sail/symbolic-instruction-tuning huggingface dataset:
[Table] header: Name | Family name | Receptor | Coreceptor | Property | Chromosomal location row 1 : IL-1α | IL-1F1 | IL-1RI | IL-1RacP | Proinflammatory | 2q14
row 2 : IL-1β | IL-1F2 | IL-1RI | IL-1RacP | Proinflammatory | 2q14
row 3 : IL-1Ra | IL-1F3 | IL-1RI | NA | Antagonist for IL-1α, IL | 2q14.2
row 4 : IL-18 | IL-1F4 | IL-18Rα | IL-18Rβ | Proinflammatory | 11q22.2-q22.3
row 5 : IL-36Ra | IL-1F5 | IL-1Rrp2 | NA | Antagonist for IL-36α,  | 2q14
row 6 : IL-36α | IL-1F6 | IL-1Rrp2 | IL-1RAcP | Proinflammatory | 2q12 - q14.1
row 7 : IL-37 | IL-1F7 | Unknown | Unknown | Anti-inflammatory | 2q12 – q14.1
row 8 : IL-36β | IL-1F8 | IL-1Rrp2 | IL-1RAcP | Proinflammatory | 2q14
row 9 : IL-36γ | IL1-F9 | IL-1Rrp2 | IL-1RAcP | Proinflammatory | 2q12 – q21
row 10 : IL-38 | IL-1F10 | Unknown | Unknown | Unknown | 2q13 [/Table] Answer this question based on the above table: Where is il-36β located?

Answer: 2q14
[Table] header: Name | Family name | Receptor | Coreceptor | Property | Chromosomal location row 1 : IL-1α | IL-1F1 | IL-1RI | IL-1RacP | Proinflammatory | 2q14
row 2 : IL-1β | IL-1F2 | IL-1RI | IL-1RacP | Proinflammatory | 2q14
row 3 : IL-1Ra | IL-1F3 | IL-1RI | NA | Antagonist for IL-1α, IL | 2q14.2
row 4 : IL-18 | IL-1F4 | IL-18Rα | IL-18Rβ | Proinflammatory | 11q22.2-q22.3
row 5 : IL-36Ra | IL-1F5 | IL-1Rrp2 | NA | Antagonist for IL-36α,  | 2q14
row 6 : IL-36α | IL-1F6 | IL-1Rrp2 | IL-1RAcP | Proinflammatory | 2q12 - q14.1
row 7 : IL-37 | IL-1F7 | Unknown | Unknown | Anti-inflammatory | 2q12 – q14.1
row 8 : IL-36β | IL-1F8 | IL-1Rrp2 | IL-1RAcP | Proinflammatory | 2q14
row 9 : IL-36γ | IL1-F9 | IL-1Rrp2 | IL-1RAcP | Proinflammatory | 2q12 – q21
row 10 : IL-38 | IL-1F10 | Unknown | Unknown | Unknown | 2q13 [/Table] Answer this question based on the above table: What are the names listed in the family  il-1f2?

Answer: IL-1β
[Table] header: Name | Family name | Receptor | Coreceptor | Property | Chromosomal location row 1 : IL-1α | IL-1F1 | IL-1RI | IL-1RacP | Proinflammatory | 2q14
row 2 : IL-1β | IL-1F2 | IL-1RI | IL-1RacP | Proinflammatory | 2q14
row 3 : IL-1Ra | IL-1F3 | IL-1RI | NA | Antagonist for IL-1α, IL | 2q14.2
row 4 : IL-18 | IL-1F4 | IL-18Rα | IL-18Rβ | Proinflammatory | 11q22.2-q22.3
row 5 : IL-36Ra | IL-1F5 | IL-1Rrp2 | NA | Antagonist for IL-36α,  | 2q14
row 6 : IL-36α | IL-1F6 | IL-1Rrp2 | IL-1RAcP | Proinflammatory | 2q12 - q14.1
row 7 : IL-37 | IL-1F7 | Unknown | Unknown | Anti-inflammatory | 2q12 – q14.1
row 8 : IL-36β | IL-1F8 | IL-1Rrp2 | IL-1RAcP | Proinflammatory | 2q14
row 9 : IL-36γ | IL1-F9 | IL-1Rrp2 | IL-1RAcP | Proinflammatory | 2q12 – q21
row 10 : IL-38 | IL-1F10 | Unknown | Unknown | Unknown | 2q13 [/Table] Answer this question based on the above table: Which chromosomes have an unknown property?

Answer: IL-38
[Table] header: Rank | Country/Territory | Mister International | 1st runner-up | 2nd runner-up | 3rd runner-up | 4th runner-up | Semifinalists | Total row 1 : 1 | Lebanon | 2 | 1 | 1 | 0 | 1 | 0 | 5
row 2 : 2 | Brazil | 2 | 1 | 0 | 1 | 0 | 1 | 5
row 3 : 3 | Vietnam | 1 | 0 | 0 | 1 | 0 | 1 | 3
row 4 : 4 | Bolivia | 1 | 0 | 0 | 0 | 0 | 1 | 2
row 5 : 5 | Great Britain | 1 | 0 | 0 | 0 | 0 | 0 | 1
row 6 : 7 | Spain | 0 | 1 | 1 | 0 | 0 | 0 | 2
row 7 : 8 | Venezuela | 0 | 1 | 0 | 1 | 0 | 5 | 7
row 8 : 9 | Singapore | 0 | 1 | 0 | 0 | 0 | 4 | 5
row 9 : 10 | South Korea | 0 | 1 | 0 | 0 | 0 | 2 | 3
row 10 : 11 | Czech Republic | 0 | 1 | 0 | 0 | 0 | 0 | 1
row 11 : 12 | Greece | 0 | 0 | 2 | 0 | 1 | 1 | 4
row 12 : 13 | Indonesia | 0 | 0 | 1 | 1 | 0 | 4 | 6
row 13 : 14 | Slovenia | 0 | 0 | 1 | 0 | 0 | 3 | 4
row 14 : 15 | China | 0 | 0 | 1 | 0 | 0 | 0 | 1
row 15 : 16 | France | 0 | 0 | 0 | 1 | 0 | 2 | 3
row 16 : 17 | Latvia | 0 | 0 | 0 | 1 | 0 | 1 | 2
row 17 : 18 | Croatia | 0 | 0 | 0 | 1 | 0 | 0 | 1
row 18 : 19 | USA | 0 | 0 | 0 | 0 | 1 | 3 | 4
row 19 : 20 | Slovak Republic | 0 | 0 | 0 | 0 | 1 | 1 | 2
row 20 : 21 | Netherlands | 0 | 0 | 0 | 0 | 1 | 0 | 1
row 21 : 21 | Poland | 0 | 0 | 0 | 0 | 1 | 0 | 1
row 22 : 23 | Philippines | 0 | 0 | 0 | 0 | 0 | 4 | 4
row 23 : 24 | Belgium | 0 | 0 | 0 | 0 | 0 | 3 | 3
row 24 : 25 | India | 0 | 0 | 0 | 0 | 0 | 2 | 2
row 25 : 25 | Italy | 0 | 0 | 0 | 0 | 0 | 2 | 2
row 26 : 25 | Sri Lanka | 0 | 0 | 0 | 0 | 0 | 2 | 2
row 27 : 25 | Taiwan | 0 | 0 | 0 | 0 | 0 | 2 | 2
row 28 : 25 | Turkey | 0 | 0 | 0 | 0 | 0 | 2 | 2
row 29 : 30 | Austria | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 30 : 30 | Bosnia & Herzegovina | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 31 : 30 | Chile | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 32 : 30 | Colombia | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 33 : 30 | Costa Rica | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 34 : 30 | Denmark | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 35 : 30 | Ireland | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 36 : 30 | Macedonia | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 37 : 30 | Malaysia | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 38 : 30 | Mexico | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 39 : 30 | Namibia | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 40 : 30 | New Zealand | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 41 : 30 | Nigeria | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 42 : 30 | Norway | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 43 : 30 | Puerto Rico | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 44 : 30 | Serbia | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 45 : 30 | Sweden | 0 | 0 | 0 | 0 | 0 | 1 | 1 [/Table] Answer this question based on the above table: Name the least mister international

Answer: 0.0
[Table] header: Rank | Country/Territory | Mister International | 1st runner-up | 2nd runner-up | 3rd runner-up | 4th runner-up | Semifinalists | Total row 1 : 1 | Lebanon | 2 | 1 | 1 | 0 | 1 | 0 | 5
row 2 : 2 | Brazil | 2 | 1 | 0 | 1 | 0 | 1 | 5
row 3 : 3 | Vietnam | 1 | 0 | 0 | 1 | 0 | 1 | 3
row 4 : 4 | Bolivia | 1 | 0 | 0 | 0 | 0 | 1 | 2
row 5 : 5 | Great Britain | 1 | 0 | 0 | 0 | 0 | 0 | 1
row 6 : 7 | Spain | 0 | 1 | 1 | 0 | 0 | 0 | 2
row 7 : 8 | Venezuela | 0 | 1 | 0 | 1 | 0 | 5 | 7
row 8 : 9 | Singapore | 0 | 1 | 0 | 0 | 0 | 4 | 5
row 9 : 10 | South Korea | 0 | 1 | 0 | 0 | 0 | 2 | 3
row 10 : 11 | Czech Republic | 0 | 1 | 0 | 0 | 0 | 0 | 1
row 11 : 12 | Greece | 0 | 0 | 2 | 0 | 1 | 1 | 4
row 12 : 13 | Indonesia | 0 | 0 | 1 | 1 | 0 | 4 | 6
row 13 : 14 | Slovenia | 0 | 0 | 1 | 0 | 0 | 3 | 4
row 14 : 15 | China | 0 | 0 | 1 | 0 | 0 | 0 | 1
row 15 : 16 | France | 0 | 0 | 0 | 1 | 0 | 2 | 3
row 16 : 17 | Latvia | 0 | 0 | 0 | 1 | 0 | 1 | 2
row 17 : 18 | Croatia | 0 | 0 | 0 | 1 | 0 | 0 | 1
row 18 : 19 | USA | 0 | 0 | 0 | 0 | 1 | 3 | 4
row 19 : 20 | Slovak Republic | 0 | 0 | 0 | 0 | 1 | 1 | 2
row 20 : 21 | Netherlands | 0 | 0 | 0 | 0 | 1 | 0 | 1
row 21 : 21 | Poland | 0 | 0 | 0 | 0 | 1 | 0 | 1
row 22 : 23 | Philippines | 0 | 0 | 0 | 0 | 0 | 4 | 4
row 23 : 24 | Belgium | 0 | 0 | 0 | 0 | 0 | 3 | 3
row 24 : 25 | India | 0 | 0 | 0 | 0 | 0 | 2 | 2
row 25 : 25 | Italy | 0 | 0 | 0 | 0 | 0 | 2 | 2
row 26 : 25 | Sri Lanka | 0 | 0 | 0 | 0 | 0 | 2 | 2
row 27 : 25 | Taiwan | 0 | 0 | 0 | 0 | 0 | 2 | 2
row 28 : 25 | Turkey | 0 | 0 | 0 | 0 | 0 | 2 | 2
row 29 : 30 | Austria | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 30 : 30 | Bosnia & Herzegovina | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 31 : 30 | Chile | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 32 : 30 | Colombia | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 33 : 30 | Costa Rica | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 34 : 30 | Denmark | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 35 : 30 | Ireland | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 36 : 30 | Macedonia | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 37 : 30 | Malaysia | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 38 : 30 | Mexico | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 39 : 30 | Namibia | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 40 : 30 | New Zealand | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 41 : 30 | Nigeria | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 42 : 30 | Norway | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 43 : 30 | Puerto Rico | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 44 : 30 | Serbia | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 45 : 30 | Sweden | 0 | 0 | 0 | 0 | 0 | 1 | 1 [/Table] Answer this question based on the above table: Name the most total for south korea

Answer: 3.0
[Table] header: Rank | Country/Territory | Mister International | 1st runner-up | 2nd runner-up | 3rd runner-up | 4th runner-up | Semifinalists | Total row 1 : 1 | Lebanon | 2 | 1 | 1 | 0 | 1 | 0 | 5
row 2 : 2 | Brazil | 2 | 1 | 0 | 1 | 0 | 1 | 5
row 3 : 3 | Vietnam | 1 | 0 | 0 | 1 | 0 | 1 | 3
row 4 : 4 | Bolivia | 1 | 0 | 0 | 0 | 0 | 1 | 2
row 5 : 5 | Great Britain | 1 | 0 | 0 | 0 | 0 | 0 | 1
row 6 : 7 | Spain | 0 | 1 | 1 | 0 | 0 | 0 | 2
row 7 : 8 | Venezuela | 0 | 1 | 0 | 1 | 0 | 5 | 7
row 8 : 9 | Singapore | 0 | 1 | 0 | 0 | 0 | 4 | 5
row 9 : 10 | South Korea | 0 | 1 | 0 | 0 | 0 | 2 | 3
row 10 : 11 | Czech Republic | 0 | 1 | 0 | 0 | 0 | 0 | 1
row 11 : 12 | Greece | 0 | 0 | 2 | 0 | 1 | 1 | 4
row 12 : 13 | Indonesia | 0 | 0 | 1 | 1 | 0 | 4 | 6
row 13 : 14 | Slovenia | 0 | 0 | 1 | 0 | 0 | 3 | 4
row 14 : 15 | China | 0 | 0 | 1 | 0 | 0 | 0 | 1
row 15 : 16 | France | 0 | 0 | 0 | 1 | 0 | 2 | 3
row 16 : 17 | Latvia | 0 | 0 | 0 | 1 | 0 | 1 | 2
row 17 : 18 | Croatia | 0 | 0 | 0 | 1 | 0 | 0 | 1
row 18 : 19 | USA | 0 | 0 | 0 | 0 | 1 | 3 | 4
row 19 : 20 | Slovak Republic | 0 | 0 | 0 | 0 | 1 | 1 | 2
row 20 : 21 | Netherlands | 0 | 0 | 0 | 0 | 1 | 0 | 1
row 21 : 21 | Poland | 0 | 0 | 0 | 0 | 1 | 0 | 1
row 22 : 23 | Philippines | 0 | 0 | 0 | 0 | 0 | 4 | 4
row 23 : 24 | Belgium | 0 | 0 | 0 | 0 | 0 | 3 | 3
row 24 : 25 | India | 0 | 0 | 0 | 0 | 0 | 2 | 2
row 25 : 25 | Italy | 0 | 0 | 0 | 0 | 0 | 2 | 2
row 26 : 25 | Sri Lanka | 0 | 0 | 0 | 0 | 0 | 2 | 2
row 27 : 25 | Taiwan | 0 | 0 | 0 | 0 | 0 | 2 | 2
row 28 : 25 | Turkey | 0 | 0 | 0 | 0 | 0 | 2 | 2
row 29 : 30 | Austria | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 30 : 30 | Bosnia & Herzegovina | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 31 : 30 | Chile | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 32 : 30 | Colombia | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 33 : 30 | Costa Rica | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 34 : 30 | Denmark | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 35 : 30 | Ireland | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 36 : 30 | Macedonia | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 37 : 30 | Malaysia | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 38 : 30 | Mexico | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 39 : 30 | Namibia | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 40 : 30 | New Zealand | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 41 : 30 | Nigeria | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 42 : 30 | Norway | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 43 : 30 | Puerto Rico | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 44 : 30 | Serbia | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 45 : 30 | Sweden | 0 | 0 | 0 | 0 | 0 | 1 | 1 [/Table] Answer this question based on the above table: Name the semifinalists for singapore

Answer: 4.0
[Table] header: Rank | Country/Territory | Mister International | 1st runner-up | 2nd runner-up | 3rd runner-up | 4th runner-up | Semifinalists | Total row 1 : 1 | Lebanon | 2 | 1 | 1 | 0 | 1 | 0 | 5
row 2 : 2 | Brazil | 2 | 1 | 0 | 1 | 0 | 1 | 5
row 3 : 3 | Vietnam | 1 | 0 | 0 | 1 | 0 | 1 | 3
row 4 : 4 | Bolivia | 1 | 0 | 0 | 0 | 0 | 1 | 2
row 5 : 5 | Great Britain | 1 | 0 | 0 | 0 | 0 | 0 | 1
row 6 : 7 | Spain | 0 | 1 | 1 | 0 | 0 | 0 | 2
row 7 : 8 | Venezuela | 0 | 1 | 0 | 1 | 0 | 5 | 7
row 8 : 9 | Singapore | 0 | 1 | 0 | 0 | 0 | 4 | 5
row 9 : 10 | South Korea | 0 | 1 | 0 | 0 | 0 | 2 | 3
row 10 : 11 | Czech Republic | 0 | 1 | 0 | 0 | 0 | 0 | 1
row 11 : 12 | Greece | 0 | 0 | 2 | 0 | 1 | 1 | 4
row 12 : 13 | Indonesia | 0 | 0 | 1 | 1 | 0 | 4 | 6
row 13 : 14 | Slovenia | 0 | 0 | 1 | 0 | 0 | 3 | 4
row 14 : 15 | China | 0 | 0 | 1 | 0 | 0 | 0 | 1
row 15 : 16 | France | 0 | 0 | 0 | 1 | 0 | 2 | 3
row 16 : 17 | Latvia | 0 | 0 | 0 | 1 | 0 | 1 | 2
row 17 : 18 | Croatia | 0 | 0 | 0 | 1 | 0 | 0 | 1
row 18 : 19 | USA | 0 | 0 | 0 | 0 | 1 | 3 | 4
row 19 : 20 | Slovak Republic | 0 | 0 | 0 | 0 | 1 | 1 | 2
row 20 : 21 | Netherlands | 0 | 0 | 0 | 0 | 1 | 0 | 1
row 21 : 21 | Poland | 0 | 0 | 0 | 0 | 1 | 0 | 1
row 22 : 23 | Philippines | 0 | 0 | 0 | 0 | 0 | 4 | 4
row 23 : 24 | Belgium | 0 | 0 | 0 | 0 | 0 | 3 | 3
row 24 : 25 | India | 0 | 0 | 0 | 0 | 0 | 2 | 2
row 25 : 25 | Italy | 0 | 0 | 0 | 0 | 0 | 2 | 2
row 26 : 25 | Sri Lanka | 0 | 0 | 0 | 0 | 0 | 2 | 2
row 27 : 25 | Taiwan | 0 | 0 | 0 | 0 | 0 | 2 | 2
row 28 : 25 | Turkey | 0 | 0 | 0 | 0 | 0 | 2 | 2
row 29 : 30 | Austria | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 30 : 30 | Bosnia & Herzegovina | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 31 : 30 | Chile | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 32 : 30 | Colombia | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 33 : 30 | Costa Rica | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 34 : 30 | Denmark | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 35 : 30 | Ireland | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 36 : 30 | Macedonia | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 37 : 30 | Malaysia | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 38 : 30 | Mexico | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 39 : 30 | Namibia | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 40 : 30 | New Zealand | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 41 : 30 | Nigeria | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 42 : 30 | Norway | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 43 : 30 | Puerto Rico | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 44 : 30 | Serbia | 0 | 0 | 0 | 0 | 0 | 1 | 1
row 45 : 30 | Sweden | 0 | 0 | 0 | 0 | 0 | 1 | 1 [/Table] Answer this question based on the above table: Name the number of semifinalists for 19 rank

Answer: 1.0
[Table] header: Material | Type | Geometry | Output voltage | Output power | Synthesis | Researched at row 1 : ZnO (n-type) | Wurtzite | D: ~100nm, L: | V P =~9 mV @ R | ~0.5 pW per cycle (esti | CVD, hydrothermal process | Georgia Tech.
row 2 : ZnO (p-type) | Wurtzite | D: ~50nm, L: | V P =50~90 mV @ | 5~16.2 pW per cycle ( | CVD | Georgia Tech.
row 3 : ZnO-ZnS | Wurtzite (Heterostructure | Not stated | V P =~6 mV @ R | ~0.1 pW per cycle (calc | Thermal evaporation and etching | Georgia Tech.
row 4 : GaN | Wurtzite | D: 25~70nm, L: | V avg =~20 m | ~0.8 pW per cycle (average | CVD | Georgia Tech.
row 5 : CdS | Wurtzite | D: ~100nm, L: | V P =~3 mV | Not stated | PVD, Hydrothermal Process | Georgia Tech.
row 6 : BaTiO 3 | Pervoskite | D: ~280nm, L: | V P =~25 mV @ R | ~0.3 aJ per cycle (state | High temperature chemical reaction | UIUC [/Table] Answer this question based on the above table: Where was d: ~50nm, l: ~600nm geometry researched?

Answer: none
[Table] header: Material | Type | Geometry | Output voltage | Output power | Synthesis | Researched at row 1 : ZnO (n-type) | Wurtzite | D: ~100nm, L: | V P =~9 mV @ R | ~0.5 pW per cycle (esti | CVD, hydrothermal process | Georgia Tech.
row 2 : ZnO (p-type) | Wurtzite | D: ~50nm, L: | V P =50~90 mV @ | 5~16.2 pW per cycle ( | CVD | Georgia Tech.
row 3 : ZnO-ZnS | Wurtzite (Heterostructure | Not stated | V P =~6 mV @ R | ~0.1 pW per cycle (calc | Thermal evaporation and etching | Georgia Tech.
row 4 : GaN | Wurtzite | D: 25~70nm, L: | V avg =~20 m | ~0.8 pW per cycle (average | CVD | Georgia Tech.
row 5 : CdS | Wurtzite | D: ~100nm, L: | V P =~3 mV | Not stated | PVD, Hydrothermal Process | Georgia Tech.
row 6 : BaTiO 3 | Pervoskite | D: ~280nm, L: | V P =~25 mV @ R | ~0.3 aJ per cycle (state | High temperature chemical reaction | UIUC [/Table] Answer this question based on the above table: How many materials are there for output power of ~0.1 pw per cycle (calculated)?

Answer: 0.0
[Table] header: Material | Type | Geometry | Output voltage | Output power | Synthesis | Researched at row 1 : ZnO (n-type) | Wurtzite | D: ~100nm, L: | V P =~9 mV @ R | ~0.5 pW per cycle (esti | CVD, hydrothermal process | Georgia Tech.
row 2 : ZnO (p-type) | Wurtzite | D: ~50nm, L: | V P =50~90 mV @ | 5~16.2 pW per cycle ( | CVD | Georgia Tech.
row 3 : ZnO-ZnS | Wurtzite (Heterostructure | Not stated | V P =~6 mV @ R | ~0.1 pW per cycle (calc | Thermal evaporation and etching | Georgia Tech.
row 4 : GaN | Wurtzite | D: 25~70nm, L: | V avg =~20 m | ~0.8 pW per cycle (average | CVD | Georgia Tech.
row 5 : CdS | Wurtzite | D: ~100nm, L: | V P =~3 mV | Not stated | PVD, Hydrothermal Process | Georgia Tech.
row 6 : BaTiO 3 | Pervoskite | D: ~280nm, L: | V P =~25 mV @ R | ~0.3 aJ per cycle (state | High temperature chemical reaction | UIUC [/Table] Answer this question based on the above table: What is the output power for the v p =~3 mv output voltage?

Answer: Not stated
[Table] header: Material | Type | Geometry | Output voltage | Output power | Synthesis | Researched at row 1 : ZnO (n-type) | Wurtzite | D: ~100nm, L: | V P =~9 mV @ R | ~0.5 pW per cycle (esti | CVD, hydrothermal process | Georgia Tech.
row 2 : ZnO (p-type) | Wurtzite | D: ~50nm, L: | V P =50~90 mV @ | 5~16.2 pW per cycle ( | CVD | Georgia Tech.
row 3 : ZnO-ZnS | Wurtzite (Heterostructure | Not stated | V P =~6 mV @ R | ~0.1 pW per cycle (calc | Thermal evaporation and etching | Georgia Tech.
row 4 : GaN | Wurtzite | D: 25~70nm, L: | V avg =~20 m | ~0.8 pW per cycle (average | CVD | Georgia Tech.
row 5 : CdS | Wurtzite | D: ~100nm, L: | V P =~3 mV | Not stated | PVD, Hydrothermal Process | Georgia Tech.
row 6 : BaTiO 3 | Pervoskite | D: ~280nm, L: | V P =~25 mV @ R | ~0.3 aJ per cycle (state | High temperature chemical reaction | UIUC [/Table] Answer this question based on the above table: How many synthesis are there for 5~16.2 pw per cycle (calculated) output power?

Answer: 0.0
[Table] header: Material | Type | Geometry | Output voltage | Output power | Synthesis | Researched at row 1 : ZnO (n-type) | Wurtzite | D: ~100nm, L: | V P =~9 mV @ R | ~0.5 pW per cycle (esti | CVD, hydrothermal process | Georgia Tech.
row 2 : ZnO (p-type) | Wurtzite | D: ~50nm, L: | V P =50~90 mV @ | 5~16.2 pW per cycle ( | CVD | Georgia Tech.
row 3 : ZnO-ZnS | Wurtzite (Heterostructure | Not stated | V P =~6 mV @ R | ~0.1 pW per cycle (calc | Thermal evaporation and etching | Georgia Tech.
row 4 : GaN | Wurtzite | D: 25~70nm, L: | V avg =~20 m | ~0.8 pW per cycle (average | CVD | Georgia Tech.
row 5 : CdS | Wurtzite | D: ~100nm, L: | V P =~3 mV | Not stated | PVD, Hydrothermal Process | Georgia Tech.
row 6 : BaTiO 3 | Pervoskite | D: ~280nm, L: | V P =~25 mV @ R | ~0.3 aJ per cycle (state | High temperature chemical reaction | UIUC [/Table] Answer this question based on the above table: Where was d: ~100nm, l: 1 μm geometry researched?

Answer: none
[Table] header: Material | Type | Geometry | Output voltage | Output power | Synthesis | Researched at row 1 : ZnO (n-type) | Wurtzite | D: ~100nm, L: | V P =~9 mV @ R | ~0.5 pW per cycle (esti | CVD, hydrothermal process | Georgia Tech.
row 2 : ZnO (p-type) | Wurtzite | D: ~50nm, L: | V P =50~90 mV @ | 5~16.2 pW per cycle ( | CVD | Georgia Tech.
row 3 : ZnO-ZnS | Wurtzite (Heterostructure | Not stated | V P =~6 mV @ R | ~0.1 pW per cycle (calc | Thermal evaporation and etching | Georgia Tech.
row 4 : GaN | Wurtzite | D: 25~70nm, L: | V avg =~20 m | ~0.8 pW per cycle (average | CVD | Georgia Tech.
row 5 : CdS | Wurtzite | D: ~100nm, L: | V P =~3 mV | Not stated | PVD, Hydrothermal Process | Georgia Tech.
row 6 : BaTiO 3 | Pervoskite | D: ~280nm, L: | V P =~25 mV @ R | ~0.3 aJ per cycle (state | High temperature chemical reaction | UIUC [/Table] Answer this question based on the above table: Where was d: 25~70nm, l: 10~20 μm geometry researched?

Answer: none
[Table] header: Route Number | Origin | Intermediate stops | Destination | Provider row 1 : 318 | Birmingham | Cheltenham, Gloucester | Bristol | National Express
row 2 : 325 | Birmingham | Wolverhampton , Stoke-on | Manchester | National Express
row 3 : 545 | London | Milton Keynes , Birmingham, Stoke-on | Pwhelli | National Express
row 4 : 550 | London | Birmingham, Stoke-on-Trent, Wa | Liverpool | National Express
row 5 : 570 | London | Milton Keynes , Birmingham, St Helens | Blackpool | National Express [/Table] Answer this question based on the above table: Who are all providers with destination of Liverpool?

Answer: National Express
[Table] header: Route Number | Origin | Intermediate stops | Destination | Provider row 1 : 318 | Birmingham | Cheltenham, Gloucester | Bristol | National Express
row 2 : 325 | Birmingham | Wolverhampton , Stoke-on | Manchester | National Express
row 3 : 545 | London | Milton Keynes , Birmingham, Stoke-on | Pwhelli | National Express
row 4 : 550 | London | Birmingham, Stoke-on-Trent, Wa | Liverpool | National Express
row 5 : 570 | London | Milton Keynes , Birmingham, St Helens | Blackpool | National Express [/Table] Answer this question based on the above table: What is every entry for intermediate stops for the destination of Manchester?

Answer: Wolverhampton , Stoke-on
[Table] header: Route Number | Origin | Intermediate stops | Destination | Provider row 1 : 318 | Birmingham | Cheltenham, Gloucester | Bristol | National Express
row 2 : 325 | Birmingham | Wolverhampton , Stoke-on | Manchester | National Express
row 3 : 545 | London | Milton Keynes , Birmingham, Stoke-on | Pwhelli | National Express
row 4 : 550 | London | Birmingham, Stoke-on-Trent, Wa | Liverpool | National Express
row 5 : 570 | London | Milton Keynes , Birmingham, St Helens | Blackpool | National Express [/Table] Answer this question based on the above table: How many route numbers occur for the origin of Birmingham and destination of Bristol?

Answer: 1.0
[Table] header: Route Number | Origin | Intermediate stops | Destination | Provider row 1 : 318 | Birmingham | Cheltenham, Gloucester | Bristol | National Express
row 2 : 325 | Birmingham | Wolverhampton , Stoke-on | Manchester | National Express
row 3 : 545 | London | Milton Keynes , Birmingham, Stoke-on | Pwhelli | National Express
row 4 : 550 | London | Birmingham, Stoke-on-Trent, Wa | Liverpool | National Express
row 5 : 570 | London | Milton Keynes , Birmingham, St Helens | Blackpool | National Express [/Table] Answer this question based on the above table: What is every origin for the destination of Manchester?

Answer: Birmingham
[Table] header: Route Number | Origin | Intermediate stops | Destination | Provider row 1 : 318 | Birmingham | Cheltenham, Gloucester | Bristol | National Express
row 2 : 325 | Birmingham | Wolverhampton , Stoke-on | Manchester | National Express
row 3 : 545 | London | Milton Keynes , Birmingham, Stoke-on | Pwhelli | National Express
row 4 : 550 | London | Birmingham, Stoke-on-Trent, Wa | Liverpool | National Express
row 5 : 570 | London | Milton Keynes , Birmingham, St Helens | Blackpool | National Express [/Table] Answer this question based on the above table: How many providers have a destination of Blackpool?

Answer: 1.0
[Table] header: Year | Starts | Wins | Top 5 | Top 10 | Poles | Avg. Start | Avg. Finish | Winnings | Position | Team(s) row 1 : 2003 | 12 | 0 | 0 | 0 | 0 | 26.6 | 24.9 | $114,940 | 26th | Team Racing Pro Motion Motorsports
row 2 : 2005 | 1 | 0 | 0 | 0 | 0 | 31.0 | 16.0 | $12,190 | 75th | Glynn Motorsports
row 3 : 2006 | 1 | 0 | 0 | 0 | 0 | 24.0 | 21.0 | $10,065 | 77th | SS-Green Light Racing
row 4 : 2007 | 16 | 0 | 0 | 1 | 0 | 16.9 | 21.7 | $172,625 | 22nd | Roush Fenway Racing
row 5 : 2008 | 17 | 0 | 0 | 7 | 0 | 19.5 | 17.4 | $195,470 | 22nd | TRG Motorsports
row 6 : 2009 | 25 | 0 | 1 | 5 | 0 | 16.8 | 17.7 | $352,069 | 15th | Red Horse Racing
row 7 : 2010 | 3 | 0 | 0 | 0 | 0 | 23.0 | 24.0 | $22,575 | 68th | MAKE Motorsports
row 8 : 2011 | 4 | 0 | 0 | 0 | 0 | 28.0 | 29.0 | $31,300 | 74th 1 | MAKE Motorsports Jennifer Jo Cobb Racing [/Table] Answer this question based on the above table: What is the maximum number of starts?

Answer: 25.0
[Table] header: Year | Starts | Wins | Top 5 | Top 10 | Poles | Avg. Start | Avg. Finish | Winnings | Position | Team(s) row 1 : 2003 | 12 | 0 | 0 | 0 | 0 | 26.6 | 24.9 | $114,940 | 26th | Team Racing Pro Motion Motorsports
row 2 : 2005 | 1 | 0 | 0 | 0 | 0 | 31.0 | 16.0 | $12,190 | 75th | Glynn Motorsports
row 3 : 2006 | 1 | 0 | 0 | 0 | 0 | 24.0 | 21.0 | $10,065 | 77th | SS-Green Light Racing
row 4 : 2007 | 16 | 0 | 0 | 1 | 0 | 16.9 | 21.7 | $172,625 | 22nd | Roush Fenway Racing
row 5 : 2008 | 17 | 0 | 0 | 7 | 0 | 19.5 | 17.4 | $195,470 | 22nd | TRG Motorsports
row 6 : 2009 | 25 | 0 | 1 | 5 | 0 | 16.8 | 17.7 | $352,069 | 15th | Red Horse Racing
row 7 : 2010 | 3 | 0 | 0 | 0 | 0 | 23.0 | 24.0 | $22,575 | 68th | MAKE Motorsports
row 8 : 2011 | 4 | 0 | 0 | 0 | 0 | 28.0 | 29.0 | $31,300 | 74th 1 | MAKE Motorsports Jennifer Jo Cobb Racing [/Table] Answer this question based on the above table: What is the maximum number of poles?

Answer: 0.0
[Table] header: Year | Starts | Wins | Top 5 | Top 10 | Poles | Avg. Start | Avg. Finish | Winnings | Position | Team(s) row 1 : 2003 | 12 | 0 | 0 | 0 | 0 | 26.6 | 24.9 | $114,940 | 26th | Team Racing Pro Motion Motorsports
row 2 : 2005 | 1 | 0 | 0 | 0 | 0 | 31.0 | 16.0 | $12,190 | 75th | Glynn Motorsports
row 3 : 2006 | 1 | 0 | 0 | 0 | 0 | 24.0 | 21.0 | $10,065 | 77th | SS-Green Light Racing
row 4 : 2007 | 16 | 0 | 0 | 1 | 0 | 16.9 | 21.7 | $172,625 | 22nd | Roush Fenway Racing
row 5 : 2008 | 17 | 0 | 0 | 7 | 0 | 19.5 | 17.4 | $195,470 | 22nd | TRG Motorsports
row 6 : 2009 | 25 | 0 | 1 | 5 | 0 | 16.8 | 17.7 | $352,069 | 15th | Red Horse Racing
row 7 : 2010 | 3 | 0 | 0 | 0 | 0 | 23.0 | 24.0 | $22,575 | 68th | MAKE Motorsports
row 8 : 2011 | 4 | 0 | 0 | 0 | 0 | 28.0 | 29.0 | $31,300 | 74th 1 | MAKE Motorsports Jennifer Jo Cobb Racing [/Table] Answer this question based on the above table: What is the minimum number of poles?

Answer: 0.0
[Table] header: Season | Date | Location | Discipline | Position | FIS points row 1 : 2010 | 20 Dec 2010 | Spindleruv Mlyn , Czech | Slalom | 1 | 3910
row 2 : 2010 | 19 Jan 2010 | Vratna , Slovakia | Slalom | 1 | 4447
row 3 : 2011 | 27 Nov 2010 | Levi , Finland | Slalom | 3 | 3366
row 4 : 2011 | 19 Dec 2010 | Spindleruv Mlyn, Czech Republic | Giant slalom | 2 | 5144
row 5 : 2011 | 20 Dec 2010 | Spindleruv Mlyn, Czech Republic | Slalom | 1 | 3595
row 6 : 2011 | 7 Jan 2011 | Liptovska Teplicka , Slovakia | Giant slalom | 2 | 5719
row 7 : 2012 | 20 Dec 2011 | Solda , Italia | Giant slalom | 3 | 3732
row 8 : 2012 | 20 Jan 2012 | Hafjell Olympiabakken , Norway | Super combined | 2 | 4780
row 9 : 2012 | 11 Feb 2012 | Lenggries , Germany | Slalom | 1 | 2553
row 10 : 2012 | 12 Feb 2012 | Gaal , Austria | Slalom | 1 | 1713
row 11 : 2012 | 25 Mar 2012 | Hafjell Olympiabakken, Norway | Slalom | 2 | 1455
row 12 : 2013 | 25 Jan 2013 | Hafjell Olympiabakken , Norway | Super Combined | 2 | 5221
row 13 : 2013 | 11 Feb 2013 | Wildhaus , Switzerland | Slalom | 3 | 1561
row 14 : 2013 | 14 Feb 2013 | Schladming , Austria | Giant slalom | 2 | 2236
row 15 : 2013 | 13 Mar 2013 | S. Valentino Alla Muta , | Slalom | 3 | 2251
row 16 : 2013 | 13 Mar 2013 | Vratna , Slovakia | Giant slalom | 2 | 3495
row 17 : 2013 | 14 Mar 2013 | Vratna , Slovakia | Giant slalom | 1 | 3183
row 18 : 2013 | 28 Mar 2013 | Jasna , Slovakia | Giant slalom | 3 | 3190
row 19 : 2013 | 4 Apr 2013 | Kirovsk , Russia | Slalom | 3 | 1130 [/Table] Answer this question based on the above table: Name the date for  s. valentino alla muta , italia

Answer: none
[Table] header: Season | Date | Location | Discipline | Position | FIS points row 1 : 2010 | 20 Dec 2010 | Spindleruv Mlyn , Czech | Slalom | 1 | 3910
row 2 : 2010 | 19 Jan 2010 | Vratna , Slovakia | Slalom | 1 | 4447
row 3 : 2011 | 27 Nov 2010 | Levi , Finland | Slalom | 3 | 3366
row 4 : 2011 | 19 Dec 2010 | Spindleruv Mlyn, Czech Republic | Giant slalom | 2 | 5144
row 5 : 2011 | 20 Dec 2010 | Spindleruv Mlyn, Czech Republic | Slalom | 1 | 3595
row 6 : 2011 | 7 Jan 2011 | Liptovska Teplicka , Slovakia | Giant slalom | 2 | 5719
row 7 : 2012 | 20 Dec 2011 | Solda , Italia | Giant slalom | 3 | 3732
row 8 : 2012 | 20 Jan 2012 | Hafjell Olympiabakken , Norway | Super combined | 2 | 4780
row 9 : 2012 | 11 Feb 2012 | Lenggries , Germany | Slalom | 1 | 2553
row 10 : 2012 | 12 Feb 2012 | Gaal , Austria | Slalom | 1 | 1713
row 11 : 2012 | 25 Mar 2012 | Hafjell Olympiabakken, Norway | Slalom | 2 | 1455
row 12 : 2013 | 25 Jan 2013 | Hafjell Olympiabakken , Norway | Super Combined | 2 | 5221
row 13 : 2013 | 11 Feb 2013 | Wildhaus , Switzerland | Slalom | 3 | 1561
row 14 : 2013 | 14 Feb 2013 | Schladming , Austria | Giant slalom | 2 | 2236
row 15 : 2013 | 13 Mar 2013 | S. Valentino Alla Muta , | Slalom | 3 | 2251
row 16 : 2013 | 13 Mar 2013 | Vratna , Slovakia | Giant slalom | 2 | 3495
row 17 : 2013 | 14 Mar 2013 | Vratna , Slovakia | Giant slalom | 1 | 3183
row 18 : 2013 | 28 Mar 2013 | Jasna , Slovakia | Giant slalom | 3 | 3190
row 19 : 2013 | 4 Apr 2013 | Kirovsk , Russia | Slalom | 3 | 1130 [/Table] Answer this question based on the above table: Name the date for 2011 and position larger than 2.0

Answer: 27 Nov 2010
[Table] header: Season | Date | Location | Discipline | Position | FIS points row 1 : 2010 | 20 Dec 2010 | Spindleruv Mlyn , Czech | Slalom | 1 | 3910
row 2 : 2010 | 19 Jan 2010 | Vratna , Slovakia | Slalom | 1 | 4447
row 3 : 2011 | 27 Nov 2010 | Levi , Finland | Slalom | 3 | 3366
row 4 : 2011 | 19 Dec 2010 | Spindleruv Mlyn, Czech Republic | Giant slalom | 2 | 5144
row 5 : 2011 | 20 Dec 2010 | Spindleruv Mlyn, Czech Republic | Slalom | 1 | 3595
row 6 : 2011 | 7 Jan 2011 | Liptovska Teplicka , Slovakia | Giant slalom | 2 | 5719
row 7 : 2012 | 20 Dec 2011 | Solda , Italia | Giant slalom | 3 | 3732
row 8 : 2012 | 20 Jan 2012 | Hafjell Olympiabakken , Norway | Super combined | 2 | 4780
row 9 : 2012 | 11 Feb 2012 | Lenggries , Germany | Slalom | 1 | 2553
row 10 : 2012 | 12 Feb 2012 | Gaal , Austria | Slalom | 1 | 1713
row 11 : 2012 | 25 Mar 2012 | Hafjell Olympiabakken, Norway | Slalom | 2 | 1455
row 12 : 2013 | 25 Jan 2013 | Hafjell Olympiabakken , Norway | Super Combined | 2 | 5221
row 13 : 2013 | 11 Feb 2013 | Wildhaus , Switzerland | Slalom | 3 | 1561
row 14 : 2013 | 14 Feb 2013 | Schladming , Austria | Giant slalom | 2 | 2236
row 15 : 2013 | 13 Mar 2013 | S. Valentino Alla Muta , | Slalom | 3 | 2251
row 16 : 2013 | 13 Mar 2013 | Vratna , Slovakia | Giant slalom | 2 | 3495
row 17 : 2013 | 14 Mar 2013 | Vratna , Slovakia | Giant slalom | 1 | 3183
row 18 : 2013 | 28 Mar 2013 | Jasna , Slovakia | Giant slalom | 3 | 3190
row 19 : 2013 | 4 Apr 2013 | Kirovsk , Russia | Slalom | 3 | 1130 [/Table] Answer this question based on the above table: Name the discipline for 1561 fis points

Answer: Slalom
[Table] header: Season | Date | Location | Discipline | Position | FIS points row 1 : 2010 | 20 Dec 2010 | Spindleruv Mlyn , Czech | Slalom | 1 | 3910
row 2 : 2010 | 19 Jan 2010 | Vratna , Slovakia | Slalom | 1 | 4447
row 3 : 2011 | 27 Nov 2010 | Levi , Finland | Slalom | 3 | 3366
row 4 : 2011 | 19 Dec 2010 | Spindleruv Mlyn, Czech Republic | Giant slalom | 2 | 5144
row 5 : 2011 | 20 Dec 2010 | Spindleruv Mlyn, Czech Republic | Slalom | 1 | 3595
row 6 : 2011 | 7 Jan 2011 | Liptovska Teplicka , Slovakia | Giant slalom | 2 | 5719
row 7 : 2012 | 20 Dec 2011 | Solda , Italia | Giant slalom | 3 | 3732
row 8 : 2012 | 20 Jan 2012 | Hafjell Olympiabakken , Norway | Super combined | 2 | 4780
row 9 : 2012 | 11 Feb 2012 | Lenggries , Germany | Slalom | 1 | 2553
row 10 : 2012 | 12 Feb 2012 | Gaal , Austria | Slalom | 1 | 1713
row 11 : 2012 | 25 Mar 2012 | Hafjell Olympiabakken, Norway | Slalom | 2 | 1455
row 12 : 2013 | 25 Jan 2013 | Hafjell Olympiabakken , Norway | Super Combined | 2 | 5221
row 13 : 2013 | 11 Feb 2013 | Wildhaus , Switzerland | Slalom | 3 | 1561
row 14 : 2013 | 14 Feb 2013 | Schladming , Austria | Giant slalom | 2 | 2236
row 15 : 2013 | 13 Mar 2013 | S. Valentino Alla Muta , | Slalom | 3 | 2251
row 16 : 2013 | 13 Mar 2013 | Vratna , Slovakia | Giant slalom | 2 | 3495
row 17 : 2013 | 14 Mar 2013 | Vratna , Slovakia | Giant slalom | 1 | 3183
row 18 : 2013 | 28 Mar 2013 | Jasna , Slovakia | Giant slalom | 3 | 3190
row 19 : 2013 | 4 Apr 2013 | Kirovsk , Russia | Slalom | 3 | 1130 [/Table] Answer this question based on the above table: Name the position for fis points being 3495

Answer: 2.0
[Table] header: Umpire | Country | Panel | Matches | WC Matches | 2011 WC row 1 : Asad Rauf | Pakistan | Elite Panel of ICC Umpires | 83 | 8 | 5
row 2 : Billy Bowden | New Zealand | Elite Panel of ICC Umpires | 150 | 16 | 5
row 3 : Billy Doctrove | West Indies | Elite Panel of ICC Umpires | 101 | 8 | 5
row 4 : Aleem Dar | Pakistan | Elite Panel of ICC Umpires | 138 | 14 | 8
row 5 : Simon Taufel | Australia | Elite Panel of ICC Umpires | 159 | 15 | 8
row 6 : Steve Davis | Australia | Elite Panel of ICC Umpires | 97 | 3 | 7
row 7 : Tony Hill | New Zealand | Elite Panel of ICC Umpires | 79 | 3 | 5
row 8 : Asoka de Silva | Sri Lanka | Elite Panel of ICC Umpires | 110 | 10 | 4
row 9 : Ian Gould | England | Elite Panel of ICC Umpires | 48 | 3 | 7
row 10 : Daryl Harper | Australia | Elite Panel of ICC Umpires | 169 | 16 | 5
row 11 : Marais Erasmus | South Africa | Elite Panel of ICC Umpires | 26 | 0 | 6
row 12 : Rod Tucker | Australia | Elite Panel of ICC Umpires | 18 | 0 | 6
row 13 : Shavir Tarapore | India | International Panel of Umpires and Refere | 16 | 0 | 4
row 14 : Bruce Oxenford | Australia | International Panel of Umpires and Refere | 21 | 1 | 5
row 15 : Amiesh Saheba | India | International Panel of Umpires and Refere | 47 | 0 | 4
row 16 : Richard Kettleborough | England | International Panel of Umpires and Refere | 12 | 0 | 4
row 17 : Nigel Llong | England | International Panel of Umpires and Refere | 39 | 0 | 5
row 18 : Kumar Dharmasena | Sri Lanka | International Panel of Umpires and Refere | 20 | 1 | 5 [/Table] Answer this question based on the above table: who was the umpire when the wc match was 10

Answer: Asoka de Silva
[Table] header: Umpire | Country | Panel | Matches | WC Matches | 2011 WC row 1 : Asad Rauf | Pakistan | Elite Panel of ICC Umpires | 83 | 8 | 5
row 2 : Billy Bowden | New Zealand | Elite Panel of ICC Umpires | 150 | 16 | 5
row 3 : Billy Doctrove | West Indies | Elite Panel of ICC Umpires | 101 | 8 | 5
row 4 : Aleem Dar | Pakistan | Elite Panel of ICC Umpires | 138 | 14 | 8
row 5 : Simon Taufel | Australia | Elite Panel of ICC Umpires | 159 | 15 | 8
row 6 : Steve Davis | Australia | Elite Panel of ICC Umpires | 97 | 3 | 7
row 7 : Tony Hill | New Zealand | Elite Panel of ICC Umpires | 79 | 3 | 5
row 8 : Asoka de Silva | Sri Lanka | Elite Panel of ICC Umpires | 110 | 10 | 4
row 9 : Ian Gould | England | Elite Panel of ICC Umpires | 48 | 3 | 7
row 10 : Daryl Harper | Australia | Elite Panel of ICC Umpires | 169 | 16 | 5
row 11 : Marais Erasmus | South Africa | Elite Panel of ICC Umpires | 26 | 0 | 6
row 12 : Rod Tucker | Australia | Elite Panel of ICC Umpires | 18 | 0 | 6
row 13 : Shavir Tarapore | India | International Panel of Umpires and Refere | 16 | 0 | 4
row 14 : Bruce Oxenford | Australia | International Panel of Umpires and Refere | 21 | 1 | 5
row 15 : Amiesh Saheba | India | International Panel of Umpires and Refere | 47 | 0 | 4
row 16 : Richard Kettleborough | England | International Panel of Umpires and Refere | 12 | 0 | 4
row 17 : Nigel Llong | England | International Panel of Umpires and Refere | 39 | 0 | 5
row 18 : Kumar Dharmasena | Sri Lanka | International Panel of Umpires and Refere | 20 | 1 | 5 [/Table] Answer this question based on the above table: what is the number of the wc matches if the matches were 79

Answer: 3.0
[Table] header: Umpire | Country | Panel | Matches | WC Matches | 2011 WC row 1 : Asad Rauf | Pakistan | Elite Panel of ICC Umpires | 83 | 8 | 5
row 2 : Billy Bowden | New Zealand | Elite Panel of ICC Umpires | 150 | 16 | 5
row 3 : Billy Doctrove | West Indies | Elite Panel of ICC Umpires | 101 | 8 | 5
row 4 : Aleem Dar | Pakistan | Elite Panel of ICC Umpires | 138 | 14 | 8
row 5 : Simon Taufel | Australia | Elite Panel of ICC Umpires | 159 | 15 | 8
row 6 : Steve Davis | Australia | Elite Panel of ICC Umpires | 97 | 3 | 7
row 7 : Tony Hill | New Zealand | Elite Panel of ICC Umpires | 79 | 3 | 5
row 8 : Asoka de Silva | Sri Lanka | Elite Panel of ICC Umpires | 110 | 10 | 4
row 9 : Ian Gould | England | Elite Panel of ICC Umpires | 48 | 3 | 7
row 10 : Daryl Harper | Australia | Elite Panel of ICC Umpires | 169 | 16 | 5
row 11 : Marais Erasmus | South Africa | Elite Panel of ICC Umpires | 26 | 0 | 6
row 12 : Rod Tucker | Australia | Elite Panel of ICC Umpires | 18 | 0 | 6
row 13 : Shavir Tarapore | India | International Panel of Umpires and Refere | 16 | 0 | 4
row 14 : Bruce Oxenford | Australia | International Panel of Umpires and Refere | 21 | 1 | 5
row 15 : Amiesh Saheba | India | International Panel of Umpires and Refere | 47 | 0 | 4
row 16 : Richard Kettleborough | England | International Panel of Umpires and Refere | 12 | 0 | 4
row 17 : Nigel Llong | England | International Panel of Umpires and Refere | 39 | 0 | 5
row 18 : Kumar Dharmasena | Sri Lanka | International Panel of Umpires and Refere | 20 | 1 | 5 [/Table] Answer this question based on the above table: in which country whe wc maches was 15

Answer: Australia
[Table] header: Umpire | Country | Panel | Matches | WC Matches | 2011 WC row 1 : Asad Rauf | Pakistan | Elite Panel of ICC Umpires | 83 | 8 | 5
row 2 : Billy Bowden | New Zealand | Elite Panel of ICC Umpires | 150 | 16 | 5
row 3 : Billy Doctrove | West Indies | Elite Panel of ICC Umpires | 101 | 8 | 5
row 4 : Aleem Dar | Pakistan | Elite Panel of ICC Umpires | 138 | 14 | 8
row 5 : Simon Taufel | Australia | Elite Panel of ICC Umpires | 159 | 15 | 8
row 6 : Steve Davis | Australia | Elite Panel of ICC Umpires | 97 | 3 | 7
row 7 : Tony Hill | New Zealand | Elite Panel of ICC Umpires | 79 | 3 | 5
row 8 : Asoka de Silva | Sri Lanka | Elite Panel of ICC Umpires | 110 | 10 | 4
row 9 : Ian Gould | England | Elite Panel of ICC Umpires | 48 | 3 | 7
row 10 : Daryl Harper | Australia | Elite Panel of ICC Umpires | 169 | 16 | 5
row 11 : Marais Erasmus | South Africa | Elite Panel of ICC Umpires | 26 | 0 | 6
row 12 : Rod Tucker | Australia | Elite Panel of ICC Umpires | 18 | 0 | 6
row 13 : Shavir Tarapore | India | International Panel of Umpires and Refere | 16 | 0 | 4
row 14 : Bruce Oxenford | Australia | International Panel of Umpires and Refere | 21 | 1 | 5
row 15 : Amiesh Saheba | India | International Panel of Umpires and Refere | 47 | 0 | 4
row 16 : Richard Kettleborough | England | International Panel of Umpires and Refere | 12 | 0 | 4
row 17 : Nigel Llong | England | International Panel of Umpires and Refere | 39 | 0 | 5
row 18 : Kumar Dharmasena | Sri Lanka | International Panel of Umpires and Refere | 20 | 1 | 5 [/Table] Answer this question based on the above table: what is the number of the least matches

Answer: 12.0
[Table] header: Umpire | Country | Panel | Matches | WC Matches | 2011 WC row 1 : Asad Rauf | Pakistan | Elite Panel of ICC Umpires | 83 | 8 | 5
row 2 : Billy Bowden | New Zealand | Elite Panel of ICC Umpires | 150 | 16 | 5
row 3 : Billy Doctrove | West Indies | Elite Panel of ICC Umpires | 101 | 8 | 5
row 4 : Aleem Dar | Pakistan | Elite Panel of ICC Umpires | 138 | 14 | 8
row 5 : Simon Taufel | Australia | Elite Panel of ICC Umpires | 159 | 15 | 8
row 6 : Steve Davis | Australia | Elite Panel of ICC Umpires | 97 | 3 | 7
row 7 : Tony Hill | New Zealand | Elite Panel of ICC Umpires | 79 | 3 | 5
row 8 : Asoka de Silva | Sri Lanka | Elite Panel of ICC Umpires | 110 | 10 | 4
row 9 : Ian Gould | England | Elite Panel of ICC Umpires | 48 | 3 | 7
row 10 : Daryl Harper | Australia | Elite Panel of ICC Umpires | 169 | 16 | 5
row 11 : Marais Erasmus | South Africa | Elite Panel of ICC Umpires | 26 | 0 | 6
row 12 : Rod Tucker | Australia | Elite Panel of ICC Umpires | 18 | 0 | 6
row 13 : Shavir Tarapore | India | International Panel of Umpires and Refere | 16 | 0 | 4
row 14 : Bruce Oxenford | Australia | International Panel of Umpires and Refere | 21 | 1 | 5
row 15 : Amiesh Saheba | India | International Panel of Umpires and Refere | 47 | 0 | 4
row 16 : Richard Kettleborough | England | International Panel of Umpires and Refere | 12 | 0 | 4
row 17 : Nigel Llong | England | International Panel of Umpires and Refere | 39 | 0 | 5
row 18 : Kumar Dharmasena | Sri Lanka | International Panel of Umpires and Refere | 20 | 1 | 5 [/Table] Answer this question based on the above table: if the matches are 16 what is the wc matches

Answer: 0.0
[Table] header: Townland | Area( acres ) | Barony | Civil parish | Poor law union row 1 : Ballincurrig | 281 | Courceys | Ringrone | Kinsale
row 2 : Ballinroe | 110 | Courceys | Ringrone | Kinsale
row 3 : Ballinspittle | 12 | Courceys | Ringrone | Kinsale
row 4 : Ballinvredig | 248 | Courceys | Ringrone | Kinsale
row 5 : Ballycatteen | 325 | Courceys | Templetrine | Kinsale
row 6 : Ballyhander | 303 | Courceys | Ringrone | Kinsale
row 7 : Ballymackean | 295 | Courceys | Ringrone | Kinsale
row 8 : Ballymacredmond | 61 | Courceys | Ringrone | Kinsale
row 9 : Ballynagaragh | 297 | Courceys | Templetrine | Kinsale
row 10 : Ballyrub | 57 | Courceys | Ringrone | Kinsale
row 11 : Carrigvulleen | 251 | Courceys | Ringrone | Kinsale
row 12 : Coolbane | 355 | Courceys | Ringrone | Kinsale
row 13 : Coolyrahilly | 190 | Courceys | Ringrone | Kinsale
row 14 : Courtaparteen | 153 | Courceys | Kilroan | Kinsale
row 15 : Crohane | 124 | Courceys | Kilroan | Kinsale
row 16 : Currahoo | 273 | Courceys | Ringrone | Kinsale
row 17 : Dooneen Lower | 161 | Courceys | Kilroan | Kinsale
row 18 : Dooneen Upper | 117 | Courceys | Kilroan | Kinsale
row 19 : Downmacpatrick (or Oldhead) | 202 | Courceys | Ringrone | Kinsale
row 20 : Dromdough | 332 | Courceys | Ringrone | Kinsale
row 21 : Garrettstown | 967 | Courceys | Templetrine | Kinsale
row 22 : Garrylucas | 151 | Courceys | Ringrone | Kinsale
row 23 : Gortnacrusha North | 279 | Courceys | Templetrine | Kinsale
row 24 : Gortnacrusha South | 257 | Courceys | Templetrine | Kinsale
row 25 : Kilcolman | 305 | Courceys | Ringrone | Kinsale
row 26 : Kilkerran North | 260 | Courceys | Ringrone | Kinsale
row 27 : Kilkerran South | 230 | Courceys | Ringrone | Kinsale
row 28 : Killowny | 230 | Courceys | Kilroan | Kinsale
row 29 : Kilmore | 418 | Courceys | Templetrine | Kinsale
row 30 : Kilnacloona | 241 | Courceys | Ringrone | Kinsale
row 31 : Knockgorm | 107 | Courceys | Kilroan | Kinsale
row 32 : Knocknabinny | 226 | Courceys | Ringrone | Kinsale
row 33 : Lispatrick Lower | 304 | Courceys | Ringrone | Kinsale
row 34 : Lispatrick Upper | 271 | Courceys | Ringrone | Kinsale
row 35 : Oldcourt | 334 | Courceys | Ringrone | Kinsale
row 36 : Oldhead (or Downmacpatrick) | 202 | Courceys | Ringrone | Kinsale [/Table] Answer this question based on the above table: Name the total number of barony for kilmore

Answer: 1.0
[Table] header: Townland | Area( acres ) | Barony | Civil parish | Poor law union row 1 : Ballincurrig | 281 | Courceys | Ringrone | Kinsale
row 2 : Ballinroe | 110 | Courceys | Ringrone | Kinsale
row 3 : Ballinspittle | 12 | Courceys | Ringrone | Kinsale
row 4 : Ballinvredig | 248 | Courceys | Ringrone | Kinsale
row 5 : Ballycatteen | 325 | Courceys | Templetrine | Kinsale
row 6 : Ballyhander | 303 | Courceys | Ringrone | Kinsale
row 7 : Ballymackean | 295 | Courceys | Ringrone | Kinsale
row 8 : Ballymacredmond | 61 | Courceys | Ringrone | Kinsale
row 9 : Ballynagaragh | 297 | Courceys | Templetrine | Kinsale
row 10 : Ballyrub | 57 | Courceys | Ringrone | Kinsale
row 11 : Carrigvulleen | 251 | Courceys | Ringrone | Kinsale
row 12 : Coolbane | 355 | Courceys | Ringrone | Kinsale
row 13 : Coolyrahilly | 190 | Courceys | Ringrone | Kinsale
row 14 : Courtaparteen | 153 | Courceys | Kilroan | Kinsale
row 15 : Crohane | 124 | Courceys | Kilroan | Kinsale
row 16 : Currahoo | 273 | Courceys | Ringrone | Kinsale
row 17 : Dooneen Lower | 161 | Courceys | Kilroan | Kinsale
row 18 : Dooneen Upper | 117 | Courceys | Kilroan | Kinsale
row 19 : Downmacpatrick (or Oldhead) | 202 | Courceys | Ringrone | Kinsale
row 20 : Dromdough | 332 | Courceys | Ringrone | Kinsale
row 21 : Garrettstown | 967 | Courceys | Templetrine | Kinsale
row 22 : Garrylucas | 151 | Courceys | Ringrone | Kinsale
row 23 : Gortnacrusha North | 279 | Courceys | Templetrine | Kinsale
row 24 : Gortnacrusha South | 257 | Courceys | Templetrine | Kinsale
row 25 : Kilcolman | 305 | Courceys | Ringrone | Kinsale
row 26 : Kilkerran North | 260 | Courceys | Ringrone | Kinsale
row 27 : Kilkerran South | 230 | Courceys | Ringrone | Kinsale
row 28 : Killowny | 230 | Courceys | Kilroan | Kinsale
row 29 : Kilmore | 418 | Courceys | Templetrine | Kinsale
row 30 : Kilnacloona | 241 | Courceys | Ringrone | Kinsale
row 31 : Knockgorm | 107 | Courceys | Kilroan | Kinsale
row 32 : Knocknabinny | 226 | Courceys | Ringrone | Kinsale
row 33 : Lispatrick Lower | 304 | Courceys | Ringrone | Kinsale
row 34 : Lispatrick Upper | 271 | Courceys | Ringrone | Kinsale
row 35 : Oldcourt | 334 | Courceys | Ringrone | Kinsale
row 36 : Oldhead (or Downmacpatrick) | 202 | Courceys | Ringrone | Kinsale [/Table] Answer this question based on the above table: Name the poor law union for area being 332

Answer: 1.0
[Table] header: Year | GDP at constant prices (THB trillions) | GDP at constant prices growth rate (percent change) | GDP at current prices (USD billions) | Export volume of goods and services (percent change) | Current account balance (percent of GDP) row 1 : 1995 | 2.941 | 9.2 | 168.019 | 15.4 | -7.9
row 2 : 1996 | 3.115 | 5.9 | 181.948 | -5.5 | -7.9
row 3 : 1997 | 3.072 | -1.4 | 150.891 | 7.2 | -2.0
row 4 : 1998 | 2.749 | -10.5 | 111.860 | 8.2 | 12.8
row 5 : 1999 | 2.871 | 4.4 | 122.630 | 9.0 | 10.2
row 6 : 2000 | 3.008 | 4.8 | 122.725 | 17.5 | 7.6
row 7 : 2001 | 3.073 | 2.2 | 115.536 | -4.2 | 4.4
row 8 : 2002 | 3.237 | 5.3 | 126.877 | 12.0 | 3.7
row 9 : 2003 | 3.467 | 7.1 | 142.640 | 7.0 | 3.4
row 10 : 2004 | 3.686 | 6.3 | 161.340 | 9.6 | 1.7
row 11 : 2005 | 3.856 | 4.6 | 176.352 | 4.1 | -4.3
row 12 : 2006 | 4.054 | 5.1 | 207.089 | 12.5 | 1.2 [/Table] Answer this question based on the above table: How many current account balances are associated with GDP at constant prices growth rates of 4.6?

Answer: 1.0
[Table] header: Year | GDP at constant prices (THB trillions) | GDP at constant prices growth rate (percent change) | GDP at current prices (USD billions) | Export volume of goods and services (percent change) | Current account balance (percent of GDP) row 1 : 1995 | 2.941 | 9.2 | 168.019 | 15.4 | -7.9
row 2 : 1996 | 3.115 | 5.9 | 181.948 | -5.5 | -7.9
row 3 : 1997 | 3.072 | -1.4 | 150.891 | 7.2 | -2.0
row 4 : 1998 | 2.749 | -10.5 | 111.860 | 8.2 | 12.8
row 5 : 1999 | 2.871 | 4.4 | 122.630 | 9.0 | 10.2
row 6 : 2000 | 3.008 | 4.8 | 122.725 | 17.5 | 7.6
row 7 : 2001 | 3.073 | 2.2 | 115.536 | -4.2 | 4.4
row 8 : 2002 | 3.237 | 5.3 | 126.877 | 12.0 | 3.7
row 9 : 2003 | 3.467 | 7.1 | 142.640 | 7.0 | 3.4
row 10 : 2004 | 3.686 | 6.3 | 161.340 | 9.6 | 1.7
row 11 : 2005 | 3.856 | 4.6 | 176.352 | 4.1 | -4.3
row 12 : 2006 | 4.054 | 5.1 | 207.089 | 12.5 | 1.2 [/Table] Answer this question based on the above table: How many export volume of goods/services values are associated with GDP at constant prices values of 3.072?

Answer: 1.0
[Table] header: Year | GDP at constant prices (THB trillions) | GDP at constant prices growth rate (percent change) | GDP at current prices (USD billions) | Export volume of goods and services (percent change) | Current account balance (percent of GDP) row 1 : 1995 | 2.941 | 9.2 | 168.019 | 15.4 | -7.9
row 2 : 1996 | 3.115 | 5.9 | 181.948 | -5.5 | -7.9
row 3 : 1997 | 3.072 | -1.4 | 150.891 | 7.2 | -2.0
row 4 : 1998 | 2.749 | -10.5 | 111.860 | 8.2 | 12.8
row 5 : 1999 | 2.871 | 4.4 | 122.630 | 9.0 | 10.2
row 6 : 2000 | 3.008 | 4.8 | 122.725 | 17.5 | 7.6
row 7 : 2001 | 3.073 | 2.2 | 115.536 | -4.2 | 4.4
row 8 : 2002 | 3.237 | 5.3 | 126.877 | 12.0 | 3.7
row 9 : 2003 | 3.467 | 7.1 | 142.640 | 7.0 | 3.4
row 10 : 2004 | 3.686 | 6.3 | 161.340 | 9.6 | 1.7
row 11 : 2005 | 3.856 | 4.6 | 176.352 | 4.1 | -4.3
row 12 : 2006 | 4.054 | 5.1 | 207.089 | 12.5 | 1.2 [/Table] Answer this question based on the above table: How many export volume of goods and services values are associated with GDP at current prices of 161.340?

Answer: 1.0
[Table] header: Year | GDP at constant prices (THB trillions) | GDP at constant prices growth rate (percent change) | GDP at current prices (USD billions) | Export volume of goods and services (percent change) | Current account balance (percent of GDP) row 1 : 1995 | 2.941 | 9.2 | 168.019 | 15.4 | -7.9
row 2 : 1996 | 3.115 | 5.9 | 181.948 | -5.5 | -7.9
row 3 : 1997 | 3.072 | -1.4 | 150.891 | 7.2 | -2.0
row 4 : 1998 | 2.749 | -10.5 | 111.860 | 8.2 | 12.8
row 5 : 1999 | 2.871 | 4.4 | 122.630 | 9.0 | 10.2
row 6 : 2000 | 3.008 | 4.8 | 122.725 | 17.5 | 7.6
row 7 : 2001 | 3.073 | 2.2 | 115.536 | -4.2 | 4.4
row 8 : 2002 | 3.237 | 5.3 | 126.877 | 12.0 | 3.7
row 9 : 2003 | 3.467 | 7.1 | 142.640 | 7.0 | 3.4
row 10 : 2004 | 3.686 | 6.3 | 161.340 | 9.6 | 1.7
row 11 : 2005 | 3.856 | 4.6 | 176.352 | 4.1 | -4.3
row 12 : 2006 | 4.054 | 5.1 | 207.089 | 12.5 | 1.2 [/Table] Answer this question based on the above table: What is the current account balance for an export volume of goods and service value of -4.2?

Answer: 4.4