Class 8th Mathematics AP Board Solution
Exercise 13.1- Draw the following 3-D figures on isometric dot sheet. (i) pi (ii) pi (iii) a…
- Draw a cuboid on the isometric dot sheet with the measurements 5 units × 3…
- Find the number of unit cubes in the following 3-D figures.
- 8 Find the number of unit cubes in the following 3-D figures.
- 9 Find the number of unit cubes in the following 3-D figures.
- 8 Find the number of unit cubes in the following 3-D figures.
- Consider the distance between two consecutive dots to be 1 cm and draw the…
- Find the areas of the shaded regions of the 3-D figures given in question…
Exercise 13.2- Count the number of faces , vertices , and edges of given polyhedra and verify…
- Count the number of faces , vertices , and edges of given polyhedra and verify…
- theta Count the number of faces , vertices , and edges of given polyhedra and…
- eminus or plus ty set Count the number of faces , vertices , and edges of…
- delta Count the number of faces , vertices , and edges of given polyhedra and…
- 8 Count the number of faces , vertices , and edges of given polyhedra and…
- left arrow Count the number of faces , vertices , and edges of given polyhedra…
- delta Count the number of faces , vertices , and edges of given polyhedra and…
- Is a square prism and cube are same? explain.
- Can a polyhedra have 3 triangular faces only? explain.
- Can a polyhedra have 4 triangular faces only? explain.
- Complete the table by using Euler’s formula. |c|c|c|c| f&8&5&? v&6&?&12…
- Can a polyhedra have 10 faces, 20 edges and 15 vertices?
- Complete the following table
- 8 Name the 3-D objects or shapes that can be formed from the following nets.…
- square Name the 3-D objects or shapes that can be formed from the following…
- phi Name the 3-D objects or shapes that can be formed from the following nets.…
- overbrace0^0 Name the 3-D objects or shapes that can be formed from the…
- z Name the 3-D objects or shapes that can be formed from the following nets.…
- 8 Name the 3-D objects or shapes that can be formed from the following nets.…
- square Name the 3-D objects or shapes that can be formed from the following…
- Draw the following diagram on the check ruled book and find out which of the…
- Answer the following questions. (a) Name the polyhedron which has four…
- Write the names of the objects given below. (a) varnothing (b) b (c) delta (d)…
- Draw the following 3-D figures on isometric dot sheet. (i) pi (ii) pi (iii) a…
- Draw a cuboid on the isometric dot sheet with the measurements 5 units × 3…
- Find the number of unit cubes in the following 3-D figures.
- 8 Find the number of unit cubes in the following 3-D figures.
- 9 Find the number of unit cubes in the following 3-D figures.
- 8 Find the number of unit cubes in the following 3-D figures.
- Consider the distance between two consecutive dots to be 1 cm and draw the…
- Find the areas of the shaded regions of the 3-D figures given in question…
- Count the number of faces , vertices , and edges of given polyhedra and verify…
- Count the number of faces , vertices , and edges of given polyhedra and verify…
- theta Count the number of faces , vertices , and edges of given polyhedra and…
- eminus or plus ty set Count the number of faces , vertices , and edges of…
- delta Count the number of faces , vertices , and edges of given polyhedra and…
- 8 Count the number of faces , vertices , and edges of given polyhedra and…
- left arrow Count the number of faces , vertices , and edges of given polyhedra…
- delta Count the number of faces , vertices , and edges of given polyhedra and…
- Is a square prism and cube are same? explain.
- Can a polyhedra have 3 triangular faces only? explain.
- Can a polyhedra have 4 triangular faces only? explain.
- Complete the table by using Euler’s formula. |c|c|c|c| f&8&5&? v&6&?&12…
- Can a polyhedra have 10 faces, 20 edges and 15 vertices?
- Complete the following table
- 8 Name the 3-D objects or shapes that can be formed from the following nets.…
- square Name the 3-D objects or shapes that can be formed from the following…
- phi Name the 3-D objects or shapes that can be formed from the following nets.…
- overbrace0^0 Name the 3-D objects or shapes that can be formed from the…
- z Name the 3-D objects or shapes that can be formed from the following nets.…
- 8 Name the 3-D objects or shapes that can be formed from the following nets.…
- square Name the 3-D objects or shapes that can be formed from the following…
- Draw the following diagram on the check ruled book and find out which of the…
- Answer the following questions. (a) Name the polyhedron which has four…
- Write the names of the objects given below. (a) varnothing (b) b (c) delta (d)…
Exercise 13.1
Question 1.Draw the following 3-D figures on isometric dot sheet.
(i)
![](data:image/jpeg;base64,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)
(ii)
![](data:image/jpeg;base64,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)
(iii)
![](data:image/jpeg;base64,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)
(iv)
![](data:image/jpeg;base64,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)
Answer:(i)![](data:image/jpeg;base64,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)
(ii)![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAoHBwkHBgoJCAkLCwoMDxkQDw4ODx4WFxIZJCAmJSMgIyIoLTkwKCo2KyIjMkQyNjs9QEBAJjBGS0U+Sjk/QD3/2wBDAQsLCw8NDx0QEB09KSMpPT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT3/wAARCAE7APMDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD2OWaOBN80iRrnGXYAVD/aNl/z92//AH9X/GquuXFvaQW893JHFBHcKXeQgKowepNXljhdQypGVIyCAORU3behpaKSbI/7Rsv+fu3/AO/q/wCNH9o2X/P3b/8Af1f8aSLTbSG6nuI7dBLPt8xsfewMCluZLOzjElyYYkLBQz4AyTgD8TR7wvc8w/tGy/5+7f8A7+r/AI0f2jZf8/dv/wB/V/xqXyYv+eaf98iobbTbSz83yLdE82QyvxnLHqaPeD3PMX+0bL/n7t/+/q/40f2jZf8AP3b/APf1f8aJns7eSKOYwo8zbY1bALnGcD14qXyIv+eaf98ij3g9zzIv7Rsv+fu3/wC/q/40f2jZf8/dv/39X/Gks9NtLC2W3trdEiUkhcZ6nJ6/WlZ7RLmO3YwieRSyRnG5gOpA9s0e8HueYf2jZf8AP3b/APf1f8aP7Rsv+fu3/wC/q/40tzYW13bSW88CPFKpV1xjIPWnR2sEUaRpEgRAFUY6AUe8HueYz+0bL/n7t/8Av6v+NH9o2X/P3b/9/V/xoR7OS5kt0MLTRAF4xjcoPTI96S70yzvY1jubdHRXWQDGPmByDxR7we55i/2jZf8AP3b/APf1f8aP7Rsv+fu3/wC/q/41L5MX/PNP++RUUD2l0JDAYZBG5jfbg7WHUH3o94Pc8w/tGy/5+7f/AL+r/jR/aNl/z92//f1f8aSXTbOe5guJLdGltyTG2Pu5GDUxihVSWjQAcklRR7we55kX9o2X/P3b/wDf1f8AGj+0bL/n7t/+/q/40tu1rd26T2/kyxSDKugBDD2NN/s20+3fbPs6faPL8rfj+HOcY+tHvB7nmL/aNl/z92//AH9X/Gj+0bL/AJ+7f/v6v+NLcG1tYHnuPKjijG53YABR6k09I4XRWRIyrDIIA5FHvB7nmR/2jZf8/dv/AN/V/wAaP7Rsv+fu3/7+r/jSQabZ20s8kNuivO++Q4+8cYz+QpZ3tLby/PMMfmOI03YG5j0A96PeD3PMP7Rsv+fu3/7+r/jR/aNl/wA/dv8A9/V/xqXyYv8Anmn/AHyKhtNMs7C3EFtbokQJYLjPJOT19zR7we55i/2jZf8AP3b/APf1f8aP7Rsv+fu3/wC/q/40GSzF2tqTCLhkMgjwNxUHGcemaW5sLa7tpLeeBHilUq64xkGj3g9zzE/tGy/5+7f/AL+r/jUkV1BcEiGeKQjkhHBx+VJHawRRrGkSBUAUDHQCqUE1tJ4gnigeMyQwKJVQjKEsSM/hSvJbjSi07GnRRRVmZQ1WJJltI5UV0a4UFWGQeD2q8AAAAMAdAKzNflngtYJLS3+0zrOpSHeE3nB4yeBWkhZkUsu1iOVznBqVuy5fCiGK7WW8nthHKGhCksyEK2fQ9+nNSyRJKu2RFdcg4YZGafVe7luIkjNtbidjIqsC4Xap6tz1x6VRBYqva3a3RmCxyp5MhjPmIV3Edx6jnrViigBjRo7KzorMhypIztPtT6gmluEubdIrcSROT5sm8Dyxjjjvk8VPQBXsrxb63EyRyxqWK7ZUKtwcdD9KlMaGRZCil1BAYjkA9eafUDS3AvkiW3BtzGWabeOGzwu3r070AOuJxbW0kzK7LGpYqi7mOPQdzToZRPBHKoZQ6hgGGCMjuOxp9FADBGiyNIqKHbAZgOTjpk1FeXi2UAleOVwWVcRIWPJx0HalhluHup0ltxHCm3ypN4Pmcc8dsGp6ACmJGke7y0Vdx3HaMZPrT6r2ktxLG5urcQMHZVUOGyoPDcevpQAT3i29xbwtHKxnYqrIhKrgZ+Y9qnIyMHpS02QssbmNd7gEqucZPpmgAjjSJAkaKiLwFUYAqE3ai/W08uXe0Zk37DswDjG719qfavLLaxPcReTMygvHu3bT3Ge9S0ANdElRkkVXRhgqwyDSgBQABgDoBUN5JPDaSPawCeZR8kRcLuP1PSplJKgkYOOR6UAQQXa3FxcQrHKpgYKxdCFbIz8p7ipXjSTb5iK207huGcH1p9QXMtxG8AgtxKryBZCXC+WuPve/bigCeq9leJfQeakcsY3MuJUKng46HtViigBvlp5gfau8DG7HOPTNMuZxbW0szK7LGpYqi7mOPQdzTGluBfRxLbg25Qlpt4+VuMDb1OeeasUAMhlE0McqhlDqGAYYIz6j1qmkaJr0jKiqz24LEDlvmPWr9ZlvJPJ4guRNAIkSICJt4bzFz1x254xUy6Fw6+hp0UUVRBS1H71n/wBfC/yNXazNdtzd20ECzywGSdQJYTh14PINaMaeXGqbmbaANzdT7mpW7Ll8KIYluheTmV4jbEL5SqpDA/xZPf2qxSZ5x3qC8tmuo0VbiWAq6vuiIBIB+6fY96ogsVBbLdKZvtTxMDITF5akYTsDnqanpM5oAWiq89s01xbyi4ljELElEI2yZGMN/OrFAFeyW6W2AvniebJyYlIXGeOD7YqxSAg9Kga2Zr6O4+0ShUQoYQRsbOOSPUUAPuRMbaQWzIs5U+WXGVDdsj0p0QkEKCYqZNo3lRgE98U7pR1oAWq94t00IFk8SSb1yZVJG3PPTviiK2aO7nnNxK6y7cRMRtjwP4fr3qcnHWgBaKKr2ls1qkitcSzl5GcGQglQT90ew7UAE63RuLcwPEsIJ84OpLMMcbT25qxSZA/Gkdd8bKGKlgRuHUUAOquVuvt4YPF9k8sgrtO/fnrnpjFOtIGtrWKFppJmRQpkkOWb3PvUuRnHegBaKgvLdrq0khWeWBnGBJEcMvuKmUbVAyTgYyepoAggW6E9wbh4miLDyQikFVxzu9TmrFJn9KhubZrhoCtxLD5UgciMgbwP4W9qAJ6r2a3S2+L14nm3HmJSFxnjr3xirFICD0oAWorkTG2lFqyLOVPls4yobtkelMe2Z76K4FxKqojKYQRsbOOSPUY/WpycDJ6UANiEghQTFTJtG4qMAnviqo/5DZ/69x/6EaudazILZofEdzIZ5ZBNApCOQVjwSML9amXQuHX0NSiiiqIM3W7qCxgt7m6lWKCKdWeRzgKMHrWgjrJGroQysAQR3FU9TVX+yK6hlNwuQRkHg1dAAAAGAKlbsuXwohjsoIryW7SPE8yqrvk8gdP50t1dwWUPm3UqRR7gu5jgZJwB+dNiu1lvJ7cRyq0IUl2QhWz/AHT396mdFkGHUMOuCM1RA6oLaygtGnaCPYZ5DLIcn5mPGf0qeq9rdrdGYLHKnlSGM+YhXcR3HqPegB093BbSQpNKiPO+yMMfvtjOB+AqamsisVLKCVOQSOhqK7vLexgae6mSKJerOcUAFnZQWEHk2sflxlmfGSeScnr7mo7vVbCwnigvLy3gllBZFlkClgOuM/Ws6DUdQ1yMNp8L2FqSR9ouU/eMP9iM9Pq35GrVv4f0+FWMsC3Ur/fluR5jt9Sf5DigAn1XR7mCSGbULJo5FKsv2heQeveiDVdHtoI4YtQsljjUKo+0LwBwO9Fzpml21tLM2l27iNSxWO2VmOOwGOTTodJ0uaFJBplqodQ2Gt1BGfUY60ANXxFo7TPCuq2JkQAsv2hcgHp39qZeX+iX8Hk3V9ZSR7g203CjkHI6H1FWP7G03GP7Os8f9cF/wrJ1SfRdPbyYdJhvbvIH2e2tlZlycZY4wo9zQBqjW9LPTUrM/wDbdf8AGo4vEejT7/K1WxbYxRsTrwR261nJ4Str5hJrFrZMgOVtIYVES+m44y5+uB7Vrf2Npn/QOs+P+mC/4UAV57/RLmeCaa+smkt2LxH7QvykjHr6VP8A25pQ/wCYlZf9/wBP8agnsNKgubeE6VCxnJAZLVSq4GfmOOKsf2Lpn/QOs/8Avwv+FAEcPiLR7iJZYdVsXRhkMJ15/Wo2v9Ea+S8a+sjcIhjV/tC8KTkjr7VYOjaaeunWf/fhf8KxpptMnvTZaRo1rezgZaUQqII/958dfYZNAGtJr+kwxPLJqlkqIMsxnXgfnV5HWWNXRgyMAVI7iuU1LwpZR6Nf3l9BbXF3HaymPbbqkcR2H7i4/Ukmui0n/kD2X/XBP/QRQBJDZQW9xPPFHtluCGlbJ+YgYH6UtzdwWgjNxKkYkcRpuONzHoB7023u1uJ7iJY5UMDBSzoQGyM5U9xUzIr43qGwcjIzg0AOqCzsoLCExW0floXZyMk8k5J/Op6r2V2t7b+cscsY3Mu2VCrcHHT0oAcbuAXi2hlQXDIZBHn5ioOM49M064gjureSCdQ8UilHU9weop2xd+/aN4GN2OcUy5nFtbSzsjuI1LFY13McdgO5oAdFEkEKRRrtRFCqPQDgVQguoLjX50hlV3ghCShTyjZzg/gavxSCaFJArKHUNhhgjPqPWqiqq645VQC1uCSB1+apl0Lh19C9RRRVEGZrsk8VtBJaQC4nWdSkRfYHODxu7VoxlmjUuu1yAWXOcH0zVTUfvWf/AF8L/I1dqVuy5fCgqveSXEUG60gWeXco2M+zjPJz7DmiNLkXszyTI1syqI4wmGU9yT3zxViqICiiq9slyjzm5mSRWkJiCpt2J2B9T15oAzvEGp6hZGzttJtrea7vJGjRriQrGmELZOASeFPArOtdN1yOdbq8sdPvbwdJZb98J/uL5WF/DmtHWP8AkPaB/wBfMv8A6IkrZoAx/tPiH/oGaZ/4Hv8A/GqY154kEqKNI04qQcuNQbC/+Qs1p2SXMcG28mSWXcx3Im0bc8DHsKsUAY/2nxD/ANAzTP8AwPf/AONUfafEP/QM0z/wPf8A+NVqTrK1vIsDqkpUhGYZAPYkd6IFkWCNZ3V5QoDsowCcckDtQByUt94m1fVLmwjtLK1htQnn7L1g8hYZAD+WcDHsD71o2cWsafB5Npo2lRJnOFvn5PqT5WSfc1LpX/I0a99YP/Rdad4lzJb7bOZIpdync6bhjPIx9M0AZ/2nxD/0DNM/8D3/APjVMjvPEj79+kacmGwM6g3zD14irbooAx/tPiH/AKBmmf8Age//AMapDdeIgCRpemk+n29+f/IVaNwly09uYJkSJWJmVkyXXHAB7c1YoA5zTI7rxRpltfao/kWtxGJFsoHOCDyN79W+gwPrW/DDHbwrFDGscaDCqowAPpWX4R/5FDSf+vWP/wBBFaDJcm/R1mQWojIaMp8xbPB3emM8UAVfEZZfDOqGNQzC0lwCcZ+Q1NpP/IHsv+veP/0EVHr/APyLup/9ekv/AKAal0n/AJA9l/1wT/0EUAW6gupLiNY/s0CzFpFVwX27V7t749KSFLlbm4aaZHhYjyUVMFBjnJ781YoAKKKr2aXMcJF5Mksm9iGRNoC54GPYUAKZbgXyxiAG2MZYzb+Q2eF2/TvU9FRXCyvbSLbuscxUhHZdwVuxI70AS1lwSXD+I7lZoFjiSBRE4fJkGTkkdsGtGESLCgmYNIFAdgMAnucVVH/IbP8A17j/ANCNTLoXDr6F2iiiqIMvXrY3drBAs8sBknUCWE4deDyDWlGnlxqhZm2gDc3U+5rO1y7gsbe3ubqVYoIp1Z3Y8KMGtFHWSNXQhlYAgjuKlbsuXwoXIJIyMjtUF5am7jRBPNDtkV90TYJwc4Pse9LHZwRXc10kYE8wVZH7sB0/nRd3kFjD511KsUe4LuY8ZJwB+dUQT0gIOcEHHWlqC3s4LRpmgjCGeQyyY/iY9T+lAGVrSbvEHh5tzDFzLwDwf3D9a3KwdfuYbXWvD73EqRIbqRQztgZMMmBWr/aNn/z92/8A38X/ABoAsAhhkEEe1QNalr6O58+YBEKeUG+RskckeoxVezk0uwg8m1nto49xbaJR1Jye/qac+t6ZHcx2739qJpQSiGVcsB1/nQBdJAGTwKAcjI6VTnutPuYJIZrm3eORSrKZRyD1HWlhvNPt4UhiubdY41CqolHAHAHWgDO0lMeLNfbcxybfgngfu63CQoySAPeuc0vUrIeK9dU3duGIt2AMg5GwjP5itS7l0u/g8m6ntpI9wbaZR1ByD19RQBoVXtLU2qSKZ5pt8jPmVslcn7o9h2pP7Rs/+fu3/wC/i/41FBremXPmeRf2r+U5jfEq/Kw6igC6SAQCQCelI6742XcV3AjK9R9KozyaXczwTTT2zSW7FomMo+UkYPf0qf8AtGyH/L3b/wDf1f8AGgDP8Hrt8HaQMk4tI+T/ALorSury3sYWlupkijXqznFcz4Y1S4uPC2l2+k23nOttGr3EuVhQ7R36sfYfmK1rXw9At8moX7G91BRhZpBxGPRF6L/P3oAq6gt/4m064s7QPp9ncRtGbmVf3rAjHyJ2Hu35d62NPtBYafb2okeQQxqm9zktgYyakuLiK0t5J7iRY4Y1LO7dFA70+ORZY1kjYMjAMpHcGgBQQSQCMjrUFzam5aAieaLypBJiNsb8fwt6ilhs4LeeeeGMLLcMGlYfxEDA/SlubyCzEZuJVjEjiNNx+8x6CgCakBDDIII9qWoLSygsITFaxiOMszlR6k5J/OgBHtS99Fc+fMojRl8oN8jZxyR6jFTkgDJOAKiN3ALxbQyqLhkMgjzyVBxn86W4t4ru3kgnQPFKpR1PcHqKAJOtZlvbGDxBcuZpZPOiD7XbIj5xhfQVoxRpDEkUa7URQqj0A6Vnw3cFx4iuIYZVeSCBVlUHlCSSM/hUy6Fw6+hp0UUVRBR1NVf7IrKGU3C5BGQeDV0DAwOAKzNekuIrWB7OFZ7hZ1McbPsDHB4J7VpRlmjUyKFcgblBzg/WpW7Ll8KIo7rzLyW38mZfLVW8xlwjZ7A9yMc1Kyq4wyhh6EU6q95JcxxobSFJXMihg77QFzyfqB2qiCxUFtdfaGmXyZo/KkKZkXAf3X1HPWp6KAKt7ptnqQjF9aw3CxNuRZUDAHBGcH2Jqv8A8I5ov/QI0/8A8Bk/wq1PJcrcW6wQo8TMfOdnwUGOCB35qxQBjWejaNdweZ/YVrD8xXbNZorcHGcY6HtU/wDwjmjf9AjT/wDwGT/CtKq7SXIvo0WFDalCXlL/ADBsjA29x15oApT6DosEEkv9i2T7FLbEtULNjsBjrRBoOizQRy/2LZJvUNse1QMuexGOtatFAGWPDOiB2caRYbmxkm3Tt07VFeaNotpB5v8AYVrN8wXZDZozcnGcY6CtGKS5a7nSWFFt12+VIHyX45yO2KsUAZv/AAjmi/8AQI0//wABk/wo/wCEc0b/AKBGn/8AgMn+FaVV7SS5kSQ3cKRMJGCBH3ZTPB9ifSgDOn0bRYJ4I/7CtZPOYrujs0KpxnLHHAqceHdGByNI08Ef9Oyf4VpU1ywjYoAzgHAJxk0AJHGkMaxxIqIowqqMAD2FRtdbb5LbyZjuQv5oX5Bg4wT6+1LaPPJaRNdRLFOVBdFbcFPoD3qagBGUMpVgCD1BoAwMDgCobx7iO0leziSWcD5EdtoY+57VKpJQFhhscgdjQBFDdedcTxeTMnkkDe64V8jPynvUzKrY3KDg5GR3par3MlyjQfZoUkDSASln27E7kep6cUAWKgtLr7XCZPJmhw7LtmXaTg4zj0Pap6KAG7V37to3YxnHOKbcTfZ7eSXy5JNiltkYyzY7AdzUbyXIvokSFDbFGLyF8MrcYAHfPNWKAGRSebCkm1k3qG2uMEZ7EetVFUDXGIABNuMkDr8xq9WXbvcP4guRcRJGixAQsr5LrnqR257VMuhcOvoalFFFUQUtR+9Z/wDXwv8AI1drL162+22sFv50sPmTqPMhba68HkHtWlGnlxqm5m2gDLHJP1qVuy5fCiGNLkXszyTI1uwXyowmGU98nvnirFNDKWKhhuHUZ5FQ3tp9sg8ozTQ/Mrbom2twc4z6GqILFV7ZLlGn+0zJIGkJiCpt2J2B9T15qxTVZWztYHBwcHoaAHUVXuLX7RLA/nTR+S+/bG2A/GMN6jmrFAFeyS5jt9t5Mk0u4ncibRjPAx7CrFNVlcZVgw9QahktfMvYbjzpl8pWXy1bCNnuR3xjigCS4WV7eRbd1SUqQjsuQp7EjvRCsiwRrM4eUKA7AYBOOSB2p5IUEkgAdSaAQwBBBB6EUALVe8S5kg22cyQy7lO503DGeRj3FEdr5d7Lc+dM3mKq+WzZRcdwOxOeamZlQZZgo9SaAHUUVXtbX7L5376aXzZDJ+8bO3PYeg9qACdLlri3aCZEiViZlZMlxjgA9uasU0sqkAsAW6AnrSkZBGSM9xQAtV2S5N+rrMgtRGQ0Wz5i+eDu9MdqWztvsdpHB5ss2wY3ytuZvqal3LuC7huIzjPNADqKhuoPtVrLB5kkXmKV3xthlz3B7Gnxp5cSJuZtoA3Mck/WgCKBLlbi4aeZHhZh5KKmCgxyCe/NWKaGUkgMCV6gHpUN3a/aliHnTReXIsmYm27sdj6g9xQBYqvZx3McBF5Mk0m9iGRNo254GPYVYpqurjKsGHTINADqiuVme2lW2kWOYqQjsu4K3Ykd6YbXN+t150w2xmPyg3yHnOSPX3qckKCWIAHUmgBsQdYUErBpAoDMBgE9ziqo/wCQ2f8Ar3H/AKEauAggEHIPcVmQWog8R3MvnTP50CnY7ZVMEj5R2qZdC4dfQ1KKKKogzNcu4LC3t7q6kWKCKdWd26KMGtGN1ljV0O5WAII7iqepAMbMEAg3C8H6GrvSpW7Ll8KIUs4I7uW6SJVnlUK8gHLAdAfpmi7vbexjR7mURq7rGpPdicAUkd15l5Nb+TMvlBT5jLhHz2U98d6nIB6gGqIFqG3tILVpmgiWMzOZJCo+8x7n8qmqC2uvtLTDyZovKkMeZFxvx/EvqPegAmvILeeCGaQLLcErEp/iIGT+lT0mASDjkdKWgCC1s4LGHyrWJYo9xbao4yTkn86GvIEvUtGlAuJEMip3Kjgn9aSzuvtlv5vkzQ/MV2TLtbg4zj0NT4Gc459aAGzQx3ELwzIHjkUqynoQeoohhjt4UhhUJHGoVVHQAcAUlxL5FvJLseTYpbYgyzY7AetEMnnQRybHTeoba4wy5HQj1oAZFeQTXU1tHKGmg2+Yg6rkZFLdWcF9D5N1Esse4NtYcZByD+YqXABJxyagvLr7HB5vkzTfMq7Yl3NycZx6DvQBYqC1vIL1Ha2kEixyNGxHZhwRU9IAB0GKAIZrOC4mglmiV5IGLRMRyhIxkfhUrusaM7nCqCSfQVDPdeRPbxeTNJ5zFd6LlUwM5Y9hVigCK1uYb22juLdxJDKoZHHQimtZwNeJdtEpuEQxrJjkKTkj9KmAAGAMCoDdYv1tfJmO6Mv5oX5Bg4wT60AOu7uGxtZLm6kEcMY3O56AVKrB1DKcgjINBAIwRkUtAEMVpBBPPPFEqSzkGVgOXIGBn8KS4vILRoVnkCGaQRRg/wATHoP0pILrz7i4i8mZPJYLvdcK+RnKnvU5AOMjOKAFqC1s4LGIx2sSxIWLlVHG4nJP4mp6r2d19shMnkzQ4dl2yrtbg4zj0PagBXvII72O0aQC4kUuidyB1P6inzwR3MEkE6B4pFKup6EHqKfgZzjn1qO5m+zW0s3lySeWpbZGMs2OwHrQA6KJIYkijUKiKFVR0AHQVn293Bc+ILiOGQO8EISUD+Fs5x+RrQik82FJNrJvUNtYYIz2PvVUADXGwOtuP/QjUy6Fw6+hdoooqiDL157iO1gayiSa4E6+XHI+1WOD1PatKMuY1MihXIG4A5APeqmo/es/+vhf5GrtSt2XL4UFV717mO3zZxRyy7lG132jGeTn6URxXC3s0jzhrdlURxbMFCM5Oe+eKsVRAUUVXtoriN5zcTiVXkLRgJt2L/d9+/NABcvcrLbi3ijdGfExZ8FFx1Hqc44qxRRQAVXke5F7CkcUbWzK3myF8Mp/hwO+eaLKK4hgK3c4nk3Md4TbxngY9hxVigAoqOdZHt5FhkEcrKQjlc7T2OO9ECyJbxrNIJJVUB3AxuOOTjtQBHG90b6ZJIoxbBVMcgfLMe4I7Y4qxRVe8iuJrfbaTiCXcp3lN/GeRj3HFAFiq9q9y/nfaoo48SER7H3bk7E+h9qsUUAFIc4OBk9qguIrh57doLgRxoxMqFN3mDHAz255qxQBBZvcSWkbXkSRXBHzojblB9j3qeiq7RXBv0kWcC2EZVodnJbPDbvp2oAddNOlrK1rGkk4UmNHbaGPYE9qfEXMSGRQrlRuAOQD3p9FABVe7e5RYvskUchMihw77dqdyPU+1EMVwlzcPNOJInIMSBMeWMcjPfJ5qxQAUUVXs4riKErdzieQuxDBNuFJ4GPYd6AAvc/b1QRIbUxktJv+YPngY9Md6sUVFcJLJbSJBIIpWUhHK7tp7HHegCWsuB7lvEdys8UaRLAvksr5LjPOR25rRhV0hRZXDyBQGYDG49zjtVUf8hs/9e4/9CNTLoXDr6F2iiiqIMzXbYXttBbtLNEJJ1HmQvtdeD0PatGNPLjVMs20AZY5J+tZ+t3UFlBb3N1KsUEU6s7ucBRg9a0EdZEV0IZWAII7ipW7Ll8KAOpYqGBYdRnkVDd2gvI0RpZo9rq+Yn2k4OcH29RTktIIrqW5SJVnmCrI4HLAdM/TNF1eQWMPm3UqxR7gu5jgZJwB+dUQTU1XVs7WBwcHB6GnVDb2kFq0pgiWMzOZJCo+8x6k+/FACT2gnuLeYyzIYGLBUfCtkY+Yd6nqGe7gtpIUmlVHnfZGGP32xnA/AVNQA1XVxlGDD1BzULWga+juvNmDIhTyw/yHPcr3PHWnWtnBYw+TaxLFHuLbVGBknJP50PdwR3UVs8qrPKC0aE8sB1x9M0ASkhQSxAA6k0AhgCCCD0Ipk0MdxA8MyB45FKsp6EHqKWKJIIUiiUJGihVUdAB0FAEUVosV3PcCWZjNtyjPlVwMfKO3vUzOqDLMFHqTio0vIJLuS1SVTPEoZ4weVB6E/XFF1aQXsPlXUSyx7g21hkZByD+YoAmqC0tBaJIqyzSb5GkzK+4jPYeg9BU9Q293Bd+b9nlWTynMb7T91h1B96AJC6qVDMAW6AnrQ6eZGyZI3AjKnBH0qOazguJoJpoleSBi0TEcoSMEj8KlJABJ4AoAitbcWlrFAskkgjUKHkbcx+p7mpN679m4biM4zzio7W6hvbZLi1lWWGQZV1OQRQbSBrxbsxKbhUMYkxyFJyR+dACXlsLy0kt2kljEgwXibaw+h7VMq7VC5JwMZPWo7i4itLeSe4kWOKNSzux4UDvT43WWNXRgyMAykdwaAAOrEgMCV6gHpUVzai5aEtLMnkyCQCN9u7HZvUc9KWG0gt55poolSWchpWA5cgYGfwoubuC0EZuJVjEjiNNxxuY9B9aAJqQEMMggj1FBGRiobSzgsLZbe1jEUKZ2qOgyc0AI9or30Vz5swaNGQIHwhzjkjueKnJAGScAd6iN3ALxbQyoLhkMgjzyVBxn6Zpbm2hvLaS3uEEkMqlXQ9CD2oAlrMt7UW/iC5cSSuZog5DvkLzjCjsPatFEWNFRBhVAAHoKzobuCfxFcQxSo8kECrKoPKEkkZ/Cpl0Lh19DToooqiCjqaK/2RXUMpuFyCMg8GroAAAAwBWbrslxFbQPaQLPcLOpSJn2Bjg8Z7VoxlmjUyLtcgblBzg+malbsuXwohjuxJezW3kzKYlVvMZMI2c8A9yMc1MyK4w6hh1wRmnVXvJLmONDaQLM5kUMrPtwueT+A7VRBYqvbXQuXnURTR+TIY8yLgN7r6jnrViigBrIrEFlBKnIJHQ06q88lwlxbrDAskTsRK5fBQY4IHfmrFAFeyuxewGUQzRfMy7ZU2twcZx6HtUxRSwYqCw6HHIp1V2kuRfRxrAptihLy7+VbsNvfvzQBJPL5FvJKUdwiltqDLHHYD1ogl8+3jlCOgdQ21xhhkdCPWpKKAGhFDlgoDHgnHJqG8uxZW/mmKaUblXbEm5uTjOPTmiKS5a7nSWBUgXb5UgfJfjnI7YqxQAU1UVM7VAycnA6mnVXtJLiRJDdQLCwkYIFfduXPB9s+lABcXYt57eIwzP57FQyJlU4zlj2FWKKa5YRsUUMwBwCcZNAAqqihUUKo6ADAFQtdhb9LXyZiXjL+YE+QYOME+vPSnWjzyWsT3USwzsoLxq24KfTPepqAEZQ6lWAKnggjg0AAAADAHaobx54rSR7SFZpwPkjZ9oY+me1SqSVBYYbHI9KAIYLsT3NxCIpkMBALumFfIz8p71MyK+NyhsHIyOhp1V7mS4jaAW8CyhpAspZ9uxO7D1+lAFiq9ndi8hMghmiw7JtlTaeDjOPQ9qsUUAN2Lv37RuAxuxzimXM32a2lmKPII1LbIxlmx2A7mmGS4F+sYgU2xjLGbfyGzwu36d6sUAMhk86FJNrLvUNtYYIz2I9aqKqrrrkKAWtxkgdfmNXqzLeS4fxBcieFY0WICJg+7euepHbntUy6Fw6+hp0UUVRBS1H71n/ANfC/wAjV2szXbc3dtBAs8tuZJ1AlhOHXg8g1oxp5caoWZioA3N1PualbsuXwohjS5F5M0ksbWxC+UgTDKf4snvnirFJkEkZGR2qC8tjdweWs80B3K2+JsNwc4+h6VRBYqvbJco0/wBpljkDSExBF27U7A+p681YpAQc4IOOtAC0VBcWxnlgcTzRCF95WNsCTjGG9RzU9AFeyS6jt8Xsscsu5vmjTaMZ4GPpVikBDDIII9qhktjJeQz+fMojVgYlb5Hz3I9u1AD7hZWt5Ft3VJipCMwyAexI70QiRYIxMytKFAdlGATjkgU8nAyeBQDkZHINAC1XvEuXgxZyxxS7lO6RNw255GPpmhLYpey3HnzMJFVREzfImO4Hqe9TkhRkkAe9AC0UVBa2xtvOzPNN5khceYc7M/wj2oASdLpri3MEsaRKxMysmS4xwAe3NWKQkAgEgE9KCMgjJGe4oAWq7Jc/b1dZYxaiMho9nzF88HOemO1LZ25tLSOFppZygx5kpyzfU1NkZxkZ9KAFoqK6gNzaywiWSEupUSRnDL7g+tOjTy4kQszlQBubqfc0ARQJcrcXDTyxvCzDyVVMFBjnJ781YpAQSQCMjrUN1bG5WMLPNDskV8xHG7H8J9jQBPVezS6SAi8ljll3sQ0abRtzwMeuKsUgIbkEEe1AC1FcrM9tKts6xzFSEZ1yFbsSO9NNsxv1ufPmCrGU8kH5Dzndj1qYkAZJwBQA2IOIUErBpAo3MowCe+BVUf8AIbP/AF7j/wBCNXAcjI6VmQWxh8R3MpnmkE0CkI7ZWPBIwvpmpl0Lh19DUoooqiDN1u6gsYLe5upViginVnkc4CjB61oI6yIroQysAQR3FU9TVX+yK6hlNwuQRkHg1dAAAAGAKlbsuXwohjs4IryW6SICeZVV37sB0/nRdXkFlGr3MqxK7iNSx6sTgD8aSO7El7NbCKZTEFJdkwjZ9D3xjmpmRXADKGAOeRVEDqgt7OC0aZoIwhnkMkhH8THv+lT1XtrsXTTgRSx+TIYyZE27sd19Rz1oAdNeQW88EM0qpJOSsSk8uQMnH4VNTSisQSoJXoSOlOoAgtLK3sIfJtYhHHuL7R6k5J/OhryBLxLRpVFxIhdY88lR1P60lldi9t/NWKaIbmXbKm1uDjOPSptilg20bgMA45oAbPDHcQSQzKGjkUqynuD1FEMMdvBHDCoWONQqqOwHAFFxMLe3kmKO4jUttRcscdgO5ohlE8EcoVlDqG2uMMMjoR2NADI7yCa5mt45VaaDHmIDyueRn60XdnBfweTdRiSPcG2n1ByP1FShFDFgoDHqccmoby7FlB5rRTSjcq7Yk3NycZx6c0AWKhtryC8V2tpVkVHMbFT0YdR+FTU1UVM7VAycnA70ART2VvczQTTRB5Ldi8TH+EkYz+VSu6xozuQFUZJPYVDPdi3uLeIxTOZ2KhkTKpgZyx7CpyMjB6UAR21zDeW0dxbyLJDIoZHXow9aa1nA16l40YNwiGNX7hSckfpUyqEUKoAA6ACoGuwt+tr5UxZozJ5gT5Bg4wW9fagB11dQ2VtJcXUixQxjc7t0UVKrB1DKcgjINDKrqVYBlPUEcUdKAIYbOC3uJ54owstwQZWH8RAwP0pbi7gtWhE8qxmZxHGGP3mPQD8qbBdie4uIRFMhgYKWdMK+Rn5T3qZlVsblBwcjI6GgB1QWllb2MRitYhGhdnIH94nJP51PVezuxewGVYpogHZdsqbTwcZx6elACveQJeR2rSqLiRS6Rk8sB1P6in3EEd1byQToHikUq6nuD1FOKqWDFRuHAOOaZczi2tpZijuI1LbY13M2OwHc0AOiiSCFIolCxooVVHYDgVQgu4LnX7hIZVd4IQkoB+42c4P4Gr8UnmwpIFZQ6htrDBGfUetVFVV1xyqgE24JwOvzVMuhcOvoXqKKKogzNdknitoHtIFnnWdSkTPsDHB4z2rRjLNGpkXa5A3KDnB9M1U1H71n/wBfC/yNXalbsuXwoKr3klzFButIFnl3KNjPsGM8nPsKI47kXszyTI1syqI4wmCp7knvnirFUQFFFV7aO5R5zczJIrSExBU27E7A+p680AFxJcJLALeBZEZ8SsX27Fx1A7844qxRRQAVBJJcLeQpHArW7KxklL4KHsAO+eaSzjuY4Nt5Mk0u5juRNoxngY9hVigAoqOdZGt5FgcJKVIRmGQp7HHeiBZFgjWdw8oUB2UYDHHJx2oAjjkuTeyxvAq26qpjlD5LHuNvbHFWKKr3kdzJb7bOZIZdyne6bhjPIx7jNAFioLWS4k877TAsW2QrHtfdvTsx9PpU9FABSHIBwMnsKguI7l57doJkjiViZlZMl1xwAe3NWKAILOSeW0je7hWCcj541fcFP171PRVdo7k36OsyC1EZDRbPmLZ4O70x2oAfdPNHayvbRCWZVJSNm2hj2Ge1OjLtEhkUK5ALKDnB7jNPooAKgupLiNY/ssCzFpFVwz7dqd298elJDHcrc3DTTI8LEeSgTBQY5ye/NWKACiiq9nHcxwkXkyTSb2IZE2gLngY9hQAGS4F+sYgU2xjLGbfyGzwu36d6sUVFcLK9tItvIscxUhHZdwU9iR3oAlrLgkuH8R3KzQLHEkCiJw+TIMnJI7YNaMIkWFBMweQKAzAYBPc4qqP+Q2f+vcf+hGpl0Lh19C7RRRVEGXr1sby1gtxNLAZJ1HmwttdeDyDWlGnlxqm5m2gDcx5Puaztcu4LG3t7m6lWKCKdWd26KMGtFHWWNXQhlYAgjuKlbsuXwoXcCSMjI6ioLy1+1xonnTQ7ZFfMTbScHOD7HvSx2cEV3NdJEFnmCrI/dgOn86Lu8t7GHzrqVYo9wXc3TJOAPzqiCekDA5wQccHFLUFvZwWjTNBGEM0hlkI/iY9T+lACT2vn3FvL50yeSxbYjYV8jGGHerFQT3kFrJDHPKqPO/lxg/xNjOB+AqegBAwYZUgj2qBrXdfR3PnTDYhTyg3yNnHJHrxS2lnb2EHk2sSxR7i20epOSfzNEl5BFdxWryqs8wZo0PVgOv5ZoAmJAGScAUAgjI5Bpk8EdzBJDMoeKRSrKe4PUUsMSQQpFEoWONQqqOwHAFAEUVr5V3PP50z+dt/ds2UTA/hHbPepywUZYgD3qFLy3kvJbVJVM8ShnjHVQeh/Si7s4L6HybqISR7g20+oOQfzFAE9V7S1+yJIvnTS75GkzK24rk9B7DsKsVBbXkF35v2eVZPJkMb4/hYdRQBMWAIBIBPT3pHXfGy7iu4EZU4I+lRT2dvczwTTRK8luxaJj/CSMEj8KmJCgk8AdaAIrS3+y2sUHmyS+WoXzJW3M3uT3NS7hu25GeuKitLuC+to7i1kWWGQZV16EUhs4GvVvDEDcKhjEncKTkj86AC8tvtdpJB5ssPmDHmRNtdfcGpVXaoXJOBjJ6mmXNzFaW0lxcOI4Y1LO56ADvT45FljWSMhkcBlI7g0AKGBJAIJHX2qC5tftLQHzpovKkEmI2xvx/C3qPalhs4LeeeaGILLcENKw/iIGB+lFzeQWYjNxKsYkkEabu7HoKAJ6QMGGVII9qWoLSzt7GExWsSxxli5UepOSfzoAR7XffRXPnTDy0ZfKDfI2cckeoxU7MFBLEADqTUMl5BFdQ20kqrPMGMaHqwHXH0zTri3iu7eSC4jWSKRSro3RgeooAkByMjkGs23tvI8QXL+dLJ50Qfa7ZCc4wvoK0Y0WKNY41CooCqB2ArOhu4LjxFcQxSq8kECrKo6oSSRn8KmXQuHX0NOiiiqIKOpqGNorAEG4XII46GroGBgdKzNee4jtYHs4UmuFnXy43faGOD1PatKMsY1MihXIG4A5walbsuXwoijuS95Lb+RMojVW81lwj57A9yO9TMoYYYAj0Ipar3j3McaGzhjlcyKGDvtAXPJ+oHaqILFQW1ybhpl8iaLypCmZFwH/wBpfUe9T0UAIVDEEgEjkZHSlqvO9ytxbrBEjwsx85mfBQY4IHfmrFAEFndG7gMhgmg+Zl2TLtbg4zj0PapioLBiBkdDjpS1XZ7kX0aLChtShLyF/mDcYAHcdeaAJJ5fJgkl2PJsUtsQZZsdgPWiCXzoI5Njx71DbHGGXPYj1qSigBNoDFsDcepxUN5cm0g80QTTfMF2Qrubk4zj0FJE9y13OssKLbrt8pw+WfjnI7YNWKACkChc7QBk5OBS1XtHuXSQ3cSRMJGCBH3ZTPBPoT6UALPdGCeCPyJpPOYrvRcrHxnLHsKnoprlhGxQAuAdoJwCaAFVQoAUAAdAKha5K3yW3kTEMhfzQvyDBxgn1pbRp3tImu40inKgyIjbgp7gHvU1ACEBgQwBB6g0AYGB0qG8e4jtJWs4kluAPkR22qx9z2qVSxQFgA2OQPWgCKG5M1xPF5EyeSQN7rhXyM/Ke+KmKhsbgDg5GRS1XuXuUaD7NEkgaQCUs+3ancj1PTigCxUFndG7hMhgmhw7LtmXaTg4z9D2qeigBCoLAkDI6HHSmXE32e3kl8uSTYpbZGMs2OwHrUZkuft6oIUNqYyTLv8AmD54G30x3qxQAyKTzYUk2Mm9Q21xgrnsR61UVQNcYgAE24ycdfmNXqy7d7hvEFyLiJERYgISr5LrnqR2OamXQuHX0NSiiiqIKWo/es/+vhf5GrtZevWovbWC3MssIknUeZC2114PQ9q0o08uNU3M20AZY5J+tSt2XL4UQxx3IvJnkmRrdgvlxhMFD3JPfPFWKaHUsVDAsOozyKhvLQXsHlGWaIblbdE+1uDnGfSqILFV7aO5Rp/tMyShpCYgqbdidgfU9easU1XVs7WB2nBwehoAdRVe4tBcywOZZo/JfeBG+A/GMN6jmrFAFeyjuYrfbeTJNLuY70TaMZ4GPYVYpqurjKMGHTIOahktRJew3PmzKYlZfLV8I2fUd8Y4oAkuFle3kWBxHKVIR2XIU9jjvRCsiwRrM4eUKA7AYDHHJx2p5IUEsQAOpNAIYAqQQeQRQAtV7yO5kg22cyQy7lO503DGeRj3FEdoI72W582ZjKqr5bPlFx3A7E55qZnVBl2Cj1JxQA6iiq9rai187Es0nmyGT94+7bnsPQe1ABPHcvcW7QTJHErEzIyZLjHAB7c1YppdVKhmALcAE9aUjIIyRn0oAWq7R3Jv1kWZBaiMhotnzFs8Hd6Y7UtnbCztI4BLLKEGN8rbmP1Pepd67wm4biM4zzigB1FQ3UAurWWAySRiRSu+NtrLnuD2NPjTy4kTczbQBljkn60ARQR3K3Fw00yPEzAwoEwUGOQT35qxTQ6szKGBK9QD0qG7tRdrEDLNH5ciyZifbux2PqPUUAWKr2cdzHAVvJkmk3sQyJtG3PAx7CrFNV1cZRgwzjIOaAHVFcrM9tKtvIscxUhHZdwU9iR3phtQb9brzpgVjMflhvkOTnJHr71OzBVLMQAOST2oAbEHWFBKweQKAzAYBPc4qqP+Q2f+vcf+hGrgIYAggg9CKzILUQeI7mUSzOZ4FYq7ZVMEj5R2qZdC4dfQ1KKKKogzNdu4LC2t7q6kEUEU6s7noBg1oxussauhyrAMD6g1U1IAmzBGQbheD9DV2pW7Ll8KIUtII7qW5SJFnlAV5AOWA6A/TNJd3sFjGj3MgjV3WNSQeWJwBSR3RkvJrfyJlEQU+Yy/I+eynvjvU5APWqIFqGC0gtWmaCJYzM5kkKj7zHuffipqgtro3LTjyJovKkMeZFxvx/EvqKACa8gt54IZpAslwxWJSPvEDJ/Sp6TH6UtAENraQWUPlWsSRR7i21RgZJyT+dI17Al6lo0gFxIhkVMHJUcE/rSWV0by380wTQfMV2TLhuDjOPQ1PjnPegBs0MdxC8MyB45FKsp6EHqKIYkt4UiiQJHGoVVHQAdBSXEvkW8kvlvJsUtsQZZsdgPWiGTzoI5NjpvUNtcYZcjofegBkV7BNdTW0cgaaDb5iY+7kZFLdWkF7D5N1Esse4NtYZGQcg/mKlwM5xzUF5dG0g80QTTfMq7Ily3Jxn6DvQBYqC1vIL1Ha2kEixyNGxAPDDgip6QADoKAIprSC4mhlmiR5IGLRMRyhIxkfhUjusaM7nCqCSfQVDPdGC4t4vImk85iu9FyseBnLHsKsUARWt1De2sdxbuJIZVDIw7ika0ga8W7aJTcIhjWTHIUnJH6VKBjgVAboi/W28iYhoy/mhfkGDjBPrQA67u4bG1kubmQRwxjc7nsKlVg6hlOQRkGgjPB6UtAEMVpBBPNNFEqSzkGVgOXIGBn8KS5vILRoVnkCGeQRR5H3mPQfpSQXRmuLiLyJo/JYLvdcLJkZyp71PgGgBahtbOCyiMdrEkSFi5VRgbick/iamqvZ3Ru4TIYJocOy7ZVw3Bxn6HtQAr3sEd7HaNIBcSqXRMHJA6n9RT54I7mCSGdA8UilXVujA9RT8c571HczfZ7aWby5JfLUtsjGWbHYD1oAdFGkMSRRqFRFCqo6ADoKz7e7gudfuI4ZA728QjlAH3WznH5VoRSebCkm1k3KG2sMEZ7H3rjfE1xND8SPCccU0kccxnEqKxAcBCRuHfn1qZdC4dfQ7WiiiqIMzXjeJYpLp1sLq5ilV1iLbQ3Ucn8alj1CUxqZLC6D4G4AKQD371eoqeV3umWpq1min/aD/8APjd/98r/APFVBealeJBmz0yeSXcvyyFVGM8nOfTNadFFn3Dmj/KU/wC0H/58bv8A75X/AOKo/tB/+fG7/wC+V/8AiquUUWfcOaP8pmXGpXiyQC302d0L4mLlQVXHUc8nOOKn/tB/+fG7/wC+V/8AiquUUWfcOaP8pT/tB/8Anxu/++V/+KqCTUrwXkKx6bObYhvNclQyn+HAzz3rToos+4c0f5Sn/aD/APPjd/8AfK//ABVH9oP/AM+N3/3yv/xVXKKLPuHNH+UzE1K8N5Ksmmzi2Cr5bgqWY9wRnjtU/wDaD/8APjd/98r/APFVcoos+4c0f5Sn/aD/APPjd/8AfK//ABVQW2pXjeb9q02dMSER7Crbk7E88HrxWnRRZ9w5o/ylP+0H/wCfG7/75X/4qkOoSYOLG7z2+Vf/AIqrtFFn3Dmj/KZlpqV29rG15ps8dwR86R7WUH2Oean/ALQf/nxu/wDvlf8A4qrlFFn3Dmj/ACmdc6jcrbSG1064ecKfLV9qqT2BOeKfHqExjUyWF0HwNwAUgHv3q9RRZ9w5o/ylP+0H/wCfG7/75X/4qoLrUrxRH9l02eQmRRJvKrhO5HPJ9q06KLPuHNH+Up/2g/8Az43f/fK//FUf2g//AD43f/fK/wDxVXKKLPuHNH+UzJNSvBdwrFps7W5Dea5KhlP8OBnnPNT/ANoP/wA+N3/3yv8A8VVyiiz7hzR/lKf9oP8A8+N3/wB8r/8AFVy99pOr6x460bU2tkhstOkkOWbDMrJgcc85/Su0oo5X1Y+dWdkFFFFUZn//2Q==)
(iii)![](data:image/jpeg;base64,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)
(iv)![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAoHBwkHBgoJCAkLCwoMDxkQDw4ODx4WFxIZJCAmJSMgIyIoLTkwKCo2KyIjMkQyNjs9QEBAJjBGS0U+Sjk/QD3/2wBDAQsLCw8NDx0QEB09KSMpPT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT3/wAARCAD3AMEDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD164uJIpo4ooRIzhjy+3AGP8aguLy8ggaQaeZSv8EcoLH6ZFJexzvqlj5E4iC72kBTdvX5cr7dufar7MEUsxAA6kmp1beppdJLT8yt595/z6J/3+/+tR515/z6J/3+/wDrVYcMyMEbaxHDYzg02FZEgjWaQSSBQGcLt3HucdqLPuLmXZfj/mVLe8vZ4t508xHJG2SUA8HGeB361L595/z6J/3+/wDrVZVlcZUgjpkGo4klSSUyyh1ZsxqExsGBxnvzk596LPuHMuy/H/Mqi8vTctD/AGeQAgbzPNG089OnXipfPvP+fRP+/wB/9arO5d23I3YzjPOKjdJWuInSULEoO9Nud/pz2xRZ9w5l2X4/5lWW8vYmiA08v5j7SUlGE4JyeOnH61L595/z6J/3+/8ArVZLKuNxAycDJ6mo7hJZISsEoikJGHK7sc88fTiiz7hzLsvx/wAytNd3kMLyCw8wopbYkoLN7DjrTluLxkVvsSrkZwZuR+lWyQoJYgAckmgEEZByD3os+4cy7L8f8yt515/z6J/3+/8ArVFBeXsysTp5j2uVw8oGcHqOOh7Vatkljt0W4lE0oHzOF27vw7VIrK2dpBwcHB70WfcOZdl+P+ZW8+8/59E/7/f/AFqi+2Xn2nyf7PONm7zPNG3rjGcdatRpKs8rPKHjYjy0242cc898mpNy7tuRuxnGecUWfcOZdl+P+ZW8+8/59E/7/f8A1qimvL2IxgaeZN77SUlB2+546cVakSVp4mSULGufMTbnfxxz2wakLKuNxAycDJ6miz7hzLsvx/zK3n3n/Pon/f7/AOtTJbq8iheQWO8qpbYko3N7DjrVi5SWSBlt5RDIcYcruxzzx9KkJCgkkADqTRZ9w5l2X4/5lRLm8dFb7EFyAdrTDI9jxTvOvP8An0T/AL/f/WqzncuVPUcEc0y3SSO3jSaXzZFUBpNu3cfXHaiz7hzLsvx/zKkF5ezKxOnmPa5XDygE4OMjjoe1T29xJLNJFLCI2QK3D7sg5/wqdWVs7SDg4OD3qlapKuq3pllEissZjUJjYPm4z35yc+9Gqa1HdNPT8y9RRRVGZn3s7QapYhYJZfM3oTGB8g+X5myenH61cngiuYWhnjWSNxhkYZB/Cq9xIkepWu91Xcrqu44yfl4HvU9ykstu6QTeTIR8sm0Nt/A9albsuWy/rqx0jGOJ2VGcqpIVep9hRE5kiRyjIWUEq3VfY04kKpLEAAZJNCsHUMpBUjII6GqIGQwRWyFII1jQsWwowMk5J/E0kMzSmUNDJHscqC+PnHqPai3jlji2zzea+4ndtC8Z4GPYcU9XVywVgSpwcHoaAG+RF9oM/lr5xXZvx823OcZ9M0jTMtzHEIZGV1JMgxtXGOD35z+lAjl+1GTzv3JQARbRw2fvZ+nanl1DhCwDNyFzyaAGywRTmMyxq5jbem4Z2t6j35NJcTNBEHWGSU7gNqYzycZ57DrRNHK7RGKbywr5cbQd64PHt259qe7rGu52CjpknFACSxpNE8cqK8bgqysMgg9QaVVWKMKigKowFHYDtSTK7wusUnlyMpCvtztPY470qBljUO25gOWxjJ9aAGW8rT28cjRPEzDJjfG5fY4pYoIoA4hjVN7F22jGWPUn3pyOsiBkYMp6EHINMgjljD+dN5pLllO0LtXsvvj1oAIpmkllQwyII2ADNjD8ZyP5UvkRfaPP8tfO27N+Pm25zjPpmnK6szKrAsvDAHkfWmeXL9q8zzv3Ozb5W0fez97P04xQAPMyXEUYhkZXDZkGNqY9frSywRT7PNjV/LYOm4Z2sOhHvTi6qyqWAZugJ5NMmjlcx+VN5YVwz/KDvXuvt9aAC4maCLesMkpyBsTGeTjPPp1p8kaSxtHIoZHBVlIyCD1FDusa7nYKvqTgUkqu8LrG/luVIV8Z2nscd6AFRFijVI1CogwqqOAB2FMtpWnt0kaJ4WYZMcmNy+xxT4wyxqHbewADNjGT64oR1kQMjBlPQg5BoAbFBFAGEMaoHYuwUYyx6n6mqtrK0up3oaKSPYEUF8fOPm+Ye3P6VZgjljVxNN5pLkqdoXapPA/D1qGF1bU7oKykqkYYA5wfm61L3Rcdn/XVFuiiiqIKV1BFPqdn5sSSeWrum5QdrDbgj0NWLmVoLd5I4XmZRkRpjLewzxVW9ill1Oy8q4aHZvZtqg71+XKnPQH1HPFXZJEiQvI6og6sxwBUrdly2X9dWDKskZV1BVhgqwyCPShEWKNY41CooCqqjAAHYUMCyEK20kcEdqbAjxwRpJIZXVQGkIALH1wOKogS3leaMs8LwkMy7XxkgHAPHY9aWOGOIuY40QyNucqMbj6n1PFOjkSVd0bq65IypyMjrTIo5EklZ5jIrtlFKgbBjoMdfXn1oAPNf7V5Xkvs2bvN425zjb65705oY2mSVo0MiAhXI5UHrg/hS+YnmGPevmAbtueceuKY8cjTxOsxREzvjCgh89Oeox7UAE8rxGPZC8u9wp24+Qf3jntTpYY502TRpImQdrjIyDkfrSvIkZUO6qWO1cnGT6CmXEcksDJDMYXOMOFBI59Dx7UAOlcxwu6o0jKpIRerH0GaI2MkSsyFCyglW6j2NK7rGjO7BVUZLE4AFKCGAKkEHkEd6AGwwx28SxQxrHGgwqIMAD2FNgleXzN8LxbHKjdj5gP4hjsaLaOSKBUmmMzjrIVAJ/AcU9JEkyY3VtpKnac4I6igBEhjjkkdI0V5CC7AYLEDAz68U3zX+1CLyX2FN3m8bQc42+ue9Eccizyu0xdHxsjKgBMDnB6nPvT/ADE8zy96+Zjdtzzj1xQAjQxvKkrRo0kedjEcrnrg9qbPK8Xl7IXl3uFO3Hyg/wARz2FEkcjzROkxREJ3oFBD8cZPUY68U95Ej273Vdx2rk4yfQUAJNDHcRmOaNJEJB2uMjg5H60SuY4ndULsqkhV6t7Cm3McksDJDMYXOMSBQSOfQ8U9mVELOwVVGSScACgBInMkKOyFCyglG6r7GiGGO3iWKGNY41GFVBgD8KUEOmUYYYcMOfxptvG8VvGkspmkUYaQgAsfXA4oASCV5Q5eF4irlQGI+YDowx2NV7eGOLVLto40RpEjZyowWPzDJ9TgCraSJICY3VgCVO05wR1FU7WOSPU7wyTNIGCMoKgbB83yjHX8fWpe6Ljs/wCuqL1FFFUQUL2aSLU7Ly7d5t+9W2sBsHy/Mc9QPbnmrksUc8bRzIsiN1VhkH8Kq3M0UOp2nmyIm9XRdzAbm+XgepqxcRPNbvHHM0LsMCRACV9xnipW7Llsv66sexKoSq7iBwB3psDvLBG8kZidlBaNiCVPpkcU5mWNCzsAqjJYnAA9aEdZEV42DIwyrKcgj1FUQJFFHCm2KNUXJOFGBknJP502KWR5JVeFo1RsKxIIcYByMdPTn0ot4nhjKyTPMSzNuYAEAnIHHp0p0c0cpcRyI5RtrhTnafQ+h5oAPKj84y7F80rtL45x6Z9KbJLIs8SLCzo+d0gIwmOmR1Ofajyn+1eb5z7Nm3ysDbnOd3rntTmmjWVImkQSOCVQnlgOuB+NAA8UcpQyRq5RtylhnafUehptzLJDAzxQtM4xhFIBPPqePeiaJ5THsmeLY4ZtoHzj+6c9qdLNHAm+aRI0yBuY4GScD9aAFdEljZJFV0YYZWGQR6EUqqEUKoAUDAA6Cmyo0kLormNmUgOuMqfUZojUxxKrOXKqAWPU+9ADbaWSaBXlhaFz1jYglfxHFOjijiDCNFQMxZtoxknqfrRFLHPEskLrJGwyrKcgj2NNgieLzN8zy7nLDcB8oP8ACMdhQARyyNPKjQsiJjbISMPkc4HUY96d5UfnebsXzdu3fjnHXGfShJo5HdEkRnjIDqDkqcZ59OKaYn+1CXzn2BNvlYG0nP3vXPagAklkSaJFhZ0cnc4IATA4z3OenFOkijl2eZGr7G3LuGdp9R70NNGkiRtIqySZ2KTy2OuB3ps8Ty+XsmeLa4Y7QPmA/hOexoALmWSGBnihaZxjEakAnn1PFPdFkRkdQyMMMrDII9KSWaOCMvNIsaAgbmOBycD9aJVLxOquUZlIDDqp9aAFCiOMKigBRgKOPwptvI8tvHJJE0LsoLRsQSp9MjiliUxworuXZVALt1b3NEU0c8SyQyLJG3KshyD+NABHFHCGESKgZixCjGSep+tVLWR5NVvQ8LRhFjCsSDvHzHIx09OfSrMETxBxJM8pZywLADaD0UY7CoLeWOXU7sRurlFjVgpztPzcH0PIqXui47P+uqLlFFFUQU7iKOXUrTzEV9iuy7hnB+Xke9T3EkkVu7wwmaRRlYwwUt7ZPFVL2B5tTsdk8kOze52Y+cDb8pyOn09KuTTR28LSzyLHGgyzucAD3NSt2XLZf11Y8gOpDAEEYINCqqKFUBVAwABgAUjDehCsRkcMO3vTYI2hgjjaRpWVQC74y3ucVRAlvJJLGWmhMLBiApYHIB4PHqOaesaIWKKqljlsDGT6mmwzxXCFoZEkUMVJU5AIOCPwNJFC0ckzNM7iRshWxhOAMD278+tAB5kn2ox+SfK2bvN3DG7P3cdffNPMaF1cqpdQQGI5GetN8+Lz/I8xPO279mfm25xnHpmkkhZ54pBM6qmcxjGHz6/SgAmkkjMflwmUM4ViGA2D+9z1+nvT3jSVdsiqy5zhhkU2WeKHZ5siJ5jBE3HG5j0A96S5haeBo0meFjj50xkc570AOlZ0hdo4zI6qSqAgbj6ZNLGzPGrOmxiASpOcH0okkSKNpJGCogLMzHAAHUmhHWRFdGDIwyGByCKABESJAkaqqrwFUYApkEkknmebCYtrlVywO5R0bjpn0otomgt0jeZ5mXrI+Mn644pYp4p9/lSI+xijbTnaw6g+9ADljRGZlRQznLEDk/WmeZJ9qEfknytm7zdwxuz93HX3zRHCyTyyGZ3WTGEOMJgdvr70vnxCcQeYnnFd4TPzbc4zj0oAcY0Z1dlUsudrEcjPXFMnkkj8vyoTLucK2GA2L3bnrj0okhZ5oZFmdFjJJRcYfIxz9OvFLLPFBs82RE3sEXccbmPQD3oAc8aSrtkVWX0YZFJKzJE7IhdwpKoDjcfTNNuYWngaNJnhZsYdMZHPvT3dYo2eRgqKCWYnAA9aAEjZniRnTYxUFkJztPpmlSNIkCRqqKOiqMAUius0QeNwUdcqynIIPQim28TQ28cbyvMyqAZHxub3OOKACCSSRXMsJiIcqAWB3AHhuPWoYERNTutiqu5I2bAxk/NyanininDGGRHCsUbac4YdQfeqtrE0eq3rNM8gdY2CtjCD5hgY7cZ59al7ouOz/rqi9RRRVEGfeyTR6nY+TB527er/ADhdi/Lluev096vsqupVlDKeoIyDVK7uYbbU7ITypGZQ8abjjcx24A9+Ks3EJnt3iWWSEsMCSPG5fpmpW7Llsv66sfIWWJjGm9gCVXOMn0zSRM7wo0ieW5UFkznae4z3pSwRCzHCqMkmkhmjuIUlhdXjdQyspyCD0IqiBVVUGFUKM5wBTIZJXaUSw+WFfCHdneuBz7d+Pai3hMEZVpZJSWLbpCMjJzjjsOlLHcRTSSpHIrPE21wDypxnB/AigB21d+7aN2MZxzimPJKLmNFh3RMCXk3Y2njAx3zz+VHkn7UZvNk27Nvlcbeud3rntSvcRRzRwvIqyS52KTy2OuPpQA5lVsblBwcjI6GmXEkscW6CHznyBt3beM8nPsOaJoTKYysskexwx2Y+f2PtSz3EVrC0s8ixxrjLMcAZOB+poAeQGBDAEHgg0Y2rhQMAcAU2VDLC6B2jLKQHXqvuPeljUpGqlmcqANzdT7mgBlu8slujzxeTKRlo927afTPenqqrnaoGTk4HU02C4iuoVmgkWSNvuspyDSQQmHzN0skm9y434+XP8Ix2FABFJK00yyQ7EUgI+7O8Y5OO3PFP2rv3bRuxjOOcU1LiKSaSJJFaSLG9QeVzyM0nkn7UJvNk27Nvlcbc5zu9c9qAB3lWeJEh3Rtne+7Gz0475p7KrY3KDg5GR0NNe4iiliieRVklJCKTy2Bk4/CknhM3l7ZZI9jhzsx8wH8J9qAC4kljhLQQ+dJkYTdtyM88+w5qQgMCCAQeoNMnuIrWFpp5FjjXqzHAHallQyROgdkLKRuXqvuKAHABVAUAADgCo7Z5ZLdHni8mUj5o927b+PenIvlQqrOzbFALt1OO5pIZ47mFJoHWSJxuV1OQR6igByqqZ2qBk5OB3qnavK+p3vmxeWFCBDuzvX5vm9u/HtVmCEwq4aWSXc5bL44yegx2FV7aeKbVbxIpFdoljVwpyVPzHB/Aipe6Ljs/66ou0UUVRBUnVW1K13KDhJCMjoflqa4eWO3dreISygfKhbaGP17VVvbfz9Tsf30sXl73/dtjfjb8reoq3cXEVrA808ixxIMszHAAqVuy5bL+urH9RyOvUUABQAAAB0Apsi+bEyhmXcpG5Tgj3FEUflQpHvZ9ihdznLHHcn1qiBtu8zxkzxCJtxAAfdkZ4OfcdqS4uILKF5riSOKMfeZjisG58ZWLXMtrY3Vt5kTmOSadisaMDggDqxHoOPemWl9oMM5ubrWI7y6LbhJM4Ij9kXoo+nPvQBojU9RuZibHSw1tt4luZzCWPsu0nHucU43GsEgnS7LI6H7a3H/kOm/8JVom/b/adtuxnG/tUb+IdGe5jm/teMbARsEnytnHJHfGOKAJXu9bXbt0qzbJwf8ATjwPX/V0rXGsMMNpdkR6G9b/AON1WvPGeh2USs19HIzsERI+Szent0PWqE2r2eqoVv8AWobSAkHyLWbDEejP+hAx9TQBal1/VPPNva6Va3c4OHWG9JEf+8xjAH0zmry3WtFQW0yyBxyPtzf/ABuoYfEPh+ztxHDfWcUSDhVIAFSf8JRorLkanbYI6h6AHLcawowul2QA7C9b/wCN0iXettu3aVZrg4H+nHkev+rqK38Q6Nb26Rf2tFLsGN8kmWb6mq1z420sTNbWN1DNOvDMzFY4/q2OfoMmgC5Je6pbo80un6fGgGWdr4gD6ny6gtNY1i+YmDR4PIA4me8Kq5/2QY8ke+AKqW99orXBudS1mG8nLBlVmxFEcfwJ0H1OTWn/AMJVom/b/adtuxnG/tQA43GsEgnS7IkdD9tbj/yHSPd62u3bpVm2Tg/6ceB6/wCrqJ/EOjPPFL/a0a+Xn5FkwrZ9R3x2pZfFmjpsVL1JpZGCRxRfM7segAoAla41hhhtLsiD2N63/wAbrM1DxPqVnFceTpVtcyQIzyLDekiMAE/MTGAOnTOa0JbK+1eMi9mksrc4/cW7/vCP9p/6L+Zp2s28Np4V1KKCNIoktJcKowB8hoA0YHaW2jeRAjugLKDkAkcjPenqoUAKAAOgFRWrrLZwujBlaNSGHcYpbaH7PbpF5kku0Y3yNlj9TQAQPK4fzohGQ5CgNu3L2Ptn0qKFQNTucADMcZOB15apYbiK5VjDIrhHKMVPRgcEVWtYfJ1O9PmSP5gR8O2dv3uB6Dj9TUvdFx2f9dUXqKKKogoXrzpqdl9niSQHeJNz7dq/Lkjjk9OKvEAjBGR71RvbqG11OyE8ioZd8aZ/iY7cD9DVq4h+027xGSSMOMb422sPoe1St2XLZf11Y9iwQlQC2OATjJpsDSNBG06KkpUF1VtwU9wD3pXdYYmd2wiKSxPYCiKVJ4UlibcjqGUjuD0qiDN8P/6i9/6/p/8A0M1oRNM0koljVUVsRsGyWGByRjjnNZvhxNlterlj/p9xyxyf9Ya0obmK4aVYnDGJ9jgfwtgHH6igCTAznvUbtMJ4ljjVomz5jlsFfTAxzmjyB9q8/wAyTOzZs3fJ1znHr70PcxJcRwM4EsgLIvqBjP8AMUAUNU/5C2jf9fL/APomSr9y0yQM1vGskoxhWbaDzzzg9qzdYj83VdEG5123bN8pxnEMnB9q0ri5itIvNncImQuT6k4H6mgCTrwaWmSx+bC8e5l3qV3IcEZ7g9jRGgiiVNzMEUDcxyTjuTQA22aZ4Fa4jWOU/eRW3AfjgVQ0b/j71f8A6/T/AOio6v29xFd26TwOHicZVh3FZuhR+Xc6wNzNm/Zssc9Y4zj6UAaUbTGeVZI1WJceWwbJbjnIxxzUmBnOOajjuYppZYo3DPCQsg/ukjI/Q0eQDdCfzJMhNmzd8nXOcevvQASNMJohHGrRsT5jFsFeOMDHPNZ2u/6zSv8Ar+T/ANBatF7mKOeKF3AklzsX+9jrWbr67pNJ5Ixfxng4/hagDSuWmSBmto1klGNqM20Hn1wap+IP+Rc1P/r0l/8AQDVm9vrbTbVrm8mSGFcAux45OB+tZ1ybrXbaW2hja1spkaN55VxI6kYOxe3HdvyoA1Ici1j2jkIMD8KW3aV7eNriNY5So3orbgp9M96IIhb28cQZmEahdznJOBjJPrSW9xFd26TwOHicZVh3oAkAA6DFUrVpm1W9EsaIoWMRlXyWX5uSMcc54qzBB5AcCSR97l/3jZxnsPb0FVrW4in1O9EThjEER8fwt8xx+oqXui47P+uqL1FFFUQVZf8AkJW3/XOT+a1LctMtu5tkR5gPkV22gn3PNVb238/U7L97LH5e9/3bY3Y28N6j2q1cXEVpbvPO4SJBlmPQCpW7Llsv66skHTmlprDehAJAYdR1psEXkQRxb3k2KF3ucs2O5PrVEGJp0et2Qul+w2TLJdSyqTdsCVZiRwIz296ufaNa/wCgfY/+Brf/ABqr0FzFdIXgcOoYoSPUHBH5iiKDypJX8yR/MbdtdsheMYX0HFAGf9p1zzMf2dYbMdftrdf+/dO+0a1/0D7H/wADW/8AjVXvtMX2r7NvHnbPM2d9ucZ/Oh4N88UvmSL5efkVsK2fUd8dqAOf1OfWDqWkE2NkHFy20fa2Ib91Jnny+OPrWl9o1r/oH2P/AIGt/wDGqj1iVIdV0QyMFDXbIM9yYZMCtK5g+0QNF5kkWcfNG2GGDnrQBQa41sKdunWBbHH+mt/8aoW41vaN2nWGcc/6a3/xqtGWVIInllYKiKWZj2A6mljkWWNZI2DI4DKR3BoAzvtGtf8AQPsf/A1v/jVZukz6uLnVdtjZEm9O7N2wx+7j6fuznjHpXQW0H2eBYvMkl2/xyNuY/U1m6HIktzrBjYMBflTj1EcYI/OgCT7RrX/QPsf/AANb/wCNVWfVNZj1KG0Om2WZY2cN9tbHykZ/5Z/7Va8cHlzyy+ZI3mY+Rmyq4GOB2zWXc3UH/CYWNt5qef8AZZn8vPzYynOKAJvtGtf9A+x/8DW/+NVS1KHXb1rLZZWEfk3KyljdM2AAR02DPX1rbkg8yaKTzJF8sk7VbCtkY+Yd6JrmK38vznCeY4jTPdj0FAFS30lFmW5vJGu7peVdxhU/3F6L9evvVydpEgkaBBJKFJRGbaGPYZ7UlzB9ogaLzJIt2Pnjbaw57GnSSJDE8kjBUQFmJ7AdaAFUkoCww2OQDnBp1MSRJ4VkjbKSKGVh3B6Gkt4fs9vHF5kkmxcb5Dlm9yfWgBLd5nRjPGsbBiAFbdlc8Hp3Haoov+Qlcf8AXOP+bVLBcxXIcwuHCOY2x2YcEVWtYfK1W9bzJH8xY2w7ZC/eGF9Bx+pqXui47P8Arqi9RRRVEFC9eddTsvs8SSA7xJufbtT5ckcHJ6cVe61RvbqC11OyE8ioZd8aZ/iY7cD9DVq4h+027xGSSPeMb422sPoe1St2XLZf11Y+QuI2MahnAO0E4BPbmkiLmFDKqrIVG5VOQD3APelZhGhZjhVGST6U2CaO5gjmhYPHIoZWHcHoaogf0qOFpmaXzo0VQ+IyrZ3Lgcnjg5zxRbwfZ4ygkkkyxbMjbjyc4+g7URXMU0kscbhnhbbIB/CcZx+RFAEnvUbtMLmNUjQwkHe5bBB4xgY570eR/pRn8yTJTZs3fJ1znHr70PcxRzxQu4Ekudi/3scmgChqn/IW0b/r5f8A9EyVfuGmWLNvGjyZHyu20Yzzzg9s1k+ILZrq+0aNLma2YXbMJIcbhiGTjkEY/Cn3FnNaQNNPr18ka4yxjg4ycD/ln6mgDYpO3FZcmj3ckbIdd1EBgQSqwgj6Hy+KVNIu0RVGuagQoxlkgJP1Pl0AX7dpmt0NwiRzEfOqNuAPscDNZFlfW9hPqz3EgTdfYVQMs58qPgAck/SpLezmu4Fmt9evnjf7rCODn/yHVfw3psVre6vI7vcXP20g3E2C5HloccAADnoAKALKnVNTd9w/s60J+Ughp3GO/ZP1P0qBrC3sPEOlpbxhd0dwWYnLOfk5JPJP1rZjuYpZ5YUcGSHG9f7uRkVl3sX/ABVulS73z5Fwu3Py/wABzj1oA1HaYTxCONDEc+YxbBX0wMc1JUclzFFNFFI4WSYkRqf4sDJ/SieDz/L/AHkibHD/ACNjdjsfUe1ABcNMsJNvGkkmRhXbaMZ55we2alqK5uYrSBprhwka4yx7c4p0qebE8e5l3KV3KcEZ7g+tADjkKdo5xwKjt2le3ja4RY5SvzqrbgD6A8ZpyKIYVUszBFA3Mck47k0lvcRXVuk8Dh4pBuVh0IoAfVK1aZtTvPORFACCPa2dy/NyeODnPFWYIPIVx5kj7nL5kbdjJzgew7Cq1rcRT6repFIGaJY0kA/hPzHH5EVL3Rcdn/XVF6iiiqIKsv8AyErb/rnJ/NaluWmW3c2yI8wHyK7bVJ9zzVW9txcanYlpJU8vfIPLcruxt4PqOelWri4itLd5532RIMs2M4FSt2XLZf11ZIM4560tMdRLEyZYB1IypwRn0NEUYhhSMMzBFCgsck49T3NUQNt2naMm4REfc2AjZG3PB6dcVLUVvcxXUZeB96hihOO4OCPzFEMAhaVg8jeY+8h3JA4AwPQcdKADdN9q27E+z7M7t3zbs9MY6Y75qWovtMX2o22/98E8zbj+HOM/nQ8Ae5jmLyAxggKGIU5x1HfpQBm6wZBquieUqsftbbtxxhfJkyfrWvWLr93DY3ukXFy+yFLlgz4JAzFIBnHvSXHiHRrmLy21HYMg5jLKeDnqB7UAbEpkELmFVaQKdoY4BPbJojLmJDIAHIG4KcgHvistvFWjKpY38eAMn5W/woHinRmXIv0wR6N/hQBr1kaGXNzrHmKoP29sbTnjy48fpTLfxFo1tbpCuo7wgwGkLMx+pI5qnpGpTXdxqn9lQeakl4WFxKCsQHloOO7cg8D8xQB0M9xDawtLcSJFGvVnOAKyEe51PxBZ3cNqyafBFKPOlO1nZtuNqdcYHU4qza6LHHcm6vJpLy6J3BpT8kZ/2E6L/P3q99pi+1C23/vinmbcfw5xn86AJainaZfL8hEbLgPvbGF7kccn2oeASTxSl5AYs4VWIU59R3onuYrfy/Ofb5jiNOOrHoKAJaZKXETmIK0gU7QxwCe2TTbiAXMJjZ5EBIOY2Kng56j6U6WRIYnlkO1EUsx9AOtABEXMSGVVWQqNwU5APfBp9MjkWaJJIzlHUMp9QabbQC2t0hV5HCDAaRizH6k9aACBpmD/AGhEUhyF2NnK9ieOvtUUX/ISuP8ArnH/ADapYLmK5V2hfcEcxtx0YHBFVrWAQ6nekPI3mBHO9icfeGB6DjpUvdFx2f8AXVF6iiiqIKF6bganZfZ0iYHeJN7EYT5ckYHJ6cVfrPvbqG11OxEzFfN3xphScsduBx06VbuIFurd4XLhXGCUYqfwI5FSt2XLZf11Y9t2xtgBbHGemabAZTBGbgIsu0bwhyoPfB9KV3WGJnYkKikk4zwKIpVnhSWMko6hlJGOD7VRA+oojOZJfOWMIG/dlSSSMd/Q5zRb2620ZRC5BYt87FjknPU9vaiG5jnaVYySYn2PlSMHAPfr17UAS1E5nE8QjWMwnPmFidw9MDvR9nX7V9oy+/ZsxuO3Gc9Omfeh7mNLmOBifMkBZRtOCBjPPQdaAJaiuTOIGNqsbS8YEhIXrzyPbNE1us5jLFx5bhxtYrkj1x1HPSi4uY7WLzJiQmQuQpPJOBwPc0AS0UyWMTQvGxYK6lSVODz6HtRGghiVASVRQAScnj370ANtjOYFN0sazfxCMkr+BNS1Fb3Ed3bpPCSY3GVJUjj6HmiC3W38zYXPmOXO5i2CfTPQe1ABGZzPKJFjEQx5ZUkseOcjtzUtRR3Mc000SEl4SA4KkYJGevfg9qDbqboXGX3hNmNx24znp0z70AEhnE0QjWMxEnzSxIIGOMDvzUtRPcxx3EULEiSXOwbSc4689B+NE9utx5e8uPLcONrFckeuOo9qAC5M4gY2qxtNxtEhIXr3I9qlqK4uY7WEyzEhAQMhSepwOB7mnSxiWJ42LAOpUlTg8+h7UAOOcHHXtmmW5mNvGblUWYr84QkqD7E0sUYhhSNSxVFCgscnj1Pem21xHd26TwkmNxlSVI/Q80AS1RtTOdVvfOWMIFj8sqxJK/N19DnNWYLdbcOELne5c72Lcn0z0HtVa1uI59UvRGSTEER8qRg/Me/XqKl7ouOz/rqi9RRRVEFWX/kJW/8A1zk/mtS3HnC3f7KIzNj5BISFz745qpe2sdzqdiZC/wC63yLtcryNvXHUc9DVu4uEtbd5pd2xBk7VLH8hyalbsuWy/rqyQdOetLTWAkjIOcMMccGmwQrbwRwx7tkahRuYscD1J5NUQJb+f5Z+0iMPuOPLJI254698YzUtRW9wlzGXj3YDFTuUryDg9aIrdIZJpE3bpW3NliRnAHAPTp2oAP3/ANqPEf2fZ1yd+7P5YxUtRfaE+1fZ/m8zZ5n3TjGcdemfaiS3SS4imbdviztwxA54OR0P40AE3n5j8gRkbx5m8n7vfGO/SpaimuEtzGJN37xwi7VJ5PrjoOOpoubdLqBoZN2xsZ2sVPBz1HPagB0vmeS/khTLtOzf93PbPtSx7/LXzNu/A3beme+KSWRYYXkfO1FLHAJOB7DrSxyLLEki52uAwyMHB9qAHVFB5/7z7QIx852bCT8vbOe9Ftbpa26Qxbti9NzFj+Z5oguEuPM8vd+7cxtuUjkdcZ6j3oAlqL9/9qHEf2fZ1yd+7P5YxRHbpHPLMu7fLjdliRwMDA6D8KPtCC6Fv83mFN/3TjGcdemfagCWopvP/d+QIz8437yR8vfGO9Eluks0Mrbt0RJXDEDkY5Hf8aJ7hLfy/M3fvHEa7VJ5PrjoPegCWmS7/Kfytpk2nbu6Z7Z9qbc26XUDQy7tjYztYqeueo5p0kixRPI2dqAscDJwPagAi3+Unm7RJtG7b0z3x7U+mRSLNEkiZ2uoYZBBwfY022t0tYFhj3bFzjcxY8nPU896ACDz9jfaPL3bzt8vONueM57461HF/wAhK4/65x/zapILhLgOY92EcodyleRwevUe9VrW3SHVb103ZlWN23MSM/MOM9OnQVL3Rcdn/XVF6iiiqIM+9+0f2nY/ZvKx8/meZn7ny52479OtaFZ97dR22p2IkDnzd8a7ELcnb1x0HHU1buLeO6t3hlDFHGDtYqfzHNSt2XLZf11Y+Tf5beVt8zB27ume2aSLzPJTztvm7Rv2fdz3x7UrMI0LHOFGeBk02CZbiCOZAwWRQwDKVOD6g8iqIJKih8/dL5/l7d/7vZnO3A6575zRb28dtGUiDBSxb5mLck5PX60RXCTSSoocGJtrblIBOAeD369qAJaifz/tMezy/IwfMzndnjGO3rmj7PH9qNxhvMKeXnccYznp0/GiS4SOeKFg+6XO0hSQMdcnoPxoAlqK48/yv9G8vzMj/WZxjPPT2zRNbx3BjMgb904dcMRyPp169DRc3CWsDSyByq4yEUseTjoOe9AEtIenHWmyxLPC8T52OpVsEg4PuKWNFijVFztUBRk54FADLfzvs6favL87Hz+Xnbn2zzUtRW1wl1bpNGHCt0DqVP5HmiC3jt/M8sN+8cyNlieT169PpQAR+f503m+X5WR5W3OcY53fj6VLUUdwkk8sKhw0WNxKkA5GeD0P4UfZ4/tQuMN5gTy87jjGc9On40AD+f58Xl+X5PPmbs7vbHb65qWopLhIpoYmDlpSQpCkgYGeT2/Gie3juPL8wN+7cSLhiOR9Ov0oALjz/JP2Xy/NyMeZnbjPPT2zUtRXNwlrA00gcquMhFLHrjoOadLGs0Txvna6lTg4OD7igBxzg7cZ7ZqO3877PH9p8vzto3+Xnbn2zzinIiwQqi52IoAySTgfzptvOtzbxzRhgjqGAdSp/EHkUAS1RtfP/tO988x4wnl7M/d+brnvnP6VZgt47ZXEYYB3LnLE8k5PX+VVrW4SbVb1FDgxLGjbkIBPzHgnqOeoqXui47P+uqL1FFFUQVZf+Qlb/wDXOT+a1LcCY27i2MazY+QyAlQfcCql7aw3Wp2JmQsYt8ifMRhhtweOvWrdzOttbvM6uyoMkIpZj9AOTUrdly2X9dWSDOOetLTHRZomRxlHUgjpwaIokghSKMYRFCqM5wB0qiBtuJxGftLRl9xx5YIG3PHXvjrUtRW9wtzGXVXUBiuHUqeDjoe3FENtFbtK0S7TK+9+ScnAGf0FABif7VndH9n2dMHduz69MYqWovtC/ajb7X3BN+7aduM4xnpn2oe2ie5jnZcyxgqrZPAOM8fgKACYTkx+QYwN48zeCcr3xjv0qWoprhYDEGV28xwg2KWwT3OOg460XFtFdxeVOu5MhsZI5ByOnuKAHS+YYX8kqJNp2FhkZ7Z9qWPf5SeaVMmBuKjjPfFJNIIYXkYMQiliFGSceg70I4liVwCA6g4YYPPqKAH1FAJx5n2gxn5zs2AjC9s570W9vHaW6QQLtjjGFXJOB+NEFwtx5m1XXY5Q71K5I7jPUe9AEtRYn+1A7o/s+zkYO7dn16YxRHbRQzSyxrh5iGc5PJAwP0o+0L9qFvtfcU37tp24zjGemfagCWopxOfL+ztGPnG/eCcr3xjvQ9tFJPFM65kizsOTxng0T3CweXuV28xwg2KWwT3OOg96AJaZLvMT+UVEm07SwyM9s024toruExTruQkEjJHIOR09xTpZBFE8jBiEUsQoyTj0HegAi3iJPNKmTaNxUYGe+Pan0yNxNEjgMA6hgGGCM+o7U22t4rS3SCBdsaDCjJOPzoAIBOA/2hoyd52bAR8vbOe9Rxf8hK4/65x/zapILhbhXKq67HKHepXJBxkZ6j3qta28UGp3piXaZQjvyTlvmGf0FS90XHZ/11ReoooqiChqEV811aTWP2fEbESrLnlDj7uOh4qXzbz/AJ9of+/x/wDiaKKm3mXzaWaEaS+KnbbwBscEzHGf++abDJqKwIJ4LdpQo3skpCk98Db0ooos+4cy7fn/AJj/ADbz/n2h/wC/x/8AiajifUhJKZYbZkLfuwspBUY78cnOaKKLPuHMu35/5knm3n/PtD/3+P8A8TUbvqRniMcNsIhnzFMpLH0wccUUUWfcOZdvz/zJPNvP+faH/v8AH/4mo7h9SaFhbQ2yS8YZ5Sw688ADtmiiiz7hzLt+f+ZJ5t5/z7Q/9/j/APE0ebef8+0P/f4//E0UUWfcOZdvz/zI7d9SWBRcw2zy/wATRylVP0BBqTzbz/n2h/7/AB/+Jooos+4cy7fn/mRo+pCeUyQ2xiOPLVZCGHHOTjnmpPNvP+faH/v8f/iaKKLPuHMu35/5kcj6kZojHDbCIE+YGlJLDHGDjjmpPNvP+faH/v8AH/4miiiz7hzLt+f+ZHcPqTQMLaG2SX+FpJSyj6gAVJ5t5/z7Q/8Af4//ABNFFFn3DmXb8/8AMPNvP+faH/v8f/iajt31JYVFzDbPLzlo5Sqnnjgg9qKKLPuHMu35/wCZJ5t5/wA+0P8A3+P/AMTUdjDeLd3U14YsSFREseflUZ4J7nJ60UUW8w5tLJF6iiiqIP/Z)
Question 2.Draw a cuboid on the isometric dot sheet with the measurements 5 units × 3 units × 2 units.
Answer:![](data:image/jpeg;base64,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)
Question 3.Find the number of unit cubes in the following 3-D figures.
![](data:image/jpeg;base64,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)
Answer:A unit cube is drawn by joining 2 adjacent dots in the isometric sheet.
Here in the vertical bar, there are 2 unit cubes
In the horizontal bar, there are 3 unit cubes
∴ Total no of unit cubes in given figure is: 5
Question 4.Find the number of unit cubes in the following 3-D figures.
![](data:image/jpeg;base64,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)
Answer:Here, in each bar there are 2 unit cubes
∴ 2× 4(bars) = 8 unit cubes
And also there is a unit cube in center
∴ Total no. of unit cubes in given figure are: 8 + 1 = 9
Question 5.Find the number of unit cubes in the following 3-D figures.
![](data:image/jpeg;base64,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)
Answer:Here, there are 4 unit cubes in the top layer
In bottom layer, there are 4 + 12 = 16 unit cubes
∴ Total no. of unit cubes in the given figure are:20
Question 6.Find the number of unit cubes in the following 3-D figures.
![](data:image/png;base64,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)
Answer:Here, there is 1 cube at the top
In the middle layer, there are 4 cubes
In the bottom layer, there are 9 cubes
∴ Total no. of cubes = 1 + 4 + 9 = 14 unit cubes
Question 7.Consider the distance between two consecutive dots to be 1 cm and draw the front view, side view and top view of the following 3-D figures.
![](data:image/jpeg;base64,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)
Answer:(a)
![](data:image/jpeg;base64,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)
(b)
![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAoHBwkHBgoJCAkLCwoMDxkQDw4ODx4WFxIZJCAmJSMgIyIoLTkwKCo2KyIjMkQyNjs9QEBAJjBGS0U+Sjk/QD3/2wBDAQsLCw8NDx0QEB09KSMpPT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT3/wAARCAF2ASQDASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD2aimucIxHoaytO09bjTraWS5vC7xqzH7Q3JI+tS5NOyLjFNNtmvRWZc6OZLaRLe8u4pWUhHM7Haexxnmi20cx2sSXF7dyzKoDyCdhuPc4zxReXYfLDv8Ah/wTToqj/ZMf/Pxef+BD/wCNH9kx/wDPxef+BD/40Xl2Dlh3/D/gl6iseHRJlv7iSXUbt7ZwvlQ+awMZHXnPOatf2TH/AM/F5/4EP/jReXYOWHf8P+CXqKo/2TH/AM/F5/4EP/jVa/0SaaBVstRu7eQOpLmVmyoPIwT3FF5dg5Yd/wAP+Ca9FUf7Jj/5+Lz/AMCH/wAaP7Jj/wCfi8/8CH/xovLsHLDv+H/BL1FUf7Jj/wCfi8/8CH/xqrp+iTQWoS+1G7uZtxPmCVl4zwMA9hReXYOWHf8AD/gmxRVH+yY/+fi8/wDAh/8AGj+yY/8An4vP/Ah/8aLy7Byw7/h/wS9RWOdEm/tMS/2jd/ZPK2mDzWzvz97dnPTtVr+yY/8An4vP/Ah/8aLy7Byw7/h/wS9RVH+yY/8An4vP/Ah/8arX+iSzWbpZahd285I2yGVmxzzwT6UXl2Dlh3/D/gmvRVAaTHgZubwnuftD/wCNL/ZMf/Pxef8AgQ/+NF5dg5Yd/wAP+CXqKo/2TH/z8Xn/AIEP/jVaz0SaLz/teo3c+6UtHiVl2J2Xrz9aLy7Byw7/AIf8E16Ko/2TH/z8Xn/gQ/8AjR/ZMf8Az8Xn/gQ/+NF5dg5Yd/w/4JeorHk0SZtQhlj1G7W1VWEkPmsS5PQ5zxirX9kx/wDPxef+BD/40Xl2Dlh3/D/gl6iqP9kx/wDPxef+BD/41Be6K81lLHZ393BcMuElMzMFPrjPNF5dg5Yd/wAP+CatFZ8ekKsSCS6vGcABm+0OMn1607+yY/8An4vP/Ah/8aLy7Byw7/h/wS9RVH+yY/8An4vP/Ah/8aq2eiTRGf7XqN3OHlLRYlZdidl68/Wi8uwcsO/4f8E2KKoNpUYUn7RedP8An4f/ABqTSnaTSbVpGZ2MSksxyScUKTvZoHFcvMmW6KKKozGv/q2+hrI8MW97Bpim9vFuFkAaFRHt8tMcL7/WteT/AFbfQ1V0j/kD2f8A1xX+VT9pGi/hv1X6lyio50kkt5Ehk8uRlIV8Z2nscUyzimhs4Y7mbz5lUB5du3efXA6VRmR3kF1NNata3QhSOTdMpTd5i/3fb61boooAKawJQhThiOD6VXigul1KeaS632zoojg2AbCOpz1OatUAVtPhubexjjvbgXNwo+eUJt3fhVmiquowXNzamOzuvssu5T5mwNwDyMH1FAFqqhgujqizC6AtBEVMGzkvn7276dqtUtABRRVXT4Lq3t2S8uvtMhdmD7AuFJ4GB6UAGow3VxZtHZXItpyRiQpuwM88e4qyMgDJyfWlooAKKqtBdHU451usWqxlWt9g+Zs8Nu61aoAqafBdQRSi8uRcO0rMjBNu1T0X8PWrdFVtQhuLiykis7n7NO2Nsu0Nt59DQBZqpLBdNqUM0dyEtURhJDsyXY9DntirKAhFDHcwHJ9adQAUUVVs4LqGS5Nzdeeskm6JdgXy1x93jr9aAH3sU81nLHazCCdlISQru2n1x3p8CukEayv5kiqAz4xuOOTipKKACiqs0F0+oW8sV15dvGGEsOwHzCenPbFWqAKtnBdQyXJurkTrJJuiUJt8tcfd9/rVqioL2KaezmjtZ/ImZSEl2hth9cHrQBPVSS3uW1OGdLrbbIjK8GwHex6HPbFTwq6QRrK/mSKoDPjG445OKkoAKKKq2cFzDLctc3XnrJIWiXYF8tf7vHX60AJqcNzcafNHZXItrhl+SUpu2/hTdGyNFsgTk+SuT68Vbf7jfSqmj/8AIHtP+uS/yqX8SNF/Dfqv1LtFFFUZjX/1bfQ1keGLW7ttMVru+N0soDxKYwvlLjhff61ryf6tvoaq6R/yB7P/AK4r/Kp+0jRfw36r9S5RUdwkktvIkMnlSMpCuBnafXFNtIpYbSKO4mM8qIA8pUDee5wKozIrq2uJrq1khu2hiiYmWMID5oxwM9qt0UUAFMmVnhdY32OykBwM7T61BFb3KajPPJdF7d1URwbABGR1OepzVqgCvYwzW9lDFc3BuJkUB5SoUufXAqxRVXULe5ubXy7S6NrLvU+YEDcA8jB9elAFqqq21wNUe4N2TbGIILfYMBs/ez1q1RQAUUVV063uba2KXd0bqTezCQoF4J4GB6UAGoW1xdW6pa3ZtZA6sXCBsgHkYPrVqiigAoqq1vcnVEnF0RbCMqbfYMFs/ez1q1QBV062uLW2Md3dtdSb2bzCgXgngYHpVqiq2oQXFzZSRWlybWZsbZQobbz6GgCzVVra4OqJcC7YWwiKG32DBbP3s9fwqyoIUBjkgcn1paACiiqtlb3MD3Bubo3AkkLRgoF8tf7vHWgBb+Ce5sZYbW5NtM4wswUMUPrg1PGrLGqs25gAC2Op9adRQAUVVmt7l9Qt5o7sx28asJINgIkJ6HPUYq1QBVsba4thN9pu2uS8rOhKBdinovHXHrVqioL2Ga4sporac28zqQkoUNsPrg9aAJ6qTW1w+o288d2yQRqwkg2AiQnoc9sVYhV0hRZH3uqgM+Mbj3NPoAKKKq2dvcwSXJuLozrJKWjBQL5a/wB3jr9aAE1O3uLqxeK1ujaynBEoUMQAckYPqOKbo/8AyB7P/riv8qtv9xvpVTR/+QPaf9cl/lUv4kaL+G/VfqXaKKKozGv/AKtvoayPDVlPa6crz30tysyq8aOoAhGPujHateT/AFbfQ1V0j/kD2f8A1xX+VT9pGi/hv1X6lyimTI0kLojmNmUgOOqn1qOygktbKGGa4e4kRQrSuAC59TiqMyO7tZ57m1khu3gSFy0kaqCJRjofSrdFFABTJFLxOqsUYggMO3vVeO1mTU5rlruRoXRVW3IG1COrA9cmrdAFewt5bWyihuLl7mVFw0zgAufUgVYoqrqNrNeWbQ291JayEgiWMAkYOcc+tAFqqgtZxqhuftb+QYtn2baNobP3s9c1aHSloAKKKq6fazWkLpPdyXTNIzh5AAVBPC8dhQAajazXdr5VvdvavuVvMRQTgHJHPr0qyOlLRQAUVVe1mbU4rlbuRYUjKtbgDa5PRieuRVqgCpp9rPaW7R3F2905kZg7qAQCeF49Kt0VWv7eW7sZYILl7aRxhZkALJz2zQBZqq9rO2px3Iu3WBYyjW4UbWJPDZ68VYRSsaqzFiAAWPf3p1ABRRVW0tZrea5eW7knWaTeiOABEMfdGO1ADr+3lurKWG3uXtpXXCzIASh9QDUsSskSKzl2VQCx/iPrT6KACiqtxazS31tPHdyRRRbt8KgbZc9M9+KtUAVbG1ntjP5929z5kpdNygeWp6KMdhVqiobyGS4s5YYZ2gkdSqyoASh9RmgCaqk9rPLqFvOl28cMQYPAFBEuemT2xU9vG0NvHHJI0rooVnbqxA6mpKACiiqtnaS20ty0t3LOJpS6K4GIh/dGO1ACanbTXenzQ2909pKw+WZACV/A03RgRotmCckQrz68Vbf7jfSqmj/8ge0/65L/ACqX8SNF/Dfqv1LtFFFUZjX/ANW30NZHhqxltNOEkt7PcrOquiS4xEMfdX2rXk/1bfQ1V0j/AJA9n/1xX+VT9pGi/hv1X6lyioriJp7eSJJGiZ1Kh16r7iktIGtrSGGSZ53jQKZX+85Hc1RmR3tpLdSWzR3ctuIZQ7LHjEo/un2q1RRQAUjDKkA4yOoqtFaSR6jPctdSvHKqqsBxsjx1I781aoAq6dayWVlHBNdS3TrnMsuNzc98VaornPGyXMmmWkdvezWqy3sEMphOGZHkCkZ7de1AF291+GG4NpZRPfXo/wCWMPRPd26KPrWdYS6p/wAJikOpXn3rFpvs0IxEnzhep5J561v2VjbadbiCzhSKMc4UdT6n1Puax5XVPiAjuwVV0pySTgAeatAHQUViPrk2ouYtBhE4zhruXIhX6d3/AA496i8HSXT6deR313JdTQX00JlcAZCtjgDoPagDW1C1kvbJ4IbqW1dsYlixuXnPGasqMKATkgdT3paKACiqrWch1RLv7VKIliKG342E5zu9c1aoAht7f7OHHmyyb3LfvG3Yz2HoPapqKKACoXt99zHN5sq7ARsVsK2fUd6jfUrKO9Wze8t1um5WAyqHP0XOatUAFFFNZ1RCzsFVRkknAAoAbNF50Lx73TcMbkOGH0NLEnlRIm5m2gDcxyT9TTHu7eMKXniUOpZSXAyAMkj2AqRHWRFdGDIwyGByCPWgB1FFFAEMNv5Lyt5sr+Y27DtkL7D0FTUVXvrd7uymgjnkt3kUqJY8bk9xmgCxVSS0lfU4boXcqxRoytbjGxyf4j7irEKGOFEZy5VQCzdW9zT6ACiiqtnaSWsly0l1LOJpTIokxiMf3RjtQAmp2kl7YvDDdS2rkg+bFjcMHP69Kbo//IHs/wDriv8AKrb/AHG+lVNH/wCQPaf9cl/lUv4kaL+G/VfqXaKKKozGv/q2+hrI8NWElnpyySXtxcCdVdUlOREMfdX2rXk/1bfQ1V0j/kD2f/XFf5VL+JGi/hv1X6lyimTR+dC8e9k3qV3KcEe4qOytvsdlDb+dJN5ahfMlOWb3J9aozGXlm93JbMl1NAIZRIwjOBIP7re1WqKKACkYZUjJGR1FVo7Ex6nNefaJ2EqKnklvkXHcD1NWqAK2n2j2NlHBJczXLJnMsxyzc96y/Fv/AB4WH/YStP8A0ctbtc941i8/SLWLe0fmaharvQ4ZcyryPegDoa5XUdKtdT+IFut55kiJpzN5Wf3bfvB1Hfnn8K6kcCufldY/iAjuwVV0pyWJwAPNWgDfRFjQIihVHAAGAKwvCX+q1b/sKXP/AKFT21ufUmMWgwiZejXkuRCv+73f8OPerGgaKNDspYTcy3Mk0zzyySYGXY5OB2HtQBb1C0e+sngjuZrZmxiWE4ZcHPFWFGFAyTgdTS0UAFFVXsi+pxXn2idRHGU8kN8jZ7ketWqACiiigDnotJu28X3l95vlW4EYCGBG83CnOHPIx7Vn3FpfwaYstzNrUgmuXM6W0hMqLltmwDouMZx7V2NFAdTiZbHW7izilafU4poLQNGscpG99/AcfxNt65rS0Cxkt9a1xblb9lnmDp57FoWQqv3c8ZzkEemK6SimHQ5DS9MvkW6W4t5VOnQyWtmzc+aDyHH1GB+FU9Jh1+TxF5d9NeQwmMg4WTy8eWMYP3AwPPHPFd3RSA4vTT4kmv4FvBcJDMVSQ9BH5eQzfR+MV2lFFABRRUN5b/a7SWDzZIvMUr5kZwy+4PrQBNVWSzd9ThuhdTKkaMhgB+Rye5HqKmt4vIt44t7ybFC73OWbA6n3qSgAooqrZ2RtJbl/tE03nyGTEjZEf+yvoKADU7Rr7T5reO5mtmcYEsJw6/SmaMMaLZDJOIVGT34q2/3G+lVNH/5A9p/1yX+VS/iRov4b9V+pdoooqjMa/wDq2+hrI8NaebLTlkN3cTi4CyBZXyI+Pur6CteT/Vt9DVXSP+QPZ/8AXFf5VP2kaL+G/VfqXKKjni8+CSLeyb1K7kOCM9xTLK2+x2cNv5skvlKF8yU5ZsdyfWqMyO7sftVzazfaJ4vs7l9kbYWTjGGHcVboooAKZInmROm5l3AjKnBH0qCOx8vUprzz52MqKnlM3yLjuB2Jq1QBXsLT7DYxW3nSzeWu3zJW3M3uTWT4t/48LH/sJWn/AKOWt6s3XdDt/EOmmyu3lSIyJJmJtpypyOfqKAILjX/Ome10aA31ypwzA4iiP+0/9BVJPBwvNZGq65ePeTeV5QtwNsCDOeF6nn1robe3htIFht4kiiQYVEGAPwqWgBqqqKFRQqjoAMAU6iqun2I0+BohPPPukZ90zbiMnOPoKADUbH+0LXyfPmg+dW3wttbg5xn0NWRwKWigAoqq9iH1OO98+cFIzH5Qb92cnqR61aoAq2FmbGBo2uZ7gs7PvmbcRk9M+gq1RVbULP8AtCxltjNNB5gx5kLbXXnPBoAs1VazLalHd/aJwEjKeSG/dtnuR61YRdiKuScDGT1NOoAKKKq2diLOW5fz55fPk8zEjZCcYwvoKAH3tsbyzltxPLAZFx5kLbXX3BqSNPLiRNzNtAG5jkn3NPooAKKqz2Inv7a68+dPIDDy0bCPn+8O+KtUAVbOzNoZ83E8/myGQea27Zn+FfQe1WqKgvLb7ZZy2/myReYpXfGcMvuD60AT1UnsfO1C2uvtE6eQGHlK+EfP94d8VPBF5EEcW9n2KF3Ock4HU+9SUAFFFVbOxFnJct588vnymTEjZCZ7L6CgBNTsv7QsXg8+aDdg74W2sMHPX8Kbo/8AyB7P/riv8qtv9xvpVTR/+QPaf9cl/lUv4kaL+G/VfqXaKKKozGv/AKtvoayPDOmrY6csq3FxL9pCyFZZCwTjoo7CteT/AFbfQ1V0j/kD2f8A1xX+VS/iRov4b9V+pcopk0QnheJiwDqVJU4Iz6Go7K0SxsobaN5HSJQoaRtzH6nvVGYy8sFvZLZ2mmj8iUSARvtD47N6j2q1RRQAUjDcpGSMjtVaPT449SmvhJMZJUVChfKADuF7GrVAFXTrJdOso7ZZZpgmfnmfcx57mrVFVdRsI9Ss2t5ZJY1Yg7on2twc9aALVVGsFfVI73zpgyRmPyw/yHJzkr6+9WgMDFLQAUUVV0+wj06F4opJpA8jSEyvuIJOcA+ntQAajZLqNk9s0s0IfHzwvtYYOeDVlRtUDJOBjmlooAKKqvp8cmpxXxkmEkcZjCB/kIPcr3NWqAKthYLYLMqzTS+bK0pMr7tuew9B7Vaoqtf2SajYy2sryokgwWifaw57HtQBZqrNYLNqNvdmaZWhVlEavhGz6jv0qwiCONUBJCgDJPNOoAKKKq2mnx2c1zLHJM5uJPMYSPuCnGMKOw9qAJLy2F5Zy27SSRiRSpeNtrDPcHsadbwi3tooQzuI1C7nOWOBjJPrUlFABRVW40+O4vra6aSZXt921VfCtn+8O9WqAKtnYLZzXMizTSG4k8wiR9wTjGF9BVqioby2W9tJbeRnRZVKlo22sM+h7GgCaqklgJNThvfOmBiRk8oP8jZ7kdzU9vCLe3jhVmZY1Cgsck4GOT61JQAUUVVs9Pjspbl45JnNxIZWEj7gp9F9B7UAJqdkuo6dNbNLNCsi4LwvtYfQ03Rht0WyHJxCo5+lW3+430qpo/8AyB7T/rkv8ql/EjRfw36r9S7RRRVGY1/9W30NZHhnTItP04SxyzubkLIwkkLBTjooPQe1a8n+rb6Gqmj/APIHs/8Ariv8qn7SNF/Dfqv1LtFRzwrcQSRMWCupUlTg8+hpllaJY2cNtEzskShVMjbmIHqe9UZjLvT4ry4tZpHlVrZy6BHKgnGPmHcVapKWgApsiCWJkYkBgQSDg1Xj0+KLUpr5XlMsyKjKXJQAdMDsatUAV7Czj0+yitYmkZIl2gyMWY/UnrVikqtqOnx6naG3meVELBsxOVbg56igC1VUafENUN/vl80xeVt3nZjOc7emferI4FFAC0UVV0/T4tNgaKF5XVpGkJlcsck5PJ7UAGoWEepWvkTPKi7lfMTlTkHPUVZHAopaACiqr6fE+px3xeXzY4zGFDnYQfVfX3q1QBV0/T4tNgaGF5XVpGkJkcsck5PJ7VapKr6hYx6lYy2szSJHIMFo3KsOc8HtQBZqq+nxPqcd8Xl82OMxhQ52EE55Xpn3qwihEVRnCjAzS0ALRRVSz0+KxluZI3lY3EnmMHcsAcY49B7UAPv7OPULKW1laRUlXaTGxVh9COlSxRiKJI1JIRQoJOTxT6KACiqk+nxXF/bXbvKJLcMFVXIU565HerdAFWy0+KwM5ieVvPlMreY5bBPYZ6D2q1SVDeWqX1nLbSM6pKpUlG2sAfQ9qAJ6qzafFPqFveM8oktwwVVchTnrkd6mghW3t44VLFY1CgsckgDHJp9AC0UVVs9PisZLl43lY3Eplbe5YAnsPQe1ACanYR6lYvbTPKiNgkxOVbg56j6U3R/+QPZ/9cV/lVt/uN9KqaP/AMge0/65L/KpfxI0X8N+q/Uu0UUVRmNf/Vt9DWR4a0uDT9OWWFpS10qyPvkLAHHYHoPYVryf6tvoaqaOQdHtOekK/wAqn7SNF/Dfqv1LtFMmiWeF4pM7HUqcHHBqOys4tPsobWAMIolCruYk4HuaozGXmnw30ls8xkBt5RKmxyvI9cdR7VapCQMZPWloAKRhuUg9CMVWj06CLUpr9Q/nzIsbEscYHTjpVqgCtp9hFpllHa25kMaZx5jlj1z1NWaQEEZHIqtqOnwapZtbXIcxMQTtYqcg5HIoAtVVbT4X1NL8mTzkjMYAc7cE5+70z71ZAwMUZGcZ59KAFooqrp+nQaZC8VsHCPI0h3MW5Y5PWgBdQsItTsntbgyCN8Z8typ4Oeo+lWFG1QB0AxQSB1OKWgAoqq+nQSanFfsH8+KMxqQxxg9eOlWqAKtjp8OnLMsBkIllaVt7lvmPXGeg9qtUgIPQ5qvf2MOpWMtpchjFKMNtYqeueooAs1Vl0+GbUIL1zJ5sCsqAOQuD1yOh6VYRBHGqL0UADNLkZxnn0oAWiiqtpp0FjNcywh91zJ5km5iecY49KAJLu1jvbSW2mLCOVSrbGKnB9COlOt4FtreOCPdsjUIu45OAMcmnkgDJOBS0AFFVbjToLm+truQP5ttu8vDEDng5HerVAFW00+GymuZYjIWuZPMfc5YZxjgHoKtUgIPQ5qK8tY760ltp9xilUo204OD70ATVVk0+GTUob5jJ50SNGoDkLg9cr0Jqa3gS2t44I87I1CLk5OAMdafkZxnk0ALRRVWz06CxluZIA4a5kMsm5ifm9s9KADU7CLU9PmtbgyCKRcMY3Kt+BFM0YBdFsgOghUfpVtyAjZOOKqaP/wAge0/65L/KpfxI0X8N+q/Uu0UUVRmNf/Vt9DWT4a0q20/Tllt1cPdKssm5y2Wx2z0/CtaT/Vt9DVTR2B0i0AIJES5wfap+0jRfw36r9S7SUyeFLiCSGQEpIpVgDjg0yztIrCzitbcERRKEQE5OB71RmMutOt7y4tp5lYyWrl4iGIwSMcgdfxq1SFgMZIGemaWgCjqOr2mlhRcSEyv/AKuGMbpHPso/n0rOktdS1yJ/tzNp9kwP+jxN+9kH+24+79F/Oo9It4pPGuv3LoDNF5EKMeqr5YbA/Emuhk/1bfQ0AYvgoY8F6RySTaoSSckkitskAZJwK5Dw1riW/hTSLOzhe9vvscZMMfRPlHLt0UfWk8S6ZdP4cvtR1m486W2iaaK1hYpCjLyM92+poA7Gqo063Gpm/wBrfaTH5W7ccbc56dKsIcop9RS7huxkZ9KAFpM5paq6fp1vpkDQ2qsqNI0hDMW5JyetABf6fb6nbeRdKzR7lfCsV5ByORVkcCgsFGWIA9TS0AJntS1VfTrd9Tjv2VvtEcZjU7jjaeTx0q1QBVsNOt9MgaG1VlRnaQhmLck5PWrJIAyTge9AYNnBBx6UEZ4NAC1VfT7d9Sjv2VvtEcZjVtxxtJyeOlWqKACkBBzgg460tJgDtQBBfWUOo2UtrcqWhlXawDFSR9RzUsUawxJGgwqKFHOeBT6KAEyAQMjJ6ClpMDOcc0tAFWy0+3sDObdWXz5TK+WJyx69elWaWoLy0iv7OW1uATFKpVgDg4PvQBPVWbTree/t7yRWM9uGEZDEAZ68dDU0EKW8EcMYISNQqgnPAGBT9wzjIye1AC0maWqtnp1vYPcPbqwa5lMsmWJyx9PSgA1Kwg1Oxe2ulZomwSFYqcg5HI9xTNH/AOQPZ/8AXFf5VbkIWNixAGOpqpo//IHs/wDrkv8AKpfxI0X8N+q/Uu0UUVRmNf8A1bfQ1k+G9LtNP01JbWMo90qySksTubHXnp+Fa0n+rb6GqejOraRahWUlYlBwc44qftI0X8N+q/Uuk4GTwKFYMoZSCD0IpssSTwvFIu5HUqw9Qajs7SGws4rW2TZDEoVFB6CqMxt3p9tfPbvcR72t5BLGdxG1h3461ZqG6u4LKFprqZIo1GSznFZH2/Uta40uM2dof+XudfmYf7CH+ZoAp2mp2mmeJPEcl5OsYMsG1erMfJXgKOSfpVw/2proIw+mWLdc4NxIP5IPzP0qbTvDOm6bePepCZb6QASXMx3yPj1JrWzjk0AVNK0mz0WwjstPhEUEf3VyT+p5rP8AGpA8Faxk4/0ST+VWL3X7a2lFvbK17dsMrBB8x+rHoo9zVC58O3HiK3dPEUx8iQcWdsxVF/3m6sf0oA6GP/Vr9BUDafbPqSX7R5uUjMSvuPCk5Ix0qwBgADoKTeu/ZuG/GduecUAOpqurjKsCM44NOqtY6fbabC8VpEI0eRpGAJOWPJNABf2Fvqdm9rdpvhfG5ckZwcjkfSrCgKoA6AYFI7rGMuwUepOKdQA3coYLuG48gZ5p1Vn0+2k1GO+aIG5iQxo+Twp6irNAFWy0+205ZVtY9glkMr/MTlj1PNWqajrIMowYZxkHNOoAKzNb1saHbrO9jeXUZOGNuqnZkgDO5h1J7Vp1R1mwfU9MktY3VGZkO5hxwwb+lA0Ims2ixQNeyJYSz/cgupESQ+2MnP4VKNTsTe/YxeWxuv8Anh5q7/8AvnOax9c0C81C8L2zWflyxCKVrhCzxgHrHjv9aqWegXz67JNJHax2kV6ZlkKH7Q+IwvXptNC1ZPQ2Z/EFpbx3jOspa0lWJ4wo3MzYxgZ5zmpv7YskhhkuriG1MxKok8qKWIOOOcH8KpXWgyT+JIr9ZkFrtBlhK8vIv3Gz7A4rG1LwVdXS2QjuI2ESPHKjSPGrKz7uNvftQvMbOt+222AftEOCu/O8fd9fpUwIYAqQQeQRXIP4ImN60sd2ixCUqi4ORAx3On13dPauvACgADAHQUdAFpCwUEsQAOpNLUN1axXtrLbXCb4ZVKup7g0ASgggEHIPeq0mnW0moxXzoTcxIY0fceFPXjpU0EMdtBHDCu2ONQir6AcCnF1DBSwDN0BPJoAdTQytkKwODg4PSnVWtNPtrGS4ktogjXMhllIJ+ZvWgBNRsbfUrCW1u08yCQYZckZ/EUzRgF0WzA6CFQPyq1K6pEzOwUY6k4FVdH/5A9p/1yX+VS/iRov4b9V+pdoooqjMa/8Aq2+hrK8OaXZ6fpqS2sIje5VZJiCTvbHWtWT/AFbfQ1U0dgdItACCREucHpxU/aRov4b9V+pcJABJOAO5oVg6hlIKnoQetNmiS4heKVQ0bqVYHuDTLS1hsbSK2tkEcMShUUdgKozMXXFjl8T+HoZYkkRpJn+YZwVjyCK6Cue1x0j8WeHWkZVUNc5LHA/1VSvrk+oO0OgwCfBw11LkQp9D1Y+woA0L/VbLTI913cIhPCoOXY+gUck/Ss1k1PX0KyB9NsHGCvBnlH8kH5n6VPpvh2CyvZdQuXa71GYASXEg6AdAq9FH0rXoAo6To1hodmtrptslvCOy9T7knk/jVx3WNdzsFHqTilVgwypBHqKr31hbanbG3vIhLEWDFT6g5H60AWarDT7Yaib7yV+1GPyjJznbnOKsdKNw3bcjd1xnmgBaarq4yjBhnGQc06q1jp9tpsLRWcQijZ2kIHdick0ALfWFtqVv5F5EJYtwbafUHIP51P0oZgoyxAHqaWgBu9Q4TcNxGQM84p1Vm0+2fUY75ogbqNDGsncKeoqzQBWsrC206ForOFYo2cyFRnljyTVmkDBs7SDjjg1De2UGoWkltdRiSGQYZScZ70AT0U1VCIqqMKowBSlgGCkjJ6DNAC0UVWtbC3spJ3t4wjXD+ZIQT8zdM0AWaKQkKCSQAO5oBBAIOQaAFoqtNYW095BdSxhp4ARG+T8uetWaACkJAGScD1NAYMSAQSOuD0qvf2EGp2UlpdpvhkGGXJGfyoAs1Wl0+2nvYLuWFWuIARE5zlc9anVQiKqjAUYFLuG4LkZPagBaQEHOCDilqrZadbaf532ZNnnSGV+ScsepoAXULG21Gze3vIhLC2CUPQkHI/UVHo//ACB7P/riv8qtyMFjYsQBjqTVTR/+QPZ/9cl/lUv4kaL+G/VfqXaKKKozGv8A6tvoayfDel2mn6aktrGUe6VZJSWJ3Njrz0/CtaT/AFbfQ1T0Z0fSLUKysViUEA5xxU/aRov4b9V+pdJwMnpQrBgCpBB6EU2WJJ4XikXcjqVYeoNR2dpDYWkVrbII4YlCoo7CqMytqmhadrTW51G1Wf7M/mRbicKcYP149avJGkSKkaqiKMKqjAA+lDOiFQzKCxwAT1p1ADdyliu4bh1GeaUgMCD0PBqvHp9tFqMt8kQFzKgjd89VHQVYJAGTwBQBXsLC30yzS1tE2QpnauScd+pqwzKgyxAHqTSI6yKGRgynoQcg1Bf6fbanatbXkQkhYglSe4ORQBZqs2n2z6kl+0eblIzGr7jwpOSMdKsAYGKTem/ZuXfjO3POKAHU1WVxlWBGccGnVWsdPttNheK0iEaPI0jAHqx5JoAL+wt9Ts3tbtN8L43LkjODkcj6VYUBVAHQDApHdY13OyqOmScU6gBNyhguRuPIGeaWqz6fbSajHfNEDcxIY0fPRT1FWaAK1lp9tpyyrax7BLIZX+YnLHqeasMwRSzEADqSaRHSQZRlYZxkHNQ31lBqVnJa3cYkglGHU9x1oAn61Xl0+2mv4L2SPNxArLG248A9eOnap0RY0VFGFUYA9qN6Bwm5d5GQuecUAOpAysSFIJBwcHpS1WtdPtrKa4lt4gj3L+ZKQfvNjGaAH3VrFe2sttcLuilUq65IyD7inQQJbW8cMS7Y41CKM5wBwKczqilnYKo6knAFKCCAQcg96AAsoYKSAT0GetLVafTra5vbe7liDT227ynz93PWrNAFa10+2spriW3j2vcv5kp3E7mxjPPSrBIUEsQAOpNIrq+djK2Dg4OcGo7q1hvbWW2uEDwyqVdT3BoAlBBAIOQe9VpNPtpNRivnQm5iQxo248KevHSpoIY7aCOGFdscahFX0A4FOLqHCFhuPIGeTQA6mhlbO1gcHBwelOqtaafbWMlxJbRBGuZDLKQfvN60AJqNjb6lYTWt2nmQyLhlyRn8RTNGAXRbMDoIVA/KrUrrHEzOyquOrHAqro//ACB7T/rkv8ql/EjRfw36r9S7RRRVGY1/9W30NZXhzS7PT9NSW1gEb3KrJMQSd7Y681qyf6tvoap6LIj6RahHVisShgDnBx3qX8SNF/Dfqv1LpIAJJwB3NCsHUMpBU9CD1ps0SXELxSqGjdSrA9waZaWsNjaRW1sgjhiUKijsBVGYy5sLa7nt5riFXktnLxMc/I2MZqzTWkRCodlUscDJxk06gBodS5UMNw5IzyKJEWWNkcZVgQR6ioI9PtotQmvkiAuZlCPJ3YDoKsUAQ2dnBp9pHa2sYigiG1EHQCpXkSMAyOqgnGWOKxpdekvJnttDgF3Ip2vOxxBGfc/xH2H51jeK/DyN4S1S81Sd729jtmdHb5ViYDI2KOB9ep70AdpVYafbDUDfeSv2ox+UZOc7c5xU8f8Aq1+goMiCQIWXeRkLnkj6UAOpqurjKMGGcZBzTqrWOn22mwtFZxCKNnaQgd2JyTQAt9YW2pW/kXkQli3Btpz1ByD+dT9KR3WNS0jKqjqWOBS0AJvUOE3DcRkDPNOqs2n2z6hHfNEDcxoY1k7hT1FWaAK1lp9tpsLRWcKxRs5kKjPLHkmp2dUUs7BVHUk4FCSJJnYytg4ODnBqG+srfUbOS1u4xLBIMMh6HnNAE/Wq7WFs+oJfNEpuo0Mayc5CnqKnRQiKqjCqMAU6gApqurEhWBKnBwehp1VrXT7aykuJLaIRvcSeZKR/E2MZoAdeWcGoWklrdRiWCUbXQ9CKljjWKNY4xhEAVR6AU6igBpdQwUsAzdATyadVabT7a4vYLuWINPbhhE56rnrVmgCtaWFtYmY2sSx+fIZZMZ+Zj1NWGYKpZiAB1Jpahu7WG+tZba5QSQyqVdT3BoAlBBAIOQehFV30+2k1CK+eIG5iQokmTkKeoqaGFLeFIYlCxxqFVR2A4FKZEDhCyhyMhc8mgB1NV1fO1gdpwcHoadVa00+2sXne2iEbXEhllI/iY96ADULG21Gze3vIhLC2CUPQkHI/UVHo/wDyB7P/AK4r/KrUzrHEzOyqoHJY4Aqro/8AyB7P/rkv8ql/EjRfw36r9S7RRRVGY1/9W30NZXhzTLOw01JbWBYnuVWSYgn52x1rVk/1bfQ1S0SaOXSbZY5EcpEoYKwO046Gp+0jRfw36r9S8SFBLEADqTSI6yIHjYMrDIIOQaSWJJonjkUMjgqynoQaZa2sNjax21tGsUMS7UReiiqMxl1YW168D3MKyNbyCWIn+Fh3qzTHmjjZFkkRWc4UMwBY+3rT6AGCVDIYw6l1GSueQPpRIMxOD0KmoksLaO+kvUhQXMqBHkA5ZR0FSyECJyTgBTyaAMTwNDHB4I0hYlCqbZGIHqRkn8zS+N3WPwTrBdgo+yuMk47Vl+GNbKeFNIstOtnvLwWke5Qdscfyjln6D6DJrTbw0uqDf4ikW/Y8i3xtgT6L3+pyaAF/tubUAIdBhW4wMNdyHECfQ9WPsPxIrOsdMa1+Iccl1cyXdy2mOxkfgA+YB8qjgDB966xEWJFSNQqKMBQMACsFmH/CxIxkZ/spuM/9NVoA6CmRypKCY3VwDglTnmn1Xs7C20+Jo7SFIkdzIyqOrHqaAC9sbfUbV7a8iWWF8bkbocHIqcAKAAMAcCmyzRwJvlkSNc4yxwM0+gBhlQSCMuocjIXPJH0p9V3sLZ76O9aFDcxoUSQjkKeoqxQBWs7C209ZVtIViEshlcD+Jj1NWaZFNHOpaKRJFBIJVgRn0p9ABRRWR4h1qXRLeGWKzFx5kmwlpfLRPctg4/KgDXornrvxbHapOn2WWW4jUFY4MSbvk3Fu3yj1ptt40sCNOhu3VLm6hjkfYRsjLgbQcnPJ4GAadgudHRWVe64thd3MM0DARQCZH3cSc4x7HOPzqjN42sLJvLv1MEwkKOgdTsAAy5yRwCccZPtSWoHR0VjHxVpgIBlcMYWm27edqttP454xWujb0VgCAwBwetADqa7rGhZ2CqBkknAFOqK5tory2kt7iNZIZFKujdGB7UASKwZQykFSMgjvVd7C2kv4r14VNzEhRJOchT1FTQwx28KQwqEjjUKqjoAOgoaaNJFjaRBI+dqlhlsegoAfTElSQsEdWKnDAHOD6Gn1XtrC2s5J3t4Uja4fzJSo++3qaAE1Cxt9RsZbW8iWWCQYZG6Go9GAXRbMAYAhUD8qszyxwws8siRoBjcxwPzqto//ACB7P/rkv8ql/EjRfw36r9S7RRRVGY2T/Vt9DWX4d020sdMjltbdInuEWSVl/jbHU1qSf6tvoaoaHcQz6TbrDNHI0caq4RgSpx0Poan7SNF/Dfqv1NBmCqWYgKBkk9qSORJUV42DIwyGU5BFJLEk8TxSqGRwVZT0INNtraGzto7e2jWOGJQqIo4UelUZjLixtrqaCWeFJJLdt8TMOUPTIqxUck8UJQSyohkbagZgNx9B6mpKAM3UdctNPlFuWaa8cZS2hG6RvfHYe54qmdLv9bBOsyfZ7Rv+XGBvvD0kcdfoOPeo9Fgj/wCEy8Rz7F87fbx78c7fKBx9Mk10JOBk9KAIbOyt9PtY7azhSGCMYVEGABS3V3BZW7T3U0cMKfeeRgoH4msy48QLLKbbR4ft9xjko2Ik92fp+Ayaj/4RpdRIl8QSC/kzlYcbYI/onf6nJoAP7UvtY+XRoxDbHrfTrwR/sJ1b6nAqxpvh6z027e9Aee/kTy5LqVsu65zj0A9hWoBgYHSmGeITiEyoJmXcI9w3EeuPSgCSmRTRzKWidXUEglTnn0p9V7OxttPiaK0hSGNnLlUGAWPJNAC3llb6hB5N3Ck0W4NtYZGQcg/nU3SmTTRW8RknkSOMdWdgAPxNPByMjpQA0zRiURF1EhG4Jnkj1xT6rtY2z3yXjQoblEMay4+YKeoqxQBXs7G20+JorSFIY2cuVUYBY8k1OWCjLEAeppkU8U4YwypIFYq2xgcEdQfemXdnBf2r213EssMgwyMMg96AJ6o6rpY1W3EJvLu2UHk2zhSw9DkHirqqEUKowoGAB2pjTxJMkLSoJXBKoWG5gOuBRuBiTeDrB41SCa8tSqhd1vLtJULt25weMUq+EtOF9bXMLyo9qiRhVKkME+7uyCfyIreqvbWNtaSTvbwpG07+ZKVH326ZNO4W0sV9R0W01W4tJroOXtJPMj2tgE+hHce1Ub3whp97di5Zp45vMMhZCp3ZxkHcDxwK25JEhjaSV1RFGWZjgAe5pUdZEV0YMrDIYHIIpbAY0vhXTJLszOJPMecT434GR/CB/dJ5I9a26ry2NtPdw3UsKNPBkRyEcrnrirFABTXkWJGeRgqKMlmOAKbHPFMzrFKjtGdrhWBKn0PpSXNtDeW0lvcRrJDIpV0YcMPSgCRWDqGUgqRkEd6glsbaa7hupIUaeAERyEcrnripYokgiSKJQsaKFVR0AHQUhniWZYWlQSsCyoWG4j1AoAkpiSxylhG6sUO1gpzg+hp9V7axtrNpmtoUjadzJIVGN7HufegAvrK3v7R4LuFJoTglHGQSDkfqKi0f/kD2f/XFf5VYuZore3eSeRI41HLuwAH4mq+jnOjWZHTyV/lUv4kaL+G/VfqXaKKKozGyf6tvoazPD2n2tnpkUltbxxPOivKyjBdsdTWnJ/q2+hrP0G7t7nSoEgnjkaKNVkCMCUOOh9DU/aRov4b9V+poO6xozuQqqMknoBTYZo7iFJYXWSNxlWU5BHsac6LKjJIoZGGCpHBFNggitYEht41jiQbVRBgKPQCqMxlxZ2920LXEKSNC4kjLDO1vUe9T1DLdQQSRRzTIjzNtjVmALn0HrU1AHIW+tW+m+LfEEBDzXckkBjtohukceSvOOw9zxWl/Zd/rPzazJ5FqellA/Uf9NHHX6DitZLK2jvJLtIIluZVCyShQGYDoCe+KmZgilmICgZJPYUAQ2dlbafapbWcKQwp91EGAKdcXMNrEZbiVIowQCznA5pbe4iuoEmt5ElicZV0OQR7Gm3NrBeQmG6hSaIkEo65HHI4oAmqBrO3a9W7aFDcohRZMfMFPUZqaovtUBujbedH9oC7/AC9w3bemcelAE1RQXMN0he3lSRVYqShyAR1FS1DbWkFmjJbQxxIzFyEXALHqfrQAXdpBfW7QXUSSwtjcjjIOOalAAAAGAKjuLqC0i825mSKPIXc7ADJ4AqSgCNrmFbhbdpUEzqWWMn5iB1OKlqFrSB7pLloYzOilVkK/MAeoBqagCC2s7eyEgtoUiEjmRwoxuY9SfenzzxWsLTTyLHEnLO5wB+NNt7qC7jMltNHKgYqWRgQCOopbi2hu4HguYklicYZHGQfqKAJFYMoZSCCMgioZLO3lu4rqSFGniBWOQjlQeuKmVQihVACgYAHaozdQLdLbNMgnZS6xlhuKjqcelAEtRRXMM7yJDKjtE21wpyVPoalqGG0gt3leGGONpm3yFVALn1PrQA6eCK6geCeNZIpBtZGGQR6UsUSQRJFEoSNFCqo6ADoKSe4itYHmuJEiiQZZ3OAB7mnKyuishDKwyCOhFADHuYYpo4ZJUWWXOxCeWx1wKlqGS0gmuIp5IY3mhz5bsuSmeuD2qagCCCzt7WSaSCFI3nbfIVGC7dMmpJZY4ImlmdUjQZZmOABTYLqC58zyJkk8tij7GB2sOoPvSzQx3MLwzxrJE42sjDII9CKAHI6yxq8bBkYZVgeCKieyt3vI7toUNxGpRJCPmUHqAaljjSGNY41CIgCqqjAAHQVG91BFcRwSTRrNLkohYBmx1wO9AE1RRXMM7SLDKjtE2xwpztPofepahgtYLZpWghjjaZt8hVcb29T6mgBL20gvrSS3uoUmhcfMjjINQ6MANGswBgCFQB+FT3dzDaWzy3MqRRjgu7YAzwOag0f/AJA9n/1xX+VS/iRov4b9V+pdoooqjMbJ/q2+hrO0CytrXS4Xt4I4nmRXkKLgu2Op960ZP9W30NZvh++tbvS4Y7a4jleBFSVUYEo2Oh9DU/aRov4b9V+ppO6xRs8jBUUZJPQCmwzR3MKTQOskbjcrqcgj1FOdFlRkkUMjDBUjIIpsMMdvCkMEaxxINqoowAPQCqMxJbWCeSKSaJHeFt0bMMlD6j0qWoZ7y3tWiW4mSNpn2Rhmxvb0HvU1AES3UD3L26yoZ4wGaMH5lB6EipGUOpVgCpGCD3qNbWBLl7hYYxPIArSBRuYDoCakJABJOAKAGQW8VrAkNvGscSDCoowAPpSXN1DZwmW5lSKMEDc5wMngUlrdwXtus9rMk0LfddDkH8aW4toLuIxXMSSxkg7XUEZHTigCWovssAujc+UnnldnmY+bb6Z9KlqE3lut4to0yC4ZC6xbvmKjvj0oAmqK3uoLuMvbypKgYqWQ5AI6ipait7WC0jKW8McSFixVFABJ6mgAuLaG7i8u4iSWPIba4yMjkGpahuruCyt2nupkhhXG53OAM8dalBBAIOQaAIzdQLdLbNKgnZS6x5+YgdTipaiNrA1yty0MZnVSqyFRuAPUZ9KloAit7WC0jKW8SRIWLFUGASepouLiG0gaa4kSKJPvO5wB+NJbXlveBzbTJKI3MblGztYdQfeluLeG7gaG4iSWJ/vI65B/CgCRSGUFTkEZBFRm1ga6W5MSGdVKLJj5gD1GakACqAoAA4AFRPeW8V1FbSTIs8oLJGW+ZgOuBQBNUMN1BcNKsMqSNE2yQKc7T6GpqihtYLdpGhhjjaVt8hVQCx9T6mgBZ4IrqB4biNZInGGRhkEfSnKqogVQAqjAA7CmzzxW0DzTyLHFGNzOxwFHqaWKVJ4kliYPG4DKynIIPQ0AMkuoIriOCSVFllzsQnlsdcCpqie1glnjnkhjaWLOxyoLLnrg9qloAigtYLbzPIiSPzGLvtGNzHqT70s00dvC80zrHGgyzMcAD3psF5b3MkyQTJI8LbJArZKN1wafNDHcQvFNGskbjDIwyCPQigBY5FljV42DIwBVh0Ipj2sElxHO8SNNFkI5HK564NPRFijVI1CooAVQMAD0qOa8t7eeGGaZElnJESM2C5HJx60ATVDb3lvdmUW8ySGJzG+052sOoPvU1RxW8MG/yYkj3tubaoG4+p9TQA27tobu2eK4iSWM8lXGQccioNH/AOQPZ/8AXJf5VNeXUFlaST3UqQwoPmdzgD8ah0Yg6NZkHIMKkH8Kl/EjRfw36r9S7RRRVGY2T/Vt9DWfoVrBb6VA8MMcbSxqzlVwWOOp9a0H/wBW30NZnh7UbS90yKO1uI5Xt0WOVVOSjY6Gp+0jRfw36r9TTkkSGNpJGCogLMx6AUy2uYby2juLaRZYZF3I6nIYetSModSrAFSMEEcGmxxpDGscSKiKMKqjAA+lUZiS28M7RmWJHMbbkLDO0+oqSq9xfW1rNBDPMkclw2yJWPLnGcCrFAECXtvJeyWiTIbiNQ7xg/MoPQmpiMjB6U0QxLM0ojQSsMM4UbiPQmld1jRnchVUZJPYUANggitoligjSONeioMAfhTLu9t7C3M93MkMQIBdzgAk4FLaXcF9ax3NrKssMg3I6nIYU+WGOeMpNGkiH+F1BH5UAOzmmG3hNwJzEhmVdofHzAemakquL62N+bLzk+1BPMMWfm25xmgCxUFpe299G0lrMkqK5RmQ5AYdRU9MihigUrDGkakliEUAEnqaAEngiuYjFPGkkbdVcZB/CngYGB0FQXl9bafB515MkMW4Luc4GScAfnU/WgCFr23S9S0aZBcyKXWMn5io6mp6YYYjMspjQyqNocqNwHpmn0ARw28NuGEMSRh2LNtGMk9Sfem3V3BY2z3F1KsUMYyzucAU2zvrbUIWltJkmjVyhZDkBhwRUssUc8bRzIsiN1VhkH8KAFVg6BlIKsMgjuKa1vC86TNEhlQEK5HKg9cGngAAADAHQCoGvrZL5LJpkFy6GRYs/MVHU0AWKgt723upJo7eZJHgfZKFPKN1wanpkcMUTO0caIznc5VQNx9T60AEsSTRNHKiujDDKwyCKVEWNFSNQqKMBQMACo7u7gsbWS5upVihjG53Y4CipI3WWNXRgyMAykdwaAIpb23guYbeWZEmnz5aE8vjrip6jaGJ5EkeNGdM7WKglc9cHtUlAEcVvFC0jRRIjSNucqMFj6mi4uIrS3knuJFjijUs7scBR61Ha31temUW0yS+TIY5NpztYdQfeppI0ljZJFV0YYKsMgj6UAJFKk8KSxMHjdQysOhB6Gkkt4ZZI5JIkZ4iSjEZKn29KcqqihUUKqjAAGABUT3ttHex2bzILmRS6RE/MyjqQKAJ6gt723u3mS3mSRoH8uUKc7G9DU9MjhiiLmONELncxVQNx9T60ANuYIrm3eKeNJI2HKOMg/hVfRxjRrMDoIV/lUl/e2+n2j3F3MkMK4BdzgAk4H6mo9H/AOQPZ/8AXFf5VL+JGi/hv1X6l2iiiqMxsn+rb6GqOh28UOk27RRIjSRqzlVA3HHU1ef/AFbfQ1l+HNTtL/TY4rW4SV7ZVjlVT9xsdDU/aRov4b9V+ppyypBE8srBUQFmY9ABTba5hvLaO4tpFkhkUMjr0YetSModSrAFSMEEcGkSNIkVI1VEUYCqMACqMxHijkZGdFZkOVJGSp9qfVe6v7ayeBLmZY2uJBFED/Ex7CrFAFdL62kvZbNJkNzEod4weVB6E1OQCCCMg9QaaIo1laURoJGGC4HJH1pxIUEngDrQAkcaRRqkaKiKMBVGAKivL230+3M95MkMQIUux4yTgUllfW+o2qXNnKssL52uvQ9qllijmTZLGrr12sMigB1N8qPzfN2L5mNu/HOPTNPqu1/bJqCWLTKLp0Mix9yo4JoAsVXs762v4mltJkmRXKFlPAYcEVYpkcUcKlYo0RSSSFGBn1oAJIo5k2yorrkHDDIzT6r3t9b6davc3kqxQpjc7dBk4FTghgCDkHkUAQNfWyXyWbTILl0Mix55KjqasUwxRmUSmNDIBgPjkD0zT6AGRxRwqViRUUnOFGOaju7yCwtXubuVYoYxlnY8DtTbO/tr9ZWtZllEUhicr/Cw6ippIkmjKSoro3VWGQfwoAcrB1DKcqRkH1ppijMolKKZAMB8cgemacAAAAMAdqglv7aG9hs5JlW4mUtHGerAdaALFV7a+trySZLeZJGgfy5Qp+43XBqxTEijiLmONFLncxUY3H1NACyRpLGUkRXRuCrDINKAFAAAAHAAqO5uYrO2kuLhxHDEpZ3PQAd6WGaO4gjmhYPHIoZWHQg9DQBHLfW0F3DayzIs8+TGhPL464qxTGhjeRZGjQumdrEcr9DT6AGRxRxbvLRU3Hc20YyfU025uYbO2kuLiRY4Y1LO7dFHrTLa/tryW4jt5lke3fy5QP4GxnBqZ0SVGSRVdGGCrDINACRSpPEksTBo3UMrDoQehpDDG0yzGNTKowHI5A9M09VCKFUAKBgADgVA9/bR38Vk8yi5lQukZ6so6mgCxVe2vra8eZbeZJGgcxyBT9xh2NWKYkUcRYxxqhc7mKjG4+poASeKOaFklRXUj7rDIqto/wDyB7P/AK5L/KpNQvbfTrGW6vJVigjGWdugqPRiG0WzIOQYVIP4VL+JGi/hv1X6l2iiiqMxsn+rb6GqWixRx6RalEVS0Slioxk46mrr/wCrb6Gsrw3qlnqGmpFazCR7ZVjlAB+VsdKn7SNF/Dfqv1NSWVIInlkbaiAsx9AKZaXcN/aRXNrIJIZVDI47ipSAQQRkHtQqqihVAVR0AHAqjMRo0cqXRWKnIyM4NOqtc6hbWdxbQTybJLlykQwfmOM4qzQBWTULaTUJbFJQbmJA7x4OQp6GrNNCKHLhRuIwTjk0SSLFG0jnCqCSfQUACIkahY1VVHQKMCoL6/ttNtWubyURQqQCxB6k4FOsr2DUbOK6tX8yGVdyNjGRUrosi7XUMvoRmgBQcjNJ5aGQPsXeBgNjnH1p1VhqNsdSNh5g+1CPzSmD93OM0AWarWWoW2oxPLaSiVEdo2IB4YcEVZpqoqAhFCgnOAMUADokilZFVlPUMMilqvf6hbaZbefeSeXFuVN2CeScD9asA5GaAK76hbR6hHYtKBcyIZEjwclR1NWaaUUuHKjcBgHHNOoAakaR52Iq5OTgYyaivb2306zkuruQRQRDLuR0HSm2Go22pwNNZyCSNXaMnBHzA4IqdkV1KuoZT1BGRQAI6yIrqcqwyD6igxoXDlFLr0YjkUoGBgdKrtqFsmox2DSAXMkZkVMHlRwTQBZqta6hbXstxFbyh3tn8uUAH5WxnFWaaqKpYqoBY5JA60ADKrqVZQynggjINKqhVCqAAOAB2qG9vYNOs5bq6fy4IhudsZwKkjkWWJJEOUcBlPqDQBDNqFtb3lvazShZ7jd5SEH5sdas00orMGKgsvQkcinUANWNELFUVSxyxAxk+9R3V1DZWstxcOEhiUs7HsBTLPULa/M4tZN/kSGKTgjaw6irDKGUqwBB6g96AGQTR3MEc0Lbo5FDKw7g8inGNDIJCilwMBscgfWlACgAAADoBVebUbaC+gs5ZAtxcBjGmD82OtAFmq1rqFteyXCW0oka3kMUoAPyt6VZpqoqElVALHJwOpoASZFkiZZFVlI5DDINVdH/AOQPZ/8AXFf5U/Ub+302ye5vJPLhXALYJ5JwP1NM0f8A5A9n/wBcV/lUv4kaL+G/VfqXaKKKozGyf6tvoap6MirpFqVUAtEpOB14q4/+rb6Gsjw3q9lqGnLFazh3tVWKUYxtbHTmofxI0X8N+q/U1ppkt4XllbbGilmPoBTLS7hvrSK5tn3wyqGRsYyDTy6EEFlIPvQrRqoVSoA6AVdyLMcVBIJAJHTI6UtVLvVLSxe3S4mCtcSCKPvlj2qz5if3l/OgLMgj1C2l1CaxSUG5hRXdMHgHoc1YpoMYYsCm49TxmgyooJLrgc9aLhZjgAoAUAAdhVe/1C20y1NxeSeXEGCliCeScDp70lhqVrqdml1aSh4XztY8ZwcdDU7GNxhijD0ODQFh3WjaN27A3dM4pPMT+8v51WbVLRNSSwaYfaXjMqp6qDgnPSgLFuq1jqFtqULTWkokjV2jJwR8wOCOan8xP7y/nSKY0GFKKOuBii4WY5lDDDAEehpaq3+pWumWb3V3KEhTG5hz1OBwPrU4lRgCHXB560BZkLahbJqMdi0oFzIhkVMHlR1OelWaZmMsGym4DGeM0vmJ/eX86LhZiqoUYUAD2FQX19b6bZyXV3J5cEYyzYJxzjtTLLVLTUVla1mDiKQxP2ww6jmrDGN1KsUIPUHFAWYqMHRWU5VhkGl2jduwM+tJvQfxL+dVpdUtIb+CykmAuJ1Zo19QOvP40BZluq1pqFtfSXEdvKHa3k8uUYI2tjOKn8xP7y/nSKY1JKlAScnGOaLhZjiAwIYAg9jR0qC7vbeytZbm4kCxRKWc9cAU6C6hubeOeKQNHIodT6gjIoCzGTahbW97b2ksoWe4DGJMH5sdas0wmMsGJQsOh4yKXzE/vL+dFwsxQoXOABnk4FRXd1DY2ktzcvshiUs7YzgCorXVLS9muYoJgz20nlyjphsZ/GrDNGwIYqQeoJoCwQzJcQRzRNujkUMp9QeRTioJBIGR0OKaHQAAMoA7Zqvc6paWl1bW80wWW5YrEOu4gZP0oCzLdVrTULa+e4S2lDtbyGKUYI2sOoqfzE/vL+dIpjXO0oMnJxjmi4WYsgDRsGAIx0Iqpo//ACB7T/rkv8qXUtSt9NsZLm4ZjGuAfLXceTgcD60mj/8AIHs/+uK/yqPtItfw36r9S7RRRVmYnWqY0bTh0sbYfSMUUUnFPcpSlHZi/wBkaf8A8+Vv/wB+xR/ZGn/8+Vv/AN+xRRS5I9h+1n3Yn9j6f/z5W/8A37FL/ZGn/wDPlb/9+xRRRyR7B7Wfdh/ZGn/8+Vv/AN+xR/ZGn/8APlb/APfsUUUckewe1n3Yn9j6eOllbj/tmKX+yNP/AOfK3/79iiijkj2D2s+7D+yNP/58rf8A79ik/sfT/wDnyt8/9cxRRRyR7B7Wfdi/2Rp//Plb/wDfsUf2Rp//AD5W/wD37FFFHJHsHtZ92J/Y+nnrZW//AH7FL/ZGn/8APlb/APfsUUUckewe1n3Yf2Rp/wDz5W//AH7FH9kaf/z5W/8A37FFFHJHsHtZ92J/Y+nj/lyt/wDv2KX+yNP/AOfK3/79iiijkj2D2s+7D+yNP/58rf8A79ik/sfT/wDnyt/+/Yooo5I9g9rPuxf7I0//AJ8rf/v2KP7I0/8A58rf/v2KKKOSPYPaz7sP7H0//nyt/wDv2KP7I0//AJ8rf/v2KKKOSPYPaz7sP7I0/wD58rf/AL9ij+yNP/58rf8A79iiijkj2D2s+7E/sfT/APnyt/8Av2KX+yNP/wCfK3/79iiijkj2D2s+7D+yNP8A+fK3/wC/YpP7H0//AJ8rf/v2KKKOSPYPaz7sX+yNP/58rf8A79ij+yNP/wCfK3/79iiijkj2D2s+7D+yNP8A+fK3/wC/Yq1HGkUaxxqFRRhVUYAFFFNRS2QnOUt2Oooopkn/2Q==)
(C)
![](data:image/jpeg;base64,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)
Question 8.Find the areas of the shaded regions of the 3-D figures given in question number 3.
Answer:(i)
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAFgAAABfCAIAAADj8pfbAAAAAXNSR0IArs4c6QAADCFJREFUeF7tXAs01ekWZzzKc8itDD3kUceJxHCokEdviRJhaA01I0Qet5RUbh7lNo1yx7PopcfUhMojNCgxI92JEi2aNd11KQq5EXnE3fXvnnUcnPP/vv/fPWatc1ar5bH379t7//e3v733t/9Eh4aGRIQfEZHPhEYgLCA0xCdPEBpCaIjhQUHoEUKPEHrEqAelcGugbw1RUdH29vampkYqqccEQWhoaOjp6RmmCGSW5D96OkxtLY36+nryLFyUbq4us1WmNzb+myJCVVUVNsJ2H2+QobysjBMBbWuIi4t3v+3q7u7GdgopKWng7e4e/jRQ4AgEKh9pGRlgJ/5nf0SRag1wJ/hMmTIFW46JgADCwwZXVZ2Bbwhs/Sc+I9rWmPj6YEsoNAT68UnG2Onp5wz19X4pLydDPCpNcnISc55mSXExNkJOTjbIcK+iAgmBZo/Iz8trfdnS8rIFSQiCGOJoYmJCTHxid1fX9rD9pXfuYIAAy+m0NJCh5nENGjv2aTwqIyQIqakn4XxFhb2WlbXAzFxdd4HBkYTFVwt1g8PUmUwH16+amppQofBkQDs+0WxMjvr+/fuhh2N+f1Int95VRp8lKjmJ4Btoe9WVl9n9pGbH15u/9domJSVFDg+TSpCGeP78+f7o6KKin6Ut18iZWYnJyo9UoudJTcfZJDk5uX8cijYzN8fUkgSbYAwB4SA2Lu5kWpqkPkth9Xpxpak8RB3q6+0sv/3m4glDi2VxR/6uoqJCQi9kEjRDQCiub6h3cNiI7aiAcOXyj9eLbw/Kyiu6fSupMiy94yH++643nVmXYKdssLKYr6Pj7OKKLcOjR48qK+/Z26/nTJHRDKGmqiwhKZmYkrps+XJkm39kWGZl8Xvjc4m586d6+rLDAXmo1vSUd6WFQH8sPhE0Ic/ISen+lWtpSREXAtrx6eDkojWXoc3UxpMAuFgsE4mB3sltLa9iI3v/eEoeB2JnW9LRoYY6Q5PFwGVkZESel4vS2dVVcy6DCwHNI7DXZjNCI+D0qbSo6ENHj8EjSZy8xOrzFWtHDZOca3VVlHakxbHMLZPi49va2ggE6sJwIqB5BI1rBwcE3C0uZr5/1xIZ8rb6/ljIhCP05GYc/i728sWLVApf3sILzBAgFsT/n86cSomN7cvNaE38ru85d+8LHKE51EdXTuqXwgJnFxcaH8NIKEEagpAG4u79WwV2evNbj0W8KSmAwxJ+CI7QmvjBEeISksfVEdgWodkQIbt2wsmSlZWJ9PTgIIyJji68cUOuuuJFeBCYAxzBeLpi1d3SdXZ2SFBAHLY3FGTIzMhAYqTZEP39/dIysrIyskhCEMQaGhplhQUL1GZ1Fd7w8Q88k3YKL1MAGTBWF0EtaXjTQ7nFu7ULvw3ds5sHCCBAZ5UHARkEjPYyzR4Bz1BLSwvngfyPB88LOFfEk4FmQ1AxgWB5hYb4ZH80Q8QdPw4xmfuOCOVRXsvKLC+7SwUhLy8XECBDRVl2GO3lyz/u8NteXV097KdIwRLCGPwrLChA4iKIIQomJMRrmFkAAu9gxjtY2qxZjS0DIQlx28alBdqpUfHrrxlXr2JY4c7t26wVqzR0dLVs7E1YhrwReBvipytXnDY6YMjAZnn48CH0E6Fm4QRBMwTG8rCeo7Ozurb2fJ8gaEbqhUVtctxIxRB8j08MIYEFLUYgbUsIBMePxRpaWdcOiSsF7FNYbY/RgEBakQrxeBkCmvEmK1fFX70GbSgFlE4UFWWo8NJsCPCCsrIyO0cndxcn0aUrpwaGSTF0kOSjcqAQCwECxplCsyECdvi7eXjU9fR/cTRV1tgMYy/sDd0Dytwq/NCPw/jANbeDvd1yCzMBF13Kysoi4uL99Y9fZ12CdiuGJnPU1YFr6rRpGLzAApf9ru7uH79QRUKg2SPc3De72tvdysud9773RfAW6KwQ/QXyHz8/fyDW09Mjz8JF6ebm/qypmWVsjIRAsyGItTU0NK9duZycero3/1pzeDBc0iDJJBDicTEEocnKVat+u12y1dnpdXpKR3rKyE6cQBQea9FxNAQsCRXxntC9pTk3mKIDbcciOvKyBrlm2SaOMZDyMGcnRyODhVzJKScCj7SvuKhId6klpM/qs1R5IAAa7xR7i6eHptpMKnN5h6KjYAmuuTw0j6irffyfjo7c3ByMB2lhaVmRlzNjltr7gYHz59Px8oW0M2eL//mgv6/vG18/uEPGEANYmho/tMu7374dxo7kEfAkeT8KvoUAINTUPIJu3VLTJWNVsaN6BHAtWrFS09TcMC7N5GI2VC5ztBlBoaHtw2snMuqADCAn1xAHzTdd7Issvs8KKGO/P9rW2hoZfYiruwc9aDj/2Aiv29v3RUVlXzqv4OnPOUAB0bfrVs676sqtnp6B/v4Ue3xoW4OveuQJQPmExKSAwKBvPD0gmxxrsjklOZm1bHlxY8vIVBVu0qds9vpLcPipnJsLl5ieO3uW/OojKQVmCEKURYsX5xUUGrFYS1iGMEDFGThgkoZlYRUTnyDvulXR3Wus+1Ewx/RdB2Vdtx48kapnaQ0zB3jmoNkQLS3NlffuIQVCcGm44P/tUS0osHrF8rS0VPjC09t7o93ad4ZLlMOPkinbgGZ6SKSoqfXugxGmq9ccOLAfSQZYkeYYQYweBO4M2REQiPFkIHC4Ojm2i0kO9fdOCzrAe5JmVHy4K3z5/UGR9wPbPT2CgoLJyyAWHh5Onpov5aTJk169an369CkEeX19A9QApqSkpDpzxh81D9+IinU/uCeuOktckezc94cJo9KituMRDB29wTcdUHGoa2jwFZhNQLNHELjglvn5NwN8vSNjjuDNGRFDVidSUycZGCvaO5MZoIDBoukqqnFREYaGhhB9v/bwRLpqojlGEIZgb/u62lrY9hiDuIAQGhJSVlKiIzYEVSz7lnzkE4axm5cx+4bu/nx4397y/DywAnkv4KQcF4/gXACuD6IjIzS1tHx8fbneDCApMXT9/PaEdnZ2Kmzexhk4IRx05mb2NdR6bHLiyiMwPAKtiw3ZGO8yYazELjMzA1JJuNeARBADgbgT0dRbyLCxM0q+wM4st/j6jjqaC5kr76uTkfkxmiG+XLhgZLlCJqsFGtA/5vChueqz+V7wjAUICFu8vOYwGHOYTFMb28rKyrEoeRsiMGAH1aJrcHCQpD+PJIPxp10huxcsNIBf/S38AEZ/FRBOJiUx56gNdrT98DEoYgszCiPJ50kvGZRbsFPAQTC2Cd+6DkTluzVGqjMupwbfBwVzU5BZy8nLb7BbhzpnxBccj0AwhiCOWG9vnxNppyAlh0tAjJ2Cp/BYXAIzBCEQ5DwwOsquQeH1WHrVI49GsyHgNSLWl/qoj5eoQbWZTANd5v59YdANREXgVBheg7py6eK/nj0jbwWgpNkQly5ceNn84jHqa0QfdwpUB1CD5mVnv2ppzsy4iqQGmxhy8717Qvp639U9qUNCoLnoMjYxnjFrtrm5ubz8KG+h8JUMzGFju1bkMzEYxICyjcFgjMSB7VNV9cDaetlINIi7fj7eNra2S62sN2zYgCYDveciXWiQSkIyCmnPuXNnuZqLox6f0JKG6RGMU5MtMFpmSZeeJHGIZBQyDs4X2rkMAcky6A9W4HrpneQSfw5DEFKC5qCn9zYvonxgGwI8BfwFvAZ8B+O9Qi5LoXkECJGdfYPKqtgI7LLt+vXrLpucqOSm4GigBSVDgPnhlomKEzo5bsQuuogalJjss19nizFnTCg/6lQd2vG5yNRccYrSPAaDb/wfi0BNTW2a8hfQksNAIJLRlTa2cp8r/JCQgNSA4lwO3o2Db7lGMMa9MYOhsEBY0DxCICL+fxYVGuKTnek3BMU/SwRyCQYBNfHgTb9r51+Jgx0bljoCdG5BBtRRaZo9Al4jEhMTw3uVifBRWhAwwgrNpwYUf42NjdgHGyggKASaDYHxKCYIC81bY4JohSGG0BBYxycMOMP8ApXOYv7Nm7QgoI4/cPoI/A0LkIHSH+0jCh5BFV3EkUyUbVRO6FER0Fp1UjKyaurqTps2SUhIYOxDYOnt7VWZMXPtWluKCB6eW7ARpKWlJSQkQQvOXp7w1MCKEXhe8KfgEp4aQo8Y7qhCjxB6xHCP+C/PSSYaQbUDlQAAAABJRU5ErkJggg==)
In the figure we can clearly see that there are 3 shaded squares with 1 sq. unit area
∴ total shaded area = 3×1 sq. units = 3 sq. units
(ii)
![](data:image/png;base64,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)
Here, we can clearly see that all upper faces of the cubes in the figure are shaded and there are 9 unit cubes in the figure.
∴ area of the shaded region = 9×1 sq. unit = 9 sq units
(iii)
![](data:image/png;base64,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)
Here, we can see that whole upper face of top layer unit cubes is shaded, that is 4 unit cubes and in bottom layer, we can see that upper face of 12 unit cubes are shaded.
∴ Total shaded area = (4 + 12)× 1 sq. unit = 16 sq. units
(iv)
![](data:image/png;base64,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)
Here, we can see that upper face of the unit cube in the top layer is shaded and in middle layer 4 unit cubes are shaded and in the bottom layer, 5 unit cubes are shaded.
∴ total shaded area = (1 + 3 + 5)× 1 sq. unit = 8 sq. units
Draw the following 3-D figures on isometric dot sheet.
(i)
(ii)
(iii)
(iv)
Answer:
(i)
(ii)
(iii)
(iv)
Question 2.
Draw a cuboid on the isometric dot sheet with the measurements 5 units × 3 units × 2 units.
Answer:
Question 3.
Find the number of unit cubes in the following 3-D figures.
Answer:
A unit cube is drawn by joining 2 adjacent dots in the isometric sheet.
Here in the vertical bar, there are 2 unit cubes
In the horizontal bar, there are 3 unit cubes
∴ Total no of unit cubes in given figure is: 5
Question 4.
Find the number of unit cubes in the following 3-D figures.
Answer:
Here, in each bar there are 2 unit cubes
∴ 2× 4(bars) = 8 unit cubes
And also there is a unit cube in center
∴ Total no. of unit cubes in given figure are: 8 + 1 = 9
Question 5.
Find the number of unit cubes in the following 3-D figures.
Answer:
Here, there are 4 unit cubes in the top layer
In bottom layer, there are 4 + 12 = 16 unit cubes
∴ Total no. of unit cubes in the given figure are:20
Question 6.
Find the number of unit cubes in the following 3-D figures.
Answer:
Here, there is 1 cube at the top
In the middle layer, there are 4 cubes
In the bottom layer, there are 9 cubes
∴ Total no. of cubes = 1 + 4 + 9 = 14 unit cubes
Question 7.
Consider the distance between two consecutive dots to be 1 cm and draw the front view, side view and top view of the following 3-D figures.
Answer:
(a)
(b)
(C)
Question 8.
Find the areas of the shaded regions of the 3-D figures given in question number 3.
Answer:
(i)
In the figure we can clearly see that there are 3 shaded squares with 1 sq. unit area
∴ total shaded area = 3×1 sq. units = 3 sq. units
(ii)
Here, we can clearly see that all upper faces of the cubes in the figure are shaded and there are 9 unit cubes in the figure.
∴ area of the shaded region = 9×1 sq. unit = 9 sq units
(iii)
Here, we can see that whole upper face of top layer unit cubes is shaded, that is 4 unit cubes and in bottom layer, we can see that upper face of 12 unit cubes are shaded.
∴ Total shaded area = (4 + 12)× 1 sq. unit = 16 sq. units
(iv)
Here, we can see that upper face of the unit cube in the top layer is shaded and in middle layer 4 unit cubes are shaded and in the bottom layer, 5 unit cubes are shaded.
∴ total shaded area = (1 + 3 + 5)× 1 sq. unit = 8 sq. units
Exercise 13.2
Question 1.Count the number of faces , vertices , and edges of given polyhedra and verify Euler’s formula.
![](data:image/jpeg;base64,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)
Answer:Here,
No. of Faces (F):5
No. of Vertices (V):6
No. of Edges (E):9
Euler’s formula: F + V = E + 2
⇒ 5 + 6 = 9 + 2
⇒ 11 = 11
∴ Euler’s formula satisfies for the shape.
Question 2.Count the number of faces , vertices , and edges of given polyhedra and verify Euler’s formula.
![](data:image/jpeg;base64,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)
Answer:Here,
No. of Faces (F):7
No. of Vertices (V):10
No. of Edges (E):15
Euler’s formula: F + V = E + 2
⇒ 7 + 10 = 15 + 2
⇒ 17 = 17
∴ Euler’s formula satisfies for the shape.
Question 3.Count the number of faces , vertices , and edges of given polyhedra and verify Euler’s formula.
![](data:image/jpeg;base64,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)
Answer:Here,
No. of Faces (F):8
No. of Vertices (V):12
No. of Edges (E):18
Euler’s formula: F + V = E + 2
⇒ 8 + 12 = 18 + 2
⇒ 20 = 20
∴ Euler’s formula satisfies for the shape.
Question 4.Count the number of faces , vertices , and edges of given polyhedra and verify Euler’s formula.
![](data:image/jpeg;base64,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)
Answer:Here,
No. of Faces (F):6
No. of Vertices (V):6
No. of Edges (E):10
Euler’s formula: F + V = E + 2
⇒ 6 + 6 = 10 + 2
⇒ 12 = 12
∴ Euler’s formula satisfies for the shape.
Question 5.Count the number of faces , vertices , and edges of given polyhedra and verify Euler’s formula.
![](data:image/jpeg;base64,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)
Answer:Here,
No. of Faces (F):5
No. of Vertices (V):5
No. of Edges (E):8
Euler’s formula: F + V = E + 2
⇒ 5 + 5 = 8 + 2
⇒ 10 = 10
∴ Euler’s formula satisfies for the shape.
Question 6.Count the number of faces , vertices , and edges of given polyhedra and verify Euler’s formula.
![](data:image/jpeg;base64,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)
Answer:Here,
No. of Faces (F):8
No. of Vertices (V):12
No. of Edges (E):18
Euler’s formula: F + V = E + 2
⇒ 8 + 12 = 18 + 2
⇒ 20 = 20
∴ Euler’s formula satisfies for the shape.
Question 7.Count the number of faces , vertices , and edges of given polyhedra and verify Euler’s formula.
![](data:image/jpeg;base64,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)
Answer:Here,
No. of Faces (F):8
No. of Vertices (V):6
No. of Edges (E):12
Euler’s formula: F + V = E + 2
⇒ 8 + 6 = 12 + 2
⇒ 14 = 14
∴ Euler’s formula satisfies for the shape.
Question 8.Count the number of faces , vertices , and edges of given polyhedra and verify Euler’s formula.
![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAoHBwkHBgoJCAkLCwoMDxkQDw4ODx4WFxIZJCAmJSMgIyIoLTkwKCo2KyIjMkQyNjs9QEBAJjBGS0U+Sjk/QD3/2wBDAQsLCw8NDx0QEB09KSMpPT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT3/wAARCABWAFcDASIAAhEBAxEB/8QAGwAAAgMBAQEAAAAAAAAAAAAAAAYDBAUBAgf/xABAEAACAQMCAgQJCQYHAAAAAAABAgMABAUGERJRITFBoRMiMkJSYZGxwRQVFiMzNHGBggdTcoOSokNEVGJjc9H/xAAZAQEBAAMBAAAAAAAAAAAAAAAAAQIDBQT/xAAeEQEBAQEAAgIDAAAAAAAAAAAAAQIRAxITMQQhYf/aAAwDAQACEQMRAD8A+yDi42324ejavVFFAVwkKCSQAOsmvMkiQxtJIwRFG7Mx2AFKzyXGtJWigaS3wSNs8o6Hu9uxeSevtoL302wXhWjN8o4WK8RRuE7cjtsauQahxN0QIcjauT2CQVbjsraG2S3jgjWFAFVOEbAfhVW40/ibobTY61b+UBQXUnil+zkR/wCFgakrAk0ThG6YrVoDzhlZPca8fRARdNnmMpb/AM7jHeKBiopd+Zc/B921AZByuLdW7xUc0uqMfC8s0uJmiQbs7loth7qBmopZ0fqyXU4vFmsjbNauq8QbdZARuCPVRQM1RXNzDaW7z3EixxRjiZ2OwAqWvn13f5DUOZmkmxFxd4aznaOKGF1AlkQ7FnB6wD1Cg1UjudaTCW4WS3wSNvHEfFe7285uSertpqjjSKNY41Coo2VVGwApeGrGiAE2DysQHYsHEB7DXfpvjV+3ivoP+y2cfCgYqKwF1xgDvvfqm3pow94qo+vbWfYYmyu8hv5LonDGf1GpbJ9rJb9GqvLOqKWdgoHaTtSbLk9S35PC1njoj2AGV9vcDVV8Ct0/Hkr28vmPWJJCE/pHRWnX5GJ/W3Pg3TFfaywlhxLJfJJIu+6Q+O3dWXjYpdcCLJ5APFiOLitrI9Bl28+Tn6hWXfY+GWW2weNhjgkvT9a0agFIR5Z39fV+dP8ABBFaW0cMKhIokCqo7ABWfj3dzvGPkxMXnWBpVQ+Qz9woHC9+Y126tkRVoruhgWwElwf8zdzzA8wZDt3CitjWYidgTS/oYcWmY5u2eeaX2yNW3dS+BtJpfQRm9grI0TGYtG4sHrMAb2kn40G7XCAesV2igie2hlUrJDGwPWGUGkm+s20hkAFB+ZLp/FPZaSHsP+w91PdQ3drDfWsttdRrLDKpV0YdBBrDeJucrLG7i9hdrzJIsUbSSMFRAWYnsArMijm05kUxF67PbS7/ACG4bzh+7Y+kOzmKMnC+YyFrg4SQLj6y6YebCp6f6j0Vzvi17+j3/LPT2aei7N7hbjPXKkS33RAp644B5I/Pr9lMORmFtjbqZjsI4mb2A1PHGsUaxxqFRAFVR1ACsbWU3gNH5Rh1m3ZB+LdA99dOSZnI59tt7XdHQG30hi0PWbdWP6un40VpY+D5NjraDbbwUSJt+AAoqoq6jm8BprJyejayH+013T0XgNOY2LbbgtY1/tFUtbyGPRmUK9bQ8A/UQPjWzbxiK2ijHUqBfYKCWiiigKKKKCjmcRbZzGyWd2DwP0qy9DIw6mB5il79n1nJ8jvcheS+HvJbh4DJtt4kZKqB7Cfzpvpb0H06YR/TuJ29sjVOTvV7+uGSl3XBD4KK17bq7ghA57yAnuFbtxcRWlvJPcSLHFGpZ3Y7AAUu4i3l1Fkkzt8jJaRb/N9uw6h+9Ycz2chVQz0UUUC7rlt9OeB/1FzBFtz3kWmEdFLWuXMeOx8hjkeKPIQyS+DQsVVSTvsPyqwmtsE3l3oiPKRGX4UG9RWVFqjCznaPJ2pPrkA99XI8lZS/Z3du38MgNBZoryHVvJYH8DXqgjmbggkbkpPdWHoYAaNxzemjOfzYmtfItwY26b0YXPcaScPcz5bTuK0/jZDGPkiNfXKf4KEeQD6R7hQakhOssoYV3+Y7OT6xuy7lHmjmg7eZpqACgAAADoAFQ2VnBj7OK1tYxHDEoVFHYKnoCiiigKjeCKTy4kb8VBoooK02FxtwNpbC1ffnEv8A5VKTR+Bk68XbqearwnuoooIDofDb7xxTxH/juHHxrh0dGn3fLZWH1LcEjvFFFBHNpXIvBJDHqO+4JFKsJUV+gjatLT2AtNN4mKwslPCg8Z28p25miig1KKKKAooooP/Z)
Answer:Here,
No. of Faces (F):7
No. of Vertices (V):10
No. of Edges (E):15
Euler’s formula: F + V = E + 2
⇒ 7 + 10 = 15 + 2
⇒ 17 = 17
∴ Euler’s formula satisfies for the shape.
Question 9.Is a square prism and cube are same? explain.
Answer:No, Every Square prism is not a Cube (∵ All faces in a square prism need not be identical), but conversely all cubes are Square prisms.
Question 10.Can a polyhedra have 3 triangular faces only? explain.
Answer:No, a polyhedra with 3 triangular faces does not exist,
∵For a polyhedra with 3 triangular faces, there exist another triangular face.
Question 11.Can a polyhedra have 4 triangular faces only? explain.
Answer:Yes, a polyhedra with exactly 4 triangular faces can exist,
A polyhedra with 4 triangular faces is triangular Pyramid.
Question 12.Complete the table by using Euler’s formula.
![](data:image/png;base64,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)
Answer:(i) Given: Faces = 8
Vertices = 6
Edges = ?
According to Euler’s formula, we know that : F + V = E + 2
∴ 8 + 6 = E + 2
⇒ 14 = E + 2
⇒ E = 14—2 = 12
∴ No. of Edges = 12
(ii) Given: Faces = 5
Vertices = ?
Edges = 9
According to Euler’s formula, we know that : F + V = E + 2
∴ 5 + V = 9 + 2
⇒ 5 + V = 11
⇒ V = 11—5 = 6
∴ No. of Vertices = 6
(iii) Given: Faces = ?
Vertices = 12
Edges = 30
According to Euler’s formula, we know that : F + V = E + 2
∴ F + 12 = 30 + 2
⇒ F + 12 = 32
⇒ E = 32—12 = 20
∴ No. of faces = 20
Question 13.Can a polyhedra have 10 faces, 20 edges and 15 vertices?
Answer:Given: No. of face(F):10
No. of edges(E):20
No. of vertices(V):15
According to Euler formula, we know that
F + V = E + 2
That is, here
10 + 15 = 20 + 2
⇒ 25 = 22
This is not true.(That is, 25≠22 )
∴ A polyhedra with 10 faces, 20 edges and 15 vertices is not possible.
Question 14.Complete the following table
![](data:image/png;base64,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)
Answer:1) A cuboid has 8 vertices and 12 edges.
2) A square pyramid has 5 vertices and 8 edges.
3) A triangular prism has 6 vertices and 9 edges.
∴ ![](data:image/png;base64,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)
Question 15.Name the 3-D objects or shapes that can be formed from the following nets.
![](data:image/png;base64,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)
Answer:No. of faces in the net: 7 (1 hexagon + 6 triangles)
No. of vertices in the net: 7
No. of edges in the net: 12
∴The possible shape we get from the net is hexagonal pyramid.
Question 16.Name the 3-D objects or shapes that can be formed from the following nets.
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAEgAAABhBAMAAACHYPqKAAAAAXNSR0IArs4c6QAAAB5QTFRF////5OTj2tratt3Hu7q6urPWr6+ugXyTW1dlHxoXM35l0wAAAJNJREFUeNpjYBjcgHMmFEzAp8gYCkYVDRlF0IidgFCEJaI5Q8EASdFUqAiJiuDJCBMgVHFiMCZgMEYVjSoaVURlRcRkTuqVBcQVPaNF9KgiUpshmEkbizkwJm6zOEMjYcypoaOKRhUNMUXEpHEGBk5GJQjAn+86wKBzAt5OAqSMj2SgXFE5GFTiVcSSBgYpDMMFAABzbPgegP+vugAAAABJRU5ErkJggg==)
Answer:No. of faces in the net: 6 (2 squares + 4 rectangles)
No. of vertices in the net: 8
No. of edges in the net: 12
∴The possible shape we get from the net is Cuboid.
Question 17.Name the 3-D objects or shapes that can be formed from the following nets.
![](data:image/png;base64,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)
Answer:No. of faces in the net:6(1 pentagon + 5 triangles)
No. of vertices in the net: 6
No. of edges in the net: 10
∴The possible shape we get from the net is pentagonal pyramid.
Question 18.Name the 3-D objects or shapes that can be formed from the following nets.
![](data:image/png;base64,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)
Answer:No. of faces in the net: 3 (2 circles + 1 rectangle)
No. of vertices in the net: 0
No. of edges in the net: 2
∴The possible shape we get from the net is Cylinder.
Question 19.Name the 3-D objects or shapes that can be formed from the following nets.
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAG4AAABTCAIAAADx3aXfAAAAAXNSR0IArs4c6QAAAklJREFUeF7t3DFOAlEUhWFwB0BFIhEsDQmVNIY9IK5EbQRrtVB0JbIEKYgLICEWkAgGEypgCTiERhruje/MBJOf+s6Z58dhKG4kvVqtUrwUAgeKEDLWAlDKegCljDIdx7NysVjM5/PwM+ZyuWw2G56TTEIslLet5nK5zGQyIX/DJuHu/iEkJNFro1bKX63mzXA4DIyNEqKcwJAkL+dZKSsulFDKBGRBtBJKmYAsiFZCKROQBdFKKGUCsiBaCaVMQBZEK6GUCciCaCWUMgFZEK2EUiYgC6KVUMoEZEG0EkqZgCxoa3kb7a/bT4/h2e+93km5HL68/RgMzmq18PNIEk6r1Xr9fEfUFuVoNHp5bl9eXQfeOwppNC6OisWQnK/JpNN53Z/DdLtvxlL+96ZYtXreqz14Yofhayfkk7N1LZRQygRkQbQSSpmALIhWQikTkAXRSihlArIgWgmlTEAWRCuhlAnIgmgllDIBWRCthFImIAuilVDKBGRBtFJGycbRRRmtP82NI3twF2U0ZO7BU3H8m29i+9I4Dv/nTJ6V3laac1CaRN4BKL1S5hyUJpF3AEqvlDkHpUnkHYDSK2XOQWkSeQeg9EqZc1CaRN4BKL1S5hyUJpF3AEqvlDkHpUnkHYDSK2XOQWkSeQeg9EqZc1CaRN4BKL1S5hyUJpF3AEqvlDkX1y9QHxYK+XzevP2Ogdls9j2d/qNfoI6Fst/vj8efIY6ba0ul40qlEp6TTEIslMkcfd/uwrNS9o5ACaVMQBZEK6GUCciCfgCUY1LOpQOZ3AAAAABJRU5ErkJggg==)
Answer:No. of faces in the net: 6(6 squares)
No. of vertices in the net: 8
No. of edges in the net: 12
∴The possible shape we get from the net Cube.
Question 20.Name the 3-D objects or shapes that can be formed from the following nets.
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGkAAABeCAIAAACvn614AAAAAXNSR0IArs4c6QAAC5FJREFUeF7tXAtsVUUa7iobcyUV01IL9I1ciY8VjciubUGzEaK4y0NFkSLEx8YWjeu6WigYH9gWCojE3W2BVXkUfJcWdVFaEkxoqwsFyzvcEqG0ZTH0dl2utLtB1K+OOZ4995w5/8y5/23B3lRSe2fm/+eb+V/z/zMx3/3cP2dDB1fPGFdQceg/NkiEDlbkT5nx2t6QHUoxP3fouud/NnSoIv+OpQ1nLGCEGhY/mF9x0BY4NP0F/ovp+2ghcIFWr75O3Qj0Yae/D/qw62XYdXR0dHV16TN1jvRk2XcvLVn85yf/BAR7FoS2ttZFJQv5eGDB7sZRo4Lt7XdOnADu+ViXj/xpfX3WqJE7Gxr4GGDBLiNj6DC/f0HJInCPOfBx7zTyunXlBbPzC0sW3zByJB91FuwGDow/3NR0U2ZmzSfbMIeqqkq+CVhGhp6FnNbX1W3Y+D6+umL4cEbSTHFF2pDEzs5ODN7a2nLP3XeVlv6NiZB52GAwmJf7yNyCOYI0fgkEAnx0uWIyM9+YCaaEHzElpg8W6ebsLPMi4X+BJhO57niMaWjMoaa62jw4/oINiBlyUISQYqfjX2NwoAbsOGgZY7LoO6iYwYMHNx1uMuuavLxZ9+Xk5Eyd2tT0f3/3ro+gT6FVoVuhYY3RgF3W6NHeB5eMwIXd1Vdf09rSYiE8adJkGN+xt4yOlPGFZSgrK63evHn9W2/5/X4zuf3791151VWs2HHJLFQbhMhWZIRiKi9f61GghBo1LINltJKFC8wi7JGWbXeufefz+dKHDrP1jZOSkuFAYGLYMtqhG0a+fdzYX117bVHxAtAK31/wigcmJJyT+064CI2NjU4Ljl2DBnrGF7hj51pskYWQ066P4AbkklmwWFm5AT9yXmF8gYKS8QVk6CJZFVCEW4dViSBMUZVZCEviZYmBQ4fkUgPj+8yzz8H47t69myJfEPO/r1wByzBixAhJ++ajR9PT0ykDemnDpe/AU2paKiUUv3XsWBjfPz72qNz4QjPOysvdu2fP6rXl0JjyOZ/48gRvNCbIs25sutIJjwrMjKkGdtzRmOCNFzsoHXpE6eRzQLW5WoZwQ8EajQlyjDKLTQ0fAqqHqFPgary09OUBAwaYz0231NRAnCHUEG3iODhzhXsUFxdHbK/djBc7RGZQPXTmAF/+7DlAXJybwjIUzn8BlsEcbLmO1tLSwh2NCR54sUNkdvDAAdfZWhrA+BbNfxHnpo21tR9V17haBkv3I0e+wMG1KlGN9rzYxcfHr1+zSpWt0Kf1SSvL3hk37vHjLafWrv5GMe8BxwjukSpRnfasdhaDKx2idQYCzY/mHpk6Bb+g79nOzhPLSwP+lGBVJX4nssp30mVhgNfOukZmBjdngsHWeQWHfzvmVP1PZ3DiW+Orf9fUUOCjO0aU0SRteGUWgoCDICggiUR829X15Yqy5imTfTeOyvjw49ibfjqDE736xcUlFRYPWf7qqaqKo/fdc1oageBwcPyESToCqN6HHbvLh17uFJkBtY6NVUd+dxvYTnu3Mm7ipAvsTkTEpHx+f+pfy+Iff+LkwqK2Z+b+r63NdrJwiWCm1XHQ6cGOHQ6CbCMzbJ9jD87s2rE9ee0biY/kYXNR2MeuTH19DXZo64xp2K1A39ILh9VwjChDRaCNR5mndLcooP+2tkK1wSCEqzbKaIYShBmBfrQowehEY9GIyQQNIzKDrTy5rlzVbkoAtdhltDRym/Rl0G7JLrMQDRwHtZ88+dWWLVBtZ463ZXzWKFdtdGkylODx3If/tbikef8+RGO2x8j0Mekto4Fd/wv77Zj//FevrYStHPz0bKJqo88BShAG+pdDkvZMuA1xrPY5Pp2iaMmIHdwFBKS3jM7e8/mu6xIS0t98B9tElT9iexjogTnTr1/1xqCuziuHZaCsIlKpOAkDka83Rgy/devWDzZuBNXfT5w4fvwdvmCwY80q+GhEILSbdTU1gZDvyad27dy5YUPFgX377p02LTMzS37IrE0uYnEFzsuQSYBZEIUN5hQENDoMq7ZKpne0EAJLSJggRMMPUppKWREKUa/Y4cASWStABgMHyGxTMD2FnTF/oAbssKgAEQscqWNRfewAGfLHgExkkSV1Oj2OnQEillZk5rDYANFjbZEydhbylDXsPdgJEIWsEBdeIrxUWxFuAeiH2kKFR81W0AnBm6mrrdW3KnKlKCwA1ES4BaBo0x/XuYdsBZ1Dw6qIQhmiVbGXWYoFoHPW22RWwrnZqsBGyzWSFTt09q4ILMydQ9jZWhWn+g2buOLoD1nB2Esuubh//6jFhvoOKk/PlJSU2NjYxEGDcNmh8/RpWyJW7JCUKi1bvmvvAf8wf3Hhi4ioEFf14DUJHmQcR4X1QEYYxRtIcoZCoaXLlr397nuOGU652hLyb7jmFI8kfMBzQmYhmGZlRdHmVP9Ow60zyPdm7LA5tL1lKnYGEBpeZS/EzvC9vIS6ytiZXXN5GNsL953wvXAuL4m+KdIq2mhiZxCgOM+9Yd8ZOgfAyaNvOnbUmMzV3kmCth6MyVATtWnTP8RhIm53jBlzMz2UdJ2y130XvkoouDNrX2zM6O87yKbTYSJ9W7m2jDx2ZtdcWP3Cp5/aNivXlRXvDbBI1X94SNXV0KbLiJ1hVV4pLl6SNkSpHkdjPgBu98MPYKm8H8wRqTPmeoS+QFTX79IB1yz9C0oAkGNEfZi7HlFsgSIzJBiRZky9dxq6ZmVnRymUJGLspZmR2/66sRHlAMhdiBIx7x8ky7GdUR2AlLkoMjvf6gIsNRVitqiIoJfU2aJsrASKNIwGiCBdL8R4XzMxArvMwnf5dWa2WQpRFICqJ/wFIow6KEUB7W6OIiiUQqEgKmHOPJwSX5SUZAwiKbvSICTvwo7dseZjeHfBwgRKA1D7hDKBr2s2u5bUmfuKYj0UQaEUCgVR/cNu9ziVXUUcuO4BI7WBncZxvVWGaiiKEjRUG4QdlaASts+fus8d27fjyQ/JshsldTCU2FO2ldmwzvRiPdR9RvxqOOnsM+J7G4994MkPF8Xh80EJoh6nWwn+5jooQaMoEfHcscfygq8sS5xfZFFtTmMqXYjxNF9WmZXc3naia67MdqrelvMM3zg6T4rw2gpUeObMfEBpbUVldswLRc8vWrj1uxjb6m35gGnp6bjuqERUrzEvdqicTk5JUeUM2uqhgjkjZ8z8IBBYsVr5aktycvKm93VcH1U+ebHTqJxG3RwessDlu+nT78dVWeygeXMLlMoREZDBo4xCfooXOzzzgStl9PUUb2DVbW8QqSnzzUYl+PCEFvxKOl3Nlqy2gl45DauCsyNEvrapONVnBeBUen9DxBUZRt9YXMV25QAN5C+diBHEEwvEm8xohkMBCmkvbRixQ4qAMgH5bXfz3MIffXKaOTZvFKILRuxcozHMXPU+uwCaclKidH9Sb/cx2grXe6wwqar32VHygWvcb65fj0oPuYLH1W1c4NY0AsRuepBTeiFtLFFPqurfTJGiHym7njILSRvGfffP+lrL22BiOeFtwGWD46Zxn12MQPFdcACBYwjiBtJrxoWd0z1WJEzxDAUeo8CTFF6yCsarDHhRy9YNxgFE3bZteqBQe3nct07d4VLAX7N8SzepdK4kvgvdu6STM7fksrPheQPxeBjHm3ROvgt33ocLOwvf0Nx0z1ZjF9j6Ltx5Hy59B12DBz6E4oA/Aa8i/FlJqlohtLP1XbjzPizYiZfcUTWj9HgYASJZE8BnOXfhzvuwYCfeeIX5g0nFCbhHk0rH1OK7wEOCn0TvrtqSBTu88Qo+8CJgZlYWHijy4ouozsfiu/DmfTQUs2sXUYnEYVJdSRsNhO8i7tzReym1ZLGzQI14rUiJV9XGwnfhy/tErO5TVbii0x46t709yHRv+zzHjnWFWGwFK8e9Z/A+7PTXog+7Puz0EdDv+T2blL2vy6xZUgAAAABJRU5ErkJggg==)
Answer:No. of faces in the net:6(1 hexagon + 6 triangles)
No. of vertices in the net: 7
No. of edges in the net: 12
∴The possible shape we get from the net is hexagonal pyramid.
Question 21.Name the 3-D objects or shapes that can be formed from the following nets.
![](data:image/png;base64,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)
Answer:No. of faces in the net:6(2 trapezium + 4 rectangles)
No. of vertices in the net: 8
No. of edges in the net: 12
∴The possible shape we get from the net is trapezoid.
Question 22.Draw the following diagram on the check ruled book and find out which of the following diagrams makes cube?
![](data:image/png;base64,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)
Answer:(a)
![](data:image/jpeg;base64,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)
i. Fold Square-2, 90° downwards
ii. Fold Square-3, 90° downwards
iii. Fold Square-4, 90° downwards
iv. Now, fold Square-5, 90° left upward
v. Now, fold Square-6, 90° upward
Hence, by the above procedure, we can form a cube with the given net.
(b)
![](data:image/jpeg;base64,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)
i. Fold Square-2, 90° downwards
ii. Fold Square-3, 90° downwards
iii. Fold Square-4, 90° right
iv. Now, fold Square-5, 90° downward
v. Now, fold Square-6, 90° left upward
Hence, by the above procedure, we can form a cube with the given net.
(c)
![](data:image/jpeg;base64,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)
i. Fold Square-2, 90° downwards
ii. Fold Square-3, 90° downwards
iii. Fold Square-4, 90° downwards
iv. Now, fold Square-5, 90° right upward
v. Now, fold Square-6, 90° right
Hence, by the above procedure we can form a cube with the given net.
(d)
![](data:image/jpeg;base64,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)
i. Fold Square-2, 90° downwards
ii. Fold Square-3, 90° left
iii. Fold Square-4, 90° downwards
iv. Now, fold Square-5, 90° right upward
v. Now, fold Square-6, 90° right
Hence, by the above procedure we can form a cube with the given net.
(e)
![](data:image/jpeg;base64,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)
i. Fold Square-2, 90° downwards
ii. Fold Square-3, 90° downwards
iii. Fold Square-4, 90° downwards
iv. Fold Square-5, 90° downward
v. Now, fold Square-6, 90° left upward
Hence, by the above procedure we can form a cube with the given net.
(f)
![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAoHBwkHBgoJCAkLCwoMDxkQDw4ODx4WFxIZJCAmJSMgIyIoLTkwKCo2KyIjMkQyNjs9QEBAJjBGS0U+Sjk/QD3/2wBDAQsLCw8NDx0QEB09KSMpPT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT3/wAARCACfAM0DASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD2aiiigAooooAKKKKACiiigAooooAKKKKACis7XtQbS9GubtBlolyBXm2m+NfF+sQNcWdkGh3EA7aAPWqK8w/4SDxx/wA+P/jtH/CQeOP+fH/x2gdj0+ivMP8AhIPHH/Pj/wCO0f8ACQeOP+fH/wAdoCx6fRXkmo+OPFujLHNfWYWFm2k7a9O0i8OoaVb3TDBlQMaBF2iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKAMLxp/yKl9/uVlfC858JoPRzWr40/wCRUvv9ysn4Xf8AIqL/AL5oA7OiiigAooooA4f4rHHhuMesorovC3/It2P/AFzFc58Vv+Rcj/66iuj8Lf8AIt2P/XMUgNaiiimAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAGF40/5FS+/3Kyfhd/yKi/75rW8af8AIqX3+5WT8Lv+RUX/AHzQB2dYmg3dxdXd7uvlvbVGCxyhVX5udwG3qo4GT3zya26r22n2dkztaWkEBf7xijC7vrjrQBYooooA4b4rf8i5H/11FdH4W/5Fux/65iuc+K3/ACLkf/XUV0fhb/kW7H/rmKQGtRRRTAKKKKACiiigApKx/Fl5LYeG7u4gOJEXg15t4f0vxd4g077cmolEdjgFqAPYaK8y/wCEQ8Yf9BT/AMeo/wCEQ8Yf9BT/AMeoA9NorzL/AIRDxh/0FP8Ax6j/AIRDxh/0FP8Ax6gD02ivGvEdp4t8NWaXMuoF1dtvDVo2XhvxffWUVyNT2iVQwG6gZ6pRXmX/AAiHjD/oKf8Aj1H/AAiHjD/oKf8Aj1Aj02ivMv8AhEPGH/QU/wDHqP8AhEPGH/QU/wDHqAOy8ZDPhW+5H+rrJ+F4x4TTkcua5PXfC/im30e4lutR8yFVyy7uoql4R8OeJL7RhNp995UBY4XdikM9qorzL/hEPGH/AEFP/HqP+EQ8Yf8AQU/8epiPTaK8y/4RDxh/0FP/AB6j/hEPGH/QU/8AHqANb4rDPhuM5H+tFdF4YGPDdjyP9UK8m8Y+HvEVhpay6le+dFvxjdnmtXSPCviubSreS31HZEyAqu7oKQz1mivMv+EQ8Yf9BT/x6j/hEPGH/QU/8epiPTaK8y/4RDxh/wBBT/x6j/hEPGH/AEFP/HqAPTaWvGr1/E/hjX7CO9vTLFMwBG6vYojuiQnqVBoAwvHP/IpXv+7VD4ZEnwjF/vGr/jn/AJFK9/3aofDL/kUYv940AdfRRWe2tWg11NIy5umhM3C/KACOCfXnpQBoUUUUAcH8WCf7BgHbzRXU+HTnw/ZZ/wCeQrlvix/yArf/AK6iup8Of8i9Zf8AXIUAadFFRXNwtrbvM6yMqDO2NCzH6AUAS0VW06/i1TT4L23DiKdA6hxggH1FWaAMLxmSPCl9j+5WV8Lj/wAUmv8AvmtXxp/yKl9/uVk/C7/kVF/3zQB2dFITgE+lZui65DrsBntYJ0hwCryBQH+mCT+eKANOiiigDhvisT/wjkf/AF1FdH4XJPhuxz/zyFc58Vv+Rcj/AOuoro/C3/It2P8A1zFIDWopskiQxPJIwVEBZmPQAdTVPS9Vj1aFpoIpkiB+V5AAHHqMEn88GmBeooooA80+JZP/AAkOkDtuH869Hg/1Ef8Auj+Veb/Er/kYtI/3h/OvSIP9RH/uj+VAGH45/wCRSvf92qHwy/5FGL/eNX/HP/IpXv8Au1Q+GX/Ioxf7xoA6+ufj8MyweJYtTj1GdogZnkhdUOS+3gHbnA29z2HvXQUUdbgFFFFAHB/Fj/kBW/8A11FdT4c/5F6y/wCuQrlvix/yArf/AK6iup8Of8i9Zf8AXIUAadRXXnfZpPsojM2PkEhIXPvjmpaKHqBl+HLC70vQ7eyvTA0kC7A0JOCB3571qUUUPUDC8af8ipff7lZPwu/5FRf981reNP8AkVL7/crJ+F3/ACKi/wC+aAOyYEqQpAOOCRmsPR9Dns9Vmv7hLKBnhEPlWaFUfDZ3tnHPOP61u0UAFFFFAHDfFb/kXI/+uoro/C3/ACLdj/1zFc58Vv8AkXI/+uoro/C3/It2P/XMUgL1/aLf6fcWrMVWeJoyw6jIxn9ayfDegy6O80k32VGkjjiEdqpVDsB+c/7Rzz9B1reopgFFFFAHmfxK/wCRi0j/AHh/OvSIP9RH/uj+Veb/ABK/5GLSP94fzr0iD/UR/wC6P5UAYfjn/kUr3/dqh8MgR4Ri92Na/iuxl1Hw7dW0AzI6/KK820K48Z6Bp/2KKxLIjEg7aBnsNFeYf8JH43/6B/8A47R/wkfjf/oH/wDjtAj0+ivMP+Ej8b/9A/8A8do/4SPxv/0D/wDx2gDT+LAP9gwHHHmiuq8Ogjw/ZZ/55CvIPGWseJbvTo01S18qIPkHGOa2NM8QeMY9Nt0t7HdEqAKdvUUhnrNFeYf8JH43/wCgf/47R/wkfjf/AKB//jtMR6fRXmH/AAkfjf8A6B//AI7R/wAJH43/AOgf/wCO0Adn4zBPhS+x/crJ+FwI8Jp/vmuS13XvF02j3Ed5ZbIGXDtt7VT8I614otdGEemWnmQBjg4zzSGe10V5h/wkfjf/AKB//jtH/CR+N/8AoH/+O0xHp9FeYf8ACR+N/wDoH/8AjtH/AAkfjf8A6B//AI7QBrfFYH/hHIz/ANNRXR+FwR4bsc/88hXmXiBvGPiOyW1nsiqht33auWOr+NdPsorVLElYl2g7aQz1eivMP+Ej8b/9A/8A8do/4SPxv/0D/wDx2mI9PorzD/hI/G//AED/APx2j/hI/G//AED/APx2gCT4lg/8JDpB7bh/OvR4P9RH/uj+VeQXdn4q8S69Yy6haGOGBgScV7BEu2JFPUKBQMfRRRQIKKKKACiiigDhPiu2NAgH/TUV1Ph058P2R/6ZCuV+LH/ICt/+uorqfDn/ACL1l/1yFAGnRRWLJrc0XiiHTClu8cqsfkkJljAXO5hjGD0656UAbVFFFAGH4yOPCt9/1zrJ+F5z4TQejmtXxp/yKl9/uVk/C7/kVF/3zQB2dFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAcH8WP+QFb/8AXUV1Phz/AJF6y/65CuW+LH/ICt/+uorqfDn/ACL1l/1yFAGnWbJosc2qRXs91cyiFzJFAxXZG5XbkcbuhPBOOa0qKACiiigDC8af8ipff7lZPwu/5FRf981reNP+RUvv9ysn4Xf8iov++aAOzooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigDg/ix/yArf8A66iuq8PDb4fshkf6oVl+OfDcvibRhawSBHU5BJrkLbwf4utbdIY9UARBgfPQM9UzRmvMP+EX8Y/9BQf990f8Iv4x/wCgoP8AvugD0/NGa8w/4Rfxj/0FB/33R/wi/jH/AKCg/wC+6AO08ZDd4VvuR/q6yPhd/wAiov8AvmubvPBfiy/tXt5tTBjfhhvrufB2hP4d0KOylcO6nJIoA3qKKKBBRRRQAUUUUAFFFFABRRRQAUUUUAf/2Q==)
i. Fold Square-3, 90° downwards
ii. Fold Square-4, 90° downwards
iii. Fold Square-5, 90° downwards
iv. Now, fold Square-2 90° left
v. Now, fold Square-6 90° left upward
Hence, by the above procedure we can form a cube with the given net.
(g)
![](data:image/jpeg;base64,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)
i. Fold Square-2, 90° downwards
ii. Fold Square-3, 90° right
iii. Fold Square-4, 90° downwards
iv. Now, fold Square-5 90° left
v. Now, fold Square-6 90° straight upward
Hence, by the above procedure we can form a cube with the given net.
(h)
![](data:image/jpeg;base64,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)
i. Fold Square-2, 90° downwards
ii. Fold Square-3, 90° downwards
iii. Fold Square-4, 90° downwards
iv. Now, fold Square-5 90° left
v. Now, fold Square-6 90° straight upward
Hence, by the above procedure we can form a cube with the given net.
(i)
![](data:image/jpeg;base64,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)
i. Fold Square-2, 90° downwards
ii. Fold Square-3, 90° downwards
iii. Fold Square-4, 90° left of square-3
iv. Now, fold Square-5 90° downwards
v. Now, fold Square-6 90° right upward
Hence, by the above procedure we can form a cube with the given net.
(j)
![](data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAoHBwkHBgoJCAkLCwoMDxkQDw4ODx4WFxIZJCAmJSMgIyIoLTkwKCo2KyIjMkQyNjs9QEBAJjBGS0U+Sjk/QD3/2wBDAQsLCw8NDx0QEB09KSMpPT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT09PT3/wAARCABhAN8DASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD2aiiigAooooAKKKKACiiigAooooAKaZEHBZR9TTq8ki0rUfFPjbVIP7Ult4oD8qqaAPWPNj/vr+dHmx/31/OvP/8AhWd7/wBB24/M0f8ACs73/oO3H5mgD0DzY/76/nR5sf8AfX868/8A+FZ3v/QduPzNH/Cs73/oO3H5mgD0DzU/vr+dHmx/31/OvG9P8Oane+L7vRm1mYRwLkNk810n/Cs73/oO3H5mgZ6B5sf99fzo82P++v515/8A8Kzvf+g7cfmaP+FZ3v8A0Hbj8zQI9A82P++v50ean99fzrz/AP4Vne/9B24/M1geLvC+peGrKCeHWpnMkgQgk0Aev+bH/fX86PNj/vr+ded23w4vZ7aKU67cZdAx5PcVJ/wrO9/6Dtx+ZoA9A82P++v50ebH/fX868//AOFZ3v8A0Hbj8zR/wrO9/wCg7cfmaAPQPNT++v50+vIfFfhPUvDWmx38OtTuVkAKknmvUNFlabRbSSQ5ZolJNAF6iiigAooooAKKKKACiiigAooooAK868Gf8j/rX1Nei1514M/5H/WvqaAPRaKKp6pJdxafK9gIfOUEgzE7VHrgdfpxn1FJuwJXLlFZ3h+/l1Tw/YXtwEEtxAsjhBgZI5xWjVNWdgR51oX/ACVbU/8AdNei151oX/JVtT/3TXotIAoqC8SSS0lWK4+zuV4l2g7PfB4rM8MzXk9nO11PJcw+cwtppVVXkj7E7QB1zjgcUAbVcJ8Vf+QRZf8AXwK7uuE+Kv8AyCLL/r4FAHZad/yDbb/rkv8AKrNVtO/5Btt/1yX+VVPEWsf2Ho0t4E8xwyxxpgnLMwUdOep7UAalFY/h3UpNQt5/Pulnnik2uv2R7Zo+AQCjknvnNbFAHFfFP/kV1/66rXS6B/yAbL/riv8AKua+Kf8AyK6/9dVrpdA/5ANl/wBcV/lQBoUUUm4eooAWik3D1FG4eooAWik3D1FG4eooAWik3D1FG4eooAWik3D1FG4eooAWvOvBn/I/619TXom4eorzzwaMeP8AW+RwfX3oA9EqrqVvc3VjJDaXCW8rjHmPF5gA7/LkfzqzuHqKNw9RQ1cDN8PaXcaLpENhcXaXQgUJG6w+X8oGACMnJ9606TcPUUbh6im3cDzvQv8Akq2p/wC6a9FrzvQh/wAXV1PkfcPevQ9w9RSAgv7G31Oxls7yPzLeZdrpuK5H1HNR6bpVrpMBhs1lWMnOJJnkx9CxOKt7h6ijcPUUALXCfFX/AJBFl/18Cu63D1FcL8VcHR7M5H/HwO9AHZad/wAg22/65L/KodZ0tdY017VpDE25ZI5AM7HUhlOO+CBxUunkDTrYZH+qXv7VZ3D1FAGbpGkSafLdXN1ci6vLtlaWVY/LXCjCgLk4AHv3NadJuHqKNw9RQBxfxT/5Fdf+uq10ugf8gGy/64r/ACrmvilg+FgcjiZe9dJoH/IBsf8Ariv8qAMb4jX1zYeFZZLOQxylgoYdq5rS/BGu32mW9y2vygyoGIye9b3xP/5FJ/8Arotbvhr/AJFyw/64ikM4/wD4V9rn/QwS/maP+Ffa5/0MEv5mvRKKYjzv/hX2uf8AQwS/maQ/D7XACf8AhIJfzNei01/uN9KAPHPDuj6/r2o39q2tSILRtuQTzXQ/8K+1z/oYJfzNHw6/5GPXP+un9a9EpDPO/wDhX2uf9DBL+Zo/4V9rn/QwS/ma9EopiPO/+Ffa5/0MEv5muV0DwpqV54n1G1h1R4pYfvyA8tXt1edeDP8Akf8AWvqaQxf+Ffa5/wBDBL+Zo/4V9rn/AEMEv5mvRKKYjzv/AIV9rn/QwS/maP8AhX2uf9DBL+Zr0SigDxHTfCmpT+NryxTVHSeJctMDy1dV/wAK+1z/AKGCX8zSaD/yVbU/9016LSGed/8ACvtc/wChgl/M0f8ACvtc/wChgl/M16JRTEed/wDCvtc/6GCX8zVe7+Fuoaiipe61JIqnIBzwa9MooA86X4d60ihV1+UKowBk9KX/AIV9rn/QwS/ma9EooA87/wCFfa5/0MEv5mj/AIV9rn/QwS/ma9EooA80ufhfqV/5aXutySxKwYqc816JZWws7KG3U5ESBc/Sp6KAOO+J/wDyKT/9dFrd8Nf8i5Yf9cRWF8T/APkUn/66LW74a/5Fyw/64igB/iCz/tHQb2zFwts1xEYllY8KTwO4rG8Jxf2XqmoaQ9pZxywxxTGW03BXDZADBiSG4PfvXS3NtDeW8lvcxJLDINro4yGHuKh0/S7LSoDDp9rFbxk7isa4BNC3B6ot01/uN9KdTX+430oA89+HX/Ix65/10/rXoled/Dr/AJGPXP8Arp/WvRKAOV/t++uPGlnbW7xjSn86I/LlpJEAJIPYAnHvXVVgHwTog1i11GGxhhmt2dwI0ADs3c+461v0LZA9wrzrwZ/yP+tfU16LXnXgz/kf9a+poA9Fqnq0kkWmTPFcG3ZVyZREZCg7kKM5OOnBq5Va/tZLu1aKG6ltZMgrLFjcpBz0III9iKGCMrwlqdzqenXDXU4uPKuXjjlKCN3QYwWT+E8nggcAHHNb1Z2kaOmkrcN58lxcXMnmzzSYBdsADgAAcADgVo02B51oX/JVtT/3TXotedaF/wAlW1P/AHTXotIAooooAKKKKACiiigAooooAKKKKAOO+J//ACKT/wDXRa3fDYx4csB/0xWoPFmgHxJoclisnlsxyG9K5G28CeJrW3SCLXSEQYUZ7UAek0V51/whnin/AKDp/Oj/AIQzxT/0HT+dAHotNb7p+leef8IZ4p/6Dp/Oj/hC/FP/AEHT+dADvh2pHiLXfaT+teh15dZ/DTXNOmlmtNYKSTHLnPWrn/CGeKf+g6fzoGei0V51/wAIZ4p/6Dp/Oj/hDPFP/QdP50CPRa878GqR4/1vpwf60n/CGeKv+g8fzqnbfDTXLO7lurfWCs8v32z1oGeo0V51/wAIZ4p/6Dp/Oj/hDPFP/QdP50CPRaK86/4QzxT/ANB0/nR/whnir/oPH86ADQhj4ran/umvRa4nwh4Iu9C1m41K/vftM0wwTXbUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFAH/2Q==)
i. Fold Square-2, 90° downwards
ii. Fold Square-3, 90° downwards
iii. Fold Square-4, 90° right to square-3
iv. Now, fold Square-5 90° right to square-4
v. Now, fold Square-6 90° left upward
Hence, by the above procedure we can form a cube with the given net.
(k)
![](data:image/jpeg;base64,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)
i. Fold Square-6, 90° downwards
ii. Fold Square-5, 90° downwards
iii. Fold Square-4, 90° downwards
iv. Now, fold Square-3 90° downwards
v. Now, fold Square-1 90° downwards
Hence, by the above procedure we can form a cube with the given net.
Question 23.Answer the following questions.
(a) Name the polyhedron which has four vertices, four faces?
(b) Name the solid object which has no vertex?
(c) Name the polyhedron which has 12 edges?
(d) Name the solid object which has one surface?
(e) How is a cube different from cuboid?
(f) Which two shapes have the same number of edges, vertices, and faces?
(g) Name the polyhedron which has 5 vertices and 5 faces?
Answer:(a) A polyhedron with 4 vertices and 4 faces is tetrahedron.
(b) The only Solid object with no vertex is Sphere.
(c) The possible polyhedrons with 12 edges are a cube, cuboid, Hexagonal Pyramid.
(d) The Only solid object with 1 face is Sphere.
(e) Cube is a Regular Polyhedron (All faces are identical)
Whereas Cuboid is not a Regular Polyhedron (All faces are not identical)
(f) Cube and Cuboid have a same number of faces, edges, vertices.
That is 6 faces, 12 edges, 8 vertices.
(g) A Polyhedron with 5 vertices and 5 faces is square Pyramid.
Question 24.Write the names of the objects given below.
(a)
(b)
(c)
(d) ![](data:image/png;base64,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)
Answer:(a) The given Object is Octagonal prism.
(b) The given Object is Hexagonal prism.
(c) The given Object is triangular prism.
(d) The given Object is Pentagonal Pyramid.
Count the number of faces , vertices , and edges of given polyhedra and verify Euler’s formula.
Answer:
Here,
No. of Faces (F):5
No. of Vertices (V):6
No. of Edges (E):9
Euler’s formula: F + V = E + 2
⇒ 5 + 6 = 9 + 2
⇒ 11 = 11
∴ Euler’s formula satisfies for the shape.
Question 2.
Count the number of faces , vertices , and edges of given polyhedra and verify Euler’s formula.
Answer:
Here,
No. of Faces (F):7
No. of Vertices (V):10
No. of Edges (E):15
Euler’s formula: F + V = E + 2
⇒ 7 + 10 = 15 + 2
⇒ 17 = 17
∴ Euler’s formula satisfies for the shape.
Question 3.
Count the number of faces , vertices , and edges of given polyhedra and verify Euler’s formula.
Answer:
Here,
No. of Faces (F):8
No. of Vertices (V):12
No. of Edges (E):18
Euler’s formula: F + V = E + 2
⇒ 8 + 12 = 18 + 2
⇒ 20 = 20
∴ Euler’s formula satisfies for the shape.
Question 4.
Count the number of faces , vertices , and edges of given polyhedra and verify Euler’s formula.
Answer:
Here,
No. of Faces (F):6
No. of Vertices (V):6
No. of Edges (E):10
Euler’s formula: F + V = E + 2
⇒ 6 + 6 = 10 + 2
⇒ 12 = 12
∴ Euler’s formula satisfies for the shape.
Question 5.
Count the number of faces , vertices , and edges of given polyhedra and verify Euler’s formula.
Answer:
Here,
No. of Faces (F):5
No. of Vertices (V):5
No. of Edges (E):8
Euler’s formula: F + V = E + 2
⇒ 5 + 5 = 8 + 2
⇒ 10 = 10
∴ Euler’s formula satisfies for the shape.
Question 6.
Count the number of faces , vertices , and edges of given polyhedra and verify Euler’s formula.
Answer:
Here,
No. of Faces (F):8
No. of Vertices (V):12
No. of Edges (E):18
Euler’s formula: F + V = E + 2
⇒ 8 + 12 = 18 + 2
⇒ 20 = 20
∴ Euler’s formula satisfies for the shape.
Question 7.
Count the number of faces , vertices , and edges of given polyhedra and verify Euler’s formula.
Answer:
Here,
No. of Faces (F):8
No. of Vertices (V):6
No. of Edges (E):12
Euler’s formula: F + V = E + 2
⇒ 8 + 6 = 12 + 2
⇒ 14 = 14
∴ Euler’s formula satisfies for the shape.
Question 8.
Count the number of faces , vertices , and edges of given polyhedra and verify Euler’s formula.
Answer:
Here,
No. of Faces (F):7
No. of Vertices (V):10
No. of Edges (E):15
Euler’s formula: F + V = E + 2
⇒ 7 + 10 = 15 + 2
⇒ 17 = 17
∴ Euler’s formula satisfies for the shape.
Question 9.
Is a square prism and cube are same? explain.
Answer:
No, Every Square prism is not a Cube (∵ All faces in a square prism need not be identical), but conversely all cubes are Square prisms.
Question 10.
Can a polyhedra have 3 triangular faces only? explain.
Answer:
No, a polyhedra with 3 triangular faces does not exist,
∵For a polyhedra with 3 triangular faces, there exist another triangular face.
Question 11.
Can a polyhedra have 4 triangular faces only? explain.
Answer:
Yes, a polyhedra with exactly 4 triangular faces can exist,
A polyhedra with 4 triangular faces is triangular Pyramid.
Question 12.
Complete the table by using Euler’s formula.
Answer:
(i) Given: Faces = 8
Vertices = 6
Edges = ?
According to Euler’s formula, we know that : F + V = E + 2
∴ 8 + 6 = E + 2
⇒ 14 = E + 2
⇒ E = 14—2 = 12
∴ No. of Edges = 12
(ii) Given: Faces = 5
Vertices = ?
Edges = 9
According to Euler’s formula, we know that : F + V = E + 2
∴ 5 + V = 9 + 2
⇒ 5 + V = 11
⇒ V = 11—5 = 6
∴ No. of Vertices = 6
(iii) Given: Faces = ?
Vertices = 12
Edges = 30
According to Euler’s formula, we know that : F + V = E + 2
∴ F + 12 = 30 + 2
⇒ F + 12 = 32
⇒ E = 32—12 = 20
∴ No. of faces = 20
Question 13.
Can a polyhedra have 10 faces, 20 edges and 15 vertices?
Answer:
Given: No. of face(F):10
No. of edges(E):20
No. of vertices(V):15
According to Euler formula, we know that
F + V = E + 2
That is, here
10 + 15 = 20 + 2
⇒ 25 = 22
This is not true.(That is, 25≠22 )
∴ A polyhedra with 10 faces, 20 edges and 15 vertices is not possible.
Question 14.
Complete the following table
Answer:
1) A cuboid has 8 vertices and 12 edges.
2) A square pyramid has 5 vertices and 8 edges.
3) A triangular prism has 6 vertices and 9 edges.
∴
Question 15.
Name the 3-D objects or shapes that can be formed from the following nets.
Answer:
No. of faces in the net: 7 (1 hexagon + 6 triangles)
No. of vertices in the net: 7
No. of edges in the net: 12
∴The possible shape we get from the net is hexagonal pyramid.
Question 16.
Name the 3-D objects or shapes that can be formed from the following nets.
Answer:
No. of faces in the net: 6 (2 squares + 4 rectangles)
No. of vertices in the net: 8
No. of edges in the net: 12
∴The possible shape we get from the net is Cuboid.
Question 17.
Name the 3-D objects or shapes that can be formed from the following nets.
Answer:
No. of faces in the net:6(1 pentagon + 5 triangles)
No. of vertices in the net: 6
No. of edges in the net: 10
∴The possible shape we get from the net is pentagonal pyramid.
Question 18.
Name the 3-D objects or shapes that can be formed from the following nets.
Answer:
No. of faces in the net: 3 (2 circles + 1 rectangle)
No. of vertices in the net: 0
No. of edges in the net: 2
∴The possible shape we get from the net is Cylinder.
Question 19.
Name the 3-D objects or shapes that can be formed from the following nets.
Answer:
No. of faces in the net: 6(6 squares)
No. of vertices in the net: 8
No. of edges in the net: 12
∴The possible shape we get from the net Cube.
Question 20.
Name the 3-D objects or shapes that can be formed from the following nets.
Answer:
No. of faces in the net:6(1 hexagon + 6 triangles)
No. of vertices in the net: 7
No. of edges in the net: 12
∴The possible shape we get from the net is hexagonal pyramid.
Question 21.
Name the 3-D objects or shapes that can be formed from the following nets.
Answer:
No. of faces in the net:6(2 trapezium + 4 rectangles)
No. of vertices in the net: 8
No. of edges in the net: 12
∴The possible shape we get from the net is trapezoid.
Question 22.
Draw the following diagram on the check ruled book and find out which of the following diagrams makes cube?
Answer:
(a)
i. Fold Square-2, 90° downwards
ii. Fold Square-3, 90° downwards
iii. Fold Square-4, 90° downwards
iv. Now, fold Square-5, 90° left upward
v. Now, fold Square-6, 90° upward
Hence, by the above procedure, we can form a cube with the given net.
(b)
i. Fold Square-2, 90° downwards
ii. Fold Square-3, 90° downwards
iii. Fold Square-4, 90° right
iv. Now, fold Square-5, 90° downward
v. Now, fold Square-6, 90° left upward
Hence, by the above procedure, we can form a cube with the given net.
(c)
i. Fold Square-2, 90° downwards
ii. Fold Square-3, 90° downwards
iii. Fold Square-4, 90° downwards
iv. Now, fold Square-5, 90° right upward
v. Now, fold Square-6, 90° right
Hence, by the above procedure we can form a cube with the given net.
(d)
i. Fold Square-2, 90° downwards
ii. Fold Square-3, 90° left
iii. Fold Square-4, 90° downwards
iv. Now, fold Square-5, 90° right upward
v. Now, fold Square-6, 90° right
Hence, by the above procedure we can form a cube with the given net.
(e)
i. Fold Square-2, 90° downwards
ii. Fold Square-3, 90° downwards
iii. Fold Square-4, 90° downwards
iv. Fold Square-5, 90° downward
v. Now, fold Square-6, 90° left upward
Hence, by the above procedure we can form a cube with the given net.
(f)
i. Fold Square-3, 90° downwards
ii. Fold Square-4, 90° downwards
iii. Fold Square-5, 90° downwards
iv. Now, fold Square-2 90° left
v. Now, fold Square-6 90° left upward
Hence, by the above procedure we can form a cube with the given net.
(g)
i. Fold Square-2, 90° downwards
ii. Fold Square-3, 90° right
iii. Fold Square-4, 90° downwards
iv. Now, fold Square-5 90° left
v. Now, fold Square-6 90° straight upward
Hence, by the above procedure we can form a cube with the given net.
(h)
i. Fold Square-2, 90° downwards
ii. Fold Square-3, 90° downwards
iii. Fold Square-4, 90° downwards
iv. Now, fold Square-5 90° left
v. Now, fold Square-6 90° straight upward
Hence, by the above procedure we can form a cube with the given net.
(i)
i. Fold Square-2, 90° downwards
ii. Fold Square-3, 90° downwards
iii. Fold Square-4, 90° left of square-3
iv. Now, fold Square-5 90° downwards
v. Now, fold Square-6 90° right upward
Hence, by the above procedure we can form a cube with the given net.
(j)
i. Fold Square-2, 90° downwards
ii. Fold Square-3, 90° downwards
iii. Fold Square-4, 90° right to square-3
iv. Now, fold Square-5 90° right to square-4
v. Now, fold Square-6 90° left upward
Hence, by the above procedure we can form a cube with the given net.
(k)
i. Fold Square-6, 90° downwards
ii. Fold Square-5, 90° downwards
iii. Fold Square-4, 90° downwards
iv. Now, fold Square-3 90° downwards
v. Now, fold Square-1 90° downwards
Hence, by the above procedure we can form a cube with the given net.
Question 23.
Answer the following questions.
(a) Name the polyhedron which has four vertices, four faces?
(b) Name the solid object which has no vertex?
(c) Name the polyhedron which has 12 edges?
(d) Name the solid object which has one surface?
(e) How is a cube different from cuboid?
(f) Which two shapes have the same number of edges, vertices, and faces?
(g) Name the polyhedron which has 5 vertices and 5 faces?
Answer:
(a) A polyhedron with 4 vertices and 4 faces is tetrahedron.
(b) The only Solid object with no vertex is Sphere.
(c) The possible polyhedrons with 12 edges are a cube, cuboid, Hexagonal Pyramid.
(d) The Only solid object with 1 face is Sphere.
(e) Cube is a Regular Polyhedron (All faces are identical)
Whereas Cuboid is not a Regular Polyhedron (All faces are not identical)
(f) Cube and Cuboid have a same number of faces, edges, vertices.
That is 6 faces, 12 edges, 8 vertices.
(g) A Polyhedron with 5 vertices and 5 faces is square Pyramid.
Question 24.
Write the names of the objects given below.
(a) (b)
(c)
(d)
Answer:
(a) The given Object is Octagonal prism.
(b) The given Object is Hexagonal prism.
(c) The given Object is triangular prism.
(d) The given Object is Pentagonal Pyramid.