13

+!k!v!S ' 2 4 !M!=!C!|![? Û!X€¦ · !s!v!k!I!| !S!h!E!5!U !x!H!X!5!v!u |!E!5 ¾ t!T!4 A!t !x!t!: '!T Ü!F!s

Download PDF Report

Upload
others
View
8
Download
0

Embed Size (px)

Citation preview

Page 1: +!k!v!S ' 2 4 !M!=!C!|![? Û!X€¦ · !s!v!k!I!| !S!h!E!5!U !x!H!X!5!v!u |!E!5 ¾ t!T!4 A!t !x!t!: '!T Ü!F!s

Page 2: +!k!v!S ' 2 4 !M!=!C!|![? Û!X€¦ · !s!v!k!I!| !S!h!E!5!U !x!H!X!5!v!u |!E!5 ¾ t!T!4 A!t !x!t!: '!T Ü!F!s

Page 3: +!k!v!S ' 2 4 !M!=!C!|![? Û!X€¦ · !s!v!k!I!| !S!h!E!5!U !x!H!X!5!v!u |!E!5 ¾ t!T!4 A!t !x!t!: '!T Ü!F!s

旭日小綬章

齋藤　　平さん

瑞宝単光章

五十嵐　正さん

Page 4: +!k!v!S ' 2 4 !M!=!C!|![? Û!X€¦ · !s!v!k!I!| !S!h!E!5!U !x!H!X!5!v!u |!E!5 ¾ t!T!4 A!t !x!t!: '!T Ü!F!s

Page 5: +!k!v!S ' 2 4 !M!=!C!|![? Û!X€¦ · !s!v!k!I!| !S!h!E!5!U !x!H!X!5!v!u |!E!5 ¾ t!T!4 A!t !x!t!: '!T Ü!F!s

Page 6: +!k!v!S ' 2 4 !M!=!C!|![? Û!X€¦ · !s!v!k!I!| !S!h!E!5!U !x!H!X!5!v!u |!E!5 ¾ t!T!4 A!t !x!t!: '!T Ü!F!s

Page 7: +!k!v!S ' 2 4 !M!=!C!|![? Û!X€¦ · !s!v!k!I!| !S!h!E!5!U !x!H!X!5!v!u |!E!5 ¾ t!T!4 A!t !x!t!: '!T Ü!F!s

Page 8: +!k!v!S ' 2 4 !M!=!C!|![? Û!X€¦ · !s!v!k!I!| !S!h!E!5!U !x!H!X!5!v!u |!E!5 ¾ t!T!4 A!t !x!t!: '!T Ü!F!s

Page 9: +!k!v!S ' 2 4 !M!=!C!|![? Û!X€¦ · !s!v!k!I!| !S!h!E!5!U !x!H!X!5!v!u |!E!5 ¾ t!T!4 A!t !x!t!: '!T Ü!F!s

Page 10: +!k!v!S ' 2 4 !M!=!C!|![? Û!X€¦ · !s!v!k!I!| !S!h!E!5!U !x!H!X!5!v!u |!E!5 ¾ t!T!4 A!t !x!t!: '!T Ü!F!s

Page 11: +!k!v!S ' 2 4 !M!=!C!|![? Û!X€¦ · !s!v!k!I!| !S!h!E!5!U !x!H!X!5!v!u |!E!5 ¾ t!T!4 A!t !x!t!: '!T Ü!F!s

Page 12: +!k!v!S ' 2 4 !M!=!C!|![? Û!X€¦ · !s!v!k!I!| !S!h!E!5!U !x!H!X!5!v!u |!E!5 ¾ t!T!4 A!t !x!t!: '!T Ü!F!s

Page 13: +!k!v!S ' 2 4 !M!=!C!|![? Û!X€¦ · !s!v!k!I!| !S!h!E!5!U !x!H!X!5!v!u |!E!5 ¾ t!T!4 A!t !x!t!: '!T Ü!F!s

~bo± ~NUMBER(S) · Solutions to the equation OtE(x,t) - 'AE(x,t) = AJS(x,t)12 (x,t) are inves-tigated, where S(x, t) is a complex Gaussian field with zero mean and specified covariance,

~bo± ~NUMBER(S) · Solutions to the equation OtE(x,t) - 'AE(x,t) = AJS(x,t)12 (x,t) are inves-tigated, where S(x, t) is a complex Gaussian field with zero mean and specified covariance,

Documents

T E X A S S T A T E S E N A T O R Paul Bettencourt

T E X A S S T A T E S E N A T O R Paul Bettencourt

Documents

Tunnel Change Detection by Time Series Images f x t A e S ... · Tunnel Change Detection by Time Series Images ... f x t A e S x t S x t S x t e S x t f x t ZG ZZ ZZ DZG ZZ Z Z G

Tunnel Change Detection by Time Series Images f x t A e S ... · Tunnel Change Detection by Time Series Images ... f x t A e S x t S x t S x t e S x t f x t ZG ZZ ZZ DZG ZZ Z Z G

Documents

Markovprocesses · Introduction Furthermore,bythetowerpropertyofconditionalexpectations,thekernelsp s;t „s;t 2I withs t”satisfy theconsistencycondition p s;u„X

Markovprocesses · Introduction Furthermore,bythetowerpropertyofconditionalexpectations,thekernelsp s;t „s;t 2I withs t”satisfy theconsistencycondition p s;u„X

Documents

UNIVERSITY O F C O LOGNE WOR KIN G PAPER S E RIES … · S t h t x h x dx x t h x dx DE

UNIVERSITY O F C O LOGNE WOR KIN G PAPER S E RIES … · S t h t x h x dx x t h x dx DE

Documents

á w u u t r s y/media/Files/O/Ocado-Group/reports-and... · t r s x ò t r s x ó á ä t r s y w u I t r s y w t

á w u u t r s y/media/Files/O/Ocado-Group/reports-and... · t r s x ò t r s x ó á ä t r s y w u I t r s y w t

Documents

Stochastics II - Ulm€¦ · Deﬁnition1.1.7 LetX X t ,t> T bearandomfunctionwithvaluesin S,B ,i.e.,X t > S almostsurely for arbitrary t> T. Let (T,C) be itself a measurable space

Stochastics II - Ulm€¦ · Deﬁnition1.1.7 LetX X t ,t> T bearandomfunctionwithvaluesin S,B ,i.e.,X t > S almostsurely for arbitrary t> T. Let (T,C) be itself a measurable space

Documents

ET 9 - 2022 S 9 A Y...x ub - s h . x ll f sses. x t. x d one e - t.. x nt ( ptop t) t m x bies x 1 ,roups x r t m rs x d 25 w rship x s of 345, 786.50 x rds x ted 5 t - s x ing x ment

ET 9 - 2022 S 9 A Y...x ub - s h . x ll f sses. x t. x d one e - t.. x nt ( ptop t) t m x bies x 1 ,roups x r t m rs x d 25 w rship x s of 345, 786.50 x rds x ted 5 t - s x ing x ment

Documents

ä r t á t r t r...t r s w t r s { ä t r s z s t t á ä x t r s { v { x s y

ä r t á t r t r...t r s w t r s { ä t r s z s t t á ä x t r s { v { x s y

Documents

Paper size: 610 x 2 200 mm Úspora - 1,5m na paré · 2020. 9. 2. · P132 P131 Z130a Z130 Z130b Z24 Z121 Z129 Z80 T s T s T s T s T s T s T s T s T s T s T s T s T s T s T s T s

Paper size: 610 x 2 200 mm Úspora - 1,5m na paré · 2020. 9. 2. · P132 P131 Z130a Z130 Z130b Z24 Z121 Z129 Z80 T s T s T s T s T s T s T s T s T s T s T s T s T s T s T s T s

Documents

ke c d Q fun es! BBQ s a t!” - Amphora Catering · fun s es! t!” Picnics And Barbecues X X X X X X X X X X X ... Henna/Airbrush Tattoos Clown Entertainment Magician Entertainment

ke c d Q fun es! BBQ s a t!” - Amphora Catering · fun s es! t!” Picnics And Barbecues X X X X X X X X X X X ... Henna/Airbrush Tattoos Clown Entertainment Magician Entertainment

Documents

4 CAPD · 2020. 6. 30. · Slide 34 ies y e s s No d t & s 2010) 7-s X a 2010) 8-s X t 2011) X t & s 2011) e n X n . 2011) s X u 2010) s X 2012) s X e-e & r 2010) d s X

4 CAPD · 2020. 6. 30. · Slide 34 ies y e s s No d t & s 2010) 7-s X a 2010) 8-s X t 2011) X t & s 2011) e n X n . 2011) s X u 2010) s X 2012) s X e-e & r 2010) d s X

Documents

CHANNEL - d.umn.edujmaps/research/datasheets/channel_cat.pdf · g n i t s e T e XXXXXv i t c u r t s e D - n o N High Voltage Generators X X X Audible Alarms X X X Note: The units

CHANNEL - d.umn.edujmaps/research/datasheets/channel_cat.pdf · g n i t s e T e XXXXXv i t c u r t s e D - n o N High Voltage Generators X X X Audible Alarms X X X Note: The units

Documents

Your Talent Search, Simplified · h l s h y g g, t s s y y s y t 340B Health x x x x x x x x x x Academy of Correctional Health Professionals x x x x x x x x Academy of General Dentistry

Your Talent Search, Simplified · h l s h y g g, t s s y y s y t 340B Health x x x x x x x x x x Academy of Correctional Health Professionals x x x x x x x x Academy of General Dentistry

Documents

Distance, Speed and Time speed (m/s) = distance (m) time (s) x D S T S = D T D = S X T T = D S

Distance, Speed and Time speed (m/s) = distance (m) time (s) x D S T S = D T D = S X T T = D S

Documents

C L I X S T E R S

C L I X S T E R S

Health & Medicine

X OF IC ALZ NG T S X K

X OF IC ALZ NG T S X K

Documents

DeepA nity: Interpretable Deep Learning of Compound ... · DeepA nity: Interpretable Deep Learning of Compound-Protein ... r t X x t s t-1 h t X + 1-tanh tanh s t z t X X X tanh +

DeepA nity: Interpretable Deep Learning of Compound ... · DeepA nity: Interpretable Deep Learning of Compound-Protein ... r t X x t s t-1 h t X + 1-tanh tanh s t z t X X X tanh +

Documents

BOURNE · BOURNE E X T R S T R E E T E X E T E R S T R E E T S TGILBER S ROAD N O R H S T R E ET W E S T S T R E E T. Title: Layout 1 Created Date: 20190709165632Z

BOURNE · BOURNE E X T R S T R E E T E X E T E R S T R E E T S TGILBER S ROAD N O R H S T R E ET W E S T S T R E E T. Title: Layout 1 Created Date: 20190709165632Z

Documents

x (m) t (s) 0 What does the y-intercept represent?. x (m) t (s) 0

x (m) t (s) 0 What does the y-intercept represent?. x (m) t (s) 0

Documents

info - manual - stl file · 1 X T O P P L A T E 4 X V I T I M 3 X 1 0. 2 X V I T I S V A S A T E M 3 X 1 6. 2 X S T A N D O F F. 1 X C A N O P Y 2 X V I T I S V A S A T E M 3 X 6

info - manual - stl file · 1 X T O P P L A T E 4 X V I T I M 3 X 1 0. 2 X V I T I S V A S A T E M 3 X 1 6. 2 X S T A N D O F F. 1 X C A N O P Y 2 X V I T I S V A S A T E M 3 X 6

Documents

Lecture 7: Sequential Networkscseweb.ucsd.edu/classes/sp18/cse140-a/slides/lec7FFs.pdfy i = f i (S t,X) s i t+1 = g i (S t,X) 4 X Y Combinational logic S t S t+1 clock Memory / Time

Lecture 7: Sequential Networkscseweb.ucsd.edu/classes/sp18/cse140-a/slides/lec7FFs.pdfy i = f i (S t,X) s i t+1 = g i (S t,X) 4 X Y Combinational logic S t S t+1 clock Memory / Time

Documents

SAMPLE IN S T R U C T IO N S - The Home Depot IN S T R U C T IO N S. X X X X X X ... (called a bird's m outh) into the 2x4 blocks. ... the bottom of the opening,

SAMPLE IN S T R U C T IO N S - The Home Depot IN S T R U C T IO N S. X X X X X X ... (called a bird's m outh) into the 2x4 blocks. ... the bottom of the opening,

Documents

Kriteria Estimator - getut · Estimator Takbias W T T W T W T, t a T s i p . T i s i ( ) a T i 1 : E > @ 2 > 2 @ 2 1 2 i ( ) a a , , nl m f x PXE sV X X X n n contoh 1 x

Kriteria Estimator - getut · Estimator Takbias W T T W T W T, t a T s i p . T i s i ( ) a T i 1 : E > @ 2 > 2 @ 2 1 2 i ( ) a a , , nl m f x PXE sV X X X n n contoh 1 x

Documents

Covid survey - Health Bridge · tz } S{ yX t{ S } tS X X V tUt{p }Z S{ tUt} tV 9{ tUt} tV X S W qt t{ H P; bVtyt tX t V}{ tWX XW S }Y qX bVtyt B{cV t}{ L X X{ t}{ S{W ;}{ }y L }p

Covid survey - Health Bridge · tz } S{ yX t{ S } tS X X V tUt{p }Z S{ tUt} tV 9{ tUt} tV X S W qt t{ H P; bVtyt tX t V}{ tWX XW S }Y qX bVtyt B{cV t}{ L X X{ t}{ S{W ;}{ }y L }p

Documents

H O U S T O N , T E X A S

H O U S T O N , T E X A S

Documents

Variation and E ciency of High-Frequency BetasWe denote X= (Z;Y)>and assume that Xis an It^o semimartingale of the form X t= X 0 + Z t 0 b sds+ Z t 0 ˙ sdW s+ J t; J t X s t X s;

Variation and E ciency of High-Frequency BetasWe denote X= (Z;Y)>and assume that Xis an It^o semimartingale of the form X t= X 0 + Z t 0 b sds+ Z t 0 ˙ sdW s+ J t; J t X s t X s;

Documents

$$ ß t ` s U ¡ p X i ^ M { b o w q ] q t Ø ç Ä ¬ î t o X i ^ Mb 3 t S ð M ù d X i ^ M {$ ß t ` s U ¡ p X i ^ M { b o w q ] q t Ø ç Ä ¬ î t o X i ^ M { A s » é Ó å$

$ ß t ` s U ¡ p X i ^ M { b o w q ] q t Ø ç Ä ¬ î t o X i ^ Mb 3 t S ð M ù d X i ^ M {$ ß t ` s U ¡ p X i ^ M { b o w q ] q t Ø ç Ä ¬ î t o X i ^ M { A s » é Ó å

Documents

Your Talent Search, Simplified · 2017-09-15 · h l s h y g g, t s s y y s y t 340B Health x x x x x x x x x x Academy of Correctional Health Professionals x x x x x x x x Academy

Your Talent Search, Simplified · 2017-09-15 · h l s h y g g, t s s y y s y t 340B Health x x x x x x x x x x Academy of Correctional Health Professionals x x x x x x x x Academy

Documents

1,0 4 x(t) x(n) s

1,0 4 x(t) x(n) s

Documents