!" # $%

Size: px
Start display at page:

Download "!" # $%"

Transcription

1 !" # $% - 6) 45 3& )() 21 / 0-1() *+,) -!" A - B".%7 8 9:; < -1 =>0) 20) %)%& G; ( = C = 3& =6) E5) = C. - =67 =.% A # ;HI JKL; <7: / 20) P7).@ 8 3KM; ( )) =N7%O B) 3KM; R 6+S =Q?.%) 20) R TU 6+S =Q %) / 20) WM; # :7).% 20) 70.L&1 X? X :!"#$ m_aliloo@yahoo.com (Z[ =%)).9:; =>0) 0) 7 Y1.9:; =>0) 7; 0) 0) Y2.(S 0) %& \&/ Y3

2 - G =? )0) - ]6; G )9-8<S U Z.@ U =! I (KS U I =! X@ =%& = 20)? = ( 7U& 3 S ` \;) %) = 20) -%%; ]S<+.- " _> 7U& Z<7U <7: 2 ( (aa5) 2 L( \; > -.(aaa X2 L( I %) # %) () L&1? - " X.- " IU :A R X.- " Z K X :%).- " %R 3 ) %)&L&1 X%)& 1 ]S<+ I 21 d E b =%%" (aa`) 2 L( c 7 # #:;. - - ) 9 f %7 I %) %" #O 21.%) =I =& 7A e>)-. XU WKU I.<; X& %%; $R 20A; WKU 2%) %" is.- " > #.%I U 21 ]g9a h0; - =- %U = ] U 70 # - X& 21 j )0) U - X 7A e7u& : I X )0) # - %I - 21 R8 S - %%;.%I l6 U 9>)? - - %R; KU ]m = 20) %R7 ]M; P7). o n G: % 6; A; X -1 S %; :%) 7U& N7 S(7A =%/%%; % & 4.(`55b X #(& 9q X X p ( ) 1- Cognitive biases 3- Encoding 5- Mogg 7- Cognitive-avoidance 2- Mathews 4- Retrieval 6- Vigilance-avoidance 8- Amir, Bower, Briks & Freshman 138

3 ) 7 8 9: 8(;0< 5(6... () *+(, -+./ (3 G ( s) ) ]K(S / & r ]S<+.- " q b ` 2/ :) ( -) 3q& N; X t/ X2 - d E G JK7v uuv; % =- " /) 2U 2A = X ]S<+ - \7 ]S<+ G / )1 -. >7 (% 7" ; # X%& %M 7 % e=- Z - 0v.%)&.- " x8) + 3/ + %) ; ]S<+ - 0v - 7 # r X7).%)&().- " A y ]S<+.%& 7& A ]S<+ 9 #R; A; :%) / f.% 9 - % % O) A ]S<+ 2 %& =& / )( 9O O.- 9O O G(u; % # G 9;,) Jk;!" #.& zu =!. 8 = ") ) #.% 8 ) R ]S<+ a :%) 6 %R7 / %) =%S #q(.%9 6 WKU p ( ]S<+ / 70 Z(7 X? ]8 { K(A - ) q6; R %) 7 ( 3 S(7A O %) o> n ; %) ; ]) q)1 >.%() %) ; ~7),? #.- 2- O.-%) }8 O X) 9 _> n X} % %) ; =- / (/ ) ]m<7u 2 1- Mental operations 3- Transformation 5- Modules 7- Prioritze 9- Emotional status 2- Acquisition 4- Storage of information 6- Selection 8- Theorizing 139

4 () qk/ )() ~ q tk =%/%%; b `.(aaj 9K Xaa4 XaaE [ =%& g& X*%) =%&. 9 )() ]R - (/ %R; d E X X Xaab X 7/ X X%)7 X_7q (/!" %R; G )() - X(b45 X= -2 ;LK ]S<+? # :; - (/ % & G 7 ]k f )-1 #.(aaa 6; [ ) A =%/%%; - # ]M; P7) %) ;?! - m *.%0v GqM; j? Z<7U 2 ( X (`555) yi ; X#%!".%) 20) 91%%; 4 A; 2 S M; (`55d) (I G e :" ~ U =O) %%; ƒ:; M I 20) P7).%) m? A; } - ;c9 ) U ():us = =%(S n ; # =%(S 7.% 20) #"? )-1 ƒ; =%& - 2 GKS m? )-1 I %&?.(`55 X-; b4d X X@ 0)) % " ;%I X)0) Z<7U 2( R Z<7U X:A Z<7U X,)- :A Y 20) Xuv& X = 20) 7? :A Y I 20) (b4f) 8 R.(b4f XKKS(M) %) 1- Mathews & Mcleod 3- Williams 5- Kentish 7- Friedman, Thayer & Borkove 2- Mogg & Bradley 4- Londeh, Vixtrom, Vesterlound & Oust 6- Rotenford 8- Paiberbadham & Dominikiulimi 140

5 ) 7 8 9: 8(;0< 5(6... () *+(, -+./ (3 & is I %7 ;<L0 () 7U& %R =%,) ]<L0 # I % ) 2(+ - L&1) 2 9 I 20) P7) (b4f) (7.& 07? Z<7U :A e Z<7U 2<7:.@ 70 = WKU = )-1 I 20) P7) (b4f) KKS(M!" 1 70 R + 6 =Q X-1 > = = I %) = 20) ]M; # (.%)I 20) 6.- " h 6 70 L&1 L&1) #" ] 7 -ZR G7 m ] ().% 70 L&1 L&1) 7 - G7 I 20) 3KM; # #O G.% 20) 6.- " 7 -ZR G7 m ] () X= I.- " y L&1) 7 - G7 #" ] () 7 # (.(b4j X %:S b4d X2 -#) %) %) 20) ) ](KI 07? ]m<7u <7: 21 - I I %() 3(L; 6 ) 3LY& 70 ]N Y = X; 7 = (? A - I.%&? # :; #7?!" $% ; & TU X9>)? =Q 1 ]6; # X9>)? =Q 1 1 I & _KR 2 M; Z?!" ) A %) xv0; - I 1 I A 91%%; M 141

6 ' () *+ 37 N7!" #.%& eks,) -?!" *+ =%& $k U N7 (G h ) = 3&.@ =Q /"+ + ' + +,-..% 3L0; 9:; < -1 =>0) 20)!" # 1 RA `5 =O 3&!" # )-1 \7 )(). - =67 - (2- X2- # X #) 6).%)%& v7) bd ; `5 = ]k :u C? 2-1 \ = 9 - =67 X Ebe` 3k % )1 C? 2-1 =() I.@ uv0; :u P7) / ;k %7 8 uv0; :u.%)%& v7) )() = 2 S # X/ %; 2-1 7) :u / ;k X fbeee # )1? 2-1 =() / 7& o /!" %) - X%) xv0; DSM-IV {< %)% v7) 5-7(/? =() X )().%)%& WM; %) - X e`5 3k % )1? 2-1 =() / X# \ = _(; ] n Z7I.%)%& 7& o /.%)%& -7( ]<um; h 142

7 ) 7 8 9: 8(;0< 5(6... () *+(, -+./ (3 /"2$+$ $01$? ]%& = 9 ` # :(BAI) 31 4$/56$ 7 & o=() b ; 6k - \ " #.% )-1 a44) # 7 X <.@ fb 21 I =() #;m KS uv0; X=- 29( 7M (b4` XKKS (M X- 3) % ;? ]%& =- %) 9 # I =I # -1- # (.%) =I. 9 5/a` 21 ) )( R.%) = 8 X 7M.%) =I 1 5/jd C? " 76 C.(b4 X; Kk) %)%& _<S v@? 2-1 # uv0; =- #.@ ]k *<us ƒ; uv0; :u ::;< =>: 2 v(? ]kuu \0) xv0; W:+ I ]k v7) 9 )-1 2 S X C? 2-1 =().% =67 ) JL; - )-1 :B> ;? TU =Q - ; f5 = %7 I #.%& «J» = ` % G; ; b5 = =Q - _ %I BH X%& ;HI ƒ; %& u; g t;; %& g )-1 $ C '!",) A;.@ ]k SPSS 1 9 _) - =67 P7) 3KM;.%& =67 =N7%O B) 3KM;. - N7 * 1- Black, Ister & Garbin 143

8 D?E+ = CL6; R $ M) #>) 3q&!" N7 Z%A.@ =%&. 9 H1/I 4/5J /" 3AK 1 () /LE - M$/+$ NO+ (G) F. 4/5J/I $/$ 4/5J/I $+E7$ M$/+$ E/ E/5f E/b4 NO+ f/aj E/`` E/jj H1/I 4/5J $+E7$ M$/+$ NO+ `/4a f/j4 `/`5 E/E5 `/a j/dd PQ /LE 9>)? =Q 1 TU =Q =Q 1 4/5J /" ET1$ /LE T?& $/1) /" N1 S+?$ C (R) F. (4/5J /I H1/I W $ 5/faa 5/ff 5/Ea Y57 $H- 5/555 5/555 5/555 F 45/4j d/ad jd/be NO+ U$W ab5/f a`5/45 5EE/5. $2X * U$W ab5/f a`5/45 5EE/5 ET1$ /LE TU =Q 1? =Q =Q 1 U$/L V=H = ]6; / % 20) ` Z%A (45/4j) =%& :M F / R 1 ) - TU 2Q 1 21 >)0) tk #.%& R P<5/555 h A;.%) ]6; >%( TU =Q 1 TU =Q 1? = 2 ; P7).%

9 ) 7 8 9: 8(;0< 5(6... () *+(, -+./ (3 = ]6; / % 20) P7) # ( =%& :M F / O X@ R 1 ) - 9>)? 2Q 1 21 >)0) tk #.%& R P<5/555 h (d/ad) >%( 9>)? Q 1 1 = 2 ; P7) A;.%) ]6;.% 70? =Q = ]6; ` Z%A P7) A; (jd/be) =%& :M F / O X@ R 1 ) 2Q 1 21 >)0) tk #.%& R P<5/555 h A;.%) ]6; =Q =Q 1? = 2 ; P7).% 70 /"E+ Z / # X%& 7U " 21 # O ]k /. A ]6; # I 20)?!" 7.%)/ % ; # P7) P7) # I A ]6; TU =Q 1 G Xq X7K/ (aaa) $ %)1 X Xq (aa4) 9K/ 7 (aae) / B) X3K X_/ X" (aad) 97: 7K Xc # # (.%& ( (`55j) 2 #I # I A ]6; 9>)? =Q 1 )C #( (aab) 2 > c (`555) 2 > p)91 7 P7) ; X#% (aae) -7 [ C (`55) 2 L( ci%) (aad) G :" (b4d) X@ 0) (`55) -; (`555) yi 145

10 # # (.%& ( (`55d) (I K #(O 7 P7) # I A =Q 1 2 L( & 7 %& ( (`55E) L #(O (aaa).%& ( ) (`55b) 2 L( #; (`55b) - X? Y!" %Y& ) 7U& _KS ~ U.- " 6+S >7v>) 7U& _KS - A; ta 7q).%/ P7).& is = ( ]S<+ 2&q&1 R8 +? & 76.%7 G: % ; ` Z #.(`55E X #(O q - 3) aa` X p)91) %) ]S<+?? / %) A R8 {% XBqq Xaa4 X#(O ) %)1 ]67 ~</ + 91%%;.@ 70 %-) - # 7) #.(a4d? > # # (aaj) p)91 X 2 ( L&1 I 21. A ]6;?! G X?! I U = + I ;k ; 7: X A -%%; b.(aaj X - % ) & ZR # - I YI _<YS YU -1 \ Y (a4) # =& KU >Y ( =%S.%I %" :; U 29( % 1 6+S A XI # 3 X % ]S<+ X) # W:+. >7 ) 9 Xxv& A 6+S 21 > ( %) 6+S I 1- Eysenck 3- Reidy & Richards 2- Radmosky & Rachman 146

11 ) 7 8 9: 8(;0< 5(6... () *+(, -+./ (3 %) 8 - ) U- ;S<+ 9) 1 _> > ( #70 ƒk I 20) ) =%& v7) 1 )() ]<L0 A;!" # > ŒU! X)() GI G X(9:; < -1 =>0) Is )0) #L( I U 0" - =67 # ;1 ]R & k; X%L )0) 21 ; %&:) =%&. 8 A; JK7v ]:+ 2L ]k %R ]R I 0" & =67!" 70 )() G - X& _) ]67 #.& 7U " 21 P7) 70 2(+ ; & A NA W+ ba5/5d/5` ba5/54/e ba5/`/5 : ; : ) ; :.o" ; 147

12 References V1H +!? X 7 -ZR/ - G7.(b4d) =%( X2 -#.9:; X0) 7; _KS =%L0) X9:; =>0) X$ 7H )0),&.(b45) :/ % X= -2 %( X;LK 6RA X :M X.`je`Xb` X =(& XG76 Z XE <?+$ H: X:A Y Z<7U ) ]S<+.- (?.(b4d)?%(m X; KS X7 [ 2 X X07? <7: 2 ( 6.`deb` Xb =(& XG70 Z XEQH Z<7U 2<7: %6k X(7 =%L0) X9:; =>0) X$ 7H +!? X07? Z<7U :A Y.9:; X0) 7; _KS X:A Y Z<7U <7:Y 2 Y.(b4) 2! X; Kk.2 ; q&9h) 77) XH1 7H<+$ $ 7H\ +!? \ = L& ) L&1.(b4j)? X#& %:S 7; _KS =%L0) X9:; =>0) X$ 7H +!? Xt Z7).- ".9:; X0) Z<7U <7: 2(+ 0-1.(b4f) 2! X8 =%L0) X9:; =>0) X$ 7H +!? X? :A \.9:; X0) 7; _KS e Z<7U 2(+ 2 9.(b4f) % XKKS(M X Y? Z<7YU :A Y Z<7U XY,) - :A.b4f 2- XE b =(& X5 = XEQH<+$ () Z<7U 2.- " xu& 7U& >.(b4`) % XKKS (M =>0) X2 ; q&9h) 77) XH1 7H<+$ $/E\ +!?.:A Y.2 ; X2 ) 7& % ]%U q&9" _KS 148

13 ) 7 8 9: 8(;0< 5(6... () *+(, -+./ (3 [ X 2) L&1.(b4d) %( X.%( X@ 0)._O =(& X_ = X2$/ O<+$ +T+$ E.$ Amir, N.; Bower, E.; Briks, J.; & Freshman, M. (2003). Implicit Memory for Negative and Positive Social Information in Individuals with and without Social Anxiety, Cognition and Emotion, 17(4), Bevker, W., Rass, C., Anderikh, L., & Margraf, M. (1999). Memory Deficits in Patients with DSM-IV General Anxiety Disorder, Psychopathology, 34(3), Bower, G.H. (1981). Mood and Memory, American Psychologist, 22, Ceschi, G. Der Linden, N.V., Dunker, D., Perroud, A., & Bredart, S. (2003). Futher Exploration Memory Bias in Compulsive Washers, Behaviour Ressarch and Therapy, 41, Cloitre, M., Sexiny, P.I., Heimberg, J.K., Helter, J.M., & Libowitz, M.C. (1995). Automaticity and the Anxiety Disorders, Behaviour Research and Therapy, 33, Eysenck, M.W. (1997). Theoretical Cognitive Psychology and Mood Disorders, In P.R. Martin (Ed), Handbook of Behavior Therapy and Psychological Science (pp ). New York: Pergamon. Eysenk, M.W., & Kean, M.T. (2000). Cognitive Psychology: A Student Hand Book (4 th ), UK: Psychology Press. Friedman, B.H., Thayer, J.F., & Borkovec, T.D. (2000). Explicit Memory Bias for Threat Words in Generalized Anxiety Disorder, Behavior Therapy, 31, Hiont, K.O., Cisler, J.M., & Tolin, D.F. (2007). Quality of Life in the Anxiety Disorders: A Meta-analytic Review, Clinical Psychology Review, 27, Killiz, M.J. (1998). Publication Trends in Individual Anxiety Disorders: Journal of Anxiety Disorders, 22, Keog Edmund, Oillon Catherine Georgiou George, Hunt Caroline (2001). Selective Attentional Biases for Physical Threat in Physical Anxiety Sensitivity Anxiety Disorders, Behavior Therapy,

14 Londeh, S.L.,Vixtrom, R.M., Vesterlound, A.J., & Oust, J.k., (2003). Postevent Rumination and Recall Bias for a Social Performance Event in High and Low Socially Anxious Individuals, Cognitive Therapy and Research, 27, MacLeod, C.M., Rotenford, P.A. (1999). The Influence of Attention at Encoding on Direct and Indirect Remembering, Acta Psychologica, 98 (2-3), Mathews, A. (1999). Cognitive Psychology and Emotional Disorders, New York: Wiley. Mathews, A. (2001). Advanced Educational Psychology, New York: Oxford University Press. Mathews, A.; & Mcleod, C. (1994). Cognitive Approaches to Emotion and Emotion Disorder, Annual Review of Psychology, 45, Mogg, K, Mathews, A, & Eysenck, M.(1992). Attentional Bias Othreat in Clinical Anxiety States, Cognition and Emotion, 6, Mogg, K,. Kentish, J, Bradiy, M., (1993). Effects of Psychological Treatment of Cognitive Bias in Generalized Anxiety Disorder, Behavior Research and Therapy, 33, Moog, K., Bradley, B.P. (1998). A Cognitive-motivational Analysis of Anxiety, Behavior Research and Therapy, 36, Paiberbadhaim, B., & Dominikiulimi, E. (2005). A Comparison of Attentional Biases and Memory Biases in Women with Social Phobia and Major Depression, Journal of Abnormal Psychology, 114, Rachman, S. (1998). A Congnitive theory Obsessions, Elaborations. Behavior Research and Therapy, 36, Rachman, S., & Dasilva, R. (1999). Memory Bias in General Anxiety Disorder, Englewood Cliffs, NJ: Prentice-Hall. Radmosky, A.S., and Rachman, S. (2004). Memory Bias in Obsessive- Compulsive Disorder, Behavior Research and Therapy, 37, Rappy, A.S., Kallom, M.C., Melvill, D.N., Kraft, R., & Rodny, K.S. (1994). Repeated Checking Really Does Cause Memory Distrust, Behaviour Research and Therapy, 44,

15 ) 7 8 9: 8(;0< 5(6... () *+(, -+./ (3 Reidy, J., Richards, A. (1997). Anxiety and Memory, Behavior Research and Therapy, 35, Reimon, A.S., & Mcnally, R.J. (1995). Memory Bias in General Anxiety Disorder, Behaviour, Research and Therapy, 37, Salkovskis, P.M. (1985). Obsessional-compulsive Problems: A Cognitive- Behavioral Analysis, Behavior Research and Therapy, 23, Tolin, D.F. (2003). Memory and Memory Vias in Obsessive-compulsive Disorder, Behavior Research and Therapy, 39, 913, 927. Williams, J.M.G. (1997). Cognitive Psychology and Emotional Disorders (2 nd ed). Chichester, England, Wiley. 151

,,,,..,,., {. (, ),, {,.,.,..,,.,.,,....... {.. : N {, Z {, Q {, Q p { p{ {. 3, R {, C {. : ord p {. 8, (k) {.42,!() { {. 24, () { {. 24, () { {. 25,., () { {. 26,. 9, () { {. 27,. 23, '() { ( ) {. 28,

More information

P a g e 3 6 of R e p o r t P B 4 / 0 9

P a g e 3 6 of R e p o r t P B 4 / 0 9 P a g e 3 6 of R e p o r t P B 4 / 0 9 p r o t e c t h um a n h e a l t h a n d p r o p e r t y fr om t h e d a n g e rs i n h e r e n t i n m i n i n g o p e r a t i o n s s u c h a s a q u a r r y. J

More information

! "#$%& ' () * +, -./

! #$%& ' () * +, -./ ! "#%& ' () * +, -./ 2 1 %01 )2.6!"# % &'( %)*+,-. /# %0 %#-&,01234 5": 2D /2C!"#! ; # 100 234 @A2,0 0 /0.#0 /, "= - :# ; 5" :,0 2#;+ A0, L 5"A0.#0 2 I%#J,0 1234 /K E%.AA* H /,*# G /,#' E%,0!F %,.G

More information

T h e C S E T I P r o j e c t

T h e C S E T I P r o j e c t T h e P r o j e c t T H E P R O J E C T T A B L E O F C O N T E N T S A r t i c l e P a g e C o m p r e h e n s i v e A s s es s m e n t o f t h e U F O / E T I P h e n o m e n o n M a y 1 9 9 1 1 E T

More information

!" # ) *+ Downloaded from yafte.lums.ac.ir at 4: on Saturday September 29th = .%, +e" /2. :01* ".

! # ) *+ Downloaded from yafte.lums.ac.ir at 4: on Saturday September 29th = .%, +e /2. :01* . " # ) *+ &'($ % Downloaded from yafte.lums.ac.ir at 4:4 +0330 on Saturday September 29th 208 3 2*." $ " #, 4 " *3 *+(, '0 02( ( *+(, $'( )* *+(, -$$(../." $, 4 " 6 72,)) / 96 )'( / 2 # / %$ # / 96/2/27:

More information

f;g,7k ;! / C+!< 8R+^1 ;0$ Z\ \ K S;4 i!;g + 5 ;* \ C! 1+M, /A+1+> 0 /A+>! 8 J 4! 9,7 )F C!.4 ;* )F /0 u+\ 30< #4 8 J C!

f;g,7k ;! / C+!< 8R+^1 ;0$ Z\ \ K S;4 i!;g + 5 ;* \ C! 1+M, /A+1+> 0 /A+>! 8 J 4! 9,7 )F C!.4 ;* )F /0 u+\ 30< #4 8 J C! 393/09/0 393//07 :,F! ::!n> b]( a.q 5 O +D5 S ١ ; ;* :'!3Qi C+0;$ < "P 4 ; M V! M V! ; a 4 / ;0$ f;g,7k ;! / C+!< 8R+^ ;0$ Z\ \ K S;4 "* < 8c0 5 *

More information

h : sh +i F J a n W i m +i F D eh, 1 ; 5 i A cl m i n i sh» si N «q a : 1? ek ser P t r \. e a & im a n alaa p ( M Scanned by CamScanner

h : sh +i F J a n W i m +i F D eh, 1 ; 5 i A cl m i n i sh» si N «q a : 1? ek ser P t r \. e a & im a n alaa p ( M Scanned by CamScanner m m i s t r * j i ega>x I Bi 5 n ì r s w «s m I L nk r n A F o n n l 5 o 5 i n l D eh 1 ; 5 i A cl m i n i sh» si N «q a : 1? { D v i H R o s c q \ l o o m ( t 9 8 6) im a n alaa p ( M n h k Em l A ma

More information

( ) = ( ) ( ) = ( ) = + = = = ( ) Therefore: , where t. Note: If we start with the condition BM = tab, we will have BM = ( x + 2, y + 3, z 5)

( ) = ( ) ( ) = ( ) = + = = = ( ) Therefore: , where t. Note: If we start with the condition BM = tab, we will have BM = ( x + 2, y + 3, z 5) Chapter Exercise a) AB OB OA ( xb xa, yb ya, zb za),,, 0, b) AB OB OA ( xb xa, yb ya, zb za) ( ), ( ),, 0, c) AB OB OA x x, y y, z z (, ( ), ) (,, ) ( ) B A B A B A ( ) d) AB OB OA ( xb xa, yb ya, zb za)

More information

Parts Manual. EPIC II Critical Care Bed REF 2031

Parts Manual. EPIC II Critical Care Bed REF 2031 EPIC II Critical Care Bed REF 2031 Parts Manual For parts or technical assistance call: USA: 1-800-327-0770 2013/05 B.0 2031-109-006 REV B www.stryker.com Table of Contents English Product Labels... 4

More information

P a g e 5 1 of R e p o r t P B 4 / 0 9

P a g e 5 1 of R e p o r t P B 4 / 0 9 P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e

More information

35H MPa Hydraulic Cylinder 3.5 MPa Hydraulic Cylinder 35H-3

35H MPa Hydraulic Cylinder 3.5 MPa Hydraulic Cylinder 35H-3 - - - - ff ff - - - - - - B B BB f f f f f f f 6 96 f f f f f f f 6 f LF LZ f 6 MM f 9 P D RR DD M6 M6 M6 M. M. M. M. M. SL. E 6 6 9 ZB Z EE RC/ RC/ RC/ RC/ RC/ ZM 6 F FP 6 K KK M. M. M. M. M M M M f f

More information

B8" : 7& ) &," :&,) E1

B8 : 7& ) &, :&,) E1 '()* # $% &!" #!" # $!" 5 6 & 4 3 21". / 0$". ( %) *+,( ' %&. A, 0$" ;4 '@; 2 =>?

More information

semi-annual Activities Fair, aimed at extra-cwrricular activities which the School

semi-annual Activities Fair, aimed at extra-cwrricular activities which the School OL OOH * 5 E B E ** -- E B < Pk & Ck** H - P U M 3 Q C B P k ** C P** >& B C C $2 $6 94 j q *B «>* 1 PC B W H 400 P - «VB E L 14- > C H C ~ E L H H [ * q H B Bk "B " G! O - F x- k x* L V CV 10 4 -C B F

More information

Assignment. Name. Factor each completely. 1) a w a yk a k a yw 2) m z mnc m c mnz. 3) uv p u pv 4) w a w x k w a k w x

Assignment. Name. Factor each completely. 1) a w a yk a k a yw 2) m z mnc m c mnz. 3) uv p u pv 4) w a w x k w a k w x Assignment ID: 1 Name Date Period Factor each completely. 1) a w a yk a k a yw 2) m z mnc m c mnz 3) uv p u pv 4) w a w x k w a k w x 5) au xv av xu 6) xbz x c xbc x z 7) a w axk a k axw 8) mn xm m xn

More information

MULTIPLE PRODUCTS OBJECTIVES. If a i j,b j k,c i k, = + = + = + then a. ( b c) ) 8 ) 6 3) 4 5). If a = 3i j+ k and b 3i j k = = +, then a. ( a b) = ) 0 ) 3) 3 4) not defined { } 3. The scalar a. ( b c)

More information

Scripture quotations marked cev are from the Contemporary English Version, Copyright 1991, 1992, 1995 by American Bible Society. Used by permission.

Scripture quotations marked cev are from the Contemporary English Version, Copyright 1991, 1992, 1995 by American Bible Society. Used by permission. N Ra: E K B Da a a B a a, a-a- a aa, a a. T, a a. 2009 Ba P, I. ISBN 978-1-60260-296-0. N a a a a a, a,. C a a a Ba P, a 500 a a aa a. W, : F K B Da, Ba P, I. U. S a a a a K Ja V B. S a a a a N K Ja V.

More information

ers The Extraordinary Boogie and Swing Festival MUNICH GERMANY 9

ers The Extraordinary Boogie and Swing Festival MUNICH GERMANY 9 W!!! C, E p, C J 95 RT H v D L T BI 10 N P f B 70 5 z V D AY b T Ex B Fv 28.02. - 04.03. MUNICH 1 GERMANY 9 R O C KT H AT W I N G. C O M WING ENT F O LD DLY PRE R WO PROU 14 5 DAY HT G I N UIC M E LIV

More information

2006 38 (3) : 392 398 A cta Psychologica S in ica ( 510631) 1152 5 : 18 5 8 9 5 R395 1 [ 1 ] ; [ 2 ] 1995 Adrian W ells 1 ( type1 worry) II ( type2 worry) II (metaworry) [ 3 ] 1 II1 1 : 1 ( habituation

More information

kind read i i i i i i

kind read i i i i i i T u Mu P W NNG: Wu 1J1:9 u P OUT, 1J1: 6-10. u u u, u u, u' u u. v v 53:10-1 1' LXX x, u b : P u, N u, v u u u ( P ' "5 v" k ) k z u) ( ( k, u) ku ( u, k k, ub) ( u b u) k ( b Mk u, Ju) 1 J1:9 T Pb- v

More information

wi& be demonstrated. Ilexbert Arkro,

wi& be demonstrated. Ilexbert Arkro, 8( P C B E L B A k> D A 10 O N O k jk \ CH 12 B R Z G kxj7~53> P C C 20 A A P O P 3 x G H kv 7 B5! &$ L N M k APO HM M B / Bk K j R 3(330 C BH& B k C j 2jB A D C & Dk M L 12 H R > APO k L E k M k APO M

More information

176 5 t h Fl oo r. 337 P o ly me r Ma te ri al s

176 5 t h Fl oo r. 337 P o ly me r Ma te ri al s A g la di ou s F. L. 462 E l ec tr on ic D ev el op me nt A i ng er A.W.S. 371 C. A. M. A l ex an de r 236 A d mi ni st ra ti on R. H. (M rs ) A n dr ew s P. V. 326 O p ti ca l Tr an sm is si on A p ps

More information

Downloaded from tumj.tums.ac.ir at 5:29 IRST on Friday March 8th )78 . ZO " Y(' 4 P &'! U P C,1 3 [" 2 L :) )! # D)U \" 1 P 0^ 3 ) Y3 h 3 $i",)!

Downloaded from tumj.tums.ac.ir at 5:29 IRST on Friday March 8th )78 . ZO  Y(' 4 P &'! U P C,1 3 [ 2 L :) )! # D)U \ 1 P 0^ 3 ) Y3 h 3 $i,)! (!&)) '!& "#$%! GHQ-12! "#$ %&' ( (4)5) + -. 3**(.) 1#- '2 -. 3*(.) )* +, $ -. * ** 6)78 ( $% &'!"# :)9.36 0# 1 2! 3 4 54/ +, +%- %..!) 4 < +0 2.+!# :5 ; GHQ/89 "7 3 %. : $. 5 "7!"@2 A %4 > 0? =.!";2 B7

More information

Supplementary Information

Supplementary Information If f - - x R f z (F ) w () () f F >, f E jj E, V G >, G >, E G,, f ff f FILY f jj ff LO_ N_ j:rer_ N_ Y_ fg LO_; LO_ N_; N_ j:rer_; j:rer_ N_ Y_ f LO_ N_ j:rer_; j:rer_; N_ j:rer_ Y_ fn LO_ N_ - N_ Y_

More information

Trade Patterns, Production networks, and Trade and employment in the Asia-US region

Trade Patterns, Production networks, and Trade and employment in the Asia-US region Trade Patterns, Production networks, and Trade and employment in the Asia-U region atoshi Inomata Institute of Developing Economies ETRO Development of cross-national production linkages, 1985-2005 1985

More information

A L A BA M A L A W R E V IE W

A L A BA M A L A W R E V IE W A L A BA M A L A W R E V IE W Volume 52 Fall 2000 Number 1 B E F O R E D I S A B I L I T Y C I V I L R I G HT S : C I V I L W A R P E N S I O N S A N D TH E P O L I T I C S O F D I S A B I L I T Y I N

More information

Sticky News. Also our Facebook page is now live.

Sticky News. Also our Facebook page is now live. Sk Nw k j v #07 WINTER 2011 Fm Ow C W! W w bk w v b v m m b k w v m m Y w m m w v v m! T P C Sm B, T C, Gvv H K R w b v M C S A Fbk w v YI v v w m bk m b m w A H O w bk w w v w m m b m v qk w I w k ABC

More information

Scilab Textbook Companion for Linear Algebra and Its Applications by D. C. Lay 1

Scilab Textbook Companion for Linear Algebra and Its Applications by D. C. Lay 1 Scilab Textbook Companion for Linear Algebra and Its Applications by D. C. Lay 1 Created by Animesh Biyani B.Tech (Pursuing) Electrical Engineering National Institute Of Technology, Karnataka College Teacher

More information

2# / "-: ;<( 1= +

2# / -: ;<( 1= + (1) 8 1385 23-16 : 1('( )* +,-&.,/0 1(!"#$ %# & '& 2#3-4-5 6/ 780 9-5"-: ;, H/I M#? 85/4/13:E

More information

`G 12 */" T A5&2/, ]&>b ; A%/=W, 62 S 35&.1?& S + ( A; 2 ]/0 ; 5 ; L) ( >>S.

`G 12 */ T A5&2/, ]&>b ; A%/=W, 62 S 35&.1?& S + ( A; 2 ]/0 ; 5 ; L) ( >>S. 01(( +,-. ()*) $%&' "#! : : % $& - "#$ :, (!" -&. #0 12 + 34 2567 () *+ '!" #$%& ; 2 "1? + @)&2 A5&2 () 25& 89:2 *2 72, B97I J$K

More information

Examples: Identify three pairs of parallel segments in the diagram. 1. AB 2. BC 3. AC. Write an equation to model this theorem based on the figure.

Examples: Identify three pairs of parallel segments in the diagram. 1. AB 2. BC 3. AC. Write an equation to model this theorem based on the figure. 5.1: Midsegments of Triangles NOTE: Midsegments are also to the third side in the triangle. Example: Identify the 3 midsegments in the diagram. Examples: Identify three pairs of parallel segments in the

More information

Practice TEST Unit 3: Congruence

Practice TEST Unit 3: Congruence Geometry Practice Test Unit 3 ongruence (G.O.B.6 - G.O..9) Name: Date: Pd: 1) Isometric transformations preserve key characteristics of a shape. Which of the following transformations is NOT an isometry?

More information

( cop ing) , Gentry (1983) : ( Science of Cop ing) [ 1 ] Van D ick W agner ( 2001) (mobbing), [ 9 ], Sirbaskn Cohen (2001) ,,,

( cop ing) , Gentry (1983) : ( Science of Cop ing) [ 1 ] Van D ick W agner ( 2001) (mobbing), [ 9 ], Sirbaskn Cohen (2001) ,,, 2005, 37 (3) : 413 419 A cta Psychologica S in ica : 3 (, 215021) 1806, 30 :, SARS, ; 0. 86, 0. 79, 63 0. 71, 30,,, B849 1 ( cop ing), Gentry (1983) : ( Science of Cop ing) [ 1 ],,, ;, [ 2, 3 ], [ 4 7

More information

On A General Formula of Fourth Order Runge-Kutta Method

On A General Formula of Fourth Order Runge-Kutta Method On A General Formula of Fourth Order Runge-Kutta Method Delin Tan Zheng Chen Abstract In this paper we obtain a general formula of Runge-Kutta method in order with a free parameter t By picking the value

More information

Last time: Recall that the fibers of a map ϕ : X Ñ Y are the sets in ϕ 1 pyq Ď X which all map to the same element y P Y.

Last time: Recall that the fibers of a map ϕ : X Ñ Y are the sets in ϕ 1 pyq Ď X which all map to the same element y P Y. Last time: Recall that the fibers of a map ϕ : X Ñ Y are the sets in ϕ 1 pyq Ď X which all map to the same element y P Y. Last time: Recall that the fibers of a map ϕ : X Ñ Y are the sets in ϕ 1 pyq Ď

More information

Submitted to 20th IEEE Conference on Decision and Control, San Diego, Ca. Dec Analytic Models of Multitask Processes* Timothy L.

Submitted to 20th IEEE Conference on Decision and Control, San Diego, Ca. Dec Analytic Models of Multitask Processes* Timothy L. Submitted to 20th IEEE Conference on Decision and Control, San Diego, Ca. Dec. 1981 20th CDC Analytic Models of Multitask Processes* Timothy L. Johnson Lecturer Senior Scientist Department of Electrical

More information

Pithy P o i n t s Picked I ' p and Patljr Put By Our P e r i p a tetic Pencil Pusher VOLUME X X X X. Lee Hi^h School Here Friday Ni^ht

Pithy P o i n t s Picked I ' p and Patljr Put By Our P e r i p a tetic Pencil Pusher VOLUME X X X X. Lee Hi^h School Here Friday Ni^ht G G QQ K K Z z U K z q Z 22 x z - z 97 Z x z j K K 33 G - 72 92 33 3% 98 K 924 4 G G K 2 G x G K 2 z K j x x 2 G Z 22 j K K x q j - K 72 G 43-2 2 G G z G - -G G U q - z q - G x) z q 3 26 7 x Zz - G U-

More information

5-1 Practice Form K. Midsegments of Triangles. Identify three pairs of parallel segments in the diagram.

5-1 Practice Form K. Midsegments of Triangles. Identify three pairs of parallel segments in the diagram. 5-1 Practice Form K Midsegments of Triangles Identify three pairs of parallel segments in the diagram. 1. 2. 3. Name the segment that is parallel to the given segment. 4. MN 5. ON 6. AB 7. CB 8. OM 9.

More information

EP elements and Strongly Regular Rings

EP elements and Strongly Regular Rings Filomat 32:1 (2018), 117 125 https://doi.org/10.2298/fil1801117y Published by Faculty of Sciences and Mathematics, University of Niš, Serbia Available at: http://www.pmf.ni.ac.rs/filomat EP elements and

More information

M e d i c a l P s y c h o l o g y U n i t, D e p a r t m e nt of C l i n i c a l N e u r o s c i e n c e s a n d M e n t a l H e a l t h Fa c u l t y

M e d i c a l P s y c h o l o g y U n i t, D e p a r t m e nt of C l i n i c a l N e u r o s c i e n c e s a n d M e n t a l H e a l t h Fa c u l t y R. Fonseca; M. Figueiredo-Braga M e d i c a l P s y c h o l o g y U n i t, D e p a r t m e nt of C l i n i c a l N e u r o s c i e n c e s a n d M e n t a l H e a l t h Fa c u l t y of M e d i c i n e,

More information

Generalized*Gauge*Theories* in*arbitrary*dimensions

Generalized*Gauge*Theories* in*arbitrary*dimensions Generalized*Gauge*Theories* in*arbitrary*dimensions N.K. Watabiki gauge*field gauge*parameter derivative curvature gauge*trans. Chern;Simons Topological* Yang;Mills Yang;Mills = Quantization of Abelian

More information

CMSC 313 Lecture 17 Postulates & Theorems of Boolean Algebra Semiconductors CMOS Logic Gates

CMSC 313 Lecture 17 Postulates & Theorems of Boolean Algebra Semiconductors CMOS Logic Gates CMSC 313 Lecture 17 Postulates & Theorems of Boolean Algebra Semiconductors CMOS Logic Gates UMBC, CMSC313, Richard Chang Last Time Overview of second half of this course Logic gates &

More information

cº " 6 >IJV 5 l i u $

cº  6 >IJV 5 l i u $ !"!#" $ #! &'!!"! (!)*)+), :;23 V' )! *" #$ V ' ' - & +# # J E 1 8# J E.R > +.+# E X78 E.R1 8#[0 FZE > 1 8# 0IJ"U 2A > 1 8# J EK? FZE a2 J+# ;1 8# J EK. C B.> B.> Y $ 1 8# J E. 4 8 B.EK\ X Q8#\ > 1 8#

More information

-$! " #$%&! ' () * +,,,)* -./ ( 01! 6 %&! +,,.: - 1?* 'F! %&! '3*4 -$ ):7 +,,

-$!  #$%&! ' () * +,,,)* -./ ( 01! 6 %&! +,,.: - 1?* 'F! %&! '3*4 -$ ):7 +,, ((((( +,-. ()* $%&' "#! : :!, %& ' ()*+ $ " -$! " #$%&! ' () * +,,,)* -. ( 01! '% 6):7 -$'1& '*6 )78 %&! +,, 79.& 2* '3*4 0 (A 6>* & ' BC D$!E.?@$* '*! ;4 6 %&! +,,.: - 1?* 'F! %&! '3*4 -$ ):7

More information

J# k# JOH Q } ` = ~ [~ H < [24-294] Neglect of mathematics works injury to all knowledge. Jx K # ~ [~ H

More information

1 " (, 2! 3 ./ / 0 !"# $% & '( )* +", '-./ / 0 *+" -%.! #& #$%!. ! &/ 012/3 4 5/6 !"# .7 8 ABC

1  (, 2! 3 ./ / 0 !# $% & '( )* +, '-./ / 0 *+ -%.! #& #$%!. ! &/ 012/3 4 5/6 !# .7 8 ABC 1 " (, 2! 3./ / 0!"#!"# $% & '( )* +", '-./ / 0!" ' () #& #$%! #& & *+" -%.! #& #$%!.! &/ 012/3 4 5/6.7 8 =>9:;: /9:;;?3@. ABC : +2" O:NGM x= W*#y M jr :z x J=:5 D { 5 : +2" Q. +z }$ 4-4= 4- - : LK"

More information

arxiv: v1 [math.ra] 25 May 2013

arxiv: v1 [math.ra] 25 May 2013 Quasigroups and Related Systems 20 (2012), 203 209 Congruences on completely inverse AG -groupoids Wieslaw A. Dudek and Roman S. Gigoń arxiv:1305.6858v1 [math.ra] 25 May 2013 Abstract. By a completely

More information

A WORD To V eteran Spiritualists.

A WORD To V eteran Spiritualists. %U g U v L ^ ; ^ g )! v ^ L 7 Y 3 393 8 & d z ^ k ^ dv g d d kd d g - d dx d d dd d - ~ ---------- v g g d - v d U g d d d Q v g - k g g vg d d g g g g g d g U j k g d k q g g v d - d g d! v g d g d d

More information

single-layer transition metal dichalcogenides MC2

single-layer transition metal dichalcogenides MC2 single-layer transition metal dichalcogenides MC2 Period 1 1 H 18 He 2 Group 1 2 Li Be Group 13 14 15 16 17 18 B C N O F Ne 3 4 Na K Mg Ca Group 3 4 5 6 7 8 9 10 11 12 Sc Ti V Cr Mn Fe Co Ni Cu Zn Al Ga

More information

M $ 4 65\ K;$ 5, 65\ M $ C! 4 /2 K;$ M $ /+5\ 8$ A5 =+0,7 ;* C! 4.4/ =! K;$,7 $,+7; ;J zy U;K z< mj ]!.,,+7;

M $ 4 65\ K;$ 5, 65\ M $ C! 4 /2 K;$ M $ /+5\ 8$ A5 =+0,7 ;* C! 4.4/ =! K;$,7 $,+7; ;J zy U;K z< mj ]!.,,+7; V 3U. T, SK I 1393/08/21 :,F! 1393/10/29 ::!n> 2 1 /M + - /E+4q; Z R :'!3Qi M $,7 8$ 4,!AK 4 4/ * /;K "FA ƒf\,7 /;G2 @;J\ M $ 4 65\ K;$ 5, 65\ M $ C! 4 /2 K;$ M $ /+5\ 8$ A5 =+0,7 ;* C! 4.4/ =! K;$,7 $,+7;

More information

Factorization of weighted EP elements in C -algebras

Factorization of weighted EP elements in C -algebras Factorization of weighted EP elements in C -algebras Dijana Mosić, Dragan S. Djordjević Abstract We present characterizations of weighted EP elements in C -algebras using different kinds of factorizations.

More information

Radiometric Dating (tap anywhere)

Radiometric Dating (tap anywhere) Radiometric Dating (tap anywhere) Protons Neutrons Electrons Elements on the periodic table are STABLE Elements can have radioactive versions of itself called ISOTOPES!! Page 1 in your ESRT has your list!

More information

Inside! Your Impact...p 5 How You Raised Awareness...p 9 The Bigger Picture...p 14

Inside! Your Impact...p 5 How You Raised Awareness...p 9 The Bigger Picture...p 14 Ii! Y I... 5 H Y Ri A... 9 T Bi Pi... 14 W W v B, W W Gi f b i T. i fii) Fi F v (211 iq M, f i D F fii i i i. i, xii W. b 7 201 i f k ik f xiv f i T v 2017 i i i i i, i i i x ff fi fi-v i fi x M Fi W.

More information

:,,.. ;,..,.,. 90 :.. :, , «-»,, -. : -,,, -, -., ,, -, -. - «-»:,,, ,.,.

:,,.. ;,..,.,. 90 :.. :, , «-»,, -. : -,,, -, -., ,, -, -. - «-»:,,, ,.,. .,.,. 2015 1 614.8 68.9 90 :,,.. ;,. 90.,.,. :.. :, 2015. 164. - - 280700, «-»,, -. : -,,, -, -.,. -. -. -,, -, -. - «-»:,,, -. 614.8 68.9.,.,., 2015, 2015 2 ... 5... 7 1.... 7 1.1.... 7 1.2.... 9 1.3....

More information

CHEM 10113, Quiz 5 October 26, 2011

CHEM 10113, Quiz 5 October 26, 2011 CHEM 10113, Quiz 5 October 26, 2011 Name (please print) All equations must be balanced and show phases for full credit. Significant figures count, show charges as appropriate, and please box your answers!

More information

NVLAP Proficiency Test Round 14 Results. Rolf Bergman CORM 16 May 2016

NVLAP Proficiency Test Round 14 Results. Rolf Bergman CORM 16 May 2016 NVLAP Proficiency Test Round 14 Results Rolf Bergman CORM 16 May 2016 Outline PT 14 Structure Lamp Types Lab Participation Format for results PT 14 Analysis Average values of labs Average values of lamps

More information

! "#$#! % &' ( )* )#+,(

! #$#! % &' ( )* )#+,( (1) 8 1385 7-1 : " M.D.! M.D. M.D. MS.C. * M.D. 85/6/19:-D2 D6&F 5*8 @". / " M.D.+, -. M.D.%& ' ( )* M.D.#$.% " %. /!34% ( 9( /!34 9?/; (=8).. -#2 /!34 58 9:; * :-&./ 0 1 83/11/3 :9?! C* -D2 )E" @". 83/7/28

More information

Matrix Shapes Invariant under the Symmetric QR Algorithm

Matrix Shapes Invariant under the Symmetric QR Algorithm NUMERICAL ANALYSIS PROJECT MANUSCRIPT NA-92-12 SEPTEMBER 1992 Matrix Shapes Invariant under the Symmetric QR Algorithm Peter Arbenz and Gene H. Golub NUMERICAL ANALYSIS PROJECT COMPUTER SCIENCE DEPARTMENT

More information

Country

Country Total EU-12 89,6 89,4 85,7 82,9 85,9 86,9 87,4 EU-15 89,6 85,7 83,1 86,2 87,0 87,5 EU-25 87,9 A 95,1 90,2 88,0 90,8 88,2 93,7 B 80,7 91,1 84,6 84,3 86,3 89,6 85,8 D 95,1 94,1 86,1 86,3 88,0 86,4 89,4 D-W

More information

Worksheet A VECTORS 1 G H I D E F A B C

Worksheet A VECTORS 1 G H I D E F A B C Worksheet A G H I D E F A B C The diagram shows three sets of equally-spaced parallel lines. Given that AC = p that AD = q, express the following vectors in terms of p q. a CA b AG c AB d DF e HE f AF

More information

Y'* C 0!),.1 / ; ')/ Y 0!)& 1 0R NK& A Y'. 1 ^. ]'Q 1 I1 )H ;". D* 1 = Z)& ^. H N[Qt C =

Y'* C 0!),.1 / ; ')/ Y 0!)& 1 0R NK& A Y'. 1 ^. ]'Q 1 I1 )H ;. D* 1 = Z)& ^. H N[Qt C = (-) 393 F!/ $5 $% T K&L =>-? J (&A )/>2 I B!" GH 393/05/07 :K 393/07/23 :7b +B 0 )NO M / Y'* C a23 N/ * = = Z)& ^. ;$ 0'* Y'2 8 OI 53 = ;" ~" O* Y.b ;" ; ')/ Y'* C 0!),. / ; ')/ Y 0!)& 0R NK& A Y'. ^.

More information

Chapter 30 Design and Analysis of

Chapter 30 Design and Analysis of Chapter 30 Design and Analysis of 2 k DOEs Introduction This chapter describes design alternatives and analysis techniques for conducting a DOE. Tables M1 to M5 in Appendix E can be used to create test

More information

TUCBOR. is feaiherinp hit nest. The day before Thanks, as to reflect great discredit upon that paper. Clocks and Jewelry repaired and warranted.

TUCBOR. is feaiherinp hit nest. The day before Thanks, as to reflect great discredit upon that paper. Clocks and Jewelry repaired and warranted. W B J G Bk 85 X W G WY B 7 B 4 & B k F G? * Bk P j?) G j B k k 4 P & B J B PB Y B * k W Y) WY G G B B Wk J W P W k k J J P -B- W J W J W J k G j F W Wk P j W 8 B Bk B J B P k F BP - W F j $ W & B P & P

More information

Recognising nilpotent groups

Recognising nilpotent groups Recognising nilpotent groups A. R. Camina and R. D. Camina School of Mathematics, University of East Anglia, Norwich, NR4 7TJ, UK; a.camina@uea.ac.uk Fitzwilliam College, Cambridge, CB3 0DG, UK; R.D.Camina@dpmms.cam.ac.uk

More information

P. ERDÖS 2. We need several lemmas or the proo o the upper bound in (1). LEMMA 1. { d ( (k)) r 2 < x (log x)c5. This result is due to van der Corput*.

P. ERDÖS 2. We need several lemmas or the proo o the upper bound in (1). LEMMA 1. { d ( (k)) r 2 < x (log x)c5. This result is due to van der Corput*. ON THE SUM E d( (k)). k=i 7 ON THE SUM E d ( (k)) k-, P. ERDÖS*. 1. Let d(n) denote the number o divisors o a positive integer n, and let (k) be an irreducible polynomial o degree l with integral coe icients.

More information

Applying Phonetic Matching Algorithm to Tongue Twister Retrieval in Japanese

Applying Phonetic Matching Algorithm to Tongue Twister Retrieval in Japanese 1 1 n-gram 2 Applying Phonetic Matching Algorithm to Tongue Twister Retrieval in Japanese Michiko Yasukawa 1 and Hidetoshi Yokoo 1 In this paper, we propose a Japanese phonetic matching algorithm for tongue

More information

< < or a. * or c w u. "* \, w * r? ««m * * Z * < -4 * if # * « * W * <r? # *» */>* - 2r 2 * j j. # w O <» x <» V X * M <2 * * * *

< < or a. * or c w u. * \, w * r? ««m * * Z * < -4 * if # * « * W * <r? # *» */>* - 2r 2 * j j. # w O <» x <» V X * M <2 * * * * - W # a a 2T. mj 5 a a s " V l UJ a > M tf U > n &. at M- ~ a f ^ 3 T N - H f Ml fn -> M - M. a w ma a Z a ~ - «2-5 - J «a -J -J Uk. D tm -5. U U # f # -J «vfl \ \ Q f\ \ y; - z «w W ^ z ~ ~ / 5 - - ^

More information

SOLUTIONS TO EXERCISES FOR. MATHEMATICS 133 Part 2. I. Topics from linear algebra

SOLUTIONS TO EXERCISES FOR. MATHEMATICS 133 Part 2. I. Topics from linear algebra SOLUTIONS TO EXERCISES FOR MATHEMATICS 133 Part Fall 013 NOTE ON ILLUSTRATIONS. Drawings for several of the solutions in this file are available in the following document: http://math.ucr.edu/ res/math133/math133solutionsa.figures.f13.pdf

More information

N e w S t u d e n t. C o u n c i l M e n

N e w S t u d e n t. C o u n c i l M e n ZV. XX L GG L 3 942. 25 J b D b v D G... j z U 6 b Y DY. j b D.. L......&. v b v. z " 6 D". " v b b bv D v.... v z b.. k."... 92... G b 92. b v v b v b D ( 6) z v 27 b b v " z". v b L G. b. v.. v v. D

More information

necessita d'interrogare il cielo

necessita d'interrogare il cielo gigi nei necessia d'inegae i cie cic pe sax span s inuie a dispiegaa fma dea uce < affeandi ves i cen dea uce isnane " sienzi dei padi sie veic dei' anima 5 J i f H 5 f AL J) i ) L '3 J J "' U J J ö'

More information

Last 4 Digits of USC ID:

Last 4 Digits of USC ID: Chemistry 05 B Practice Exam Dr. Jessica Parr First Letter of last Name PLEASE PRINT YOUR NAME IN BLOCK LETTERS Name: Last 4 Digits of USC ID: Lab TA s Name: Question Points Score Grader 8 2 4 3 9 4 0

More information

Conditional Statement: Statements in if-then form are called.

Conditional Statement: Statements in if-then form are called. Monday 9/21 2.2 and 2.4 Wednesday 9/23 2.5 and 2.6 Conditional and Algebraic Proofs Algebraic Properties and Geometric Proofs Unit 2 Angles and Proofs Packet pages 1-3 Textbook Pg 85 (14, 17, 20, 25, 27,

More information

0# 123% 0#; &) # >0# G &G $ f 1)? $. E \(4) .4+,I '3 J##B( K> L >$H# V'B 0#>3 0 $) '3 J) X) $E :*#)

0# 123% 0#; &) # >0# G &G $ f 1)? $. E \(4) .4+,I '3 J##B( K> L >$H# V'B 0#>3 0 $) '3  J) X) $E :*#) : 2 1 0# 123% 0#; &) #!" + 0 0? @ ==. A $. 4 1. '3 5 :#$ $@%H. &F # >D%E 4 $ &F $ 0. $. '3 4)=@ ) @ G. =.4+,I 4)=@ '3 J##B( K> L ;= $. 6 P< >Q&FM =. &==. 4. G 3 10 $. M - 1# -( N G L $@%H

More information

5 questions, 3 points each, 15 points total possible. 26 Fe Cu Ni Co Pd Ag Ru 101.

5 questions, 3 points each, 15 points total possible. 26 Fe Cu Ni Co Pd Ag Ru 101. Physical Chemistry II Lab CHEM 4644 spring 2017 final exam KEY 5 questions, 3 points each, 15 points total possible h = 6.626 10-34 J s c = 3.00 10 8 m/s 1 GHz = 10 9 s -1. B= h 8π 2 I ν= 1 2 π k μ 6 P

More information

Matrix Differentiation

Matrix Differentiation Matrix Differentiation CS5240 Theoretical Foundations in Multimedia Leow Wee Kheng Department of Computer Science School of Computing National University of Singapore Leow Wee Kheng (NUS) Matrix Differentiation

More information

!" #$% &' # " 78 5%, & 42 5 (#) ^2S _0< HM" 1FX 0 $#, = # $D2 6 6R 6 8 = 8U L! 7 2 $#, H< 7 85 K b a#

! #$% &' #  78 5%, & 42 5 (#) ^2S _0< HM 1FX 0 $#, = # $D2 6 6R 6 8 = 8U L! 7 2 $#, H< 7 85 K b a# 82 74 +,- & saeed1788@gmail.com #$% &' 2 1 # " 78 5%, & 42 5 123! " # : 95/3/18 :*+, 94/5/14 :$# 62 < =>?@ $#, 1, (1992), 8 67 +,5 /0 12 3, 42 :+(, *" L NA #? * 6 65 # KLM, " ( 109 7?@ $#, TUL = 6 D H".L

More information

Graphing Square Roots - Class Work Graph the following equations by hand. State the domain and range of each using interval notation.

Graphing Square Roots - Class Work Graph the following equations by hand. State the domain and range of each using interval notation. Graphing quare Roots - lass Work Graph the following equations by hand. tate the domain and range of each using interval notation. 1. y = x + 2 2. f x = x 1. y = x + 4. g x = 2 x 1 5. y = x + 2 + 4 6.

More information

Model reduction of coupled systems

Model reduction of coupled systems Model reduction of coupled systems Tatjana Stykel Technische Universität Berlin ( joint work with Timo Reis, TU Kaiserslautern ) Model order reduction, coupled problems and optimization Lorentz Center,

More information

2. Linear recursions, different cases We discern amongst 5 different cases with respect to the behaviour of the series C(x) (see (. 3)). Let R be the

2. Linear recursions, different cases We discern amongst 5 different cases with respect to the behaviour of the series C(x) (see (. 3)). Let R be the MATHEMATICS SOME LINEAR AND SOME QUADRATIC RECURSION FORMULAS. I BY N. G. DE BRUIJN AND P. ERDÖS (Communicated by Prow. H. D. KLOOSTERMAN at the meeting ow Novemver 24, 95). Introduction We shall mainly

More information

Supplement to the papers on the polyserial correlation coefficients and discrepancy functions for general covariance structures

Supplement to the papers on the polyserial correlation coefficients and discrepancy functions for general covariance structures conomic Review (Otaru University of Commerce Vo.6 No.4 5-64 March 0. Suppement to the papers on the poyseria correation coefficients and discrepancy functions for genera covariance structures Haruhio Ogasawara

More information

TOPOLOGICAL GROUPS MATH 519

TOPOLOGICAL GROUPS MATH 519 TOPOLOGICAL GROUPS MATH 519 The purpose of these notes is to give a mostly self-contained topological background for the study of the representations of locally compact totally disconnected groups, as

More information

St Andrew s Academy Mathematics Department Higher Mathematics

St Andrew s Academy Mathematics Department Higher Mathematics St Andrew s Academy Mathematics Department Higher Mathematics VECTORS hsn.uk.net Higher Mathematics Vectors Contents Vectors 1 1 Vectors and Scalars EF 1 Components EF 1 3 Magnitude EF 3 4 Equal Vectors

More information

Local EleveD Wins Spectacular Game

Local EleveD Wins Spectacular Game G uu «w w, u b g b bu g B vw, bu v g u,, v, ub bu gu u w gv g u w, k wu u gw u k bu g w u, u v wu w, v u wu g g bu u, u u u w, z u w u u b g wu w k bu u u!, g u w u u w u Bv Vu «J G B 2 938 FY-X Y u u

More information

30 Zn(s) 45 Rh. Pd(s) Ag(s) Cd(s) In(s) Sn(s) white. 77 Ir. Pt(s) Au. Hg(l) Tl. 109 Mt. 111 Uuu. 112 Uub. 110 Uun. 65 Tb. 62 Sm. 64 Gd. 63 Eu.

30 Zn(s) 45 Rh. Pd(s) Ag(s) Cd(s) In(s) Sn(s) white. 77 Ir. Pt(s) Au. Hg(l) Tl. 109 Mt. 111 Uuu. 112 Uub. 110 Uun. 65 Tb. 62 Sm. 64 Gd. 63 Eu. Enthalpy changes: experimentally it is much easier to measure heat flow at const pressure - this is enthalpy q p = )H : also nearly all chemical reactions are done at constant pressure. Enthalpy (heat)

More information

and ALTO SOLO C H, Rnnciman. Woman's Mistake f*" M>rqut4te\ ol ting about wilh a crutch 00 ac- Gr,,,,d Ri ''*' d5 L o,

and ALTO SOLO C H, Rnnciman. Woman's Mistake f* M>rqut4te\ ol ting about wilh a crutch 00 ac- Gr,,,,d Ri ''*' d5 L o, BU AK A k A AD DA AB U XXX HA HUDAY U 3 92 3 > k z j - - Y Bk 73( 3 - Q H 2 H 9 k B 3 Bk 29 K 7 k 2 B k k k k Y Y D k Y A Uk x 22 B B x k - B B B 22 A B A 27 -- Ak A - - j B B D B Q A- U A-AK B k AD A

More information

NOTICE WARNING CONCERNING COPYRIGHT RESTRICTIONS: The copyright law of the United States (title 17, U.S. Code) governs the making of photocopies or

NOTICE WARNING CONCERNING COPYRIGHT RESTRICTIONS: The copyright law of the United States (title 17, U.S. Code) governs the making of photocopies or NOTICE WARNING CONCERNING COPYRIGHT RESTRICTIONS: The copyright law of the United States (title 17, U.S. Code) governs the making of photocopies or other reproductions of copyrighted material. Any copying

More information

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution

More information

Chapter 3. Antimagic Gl'aphs

Chapter 3. Antimagic Gl'aphs Chapter 3 Antimagic Gl'aphs CHAPTER III ANTIMAGIC GRAPHS 3.1 Introduction In 1970 Kotzig and Rosa [81] defined the magic labeling of a graph G as a bijection f from VuE to {1,2,... IV u EI } such that

More information

Secondary Support Pack. be introduced to some of the different elements within the periodic table;

Secondary Support Pack. be introduced to some of the different elements within the periodic table; Secondary Support Pack INTRODUCTION The periodic table of the elements is central to chemistry as we know it today and the study of it is a key part of every student s chemical education. By playing the

More information

Quaternion. Hoon Kwon. March 13, 2010

Quaternion. Hoon Kwon. March 13, 2010 Quaternion Hoon Kwon March 13, 2010 1 Abstract The concept of Quaternion is introduced here through the group and ring theory. The relationship between complex numbers (Gaussian Integers) and Quaternions

More information

Characteristic Numbers of Matrix Lie Algebras

Characteristic Numbers of Matrix Lie Algebras Commun. Theor. Phys. (Beijing China) 49 (8) pp. 845 85 c Chinese Physical Society Vol. 49 No. 4 April 15 8 Characteristic Numbers of Matrix Lie Algebras ZHANG Yu-Feng 1 and FAN En-Gui 1 Mathematical School

More information

Chapter 2 Segment Measurement and Coordinate Graphing

Chapter 2 Segment Measurement and Coordinate Graphing Geometry Concepts Chapter 2 Segment Measurement and Coordinate Graphing 2.2 Find length segments (1.3) 2.3 Compare lengths of segments (1.3) 2.3 Find midpoints of segments (1.7) 2.5 Calculate coordinates

More information

MAHARASHTRA STATE POWER GENERATION COMPANY LIMITED [Plot No. G-9, Prakashgad, Bandra (E), Mumbai ] Website:

MAHARASHTRA STATE POWER GENERATION COMPANY LIMITED [Plot No. G-9, Prakashgad, Bandra (E), Mumbai ] Website: MAHARASHTRA STATE POWER GENERATION COMPANY LIMITED [P N. G-9, Pkh, B (E), Mumb 400051] Wb: www.h. PBLIC NOTICE Su bj MSPGCL Au P Rvw (APR) P FY 2008-09 u MYT mwk, u u FY 2007-08 m FY 2009-10 (C N 115 2008)

More information

Fun and Fascinating Bible Reference for Kids Ages 8 to 12. starts on page 3! starts on page 163!

Fun and Fascinating Bible Reference for Kids Ages 8 to 12. starts on page 3! starts on page 163! F a Faa R K 8 12 a a 3! a a 163! 2013 a P, I. ISN 978-1-62416-216-9. N a a a a a, a,. C a a a a P, a 500 a a aa a. W, : F G: K Fa a Q &, a P, I. U. L aa a a a Fa a Q & a. C a 2 (M) Ta H P M (K) Wa P a

More information

Whitney Grummon. She kick started a fire in my soul Teaching me a tool to cleanse my mind That ll last a life time. That s how I will remember

Whitney Grummon. She kick started a fire in my soul Teaching me a tool to cleanse my mind That ll last a life time. That s how I will remember W Gmm S kk f m T m m m T f m T I mmb N m p f p f f G L A f b k, b k v M k b p:, bb m, m f m, v. A b m, f mm mm f v b G p. S m m z pp pv pm f, k mk, f v M. I m, I m, fm k p x. S f 45 m m CMS, I p mf,. B

More information

The Periodic Table. Periodic Properties. Can you explain this graph? Valence Electrons. Valence Electrons. Paramagnetism

The Periodic Table. Periodic Properties. Can you explain this graph? Valence Electrons. Valence Electrons. Paramagnetism Periodic Properties Atomic & Ionic Radius Energy Electron Affinity We want to understand the variations in these properties in terms of electron configurations. The Periodic Table Elements in a column

More information

MANY ELECTRON ATOMS Chapter 15

MANY ELECTRON ATOMS Chapter 15 MANY ELECTRON ATOMS Chapter 15 Electron-Electron Repulsions (15.5-15.9) The hydrogen atom Schrödinger equation is exactly solvable yielding the wavefunctions and orbitals of chemistry. Howev er, the Schrödinger

More information

!" # $%&' ()* +", % %-. /01

! # $%&' ()* +, % %-. /01 (1) 8 1385 77-69: % * Ph.D.! "# $ MS.C. Ph.D. MS.C..$%" $%4 C D'

More information

Introduction to Groups

Introduction to Groups Introduction to Groups Hong-Jian Lai August 2000 1. Basic Concepts and Facts (1.1) A semigroup is an ordered pair (G, ) where G is a nonempty set and is a binary operation on G satisfying: (G1) a (b c)

More information

INVITATION FOR BID Exploratory Geothermal Drilling Services Department of Natural Resources (DNR)

INVITATION FOR BID Exploratory Geothermal Drilling Services Department of Natural Resources (DNR) V F B 21064 xy G v f u u ( B u: y : : u : -B ( u /k Wy y 30 2 1500 ff y W 98501 Bx 41017 y W 98504-1017 W 360-407-9399 w@wv y 18 2012 2:00 1500 ff 2331 y W 98501 ://wwwwv//u-f ://wwwwv/v/-k B U B V BF

More information