7is99ztzYJ7ZoHn5VdUikydYceY5DSpJ6AEtV6d3ee5zWvNVH18lSTLOAQaXe87/pW5/umU64y9mLD20nOs6tY7TMm/GFm2NIj6Mu+PbPGQV0NOtHWIkCEbt+xssMHp30ISch/Fl+mBKWINghr68fS6CBcGlABX8a9EGUtwlwXHJI+k7uViH2mfyrp+7UE0xUvIILnIA4CiQzUkJ2U9TUjfkkc/Z/W6YgpB/46V9ETsvSj0o4DsZyAPaoA+0+Pf1XrCvEWX+uDBveZPa4Pl+l/yXvNgLUjL29ZYU090Vf32zA2luqhaInI8jgja+luFJbkcLJvA/L/q6pO/gNQ+1wWCovk/ruAMVUWfoPAc4WV6MF44dyjs+J3YjuFEdsZIaZTigG3nww4qCkK1AkF5/SoZUoTqii8jLLETQ3R/6nqf1zH9JmNWFXdvagF8oRusmD8kz4ym/MWWBpTqtN7dQ4d3JRTGY2RQSg/Kknvu79U3+9DqVlyiX0sft74HBP8gsudi4vZgHca7704tXlPfdFMNXF7t/YDMv2f6KyDz3+PpSNYF7NE/0wkgMJ/ecu2WUl4gE59Bultz8KCTlU0WPoFQENnKDwKYb1fqlK1YORUC4YiSUc2Fbu1eQLCOid+g2Zph2MfIUAban65nzN4i7Q6YuW6MXcvvKBmdTltbzpmA2zgKW/IGNSnxiPASzN69JzjF5GRf5Ybnk/doLUeoisz0ykAfBUhjRBwdHG5KtyTuZss8btlb3JnJyuGBNjqioqiZPw6CMP7Q/SrEogKuSud+0vzsWyZ/XeoiwXtIZWiEHQb77SfLFfY7vxCb+kGEHfZGRdacUSchPcQIu7M8Gfa+SFUO6vZZxdVmDwzvPAoy5+xwGhlFYrPfy/Mk8Vv04KDy4e7o+tGvOnp/heUbPpM+4SS7LRoB5UuvxnvWf2JixmsSfdvbo/CPOCA0p+hjV1/X2GOi/+Mlonvk+Xs71Q6N55/t7v9gHHww1u/HG0QILLDCQnqa9sFft4dC5pzV7oHtcqEWTbtJy8sOdjzfl3O6Zszo0BekCJ0IIlD6Nh2BInXBOEZTWaU1u6rxs/d37I/LFbE7Gvp4u+RouRrIjBbJnnetOKpXySWz19MB324fLW3sTmJ62QO0hczDxHaABoOTZWjPTuMDzr053gV03iky3XbpG2z17vEn3Q17kG63x85Ktbdqb3ybviHp0xN45N4wTBjpW/Or9fJOJnP7RrfWNYFe59r/eXaQc3yXVc2ZOx0ndPzYNR+qyDeYfZi2/t4j1pT0nhwN6xym/vLP5zPQ7ktjGOQ7KhRDkzP9+YevCwLr0WT8lvfC+oldtW+dpaT+aHhOgmLhFLrRZ/I42sJ3Pj/Qcn87xOzjH6xUFKxxicqc2nJy6rwtbP60qRbubnHbL6D2laAbORY7A60PuVFMYn/iWEAryvVbr+OYcWQ08DObYciKfLniZ9vKMuBmcbnwKbTEFbtNeHFUE0wXbtHH5pDwxMtqY8PVPb/oXP/iXBnYykUgDd3CL/NS4OwplAT5gJAjsdsFSrDyjxzMi0EcHQxzTRogItpko7TgupQ5G8YAKgiXBT8h43Pe6xw/EAhA0Nu2lGeLzOgxXvXLBIdpDqlEDaryXBeOJY5LqbrIqz6rvOK6NX7rNwuoVJbtXCutDeZgKuOfq/Vt34H7X7xdlWIPQkE9AHl/vGZ5cOGeDQMUusDPm5WwpT8JvAPtnEqSPB58yamoDj20DEFsW7XnMhvyizijtnZzNz3oW+ZanF22B/BoDPPpFGwh2NNmHN+cganIN1kDfRySZP6a2yxqBZ1yexXoPZTcZug/nNR5WWQwImqeFrMKQcGA0gfhC3ug1HZTvID50gChBcLi83weKGBk9OXWKCTN02kunFOu4eAeas8VpQcC5NUXEwXGNy4amJ2OTIWu/hwgMOaCl5xl9K8halHt0MM7pHWzGELrA6CsD4Eh9TDtIBzwFgWRxasprvw6ouZjYjrdlPMGA88xS27Xy7xf0mXO0QB9MaXmucfpAAw2XIdnjqBZpyMWjnuwgWG8HkDIAISq4XyejLXIEy340uX5iBoP87tS+SHV8udd+OkIZMhTWOgMmUqQQv939bRnSsG1lHxwbpW/PeMLjhpz5ob12+z4T8Q7UPEe38uTKOygxTq3v36M81su7hzkSeB79a5LxdWqbyOFcM54Dw8nAaO354xTNQj00og6FyLk45qqJMoje/4wiY6MFkWHA3Xv0LBxduUgQ+tJ6Xk5cvt8fLVTvLM8zQ62XjGicYfGgvM7cq0Oprmzepokxru37TjWm8sZyn59ONl+RznhZsq0JhGvhGqG8aP4/jva78PDRnY9fYzT3U9aq9rqStXtuHv3l+18cffaLJ43+fMd9oyO/+Pm4ClNhua9+9auj8847b7TXXntN18DO12crX7PXoOw3lRvfL0fSmQVnn5Wzul9OtRzi2MBK49g/taJ0ymtyUHASrMtP2q8NqpF8du9Xk7pJ600W1RezGpucf/vfat1XryUoLBQxTIMabOOZv3zjIMura/SRgzVDAQj2ORaupZIiY/C/E3JHZ+AyaNXIwKjf/U378uocZM4tGPm2dAioFHoI0Xmg+8Ux4UC8T1OVHFQ7jNyGMbxyrzPIAJT7SDpBFPbJdN9fM9jPffzUftv0oT7ObzcCNF0CEcSMhgI8K6LQ54pANRF5XhH0Esf9ufnEc4x2LlLUCML1lu5b17Q9k38lZfQSJEvDItyAD9TlapGS9D/J4bo+JOnEiKbXqdftzH2pddIbQJtQvQLOvT5nR0vH9DJk7c4CtauT7We2ptJOSLaY2VC6I9Id2oGqeNBlaonW+2lfv3l0aMjRF5Llf3VxZO2vz1pmrkeHfPn0DOwnQ3D94SiMr9cVgT9m8fm//NZp6mCnfa0FBzfItQ6QbuuL5aoDDM+Dd8ZTYWgmN2gHdU0gh3lhwSirTO2NquOSPM4n8yZfF0whhNfPUoi/bzASBXR6OVwK67QEUFnKA5o599+867HCFN4zJvIDyCpXZFTPbkoCQyHye0cCvEvRHUEDXRJs93NFSk/Dh09m2N4XtPOHFLuIT9cXfSs9A/o7+HC8+N6rtH/f7hn0q5Ueg3hqm/WeoLWfp0x0JDFX96sptU1yMj5SHhWE/PrWTEcnsOWfe5arciIW63m37n2gjvWeoAdnA+5bR1C2iLhuzv+wDeNn9kMkKBelz7E4KUEbR35+Bf68+6Fy5v372J7LcOczO5S7BO2I3m5M4cqVyKGMjd8YKtNY/hMJ8Ic7TCAW+4VNKeLbs3tdPk/eHF9e5iFBaS5sRnlu34fIwFlgxC9vH+QYdQ+afIkCRbVg2QVSICJrFxSEMdGg4tCcgh06uId2YG5RN5nBYyyNUrtMzVxKRF7EHM4ptX/U9UtEAT7lcX47pYptPnkU35g5KhIhx8hC/u07vc/lvweEIgVGpkW14PWD2lP56fG0jHlT6JwjQ+F1b1LyMNtEIT2nTzpCVO/ZBgOXzH+oyU1Gnp3SlCJs4lUWSNlVRK8bmppw/AbpEPsrUvT9WJ1mnSr4EembefBI4aTWoi65r+8nV6LnneTSlVFQIL3wY+3XdRmFHybvH8nwfiESy8syFMtBMtowUYLSrzEfQJROPsi/80lZcjA4IZw7aYzvtacgSn2BwcWHLDZ3jvHfDbJzsmhGwmxS6/qlZPOYnGvo0LIZAdf994UmxRa+d8HVRgs84zXldjRmKe0y50KjuZZfv4YMt4xOPPmbo/XXXX30vOc+d2ARn3rqqaMttthitPjiWfbpXE4EvYQEaf9EGpDU3Vo/RumtpVveXKQPDRhfzgqiD6fd5CLKlExAAg4aaoEfGb05QuIcPdSfU/jfLmW0UM+AUPNQ8v7p0mHf6Fxh1X4tp2fOXgd6fG9IwWp959IZtQ1zyv6a3vhDDupB/YwR/UROuWYJH25P5PcgZm+IyHTGUvUUCA1Qy21c33X9/IA+1zjKX6T/vpGeEmkLKM7LMfhZkek+IYFm9oLhBSjOhIqMe9o/juA41cOR+lb6VVRufbbLOIJlN+m/Lw+F2DfDuUXnXPRJ16ub5ihArRi1t5ciA7e/4ylzDNCxS97zjvkfHZjCf209zKv9Smdz087WcSFsb4lQhw7CwH6s0qhPtcZ6PX9ytdky0o8MLVlB2W9LBt2fyUyQPt97VMYWu/j+bhZkvmX3c3h/q1/+dbr2RXEQpLl2TE/hnnAE1upnhxXZ/mNbzH8Ulq2LgDkb0Ccpk4Xab61U6SOB47SXvdazYAgq/jEbMl059EM6/NTsFw4LxMH1LyNYnvxYCT7HxPkUx6YJ5qczMu9o4Zfq8FDQ8PjJ1zgprNQAxAqeXKdFWWzOR0dvyPit0gHdqRuvvnqgwP9CjV0J/xflEa4fycYQaCG8ZtlnrbdAbdPuGXoeHz2hXIYb7728zys6+Cu0SO9McMx3PC1Ik4G7PAVESNQTYoS+qU0/KmU2MD07YTzDtfsdZfzHIBhNJRjQ3fK8n53iApUZkvz0oSXiVMlSmO1fngn0qZzlqpSY/Mr999eeL89HMwsOB7aa6z1FU1vEgN2ryP99/VEfp27yooztJXl3VwRtr9D6UUxHlue8xwn+D66p0OPfd55TQ0EqS3lvkNGHWytMz3U72OORWPNNRMWTPx5Uo7j+673v9g6e6P8vKR5kF8QHAqaj0AJf+/PooMgD5wTfKJd5TzXQv+ugr5ry+G1rcGDrJzrjHZ+dY/aKiZw2iPvXHTTeMAhatC13qO+uqA2CMBTJ95m/7OC9MAMkslgnI7xa3++wuXSzur/n+26H7Pnts2jFUOYXJX8bVyuoM9j38m7BlmtP0/pz/LxDfr2D/UifA9rXZAHKwIBvEewkj39IMmM4vRwb2Bl8ZY3eXrTgcD67+1gmA0Wpg/LMqwVHc8hAgBT5m5JV6QDMZo3fD23d3J8pTlpyqvd5egbtuJTCLO3ROAc8vk9NOr5Zjhc3YFcEjmTpFZ0fEThHQEMAA9M1OXm5oQBF/Nv1TAbKmxX77pTJykWmT0luz4uT8MpycdIRmOKLJJtbF1kqzRg7IYZ4vOTx8w2dfA4u17da8ogkZ8zauzWs6GdPI889C0bxuFRnWjEFoUF+RLCc7zMb1TcM8J64br35ptHlv7ttNPNCEZceNWhhqqw/+lA134usNJr3xTuP7v3BF0Z7fnyv0SorrTBaaKGFh8j1KU95yr88EZwGzgWH8PQM+0JZAo0ZVEGIVJzXaa+xAfpMjjNjIK9/TjJo8hSddmky9qT0G+W6Weu3RznCAyMYGaihBJFTt0iyYboMsuS2Ndv5eXJ+ZWibBjPrRxDlrChv+nClOD9t7y4NzXpG6/e77kcHOGUlZp6K0l70hKnOs4j3gpyjyNeDMdoi/WHimfQDKPpHGeyzyhEummyamMM43tLrOD+qL5wxiIQmDQwKlGrrZGOz9K4z/uWQFvNY9XBHoNukcyoIweyF5L0jh2TnjLfKAMQiZEr9m+Uwx5dz8K7e/4ccRMHFHX0Pvsl4lcdNLaSwOI5v7/s5jmrlydcver63dtY42gen9/YJZTAj2NnxXXLntz1UrrqNQVi7In2xX4Z7pxwT+fJjWt8L0yPfLk8OIVWeN1nOpicsggZI67MifK3cdynP07KVY7X8VJ/1Hy5NKQQy/81l5vOHq7M9tLF54+tfGtipXvvUhcU0+0AJe57q+sFAn22B12wxpgctHtVDg7DmyOO2sGjlV99W8+qsOu/4DzrlJLwOpO/4wZ8fGpSQMghRLNyfoCNO7IlIkmAePsm4uh/53OFK0D/cYlEg87SBJyREyC5vTAgsvLyw+krG6C0dhhNiEl+URzdni72oto1931pPnmPI80r0b5lXJYe5Qg0TFFd+tq48O4TzY8VZ9KW6/5d14IwDO0+OKgPwsYTz+R1KMKrG+uCW8aVn7nEOfe8jyA4cNuf51ejxqgwuv6vvA4/sGutS5CsS+18vpSF7Zag3yAEQ3RLAyd15JpZsUDxG010WZHj+eFZoW/2LaMmIVeZpvjFDsVbEkW9VJkEKrIPoBHogL22debD3JRPf6Hu2yIlZP/b3wow9+Ks3KV5/f3Di+a9dcGjTCLVYregNi1knLJE0CHfTCAtP7N/KkLZddPbR21IIa3eAGQHwuXwZL/cHf2mWZYZJl5zPGQaeYlKvq1e2zlWU/3iE23gNqXgHkKz6IxLACN2zPBZiDDa7+j510w8+fG8R9Wjo3HNWkPRXX1oddzIzmVQ3Hiph4LMo5Fd3zjRAreNL/S/je2ayuHsRwoEpBAbrTUXCivK36B42an/Gjun7lv/H/ZZTfsHjghRbPzLKjdLpB6PZ+tvXw/u3S9Rsr05M/jm2mNNgQ599xvWarEyNdm/uDL6xtMCPMwLG723X859XzbioxvrI65mlySE9su9SjqSRyBmtgQkrSFxa8K3b905m708rpxyNydDbzL5g4ppt9srMUm4P33Fn+XQRZTWQrkcrb8mxnGG+J4/mWXjp0Q5v2GT0lm3f9h8fAREpI8m4zMtj6WJstixiGiNpj/VhU6smpjo5Ojd9ZY35hshWqQd9IIVwbc//ucvvGFq0PvDorKO3FxTM23mdvbN2f1+udly+963J/JcyIOQUFHnPQ9XEp3QHA9Bn6rt7SrL2jaK0WdqjNTjI6ZTzMyBzac7STZq/rbWm+lqjME0lAlUjcs3RPd3SPm6Y3iWzK+uXnLGCPojIH+vyfPTpJjlpmM+IQZ9PRp3dN/UsZBIcq+HJPulZa6ZJix7UeDfjy+dwNkG8kLBvlqp7ecjWs4N7f9z4w/eGFEy+xmTVyakiZZP+OIPy/Bunk8/u7wfT11IrjLC/ISeb1rqS8zhvv9Nb2/D3xVuPq2+P9a+8rkDqOQxtPav/3eWZRdTSFV9tapKuT3TutMHh+HPGw13+3ef6PeScmJsPvXW6ijwivhpT+h9rcpM85MGUX4gEPtDBPyoDA0qcPPZHRHBXkeUBQWMg1O1jszGyF8pZtVnmYXo9ws4+RSoigOuLcL+fAIEpRQY8dIfYwT86T327vKnJXrNNxjQVBT0uIdXCjvE6cIJ9ttPz5hl9aCJvqdgeDGAh9QZ+Q977RSlPhBie9uF5dGtOdDaidP+a4TkuIXxVDgWvXZmBEiTTgObqv0FxBNHnLc14VlKhqYN5g5ihFJX1UQIBHhsWvvdQ+vx1cJwoy8UrNmxgSt9hczDoxkPf/5ONnd5rRNsf4H1OXCZjTHtpjaYkZ+mU4YE33DN6TYeLInFwtKpT8C6K1Jzj6rz6q3OIlGDtnUHSZUkz+fvymI9O2Z6Zclgg9ucvu3fKX2Rpjqa88645YWuESBwX3A8NQQyyxiKm/X937xAROqjDGqU83Onp3cOKedB7dSBE1iJiBtbF29RKc+ccPTWzKxgTmCCDsLbOUNpPThsDpTEGotpJL51vgLY+UgS6dp+jvMjeHdjnm1QkVyeiJj/nl8PV1g3kdk2lBBcVXXznxtmHgeqMlPQBodSZbHwpUxuPKzNCEJSqnEljjyvVNaoXtKY9v8lFN/c8a3aP4FlybF2mvUyP4XGfd0OOac/wo9Ifs3VOPOe0l7WTKx13QfP78fAOOUdpGVTCBbvny1MwItyfBWvPSimXTzSlRVnat5Pvxe17a688xWWIAiU5b99hv18VhIq4Na7J/W9ldL4FFhqt++LVRsfv+bVg4qeOZl9wyVjGNQKRXphtjtGdl583mvnea0evePku/9VHc3yRysYXB9CeMBT0k1UbT7Ga3gdbQ6xTdZEQLZN8DMiQrwang/1f1D59LSN8WM7SriFRyIrX9dk611HU/mhNySi/MqOzSaTIDTtX6t9FQgscecNoidJBz464pKvXvekZDfjfmNNKJ+5UBHwXRCdjfV9ywVHn1AsOLigah4T5+abdy/4Z36OTzcf33HgfnDdMV1xXhhRyxRiOn5kzqlpixdaIbvpsyAQZ1f1NjlwHKXCwnPVxIVHOsRQNvsLky0SglSIbcpK1FH115+K8nObl5p41QzjjgK48Vlck6UZDEz7YOps/rlRJ5zUjQtc86ebRHe2BRjfumXFbIGfp8CJBef2ntEHSiIZ5zF+0v2Vch69kF8wvhtpIl01G8x5LeJ6SQ/KlbIMLLCyo+l96ok/7+Xu2nuyjtJLBHJBOZKmLC6T+YwPrQ79cZERYwSb7tFBa103OEQ6HMiXyywT07R1cBBjTE0Qx72kxGZ+xMWZwNB2YQV5nvmDKBGidhBIELdp4RXNgKaxHE4R3ZaQRblDaXQTg0ykCXuu3WmAstp/1vRtn0LXOwwIeX+AQlHYwjBwDD4OgqsMUaYi0xxDwV/Le5M+WOO6mZrrOOBzQn7dQCBLylph1c+mIkhCv1yESefF2Meq2LBE+7qUr8kaaMrAASYjXyFNG8iGcY2FQVO7P+Po/Na7/qVaSf+OxO/hgpK3yFMEbEITTimZB+ktkvEDdp1XsrTXkLIvmwKRcVpgPKlG9XQJ+419nH5wIA9XX67PeGSHnnA7Eu4LKESAIL4LbF4PWdiil8LOi4xMiZW3XVJvrkgmlL5AH+Umwksh9k4w2zxY5a/l+piuXkgXGSGT0k5jFlAR4eoY+H9nL9JuPld/6bmQo6/21OjTpL3xTMrHiqbcM+dKF++y9ciw0qHcg9SFGXnGpC7wnBUOeGDcQlV66q7cehkt8sPXi9C17UbP8usCCH5uUxx6vOwcCDChVcaUBGUX08tTaWm6VA3Nwz6VOEuEFkWl6/ah9FpifvDhnztCbi+bXzSiPS8mmt89jdufk32kG8NGYzk+pZ96rnzjn6D1FR2bIblYk++zuEXFxSgf4pYtMHfY+rfmWE35Ca35CHj+ugvKGN0zMuf1PZW3y65z11276utGvf3PN6HMnfD6i03NHMy62wuj+5ZYeTfnxV0fPuuN7o6e+/xOjc6Y8ebRp51Y0859cItfxOESK/E3Biid2z2TcWUMCI+uM4L+65FR/MpFwOzKZ+GgOsLZ8dNWcyajcLiRPM5v1g3d/0L7aa7Wjr8Zg72dSRvKGyF74F8/vZ5Ce+VPo0l+cSvt+fO9ZMJm0B5yoOZI3/bPJ+kGtNXnbMuOHkfvx7uOIUBQDHOgIk6Dk+KTYsP8Zptf2XQ90RpSyrNG+b9UavCGH6KX9N1IeY/mtcrpTYlh7ji8WHEmvXJTu/EC/45Tgw+wcqrRFCB3dRV9z+qVwLMt16UzfdeQ1NWmpQdA3SgHMOGMOeGeOXpsEVvzDMk/t7lVnp84MMl0TCgdnmVPIGeSAe/+HOmvjJi90LSQAGUsQxgH6emvAYUEK1Fd9XBqog9+Zpa7+3UU/K4FyjUms/+49/8nvtR6VogNfm1r2tdKUHH2d7/4rAzutvPtvBJXPt1k7Zzww4kRC/twU8/D5Z90xekdKCnlAhySQ17jzC4ayaEdd2NdS7mfnofAGHQSekqgX9IvOLhp8b4u4X42tsWAdO541aINW4L1pAn/sZgsP+bHJ/SUxm13Kb5ade2okJNIcX5PhWIKHzfeJPNSjU4Z3B/Gow7SRoLrvpUBrQlTpyAPlPWrFl+JGUBLRjY2rzyVQiDUiKL1E35ohEbUi0Ghp94Fafz2Wcv1PNtRrBDMimsn1p9O+9zNFoZp2DESons138g6RjRwedWn2EImFu+wv0IxxZb/vUDFEx6SoNH74vDmWHQS1jp6ZIXlP+ZonpLSOLRfigGpG8IHyteorF2h//tCBfG+f964+94MdnteSBbMd+6Ind+g1Z4AgmBm8WhE8mBWx4OdFTvPnbSpX+lr7wBtXI+1vZSoM/0Xtt5KHDZIHjSO0rvM7dX728cz15hv9KmV3Xf/NcM4VO/fO1t9zb1GjheGQTUSi2v1tEUQ9Z4cc/Cu/D0rWzlB08IoIKw93zwd1r+oqD8zxQ2DjrY8JVKJ/5LfrMvwHYZz2O/sjF/vrvnPvCDDP7PnePtFxSkT6WBfoeYYjbhzSDid2WF9eOcd9f8rZS5Epd/C93s25m7z/oCqozpgMRyaNfKPATdox/HqWnu/YWMgieQQtBEazdXVcGysfKR7DMcBoCFbPX3i+YVydHrj6Xf+fXHPUUGKPj39itO463x5dcMFFo1/d/ZvR7POVxlk6h3njT492f+WzR9tErNugYfcmuPy3F0PA+Rn6Tluj/o/Di53/1+q2p22VOO3nQ7voAPl3JW3LZ2jAmeQe2vKxYXB6jTlySmcrBXZ0a85ociadCzNgj+jcrZ3OOyb05GmaSLSGJ5ZTZ0SGXu7t3wKg8t67QXXgO9cqdJMcv11CXb7a3kDa1BNDMUwhAtHvkoOqs91cPZdZqdIPZMz0GU33daHbvO+8pgCBCYEWIgly/ulofdydffJ8eGdxj871rsnZyzqDWncypHobQCeQ+KyD/uder9zRSENwNQQOd4GzwEk+qbP72YhMN0ccogOmHe2ozn6r2NEGL7z6pY8rhZHTkhMh2r9JH4UcW+1LFyrs5jjjMby/VI+GNE/Q9a168P0q21M5YcGcc7labRTd5/fTEZqIPNY1Hg/638iRz1ZG+e/GVI4/cxwFO9L2WNMj3I1F2uz/ysBO7yZtvtZ+POHxRfnrpQkCYFhXSDnq6DRthMaLmL0Dv7LSl0pobmszrgjGkhvgyYksv5hAUyifKbSHw0++5Dnuf3imIee5XdECggrhpXRshMM2OUKc/F4Lb4SRUpHJl8fARjuxKOiCDsacRaxmHp6b0eAQ3F4U9ro8FrWB4GcEGTCji0fGUzy8BUaUQBA7N+LNHxJ6hKjndZ+IX+/vsPyvtG/3DV7EWnRwRaO89HFRtS4lYCLeulrOPctbYBvem4IwdUYU7RmVEMgfUiSgo88HCSmPWifvl9BvmoFDSEBEUhqlthEEQukwJmsErxweoqGrDFIOpfStDK0Icou89xVqSNKswMHJoOhv63NAeQ7OyYMhnmdoKwcSGvrZRnZa79w7hlZ/m+ms0+F22NY3hSkHDhtdk3HEthvvjyShK1YO1lxy4jlriC5KF84oAp+/e3p2eV6sRuSxUny1u8sr7x6nN1/UHl5a7fYtKQmOmJw1ZGPjDOuDGZZPhNR8N4OuOH/bnDMF+DqZbfPLu0ZHVWZE8s1YpXx4+xiSyE3fz6OV97/3kRpY1HKTgXx+pTVrpryQSqa9pFd0/AJBL5TsX6JTUK81k1RDBIod8/F7/S0H+9mctTm7v4/0WdbYDGeQIm+f0wEmZRQw//coet+4db62+wODYuB/rtcZEA52nwwHWuN703a6ZMnJKsHD1rxncu3Cf6OxpnmtSPZFq685/Hnw3ruqY3xg9KdZFxy6Dz308MPl2Js/+79U9fc9wwSVylGkOOTyDq+ZDOb26Z07M6MXnigZ+le3Tx5cuotxEm/qPPw0VM40nSVzDEXW26fU1bwfUSS6YuvPqZfekrb4WpHmvZ1TjWKcL/lRgxt+EOSsfOddnUHO2CU5rnuETjh36p25/e/IyMpR2iOpFHWvLsZYKRaH54sZYXCwHLl7+UQ1uepuOacqJZTZGPGpM55c8nKqKbpXgzboinM7u1eZatYaYfqvVQ21Bj+ajHBA6fOVQj3IyAo5GDpd4cos32dC/1Y747YhJ6/khwON5KUuGvK0Z5/BwR1fnASjPW/uvJiV/e2eGaII/cQXsW7O2pUZYGt1QWuhTnj3nFg9wd+droRA4EA4m19PL+uP8JGIY/d0VkS4yFKPdeEu6PmMJKicUyOPyRUG4/c5e+yPultlOY/V4elfyc3wPIbE5JA5O5y5/2MDy9sfM2bHX06BK/egbISYjM24HGTyDVKu6mWnveab9YEgy6nTUgj7OKmu0HgygWhypw4Riu/kbTGQ4GXQ42N5N3SF3BtGrKhi8kXYjg/KVC97oYbdfS9P+LMJxabBbJiU02ufhYVsBqVJPLyXD+aJvTCDRVc8s437XAL97gR6HGH8LzpKXkZeknOiBvEPQd/750VqRGEf5Jw0PWBgNT3YK2/+4g7rC6qBVH/s92Dz16a4EVmu6mDceEeNFHpGh81AAH2cGWmDDsYRC+M6vpS6iH5MrNFInwOkD6oLa9j7sWSfXj3hUD84KZUjJ3xbr3EfGpG47B0In/OAMXtKVPcXJ6zyGKJAz/uilCYHhjLZvgNwQvtyYgrlLR1A3rn8kfIK5S+IJNfeO9XpAd889eibRvd1n6fm7DzWRZbmmzinPFLElMVa4290/5wG/U4pEtfXmyoiP+0ZPC+egDq+ZzfYGsw4lAvyMpNvOTk/mKJzVp64PJCSheldlMF+we1nlnMFhe2wjMhg6jppIi9ilVFQQ8uh2LA0ynfMds0hnb2TLJ+rnvOk1uay5Frk9e0Usi44p2uU3j5Ifcyb5y/Skq55Wc+EXTmeo+m+OGEuubvVKiXDJr9qGBH42G0+/xdZ9p6ZZ59rtGgNZL5zdYS1jN/KcwZV52xZN0rqf73Ug8v3S/ngWzAcn8/wbBV6wdAhhv27a++Jrnaa5RypbCbj8MEctvdMRMjKB42N0ilNb+IlpDpCqkrfDz24h+Hz7QX+yDgP/MkcXmQ6Na3LJ+ufiMNBFz2YjHwh5ExTAyMvjYMzhs7FgICCwabye8vlgI37wPs9AqCBF1e016/tPKxYnlTK5OEMxs8yXi+b4DpsX+7y1xn6LXKaTr6mxhEZcNHthzOK9DSdq+4fe/mQX1UP3H1vEuJ0aKkzBmjj2sZ+JYKhQQOQx6Mz9Iaau8je9PgEghxw8wx1xNJCEQ9B/2vGe4s+/xmdM1DwB9KVh/d5Sg0hbhr6N2xp9MnW+OOtty51HPi1Fn10YFGrS5+l39PhpyXbLy1lxyGZfHFodXxbrDO5VajIy/ou40OnZ2B9r5aqpkxJtzzBLLv/8nKG5LMnX//9p/wXX4pkMZ7G8F+8bVBkDr8FMg/wVwnW/Cmr42NmHp7hW00P2ekA/mrBKBQ5U2U2k2zCEBEjsIBAhisnwGIiMMgDilqMehtf8n3npkh3yqOsG+TAPiPkGkZPm6tyiCifHTvUomqf5faUUWDTynXcn9DKa75/GqYdo4wcgMX671JOolbCiEGI1EExgksZx+vDUBnYgQjTwQaVbtuhiyoxKMx9U96/7jk13AYH8mRFQ1AG/XnHl0iUYnOgeM2PdW2pnV6/3PeqyoImMQ0p423lRGKoavt3gXxVHvBmvV7LM07VxyfNM7VnHBoNI4zwsi87dKDAYfoD11hwgKk276CfV4716EgYnJwni/KKJvauxtNrsWfNJb5s/fkHYh0nWqN+Qn/haxYafa/91/2Kd/6fXoZUf6iDvHUQ14fLTWlEIlI0kte+MU46R1nXxVMK8u4cIPldTsH1uoH12k+nOL+bYlHzDIZdbTo3IGK5JJRkkZTpoSlrjN4V+/e3kmetNvcKYi6wHN22xcKjn/a5ctKUm/zeXjkdyCccJ7DeGkUY6oc5JJw7CAqhXSLjzgkR0SozYdDVlGu6DkadfKbAnWNmKl7FyT27COrKDLfylckG+T9dz+m9zln5zvWxrS+7c7RIa6ieHLLynByl//VyBnYrwnl1ci5SFFmRuxMjVppUJbJFkkTY/E8uBmKvOB9vT75+mAxJ9RydgeJELdRantbngnWXyWBomoCXwBhr86eu37lk2A5pX1eamC5zaDJxUnIDFRlHVhzybTOCF5ciwY3g8I5TSaomPlF3s7V6/xkzlU7r/I8JRc6PWvtVOhOLJTfD1BlnNwdr1eT9lf1uqe7h8RXaSlUp4zkvxOZ9TVnaI7l+cvergY4IfMYZ4lz0ngseV/emngWJiN4BGZ9UugJB0Bk3X4LeHBvYx1pHe+msqMFfKyM4p1rUPv8Z1a5+tHzlDrWR/GxIyjLtydCQo+dzjsj34t2zulzlaeYYO9NknNOwR6kojojSoj/1HdbRpbzT6D6dyt6Yzlmhdbqh+/9qeoNToiMXcu14otD4vqfOyW0KWesA3rV8Y5TQ9yof+l+u/12K/5dv+y/ew4vwR+nL81t8rLun9vcOGY0DIyeNYRwfyVMlkMpAQJCSzRv086GR+sTFK7JpDK2fi8hAaHKUfj4dgubQreTpbfJv824k93UpUc8r0nLZlMOCoER9ch5q6cDgG0d9503t2gF+ZwrMxukGhPgzjl6RGBhWxAWRuh7Q00s5iWAGRyPhQPkHO+sc42+dn1DgF1UWMNGZyJrdVXs5hfamtLy3XM6bv/eXqXWMfcZaQb0IEkpUHBTKG8Q67WVNJi3fdHdOKYteuU855ZahGYO84q97ro363PemLBjqVTI2N3QAePTjebyTPwwRBbSyfYdtPJfXmLT3lh/6TIfIxUio4yMLZqVeX659mCmbsdioEiBkHvur96pr3F1qmfYXmkEpPL9nt97/zUWxkpfv1GpThKt0AXHhtjTR/H2/3JcStEPKAylzeFG5UrCrvKt8FNhLmzkj5tQCHlnqYJm5/n5Q7T1OgtI1pI+zcyA4ZUfkSLqM3jozZfCZFNveKeR3J/srt9Zbhbgs2Xv+OO/DQ83u1Ki1Foqt84OP9LvW4oeUrBxin/u2lPbRGdNnJevf7Z4ZZf3BTXOhSdQl7haMN06ncA7kx5FuQHPuz94hGvqcD0TUGsvbf7Oe49c6J1qw2icRJhRml77r57r+FJ1oZalG9H+9pKvAmqcEy78vh9Y5PT3Z4eSpb+aMmo37n1zOn/GVUi+HFhWuGXoDTpf/f6A1XDF989Lkz6Qa5TT63Z7VOT2t6N8AoGcXDLyz2kg1/BfO8cCQSqDowaKMw7Y54GdnOPeqHPAzObqvi5ykqY5ueM6PtQLNczKlXpxjbQ/Bptj+HDFGhRFT+2qi1Q9ax5nThW/MUZUuM7mJ/lomB8tADLrml6W68GQ+HASNyHVl58rf87V2v5qIkDklmklINX0zJ0LkPDbqH+6zNVb4VxdnkxOP/Pej+BucUxPPnnzCzaP100G/SW5NxnKZa+s5IJ0/M7YyPbZnwY2GQxyUcZ5TSu+S9AX+CISGTmR8xxfngVyfghEdwoV1fcudU9Nq1l37T/JN501uz2otn97ajet97ffKpXNMLTIs4n+9/n9rYMcPdFi51z3KhazVQyoe52EMo8QmujuJFNXOiuRg32cmWL/OYzk2Yd+69zCGw2ivXiivM3RNyuARDUqDkDyWN84Q650LjhCNKcQXLY7rLMWy8m68LIf6vocbgdRhEkX4Tt9hks88/a2gnVEUFYKlN6/5xOtSuggZciG6IN2ZvlPGN44khuHxKVmRM4hQtO0zHS5lNqJPTd995jjtMTAeU9LYnjx14//A5PKoeweR7ZHQrthB2bWfgb5ugS9OXDx/0PrjIxxs1OFn+J+ajXusdNi7+qxbu8e9UrgE+5wMyMai5efOM1qyFmbyNUu1L5t0L9Mzrr4W4WzLlMrdfc6YhmgmJGP2xxyLZ3eY5H3N3JUesDbvKm/4wn7OqH3EqMMOoA5SiHOiFT93KTkZX+TkPx2sPHizjHHvMY7PHl11R7NjezaTZ1YuP2XMITTjwu5fIw/v4WQgY6gxli8+O2Yj5YIsNOMMEaZ6HnXZ2graR/s7TmvaN3/8NxndKyjxrfEKNquG+pk9NzLe4zNIcnSaFny85z0qg6x/rB65G+VccLbwBH6YUvxwuWEG/ae3FIlck0y0D5/X5KK1vCwm9o+UojQO0X3uFEt1bFxFT94H6tK1C+kLV2FcDzluWvKfKhyw9oCUtE/yheqyGQ0kpO20Tk3epV/MgNaizvWVXjNtRP2ffp/XOQscAPXFttEkKWsynx65Gb2dW8N5WofxZb3HZ5rT40iI2MwL1bzi4tbBgHUAuWoCe/pAEP3LMrbO99tDSmYOTflAhhHxBulpnYzljX2u6THGIxqvOEevNSZOZPj1iJKbZ2Sc0Vc1d3utjJh6WiS1NTIyiGlgcsjZrDPONJSmrZCB1DVp7ZweEf72PQdER7Dwg4kxej9rr3YPaXhxBuvHGRoBhyfVtWmLFgavwXO9dbm6Ian06FwxINbgkGTTDOZx0waomj+u6THY/x3LWy72sKBu0LPSIYGPXPgHJibznH7d3aNXVjlySHwC0boSMFAxGHmenMgzQqMmG0H3QVdPhbRHg8HkLI7TCZ5BZUJ9YQc9Rt6/2NmgII2LNHTd3OwNqtXX4pG+Gwc8U8/fVBKl8kWByle6r3Fa6L+Rv8mv/f+9geWlLNYDYyAjd2yTUTISC3w1hlTlETRyJgyw+g+2Wdq5OaQ7BYPIw/GYp6XpE7x/xeZVrD4e2iunoVwI6UNtnEsSW1OKnYLvGD+EnnM7OKcGLYsuKZexsRznbHmiZydw23WPIGPXxXmcc858/+jSlONLijDHTas9M89O9MrYa8XGw7si4tif7p2qIMYTYSZv6pi4RYkbuecgyBchBmG5ckjkLii6yd4fYdswGEfTj1k66OcEC84XWiC6mvbivO6dYdWIgvPBUJ711AdGHwh62yDm9JdS8MqnMGL/1hRkOlIqsjc5aMCbxxVLPevcyqT6w8jjzF6TUfE8oE3lROM9uKRDc3F7f2VeL7Y6Cv//6SW62K8In4DZNzKIYCH/dUGH3rNbfZA3g3Nie05xi5AdTEqM179p5JF1u1eMRDA2WF5npSfM/sDo7UHeq6eIp+0WAxFRb2t83IkZmss3WmDYP52mUP8p5NPL829gvYvK5Hy3Tb79HIEpFT06sfuTo+cALBl0rMb6IEPXU+DqjUWNlMvuIQQahiA1/bR1nCNFrWb7+8mjcqVFyilyTCd38flP1paz8f32hENzVnKGhf7D8p4gtxNSeDtnSLHGjUNE+PlLESWjBU1izMZ18P/Jd/2712ifipfx5J4N4Wv14HPtBF+/yN+jEs6MfZTr5gRzHDmw5iGLdvENrunccgBfG9v8+pyTV+Q0rp7sfyHnWC7qwV6PaDR7Z+GYHJQV249vtT/79XsQ8BWd+Vl73WcjBnKwTyzfuGCeq05u6rGNQ9Rr+m2tx5vLF+q4NXUOtyAgtnF7v073+Mr0w41Z+qOCm0Wc5FB7yIMytDo7ySU6x3SiGtmfdK/6q7+p3LPm+zo0ScdMJgaJHD+XY6AeF29GJPd/61Lq6EyAc3Wb0iACMqS0bu8rCo5a3/smImHIGmdasxkO2b+rUXXeRO7WnWxJ4SC56pNO9zuomzVc3Z4c3nmGMPzqtQsNo/KUwglqBlLcpIsTf2COBv7K/6lx9bH/91by/9aOTPM5IlDML306sY31F8Y8cxjGUdsWEWcsnl6oBoJ/J2E+509NkWmx5IDHda7T3uJ/Uwsl6gBnigwnX/rV+g4sOrTu4yMtMMrDpJFJ5J7xe+SYlPc4ZEZaudTjijTXzmumjMeXPOqbqnkbk7DAK/rWMvTT66A17fP59LEHumMF7e5Hrobi+3GQ0LuDDqe9RMtKdYyt2qOeq9Mzrt4jegeN667iNZTB2ZRZXh/jfXrCbi8QZUCmT5kokZr2+0QKB8YglzM7PsWkLmrLnJizWuuTMzAHBq0hiRgXyMB6nnH6nVI+qPt8cZHrkZUKcGZ+Ggsd6QQRzWVddYP5V51uwHFy7uOSLQ7KqpE5XDqyUEByeXv0XfJHoPXJl2h/fE+gK6iDzjFq/KANSsqs+T0pRgzKzxXNGDCvvzVSi1IZjHQG25jFlZKd94faPKWoiCd+cDlrMLp/vzIHYsYUEIeLclFnTGmo8Z4vg/jaWvAxpEovMPTNvzzU2LmJXBryDG+dwZ+zs6WlpcYjRxXVzJ5sat8oWgUNLlBrTTDuZILbvzrm6ol/nVxr/vK9HIlvlqfcKkdyndIE0iab5FA8p/sn+98vsn5/AxDAr98J5mPcOcmIPJyOyWVv/yeqxbo5B98K4lT1bFiCCG8y0RAv42VNC7s4EhwkzH6Q2a2Xbl5ra2w9RFLblKbQgvVjwfUqB1bR7c3VuXp18nleBnXh9g+0+vNkEy9A28TV24PTk+WnpRceTfEjY4IsV15kymi15AHqoGPdMn2HtMDNOcFHrT7f4NRx0smjs4Yx/76f31UTHKSt6rHTSTgZDNEqE/KOMOjyu8k0FXII4UD48mfypa0l9q70xjP+Txb7Md4ruLm+6NsAglPL/f6wNXzm/OVHk/NN249fGCrSs8vXGq7AYHKMxt3R2F9ODhRu8uUMSA9+N1l9Uudpv/K5zpM87XDlmPy+3Lc67tULVJQyMa4uQcx01PPwe2jj/63r//cGdmjGsOTURXnGRLtEJI3JFyaz6IznfGr1ZhSvMVmizXFbu/+TBdsh2AKpZ9yxZ/JnObzwe3/+4Z6mt3u9YExhl6f5TJ97enWKDhDDqtB6mO4ycXEMPNcpKQfPsdEwb/evA9y64496/38hCGNjjzwmktrhaf8clWr1powAvPbaDuhuQbH3dMNfzjue9tlB4NiLIDWMWrA0iFRDAmUGT0lQl+lzeIofL7+qdm1auMdjclxcOxh/iHGbVgDFfyGnY/OMxN4ZBwbWuk1i/w8szG+lxL8a6e20CuhF4/6Ipj+YU/KNlKV709TBvGHzVNWQTr5EVu/TxKHRdSI3+TA1fmB/I8RcZMj8W+gEqBgkPu1FkWE7yvUyXJ8pn+mCcIwj1BdF1rszBfLO7uHDOTDnJaObV0e8QaPwGG5ElQ+Zx5qMu2fK4C99xnf/fN/gSYu+6I1l+45HMtTY3aK/9UIANjj91tEiyR9HzyAJnKbjM3aINBj4D/VZujCNZczcXxOMvpfS2kebOpyEvnOHHK6hJrb1BhOvnTEUTRtUPe1kpOmdpyFt03rN2IL84e6cpdbxKA3TWzcTbJScaDZ/5I/+MvpQ+8aIWrPzOwPqzUF8otj/mxeUC2fBH0Ztes0mpESGNpQTFkkDegZYK09lcOM9xL+4PIWuy5ImM5e8coHBmUJ/wAB2gaT1q1Z2s2oyb0+GEXHB8Fj82weJzr/RguVDZxzSASI8Dtv362EMKbCfZ+SkWwtpD01zBqSuBQI/n5Vc++/LMojDdKPHWKxpOaD4CM7o9C6Q6LE9/78jWf6n+6LPN7h1THD1uSLxz4u6W7/50w2iT8gQh36N1gnHYfGaPENWBC1jHoWex3gQ9O9zv3lLaM0cA7xLl0CX6JzV+vdTh8YtQeHtzQkhSit3HtbJkeAwyjsjEApo8GqUsXntY13/4lf/6RL87XX/HxZzhjbRVfGAAAAAAElFTkSuQmCC)
Given, ED = 45 m and DF = ?
Let EF = x, DF = h
⇒ DC = h (∵ height of reflection = height of object)
In a right triangle FAE,
We know,
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
AE = (h – 45) √3 ……… (1)
And, in right triangle ACE,
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
………(2)
Now, ∵BC = AD
⇒ equation (1) = equation (2)
![](data:image/png;base64,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)
⇒ 3(h – 45) = 45 + h
⇒ 3h – 135 = 45 + h
⇒ 2h = 45 + 135
⇒ 2h = 180
⇒ h = 90 m
∴ the distance of the helicopter from the surface of the lake is
90 m.
A ramp for unloading a moving truck has an angle of elevation of 30°. If the top of the ramp is 0.9 m above the ground level, then find the length of the ramp.
Answer:
Given AB = 0.9 m, AC = ?
In the above right triangle,
AC = Hypotenuse
AB = Perpendicular
BC = Base
We know,
⇒ AC = 0.9 x 2
⇒ AC = 1.8 m
∴ length of ramp is 1.8 m
Question 2.
A girl of height 150 cm stands in front of a lamp–post and casts a shadow of length 150√3 cm on the ground. Find the angle of elevation of the top of the lamp–post.
Answer:
Given, AB = 150cm, BC = 150√3 and ∠C = ?
Here, AC = Hypotenuse
AB = Perpendicular
BC = Base
We know,
⇒ tan θ = tan 30°
⇒ θ = 30°
∴ the angle of elevation of the top of the lamp–post is 30°
Question 3.
Suppose two insects A and B can hear each other up to a range of 2 m. The insect A is on the ground 1 m away from a wall and sees her friend B on the wall, about to be eaten by a spider. If A sounds a warning to B and if the angle of elevation of B from A is 30°, will the spider have a meal or not? ( Assume that B escapes if she hears A calling)
Answer:
Given, BC = 1 m and A and B can hear each other up to a range of 2 m.
Here, AC = Hypotenuse
BC = Perpendicular
AC = Base
We know,
⇒ AC = 2 m
⇒ A and B can hear each other.
∴ Insect B escapes.
⇒ Spider will not have a meal.
Question 4.
To find the cloud ceiling, one night an observer directed a spotlight vertically at the clouds. Using a theodolite placed 100 m from the spotlight and 1.5 m above the ground, he found the angle of elevation to be 60°. How high was the cloud ceiling? (Hint : See figure)
(Note: Cloud ceiling is the lowest altitude at which solid cloud is present. The cloud ceiling at airports must be sufficiently high for safe take offs and landings. At night the cloud ceiling can be determined by illuminating the base of the clouds by a spotlight pointing vertically upward.)
Answer:
Given, Base = 100 m and height of cloud ceiling = ?
We know,
⇒ 100 √3 = AB
⇒ AB = 100 √3
= 100 (1.732)
= 173.2
⇒ height of ceiling from ground = 173.2 + 1.5
= 174.7 m
Question 5.
A simple pendulum of length 40 cm subtends 60° at the vertex in one full oscillation. What will be the shortest distance between the initial position and the final position of the bob? (between the extreme ends)
Answer:
Given, OA = OC = length of pendulum = 40 cm, ∠AOC = 60°
In triangle OBC,
= 30°
Here, OC = hypotenuse
AB = perpendicular
BC = base
We know,
⇒ 40 = 2 BC
⇒ BC = 20 cm
∴ length of AC = 2(BC)
= 2(20)
= 40 cm
∴ the shortest distance between the initial position and the final position of the bob = 40 cm
Question 6.
Two crows A and B are sitting at a height of 15 m and 10 m in two different trees vertically opposite to each other . They view a vadai (an eatable) on the ground at an angle of depression 45° and 60° respectively. They start at the same time and fly at the same speed along the shortest path to pick up the vadai. Which bird will succeed in it? Hint : (foot of two trees and vadai (an eatable) are in a straight line)
Answer:
Given, AC = 15 m, BD = 10 m, AE = ? and BE = ?
In triangle BED,
BE = hypotenuse
BD = perpendicular
ED = Base
∠ BED = ∠ OBE (adjacent angles are equal)
= 60°
We know,
⇒ BE√3 = 10 x 2
= 11.55 m
And, in triangle AEC ,
AC = Perpendicular
AE = Hypotenuse
CE = Base
∠ AEC = ∠ MAE (adjacent angles are equal)
= 45°
We know,
⇒ AE = 15√2
= 21.21 m
⇒ BD<AE
⇒ Crow B will succeed.
Question 7.
A lamp–post stands at the centre of a circular park. Let P and Q be two points on the boundary such that PQ subtends an angle 90° at the foot of the lamp–post and the angle of elevation of the top of the lamp post from P is 30°. If PQ = 30 m, then find the height of the lamp post.
Answer:
Given that PQ = 30m and ∠POQ = 90°
Let O be the centre of the park and OR be the lamp post and P and Q be two points on the boundary of the circular park.
In a right triangle OPQ,
OP = OQ = radius.
⇒ ∠OPQ = ∠OQP = 45° (∵ POQ = 90°)
We know,
Multiplying and dividing ihe fraction by √2,we get–
= 15 √2
And, in triangle RPO,
Multiplying and dividing the fraction by √6, we get–
⇒ OR = 5√6
∴ the height of the lamp post is 5√6 m
Question 8.
A person in an helicopter flying at a height of 700 m, observes two objects lying opposite to each other on either bank of a river. The angles of depression of the objects are 30° and 45°. Find the width of the river. (√3 = 1.732 )
Answer:
Given, AD = 700 m and BC = ?
In triangle ACD,
∠ACD = ∠ MAC (alternate angles are equal)
= 45°
We know,
⇒ DC = 700 m …… (1)
In triangle ABD,
∠ABD = ∠ OAB
= 30° (alternate angles are equal)
We know,
⇒ BD = 700√3 …… (2)
Now, adding equation (1) and (2)–
Width of the river = BD + DC
= 700 + 700√3
= 700(1 + √3)
= 700 (1 + 1.732)
= 700 × 2.732
= 1912.40 m
∴ Width of the river is 1912.40 m
Question 9.
A person X standing on a horizontal plane, observes a bird flying at a distance of 100 m from him at an angle of elevation of 30c. Another person Y standing on the roof of a 20 m high building, observes the bird at the same time at an angle of elevation of 45°. If X and Y are on the opposite sides of the bird, then find the distance of the bird from Y.
Answer:
Given, AC = 700 m and EF = ?
Let position of person X be B, position of person Y be F and AE = x.
In triangle ABC
∠ABC = 30°
We know,
⇒ 100 = 2 (x + 20)
⇒ 100 = 2x + 40
⇒ 2x = 60
⇒ x = 30
And, in triangle AFE,
∠AFE = 45°
⇒ EF = 30√2
∴ Distance of the bird from Y is 30√2 m.
Question 10.
A student sitting in a classroom sees a picture on the black board at a height of 1.5 m from the horizontal level of sight. The angle of elevation of the picture is 30°. As the picture is not clear to him, he moves straight towards the black board and sees the picture at an angle of elevation of 45°. Find the distance moved by the student.
Answer:
Given, AD = 1.5 m and distance moved = BC = ?
In triangle ABD,
∠ABD = 30°
We know,
⇒ BD = 1.5 x √3
⇒ BD = 1.5√3
Now, in triangle ACD,
∠ACD = 45°
We know,
⇒ CD = 1.5
⇒ BC = BD – CD
⇒ BC = 1.5 √3 – 1.5
⇒ BC = 1.5 (√3 – 1)
⇒ BC = 1.5(1.732 – 1)
⇒ BC = 1.5 (0.732)
⇒ BC = 1.098 m
∴ the distance moved by the student is 1.098 m.
Question 11.
A boy is standing at some distance from a 30 m tall building and his eye level from the ground is 1.5 m. The angle of elevation from his eyes to the top of the building increases from 30° to 60° as he walks towards the building. Find the distance he walked towards the building.
Answer:
Given, AF = 30m, DF = BE = 1.5m,
AD = 28.5 m
In triangle ABD
∠ABD = 30°
We know,
⇒ BD = 28.5 √3
Now, in triangle ACD,
∠ABD = 60°
Multiplying and dividing the fraction by √3, we get
⇒ CD = 9.5√3
∴ distance he walked towards the building = BD – CD
= 28.5√3 –9.5√3
= 19√3 m
Question 12.
From the top of a lighthouse of height 200 feet, the lighthouse keeper observes a Yacht and a Barge along the same line of sight . The angles of depression for the Yacht and the Barge are 45° and 30° respectively. For safety purposes the two sea vessels should be atleast 300 feet apart. If they are less than 300 feet, the keeper has to sound the alarm. Does the keeper have to sound the alarm?
Answer:
Given, AB = 200 ft. and CD = ?
In triangle ABC,
∠ACB = ∠ OAC (alternate angles are equal)
= 45°
We know,
⇒ BC = 200 √2
And, in triangle ABD,
∠ADB = ∠OAD (alternate angles are equal)
= 30°
⇒ BD = 200 x 2
⇒ BD = 400
Now, CD = BD – BC
⇒ CD = 400 – 200 √2
= 200(2 – √2)
= 200 (2 – 1.414)
= 200(0.586)
= 117.2 m
∴distance between Yacht and a Barge = 117.2<300 m.
⇒ the keeper has to sound the alarm.
Question 13.
A boy standing on the ground, spots a balloon moving with the wind in a horizontal line at a constant height. The angle of elevation of the balloon from the boy at an instant is 60°. After 2 minutes, from the same point of observation, the angle of elevation reduces to 30°. If the speed of wind is 29√3 m/min. then, find the height of the balloon from the ground level.
Answer:
Here, Distance covered by the balloon = BC
We know,
Distance = Time x Speed
⇒ BC = Time x Speed
= 2 x 29√3
= 58√3 m
Let AB = x
⇒ AC = x + 58√3
In triangle DAC,
∠DAC = 30°
We know,
Now, in triangle EAB,
∠EAB = 60°
⇒ EB = √3x
∵ EB = DC
⇒ x + 58√3 = 3x
⇒ 2x = 58√3
⇒ x = 29√3 m
And, Height of the balloon from ground level EB = √3 x
= 29 √3 (√3)
= 87 m
Hence height of the balloon from ground level is 87 m.
Question 14.
A straight highway leads to the foot of a tower. A man standing on the top of the tower spots a van at an angle of depression of 30°. The van is approaching the tower with a uniform speed. After 6 minutes, the angle of depression of the van is found to be 60°. How many more minutes will it take for the van to reach the tower?
Answer:
Given, time taken by van to reach D from C = 6 minutes.
And let the speed = x
We know,
Distance = speed × time
⇒ Distance between D and C = DC = 6x
In triangle ACB,
∠ACB = ∠ OAC (alternate angles are equal)
= 30°
Also,
……… (1)
Now, in triangle ABD,
∠ABD = ∠ OAD (alternate angles are equal)
= 60°
We know,
AB = BD√3 ……… (2)
Now, equating (1) & (2), we get–
⇒ BD + 6x = BD × 3
⇒ 2BD = 6x
⇒ BD = 3x (where, x is speed)
Now, comparing it with Distance = speed × time, we have–
Time = 3 minutes.
Hence, it take 3 minutes more for the van to reach the tower.
Question 15.
The angles of elevation of an artificial earth satellite is measured from two earth stations, situated on the same side of the satellite, are found to be 30° and 60°. The two earth stations and the satellite are in the same vertical plane. If the distance between the earth stations is 4000 km, find the distance between the satellite and earth. (√3 = 1.732)
Answer:
Let C be position of station 1 and D of station 2 and BC = x.
Given, CD = 4000 km
Now, in triangle ABC,
∠ACB = 60°
We know,
⇒ AB = √3BC
⇒ AB = x√3 ……… (1)
And, in triangle ABD,
∠ADB = 30°
We know,
……… (2)
Now, equating (1) & (2), we get–
⇒ 3 x = x + 4000
⇒ 3x – x = 4000
⇒ 2x = 4000
⇒ x = 2000
And distance between the satellite and earth(AB) = x√3
= 2000(1.732)
= 3464 km
∴ Distance between the satellite and earth = 3464 km
Question 16.
From the top of a tower of height 60 m, the angles of depression of the top and the bottom of a building are observed to be 30° and 60° respectively. Find the height of the building.
Answer:
Here, AB is tower and EC is building.
Given, AB = 60 m and EC = ?
In triangle ABC,
Let AB = x
⇒ BD = 60 – x
And, ∠ ACB = ∠OAC (alternate angles are equal)
∠ACB = 30°
We know,
⇒ BC = x √3 ……… (1)
In triangle ADE,
∠ AED = ∠OAE (alternate angles are equal)
∠AED = 60°
……… (2)
∵ BC = DE
⇒ equation (1) = equation (2)
⇒ 3x = 60
⇒ x = 20 m
∵ CE = BD and BD = 60–x.
⇒ CE = 60 – 20 = 40 m
∴ Height of the building = 40 m.
Question 17.
From the top and foot of a 40 m high tower, the angles of elevation of the top of a lighthouse are found to be 30° and 60° respectively. Find the height of the lighthouse. Also find the distance of the top of the lighthouse from the foot of the tower.
Answer:
Given, CE = 40 m
Let AB = x and BD = CE = 40 m
In triangle ABC ,
∠ACB = 30°
We know,
⇒ BC = x√3 ……… (1)
And, in triangle ADE,
∠AED = 60°
We know,
……… (2)
∵ BC = DE
⇒ equation (1) = equation (2)
⇒ 3 x = x + 40
⇒ 2x = 40
⇒ x = 20
∴ Height of the tower = 40 + x
= 40 + 20
= 60 m
And, from (2)–
DE = BC
= x√3
= 20√3
And, in triangle ADE,
Also we know,
⇒ AE = 40√3 m
∴ the height of the lighthouse is 60 m and the distance of the top of the lighthouse from the foot of the tower is 40√3 m.
Question 18.
The angle of elevation of a hovering helicopter as seen from a point 45 m above a lake is 30° and the angle of depression of its reflection in the lake, as seen from the same point and at the same time, is 60°. Find the distance of the helicopter from the surface of the lake.
Answer:
Given, ED = 45 m and DF = ?
Let EF = x, DF = h
⇒ DC = h (∵ height of reflection = height of object)
In a right triangle FAE,
We know,
AE = (h – 45) √3 ……… (1)
And, in right triangle ACE,
………(2)
Now, ∵BC = AD
⇒ equation (1) = equation (2)
⇒ 3(h – 45) = 45 + h
⇒ 3h – 135 = 45 + h
⇒ 2h = 45 + 135
⇒ 2h = 180
⇒ h = 90 m
∴ the distance of the helicopter from the surface of the lake is
90 m.
Exercise 7.3
Question 1.Choose the correct answer:
(1 – sin2θ)sec2θ =
A. 0
B. 1
C. tan2θ
D. cos2θ
Answer:Given trigonometric equation = ![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAJMAAAAoCAYAAAD66MijAAAAAXNSR0ICQMB9xQAAAAlwSFlzAAAOxAAADsQBlSsOGwAAABl0RVh0U29mdHdhcmUATWljcm9zb2Z0IE9mZmljZX/tNXEAAAaOSURBVHja7Vw9b9tGGD4qa+LMiXXcknSMecwWdEpounECdBBsitDSQQgIg0AsBRyMiPJmJGnnuBkSe2ja/IAOjr2n7d7Cjf0DHPsn1FbvgydR/BJJUzJN0cALf53Ie9577n2f9z1KYH19HZRWWhZWOqG0kkyllWQqbZrJhL+E0lEpHDuFfov855pRu63qzxaKvODYrjD7WMny2s90daFmrN2eFryRZLKs2qwsqy+bGxtXi0okW0OP8ff/sJ0CaXkbgF5m0WRjo3lVFeXNhmXdnAa8oWSyrOa1eQh/U1vdu0WNSrapzkFUf0V+7rbUuxCAY6istLO8B70u0n7MQ8qbBN7gGxMGI/19kfO72Wjcd0fdFQW2QFXdzToS6wi8R5r9eBrwhkcl057LMxk+AlBx8n8mu76ro0UA1U9Zk6nbQI+E6vxu07Ku5cl/48AbHJVCGOsIOEfEZZtvk1odQZw+4ElWpCc7FarGagIhWxmI2XBC23bjBgLgIA/RKQ3eJFj9iySB7aAURy5iGDWkKKgDIdjH+bZ1wWR6BYB4lIWus6zGTVlU38TZpcQPa8YDhCD4g4lZ+BVpK/WozUVSHZDq23khUly8SbH6biIBcBhEFBKugSj+LYrgH3zh3kWTKSvrYYfpCHUatn0jzvgX2twT7NRj3jKxTe0WjjxfiJgN27VUnwDpMA+VXRK8SbH68ygmCtK7i5G5tiBkIg4hC40a3UfuNB61o+lmU81Vny7CKfeBsSZF+SzKr3nDmwardwe1R+mQSZHJJbArDPRwaA0S4K6mnDCc6/0NOrJDyc6DytPnXA+Q37mjQyJMoH8cXXQIUH0rtCwH4CSoFB+FM2AcHRtClkpYUzIp3jRYPToEbAGADqNC4CTIZDVrM/NI/JnmaYg+a4b2LUK6zQljGbU7D5H4FgK4z8GS12gKahE9R8Suqavf4Vz/Ga/OKZSWf/JWU4YKV50Gnsukf6Owh/mHNiirYDescOFk8i5AFE63NfE4VRY3+TwFKP1ZM6w77k1EfCJD+DtvSoro4dta05pJizcNVv+gHJCJFAH8+mReGNg7vhCk4UbyNibJmXvnkDGEOGRuoqxu8jxvMieeO8UM/CMd1kyz6ooSV/BiX1eqYC/Md/3d7FmAKJz915KTCEwSj245cGswIpIhEI7v6eaSuymZto+UFqsf8AWTic9jTnvxhKcw+jekdfxgh8MwE7rDxIlKMWnmhafU8+9wHC085A5+7cC3cXDyCOFOTcSeKvC5swZtxxd73gqcVbvRkTZrrCN3Txoy9YYOFEfZsEagzoHgE5mssmQshvU2WBiOT6YwPZPcwRGhPwGZ4uAcXFc4DVpUjOkdx5eluE+L1Z/XMyBTcH4OtqDGmanfW+rvAAj3WW9jWFBeJjKF/X8UTn7PqKg6jkoxV2TKBBDWBoosvnFId8ZOuQc7d9JkckeS0AoHoIOgtBK1AFE4+9cNaXiSqO5aj8wObdNizSWZ3KShghNXZV6STJpMXMyT2t17NIIFsMTuEXw4HkamUTj5UQwVwpY16+0D4cqv4+A7ZmPs2XX/UYgwKaznEeDtcRCJOF5BSsdd1jIAwom7J0KPffxkao+TTP3FdUUPpxHYpp3ikKOdoEo5Nk5WpfYAlP76vtn6hmtNA9+TjBtEETwGz6vWbF7nY8g5a1TfLGusscnEG4Ksxc4mPo4DX+4ciPTX2DEz3HF4Xl/IvGhPBZfLEp0r6LFqqCeQpt4yJRghOql+egJv1NH5VpU998KlNUcPnjJ9g+e2pCxisn6NOjSNEuBhOD2vdVohpLah9c2Zexw96mJtEdcYeAzgws55ngpIijV2n4n0LkQAjuII6HOTSdV/ME31vhP2WUPPtG+FzQOqWmcegh3vvHyFAJzfyeKRCyKcB3MQj3h/ZySZXBJiFE6vrlIh/MBxiLLiO6Sl/Td+HWdM0LXGidV/up3hYx2leY8giv3AYcDpdkmm7CvTfuO0EE9axCITOxG++NPtohkrWoReWjF8KcnEFfy4KrVpNVYBBfegCkumvm7K0VOBRTDaEyu4XgokE0t1+XgqsAjGqmRht+gpLpBMvP+RtwfgL6vRRiRc+LWob2aNJBOPThVU3yo/Z+CczsX+q6PK1jREpVAyMe0EX4c901xaoqj0YRqiUiSZSGUnQ/mXUjulM/JmVlWWXxa9gotFJkoo0sYv8KegjNPIp6BkcZxRGDKVVlpJptJKMpVWkqm00qj9D1XZCSfTqY8iAAAAAElFTkSuQmCC)
We know that,
![](data:image/png;base64,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)
∴ ![](data:image/png;base64,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)
⇒ (1–
)
= ![](data:image/png;base64,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)
⇒ (1–
)
=
(∵
)
⇒ (1–
)
= 1
Hence, (1–
)
= 1.
Question 2.Choose the correct answer:
(1 + tan2θ)sin2θ =
A. sin2θ
B. cos2θ
C. tan2θ
D. cot2θ
Answer:Given Trigonometric equation = ![](data:image/png;base64,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)
We know that,
![](data:image/png;base64,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)
∴
= ![](data:image/png;base64,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)
⇒
= ![](data:image/png;base64,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)
⇒
=
(∵
)
= ![](data:image/png;base64,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)
= ![](data:image/png;base64,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)
Hence,
=
.
Question 3.Choose the correct answer:
(1 – cos2θ)(1 + cot2θ) =
A. sin2θ
B. 0
C. 1
D. tan2θ
Answer:Given trigonometric equation is = ![](data:image/png;base64,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)
As we know that,
![](data:image/png;base64,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)
∴ ![](data:image/png;base64,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)
And ![](data:image/png;base64,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)
⇒ ![](data:image/png;base64,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)
⇒ ![](data:image/png;base64,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)
⇒ ![](data:image/png;base64,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)
⇒ ![](data:image/png;base64,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)
Hence, ⇒ ![](data:image/png;base64,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)
Question 4.Choose the correct answer:
sin(90° – θ)cosθ + cos(90° – θ) sin θ =
A. 1
B. 0
C. 2
D. –1
Answer:From Trigonometric identities –
⇒ ![](data:image/png;base64,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)
⇒ ![](data:image/png;base64,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)
Using above formulas.
⇒ ![](data:image/png;base64,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)
⇒ ![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAa4AAAAXCAMAAABkmVuhAAAAAXNSR0IArs4c6QAAAJNQTFRFAAAAAAAAAAA6AABmADpmADqQAGa2OgAAOgA6OjoAOjo6OjpmOjqQOmaQOma2OpC2OpDbZgAAZgA6ZgBmZjoAZrbbZrb/kDoAkDo6kGYAkGY6kLaQkLbbkNv/tmYAtmY6tmZmtpA6tpBmttvbttv/tv//25A625Bm27Zm27aQ29u22////7Zm/9uQ/9u2//+2///bd3YZpQAAAAF0Uk5TAEDm2GYAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAAZdEVYdFNvZnR3YXJlAE1pY3Jvc29mdCBPZmZpY2V/7TVxAAAET0lEQVRoQ+1ZaXPaQAxdExLa5qRJStoGerukXP7/v6661t5Li70MnckUfzCQSE9PeivtYow5XacKnCpwqsArq8Cfh6q6OYTzwQCHBP/ffHfvn81yNC9PeyhA8/3q1+BozSdYUytj6uuf/XytQz9r16qInxlGsJwdMt28YbmKUXSAdfXBr1gzu4Wymxfo6TGVHoNe4bv1RP4Sl7iZXay20wuk+i7AS+vROQzVq4ifyRGMSuBYD2VH9vUdq9UWJY8Sx9cBQttmRrHq0bNpFmfQZs3sfLWdwbvd/dwsz1HK+Fpj+9OtXVp7KHYOYtjMeupcwo+5KQTjcjnWBXotZeuKUdI5RvF1gIjNGiUyuykWhe4cFHpwAyx29+k5uUAZNxMqeK1I6oVyHfgfPeUq42eGEYzZDVCttgeN0hxTANunqhrdrNYVCIG33xM6z0ADIzOuPDaWoRbbwaCj7rpKdhd7scZOe21goI4ACF9pnEpQG0YcUnJprmX8JK2AoFKCJLtQLj21NZRxzdVzipLKUYmfAkAlmo+gBgmzmVzOTY27mHQIJ0ZGKBkoAXd972JmUkoZp4j1aLZTaEt8xXHaBhVTcUikorqW8fPjCUGtBDYRj10gl57ablrB1cml56jETwKQHhvoFZGLlLKjD7gtzuam+VZZuVg09eIQVUWdaRb8wgPIfsY4bVB45zqQlTcMVVfefobyC+IxQa0E+B+f3YI/wmVP6JnU2iLty1GPLxAuwJfq8gf+uZOr26mweHAcHH+GEchCBXKF/HFWtt1lZbKjztkHbVAarp2DifFg5diKcl3F1cqV55cATBBUSsCj32EXr9Jcao5c2RzblEIJ0gDLt9UYdqVArppOGnJhv9lhKB0TU+fOcMe0LD0/JzaRoPvmuu5axi9N0LIJStBj78ql1lZo796lxheIAOBlAhVUuos8aux9OWrwctcuUmgH+xReSblshhRUbKwDebnDMLF6wQJdbXcN5MecAoICmVjdnjWQDYehzs8tUIAS5EiWKQk6iA4Aty3KISMXzwQ6gcRfTXzhSFg+Y7d7l91kuT8xThtUVoJ1iOTSXV25BvDjlecT1Epg16nHzk83m1pr6sWMcuyqEXW3RegA6GjzAHKQEHSjo4acvFh5fKpEh8I9Jw2a9vBUA/zJgV9B6EfTfJ0D+h2cDGlpSFDfga29o4bqWsgvRVArAaXQpeMLJZ9yqbUOMYqXYya+QHQA26dJVV1jBeHUSTc8h+BWJZsUnO2f2WsL35rAMn+B0eiWTewDL2Pgu9wYQZaAj9LboIJqHRJyqa6l/DCLgKBWgiS7MPtcaq2tEzORYy6+QEQAkQiZEbBHMfvvXk81emLFZofz6/fYpZjgv3Vsv+SWhu2aqxQh63cwv54PNY9C/gig8sS7FLnnE/lSeNzj6BeD4uvoBIuZlTmW/Z4ksXr/3lXGDb0O4tf/B7lygifPUwVOFXg9FfgLnqbEMLiUYEgAAAAASUVORK5CYII=)
⇒
(∵
)
Question 5.Choose the correct answer:
=
A. cos θ
B. tan θ
C. cot θ
D. cosec θ
Answer:Given, ![](data:image/png;base64,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)
⇒
[taking (1+cosθ) as L.C.M.)
⇒
(∵ sin2θ = 1 – cos2θ)
⇒ ![](data:image/png;base64,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)
⇒ ![](data:image/png;base64,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)
⇒ ![](data:image/png;base64,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)
⇒ ![](data:image/png;base64,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)
Hence, ![](data:image/png;base64,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)
Question 6.Choose the correct answer:
cos4x – sin4x =
A. 2sin2 x – 1
B. 2cos2 x – 1
C. 1 + 2 sin2x
D. 1 – 2 cos2x
Answer:we can write –
![](data:image/png;base64,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)
![](data:image/png;base64,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)
∴ ![](data:image/png;base64,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)
Now applying formula,
![](data:image/png;base64,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)
⇒ ![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAX4AAAAXCAMAAAA7iNToAAAAAXNSR0IArs4c6QAAAJZQTFRFAAAAAAAAAAA6AABmADpmADqQAGa2OgAAOgA6OjoAOjo6OjpmOjqQOmY6OmaQOma2OpC2OpDbZgAAZgA6ZjoAZjpmZmYAZrbbZrb/kDoAkDo6kGYAkGaQkLbbkNv/tmYAtmY6tmZmtpBmttvbttv/tv//25A625Bm27Zm27aQ29uQ29u22////7Zm/9uQ/9u2//+2///b+JFFBgAAAAF0Uk5TAEDm2GYAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAAZdEVYdFNvZnR3YXJlAE1pY3Jvc29mdCBPZmZpY2V/7TVxAAADWklEQVRoQ+1Ya3PTMBCUQ4spDQ0NLYkDjXnVBKgd6///OU4vWw9LJ1nJDMzEH5yMx3u7Wp1OZxFyuS4OXByYdKArtznOZMJ16j8PRbHK0JKFzwITMhdOdzc59mfCdbP7D0/ksNjP9j8LnwUmZDa82VQ59ifB6bflc9jd7s18+1lkC9/c/Rj4zk5ua9fJfaNuVzTJ/rYwJisJTqv3L0huN/cpyW+JAaiN794quacmx7nJSO4bVP/4TKvNZ8yVEW6yJsFphXp78JX+6RxxLHDxKiVzyCfNi+C216IbpynYdR1vvxkiCd6+QioPabwbb9wSncI3YnA55FELclK7JO+gp1jAMmS/S1YOjzt4sOLC5MhqNgtgp2cjkICWvcBuP0vZpChjEDzjeS3G4RXTgvst43djmfZ7xEziRfpnkRv2Y9yGeEHelRtyXG/FbwVJSKvrF/pJ5MXvUmRlDU2HN8kGAO8zu/J2TxoxUwoexnMRYma9Yvo1W4n8JUeLIcwjZhovqk4WuW4/zq2LF+S1rC41yz+mpF/D425p1BwW2LvzDQBpP58Ds5SbeEhgealWspV/YsQ4Wgz7cTE6ng86i1y3H+fmua2MZOQcApf45fcvxe13Y03xeXk31F7HPQUY7VdRhzA63o49OhAnJqhlUO8Xo+H5dEv7T0CeZgQjN0lFGTzcFFf2TtiEvnkkIGA/CeJJI2pcpBgrllUVcTEjntufRW7mEs6tGeHar8b/q5RboYreP34M9iYcELDfwHuLz0QCggBbjK3F2ZQQMRoeyf4IcnspJxjByNW2z4qSMJCXfVWEZXS62/dra0bGwqIAfvuD+LH4RIlxYhn2D+q9YnS8Xvvnkev249zEIW+KDaFf99Ax3kPnA3PAu48Hw2taw5bAXpi8BgD/2uA3a+sN47XmI0KMG8u0X6n3idHxYrWpzmcWuWE/xk1ccgJd+tUTq/glnClC4h938OdOb3xoVSwg+wuP/wrQAW7Lb9a7CB64h9YbFTMRy7AfE2Pgrb5/DrluP8YNw9SMzD3Cml4L857iH57z4oZR0V+9ZyQ/R+jkmBHHLskxUUDCmQ8aK/mFfyn5WflBTzyTR4gAkk48z0d+6sjz4uFH7vPielFp5/1nJD9x6Eu4iwP/hwN/ATuEoDW0SixHAAAAAElFTkSuQmCC)
We know that, ![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAJ4AAAAXCAMAAADN5AZZAAAAAXNSR0IArs4c6QAAAJxQTFRFAAAAAAAAAAA6AABmADo6ADpmADqQAGa2OgAAOgA6OjoAOjo6OjpmOjqQOmY6OmaQOma2OpC2OpDbZgAAZgA6ZjoAZjo6ZjpmZmYAZpDbZrbbZrb/kDoAkDo6kGYAkGY6kLbbkNv/tmYAtmY6tmZmtpBmttvbttv/tv//25A625Bm27Zm27aQ29u22////7Zm/9uQ/9u2//+2///b+yvsggAAAAF0Uk5TAEDm2GYAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAAZdEVYdFNvZnR3YXJlAE1pY3Jvc29mdCBPZmZpY2V/7TVxAAACOUlEQVRIS+1W2VbCMBBNUGpVEARxoyjUBSPYps3//5uTlSxdWA48eMxDC+3cmZs7S4PQ/zquAj8TjIf7hzgQ3ha4vJujVWfRZlb3/kA4uGUf/a/m6PRyb3rc8c5wMlgaQiy5zVq0IaMdxMvx1LPeAb6+F0LQa+2DJa2xV3WlxxKfCbgO6NXCgz0XE3wmE2kEz9WDen1IbWNU0vMd1cN9SzpYEs2GRCKlLLmQVhQatANi8Hufp76YwYNhhnJgl3OVUoyjjGArdw49ZZ9zA375jkXDG3gFPpTE0FPy0Vjmh8bPqBhP5T2BPbAkythLlJVjDEsYpdDADiP7j7YHD3yTcW+BCMAseIhvoKdqLlczI5ViopSLySOUY6hJ2re7hjNwytymZ+wVPcHRLWsXD8lQyxpbRj1JBCl6wjkseRfXN9z79LZH4xtTh4F3bb+hp50aLzY+VI4/segJvdR/l54syNUV7noDkbjz2W0NZd9AD3n4huQimc569eDlOlZ9o/yUD49On/udK+wb6Dn4tuTa9HQD8/KQEUTZ6YqU9NhsUY5twjY9Y19PL8A3qicC6c4l+Bmx9wWMhBF0LnAULTxxyKRQkfy9WQ49bS/Gsrh4rcECfAU9XT2q2szcgzHVnfOKi+GAAsIVM/gxsBqXJbgD6mGLn01P21OATcXFtYWRFOA9euwVYPj8ScimPvPtX43qHjvyU/XVgE21fnOPzKTK/eaQs8WJ5eT8NieWbc57p6Znn/dOHfvvxPsFOqBEH2COpnsAAAAASUVORK5CYII=)
⇒ ![](data:image/png;base64,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)
⇒
(∵ ![](data:image/png;base64,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)
⇒ ![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAARUAAAAXCAMAAAASjytvAAAAAXNSR0IArs4c6QAAAJlQTFRFAAAAAAAAAAA6AABmADo6ADpmADqQAGa2OgAAOgA6OjoAOjpmOjqQOmY6OmaQOma2OpDbZgAAZgA6ZjoAZjo6ZjpmZmYAZpDbZrbbZrb/kDoAkDo6kGYAkGY6kGaQkLbbkNv/tmYAtmY6tmZmttvbttv/tv//25A625Bm27Zm27aQ29uQ29u22////7Zm/9uQ/9u2//+2///bTLcIJgAAAAF0Uk5TAEDm2GYAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAAZdEVYdFNvZnR3YXJlAE1pY3Jvc29mdCBPZmZpY2V/7TVxAAACVklEQVRYR+2XYVuCMBDHmaWRmkpmIVZKpaQlyL7/h+vuZOjQDebs3fYCenz23//ut9uNPM8NR+AqBDJ/arOOpZysf8eMDW2CqNWaOvBZ14aKpZzSyR/n3rq1qE3t8gnGDkkY2VCxlJeJZvf/SQVtTBzSITeikjKJoalcud3JqFklbJ4updfUAYt3suJR+L5tFhLMkqkYy1U+62ZtZTdmN6vjNZpvaUMHWjxhODrNqchpWcrLxZJmULLBMrmQyjmHDJp8C0of3/0lBLObwQ9DglHgjhEOZKloMoUgxQn4+PaLW0PsVo0eD7YyiBSgpGhcv4iWiplD5ofeLph69I6ANo86W/66L5Eff48/hltAWZClgC7izO8toMwIoJDr9QhFGUQeYMHSatogqLg1tWLoEBdHJL6j6KZeHkBzy/rSwcHElR2pFBRUCI3cIGU97HoxxJVrH0QdFTMHSgnG/k3PD9b7klsEpvlQHu+TpITgQEWsWi5zrK+uLcztgpBrpRqjYZrydB5hxay7rC11c3TUfUkVAg0Vvf4qQWhPkKHDGYjAYOMjnaORT57lQ1vZcBJoqEj6k2K7UhCavmLosK8OvG2wv2Be1FLEMSyS57NFHlRAHU6HEKipaPVobh1ETV8xdUhY6PHPBVypI7iDAA1167GEgMfQbnDC2VEK6CuOHpVuq9fj+bQOgqjIp1y6NE0d4OuiPcdu4sM/p1Amuxn8MTi+gnjEWlArTIFFCDLQTelRmVujx4Ssg/D4Gziz25fDxsmfEvYO52vC/eoIOAKOgCPgCFyTwB+iS2Vsxx2nDAAAAABJRU5ErkJggg==)
⇒ ![](data:image/png;base64,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)
Hence, ![](data:image/png;base64,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)
Question 7.Choose the correct answer:
If
, then the value of
=
A. cos θ
B. sin θ
C. cosec θ
D. sec θ
Answer:Given, ![](data:image/png;base64,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)
∴ a=x tanθ
⇒ ![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAJ8AAAAiCAMAAAB2kft5AAAAAXNSR0IArs4c6QAAAKJQTFRFAAAAAAAAAAA6AABmADo6ADpmADqQAGa2OgAAOgBmOjoAOjo6OjqQOma2OpDbZgAAZgA6ZgBmZjoAZjpmZmaQZma2ZpDbZrbbZrb/kDoAkDo6kGY6kGZmkGaQkJBmkLbbkLb/kNv/tmYAtmY6tpA6tpBmttv/tv//25A625Bm27Zm27aQ27a229vb2/+22////7Zm/7aQ/9uQ/9u2//+2///b6trmJQAAAAF0Uk5TAEDm2GYAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAAZdEVYdFNvZnR3YXJlAE1pY3Jvc29mdCBPZmZpY2V/7TVxAAACeElEQVRYR+1Xa1fbMAy1w5pmDyjbKFvYsy0Utxs0C/H//2uT5Xdjt2mO/YFz6nMK1FhXuleKIxFyXqkV2FbFoq3KXWpcgZcEuyl37DJLeIQkwWZvbnOIh5gpsDfv8mRXxJcA+99vXk/WeRRMgL2ppnxJ8yiYEzuPoGfUswInKrCkehWLE01PPm5cDfojBj/IeMyhk/m8BoNofnldjBHpgI2WYyjyYfm6eS550yA3V7niS4O8GfE48ztKJ499Xv7+GOQeJv+Ofv7cHO0tVpRCg7mZQ5PZfVx3nwK6e/sKWaBH+MRoukHKImGeMzYNpJxdrF9mcKz9gF1w9zmgn7fvlF+ET4ym670RXa3yqfeXgfh4DbEx0SAhl/ZG9eq8/urCmX3our1+OcInRtNgYpEIl3bKuIe7o9y9fKP0ijS0fKgKCKGbwY/mAkRr3z6SZr5rpXsZnza2+9DUuoWt447TCT+lWCTSyE4ZQr9u9oWsQC5W/CJL+N3NxI0n4uN3C/wiS0I5lMbOPpHlJ1laPnE64fiwSJQPM2Xo/IJTTKn4WP0cCWTQlAK93oiCyIqljTtKpx8eX0GGGqGcMjJTBsa3fS+ybOKz9eenSH9zRxSLLLwKlnIdotOP7+8WsoVFIn3YKQPy+dRAm8PgjtP6EfH84p0C+XXAVHzeiGKRNUtjEKITziyGxX8gN/F8OFNGWxW3XU0nD3TaVviB/3OopEtxWDwfdkmHeyOKQdYs9+MbNnGx8lm+fH2XMT5q378rw4c1smJ5hE7MYXf9U11eDJUZtPbuyrCNRR6EGTvETC894P0mQfD9dnxZ5ONn4ycGaTHKQT7kUeG8KqP/6SBPDNXcteEAAAAASUVORK5CYII=)
⇒ ![](data:image/png;base64,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)
⇒ ![](data:image/png;base64,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)
⇒
(∵ sec2θ – tan2θ =1)
⇒ ![](data:image/png;base64,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)
⇒
(∵ ![](data:image/png;base64,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)
Question 8.Choose the correct answer:
If x = a secθ, y = b tan θ , then the value of
=
A. 1
B. –1
C. tan2θ
D. cosec2θ
Answer:Given,
![](data:image/png;base64,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)
⇒ ![](data:image/png;base64,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)
⇒ ![](data:image/png;base64,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)
⇒ ![](data:image/png;base64,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)
⇒
(∵
)
Question 9.Choose the correct answer:
=
A. cot θ
B. tan θ
C. sin θ
D. – cot θ
Answer:We know that,
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
⇒ ![](data:image/png;base64,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)
⇒ ![](data:image/png;base64,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)
⇒
(∵ cos2θ +sin2θ=1)
⇒ ![](data:image/png;base64,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)
⇒ ![](data:image/png;base64,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)
Hence, proved ![](data:image/png;base64,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)
Question 10.Choose the correct answer:
=
A. tan θ
B. 1
C. –1
D. sin θ
Answer:We know that,
![](data:image/png;base64,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)
![](data:image/png;base64,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)
⇒ ![](data:image/png;base64,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)
⇒ ![](data:image/png;base64,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)
⇒ ![](data:image/png;base64,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)
⇒ ![](data:image/png;base64,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)
⇒
(∵
)
Question 11.Choose the correct answer:
In the adjoining figure, AC =
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGgAAAB+CAIAAABH8cNwAAAAAXNSR0IArs4c6QAAC8hJREFUeF7tnQtcU9cdxy9PMQQMIoIWBeTVgPghIIyhn85tags+UFTcrPNRwGGdaDd1+wwUaavttIKIOicqKM5VLEIV67OAK1oKJjAVIcFCBQsxkWdekECykwchgIHL5Ybce5P7yYdPEs6555xv/uf/O+eee8/fRCaTQcZj9ARMR5/FmENOwAgOoR2MDE7KZhRkJS5xdfNw9V2SeInBvJuezZQiLI442YYHJ2YXH1gWsu1a29xPSpnPf6o4G9F5auWnnBn2I/MmDiItLQHioOXo5dGPhbuExGY+5fWn4BYlbM9iibTnMpT/aDcdaW1u8ikmdV3caiq5H7qV7VRPF0dLwtvTyA3Uam+szBUuPisya3oNxYZG105tFtfDqWI8gWgr5rkY3dkbrc+IZeROOSpwpiSKHQn68YcqjsbIo5OZnVHQJEZYFMGyaRfVF/lxIe7UmGNlzXI319tcnrYzPu8FeM9skZQ0do/OJRAuNTRci3isb1Ni/Fxc3cHrvYSsIpZyXALAQbmtjR09hKMxigaZIJjks1p7vIt5QZYm99+dNNHChGBdEGZzkItDuVgWX8KDWQzxkiEHB1icaes9XikgHhQ4LUIO7ry3VQTZdHud+MFLQ9RZ5ODIFibHQ8jA080vE7zs7IXzKxEpDXJwgIKzrVmqPwm8ifwvTyQxrCvJYwIHkM1ztgR91gCFYqzgALsNvhN3O5obmlCgAA6wSw4mG5pQoAMODIMNTSjQAWeAQoEaOEMTCjTBGZRQoAzOcIQCfXAGIhTogzMQodAJOEMQCl2BI7xQ6BAcsYVCt+AILBS6BUdgodA5OKIKxXiAI6RQjBM44gnF+IHTFAqwMov39YfxA6cpFOsf8ltF+L4ddlzBaQrFX0v5uF7fGW9wmkJxtkqI3w6rB3CaQnGnvhun7PQDTi0U71YIcSoU+gFHAKHQGzi8C4U+weFaKPQMDr9CoX9wOBUK/YPDqVBgAhwehQIr4HAnFBgChy+hwBY4HAkFtsDhSCgwBw4vQoFFcEqhOOBsAW6PxeylJ4yCA+w+olnH2JmB5yiweekJu+CAUCQFWoPnKLB56Qm74JRCcTrIGrzB4BoFpsEBZP6OFrmzJ4LnKLC2RoF1cIBdpJcVBoUCB+CwKRT4AIdBocAHOAwKBW7AYU0o8AQOU0KBM3DYEQr8gcOIUOAPHEaEApfgsCAUeAWnd6HAMTj9CgW+welRKPANTo9CgXtw+hIKIoDTi1AQBNz4CwVxwI2zUBAH3CCh0PU+WYQCpykUyXSBTp+jIBo4TaFIrdDhpoAEBKcWioSXkqusLvBRFwcxwamFYtVTUeUriRHcMARkPdwn964VPuGqHtVRL2ZvKdfJhopEsTj+o+O7slj8qrO7Mhh81XOJ6sVsXQgFtsH1cB7np+9Z+/u4z7OL65WevpdffeVvMbtTTxzaE3/oGqtTucFkb13ZLZ+o6HUb1/k8La3r92tgMfuK8JUTowF9oRjFZst9SZU7T+cydRoOQyppun90w2/Cd/+bzulSV1LaWrg3ZHMWUyCTSYX0o4vDj5S2KjbAFj0+vTE68bNdG7f/hyWSKtMLcx+1BJ18DR2pn3cG9Qoj33n69apMOE7XXvZnOMkGpZFx7x/ctOO678G8g2HTzNWbWwurM2KW3Vt678t1ruA7KfP8yk3F6y+dW+MGPsm62MzqDgrV08nKtPdlKz/5Ts+ZJnDaCek0Hs01os0O3IBSMY8M+i+C+gzNgsmuKuPcP/ZpZg1ta8wCDWqAVGNZwZO33pk9Q0nSdBo11Pa7r75/oeiuJlZOb9O8ldQ6Ii8DapYHqHYtW8h/+vW0eW7Ku57QFArddVXQR8ALwfmlnBs7PFzdA3637YOFXmB/ev+ovV9V8UD/49yIn0WLzWvsO6e4MeeP7tR9RR39UU6kwm5l9xTdfjKoaOBbQIeNKewQilV9GUHd1FmwaHG9jcwSCYm69sOkf91h1ldcjbW4/Jcdh+5zZL1i0YCNmk3MLSwhYVuHsP/xfsHZB7JykdX5EKvFswf1L/VdT6gIBQbB9fJaOALI5bcLaQ7Au5lQ/NasC7N4fjn30es3OicLa9IElROUtvK7t1eYRthZbwh9Y1rl7bGozCgwCM7Mxn6qNdQN9rJWNt5kindwALm3U9Dt4BXkJeW2C/oMrKup/jnk4+06yUyZUlTwGPwl7Z6vzf2jOKPAIDjI3DMowoHDqO2L+iLtFrR1k2Y42Jo5B4a5Pfu++pVy8CZ7VVPKdl9MU8cj6vmuAXxtGeAyjG6iNaPAIjjIxn/ttpCa7FuVIjkhGYfFeBkYFxVgC9n4RUSFPiwuYwNjlElqS67XLdoZ6aOOEgaU1DxmusnEEcKGoTKjwCQ4iOy1fn/GsmfJO49cyss+vP/2rJNfbJljC3qtxazIg8emfbn/ZMHd/JPpPwQcjl80TTUuA6MQ+RDFbRKcYRoKQoFAkmHOHBAPR/qqJJVwaxn0Wq5k8OhBymt8TK9q5A0ImiNmNoMSwWwBZovAoAQMTRDPKLBpcSpVMJ/iQQvwmNI/c1AZkwnZ2S/Ax5ms0gQ4JjY0zRiFAsvgRgfEbIo8RKKktBF+NiAUF0PluRDMKIgDznSyRmxJ2PC8JpvfppHANHa0l56QT/LTZ1kunjlhmBra2x8D/21piYfdirEmpOy8YpbdjKDEw/8TggfuwNMUfw+GSx85uBFbqbx8MiV384gp0Urwzc3S4DPVyelL06c7IDsneIoHCC6cvEjAga3fihuxGBnJht0G2sxzsoPTcm1pdAhuLNUiTN5RiYOUz0hfk8pAdZtGMbv81BYfZWTv/Nq+5QJw7Q2UpYj4DV6rjjLax5N4DyN1rqpoeQXmxKQX1nYOrgDM4aIi3uW9pPdCNC6Hwc+qPaQmK3trQh6LJ+HVZMdSfcJTyvriVXOL9h3WvNCGQmGjOYWEnhKovNLHe5oVHeK+PJM1MLQxfIt7XXKrtBsiO1Jg+U54BtL1Y6k4as9yT7I52Xv17j005oUSlsKepbW3cii/mmsLv3rwCoSbSirsbBeH0t4GFSC7+PnaQQ1tvIF7esKsGeg439ZTgx3ZFva2KIKz8vzDBwtUdMxtKJP72tVeWZB3Jy3KPyzxfHEtX7O1/NrC1Ng5MeeK85PkHTksncGu/joxQtGhLjL7ezpcQlrStTLuPXSfT50KAU9y8VRG2+KkVf7mA9PCsl8ePSuTzpPQU/3f11msdxErc5NGV5XJeKyizIRwF83+C9K8Lw/2qgiXK/k5byvV1S/6n+XNIkVk+rBUukZgelgN05KooyiRqogqKy8rLqumY2g6OBbXzjhX5hLpT37d8KxtMsVmEPkx/rZ92TtLL+QFfBIb2D8AJXsu2PTx5atxUFpabq1yqdTKc9PRM+tnQqFL1gQ5mTtRf+FJsvQN9neyIk+f8RZKFQF+opNR9LVn0s26elbppR2hlUeOFjYN2Xt3RHBidvGJvSn/iJnj7hHyUSHJbhJpxCwIWtDOyHrgcWhjAHnQyU3JASu3LBS18dRKbmVrL1+vkh+m1hSH4aYuCOqhyKLopyt/6W4KmToFrVkaJLx5OqdygMOQFz782aVN33yW65tRV//8p/qaq/GUCRRb9MF1MrNOPJi/baM3uOI25JAK2rm2djoy8zc2vqeh8oZjX5x7flP9zxA0eWgFhgEn5dfmJ+1jrkwIny5PJeY0NIgD3aaj3FMBtbQc183bAijysRvzSvr1hgFx0i+cyF/w4SpPtSJ1dbYIIG67XOPkTFW32Eh57VxI0NI59pu6xOySm3dnLgx1t4KkbEb2F3vTGKSw1YvAx0GHFvcoac7brvCOynVMblHCOypn6Z9Cl4zF8Wrm7ajJjFMF91Z5Yo2hk/yb5YkXlEHTlQePnhKmqkb056nRNFUNc3JS/ZW+fIz60JivOmefMoAKZIKY4wOHcIqqIJmrIvUdhMqnC09PKEDaGmMEh/BnNoIzgkNIAGE2o8UZwSEkgDCb0eKM4BASQJjNaHFGcAgJIMxmtDiE4P4PmprVAaUZKkcAAAAASUVORK5CYII=)
A. 25 m
B. 25√3 m
C.
m
D. 25√2 m
Answer:As we know that,
![](data:image/png;base64,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)
From given figure,
AB = 25 m.
∴ ![](data:image/png;base64,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)
⇒ ![](data:image/png;base64,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)
⇒
(∵
)
Question 12.Choose the correct answer:
In the adjoining figure ∠ABC =
![](data:image/png;base64,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)
A. 45°
B. 30°
C. 60°
D. 50°
Answer:From given figure,
![](data:image/png;base64,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)
![](data:image/png;base64,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)
⇒ ![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALAAAAAkCAMAAAAenkA5AAAAAXNSR0IArs4c6QAAAL1QTFRFAAAAAAAAAAA6AABmADo6ADpmADqQAGaQAGa2OgAAOgA6OgBmOjoAOjo6OjpmOjqQOmaQOma2OpC2OpDbZgAAZgA6ZjoAZjo6ZmY6ZmaQZma2ZpC2ZpDbZrbbZrb/kDoAkDo6kDpmkGYAkGY6kLyQkLbbkNv/tmYAtmY6tmZmtmaQtpA6tpBmttu2ttv/tv//25A625Bm27Zm27aQ29uQ29u22/+22//b2////7Zm/7aQ/9uQ/9u2//+2///bCu7ZXwAAAAF0Uk5TAEDm2GYAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAAZdEVYdFNvZnR3YXJlAE1pY3Jvc29mdCBPZmZpY2V/7TVxAAADtElEQVRYR+1YiXLaMBSUTCE4vUJM0ytAegRokwZCetg1+P8/q7tPkm3AgImdhs5UMzi2LD2tV6snbZT6Xw6ZgdjXWnvnpSFOdVupaStc6SDVK+Xu7Y1Si655MT/DML3bd6sdSw+cNowaEzXT/dIdR4WAFauXyzTgc/Qc8ZWK/dMwGQUqflkZMQEnAwleqkzXqWS/tWoDLfnwrUsyRm5OzGdUKQ7w4kLrjop069pvzfTRlegkV+lhXM4r5h6NQpV80ro1ieSRpOM3R1VgQ4SW4I5wv+g6nPFTEl6lEPCtNyTJc5Ax9YbgZtoYqlm+8pIcJYN2mHw0kuA9ByccUUkbqHpqjE+REL8GorLxUHGADHByMayCliIDac0hRIa/4MesJ14X3X6+ElXxMQYjle6ec50BFskSMEMkAtgE6OcBmw+pUEgAQxOMhZoBzlWWADx7DpUsAaYuMBfyQ1R52gWYWutsWZoRZh8F6SdMroeO4cYNZzZfCcCLbiecD44Ekrz6GlIpc2au8VEYeejenOQYpsbwivW6B8UR8C5JUGsScUPBpFmKz5AnOYfCBZMzBovTSrzAevL1yZU+j33vkq+gJHboXOkAwgoWA9281m0XIgCbGljxCrTfQhxPemjPReemswgTP1vJZZ+yvjPs01vabkgHkjy24ZEEGPu7hLOCh4u9apl2CiJIdh5zJTYmyewZMymnoI8JMM2N2rOsUg4FQmwWUbkQaCVb83KxW7MwLElyxLvYf0GVC6kGsLkeTskkIXNvL7K3LLqkPyNsZB65pvaUdZ2fWwTYqsAclrYwnH7AX7tJF11y9xqpwzFsAd9Pw3WyWRQr1bBTA1C7dSZZArus7XdAkhDUmYYdYOxXSBxmbziYEvuB+vIZl/kbLrrI6MIc6LiFyp54UGXMfRTpuPOzq+WI1Wd2MChxhvVODwrtw4Exh8PmWvpPR8y5trRtHbbt3p9E7W85OS25trRtDbatEuDMjq2GWXZtsrAlJ1W3bZUAx69o5sStyRnx3Bo9Bywyrk0ykbTddE67N4o9OtI+6YBuSdxafAzPFzj3Z72DdW1itdi2xBl9DwR7NhVd2oMT3Foy8N6Hqftbdm3CsGm72wXtCaN8c9ElD/PWrakfZ17f2QWDy7k2sznl/Gf5UWps6Vizbk1IDpzRE8CZa8sxvMu21YhwOZTJrSfQsHFrv/EMk2mMnpCbubbvru2jLrrtVGz6J84jprUdc1fo2ur4f9+DaabAtalH3Zof7Ev/rcB/ABiMiWDG+0IuAAAAAElFTkSuQmCC)
⇒ ![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGMAAAAkCAMAAACquHRzAAAAAXNSR0IArs4c6QAAAJlQTFRFAAAAAAAAAAA6AABmADo6ADqQAGaQAGa2OgAAOgA6OjoAOjpmOjqQOmZmOma2OpC2OpDbZgAAZgA6ZjoAZjo6ZmY6Zma2ZpDbZrbbZrb/kDoAkDo6kGY6kGaQkJCQkLyQkLbbkNv/tmYAtmY6tmZmtpBmtv//25A625Bm27Zm27aQ27a22/+22////7Zm/9uQ/9u2//+2///bI7ArWQAAAAF0Uk5TAEDm2GYAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAAZdEVYdFNvZnR3YXJlAE1pY3Jvc29mdCBPZmZpY2V/7TVxAAABxElEQVRIS+1WaXOCMBBNsBa0rRXthbWHeIBWCOT//7juQTw6iOMk9pjpfshmAtmXffvIIsS//QYGEsl2zrPMFueMTrHLB0cQeupjJD2W3uOOx7UcFtIur9tYejMkjMTPVGey9biWToR+fhdLzwaA9iaIUYaR0KP+xlNqLxm9oDqOMAaQQ+yLkr2eAz+Ky1GMn86C8TFvZyKPMHYsL1xhfOFKjyJhlLsKjuQBepE95rXedHyJj+M219z4pL1GqpA7dQRDj/ysCEk59Uafch+CDaWHnGz84JUkmwakXcI/YLkHz2g41ZK9TU0hIHU4REDVO83U9Q7DU8y2tdDLLjAPh5YyggRhBgZUYf4hkGFnlAcSr2OcqeBqIhJJR2cMHq1syxWRUg109DLky9lgxNVlLeWJJarDqOgpSVINeWwwGydGNnp1F0ApqjwqDPf1MDQBkCkz6QovPDY7roiwbT0MBqk8b1n3MxX0xewNhuIea54zYSxXKAh859bSFWIqvQgG2VuHMlJYFdQTBy7gjri1ku0f29zQ111l0tTXXWE09HV3ENW/w35fdxieQvH/yXdg1PwDuUvmQF93BwBMHejrLjF+PNYnXHM2UMnF1/wAAAAASUVORK5CYII=)
⇒ ![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAFMAAAAZCAMAAAB6r+I4AAAAAXNSR0IArs4c6QAAAJNQTFRFAAAAAAAAAAA6AABmADpmADqQAGa2OgAAOgA6OjoAOjpmOjqQOmaQOma2OpC2OpDbZgAAZgBmZjoAZjo6ZjqQZmY6Zrb/kDoAkDo6kDpmkGY6kLyQkLbbkNv/tmYAtmY6tmZmttv/tv//25A625Bm27Zm27aQ29u229v/2/+22////7Zm/9uQ/9u2/9vb//+2///bhzH7gwAAAAF0Uk5TAEDm2GYAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAAZdEVYdFNvZnR3YXJlAE1pY3Jvc29mdCBPZmZpY2V/7TVxAAABeElEQVRIS+1UXU/DMAxMOrYwWKF8tVBYBgsbo21I/v+vw3bSBok1i9AeQMIPUbecz76zW8b+4zc6oHiII/Vn75dHYgo05rZJ5rQ153kCvJ2lU1azRhcJeFkyZjdzzk/Ig+503Io2gzs64mEf1ozJ7InpisCxFDkF3Z2AJuLRnQNOoh7FAbzCHZisqfEcKnBevgp8grAVwkxxeYhTDQg5gY5dn5DdWIlPnThbumo9p2MeiY8dXqy8O7pevODvoJ1E+oMKm8Itcs8ph732Fuua7swVNkfwBS3JPk4v19DII32+7Uhr2KStCNqZ3d4IsNL36TkT/OwEKFJhiC1HhYOfvWwA9GOhuZuiT/mmHUXAfL+8mFTDcdIR/Ow5Fd2RnLFoeUmbBOzERtNF5udHOPQdzoj+dNWwRXyPoqtkq+mGABbXXVeoDDc0K3FN8/cCaqKrOEBHpK95dhHpEq4UnztvdA25KR+HOJ/TEvXmMME+hEr4xvyM+Q9mfQJvTiIV0WkNIgAAAABJRU5ErkJggg==)
⇒ ![](data:image/png;base64,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)
⇒ ![](data:image/png;base64,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)
Question 13.Choose the correct answer:
A man is 28.5 m away from a tower. His eye level above the ground is 1.5 m. The angle of elevation of the tower from his eyes is 45c. Then the height of the tower is
A. 30 m
B. 27.5 m
C. 28.5 m
D. 27 m
Answer:figure can be drawn as –
![](data:image/png;base64,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)
∠CDE=45°
⇒![](data:image/png;base64,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)
⇒ ![](data:image/png;base64,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)
Height of the tower = 28.5+1.5= 30 m
Question 14.Choose the correct answer:
In the adjoining figure,
. Then BC =
![](data:image/png;base64,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)
A. 85 m
B. 65 m
C. 95 m
D. 75 m
Answer:We know that,
![](data:image/png;base64,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)
⇒ ![](data:image/png;base64,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)
Given that, ![](data:image/png;base64,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)
⇒
(from figure AC = 85 m)
⇒ ![](data:image/png;base64,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)
Question 15.Choose the correct answer:
(1 + tan2θ)(1 – sinθ)(1 + sinθ) =
A. cos2θ – sin2θ
B. sin2θ – cos2θ
C. sin2θ + cos2θ
D. 0
Answer:We know that,
![](data:image/png;base64,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)
⇒ ![](data:image/png;base64,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)
Using formula, ![](data:image/png;base64,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)
⇒ ![](data:image/png;base64,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)
⇒ ![](data:image/png;base64,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)
(∵
)
⇒ ![](data:image/png;base64,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)
Hence, ![](data:image/png;base64,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)
Question 16.Choose the correct answer:
(1 + cot2θ)(1 – cosθ)(1 + cos θ) =
A. tan2θ – sec2θ
B. sin2θ – cos2θ
C. sec2θ – tan2θ
D. cos2θ – sin2θ
Answer:We know that,
![](data:image/png;base64,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)
And ![](data:image/png;base64,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)
⇒ ![](data:image/png;base64,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)
[∵ ![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAKcAAAAXCAMAAABZAq+rAAAAAXNSR0IArs4c6QAAAJBQTFRFAAAAAAAAAAA6AABmADo6ADpmADqQAGa2OgAAOgA6OjoAOjpmOjqQOmaQOma2OpC2OpDbZgAAZgA6ZjoAZjo6ZpC2ZpDbZrbbZrb/kDoAkDo6kGYAkGY6kLbbkNv/tmYAtmY6tmZmttvbttv/tv//25A625Bm27Zm27aQ29u22////7Zm/9uQ/9u2//+2///beP/uGAAAAAF0Uk5TAEDm2GYAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAAZdEVYdFNvZnR3YXJlAE1pY3Jvc29mdCBPZmZpY2V/7TVxAAACEElEQVRYR+1Wa1PCMBBMikBVUCoqD3kpFLDP///vvLskxTRtJymMjg75QDtpbm9zu5fA2HX8XgU+x5w/tE9/Zrh14uxpyQ7eynp9aeGZ4W5pk1vkmS+gsJFbJK0W4S4AIed86p4pHGGWWT9Kg757NKNwS4Djs9hT4rvzPJA9YxSffuyGqiIT4VYA6Zh3dm15hiLPugeaO2xTbUmG2wAkw22o80ygiT2oLD4HW2CRzmEC3Qcz3itVXi6JgWY8RdlhMguEhuYoI27AYlgcGU6yNwIISJ1n4k9YGkyhPPCcAVo+60X5G1QMZ47oDbUkCzCh4imSVdEsI0qLqHDFsxZAYuo8SUPUErOillSnZBCRuoSllihOIiHnNTwNRMPKZYC1wIPx3fMaT6WeeNLvht9/FLJAUkPgjFpdlaOcpAKx3HI6QI17dN11VJH7cMe7O+BMO+zsDJ7N9qpALPNs4c+K3QPTo98/9YnZMKRsBqauGhb1FE46AVjortTD7hH+RGsiUGFz0+8hnZ/y2ChzNRHNo7YRQAHqfRTyCcvfVyzmI+h32ebpGPSP8cseDia1pGAE/oL7CA1dNQxE2P6IQYrTaAZQ/S6bSh7Ue593l+hKX9zZ6RxehngIwBfvRb7QkmLAZeE91vkf4zREbE08oa0BsEsXwILf4PHtcKHUUvqJD1eel63y36hny/+fly3Vv0P7AhgKQB1hnOSRAAAAAElFTkSuQmCC)
⇒ ![](data:image/png;base64,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)
∵ ![](data:image/png;base64,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)
∴ ![](data:image/png;base64,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)
⇒ ![](data:image/png;base64,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)
Also, we know that,
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAIwAAAAXCAMAAADuv1eMAAAAAXNSR0IArs4c6QAAAJlQTFRFAAAAAAAAAAA6AABmADo6ADpmADqQAGa2OgAAOgA6OjoAOjpmOjqQOmaQOma2OpC2OpDbZgAAZgA6ZjoAZjo6ZmY6ZpC2ZpDbZrbbZrb/kDoAkDo6kGYAkGY6kLyQkLbbkNv/tmYAtmY6tmZmttvbttv/tv//25A625Bm27Zm27aQ29u22/+22////7Zm/9uQ/9u2//+2///b7GzUnwAAAAF0Uk5TAEDm2GYAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAAZdEVYdFNvZnR3YXJlAE1pY3Jvc29mdCBPZmZpY2V/7TVxAAAB5ElEQVRIS+1U23aCMBBMsCqt1UqxrWitt1aUllv+/+O6u4GQIOBBfWQfcoiezE5mJstYV3dU4NflfHIr3l1AGEtf1+xkbW5jcxeQjEL8mJERK1ApvI5YDmJgBLPW1/Snsr9YDMPEGV5HJgPRMRKX9w4amlh4cqduf97qlEcmQrtoaV85iIYRj3/8ajL1PXwV3+0ALIrtjH4rQgrExKgms+NQvYM4PdHbiTj3jja9ogi31B8UhjV1MtPOySRLzi3MVOxy64P0hqdowWEFUsJoUgYNFVv0IbZHG+ZzD3ojTY2MhKsqsRiE4hPUi+05C1BA/EgcHUSeVhgXbSIfssUQQfLiPCezlVsoGSPSLH4OGVpB/cgTo0oYBRkDrMhMQabkSEoPqV4ZtuOjb2UkEKlwtITRqIwIZjaZQoxKYBczwyBx/UPmLCSwgkzLzOQOnZORqqeQAVllm/C3wB4Wd6jKuonRpAx5VWsT82nOGKNBDwTGBQkrI6scNTFop6oYevaU7b9gSd7QoUh6ZQQYrowT2PxNw6K340KuIj5n4ghv28ePvd5PxxAriAR/oBlApchA+mAgwLiZ/DncizE5mHyzM8xv66X0PoptsoRTY3w/MKKs9+yjvzYPNGPUgnd/dAp0CtQq8A/CPDokmJw00AAAAABJRU5ErkJggg==)
∴ ![](data:image/png;base64,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)
Question 17.Choose the correct answer:
(cos2θ – 1)(cot2θ + 1) + 1 =
A. 1
B. –1
C. 2
D. 0
Answer:We know that,
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
Now,
⇒ ![](data:image/png;base64,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)
∵ ![](data:image/png;base64,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)
And ![](data:image/png;base64,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)
⇒ ![](data:image/png;base64,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)
⇒ ![](data:image/png;base64,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)
⇒ ![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAUgAAAAXCAMAAABeZSaXAAAAAXNSR0IArs4c6QAAAJNQTFRFAAAAAAAAAAA6AABmADo6ADpmADqQAGa2OgAAOgA6OjoAOjo6OjpmOjqQOmaQOma2OpC2OpDbZgAAZgA6ZjoAZjo6ZpDbZrbbZrb/kDoAkDo6kGYAkGY6kLbbkNv/tmYAtmY6tmZmtpBmttvbttv/tv//25A625Bm27Zm27aQ29u22////7Zm/9uQ/9u2//+2///bGwzmYgAAAAF0Uk5TAEDm2GYAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAAZdEVYdFNvZnR3YXJlAE1pY3Jvc29mdCBPZmZpY2V/7TVxAAADMElEQVRYR+2Ya3fbIAyGIVvT7JK0ybK17tqm2zovXeLL//91Ewgwd4xTdrZzwgentcWDeBGSMSHndlbgf1Pg95bSq0JOl2QXcnkytvv0QPazx8n9Yx1Lsos4HIf235c/4xbNOxSyv4fgPKRdrFfPyihFz2Tr6LQjf9Wir65T2tRr1LG6PLSby5h3L5+55M2HW2GVpI9mO2i/H8JsrIQJ8xSNhdYSo6avUKVI24sUeWQ7nF8Crd3SNxjcKs4CdPmchNl9JReDAV20Wim/WWpS/PlAnUbrq/mhrXDORzH18MC1LDW7OYRus9AdN3o1q+da0mpmG6bL5YiwDSE9aN/UdbMRSrrmwUH9NAwtyhSB7Yo2DRTnGdxhvzxY2zu4ARnxCDoeB9NuE4tgJSSGnE2X8CcKDTSPsc2IJMRCy5kFzUYICSaKiuaZtB2Lm45nOxlgzeKGtJtb+B9+WbCyqO2/zg/dhk16EFJp43VU+YUZw6IruEgQUXZwTmYyypy67fVJQjKNmJDsKvcY37bQdlJdHnnNUqtDOG1KY9Vm8IuDLLqCO5nWww4rxDFjInKHDkMLJvYMIV0aColXMVW5YfGXX5/oxx/G+mEIq4j0eqkJ6dI1uF2yRrAtNF91j1CWMlYEOj0083yaLqQAmUKiWPv39EJ/wcS7I3Mk4SFu0rErx9hCetiRiBS7Z0pWK7K1tc3niUgY8mVhbGOuTQeJNNymRiTqbrBfQcjSW5uIYsPiQ4SG3LAYrKxG8PQoMycqV/NiH31d8udIQR/g7tuoy36FHBlZcfkoI0d6aDWrwvj6I+tqTW9I/+0R7q6haoOavMJujYiERAYnm+j7O9eDNQxxi67g8GBNYLShuWxHSBMdLDZ53wWUw8gLDupfE1awMTyG2vFrQS8eWGZc4Hm6vYM/VubhEQ4Cs+vwMvf30IW+/cIsrPdIQZdwVsrYS6vWHLYxJxftFVI3GxGOrnlw0AANvJYipU82IzxyTRInm0lM0UmgT0GU6DvirD1h2NRZewJSdlHH9BMYRbomv89MGDXj608ufUDn9ixun/pimO9AzvfITPo//D0ycyZn87MCBRX4A8h0chOrY6uvAAAAAElFTkSuQmCC)
Hence, ![](data:image/png;base64,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)
Question 18.Choose the correct answer:
=
A. cos2θ
B. tan2θ
C. sin2θ
D. cot2θ
Answer:We know that,
![](data:image/png;base64,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)
∴ ![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAJMAAAAXCAMAAAA4Go3pAAAAAXNSR0IArs4c6QAAAJlQTFRFAAAAAAAAAAA6AABmADo6ADpmADqQAGa2OgAAOgA6OjoAOjpmOjqQOmaQOma2OpC2OpDbZgAAZgA6ZjoAZjo6ZmY6ZpC2ZpDbZrbbZrb/kDoAkDo6kGYAkGY6kLyQkLbbkNv/tmYAtmY6tmZmttvbttv/tv//25A625Bm27Zm27aQ29u22/+22////7Zm/9uQ/9u2//+2///b7GzUnwAAAAF0Uk5TAEDm2GYAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAAZdEVYdFNvZnR3YXJlAE1pY3Jvc29mdCBPZmZpY2V/7TVxAAAB50lEQVRIS+1U23aCMBBMsFZaq5ViW9Fab60oLbf8/8d1dwOEACKF4xv7kBPAZMaZ2WWsr64K/NicT7tecuX8PzHilw07G9ubkmqDET5ITmINkvm3oZdiNAVxZ5LScuRH1qiekzdvp2mC0QyEsXMSpwAtpOViRTYfHHNfxdLJPWValM+nGPL+ehA47aYJ392Db6GZRylcHk6+3RpOl6EyDJYDiVacG5iV0ObGO0LBhhuAHwClAHmAdbDGljTyUtVw2nOowVGcH6mTA86dk0k9nWHkQcTy3hcfoENoLpiHUuAmshzggDcpTpJZK07SEkyl2OEuNMdb5sLdCiPhRCD078Mnn6SjN6ShVvIk5ymnnXyEykesmXeUgGTRdM+D7Pn4K3MG+FRYFFPLNdepzFnlSXEqAGkgYPLwmKgIpldw6pynpJ2ENzcpDUSsAFQA8cyR+kVVlMnOGDImq6V3mKfUtjInmRkCwSjhY+ZMlUUujQ6t18tZv5onMvCid0yBUJfZkJeAL5g4wTBwcXOA46rAa5jjWiQrOGkztTAzzRk7fMISvaJtgTRQv1CBRCuweIKdBhPDeEs2w42OCVPaeK4bBGIN1/A7mm9UOie2x4kHY2r6a3EnxFRhn+mkroLUEei/9Qr0CnRS4A/htDokUDnzDwAAAABJRU5ErkJggg==)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
![](data:image/png;base64,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)
Where,
and ![](data:image/png;base64,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)
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAKwAAABMCAMAAADHq6xoAAAAAXNSR0IArs4c6QAAAJZQTFRFAAAAAAAAAAA6AABmADo6ADpmADqQAGa2OgAAOgA6OjoAOjpmOjqQOmaQOma2OpC2OpDbZgAAZgA6ZjoAZjo6ZmY6ZpDbZrbbZrb/kDoAkDo6kGYAkGY6kLyQkLbbkNv/tmYAtmY6tmZmttvbttv/tv//25A625Bm27Zm27aQ29u22/+22////7Zm/9uQ/9u2//+2///bqiqxhAAAAAF0Uk5TAEDm2GYAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAAZdEVYdFNvZnR3YXJlAE1pY3Jvc29mdCBPZmZpY2V/7TVxAAAD4ElEQVRoQ+1Z63raMAyN6dpmo+3K6FbougJdy2CDQN7/5Sb5FidOfAvxyLf4R6D9gn0sH8mSTpIM43+xwPZh0ZetHqbk4r0nYLPbt3VvwIJNB7BdEWuw7GDZwcG64gBadtSXGyx/TgkhH751aIxi6t9TQu6irNR+keOXl2TTm2OE/WYfOefyZ7Dyrr0FXGYITdXW92z2fH69O0yuXZZq+46WquXzWTGntJ6+zEZQdo90oI+uh56qlcA2Y1hL91peAQWyVNliFTT4vc8w7bmSUKhgV7jGxXu++UR9f0/I7FdKo8Ae/6T4gAXwPE44KTq2rgEsO10kZb7Eb1k6XiRrMgNsuA0FLIMcMJQY6OKoVrAUAj1n/igZkeEmJAysEgOdHFUBu5TU4v5ScLYAWznxIw0EwZYtYqCTo9otm28f4HIUlq2Abc9ZHgPtjgobs4LF81FoUPUlushxYogGwB+4nUe4W/i8eYNFD0/wD3aT8BjotmkrWHo+jTRg2dPeWKpm6WNygO3Qzzm8ms+vdvl33GUiYiADa6NTJVUrXwrpffL6Ax6Hr+hge8aFcpQC0sINZoxc1PgwlogHt01PJ7uB/8oY6OCoeqpWApus8PQg3N79mZBZhszFScvI4BIcfTZFLUEc9kmfKzL+iT8pYmB7Rw0InDU/KYNlJw33zGWpI+PG2dMA8rQsvL5Ny6HZxVG7xyq9Bt2KcZbSVTCZI3Bw1AhYwePJY5K/LsBBwVURMQ0L07JlHRw1CtgE0p/LF2QquChG18MTfLmtJOx1jpqNMSr3ZURJlNsZQwRdzFW6TOu1ZKgdbOwv8JvcJ4G3vtuAyvo7/YXSTBJs21139fue0uBcHMylB3AmoSuiXKP2ulwKPY3cgXKNy2lU11J7XU6FXp0n+osK5o6MvkbRoxHfnAq9k4C1dGT0NQrvFL0up0LvJGBhElMNplV6vEeDOQnvH4Unzf40MIPVKj3ZgZO9LrdCL4ZltUpPgC16XQ6FXsM919Ky1SSkptJjnFV6XeGFXkuwaAK1uq2p9LTrrwVnA5I/g4M1WlY92LBCL1CuMYAV/ZGi0qtpcUct9EwdGa3So/0YKP2UEa/Qs3VkqpUe9lJE5i4AWzsyXWW9w7w9s4BPHdazrZ0pXE+tJvIuaDtaDl+t5p+CxcV5Dh+cwkfdgI9WEwkYV2dQUFVVVU+tJg5Yqc5w0Yerqr5aTRywUp2pqKo+Wk0cpLiKUGfKctr5aTXMIlydadL+wlP4bgxO1ZlGoTIshe8EqVRnGsFGTeHNe5TqDL3B6lTVeCm89TSEOkMF1XpVdUjhrVYcXjhjC/wFXJN9rCqX2XcAAAAASUVORK5CYII=)
![](data:image/png;base64,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)
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAKgAAAAtCAMAAAAN6NDtAAAAAXNSR0IArs4c6QAAAJZQTFRFAAAAAAAAAAA6AABmADo6ADpmADqQAGa2OgAAOgA6OjoAOjpmOjqQOmaQOma2OpC2OpDbZgAAZgA6ZjoAZjo6ZmY6ZpDbZrbbZrb/kDoAkDo6kGYAkGY6kLyQkLbbkNv/tmYAtmY6tmZmttvbttv/tv//25A625Bm27Zm27aQ29u22/+22////7Zm/9uQ/9u2//+2///bqiqxhAAAAAF0Uk5TAEDm2GYAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAAZdEVYdFNvZnR3YXJlAE1pY3Jvc29mdCBPZmZpY2V/7TVxAAADJklEQVRYR+1Za1PbMBCUQgG3gbQmtCSUkkDBJG3ix///c707S7Lkh062w5TMRB+cZMbaW+/dydJGiNP40Ar8mUs5G8vwICB+EvnNo9hMVuOYHgQkgEL6WREtHkDdXcCMllv6gGxvhymTfCsDF8vLXRZfhhDdy0XttnCQbC7PXu3ZxdICMw/cpLHRJbrHEqALOxpEw0HS65fEQ7Q7fmJaaX0BaU+julYsa7ihH4iH6JOEcfZabL5Qj++lXLxF1O17/EncIPNwzWNVCK38snspJ7Mdzh8OIlhFsQiLNeY2jaYrkUC0PMZHsIiWdDtGsbzYFT9BeNJ9IAjoH5R6FYMCOeKVnKX0ECW50ytDdBCIQ3RdxoSheqOq0YpoLcs5NbxXUfEkp79R7VEgAYoW29uIEk2BakRDalRAkZ/D2tJJNAiETT3WaHcMQV2fx0zXbyMQvpNoEAhLlPLfHSOhddQtdLersDyJyhgQqFF3rXYXfGic519wyb5j1mnBrjUTiIlvJt/qlEZ3IpuDojR/GEjxANUnP/2oJHCIQhtMFnCRs7+xXKRYqdjlLit4uU2++tb37B4mXqOgMH8oSMgL5HTPSYGTAq0KpNOXI1EmbJP73x5G73KsLce7cGlsbMZESWAVp2F2S4f40sGoJ7SDYoiOedr3mnuEqf/gzWQydTzL0yGKy7aNRjglFgyPMsQpsW2jHk5JXSILhkXxOyVN8SvvRH/r4ZS05VLBcCiMU9JErjpR20YjnBKEVzABKL4zk0jBB8W3A35ewR5BeScQQNtGAQfIOohQzgnyVDABKN7jMp124IBJn0s8wGlFjW1UhvCd6xsgxjmp3Ccexe+UUEJgrJEMnSEV0cp74p2SBohxTioLi0fxOiXaayg/6VoStbwn1ilpAdHOSQXDomA1d3tPbgxKT+O1xlZXC4h2TqpeZVH6ELUUtVcDzilpURSmk3NiDQ7FT1S3CFa/W6NWCM4paYIY56QHChL1OCWJvBPF8wrcDTBLFFvwThwbnHVKGiDGObGIciicUwIG8/kjLndgcpT/fJB34gzWKamDaOekH4ob9PQrWIF/loN0rxX3/zUAAAAASUVORK5CYII=)
![](data:image/png;base64,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)
Hence, ![](data:image/png;base64,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)
Question 19.Choose the correct answer:
=
A. cosec2θ + cot2θ
B. cosec2θ – cot2θ
C. cot2θ – cosec2θ
D. sin2θ – cos2θ
Answer:We know that,
![](data:image/png;base64,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)
∴ ![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAJMAAAAXCAMAAAA4Go3pAAAAAXNSR0IArs4c6QAAAJlQTFRFAAAAAAAAAAA6AABmADo6ADpmADqQAGa2OgAAOgA6OjoAOjpmOjqQOmaQOma2OpC2OpDbZgAAZgA6ZjoAZjo6ZmY6ZpC2ZpDbZrbbZrb/kDoAkDo6kGYAkGY6kLyQkLbbkNv/tmYAtmY6tmZmttvbttv/tv//25A625Bm27Zm27aQ29u22/+22////7Zm/9uQ/9u2//+2///b7GzUnwAAAAF0Uk5TAEDm2GYAAAAJcEhZcwAADsQAAA7EAZUrDhsAAAAZdEVYdFNvZnR3YXJlAE1pY3Jvc29mdCBPZmZpY2V/7TVxAAAB50lEQVRIS+1U23aCMBBMsFZaq5ViW9Fab60oLbf8/8d1dwOEACKF4xv7kBPAZMaZ2WWsr64K/NicT7tecuX8PzHilw07G9ubkmqDET5ITmINkvm3oZdiNAVxZ5LScuRH1qiekzdvp2mC0QyEsXMSpwAtpOViRTYfHHNfxdLJPWValM+nGPL+ehA47aYJ392Db6GZRylcHk6+3RpOl6EyDJYDiVacG5iV0ObGO0LBhhuAHwClAHmAdbDGljTyUtVw2nOowVGcH6mTA86dk0k9nWHkQcTy3hcfoENoLpiHUuAmshzggDcpTpJZK07SEkyl2OEuNMdb5sLdCiPhRCD078Mnn6SjN6ShVvIk5ymnnXyEykesmXeUgGTRdM+D7Pn4K3MG+FRYFFPLNdepzFnlSXEqAGkgYPLwmKgIpldw6pynpJ2ENzcpDUSsAFQA8cyR+kVVlMnOGDImq6V3mKfUtjInmRkCwSjhY+ZMlUUujQ6t18tZv5onMvCid0yBUJfZkJeAL5g4wTBwcXOA46rAa5jjWiQrOGkztTAzzRk7fMISvaJtgTRQv1CBRCuweIKdBhPDeEs2w42OCVPaeK4bBGIN1/A7mm9UOie2x4kHY2r6a3EnxFRhn+mkroLUEei/9Qr0CnRS4A/htDokUDnzDwAAAABJRU5ErkJggg==)
⇒ ![](data:image/png;base64,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)
⇒
(∵
)
⇒
(∵
)
Also,
![](data:image/png;base64,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)
![](data:image/png;base64,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)
Question 20.Choose the correct answer:
9tan2θ – 9 sec2θ =
A. 1
B. 0
C. 9
D. –9
Answer:We know that,
![](data:image/png;base64,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)
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Now, from given questions –
⇒ ![](data:image/png;base64,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)
⇒
[from equation (i)]
⇒ ![](data:image/png;base64,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)
Choose the correct answer:
(1 – sin2θ)sec2θ =
A. 0
B. 1
C. tan2θ
D. cos2θ
Answer:
Given trigonometric equation =
We know that,
∴
⇒ (1–)
=
⇒ (1–)
=
(∵
)
⇒ (1–)
= 1
Hence, (1–)
= 1.
Question 2.
Choose the correct answer:
(1 + tan2θ)sin2θ =
A. sin2θ
B. cos2θ
C. tan2θ
D. cot2θ
Answer:
Given Trigonometric equation =
We know that,
∴ =
⇒ =
⇒ =
(∵
)
=
=
Hence, =
.
Question 3.
Choose the correct answer:
(1 – cos2θ)(1 + cot2θ) =
A. sin2θ
B. 0
C. 1
D. tan2θ
Answer:
Given trigonometric equation is =
As we know that,
∴
And
⇒
⇒
⇒
⇒
Hence, ⇒
Question 4.
Choose the correct answer:
sin(90° – θ)cosθ + cos(90° – θ) sin θ =
A. 1
B. 0
C. 2
D. –1
Answer:
From Trigonometric identities –
⇒
⇒
Using above formulas.
⇒
⇒
⇒ (∵
)
Question 5.
Choose the correct answer:=
A. cos θ
B. tan θ
C. cot θ
D. cosec θ
Answer:
Given,
⇒ [taking (1+cosθ) as L.C.M.)
⇒ (∵ sin2θ = 1 – cos2θ)
⇒
⇒
⇒
⇒
Hence,
Question 6.
Choose the correct answer:
cos4x – sin4x =
A. 2sin2 x – 1
B. 2cos2 x – 1
C. 1 + 2 sin2x
D. 1 – 2 cos2x
Answer:
we can write –
∴
Now applying formula,
⇒
We know that,
⇒
⇒ (∵
⇒
⇒
Hence,
Question 7.
Choose the correct answer:
If , then the value of
=
A. cos θ
B. sin θ
C. cosec θ
D. sec θ
Answer:
Given,
∴ a=x tanθ
⇒
⇒
⇒
⇒ (∵ sec2θ – tan2θ =1)
⇒
⇒ (∵
Question 8.
Choose the correct answer:
If x = a secθ, y = b tan θ , then the value of =
A. 1
B. –1
C. tan2θ
D. cosec2θ
Answer:
Given,
⇒
⇒
⇒
⇒ (∵
)
Question 9.
Choose the correct answer:=
A. cot θ
B. tan θ
C. sin θ
D. – cot θ
Answer:
We know that,
⇒
⇒
⇒ (∵ cos2θ +sin2θ=1)
⇒
⇒
Hence, proved
Question 10.
Choose the correct answer:=
A. tan θ
B. 1
C. –1
D. sin θ
Answer:
We know that,
⇒
⇒
⇒
⇒
⇒ (∵
)
Question 11.
Choose the correct answer:
In the adjoining figure, AC =
A. 25 m
B. 25√3 m
C. m
D. 25√2 m
Answer:
As we know that,
From given figure,
AB = 25 m.
∴
⇒
⇒ (∵
)
Question 12.
Choose the correct answer:
In the adjoining figure ∠ABC =
A. 45°
B. 30°
C. 60°
D. 50°
Answer:
From given figure,
⇒
⇒
⇒
⇒
⇒
Question 13.
Choose the correct answer:
A man is 28.5 m away from a tower. His eye level above the ground is 1.5 m. The angle of elevation of the tower from his eyes is 45c. Then the height of the tower is
A. 30 m
B. 27.5 m
C. 28.5 m
D. 27 m
Answer:
figure can be drawn as –
∠CDE=45°
⇒
⇒
Height of the tower = 28.5+1.5= 30 m
Question 14.
Choose the correct answer:
In the adjoining figure, . Then BC =
A. 85 m
B. 65 m
C. 95 m
D. 75 m
Answer:
We know that,
⇒
Given that,
⇒ (from figure AC = 85 m)
⇒
Question 15.
Choose the correct answer:
(1 + tan2θ)(1 – sinθ)(1 + sinθ) =
A. cos2θ – sin2θ
B. sin2θ – cos2θ
C. sin2θ + cos2θ
D. 0
Answer:
We know that,
⇒
Using formula,
⇒
⇒
(∵ )
⇒
Hence,
Question 16.
Choose the correct answer:
(1 + cot2θ)(1 – cosθ)(1 + cos θ) =
A. tan2θ – sec2θ
B. sin2θ – cos2θ
C. sec2θ – tan2θ
D. cos2θ – sin2θ
Answer:
We know that,
And
⇒
[∵
⇒
∵
∴
⇒
Also, we know that,
∴
Question 17.
Choose the correct answer:
(cos2θ – 1)(cot2θ + 1) + 1 =
A. 1
B. –1
C. 2
D. 0
Answer:
We know that,
Now,
⇒
∵
And
⇒
⇒
⇒
Hence,
Question 18.
Choose the correct answer:=
A. cos2θ
B. tan2θ
C. sin2θ
D. cot2θ
Answer:
We know that,
∴
Where, and
Hence,
Question 19.
Choose the correct answer:=
A. cosec2θ + cot2θ
B. cosec2θ – cot2θ
C. cot2θ – cosec2θ
D. sin2θ – cos2θ
Answer:
We know that,
∴
⇒
⇒ (∵
)
⇒ (∵
)
Also,
Question 20.
Choose the correct answer:
9tan2θ – 9 sec2θ =
A. 1
B. 0
C. 9
D. –9
Answer:
We know that,
Now, from given questions –
⇒
⇒ [from equation (i)]
⇒