産総研TODAY

Size: px
Start display at page:

Download "産総研TODAY"

Transcription

1

2

3

4 4 AIST Today

5 AIST Today

6 Ωµ 6 AIST Today

7 AIST Today

8 8 AIST Today

9 µ AIST Today

10 10 AIST Today

11 AIST Today

12 12 AIST Today

13 AGGTCAnnnTGACCT AIST Today

14 µ 14 AIST Today

15 n AIST Today

16 16 AIST Today

17 17 AIST Today

18 18 AIST Today

19 19 AIST Today

20 20 AIST Today

21 21 AIST Today µ

22 22 AIST Today

23 W/m -2 sr -1 V(λ) (20) Le,λ(s) V(λ) (60) Le,λ(b) L 20(s) = Σ Le,λ(s)V(λ) (20) λ= Wm -2 sr -1 L 20(b) = Σ Le,λ(b)V(λ) (20) λ= Wm -2 sr -1 C L (a) L 60(s) = 683Σ Le,λ(s)V(λ) (60) λ= Wm -2 sr -1 L 60(b) = 683Σ Le,λ(b)V(λ) (60) λ= Wm -2 sr C = L (a) AIST Today

24 24 AIST Today

25 500 nm 500 nm 500 nm AIST Today

26 26 AIST Today

27 27 AIST Today

28 28 AIST Today

29 29 AIST Today

30 30 AIST Today

31 31 AIST Today

32

Micro-D 小型高密度角型コネクタ

Micro-D 小型高密度角型コネクタ Micro- 1 2 0.64 1.27 1 2 3 4 5 6 7 8 9 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 1 2 3 4 5 6 7 8 9 10 11 12 13 1.09 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 3 4 J J

More information

新しい在胎期間別出生時体格標準値の導入について

新しい在胎期間別出生時体格標準値の導入について 表 新 しい 在 胎 期 間 別 出 生 時 体 格 値 作 成 の 対 象 (V: 経 膣 分 娩,C: 帝 王 切 開 ) 在 胎 数 C 初 産 C 経 産 男 児 V 初 産 V 経 産 C 初 産 C 経 産 女 児 V 初 産 V 経 産 8 7 7 9 7 7 8 88 7 8 7 9 7 9 9 8 7 8 7 9 8 9 7 79 8 8 7 89 77 8 8 9 89 88 8

More information

untitled

untitled 21 H22 H20 H19 H20 H19 H21 H21 H17 H21 L=650m W=16m H21 L=355m H19 L=770m 15 8 1 (1) 42 118,607.62 118,606.34 1.28 18,748.35 18,748.31 0.04 2,845.58 2,845.48 0.10 1.42 40 40 18.89 0.65 1.44 20.98

More information

第85 回日本感染症学会総会学術集会後抄録(III)

第85 回日本感染症学会総会学術集会後抄録(III) β β α α α µ µ µ µ α α α α γ αβ α γ α α γ α γ µ µ β β β β β β β β β µ β α µ µ µ β β µ µ µ µ µ µ γ γ γ γ γ γ µ α β γ β β µ µ µ µ µ β β µ β β µ α β β µ µµ β µ µ µ µ µ µ λ µ µ β µ µ µ µ µ µ µ µ

More information

Netcommunity SYSTEM αNXⅡ typeS/typeM 取扱説明書

Netcommunity SYSTEM αNXⅡ typeS/typeM 取扱説明書 2 3 4 5 6 7 1 2 3 4 5 6 8 3 3-38 1 2 3 4 5 9 1 2 3 10 4 5 11 6 12 1 1-2 1 1-3 1 1-4 1 1-5 1 micro SD 1-6 1 1-7 1 1 1-8 1 1-9 1 100 10 TEN 1 1-10 1 1-11 1 1-12 1 1-13 1 1-14 1 1 2 7 8 9 1 3 4 5 6 1-15 1

More information

チュートリアル:ノンパラメトリックベイズ

チュートリアル:ノンパラメトリックベイズ { x,x, L, xn} 2 p( θ, θ, θ, θ, θ, } { 2 3 4 5 θ6 p( p( { x,x, L, N} 2 x { θ, θ2, θ3, θ4, θ5, θ6} K n p( θ θ n N n θ x N + { x,x, L, N} 2 x { θ, θ2, θ3, θ4, θ5, θ6} log p( 6 n logθ F 6 log p( + λ θ F θ

More information

Jan. 2005 Jan. 2005 2 4 12 13 23 29 42 47 52 58 59 68 95 96 69 72 77 78 83 84 2 / 3 4 Vol.78 No.1 2005 5 6 Vol.78 No.1 2005 A040728 0043 7 V 8 Vol.78 No.1 2005 9 µ 10 Vol.78 No.1 2005 µ 11 12 Vol.78 No.1

More information

. ------------------------------------. ----------------------------------------------- ------------------------------------- -------------------. ---

. ------------------------------------. ----------------------------------------------- ------------------------------------- -------------------. --- . ------------------------------------. ----------------------------------------------- ------------------------------------- -------------------. -----------------------------------------------. -----------------------------------------------

More information

1 913 10301200 A B C D E F G H J K L M 1A1030 10 : 45 1A1045 11 : 00 1A1100 11 : 15 1A1115 11 : 30 1A1130 11 : 45 1A1145 12 : 00 1B1030 1B1045 1C1030

1 913 10301200 A B C D E F G H J K L M 1A1030 10 : 45 1A1045 11 : 00 1A1100 11 : 15 1A1115 11 : 30 1A1130 11 : 45 1A1145 12 : 00 1B1030 1B1045 1C1030 1 913 9001030 A B C D E F G H J K L M 9:00 1A0900 9:15 1A0915 9:30 1A0930 9:45 1A0945 10 : 00 1A1000 10 : 15 1B0900 1B0915 1B0930 1B0945 1B1000 1C0900 1C0915 1D0915 1C0930 1C0945 1C1000 1D0930 1D0945 1D1000

More information

1

1 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 Ni-Cd 19 1 1 2 3 4 5 6 7 20 21 1 2 3 22 1 2 3 1 2 3 23 1 2 1 1 1 24 25 1 1 2 3 2 26 1 2 1 27 1 2 3 28 1 2 3 29 30 31 32 33 34 35 1 1 36 1 2 37 38 1 2 3 1 39

More information

M,,,,, M A A B,,,,, M M M a,,, B B, 2

M,,,,, M A A B,,,,, M M M a,,, B B, 2 , A A 1 M,,,,, M A A B,,,,, M M M a,,, B B, 2 B B B B,,, B B B B B B B M a 3 M a A A B B M, M M M M M b,,,, 4 , B B,,, A A M,,, 5 ,,,,,,,,, 6 , B B,,, 7 ,,,,,,,,,,,,,,,, 8 , 9 A B B 10 ,,,,,,, NM SHYM

More information

36

36 36 37 38 P r R P 39 (1+r ) P =R+P g P r g P = R r g r g == == 40 41 42 τ R P = r g+τ 43 τ (1+r ) P τ ( P P ) = R+P τ ( P P ) n P P r P P g P 44 R τ P P = (1 τ )(r g) (1 τ )P R τ 45 R R σ u R= R +u u~ (0,σ

More information

…K…E…X„^…x…C…W…A…fi…l…b…g…‘†[…N‡Ì“‚¢−w‘K‡Ì‹ê™v’«‡É‡Â‡¢‡Ä

…K…E…X„^…x…C…W…A…fi…l…b…g…‘†[…N‡Ì“‚¢−w‘K‡Ì‹ê™v’«‡É‡Â‡¢‡Ä 2009 8 26 1 2 3 ARMA 4 BN 5 BN 6 (Ω, F, µ) Ω: F Ω σ 1 Ω, ϕ F 2 A, B F = A B, A B, A\B F F µ F 1 µ(ϕ) = 0 2 A F = µ(a) 0 3 A, B F, A B = ϕ = µ(a B) = µ(a) + µ(b) µ(ω) = 1 X : µ X : X x 1,, x n X (Ω) x 1,,

More information

3 3.1 *2 1 2 3 4 5 6 *2 2

3 3.1 *2 1 2 3 4 5 6 *2 2 Armitage 1 2 11 10 3.32 *1 9 5 5.757 3.3667 7.5 1 9 6 5.757 7 7.5 7.5 9 7 7 9 7.5 10 9 8 7 9 9 10 9 9 9 10 9 11 9 10 10 10 9 11 9 11 11 10 9 11 9 12 13 11 10 11 9 13 13 11 10 12.5 9 14 14.243 13 12.5 12.5

More information

(interval estimation) 3 (confidence coefficient) µ σ/sqrt(n) 4 P ( (X - µ) / (σ sqrt N < a) = α a α X α µ a σ sqrt N X µ a σ sqrt N 2

(interval estimation) 3 (confidence coefficient) µ σ/sqrt(n) 4 P ( (X - µ) / (σ sqrt N < a) = α a α X α µ a σ sqrt N X µ a σ sqrt N 2 7 2 1 (interval estimation) 3 (confidence coefficient) µ σ/sqrt(n) 4 P ( (X - µ) / (σ sqrt N < a) = α a α X α µ a σ sqrt N X µ a σ sqrt N 2 (confidence interval) 5 X a σ sqrt N µ X a σ sqrt N - 6 P ( X

More information

61“ƒ/61G2 P97

61“ƒ/61G2 P97 σ σ φσ φ φ φ φ φ φ φ φ σ σ σ φσ φ σ φ σ σ σ φ α α α φα α α φ α φ α α α φ α α α σ α α α α α α Σα Σ α α α α α σ σ α α α α α α α α α α α α σ α σ φ σ φ σ α α Σα Σα α σ σ σ σ σ σ σ σ σ σ σ σ Σ σ σ σ σ

More information

KIKUCHI Noboru

KIKUCHI Noboru KIKUCHI Noboru TAKEUCHI Norio NISHIMURA Naoshi n n n n n FUJII Kozo INAMURO Takaji OKAZAWA Shigenobu YAMADA Takahiro NOGUCHI Hirohisa uu TERADA Kenjiro 800 (a) (b) (d) (e) 400 0 ñ400 MPa 0 0.02

More information

DV-0001_センダイウイルス(SeV)ミニゲノムベクター調整キット(120425_ver._2.3)

DV-0001_センダイウイルス(SeV)ミニゲノムベクター調整キット(120425_ver._2.3) For Research Use Only. Not for use in diagnostic procedures. For Research Use Only. Not for use in diagnostic procedures. 1/25 2/25 3/25 4/25 5/25 6/25 µ µµ µ µµ µ µ 7/25 8/25 9/25 µ µ 10/25 11/25 µ 12/25

More information

日本糖尿病学会誌第58巻第1号

日本糖尿病学会誌第58巻第1号 α β β β β β β α α β α β α l l α l μ l β l α β β Wfs1 β β l l l l μ l l μ μ l μ l Δ l μ μ l μ l l ll l l l l l l l l μ l l l l μ μ l l l l μ l l l l l l l l l l μ l l l μ l μ l l l l l l l l l μ l l l l

More information

3 3.3. I 3.3.2. [ ] N(µ, σ 2 ) σ 2 (X 1,..., X n ) X := 1 n (X 1 + + X n ): µ X N(µ, σ 2 /n) 1.8.4 Z = X µ σ/ n N(, 1) 1.8.2 < α < 1/2 Φ(z) =.5 α z α

3 3.3. I 3.3.2. [ ] N(µ, σ 2 ) σ 2 (X 1,..., X n ) X := 1 n (X 1 + + X n ): µ X N(µ, σ 2 /n) 1.8.4 Z = X µ σ/ n N(, 1) 1.8.2 < α < 1/2 Φ(z) =.5 α z α 2 2.1. : : 2 : ( ): : ( ): : : : ( ) ( ) ( ) : ( pp.53 6 2.3 2.4 ) : 2.2. ( ). i X i (i = 1, 2,..., n) X 1, X 2,..., X n X i (X 1, X 2,..., X n ) ( ) n (x 1, x 2,..., x n ) (X 1, X 2,..., X n ) : X 1,

More information

統計的仮説検定とExcelによるt検定

統計的仮説検定とExcelによるt検定 I L14(016-01-15 Fri) : Time-stamp: 016-01-15 Fri 14:03 JST hig 1,,,, p, Excel p, t. http://hig3.net ( ) L14 Excel t I(015) 1 / 0 L13-Q1 Quiz : n = 9. σ 0.95, S n 1 (n 1)

More information

2 Part A B C A > B > C (0) 90, 69, 61, 68, 6, 77, 75, 20, 41, 34 (1) 8, 56, 16, 50, 43, 66, 44, 77, 55, 48 (2) 92, 74, 56, 81, 84, 86, 1, 27,

2 Part A B C A > B > C (0) 90, 69, 61, 68, 6, 77, 75, 20, 41, 34 (1) 8, 56, 16, 50, 43, 66, 44, 77, 55, 48 (2) 92, 74, 56, 81, 84, 86, 1, 27, / (1) (2) (3) [email protected] (4) (0) (10) 11 (10) (a) (b) (c) (5) - - 11160939-11160939- - 1 2 Part 1. 1. 1. A B C A > B > C (0) 90, 69, 61, 68, 6, 77, 75, 20, 41, 34 (1) 8, 56, 16, 50, 43, 66, 44,

More information

E F = q b E (2) E q a r q a q b N/C q a (electric flux line) q a E r r r E 4πr 2 E 4πr 2 = k q a r 2 4πr2 = 4πkq a (3) 4πkq a 1835 4πk 1 ɛ 0 ɛ 0 (perm

E F = q b E (2) E q a r q a q b N/C q a (electric flux line) q a E r r r E 4πr 2 E 4πr 2 = k q a r 2 4πr2 = 4πkq a (3) 4πkq a 1835 4πk 1 ɛ 0 ɛ 0 (perm 1 1.1 18 (static electricity) 20 (electric charge) A,B q a, q b r F F = k q aq b r 2 (1) k q b F F q a r?? 18 (Coulomb) 1 N C r 1m 9 10 9 N 1C k 9 10 9 Nm 2 /C 2 1 k q a r 2 (Electric Field) 1 E F = q

More information