Enviado por Diego Prestes\nsalvarSalvar ANEXO-III para ler mais tarde\nMorin de Villefranche - Astrologia Gallica - XVIII Rectificado 2002-1\nFotografiado el volcán más violento del sistema solar\nCuál Es El Orden de Los Planetas en El Sistema Solar\nExamen Del 30% 3 Periodo\nC u rs o s d e E s p e c ia liz a o d a A c a d e m ia N a cc ia a l d e P o l io n\nC u rsos de sp ecializao da A ca de m ia E N a cio nal de P olica\nA c a d e m ia N a c io n a l dcia o l e P\nR e p b lic a F e d e ra tiv a d o B ras il L u iz In c io L u la d a S ilv a P re s id e n te\nM inisterio da J usticia\nM rc io T h o m a z B a s to s M in is tro\nD e p a rta m e n to d e P o lica F e d e ra l\nP a u lo F e m a n d o d a C o s ta L a c e rd a D ire o r\nA c a d e m ia N a c ion a l d e P o lic a V iv ia n a d a R o s a D ire to ra F em ando de Jess S ouza C o o rd e n a d o r d e E n s in o R o n a ld o L ib e ra to d e O liv e ira C h e fe d o S e rv 9 o d e A p o io a o E n s in o\nA c a d e m ia N a c io n a l d e P o lic a C o o rd e n a o E ns inD e p a rta m e n to d e P o lic a F e d e ra l de o\nC u rs o s d e p e c ia liz a o d a A c a d e m ia Es N a c io n a l d e P o lic a\nS e rv i o d e A p c io a o E n s in o B ra s ilia , D F 2003\nC u rs o s d e E s p e c ia liz a o d a A c a d e m ia N a cc ia a l d e P o l io n Organizao: P C F F e rn a n d o d e J e s s S o u z a E s p . L a n a O rte g a d e S o u s a E s p . M a g a li R e g in a K o la k o w s k i C h u l s E s p . M a rc ia F . S o u z a C e rq u e ira M R e v is o d e te x to : E s p . A n e x a n d ra d e v ila R ib e ro C apa: E s p . F lo rin d a R e is\nC u rs o s d e E s p e cia lizD e s e n v o lv id o s p e la A N P ..................................................................... 7 o a 1 . C u rs o d e A rm a m e n to e T iro ................................................................................................... 7 2 . C u r s o A v a n a d o d e C o n v iv n c ia n a S e lv a ............................................................................ 8 3 . C u rs o B s ic o d e C o n v iv n c ia e m A m b ie n te d e S e lv a ........................................................... 9 4 . C u rs o B s ic o d e O r ie n ta o e N a v e g a o .......................................................................... 1 0 5 . C u rs o d e D ire o D e fe n s iv a e O fe n s iv a .............................................................................. 1 1 6 . C u rs o d e G e re n c ia m e n to d e C ris e s ..................................................................................... 1 2 7 . C u rs o d e G e s t o P o lic ia l.......................................................................................................... 1 8 . C u rs o d e P a le s tr a n te d e P re v e n o a o U s o In d e v id o d e D ro g a s ............................................ 14 9 . C u rs o d e S e g u ra n a d e D ig n it rio s ...................................................................................... 1 5 1 1 . C u rs o d e T c n ic o O p e r a c io n a l e m S e q e s tr o ........................................................................ 17\n1 2 . C u rs o d e T iro P r tic o P o lic ia l................................................................................................ 18 1 3 . C u rso d e A tira d o r d e P re cis o ........................................................................................... 1 9 1 4 . Jo rn a d a so b re C rim e s A m b ie n ta is..................................................................................... 2 0 1 5. E st g io d e O p e ra e s T tica s.............................................................................................. 21 1 6 . C u rs o d e F o to g ra fia .............................................................................................................2 3 1 7 . C u rs o d e R e tra to F a la d o ........................................................................................................ 2 4 1 8 . C u rs o d e A tu a liz a o e m B o m b a s e E x p lo s iv o s .................................................................... 2 5 1 9 . C u rs o B s ic o d e G u ia s d e C e s F a re ja d o re s d e D ro g a s ...................................................... 2 6 2 0 . C u rs o d e O p e ra e s t tica s.............................................................................................. 2 7 2 1 . C u rs o d e P e rito D o c u m e n to s c p ic o ...................................................................................... 2 9 2 2 . C u rs o d e P e rc ia e m E q u ip a m e n to s d e T e le c o m u n ic a e s .................................................. 3 0 2 3 . C u rs o d e In v e s tig a o e m re a s A tin g id a s p o r A te n ta d o s T e rro ris ta s ......................................... 3 2 2 4 . C u rs o d e G e re n cia m e n to d e C rise s e m C o n flito s A g r rio s e F u n d a n o s............................ 3 3 2 5 . C urs o d e G e re n cia m e n to d e C ris es e N e g o cia o e m D elito s co m R e f n s ....................... 3 4 T o ta l d e A lun es q u e C o n clura m C u rs o d e F o rm a o P ro fiss io n a l n a A N P , p o r C u rs o e A n o ....... 3 5\nIn tr o d u o ...........................................................................................................................................\n1 0 . C u rs o d e T c n ic a s d e E n s in o ................................................................................................. 1\nA p o c a e m q u e v iv e m o s c a ra c te riz a -sfo rmoa e s s ig n ific a tiv a s q u e p o d e m s e r a trib u d a s tra n s e p r v a lo riz a o d o c o n h e c im e n to .\na o s u rg im e n to e e x p a n s o d e n o v a s te c n o lo g ia s d a in fo rm a o e d a c o m u n ic a o e\nN e s s e c o n te x to , a A c a d e m ia N a c io nia l -d A NPPo,l re s p o n s v e l p e la fo rm a o d e p a rte d o s c a e M o d e lo E d u c a c io n a l d a A N P , c o m o o b je tiv o d e fo rm a r p o lic ia is s in to n izp e cota tivo m d a n o v a s ex ad s c as as s o c ie d a d e e c o m a m is s o d o . s titu i a in\np ro fis s io n a is d e s e g u ra n a p b lic a d o p a s , v e m im p la n ta n d o n o v o s re fe re n c ia is e d u c a tiv o s ,\nA l m d e o fe re c e r c u rs o s d e fo rm a o p ro fis s io n a l n o s c a rg o s d a c a rre ira p o lic ia l fe d e r s e rv id o re s d e o u tra s in s titu i e s ..\nb u s c a o fe re c e r c u rs o s d e e s p e c ia liz a o p a ra o s d e m a is s e rv id o re s d o D P F , e x p a n d in d o -o s , ta\nE s te d o c u m e n to a p re s e n ta o s c u rs o s d e e s p e c ia liz a o o fe re c id o s p e la A N P , e m c o n s o n a m e ta d e a m p lia r, a tu a liz a r e d is s e m in a r c o n h e c im e n tom q u e c o ndt e s e n v o lv im e n to p e s s o a l e rib u a s p a ra a e v o lu o p ro fis s io n a l d o s s e rv id o re s d o D P F e , c o n s e q e n te m e n te , a mpe lh o ria n o s e g u ra n a b lic a d a p a s , e tra z d a d o s e s ta ts tic o s d o s c u rs o s d e fo rm a o p ro fis s io n a l o fe re c id o s n o p e ro d o d e 1 9 9\nC ursos de E speciali D esenvolvidos pela A N P zao\n1 . C urso d e A rm am e nto e T iro\nO b je tivo g e ra l\nD e s e n v o lv e r c o n d ic io n a m e n to p a ra o tiro d e c o m b a te , tre in a n d o e a p e rfe i o a n d o d e stre z a , v e lo c id a d e e p re c is o .\nO b je tivo s e sp e cfico s\nA o fin a l d o c u rso , o a lu n o d e v e r se r c a p a z d e: M a n u s e a r a rm a d e fo g o c o m s e g u ra n a ;\nId e n tific a r, p o r m e io d e n o e s g e ra is d e b a lstic a , o d e se n vo lv im e n to d a s m u n i e . p rim e ira , se g u n d a e te rc e ira g e ra e s ;\nD e m o n stra r v e lo c id a d e , p re c is o e h a b ilid a d e n o u so d e re v lv e r (p is to la , e sc o p e ta c a lib m e tra lh a d o ra H K 9 m m ), a tira n d o e m v e is s e fixo s, tra n sp o n d o o b st c u lo s e a lvo d ife re n c ia n d o re f n s d e b a n d id o s.\nA u la s e x p o s itiv a s e p r tic a s , c o m a u tiliz a o d o s m toino s tiv o .u tiv o e d du ded\nP o lic ia is fe d e ra is: A P F , D P F , E P F , P P F e P C F .\nD ura o\n- C u rso a vaad o d e C o n viv n cia n a S e lva n\nO b je tiv o g e ra l\nC a p a c ita r o a lu n o a a tu a r e m o p o lic iais s m a m b ie n te d e s e lv a q u e eoc im ento s e ra e e p con x ija m ttico s a vanad o s.\nO b je tiv o s e s p e c fic o s\nD u ra n te o c u rs o , o a lu n o d e v e r : D e s e n v o lv e r h a b ilid a d e s p a ra a tu a r e m o p e ra e s t tic a s e m a m b ie n te d e s e lv a ; P ra tic a r a tiv id a d e s o p e ra c io n a is n a s e lv a .\nA u la s e x p o s itiv a s e p r tic a s re a liz a d a s n o C e n tro d e E s p e c ia liz a o -n a p-e rfe i o a m e n to d a eA\nP o lic ia is fe d e ra is lo ta d o s n a s s u p e rin te n d n c ia s .\nD u ra o\n94 h oras-au la s.\n3 . C u r s o B s ic o d e C o n v iv n c ia e m A m b ie n te d e S e lv a\ns e g u ra n a e m o p e ra e s p o lic ia is e m a m b ie n te d e s e lv a .\nP ro p o rc io n a r a o s a lu n o s c o n h e c im e n to s b s ic o s q u e o c a p a c ite m a a tu a r c o m m a is e fic i n\nO b je tivo s e s p e c fic o s\nA o fin a l d o c u rs o , o a lu n o d e v e r s e r c a p a z d e : Id e n tific a r e m a n u s e a r o s e q u ip a m e n to s u tiliz a d o s e m o p e ra ? 6 e s d e s e lv a ; A p lic a r a s t c n ic a s d e p ro n to -s o c o rris m o e m s itu a e s d e e m e rg n c ia ; E m p re g a r a s t c n ic a s d e c o nd e a b rig o e o b te n o d e g u a , fo g o e a u m e n to s ; o s tru E fe tu a r p ro g re s s o e m re a d e s e lv a , s u p e ra n d o o b s t c u lo s n a tu ra is ; R e a liz a r p ro c e d im e n to s d e e m b a rq u e e d e s e m b a rq u e , a b o rd a g e m e m a n u te n o d o s tra n s p o rte s flu v ia is e d o a rm a m e n to ; Id e n tific a r o s c u id a d o s p e s s o a is d e h ig ie n e e s e g u ra n 9 a q u e d ea mm ie n tem a n tid o s e m ve b ser h o s til.\nM etod olo g ia\nE n s in o in d iv id u a liz a d o e e m g ru p o , c o m n fa s e n a s a tiv id a d e s p r tic a s .\nP o lic ia is fe d e ra is lo ta d o s n a S u p e rin te n d n c ia R e g io n a l n o E s ta d o d o A m a z o n a s e e m o u u n id a d e s d o D P F .\n5 6 h o ra s -a u la s (7 d ia s le tiv o s ).\n4 C u r s o B s ic o d e O rie n ta o e N a v e g a o\nP ro p o rc io n a r c o n h e c im e n to s e d e s e n v o lv e r h a b ilid a d e s p a ra o p e ra c io n a liz a r a tiv id a d e s d e o rie n ta d o e n a ve g a o te rre stre s.\nA o fin a l d o c u rs o , o a lu n o d e v e r s e r c a p a z d e : C on ce itu a r orie nta o, carta top og rfica e b sso la; A va liar d ista ncia na ca rta e no te rre no; U tiliza r b sso la ; C o n c e itu a r n o rte v e rd a d e iro e n o rte m a g n tic o ; A p lic a r t c n ic a s d e o rie n ta o , u tiliz a n d o -s e d o s o l, d o re l g io e d a s e s tre la s ; D e te rm in a r a lo c a liz a o d e p o n to s g e o g r fic o s n a c a rta ; R e a liz a r d e s v io d e o b s t c u lo s d u ra n te a n av e g a o ; C on ce itu a r na ve ga o e G P S ; C o n ce itu a r p a ra le lo , m e rid ia n o , la titu d e , lo n g itu d e , fu so , zo n a , d a tu m , co o rd e n a d a s g e o grficas e p la n im trica s; D e s c re v e r e c o m p re e n d e r a s p g in a s d o a p a re lh o re c e p to r G P S ;\nE x e cu ta r o rie n ta o e n a v e g a o c o m a u tiliz a o d e a p a re lh o re c e p to r G P S , lo c a liz a n d o p o n to s d e te rm in a d o s .\nA u la s e x p o s itiv a s e p r tic a s , c o m a u tiliz a o d o s m to d o s d e d u tiv o e in d u tiv o .\nS e rv id o re s lo ta d o s n a A N P .\nDu ra o\n8 H O R AS - AU LAS\n5 . C u r s o d e D ire o D e fe n s iv a e O fe n s iv a\nO b je tiv o g e r a l\nC a p a c ita r o s s e rv id o re s p o lic ia is d o D P F e m d ire o d e fe n s iv a e o fe n s iv a .\nA o fin a l d o c u rs o , o a lu n o d e v e r s e r c a p a z d e : R e a liz a r m a n o b ra s d e d ire o d e fe n s iv a e o fe n s iv a ; E x e c u ta r ta re fa s re la c io n a d a s c o m a m a n u te n o e a m au tom otore s. e c u lo s e c n ic a d e v\nA u la s e x p o s itiv a s e p r tic a s .\nP o lic ia is fe d e ra is c o n d u to re s d e v e c u lo s o fic ia is d o D P F .\n6 . C u r s o d e G e r e n c ia m e n to d e C ris e s\nP re p a ra r o p o licaia l p e re n c ia r c ris e s , c o m a a d o o d e m e d id a s m e d ia ta s e m e d ia ta s d e ra g e n c a m in h a m e n to d e s o lu e s d e c ris e s e c o n flito s .\nA o fin a l d o c u rs o , o a lu n o d e v e r s e r c a p a z d e : A p lic a r o s p rin c p io s d e g e re n c ia m e n to d e c ris e s (G C ); A p lic a r a le g is la o s o b re c o n flito s (L A ); In te rm e d ia r, d ire tained/o u ta m e n te , n e g o c ia o c o m o s c a u s a d o re s d a c ris e (N C ); ire A p lic a r a s p rin c ip a is t c n ic a s o p e ra c io n a is u tiliz a d a s n o g e re n c ia m e n to d e c ris e s (T O ).\nP o lic ia is fe d e ra is , c iv is e m ilita re s .\n8 0 h o ra s-a u la s.\n7 . C u r s o d e G e s t o P o lic ia l\no s a id e n tific a r e u tiliz a r m e c a n ism o s a d e q u a d o s o tim iz a 5 o d e re su lta d o s .\nO p o rtu n iz a r re fle x o so b re o p a p e l e a re sp o n s a b ilid a d e d o s d irig e n te s o u g e re n te s , c a p a c it\nA o fin a l d o c u rs o , o a lu n o d e v e r s e r c a p a z d e :\nR e fle tir s o b re a s d e m a n d a s d a in s titu ic o p o lic ia l e a s m p lic a g e s d a a d o c o d e p la n e e s tra t g ic o o p e ra c io n a l; D is c u tir e m o d e la r a fu n g o d e d ire c o e g e re n c ia m e n to ;\nS e lec io n a r e u tiliz a r m o d e lo s, tc n ic a s, in s tru m e n to s e e s tra te g ia s d e le v a n ta m e n fo rm a c o e s (d ia g n s tic o e a n lis e ) e p ro p o s ta d e s o lu c e s d ific u ld a d em a s o u d e p ro b le s e n c o n tra d o s .\nA u la s e xp o sitiva s, o ficin a d e tra b a lh o , sim u la g o , d e b a te s, e stu d cs d e ca so ,po b a lh o s e m g ru tra e jo go s.\nS erv id o re s d irig e n te s o u g e re n te s d o D P F .\nD u ra p o\n7 . C u r s o d e G o s t o lic ia l eP\nO p o rtu n iz a r re o x o b re o p a p e l e a re s p o n s a b ilid a d e d o s d irig e n te s o u g e re n te s , c a p a c ita n d fle s a id e n tific a r e u tiliz a r m e c a n is m o s a d e q u a d o s o tim iz a o d e re s u lta d o s .\nA o fin a l d o c u rs o , o a lu n o d e v e r s e r c a p a z d e : R e fle tir s o b re a s d e m a n d a s d a in s titu i o imop lic ale e ss d a a d o o d e ja m e n to p lic ia a p la n e e stra t g ic o o p e ra c io n a l; D is c u tir e m o d e la ra o d e d ire o e g e re n c ia m e n to ; fu n\nS e le c io n a r e u tiliza r m o d e lo s , t c n ic a s , in stru m e n to s e e s tra t g ia s d e le v a n ta m e in fo rm a e s (d ia g n s tic o e a n lis e ) e p ro p o s ta d e s o lu e s d ific u ld a d em a s o u d e p ro b le s e n c o n tra d o s.\nA u la s e x p o s itiv a s , o fic in a d e tra b a lh o , sim u la o , d e b a te s, e stu d o s d e ca so ,o tra ba lh o s e m grup e jog os.\nS e rv id o re s d irig e n te s o u g e re n te s d o D P F .\n8 . C u rs o d e P a le s tra n te dn P re a o U s o In d e v id o d e D ro g a s e o ve\nM e lh o ra r a c a p a c id a d e d o a lu n o d e s e e x p re s s a r e m p b lic o , ccoim e n to a nndao cre n h e m u ic s oa d e p re v e n o e re p re s s o a e n to rp e c e n te s .\nD u ra n te o c u rs o , o a lu n o d e v e r :\nD e s e n v o lv e r a a u to c o n fia n a e a c a p a c id a d e d e a d m in is tra r a te n s o e m o c io n a l n a e m q u e p re c is a r fa la r e m p b lic o ;\nA v a lia r a o p o rtu n id a d e d a u tiliz a o d e t c n ic a s e a rtifc io s d e c o m u n ic a o q u e a u m p o d e r d e c o n v e n c im e n to ; C o n s c ie n tiz a r-s e d a im p o rt n c ia din e a sn tec toa o s p ro c e s s o s d e c o m u n ic a o , c o m o e re p e s s m o tiv a o , c o n tro le e m o c io n a l, c a p a c id a d e d e c o n v e n c im e nve rb al; g u a g e m n o to e lin D e s e n v o lv e r o a u to c o n h e , o c o n tro le e m o c io n a l, a e m p a tia cpaepsascoid a d e ad e c im e n to al e s u p e ra r b lo q u e io s ; D o m in a r c o n c e ito s d e d ro g a s e n to rp e c e n te s , p a ra fin s d e p a in s titu s e s e s c o la s , le tra i e m o u tro s .\nM e t o d o lo g ia\nS e rv id o re s d o D P F .\nD u r o a\n40 horas-aula s.\n9 . C u r s o d e S e g u r a n a d e D ig n it rio s\nD e s e n v o lv e r h a b ilid a d e s re la tiv a s s e g u ra n a d e d ig n it rio s .\nA o fin a l d o c u rs o , o a lu n o d e v e r s e r c a p a z d e : R e a liz a r t c n ic a s e s p e c fic a s d e s e g u ra n a d e a u to rid a d e s ;\nR e a liz a r s e g u ra n a a p ro x im a d a d e te rc e iro s ; R e a liz a r m a n o b ra s d e d ire o o fe n s iv a e d e fe n s iv a .\nP o licia is fe de ra is.\n1 0 . C u r s o d e T c n ic a s d e E n s in o\nD e s e n v o lv e r h a b ilid a d e s , a titu d e s e p ro c e d im e n to so tim iz a ddoore ss deo s p ro c e s s o s d e fa c ilita re e n s in o e a p re n d iz a g e m .\nA o fin a l d o c u rs o , o a lu n o d e v e r s e r c a p a z d e : E la b o ra r e e x e c u ta r u m p la n o d e a u la ;\nP la n e ja r, s e le c io n a r e a d a p ta r e s tra t g ia s , t c n ic a s e re c u rs o s fa c ilita d o re s d o p ro c e s s o e n s in o e a p re n d iz a g e m ; S e le c io n a r c o n te d o s in s tru c io n a is .\nA u la s e x p o s itiv a s , o fic inras a lh o e d e m o n s tra o e u tiliz a o d e re c u rs o s d e e n s in o . a b de t\nS e rv id o re s e p o lic ia is d o D P F o u p ro fe s s o re s c o n v id a d o s q u e m in is trae o a u la s n o s c u rs o d r fo rm a o p ro fis s io n a l d a A N P .\n40 h o ra s-au la s.\n1 1 . C u r s o d e T c n ic o O p e r a c io n a l e m S e q e s tr o\nP ro p o rc io n a r c o n h e c im e n to s b s ic o s s o b re a p re v e n o d e s e q e s tro e m e d id a s a s e re m a a p s a c o n s u m a o d o c rim e .\nA o fin a l d o c u rs o , o a lu n o d e v e r s e r c a p a z d e : E m p re g a r m to d o s m o d e rn o s d e in v e s tig a o , e n erc o c ia o situaes de in te g e p ta o e m crise;\nD ife re n c ia r o s tip o s d e se q e s tro s.\nA u la s e xp o s itiv a s e p r tic a s.\nP o lic ia is fe d e ra is , c iv is e m ilita re s , p ro m o to re s p b lic o s , P ro c u ra d o ree rv id o re s b lic a e s s da R ep d o s M in is t rio s P b lic o E s ta d u a l e F e d e ra l.\n4 0 ho ra s-aula s.\n1 2 . C u rs o d e T ir o P r tic o P o lic ia l\nD e s e n v o lv e r h a b ilid a d e s n o m a n u s e io d e a rm a s d e fo g o p a ra d e fe s a p e s so a l.\nA o fin a l d o c u rs o , o a lu n o d e v e r s e r c a p a z d e : Id e n tific a r a s re g ra s b s ic a s d es en o ra n n u s e io d e a rm a s d e fo g o ; a gu m a U tiliz a r re v lv e re s c a lib re 3 8 e p isto la s 9 m m .\nA u las e xp ositivas e p r tica s.\nP o lic ia is fe d e ra is , ju z e s fe d e ra is e e s ta d u a is, P ro c u ra d o re s d a R e p b lic a e P ro m o to re s d e Ju stia .\n2 0 h o ra s -a u la s .\n1 3 . C u r s o d e A tira d o r d oP r e c is e\nd e p re c is o .\nD e s e n v o lv e r h a b ilid a d e s p a ra a e x e c u o d e m is s e s d e o p e ra e s at ticd o re s e re q u e ira m tira a s q u\nA o fin a l d o c u rs o , o a lu n o d e v e r s e r c a p a z d e : E x e c u ta r t c n ic a s d s e e tre in a m e n to d e a tira d o r d e p re c is o ; e o le Id e n tific a r a p a re lh o s tic o s d e p o n ta ria ; D o m in a r o s fu n d a m e n to s d o tiro d e p re c is o ; R e a liz a r p r tic a d e tiro e m d iv e rs a s s itu a e s ; E x e c u ta r lim p e z a e m a n u te n o d o fu z il d e p re c is o ; D o m in a r n o e s d e b a ls tic a ; C o m p re e n d e r t c n ic a s d e m e moo e o b s e rv a o ; riz a A p lic a r t c n ic a s d e c a m u fla g e m e o c u lta o ; U tiliz a r t c n ic a s d e o p e ra 9 e s n tu la s .\nS e rv id o re s d o D P F lo ta d o s n a C o -G n a l d o C o m a n d o d e O p era e s T tica s o o rd e e ra\n4 6 H o ra s-a u la s .\n1 4 . J o rn a d a s o b re C rim e s A m b ie n t is\nO b je tiv o g e ra i\nS e n s ib iliz a r o s p a rtic ip a n te s s o b re a im p o rta n c ia d a a tu a g o e d o c o n tro le d o s c rim e s a m b ie n t is.\nA o fin a l d o c u rs o , o a lu n o d e v e r s e r c a p a z d e : Id e n tific a r c rim e a m b ie n ta l; D e s c re v e r e s tra te g ia s d e p re v e n g o e c o m b a te a o c rim e a m b ie n ta l; Id e n tific a r a le g isla d o so b re o a ss u n to .\nP a le s tra s e a u la s e x p o s itiv a s d ia lo g a d a s .\nS e rv id o re s d o D e p a rta m e n to d e P o lic a F e d e ra l.\nD u ra g o\n1 0 h oras-au la s.\n1 5 . E s tio d e O p e ra e s T tic a s g\nH a b ilita r p o lic ia is fe d e ra is a e x e c u ta r m is s e s e s p e c ia is q u e s e ja m d a c o m p e t n c ia d o D P F\nA o fin a l d o c u rs o , o a lu n o d e v e r s e r c a p a z d e : D e sc re v e r a s d iv e rs a s t c n ic a s d e a b o rd a g e m d e su speoito s e re sn d u d e p co o s ; E x e c u ta r a s d iv e rs a s t c n ic a s d e a b o rd a g e m d e v e c u lo s e p e s s o a s ; D e sc re v e r o o b je tiv o , a d e fin i o , o s p ro c e d im e n to s e a co m p o s i o d e u rn a e q u ip e d e entrada; D e te rm in a r o a rm a m e n to e o s c u id a d o s n e c e s s rio s n a s u a ue qua m ,e a l m d e tiliz ipa o ntos au xiliare s; E fe tu ar com ba te e m re cinto fe cha do ; D e s c re v e r a s d iv e rs a s t c n ic a s d e tra n s p o s i o d e o b s t c u lo s ; P ra tica r ra p e l; C o nce itu ar o rie n ta o , ca rta to po gr fica e b ssola; D e fin ir n o rte v e rd a d e iro e n o rte m a g n tic o ; D e fin ir e de te rm ina r azim u te ; D e scre ve r m e ios d e o rie n ta o , na ve ga o e de svio de ob stcu los; E fe tu a r n a v e g a o e m e q u ip e , u tiliz a n d o t c n ic a s d e o rie n ta o c o m b s s o la ; D e s c re v e r a s t c n ic a s p a ra o b te n o d e g u a , fo g o e a lim e n toabrigos;s tru o d e s e con D e s c re v e r e d ife re n c ia r tip o s d e a n im a is p e o n h e n to s;\nD e fin ir e d e sc re v e r o s tip o s e p ro c e ss o s d e p ro g re s s o e o s tip o s d e s in a is e m p ro g re s s e x e c u ta r t c n ica s u tiliz a n d o s in a is ; D e s c re v e r re g ra s d e s e g u ra n a co m a rm a s c u rta s e lo n g a s ; E x e c u ta r e m b a rq u e e d e se m b a rq u e e m p ara isso; h e lic p te ro , d e fin in d o o ss rioa m e n to ne ce e q u ip\nD e scre ve r o s e q u ip a m e n to s d e te le co m u n ica e s e m u so n o D P Fm co m o den te n a s , , od os a op e ra o d e fre q ncia , c dig o "Q " e a lfab e to fon tico inte rna cion a l; D e s c re va s t c n ic a s d e re te n o d e a rm a s ; er\nR e a liza r m o n ta g e m , d e sm o n ta g e m , lim p e za e m a n u te n o de a rm a m e n to .\nP o lic ia is fe d e ra is d a A N P e d a s s n c ia s .te n d u p e rin\n96 hora s-aulas.\n1 6 . C u r s o d e F o to g r a f ia\nt c n ic a s d e re v e la e d o s p ro c e s s o s p a ra d e s e n v o lv e r h a b ilid a d e s d e le v a n ta m e n to fo to g o im p re s s e s p a p ila re s e n c o n tra d a s e m lo c a is d e c rim e .\nP ro p o rc io n a r c o n h e c im e n to s d a s d iv e rs a s m q u in a s fo to g r fic a s u s a d a s e m p e rc ia s c r\nO b je t iv o s e s p e c fic o s\nA o fin a l d o c u rs o , o a lu n o d e v e r s e r c a p a z d e : U tiliz a r a s d iv e rs a s m q u in a s fo to g r fic a s u s a d a s e m p e rc ia s c rim in a is ; D o m in a c n ic a s d e re v e la o ; r t R e a liz a r le v a n ta m e n to s fo to g r ficres sd e s p a p ila re s e n c o n tra d a s e m lo c a is d e im p o e crim e; U tiliz a r o s d iv e rs o s e q u ip a m e n to s fo to g r fic o s .\nP e rito s P a p ilo s c p ic o s .\n36 horas-au la s.\n1 7 . C u r s o d e R e tra tooF a la d\nO b je t iv o g e r a l\nD e s e n v o lv e r h a b ilid a d e s n a o n fe cre tra to fa la d o , c o m a u tiliz a o d o s re c u rs o s d a c de in fo rm tica .\nA o fin a l d o c u rs o , o a lu n o d e v e r s e r c a p a z d e : Id e n tific a r o c o n c e ito e a fin a lid a d e d o re tra to fa la d o ; D e m o n s tra r h a b ilid a d e s p a ra o b s e rv a r e d e s c re v e r p e s s o a s , o b je to s , re a s e lo c a is ;\nC o n c e itu a r e n tre v is ta , id e n tific a n d o s u a fin a lid a d e e u tilid a d e ; D e m o n s tra r h a b ilid a d e s b s ic a s d e d e s e n h o ; U tiliz a r s o ftw a re s p a ra a e la b o ra o d e re tra to -lola daotuea m a n to s . fa s liz a d\n7 2 ho ra s-a ulas.\n1 8 . C u r s o d e A tu a liz e m B o m b a s e E x p lo s iv o s o a\nn e u tra liz a o d e a rte fa to s e x p lo s iv o s e a d o ta r c o n tra m e d id a s e p rom id ec a is s ocb b v e is 9 a e v lo n c ia a a m e a d e e x p lo s o .\nC a p a c ita r o a lu n o a c o n c e itu a r e id e n tific a r b o m b a s e e x p lo s iv o s , u tiliz a r t c n ic a s d e d e s\nA o fin a l d o c u rs o , o a lu n o d e v e r s e r c a p a z d e : C o n c e itu a r e id e n tific a r b o m b a s e e x p lo s iv o s , c a ra c te riz a n d o o s xdpife re n te se tip o s d e e lo s e s m e c a n is m o s d e a c io n a m e n to ;\nR e la c io n a r a s fin a lid a d e s d a s in s p e e s , e n u m e ra n d o a s t c n ic a s m a is u tiliz a d e q u ip a m e n to s n e ce ss rio s ;\nR e a liz a r v is to ria s e m v e c u lo s s o b s u s p e ita d e c o n te r a rte fa to s e x p lo s iv o s , u tiliz a n d o a a p ro p ria d a s e a d o ta n d o m e d id a s m e d ia ta s n o c a s o d a d e s c o b e rta d o a rte fa to ;\nR e c o n h e c e r o s m e io s e m o d o s m a is c o m u n s d e c o lo c a o e e n tre g a d e b o m b a re la c io n a n d o a s in d ic a e s d e s u s p e i o e a d o ta n d o t c n ic a s d e re c o n h e c i d e s a tiv a o ;\nC o n h e c e r a s t c n ic a s u tiliz a d a s n a c o le ta , n a p re s e rv a o e n o tra n s plo c a isd e v e s tg io s e m o rte d e e x p lo s e s .\nE n s in o in d iv id u a liz a d o e e m g ru pfa ,s e onm s a tiv id a d e s p r tic a s . n o c a\nP o lic ia is fe d e ra is : P e rito s C rim in a is F e d e ra is e A g e n te s d e P o lic ia F e d e ra l lo S u p e rin te n d n c ia s R e g io n a is ;\nP o lic ia is m ilita re s .\n8 0 h o ra s-a u la\n1 9 . C u r s o B s ic o d e G uia s d e rC ja d o re s d e D r o g a s e Fa e\nE s p e c ia liz a r o a lu n o n a u tiliz a o d e c e s fa re ja d o re s d e d ro g a s noa e re a re e spre v e n p ds o d o tr fic o d e e n to rp e c e n te s .\nU tiliz a r a d e q u a d a m e n te c e s fa re ja d o re s d e d ro g a s n a s b u s c a s p a ra c o ib ir o tr fic o lc d ro g a s ; M a n te r o c o fa re ja d o r e s u a s in s ta la e s e m p e rfe ito e s ta d o d e lim p e z a e h ig ie n e ; M a n te r c u id a d o s re la tiv o s s a d e d o a n im a l.\nE n s in o in d iv id u a liz a d o g ru p o , c o m n fa s e n a s a tiv id a d e s p r tic a s . e em\nP o lic ia is fe d e ra is lo ta d o s n a s S u p e rin te n d n c ia s R e g io n a is .\n4 0 0 h o ra s -a u la s , c o m 8 h o ra s d e a tiv id a d e s d i ria s , d e s e g u n d a a s e x ta -fe ira .\n2 0 . C u rs o d e O p e ra re s A e ro t tic a s o O b je tiv g e ra l\nH a b ilita r o a lu n o a e x e c u ta r m is s e s d e o p e ra e s a e ro t tic a s q u e s e ja m d a c o m D e p a rta m e n to d e P o lic ia F e d e ra l e a c a rg o o -G o o rd e n aA v ia o O p e ra Gio n a l d a C e ra l d e C c A v.\nA o fin a l d o c u rs o , o a lu n o d e v e r s e r c a p a z d e : D e s c re v e r a e ro n a v e s ; Id e n tific a r t c n ic a s d e m a n u te n o e c o n s e rv a o d e a rm a m e n to ; E x e c u ta r t c n ic a s d e tiro o p e ra c io n a l; R e a liz a r b u s c a e s a lv a m e n to e m p r d io s , n a g u a e e m e n c e s ta s ; Im o b iliz a r, c o n d u z ir e tra n s p o rta r p re s o s e m a e ro n a v e s ;\nD e m o n s tra r n o e s b s ic a s d e s o b re v iv n c ia e a p lic a r t c n ic a s d e o rie n ta o te rre s tre\nP ra tic a r v o p o lic ia l; E x e c u ta r p ro c e d im e n to s d e p ro n to -s o c o rris m o ; E m p re g a r a s t c n ic a s o p e ra c io ntic a s e ro ta d a s p e la C G A v ; a is a u tiliz D e m o n s tra r c o n h e c im e n to d a d o c u m e n ta d o u tiliz a d a n a a v ia 9 o e d a te o ria d e v o ; D e te rm in a r a s e g u ra n a d e v o ; D e s c re v e r a e s tru tu ra d a C G A v ;\nA p lic a r n o e s d e p e s o e b a la n c e a m e n to ; R e a liz a r c o m b a te a in c n d io e m a e ro n a v e s ; D e m o n s tra r c o n h e c im e n to d e e q u ip a m e n to s e a c e s s rio s ; E x e c u ta r tra n s p o rte d e c a rn a . e x te rg\nP o lic ia is fe d e ra is e p o lic ia is m ilita re s d o D is trito F e d e ra l.\n1 6 0 h o ra s -a u la s\n2 1 . C u rs o d e P e r ito D o c u m e n to s c p ic o\nP ro p o rc io n a r c o im e n to s t c n ic o s e d e s e n v o lv e r h a b ilid a d e s p a ra pa rcia a o d e cnh e re a liz d o cu m e n to sc p ic a .\nA o fin a l d o c u rs o , o a lu n o d e v e r s e r c a p a z d e : D e m o n s tra r c o n h e c im e n to s t c n ic o s d e g ra fis m o e d o c u m e n to s c o p ia ; D e m o n s tra r c o n h e c im e n to s nid e re a a o d e im p re s s e s d ig ita is e m d o c u m e n to s a n tific d e o fic ia is e d e e la b o ra o d e la u d o t c n ic o .\nP e rito s q u e e x e r a fu n o d e g ra fo t c n ic o . am\n2 2 . C u rs o d e cP e re m E q u ip a m e n to s d e T e le c o m u n ic a e s ia\nP ro p o rc io n a r c o n h e c im e n to s s o b re o s u ip ate le c o m u n ic a e s u tiliz a d o s n a p e rc ia e s o b re eq de m ent e la b o ra o d e la u d o .\nC o n c e itu a r c a rto g ra fia , d e m o n s tra n d o c o n h e c im e n to s d o s s e u s s is te m a s d e p ro te o e c a ra c te rs tic a s ;\nD e m o n s tra r c o n h e c im e n to s s o b re G P S e s e u s p rin c p io s ; Id e n tific a r o s e q u ip a m e n to s d e c a rto g ra fia ; R e c u p e ra r d a d o s e m e q u ip a m e n to s d e te le c o m u n ic a e s ;\nD e m o n s tra r c o n h e c im e n to s s o b re a v u ln e ra b ilid a d e d a te le fo n ia c ed ela r e a re c u p e ra lu da d o s;\nId e n tific a r a s o n d a s d e p ro p a g a o d e ra d io ; D e s c re v e r o s tip o s , a s m o d u la e s e o fu n c io n a m e n to d e r d io s ; Id e n tific a r a s m e d i e s d e p o te n c ia R M S ;\nU s a r o fre q u e n c m e tro d ig ita l e d e m o n s tra r c o n h e c im e n to d o s p ro c e d imc a is s a d o ta d o s em lo e n to d e ra d io p ira ta ria ; E la b o ra r la u d o s ; D e s c re v e r a s in s ta la e s d e s e rv i o d e ra d io c o m u n ic a o e ra d io tra n s m is s o ; R e a liz a r e x e rc c io s p r tic o s d e p e rc ia e m e q ute lemo m ton icdae e s ; ip a c e n u s\nId e n tific a r a le g is la o s o b re o S e rv id o d e R a d io d ifu s o C o m u n it ria id aod o ;rv i o R a d io do C e S e\nD e m o n s tra r c o n h e c im e n to s s o b re te le fo n ia fix a re s id e n c ia l e c o m e rc ia l e s o b re c e n tra is te lef n ic a s a n a l g ic a s e d ig ita is ; D e s c re v e r u rn a c e n tra l te le f n ic a ;\nD em o n stra r co n h ecim e nto s so b re v arred u ra eletr n ica em in o v as d ees d u ran te p r sta la sele o d e p esso al\nM e t o d oglo ia\nE n s in o in d iv a liz a d o .e e m g ru p o , c o m n fa s e n a s a tiv id a d e s p r tic a s . dui\nP e rito s C rim in is F e d e ra is .\n2 3 . C u r s o d e In v o ea r e a s A t in g id a s p o r A te n ta d o s T e r r o r is ta e s tig m\nD e s e n v o lv e r h a b ilid a d e s a s p a ra a c o le ta d e p ro v a s e m re a s a tin g id a s p o r a te n ta d o s c n ic t te rro rista s, d e m o d o a fa c ilita r in ve stig a e s su b se q e n te s.\nA o fin a l d o cu rs o , o a lu n o d e v e r s e r ca p a z d e : A d m in is tra r e g e re n c ia r a re a d e o c o rr n c ia d e c rim e s ; D o m in a r t cn ic a s d e : - re c u p e ra o d e im p re ss e s d ig ita is o c u lta s ; c o le ta e p re s e rv a o d e e v id e n c ia s fsic a s e m re a d e o co rr n c ia d e c rim e s ; c o le ta e p re s e rv a o d e v e s tg io vad eep r re a d e o c o rr n c ia d e c rim e s ; os s m c o le ta d e o va s e m a rm a s d e fo g o ; pr c o le ta e p re s e o d e im p re s s e s c a u s a d a s p o r s a p a to , p n e u e fe rra m e n ta ; rv a co le ta e p re s e rv a d o d e p ra v a s e m re a s d e in c n d io crim in b om b a; ta q u e s a o so e a\nId e n tific a r p ra v a s d o c u m e n ta is .\nP a le s tra s , d e b a te s e e n s in o in d iv id u a liz a d o e e m g ru p o .\nD e le g a d o s d e P o lic ia F e d e ra l e P e rito s C rim in a is F e d e ra is .\n76 h oras -a ula s\n2 4 . C u r s o d e G e re n c ia m e n to d e G r is e ss eA g r o n f su e d i rio s lito m C r ioF n\nD e s e n v o lv e r h a b ilid a d e s d e g e re n c ia m e n to d e c ris e s e n e g o c ia dd e c o e d id a s d o o o, m m a a C o n flito s A g r rio s e F u n d i rio s d o D e p a rta m e n to d e P o lic ia F e d e ra l.\nm e d ia ta s e m e d ia ta s d e e n c a m in h a m e n to d e s o lu e s , v is a n d o a te n d e r a s n e c e s s id a d e s d a\nA o fin a l d o c u rs o , o a lu n o d e v e r s e r c a p a z d e : A p lic a r o s p rin c p io s d e g e re n c ia m e n to d e c ris e s ; A p lic a r a le gis o s o b re o s c o n flito s a g r rio s e fu n d i rio s ; la A p lic a r o s p rin c p io s g e ra is d e s o lu o d e e v e n to s c rtic o s q u e e n v o lv a m o u n o re f n s in te rm e d ia n d o , d ire ta e /o u in d ire ta m e n te , n e g o c ia o c o m o s c a u s a d o re s d a c ris e ; A p lic a r a s p rin c ip a is t c n ic a s o p e ra c io n a is u tiliz a d a s e m g e re n c ia m e n to d e c ris e s .\nS e rv id o re s p o lic ia is fe d e ra is .\n2 5 . C u r s o d e G e r e n c ia m e n to d e C ris e s o e e N e gD e lito s c o m m o c ia R e f n s\nP re p a ra r o a lu n o p a ra n e g o c ia r e m c ris e oc odm a e d id a s im e d ia ta s e m e d ia ta s d e s, e m ado e n c a m in h a m e n to d e s o lu e s , v is a n d o u rn a a o e fic a z e a p re v e n o dae tomlito s q u e e n v o lv a m d e ada de refns, m otins em instituies prisionais e a invaso de instales pblicas.\nA o fin a l d o c u rs o , o a lu n o d e v e r s e r c a p a z d e : D e m o n s tra r c o n h e c im e n to s : s o b re o p re p a ro d o p o lic ia l e a p re v e n o d e e v e n to s c rtic o s , a a d o o d e m e d id a m e d ia ta s e m e d ia ta s e o e n c a m in h a m e n to d e s u a s s o lu e s ;\ne le m e n ta re s s o b re c o m p o rta m e n to s v e rb a l e n o -v e rb a l, v is a n d o a id e n tific a o d e a la rm e e o a p rim o ra m e n to d a s t c n ic a s d e a te n o a tiv a ;\nt c n ic o s d e p la n e ja m e n to e t tic a s e m o p e ra e s p o lic ia is q u e e n v o lv a m re f n s , o c to m a d a d e in s ta la e s ; s o b re t c n ic a s d e c o m u n ic a o e p e rs u a s o , c o m v is ta s e v s u a u tiliz a o s ; e m a e n to s c rtic o s o b re a m e to d o lo g ia d e n e g o c ia o n o s e v e n to s c rtic o s .\nP o lic ia is fe d e ra is in te g ra n te s d o C o m a n d o d e O p e ra e s T tic a s - C O T .\n40 horas-au la s.\nT o ta l d e A lu n o s q u e C o n c lu ra m C u rso o e roofis s a n a l n a d P F rm io A c a d e m ia N a c io n a l d e P o lic ia , p o r C a rg o e A n o\nC a rg o DPF PC F EP F APF PPF T o ta l 1 9 9 5 1 9 9 6 1 9 9 7 1 9 9 8 1 9 9 9 2 0 0 0 2 0 0 1 2 0 0 2 20 03 TOTAL GERAL 103 232 270 259 1 3 8 1002 47 87 48 1 0 4 71 357 84 148 3 3 1 087 150 152 952 6 7 6 3 1 8 58 0 3 0 5 40 0 21 9 24 9 8 41 14 55 2 3 4 11 43 6 4 9 9 3 9 40 6 9 1 3 58 0 4 864\nDocumentos semelhantes a ANEXO-III\nPopulares em Solar Gods\nPeteneras Sevillanas Populares\nLos Sonidos Del Silencio Simonygarfunkel\n01 Celebrad al Dios de Amor\nLuis Alfredo Betancourt Pindo\nRenny Rafael Rodríguez Santiago\nDilo desde la montaña.pdf


cameron 0.22 0.2 447 25 7\ncameron diaz 0.05 0.8 1556 100\ncameron boyce 1.42 0.2 3727 89\ncameron smith 0.35 1 9050 88\ncameron mathison 1.69 0.6 4193 46\ncameron dallas 0.25 0.8 3178 62\ncameron monaghan 1.85 0.2 5271 79\ncameron 1.78 0.3 4714 53\ncameron crowe 0.63 0.5 5162 4\ncameron mitchell 0.5 1 6925 31\ncameron brink 0.23 0.3 4446 61\ncameron park ca 1.01 0.8 3741 36\ncameron meets obama 1.29 0.4 3601 50\ncameron richardson 0.51 0.4 5717 99\ncameron johnson 0.09 0.8 7146 60\ncameron diaz net worth 1 0.9 5365 38\ncameron smith golfer 0.51 0.5 1796 38\ncameron university 1.08 0.2 4162 71\ncameron cad 1.53 0.1 6135 55\ncameron diaz movies 1 0.6 8040 67\ncameron county 0.58 0.9 6178 87\ncameron bright 1.11 0.3 9730 87\ncameron lng 1.2 0.3 3537 31\ncameron carpenter 0.2 0.4 9752 92\ncameron winklevoss 1.75 1 6083 66\ncameron county appraisal district 1.52 0.5 5274 57\ncameron diaz baby 0.83 0.5 4095 75\ncameron diaz age 1.02 0.4 7643 42\ncameron diaz husband 0.7 0.5 1901 34\ncameron diaz height 1.47 0.3 1777 47\ncameron diaz 2022 0.57 0.2 5327 57\ncameron diaz the mask 0.87 0.4 8767 38\ncameron diaz daughter 0.6 0.2 8899 73\ncameron diaz 2021 1.96 0.7 6854 82\ncameron diaz today 1.56 0.6 3704 52\ncameron diaz young 0.46 0.7 1769 5\ncameron diaz children 1.08 1 1646 22\ncameron diaz pregnant 1.3 0.9 4422 32\ncameron diaz net worth 2021 0.6 0.9 3671 79\ncameron diaz benji madden 1.26 0.9 7737 53\ncameron diaz 2020 0.65 0.9 5624 50\ncameron diaz mom 0.75 1 502 34\ncameron diaz film 0.89 0.3 5701 87\ncameron diaz wine avaline 1.53 0.1 9480 90\ncameron diaz raddix 1.54 0.4 3634 55\nJames Francis Cameron CC (born August 16, 1954) is a Canadian filmmaker. Best known for making science fiction and epic films, he first gained recognition for directing The Terminator (1984). He found further success with Aliens (1986), The Abyss (1989), Terminator 2: Judgment Day (1991), and the action comedy True Lies (1994).


5083 Circle Aluminium 5052 H18\nh18 195 - 180 - 1 h24 150 200 120 - 4-5 en aw-5005 (al mg1(b)) en 485 h111 100 145 35 - 15-22 h18 185 - 165 - 1-2 h34 145 185 110 - 3-6 h36 165 205 135 - 2-4 en aw-5052 (al mg2,5) en 485 0/h111 170 215 65 - 12-18 h14 230 280 180 - 3-4 h18 270 - 240 - 1-2 h34 230 280 150 - 4-7 en aw-5083 .\n2021-7-1 · Aluminium 5052 H32 Hot Rolled Circles, Aluminium 5052 H19 CR Circles, Aluminium 5052 H16 HR Circles, Aluminum 5052 H321 Circles, Aluminium 5052 Circle Stockist, Aluminium 5052 H18 Proof Machined Circles, Aluminum 5052-0 Circles, Aluminium Alloy 5052 Industrial Circles Manufacturers, Aluminum 5052 Export Quality Circles Suppliers in Mumbai India.\nreflective aluminum sheet coil fry pan\n5083 Metal Circles Aluminum Tray Plate\ncorrugated aluminium partition sheet 5052 4x8\nThickness 0 38 Mm Aluminum Round 1060 1100 3003\n5086 aluminium sheets 3\nCold Rolling Aluminum Circl For Cookware With Cheap Price\n1080 1060 3003 O H12 H14 H18 H24 Circular Aluminum Sheet Competitive Price Temper O H112 T3 T8 T351 T851\n4x10 aluminum 1mm sheet fry pan\n2024 aluminum advertising sheet 1050 1060 2024\ntextured aluminium flat sheet 1050 H24


Проверка авто DAEWOO MATIZ. Госномер К115КЕ152. VIN XWB4A11EDCA026532.\nОтчет по VIN номеру: XWB4A11EDCA026532\nРегистрационный номер: К115КЕ52\nНомер ЕАИСТО: 089960011903596\nМощность (л.с.): 50.3\nНомер двигателя: 890249КС2\nНомер ПТС: 36УС164316\nНомер договора ОСАГО: 5013891925\nVIN НОМЕР: XWB4A11EDCA026532


STATISTIKA EKIPE ROMUNIJA\n22.03.2009 16:30 Ledna dvorana Tabor - Maribor -SLO 1. (redni del) MEHIKA 2 : 10\n25.03.2009 13:00 Ledna dvorana Tabor - Maribor -SLO 1. (redni del) HRVAŠKA 1 : 6\n26.03.2009 13:00 Ledna dvorana Tabor - Maribor -SLO 1. (redni del) ROMUNIJA 0 : 8\n28.03.2009 13:00 Ledna dvorana Tabor - Maribor -SLO 1. (redni del) ROMUNIJA 7 : 3\n#1 RUCZUJ Gellert 5 282:00 16 3.4 - - - 0 5 2\n#3 SZAKACS Szabolcs 1 18:00 4 13.33 - - - 0 1 0\n#18 IMECS Attila 5 5 2 7 1 0.4 1 0.2 0 0 6\n#23 GLIGA Roberto 5 4 3 7 0.8 0.6 2 0.4 0 0 2\n#14 PETER Zsolt 5 4 3 7 0.8 0.6 0 0 0 0 0\n#20 BIRO Tamas 5 2 5 7 0.4 1 2 0.4 0 0 6\n#12 TAPU Ciprian 5 1 6 7 0.2 1.2 0 0 1 0.2 8\n#13 PASCARU Leonard 5 4 1 5 0.8 0.2 0 0 1 0.2 4\n#8 LACZKO DAVID Levente 5 0 4 4 0 0.8 0 0 0 0 31\n#15 MIHAILESCU Claudiu 5 2 1 3 0.4 0.2 0 0 0 0 6\n#6 DAVID Attila 5 0 3 3 0 0.6 0 0 0 0 10\n#19 MOLNAR Zsombor 5 0 2 2 0 0.4 0 0 0 0 14\n#17 FULOP Elop 5 0 2 2 0 0.4 0 0 0 0 2\n#25 KOVACS Norbert 5 1 0 1 0.2 0 0 0 0 0 20\n#22 HABA Marius 5 0 1 1 0 0.2 0 0 0 0 2\n#16 BERDILA Catalin 5 0 0 0 0 0 0 0 0 0 6\n#5 FLOREA Ioan 5 0 0 0 0 0 0 0 0 0 4\n#9 ORDOG Tihamer 5 0 0 0 0 0 0 0 0 0 2\n#11 ANDRAS Norbert 5 0 0 0 0 0 0 0 0 0 0\n#7 NECULA Mircea 5 0 0 0 0 0 0 0 0 0 0


RHOC's Tamra Judge Reveals the Real Reason She’s Leaving Her Dream Home: 'I Said, You Know What, We’re Out of Here' - WSTale.com\nHome » Home and Garden » RHOC's Tamra Judge Reveals the Real Reason She’s Leaving Her Dream Home: 'I Said, You Know What, We’re Out of Here'\nPrevious article « Mother of All Feuds! What’s Tori and Candy Spelling’s Relationship Like Now?\nNext article Ben Affleck & Shauna Sexton Split: He Ends Steamy Fling To Focus On ‘Sobriety & Family’ »


223/50 Harbour Boulevard, Shell Cove, NSW 2529\nProperty Value Harbour Boulevard 223/50 Harbour Boulevard\n135/50 Harbour Boulevard\n4/93 Harbour Boulevard\n223/50 Harbour Boulevard\nShell Cove NSW 2529\n223/50 Harbour Boulevard is a unit. See land size, building size and more below\nLand size 25,385 m²\nResearch homes neighbouring 223/50 Harbour Boulevard\n144/50 Harbour Boulevard\n161/50 Harbour Boulevard\n3/93 Harbour Boulevard\nSee all the homes on Harbour Boulevard, Shell Cove, NSW 2529.\nSpeak to a real estate agent in Shell Cove for an agent appraisal of your property.


Stationsinformation för RLXSVRLWA – Google Maps APRS\nAPRS-objekt RLXSVRLWA - Visa kurvor\n39°52.80' N 82°28.20' W - position EM89SV31OE - Visa karta - statisk karta\n3.9 miles mot sydväst bäring 234° från Thornport, Perry County, Ohio, United States [?]\n4.3 miles mot sydväst bäring 205° från Harbor Hills, Licking County, Ohio, United States\n28.6 miles mot öster bäring 101° från Columbus, Franklin County, Ohio, United States\n85.6 miles mot sydväst bäring 223° från Canton, Stark County, Ohio, United States\n2020-05-10 18:04:59 EDT (60d 18h35m sedan)\n2020-05-10 18:04:59 EDT lokal tid vid Thornport, United States [?]\nAndra angivna av RLXSVR:\nRLXSVR04A RLXSVR05A RLXSVR0AA RLXSVR0CA RLXSVR0fA RLXSVR0IA RLXSVR0KA RLXSVR0lA RLXSVR0MA RLXSVR0tA RLXSVR18A RLXSVR1eA RLXSVR1IA RLXSVR1OA RLXSVR1tA RLXSVR2AA RLXSVR2HA RLXSVR3cA RLXSVR3FA RLXSVR3JA RLXSVR49A RLXSVR4CA RLXSVR4fA RLXSVR4OA RLXSVR4sA RLXSVR4wA RLXSVR4YA RLXSVR5aA RLXSVR5NA RLXSVR64A RLXSVR66A RLXSVR6BA RLXSVR6lA RLXSVR73A RLXSVR7hA RLXSVR7oA RLXSVR7rA RLXSVR7YA RLXSVR8XA RLXSVR9nA RLXSVRCoA RLXSVREdA RLXSVREIA RLXSVRGRA RLXSVRHAA RLXSVRHdA RLXSVRHEA RLXSVRHKA RLXSVRHNA RLXSVRHOA RLXSVRHpA RLXSVRI0A RLXSVRI1A RLXSVRIcA RLXSVRIdA RLXSVRIGA RLXSVRIhA RLXSVRIiA RLXSVRIlA RLXSVRImA RLXSVRIOA RLXSVRIQA RLXSVRIRA RLXSVRItA RLXSVRIwA RLXSVRIxA RLXSVRJ2A RLXSVRJAA RLXSVRJEA RLXSVRJfA RLXSVRJNA RLXSVRJRA RLXSVRJwA RLXSVRK1A RLXSVRK2A RLXSVRKeA RLXSVRL1A RLXSVRL3A RLXSVRL9A RLXSVRLdA RLXSVRLfA RLXSVRLkA RLXSVRLMA RLXSVRLNA RLXSVRLrA RLXSVRMDA RLXSVRMhA RLXSVRMiA RLXSVRMmA RLXSVRMPA RLXSVRMrA RLXSVRMtA RLXSVRMvA RLXSVRN6A RLXSVRNBA RLXSVRNmA RLXSVRNnA RLXSVRNPA RLXSVRNuA RLXSVRNvA RLXSVRNxA\nStationer nära RLXSVRLWA - Visa mera\n4.1 miles 15° 2020-07-10 12:35:48\n4.8 miles 18° 2020-06-27 12:20:02\n5.0 miles 74° 2020-06-10 19:34:15\n6.5 miles 304° 2020-07-10 11:52:29\n7.9 miles 253° 2020-07-10 12:35:28\n8.0 miles 127° 2020-06-10 20:04:14\n9.4 miles 299° 2020-06-15 17:59:55\n10.1 miles 285° 2020-06-25 18:43:29\n10.1 miles 285° 2020-06-25 18:43:39\n10.1 miles 211° 2020-07-10 12:38:06\n10.2 miles 62° 2020-06-10 19:49:14\n11.3 miles 216° 2020-07-10 12:39:34\n11.3 miles 216° 2020-07-05 10:37:49\n11.6 miles 295° 2020-07-10 12:34:27\n12.2 miles 213° 2020-07-10 12:37:57\n12.2 miles 213° 2020-07-05 21:27:22\n12.2 miles 333° 2020-07-10 12:31:07\n12.4 miles 299° 2020-06-20 23:59:33\n12.8 miles 337° 2020-07-10 12:38:49\n12.8 miles 317° 2020-07-10 12:36:42


West Lilac Street Rogers, AR home and property info\n> West Lilac Street homes West Lilac Street homes\nWest Lilac Street, Rogers 72758 contains 38 assessor property records. 2000 West Lilac Street, Rogers AR\nThis 2 bathroom home has 1492 square feet and was built in 1993.\n1510 West Lilac Street, Rogers AR\n1613 West Lilac Street, Rogers AR\n2718 West Lilac Street, Rogers AR\nThis 3 bathroom home has 2304 square feet .\n1404 West Lilac Street, Rogers AR\nThis 2 bathroom home has 1351 square feet and was built in 1989.\n1516 West Lilac Street, Rogers AR\n2331 West Lilac Street, Rogers AR\nThis 2.5 bathroom home has 2276 square feet and was built in 1989.\n2327 West Lilac Street, Rogers AR\nThis 2.5 bathroom home has 2459 square feet and was built in 1987.\n2707 West Lilac Street, Rogers AR\nThis 2.5 bathroom home has 2739 square feet .\n1614 West Lilac Street, Rogers AR\n1402 West Lilac Street, Rogers AR\n1611 West Lilac Street, Rogers AR\n2709 West Lilac Street, Rogers AR\n2713 West Lilac Street, Rogers AR\n2004 West Lilac Street, Rogers AR\n1616 West Lilac Street, Rogers AR\n2716 West Lilac Street, Rogers AR\nThis 2.5 bathroom home has 2653 square feet and was built in 1998.\n2717 West Lilac Street, Rogers AR\nThis 4 bathroom home has 3220 square feet and was built in 2002.\n2114 West Lilac Street, Rogers AR\n1511 West Lilac Street, Rogers AR\nThis 2 bathroom home has 1549 square feet .\n1617 West Lilac Street, Rogers AR\nThis 2 bathroom home has 1551 square feet and was built in 1975.\n1615 West Lilac Street, Rogers AR\n1513 West Lilac Street, Rogers AR\n2714 West Lilac Street, Rogers AR\nThis 2.5 bathroom home has 2559 square feet and was built in 1998.\n2712 West Lilac Street, Rogers AR\nThis 3.5 bathroom home has 2644 square feet .\n2711 West Lilac Street, Rogers AR\n1515 West Lilac Street, Rogers AR\nThis 2 bathroom home has 1621 square feet and was built in 1975.\n1512 West Lilac Street, Rogers AR\n1610 West Lilac Street, Rogers AR\n2112 West Lilac Street, Rogers AR\nThis 1 bathroom home has 1177 square feet .\n1400 West Lilac Street, Rogers AR\nThis 3 bathroom home has 1915 square feet and was built in 1989.\n2008 West Lilac Street, Rogers AR\nThis 2 bathroom home has 2403 square feet and was built in 1994.\n2002 West Lilac Street, Rogers AR\nThis 2 bathroom home has 2369 square feet and was built in 1993.\n1514 West Lilac Street, Rogers AR\n2715 West Lilac Street, Rogers AR\n1612 West Lilac Street, Rogers AR\nThis 2 bathroom home has 1593 square feet and was built in 1975.\n2006 West Lilac Street, Rogers AR


Informacije za R3320436_ – Google Maps APRS\nAPRS objekt R3320436_ - pokaži grafikon\n49°04.82' N 13°26.72' E - lokator JN69RB39KG - pokaži mapu - statičke karte\n6.2 miles Jug smjer 184° od Hartmanice, Plzeňský Kraj, Czech Republic [?]\n6.6 miles Jugozapad smjer 229° od Kašperské Hory, Plzeňský Kraj, Czech Republic\n65.8 miles Sjeverozapad smjer 325° od Linz, Upper Austria, Austria\n82.1 miles Jugozapad smjer 212° od Prague, Hlavní Mesto Praha, Czech Republic\n2021-03-14 15:18:19 EDT (58d 3h39m prije)\n2021-03-14 20:18:19 CET lokalno vrijeme Hartmanice, Czech Republic [?]\nChuranov Cinovec CrvULibav DFM6021_ DFM6031_ DFM6046_ DFM6056_ DFM6058_ DFM6085_ DFM6095_ DFM6103_ DFM6116_ DFM6119_ DFM6138_ DFM6157_ DFM6164_ DFM6171_ DFM6184_ DFM6189_ DFM6196_ DFM6213_ DFM6228_ DFM6231_ DFM6248_ Fichtelbe GrArber Kosetice Kozakov Kozakov & LKCV LKKB LKKU LKKV LKLB LKLN LKMT LKNA LKPD LKPO LKPR LKTB LKVO LysaHora M1433294_ M2123076_ M2123084_ M2713025_ M2713065_ M2713108_ M2823168_ M2833282_ Milesovka N3540535_ N3540542_ N3540600_ N3541011_ N3541013_ N3550006_ N3550017_ N3550018_ P1910780_ P1910801_ P1910803_ P1910804_ P1910829_ P1910830_ P1910832_ P1910848_ P1910849_ P1920145_ P1920263_ P1920547_ P1920556_ P1920557_ P1920558_ P1920566_ P1920567_ P1920661_ P1920666_ P1920874_ P1920875_ P1920876_ P1930735_ P1930736_ P1930737_ P1930772_ P1930784_ P1930787_ P1930788_ P1930789_ P1930790_ P1930793_ P1930811_ P1930812_ P1930813_ P1930814_ P1930815_ P2010121_ P2010122_ P2010124_ P2010125_ P2010126_ P2010129_ P2010130_ P2010131_ P2010132_ P2010133_ P2010134_ P2010135_ P2010136_ P2010137_ P2010138_ P2010139_ P2010140_ P2010229_ P2010230_ P2010237_ P2010238_ P2010239_ P2010245_ P2010246_ P2010271_ P2010296_ P2010297_ P2010299_ P2010300_ P2010303_ P2010304_ P2010306_ P2010307_ P2010309_ P2010310_ P2010311_ P2010321_ P2010323_ P2010324_ P2010325_ P2010329_ P2010330_ P2010333_ P2010335_ P2010336_ P2010338_ P2010378_ P2010397_ P2010398_ P2010400_ P2010401_ P2010402_ P2010405_ P2010406_ P2010411_ P2010412_ P2010414_ P2010415_ P2010416_ P2010417_ P2010419_ P2010420_ P2010425_ P2010596_ P2010597_ P2010598_ P2010599_ P2010600_ P3410277_ P3410299_ P3410422_ P3410432_ P3430883_ P3430888_ P3530509_ P4930247_ PrahaLibu Primda R1150769_ R1150775_ R1150776_ R1150778_ R1150784_ R1150786_ R1150849_ R1150851_ R1240914_ R1240923_ R1240925_ R1240927_ R1240929_ R1240959_ R2150596_ R2450063_ R2450076_ R2450081_ R2450088_ R2450263_ R2450268_ R2450447_ R2450890_ R2450891_ R2450892_ R2450893_ R2450894_ R2450896_ R2450904_ R2450905_ R2450906_ R2450927_ R2450931_ R2450933_ R2450937_ R2450938_ R2451090_ R2451091_ R2510140_ R2510142_ R2510154_ R2510380_ R2510382_ R2510440_ R2510442_ R2510443_ R2510444_ R2520728_ R2520729_ R2520734_ R2521209_ R2521309_ R3251244_ R3251248_ R3310122_ R3310124_ R3320210_ R3320301_ R3320311_ R3320316_ R3320319_ R3320326_ R3320327_ R3320329_ R3320331_ R3320335_ R3320336_ R3320338_ R3320339_ R3320340_ R3320341_ R3320437_ R3320463_ R3320487_ R3320488_ R3320489_ 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R5140388_ R5140389_ R5140390_ R5140507_ R5140530_ R5140539_ R5140540_ Rana S0220043_ S0220044_ S0220045_ S0220046_ S0220047_ S0220052_ S0220054_ S0220055_ S0220056_ S0220057_ S0220059_ S0220068_ S0220073_ S0220075_ S0220077_ S0220086_ S0220097_ S0220098_ S0220100_ S0220171_ S0220199_ S0220201_ S0220230_ S0220231_ S0250012_ S0370220_ S0370221_ S0370222_ S0370223_ S0370224_ S0370226_ S0370231_ S0370232_ S0370233_ S0370234_ S0370239_ S0370240_ S0370253_ S0370255_ S0370256_ S0370257_ S0370258_ S0370261_ S0370262_ S0370264_ S0370265_ S0370266_ S0370267_ S0370268_ S0370269_ S0370271_ S0370272_ S0370276_ S0370282_ S0370285_ S0370288_ S0370673_ S0370674_ S0370675_ S0370676_ S0370677_ S0370678_ S0370691_ S0370692_ S0370694_ S0370695_ S0370703_ S0370704_ S0370705_ S0370707_ S0370708_ S0370711_ S0370717_ S0370718_ S0370719_ S0370726_ S0370745_ S0370746_ S0370747_ S0370748_ S0370761_ S0370762_ S0370777_ S0370779_ S0370805_ S0370806_ S0370807_ S0370808_ S0370809_ S0370811_ S0370817_ S0370818_ S0370820_ S0370821_ S0370971_ S0410017_ S0410031_ S0410032_ S0410034_ S0410035_ S0410036_ S0410038_ S0410040_ S0410042_ S0410086_ S0410547_ S0410548_ S0410583_ S0410601_ S0410634_ S0410733_ S0410735_ S0410769_ S0410770_ S0410772_ S0410773_ S0410774_ S0410778_ S0410779_ S0410780_ S0410781_ S0410787_ S0410788_ S0410789_ S0410790_ S0410804_ S0420061_ S0420064_ S0420065_ S0420066_ S0420067_ S0420068_ S0420069_ S0420070_ S0420071_ S0420077_ S0420078_ S0420121_ S0420122_ S0420124_\nStanice u blizini trenutne pozicije R3320436_ - pokaži više\n13.5 miles 202° 2021-05-11 18:55:03\n13.5 miles 202° 2021-05-11 18:56:15\n13.5 miles 280° 2021-05-11 11:00:04


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Zarek Valentin Stats, Goals, Records, Assists, Cups and more | FBref.com\nFB Home Page > Players > Zarek Valentin\nPosition: DF (FB, right) ▪ Footed: 84% Right*\nBorn: August 6, 1991 in Lancaster, Pennsylvania, United States us\nNational Team: Puerto Rico pr Other: United States\nZarek Valentin Overview\nMore Zarek Valentin Pages\n(4-3-4, 6th place in Major League Soccer)\nZarek Valentin Scouting Report\nZarek Valentin Scouting Report Table\nPlayer compared to positional peers in Major League Soccer over the last 365 days. Based on 2077 minutes played.\nSimilar Players to Zarek Valentin\nSimilar Players to Zarek Valentin Table\nWaylon Francis cr CRC Club Sport Herediano Compare\nChristian Mafla co COL Deportivo Cali Compare\nPablo Bonilla ve VEN Portland Timbers 2 Compare\nCompare Zarek Valentin to Top 5 Similar Players\n19 Chivas USA us USA 1. MLS 15th 25 24 2,112 23.5 0 0 0 0 0 5 0 0.00 0.00 0.00 0.00 0.00 Matches\n20 Montreal Impact us USA 1. MLS 12th 15 14 1,158 12.9 1 0 1 0 0 1 0 0.08 0.00 0.08 0.08 0.08 Matches\n22 Bodø/Glimt no NOR 1. Tippeligaen 13th 3 2 187 2.1 0 0 0 0 0 0 0 0.00 0.00 0.00 0.00 0.00 Matches\n23 Bodø/Glimt no NOR 1. Tippeligaen 9th 24 23 2,074 23.0 1 4 1 0 0 4 0 0.04 0.17 0.22 0.04 0.22 Matches\n24 Portland Timbers us USA 1. MLS 12th 20 18 1,605 17.8 1 1 1 0 0 2 0 0.06 0.06 0.11 0.06 0.11 Matches\n25 Timbers 2 us USA 2. USL 30th 3 2 225 2.5 0 0 0 0 0 0 0 0.00 0.00 0.00 0.00 0.00 Matches\n25 Portland Timbers us USA 1. MLS 6th 19 17 1,545 17.2 0 3 0 0 0 2 0 0.00 0.17 0.17 0.00 0.17 Matches\n26 Portland Timbers us USA 1. MLS 8th 32 30 2,723 30.3 0 0 0 0 0 4 0 0.00 0.00 0.00 0.00 0.00 0.4 0.4 1.6 1.9 0.01 0.05 0.06 0.01 0.06 Matches\n27 Portland Timbers us USA 1. MLS 11th 21 17 1,625 18.1 0 0 0 0 0 5 0 0.00 0.00 0.00 0.00 0.00 0.1 0.1 0.5 0.5 0.00 0.03 0.03 0.00 0.03 Matches\n28 Houston Dynamo us USA 1. MLS 25th 19 18 1,621 18.0 0 2 0 0 0 0 0 0.00 0.11 0.11 0.00 0.11 0.1 0.1 1.1 1.1 0.00 0.06 0.06 0.00 0.06 Matches\n29 Houston Dynamo us USA 1. MLS 25th 29 28 2,397 26.6 0 1 0 0 0 5 0 0.00 0.04 0.04 0.00 0.04 0.1 0.1 0.9 1.1 0.00 0.04 0.04 0.00 0.04 Matches\n30 Houston Dynamo us USA 1. MLS 6th 2 1 130 1.4 0 0 0 0 0 0 0 0.00 0.00 0.00 0.00 0.00 0.0 0.0 0.0 0.0 0.00 0.02 0.02 0.00 0.02 Matches\n6 Clubs 3 Leagues 212 194 17,402 193.4 3 11 3 0 0 28 0 0.02 0.06 0.07 0.02 0.07 0.6 0.6 4.1 4.7 0.01 0.04 0.05 0.01 0.05\n1 League 92 82 7,498 83.3 1 4 1 0 0 13 0 0.01 0.05 0.06 0.01 0.06 0.4 0.4 2.0 2.4 0.01 0.04 0.05 0.01 0.05\n1 League 50 47 4,148 46.1 0 3 0 0 0 5 0 0.00 0.07 0.07 0.00 0.07 0.2 0.2 2.0 2.2 0.00 0.04 0.05 0.00 0.05\n1 League 27 25 2,261 25.1 1 4 1 0 0 4 0 0.04 0.16 0.20 0.04 0.20\n1 League 25 24 2,112 23.5 0 0 0 0 0 5 0 0.00 0.00 0.00 0.00 0.00\n1 League 15 14 1,158 12.9 1 0 1 0 0 1 0 0.08 0.00 0.08 0.08 0.08\n1 League 3 2 225 2.5 0 0 0 0 0 0 0 0.00 0.00 0.00 0.00 0.00\n182 167 14,916 165.7 2 7 2 0 0 24 0 0.01 0.04 0.05 0.01 0.05 0.6 0.6 4.1 4.7 0.01 0.04 0.05 0.01 0.05\n27 25 2,261 25.1 1 4 1 0 0 4 0 0.04 0.16 0.20 0.04 0.20\n3 2 225 2.5 0 0 0 0 0 0 0 0.00 0.00 0.00 0.00 0.00\n19 Chivas USA us USA 1. MLS 15th 23.5 0 0 0.00 0 0 Matches\n20 Montreal Impact us USA 1. MLS 12th 12.9 1 1 0.08 1.00 0 0 Matches\n22 Bodø/Glimt no NOR 1. Tippeligaen 13th 2.1 0 0 0.00 0 0 Matches\n23 Bodø/Glimt no NOR 1. Tippeligaen 9th 23.0 1 2 0.09 0.50 0 0 Matches\n24 Portland Timbers us USA 1. MLS 12th 17.8 1 4 2 50.0 0.22 0.11 0.25 0.50 0 0 Matches\n25 Timbers 2 us USA 2. USL 30th 2.5 0 1 0 0.0 0.40 0.00 0.00 0 0 Matches\n25 Portland Timbers us USA 1. MLS 6th 17.2 0 1 0 0.0 0.06 0.00 0.00 0 0 Matches\n26 Portland Timbers us USA 1. MLS 8th 30.3 0 12 0 0.0 0.40 0.00 0.00 26.0 0 0 0 0.4 0.4 0.03 -0.4 -0.4 Matches\n27 Portland Timbers us USA 1. MLS 11th 18.1 0 3 0 0.0 0.17 0.00 0.00 25.3 0 0 0 0.1 0.1 0.02 -0.1 -0.1 Matches\n28 Houston Dynamo us USA 1. MLS 25th 18.0 0 2 0 0.0 0.11 0.00 0.00 10.9 0 0 0 0.1 0.1 0.04 -0.1 -0.1 Matches\n29 Houston Dynamo us USA 1. MLS 25th 26.6 0 2 0 0.0 0.08 0.00 0.00 12.3 0 0 0 0.1 0.1 0.06 -0.1 -0.1 Matches\n30 Houston Dynamo us USA 1. MLS 6th 1.4 0 0 0 0.00 0.00 0 0 0 0.0 0.0 0.0 0.0 Matches\n6 Clubs 3 Leagues 193.4 3 25 5 8.0 0.19 0.03 0.04 0.60 22.9 0 0 0 0.6 0.6 0.03 -0.6 -0.6\n1 League 83.3 1 20 2 10.0 0.24 0.02 0.05 0.50 25.9 0 0 0 0.4 0.4 0.03 -0.4 -0.4\n1 League 46.1 0 4 0 0.0 0.09 0.00 0.00 11.6 0 0 0 0.2 0.2 0.05 -0.2 -0.2\n1 League 25.1 1 2 0.08 0.50 0 0\n1 League 23.5 0 0 0.00 0 0\n1 League 12.9 1 1 0.08 1.00 0 0\n1 League 2.5 0 1 0 0.0 0.40 0.00 0.00 0 0\n165.7 2 24 3 8.3 0.19 0.02 0.04 0.67 22.9 0 0 0 0.6 0.6 0.03 -0.6 -0.6\n25.1 1 2 0.08 0.50 0 0\n2.5 0 1 0 0.0 0.40 0.00 0.00 0 0\n19 Chivas USA us USA 1. MLS 15th 23.5 0 Matches\n20 Montreal Impact us USA 1. MLS 12th 12.9 0 Matches\n22 Bodø/Glimt no NOR 1. Tippeligaen 13th 2.1 0 Matches\n23 Bodø/Glimt no NOR 1. Tippeligaen 9th 23.0 4 Matches\n24 Portland Timbers us USA 1. MLS 12th 17.8 1 Matches\n25 Timbers 2 us USA 2. USL 30th 2.5 0 Matches\n25 Portland Timbers us USA 1. MLS 6th 17.2 3 Matches\n26 Portland Timbers us USA 1. MLS 8th 30.3 1206 1491 80.9 25932 10678 362 413 87.7 609 718 84.8 230 336 68.5 0 1.6 -1.6 26 134 29 9 150 Matches\n27 Portland Timbers us USA 1. MLS 11th 18.1 845 985 85.8 17523 6087 270 292 92.5 428 481 89.0 145 196 74.0 0 0.5 -0.5 10 89 9 3 100 Matches\n28 Houston Dynamo us USA 1. MLS 25th 18.0 808 1033 78.2 18281 5918 227 256 88.7 404 491 82.3 172 248 69.4 2 1.1 +0.9 13 81 14 5 93 Matches\n29 Houston Dynamo us USA 1. MLS 25th 26.6 963 1262 76.3 19768 8285 337 381 88.5 452 548 82.5 164 284 57.7 1 0.9 +0.1 18 91 12 6 111 Matches\n30 Houston Dynamo us USA 1. MLS 6th 1.4 75 90 83.3 1351 390 29 31 93.5 40 42 95.2 6 15 40.0 0 0.0 0.0 1 4 0 0 4 Matches\n6 Clubs 3 Leagues 193.4 3897 4861 80.2 82855 31358 1225 1373 89.2 1933 2280 84.8 717 1079 66.5 11 4.1 -1.1 68 399 64 23 458\n1 League 83.3 2051 2476 82.8 43455 16765 632 705 89.6 1037 1199 86.5 375 532 70.5 4 2.0 -2.0 36 223 38 12 250\n1 League 46.1 1846 2385 77.4 39400 14593 593 668 88.8 896 1081 82.9 342 547 62.5 3 2.0 +1.0 32 176 26 11 208\n1 League 25.1 4\n165.7 3897 4861 80.2 82855 31358 1225 1373 89.2 1933 2280 84.8 717 1079 66.5 7 4.1 -1.1 68 399 64 23 458\n19 Chivas USA us USA 1. MLS 15th 23.5 Matches\n20 Montreal Impact us USA 1. MLS 12th 12.9 Matches\n22 Bodø/Glimt no NOR 1. Tippeligaen 13th 2.1 Matches\n23 Bodø/Glimt no NOR 1. Tippeligaen 9th 23.0 Matches\n24 Portland Timbers us USA 1. MLS 12th 17.8 39 Matches\n25 Timbers 2 us USA 2. USL 30th 2.5 3 Matches\n25 Portland Timbers us USA 1. MLS 6th 17.2 38 Matches\n26 Portland Timbers us USA 1. MLS 8th 30.3 1491 1255 236 16 2 208 35 33 0 0 0 0 911 260 320 261 925 64 220 6 1206 9 34 26 28 Matches\n27 Portland Timbers us USA 1. MLS 11th 18.1 985 840 145 15 2 95 22 17 0 0 0 0 639 192 154 135 664 42 130 4 845 3 6 13 15 Matches\n28 Houston Dynamo us USA 1. MLS 25th 18.0 1033 841 192 13 0 116 30 26 0 0 0 0 582 246 205 91 706 38 179 5 808 2 11 18 40 Matches\n29 Houston Dynamo us USA 1. MLS 25th 26.6 1262 980 282 27 2 158 29 20 0 0 0 0 714 279 269 125 814 52 255 2 963 3 24 48 39 Matches\n30 Houston Dynamo us USA 1. MLS 6th 1.4 90 74 16 1 0 8 1 3 0 0 0 0 57 21 12 9 61 2 15 2 75 0 2 3 2 Matches\n6 Clubs 3 Leagues 193.4 4861 3990 871 72 6 585 117 179 0 0 0 0 2903 998 960 621 3170 198 799 19 3897 17 77 108 124\n1 League 83.3 2476 2095 381 31 4 303 57 127 0 0 0 0 1550 452 474 396 1589 106 350 10 2051 12 40 39 43\n1 League 46.1 2385 1895 490 41 2 282 60 49 0 0 0 0 1353 546 486 225 1581 92 449 9 1846 5 37 69 81\n1 League 2.5 3\n165.7 4861 3990 871 72 6 585 117 176 0 0 0 0 2903 998 960 621 3170 198 799 19 3897 17 77 108 124\n24 Portland Timbers us USA 1. MLS 12th 17.8 Matches\n25 Timbers 2 us USA 2. USL 30th 2.5 Matches\n25 Portland Timbers us USA 1. MLS 6th 17.2 Matches\n26 Portland Timbers us USA 1. MLS 8th 30.3 54 1.78 51 1 0 0 1 1 3 0.10 3 0 0 0 0 0 Matches\n27 Portland Timbers us USA 1. MLS 11th 18.1 19 1.05 18 1 0 0 0 0 0 0.00 0 0 0 0 0 0 Matches\n28 Houston Dynamo us USA 1. MLS 25th 18.0 31 1.72 28 3 0 0 0 0 3 0.17 3 0 0 0 0 0 Matches\n29 Houston Dynamo us USA 1. MLS 25th 26.6 32 1.20 29 2 0 1 0 0 1 0.04 1 0 0 0 0 0 Matches\n30 Houston Dynamo us USA 1. MLS 6th 1.4 1 0.69 1 0 0 0 0 0 0 0.00 0 0 0 0 0 0 Matches\n6 Clubs 3 Leagues 193.4 137 1.45 127 7 0 1 1 1 7 0.07 7 0 0 0 0 0\n1 League 83.3 73 1.51 69 2 0 0 1 1 3 0.06 3 0 0 0 0 0\n1 League 46.1 64 1.39 58 5 0 1 0 0 4 0.09 4 0 0 0 0 0\n165.7 137 1.45 127 7 0 1 1 1 7 0.07 7 0 0 0 0 0\n24 Portland Timbers us USA 1. MLS 12th 17.8 47 36 Matches\n25 Timbers 2 us USA 2. USL 30th 2.5 6 5 Matches\n25 Portland Timbers us USA 1. MLS 6th 17.2 18 41 Matches\n26 Portland Timbers us USA 1. MLS 8th 30.3 76 38 51 21 4 32 49 65.3 17 435 114 26.2 291 100 44 73 10 0 63 18 94 88 0 Matches\n27 Portland Timbers us USA 1. MLS 11th 18.1 30 11 22 3 5 12 39 30.8 27 232 67 28.9 122 74 36 36 10 0 26 15 45 67 0 Matches\n28 Houston Dynamo us USA 1. MLS 25th 18.0 38 28 22 13 3 15 36 41.7 21 200 73 36.5 107 66 27 36 10 0 26 13 51 66 2 Matches\n29 Houston Dynamo us USA 1. MLS 25th 26.6 50 35 30 17 3 22 44 50.0 22 326 111 34.0 148 138 40 34 9 0 25 51 101 86 0 Matches\n30 Houston Dynamo us USA 1. MLS 6th 1.4 2 1 0 1 1 0 3 0.0 3 11 4 36.4 5 3 3 2 1 0 1 4 6 1 0 Matches\n6 Clubs 3 Leagues 193.4 196 184 125 55 16 81 171 47.4 90 1204 369 30.6 673 381 150 181 40 0 141 183 297 308 2\n1 League 83.3 106 114 73 24 9 44 88 50.0 44 667 181 27.1 413 174 80 109 20 0 89 110 139 155 0\n1 League 46.1 90 64 52 31 7 37 83 44.6 46 537 188 35.0 260 207 70 72 20 0 52 68 158 153 2\n1 League 2.5 6 5 0\n165.7 196 178 125 55 16 81 171 47.4 90 1204 369 30.6 673 381 150 181 40 0 141 178 297 308 2\n26 Portland Timbers us USA 1. MLS 8th 30.3 1777 106 588 898 375 20 1544 16 22 72.7 16 0 1067 4773 2846 96 19 5 7 15 1023 970 94.8 42 Matches\n27 Portland Timbers us USA 1. MLS 11th 18.1 1139 68 335 590 269 11 995 6 9 66.7 6 0 691 2852 1568 64 17 2 5 5 707 673 95.2 36 Matches\n28 Houston Dynamo us USA 1. MLS 25th 18.0 1191 89 400 580 259 12 1002 4 5 80.0 4 0 626 2561 1457 64 12 2 7 8 709 667 94.1 19 Matches\n29 Houston Dynamo us USA 1. MLS 25th 26.6 1492 99 491 752 320 7 1214 4 10 40.0 4 0 751 2889 1680 58 29 2 8 7 800 756 94.5 17 Matches\n30 Houston Dynamo us USA 1. MLS 6th 1.4 105 2 35 47 29 2 89 0 0 0 0 62 228 140 7 4 0 2 1 65 61 93.8 2 Matches\n6 Clubs 3 Leagues 193.4 5704 364 1849 2867 1252 52 4844 30 46 65.2 30 0 3197 13303 7691 289 81 11 29 36 3304 3127 94.6 116\n1 League 83.3 2916 174 923 1488 644 31 2539 22 31 71.0 22 0 1758 7625 4414 160 36 7 12 20 1730 1643 95.0 78\n1 League 46.1 2788 190 926 1379 608 21 2305 8 15 53.3 8 0 1439 5678 3277 129 45 4 17 16 1574 1484 94.3 38\n165.7 5704 364 1849 2867 1252 52 4844 30 46 65.2 30 0 3197 13303 7691 289 81 11 29 36 3304 3127 94.6 116\n19 Chivas USA us USA 1. MLS 15th 25 2,112 84 23.5 24 22 1 31 30 +1 +0.04 Matches\n20 Montreal Impact us USA 1. MLS 12th 15 1,158 77 12.9 14 10 1 20 22 -2 -0.16 Matches\n22 Bodø/Glimt no NOR 1. Tippeligaen 13th 3 187 62 6.9 2.1 2 2 1 1 1.33 2 4 -2 -0.96 -0.50 Matches\n23 Bodø/Glimt no NOR 1. Tippeligaen 9th 24 2,074 86 76.8 23.0 23 22 1 5 1.42 41 38 +3 +0.13 +0.99 Matches\n24 Portland Timbers us USA 1. MLS 12th 20 1,605 80 52.5 17.8 18 13 2 9 1.10 22 27 -5 -0.28 -0.28 Matches\n25 Timbers 2 us USA 2. USL 30th 3 225 75 7.8 2.5 2 2 1 0 1.33 2 1 +1 +0.40 +1.65 Matches\n25 Portland Timbers us USA 1. MLS 6th 19 1,545 81 50.5 17.2 17 13 2 10 1.47 27 23 +4 +0.23 -0.12 Matches\n26 Portland Timbers us USA 1. MLS 8th 32 2,723 85 89.0 30.3 30 89 28 2 29 2 1.76 51 39 +12 +0.40 +2.00 45.6 37.7 +7.9 +0.26 +1.05 Matches\n27 Portland Timbers us USA 1. MLS 11th 21 1,625 77 53.1 18.1 17 90 15 4 25 8 1.67 29 29 0 0.00 -0.19 27.2 27.8 -0.7 -0.04 +0.14 Matches\n28 Houston Dynamo us USA 1. MLS 25th 19 1,621 85 78.3 18.0 18 90 18 1 1 4 1.05 26 29 -3 -0.17 +1.24 30.0 26.1 +4.0 +0.22 +1.34 Matches\n29 Houston Dynamo us USA 1. MLS 25th 29 2,397 83 78.3 26.6 28 85 23 1 27 5 1.00 31 39 -8 -0.30 +1.06 30.6 37.5 -6.8 -0.26 +0.06 Matches\n30 Houston Dynamo us USA 1. MLS 6th 2 130 65 13.1 1.4 1 85 0 1 45 8 0.50 0 1 -1 -0.69 -0.90 0.5 0.8 -0.3 -0.23 -0.29 Matches\n6 Clubs 3 Leagues 212 17,402 82 53.0 193.4 194 88 168 18 26 52 1.36 282 282 0 0.00 +0.50 133.9 129.8 +4.1 +0.04 +0.36\n1 League 92 7,498 82 61.3 83.3 82 89 69 10 26 29 1.54 129 118 +11 +0.13 +0.08 72.8 65.5 +7.2 +0.15 +0.44\n1 League 50 4,148 83 67.8 46.1 47 87 41 3 24 17 1.00 57 69 -12 -0.26 +0.42 61.1 64.3 -3.2 -0.07 +0.26\n1 League 27 2,261 84 41.9 25.1 25 24 2 6 1.41 43 42 +1 +0.04 +0.58\n1 League 25 2,112 84 23.5 24 22 1 31 30 +1 +0.04\n1 League 15 1,158 77 12.9 14 10 1 20 22 -2 -0.16\n1 League 3 225 75 7.8 2.5 2 2 1 0 1.33 2 1 +1 +0.40 +1.65\n182 14,916 82 63.4 165.7 167 88 142 15 26 46 1.35 237 239 -2 -0.01 +0.15 133.9 129.8 +4.1 +0.04 +0.36\n27 2,261 84 41.9 25.1 25 24 2 6 1.41 43 42 +1 +0.04 +0.58\n3 225 75 7.8 2.5 2 2 1 0 1.33 2 1 +1 +0.40 +1.65\n19 Chivas USA us USA 1. MLS 15th 23.5 5 0 20 Matches\n20 Montreal Impact us USA 1. MLS 12th 12.9 1 0 8 Matches\n22 Bodø/Glimt no NOR 1. Tippeligaen 13th 2.1 0 0 Matches\n23 Bodø/Glimt no NOR 1. Tippeligaen 9th 23.0 4 0 9 Matches\n24 Portland Timbers us USA 1. MLS 12th 17.8 2 0 0 12 8 0 39 36 47 0 0 0 Matches\n25 Timbers 2 us USA 2. USL 30th 2.5 0 0 0 1 0 0 3 5 6 0 0 0 Matches\n25 Portland Timbers us USA 1. MLS 6th 17.2 2 0 0 12 6 0 38 41 18 0 0 0 Matches\n26 Portland Timbers us USA 1. MLS 8th 30.3 4 0 0 24 17 1 33 18 38 0 0 0 287 28 30 48.3 Matches\n27 Portland Timbers us USA 1. MLS 11th 18.1 5 0 0 16 6 0 17 15 11 0 1 0 171 22 16 57.9 Matches\n28 Houston Dynamo us USA 1. MLS 25th 18.0 0 0 0 6 4 0 26 13 28 0 0 0 173 24 16 60.0 Matches\n29 Houston Dynamo us USA 1. MLS 25th 26.6 5 0 0 34 11 0 20 51 35 0 1 2 199 36 38 48.6 Matches\n30 Houston Dynamo us USA 1. MLS 6th 1.4 0 0 0 2 2 0 3 4 1 0 0 0 14 1 2 33.3 Matches\n6 Clubs 3 Leagues 193.4 28 0 0 144 54 1 179 183 184 0 2 2 844 111 102 52.1\n1 League 83.3 13 0 0 64 37 1 127 110 114 0 1 0 458 50 46 52.1\n1 League 46.1 5 0 0 42 17 0 49 68 64 0 1 2 386 61 56 52.1\n1 League 25.1 4 0 9\n1 League 23.5 5 0 20\n1 League 12.9 1 0 8\n1 League 2.5 0 0 0 1 0 0 3 5 6 0 0 0\n165.7 24 0 0 134 54 1 176 178 178 0 2 2 844 111 102 52.1\n25.1 4 0 9\n2.5 0 0 0 1 0 0 3 5 6 0 0 0\nYou are here: FB Home Page > Players > Zarek Valentin


E brezhoneg : le linguiste Jean Le Dû est décédé | Page 3 | Montray Kréyol\n"Alfred sé ta nou, enben sé ta nou ! Kité nou épi ta nou !" (746)\nMinistresses et secrétaires d'état renvoyées dans leurs foyers (724)\nPourquoi je vote Alfred Marie-Jeanne (458)


Silver Vollrath Mixing & Measuring - Walmart.com\nGenerated at Thu, 25 Apr 2019 07:22:09 GMT\nElectrode, Comp-406229950, DC-prod-cdc02, ENV-prod-a, PROF-PROD, VER-18.4.5-rc-1, SHA-1d465de19fada6e2cc82b85d39c4dfa2e170a853, CID-572fa257-86e-16a535f832682a, Generated: Thu, 25 Apr 2019 07:22:09 GMT\n© 2019 Walmart. All Rights Reserved. To ensure we are able to help you as best we can, please include your reference number: AQUUL3YH1E\nElectrode, Comp-406229926, DC-prod-cdc02, ENV-prod-a, PROF-PROD, VER-18.4.5-rc-1, SHA-1d465de19fada6e2cc82b85d39c4dfa2e170a853, CID-08d08675-a48-16a535f8327e37, Generated: Thu, 25 Apr 2019 07:22:09 GMT\nElectrode, Comp-457438188, DC-prod-cdc8, ENV-prod-a, PROF-PROD, VER-8.12.1, SHA-b3cb8446fe3e1573f103f187f35f1a357ce9b788, CID-38728797-56b-16a535f8313c38, Generated: Thu, 25 Apr 2019 07:22:09 GMT


Warning: file_get_contents(http://plusim.ru/GetArticle.aspx?Domain=moda&ArticleURL=moda-osen-zima-2017-stil-odezhda-modeli-modelery-dizaynery-pokazy-nedeli-mody-kollekcii&ArticleID=38545): failed to open stream: HTTP request failed! HTTP/1.1 412 Precondition Failed in /home/host1590624/allmoda.net/htdocs/www/blog.php on line 10\nWarning: file_get_contents(http://plusim.ru/GetArticle.aspx?Domain=moda&ArticleURL=moda-osen-zima-2017-stil-odezhda-modeli-modelery-dizaynery-pokazy-nedeli-mody-kollekcii&ArticleID=38545): failed to open stream: HTTP request failed! HTTP/1.1 412 Precondition Failed in /home/host1590624/allmoda.net/htdocs/www/blog.php on line 45


Saccharomyces cerevisiae Meyen ex E.C. Hansen ATCC ® 4025307™\nSaccharomyces cerevisiae Meyen ex E.C. Hansen (ATCC® 4025307™)\nAlternate State: Candida robusta Diddens et Lodder / Strain Designations: YLR398C BY4743, heterozygous diploid  / Product Format: frozen\nSaccharomyces cerevisiae Meyen ex E.C. Hansen ATCC® 4025307™\nYLR398C BY4743, heterozygous diploid \nMATa/MATalpha his3delta1/his3delta1 leu2delta0/leu2delta0 lys2delta0/+ met15delta0/+ ura3delta0/ura3delta0 deltaSKI2 (Chromosome: 12, YLR398C, Record nbr: 25307, Gene name: SKI2), (Saccharomyces Genome Deletion Project, personal communication)\nChromosome: 12, YLR398C, Record nbr: 25307, Gene name: SKI2


GL - 900 Conventional SMR site specific\nGM - 800 Conventional SMR site specific\nGR - 900 Conventional SMR\nGX - 800 Conventional SMR\nYC - 800 Auctioned SMR\nYD - 900 Auctioned SMR\nYH - 800 Auctioned SMR - Rebanded YC\nYL - 900 Trunked SMR site specific\nYM - 800 Trunked SMR site specific\nYS - 900 Trunked SMR\nYX - 800 Trunked SMR\nBy Name of BEA\nBy BEA Number\nSale of part of a license based on a geographic area. rule 90.911 (800 MHz) & rule 90.813 (900 MHz)\nLeasing of all or a part of a licensee's spectrum usage rights associated with a license. licenses. More...


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ur vaouez kozh\nSujet: ur vaouez kozh Sam 22 Nov - 11:05\npourquoi dans "ur vaouez kozh" ya pas mutation de "kozh" en "gozh" ?\nSujet: Re: ur vaouez kozh Sam 22 Nov - 15:27\nParce que les adjectifs qui commencent par k, p, t ne mutent qu'après un substantif qui se finit par une voyelle ou l, m, n, r, v.\nSujet: Re: ur vaouez kozh Sam 22 Nov - 15:58\nha oué cette règloe, j'avais oublié\net dirait on ?\nchas klanv eo\nchas klanv int\nSujet: Re: ur vaouez kozh Sam 22 Nov - 16:35\nchas klañv int\nchas klañv eo ar chas-mañ\nC'est uen histoire de présence ou pas d'un sujet\nSujet: Re: ur vaouez kozh Sam 22 Nov - 16:54\nça pose pas de prob du fait de 2 pluriels ds meme phrase ?\nSujet: Re: ur vaouez kozh Sam 22 Nov - 18:56\nSi lez pluriel est déjà exprimé par le sujet, pas besoin de le marquer pour le verbe.\nMais là (chas int); chas n'est pas le sujet, justement\nSujet: Re: ur vaouez kozh Sam 22 Nov - 18:58\nha ben ya\nSujet: Re: ur vaouez kozh Sam 22 Nov - 19:13\nIl y a peut-être des exceptions locales à lmnrv : "An intañvez gozh” http://www.radio-kreiz-breizh.org/index.php?option=com_content&task=view&id=49&Itemid=2. C'est la deuxième que je note dans ce coin-là.\nSujet: Re: ur vaouez kozh Sam 22 Nov - 20:36\nEn vannetais aussi on dit le plus souvent "ur vaouez gozh", et aussi parfois "an iliz gozh". Donc après z, il semble qu'en vannetais au moins la mutation k>g soit possible. Pour les autres consonnes finales avec k, t, p, j'ai pas d'exemple, mais il y a peut-être d'autres exceptions.\nSujet: Re: ur vaouez kozh Dim 23 Nov - 3:02\nOui, exact,j'en ai parlé avec des gens du coin ce soir, justement pour "ur vaouez gozh"\nSujet: Re: ur vaouez kozh


A true oasis! - Review of Riad Dalla Santa, Marrakech, Morocco - TripAdvisor\nA true oasis! - Riad Dalla Santa\nSee the most recent reviews nesh_kitty\nEnglish first French first German first Italian first Japanese first Spanish first Any Cheap_Trash\n#95 of 1,170 in Marrakech 264 reviews\n#32 of 1,170 in Marrakech 425 reviews\nExplore similar hotels Riad Bamaga Hotel 355 ReviewsShow Prices 0.3 miles Riad Kheirredine 1,336 ReviewsShow Prices 0.0 miles Riad Moulay 56 ReviewsShow Prices 0.7 miles See all Marrakech hotels Browse nearby


Websolutions used on Czechfirstvideo.com\nHTTPS (SSL) - Czechfirstvideo.com\nDomain name with Hindi letters: च ज़ ए च (h) फ़ इ र स ट व इ द ए ओ . च ओ म\nDomain name with Hebrew letters: ק(c) ז (e) ק(c) ה ף (i) ר שׂ ת ו (i) ד (e) (ο) . ק(c) (ο) מ\nDomain name with Cyrillic letters: ц ζ e ц х φ и р с т в и д e о . ц о м\nDomain name with Arabic letters: (c) ز (e) (c) ح ف (i) ر ص ت (v) (i) د (e) (o) . (c) (o) م\nDomain name with Greek letters: χ ζ ε χ (h) φ ι ρ σ τ (v) ι δ ε ο . χ ο μ\nDomain name with Chinese letters: 西 贼德 伊 西 艾尺 艾弗 艾 艾儿 艾丝 提 维 艾 迪 伊 哦 . 西 哦 艾马\nDomain without Consonants: czchfrstvd.cm\nDomain without Vowels: zeiieo.o\nAlphabet positions: c3 z26 e5 c3 h8 f6 i9 r18 s19 t20 v22 i9 d4 e5 o15 . c3 o15 m13\nV: Vowel, C: Consonant, N: Number C C V C C C V C C C C V C V V . C V C\nUsed metatags and their values on Czechfirstvideo.com\nReverse IP lookup - czechfirstvideo.com


1Adam Stern-2.50.6-0.3-0.30.4 -5.4815.77-31.32-9.994.66 2Jason Johnson-0.30.0 -15.144.27 3Julian Tavarez-0.10.0 -0.312.84 4Dustan Mohr-0.70.81.3-1.0-1.2-0.4 -0.852.628.01-8.88-5.29-12.28 5Trot Nixon4.43.70.7-0.4-2.3-0.6 0.471.672.66-0.31-0.82-1.47 6Gabe Kapler-0.51.4-0.1-0.3-0.50.0 -0.171.49-0.98-0.42-0.763.51 7Dustin Pedroia11.44.8-1.5-4.31.10.00.50.711.36-1.22-2.010.55-0.0325.83\n8Matt Clement0.00.1 -0.1-0.1 0.161.17 -6.21-6.21 9Mark Loretta-9.54.8-0.5-0.1-4.8-0.4 -0.601.16-0.63-0.06-2.55-2.08 10David Ortiz83.68.43.16.810.10.3 2.931.021.741.241.240.25 11J.D. Drew6.31.82.73.3-3.8-0.8-0.30.570.592.681.93-1.09-1.64-2.04\n15Jacoby Ellsbury1.60.12.50.54.7-0.4 0.560.115.591.3211.42-4.72 16Manny Ramirez46.8-2.0-0.71.314.72.00.71.79-0.27-0.410.363.652.8111.29\n17Corky Miller-0.50.0 -0.2-0.4 -4.88-0.39 -23.68-7.99 18J.T. Snow-2.0-0.1-0.4-0.30.2-0.1 -1.32-0.44-4.52-2.730.75-3.01 19Wily Mo Pena1.4-2.32.7-3.60.91.4 0.16-0.594.33-1.610.487.41 20Eric Hinske6.5-1.6-1.6-2.6-0.7-2.8-0.60.98-0.98-3.24-2.45-0.36-7.50-6.61\n22Alex Gonzalez-5.7-4.4-2.93.92.6-0.2 -0.63-1.61-4.502.472.27-2.50 23Jason Varitek11.5-7.70.9-2.7-0.7-2.5 0.54-1.900.54-0.85-0.12-3.01 24Alex Cora-6.6-3.6-1.50.9-5.0-3.6-0.5-0.56-1.91-2.690.77-2.95-9.45-10.71\n26Bobby Kielty-1.4-1.2-0.4-0.80.60.2 -1.30-3.14-2.52-5.441.303.44 27Kevin Cash-1.9-1.4-0.3-0.2-0.6 -2.47-3.74-2.37-2.47-8.40 28Brandon Moss1.9-0.70.0-0.7-0.70.5 2.57-3.933.72-7.72-6.8325.83 29Ken Huckaby-1.0-0.1 0.0 -7.48-3.97 -4.86 30Josh Beckett1.4-0.4-0.6-0.10.0 3.81-5.35-7.17-0.94-1.55 Custom Leaderboards


Leny Eversong - Bossa... Com A Internacional Leny Eversong mp3 album download\nmdigital » Latin » Leny Eversong - Bossa... Com A Internacional Leny Eversong\nLeny Eversong - Bossa... Com A Internacional Leny Eversong download mp3 album\nLeny_Eversong Bossanova 1965\nBossa... Com A Internacional Leny Eversong\nVQF WAV VOC RA AIFF AIFF MP3\nLeny Eversong Stay In My Arms. play) (pause) (download) (fb) (vk) (tw). Leny Eversong (I've Got a Gal In) Kalamazoo.\nStyle: latin-american. Leny Eversong - Jangada 03:16. Leny Eversong - Na Baixa do Sapateiro 04:14. Leny Eversong - Autumn Concerto 02:29. Leny Eversong - Nunca 03:37. Leny Eversong - Canta Brasil, Aquarela do Brasil, Brasil 03:59. Leny Eversong - My Yiddishe Momme 04:23. Leny Eversong - Do Pilá 02:46. Leny Eversong - Because of You 02:27. Leny Eversong - Stop the Clock 03:18. Leny Eversong - El Cumbanchero/Tierra Va Tiembla 04:46.\nEversong скачать mp3 в хорошем качестве, либо слушайте песню Eversong - Pressure, Leny Eversong - Stop The Clock, Leny Eversong - Jezebel, Leny Eversong - Na Baixa Do Sapateiro, Leny Eversong - Nunca, а также рингтоны на звонок и все новые треки. Leny Eversong – El Cumbanchero/Tierra Va Tiembla. World of Warcraft – Eversong Woods. Leny Eversong – Pode Ser (Chances Are). Eversong – An Evil Beyond.\nComposed By – Almeida Rêgo, Carlos Cruz\nSimilar to Leny Eversong - Bossa... Com A Internacional Leny Eversong\nLeny - Flamenco album mp3


Pajenn:Sales - Introduction d’ar Vuez devot.djvu/443 - Wikimammenn\nPajenn:Sales - Introduction d’ar Vuez devot.djvu/443\n2. Considerit pe da biou hoc’h eus great ar brotestation-se, rac da Zoue eo. Mar deo ar brotestation ræsonabl great d’an dud e hon oblich quement, peguement hon oblich mui ar re hon eus grêt da Zoue ? Ah ! va Doue, eme Zavid, dec’hu eo e deveus va c’halon e lavaret, dec’hu eo e deveus proposet ar goms vad-se ; jamæs ne ancounec’haïn.\nAdtapet diwar « https://br.wikisource.org/w/index.php?title=Pajenn:Sales_-_Introduction_d’ar_Vuez_devot.djvu/443&oldid=125315 »


Enigma Moment by Vinod Orie | Enigma (Musical Project)\nI'm a true Enigma fan, I really love all Enigma songs, they are all one by one truelly masterpieces. But with The Eyes of Truth, it gives me such a spiritual, wonderful and a emotional feeling, a feeling that I cannot describe, so beautiful...\nI've loved Return to Innocence since I first heard it as a teenager but it was only after a tragic ...\nThat guitar solo gets me every time, I literally lose myself in my own mind whenever I hear this ...


enfermagem - 8015 Palavras | Trabalhosfeitos\nl 9 ó l b y W a l c s k aI)u i x rìo\nPROFESSORA ETICA E HISTÓRIA DA ENFERMAGEM\nD A E S C O L A D E E N F E R M A GEM AN A N ÉR I D A U .F.R .J.\nJ a i r Pi n to\n5çEDI Ç ÃO\nNewton de Figueiredo Coutinho\nJULIO C. REIS- LIVRARIA\nDir eit os desta e d i ç ã o re s e rv a d o s a J ÚLI O C . R E IS L IVR AR IA\nTrav es s ado O uvi d o r 3 6 _ 2 e A n d a r _ e r.\nRi o d e J a n e i ro\nPrinted in Brqzil/lmpresso no Br;rsil\nTravessa Ouvi dor 6 - 2" A ndar grp.4 - Tel . 263 ?549 do 3\n20.O4O- R i o de J anei ro-R J .\nP ri rn e ra e d i ç ã o . 1 9 5I i S e g u n d ae d i ç ã o , l 9 ó 0\nT ç rc e i ra e d i ç ã o , l 9 ó 3\nQ u a rta e d i ç ã o , 1 9 6 8\nQ u i n ta e d i ç à o , 1 9 7 9\n< .,.,.) |\nÍ i l\nPrefácio da I I edi ção\nPrefácio da 2+ edi ção\nPrefácio da 5e edi ção\nil l3 t5 l1 Unidade\n,, Origensda Enfermaggm\n. TemposAntigos . . ./.\nA ssi ri a e B abi l ôni a lPersia 24\nU ni dade II\nP eríodo da U ni dade C r ist ã\nD i aconi as e X enodoq ur a\nV i da rel i gi osa\nOrdens mi l i tares\nOrdens secul ares\nInfl uênci a Á rabe na medicina\nE scol asde medi ci na\nrDecadência Enfermagem da As Misericórdias .\nt Evoluçào dos hospitais .V.\nR e fo r m a r eligios a\nC o n c ilio de T r ent o\nPrecursores Enfermagem da Moderna rS. Vi ç ent e de P aulo\n. '\_ Te n tat iv aspr ot es t a n te s c^ sto r T eodor o F lie d n e r\n,^ Te n tat iv asleigas\n..'Pro g r es s da M edic i


Soheil Sadi-Nezhad - researchr alias\nAmir Hosein Mahmoodi\nPublications by 'Soheil Sadi-Nezhad'\nTuning structural parameters of neural networks using genetic algorithm: A credit scoring applicationHamid Reza Kazemi, Kaveh Khalili Damghani, Soheil Sadi-Nezhad. es, 38(7), 2021. [doi]\nLinguistic Z-Number Bonferroni Mean and Linguistic Z-Number Geometric Bonferroni Mean Operators: Their Applications in Portfolio Selection ProblemsAmir Hosein Mahmoodi, Seyed Jafar Sadjadi, Soheil Sadi-Nezhad, Roya Soltani, Farzad Movahedi-Sobhani. access, 8:98742-98760, 2020. [doi]\nFuzzy demographic analysis using fuzzy regression models based on fuzzy distance-A case on the impact of fuzzy demographic factors on monetary aggregates in Canada versus JapanSoheil Sadi-Nezhad, Stephen Bonnar, Doug Andrews. jifs, 37(1):753-769, 2019. [doi]\nMulti-Objective Complete Fuzzy Clustering ApproachParastou Shahsamandi E., Soheil Sadi-Nezhad, Abbas Saghaei. iasc, 23(2):285-294, 2017. [doi]\nRobust bi-level optimization for green opportunistic supply chain network design problem against uncertainty and environmental riskHêris Golpîra, Esmaeil Najafi, Mostafa Zandieh, Soheil Sadi-Nezhad. candie, 107:301-312, 2017. [doi]\nTheoretical Drawbacks in Fuzzy Ranking Methods and Some Suggestions for a Meaningful Comparison: An Application to Fuzzy Risk AnalysisAlireza Sotoudeh-Anvari, Seyed Jafar Sadjadi, Soheil Sadi-Nezhad. cas, 48(8):551-575, 2017. [doi]\nAn extension on PROMETHEE based on the typical hesitant fuzzy sets to solve multi-attribute decision-making problemAmin Mahmoudi, Soheil Sadi-Nezhad, Ahmad Makui, Mohammad Reza Vakili. kybernetes, 45(8):1213-1231, 2016. [doi]\nA Hybrid Fuzzy-Intelligent System for Group Multi-Attribute Decision MakingAmin Mahmoudi, Soheil Sadi-Nezhad, Ahmad Makui. ijfs, 18(6):1117-1130, 2016. [doi]\nA new data envelopment analysis in fully fuzzy environment on the base of the degree of certainty of informationAlireza Sotoudeh-Anvari, Esmaeil Najafi, Soheil Sadi-Nezhad. jifs, 30(6):3131-3142, 2016. [doi]\nA new approach based on the level of reliability of information to determine the relative weights of criteria in fuzzy TOPSISAlireza Sotoudeh-Anvari, Soheil Sadi-Nezhad. ijads, 8(2):164-178, 2015. [doi]\nImprecise DEA Models to Assess the Agility of Supply ChainsKaveh Khalili Damghani, Soheil Sadi-Nezhad, Farhad Hosseinzadeh Lotfi. In Cengiz Kahraman, Basar Öztaysi, editors, Supply Chain Management Under Fuzziness - Recent Developments and Techniques. Volume 313 of Studies in Fuzziness and Soft Computing, pages 167-198, Springer, 2014. [doi]\nA new flexible and reliable interval valued fuzzy VIKOR method based on uncertainty risk reduction in decision making process: An application for determining a suitable location for digging some pits for municipal wet waste landfillM.-N. Mokhtarian, Soheil Sadi-Nezhad, Ahmad Makui. candie, 78:213-233, 2014. [doi]\nA new flexible and reliable IVF-TOPSIS method based on uncertainty risk reduction in decision making processM.-N. Mokhtarian, Soheil Sadi-Nezhad, Ahmad Makui. asc, 23:509-520, 2014. [doi]\nA decision support system for fuzzy multi-objective multi-period sustainable project selectionKaveh Khalili Damghani, Soheil Sadi-Nezhad. candie, 64(4):1045-1060, 2013. [doi]\nA hybrid fuzzy multiple criteria group decision making approach for sustainable project selectionKaveh Khalili Damghani, Soheil Sadi-Nezhad. asc, 13(1):339-352, 2013. [doi]\nA two-stage approach based on ANFIS and fuzzy goal programming for supplier selectionKaveh Khalili Damghani, Hossein Dideh-Khani, Soheil Sadi-Nezhad. ijads, 6(1):1-14, 2013. [doi]\nA hybrid fuzzy rule-based multi-criteria framework for sustainable project portfolio selectionKaveh Khalili Damghani, Soheil Sadi-Nezhad, Farhad Hosseinzadeh Lotfi, Madjid Tavana. isci, 220:442-462, 2013. [doi]\nSolving multi-period project selection problems with fuzzy goal programming based on TOPSIS and a fuzzy preference relationKaveh Khalili Damghani, Soheil Sadi-Nezhad, Madjid Tavana. isci, 252:42-61, 2013. [doi]\nSolving a fuzzy fixed charge solid transportation problem by metaheuristicsS. Molla-Alizadeh-Zavardehi, Soheil Sadi-Nezhad, Reza Tavakkoli-Moghaddam, M. Yazdani. mcm, 57(5-6):1543-1558, 2013. [doi]\nFuzzy distance of triangular fuzzy numbersSoheil Sadi-Nezhad, Ameneh Noroozi-yadak, Ahmad Makui. jifs, 25(4):845-852, 2013. [doi]\nA fuzzy group data envelopment analysis model for high-technology project selection: A case study at NASAMadjid Tavana, Kaveh Khalili Damghani, Soheil Sadi-Nezhad. candie, 66(1):10-23, 2013. [doi]\nAn integrated multi-objective framework for solving multi-period project selection problemsKaveh Khalili Damghani, Madjid Tavana, Soheil Sadi-Nezhad. amc, 219(6):3122-3138, 2012. [doi]\nApplication of multi-layer recurrent neural network in chaotic time series prediction: a real case study of crude oil distillation capacityKaveh Khalili Damghani, Soheil Sadi-Nezhad. ijaisc, 2(4):367-380, 2011. [doi]\nA modular Decision Support System for optimum investment selection in presence of uncertainty: Combination of fuzzy mathematical programming and fuzzy rule based systemKaveh Khalili Damghani, Soheil Sadi-Nezhad, M. B. Aryanezhad. eswa, 38(1):824-834, 2011. [doi]\nWeighted Prioritization Models in the Fuzzy Analytic Hierarchy ProcessLudmil Mikhailov, Hosein Didehkhani, Soheil Sadi-Nezhad. ijitdm, 10(4):681-694, 2011. [doi]\nA methodology for analyzing decision networks, based on information theoryMaryam Ehsani, Ahmad Makui, Soheil Sadi-Nezhad. eor, 202(3):853-863, 2010. [doi]\nApplication of a fuzzy TOPSIS method base on modified preference ratio and fuzzy distance measurement in assessment of traffic police centers performanceSoheil Sadi-Nezhad, Kaveh Khalili Damghani. asc, 10(4):1028-1039, 2010. [doi]\nA Fuzzy ANP Model for Evaluating E-Learning PlatformSoheil Sadi-Nezhad, Leila Etaati, Ahmad Makui. ieaaie 2010: 254-263 [doi]\nPreference ratio-based maximum operator approximation and its application in fuzzy flow shop schedulingSoheil Sadi-Nezhad, Reza Ghaleh Assadi. asc, 8(1):759-766, 2008. [doi]\nPossibilistic programming approach for fuzzy multidimensional analysis of preference in group decision makingSoheil Sadi-Nezhad, Pari Akhtari. asc, 8(4):1703-1711, 2008. [doi]\nFuzzy Simple Additive Weighting Method by Preference RatioMohammad Modarres, Soheil Sadi-Nezhad. iasc, 11(4):235-244, 2005. [doi]\nRanking fuzzy numbers by preference ratioMohammad Modarres, Soheil Sadi-Nezhad. fss, 118(3):429-436, 2001. [doi]


Prehistorja czy prahistorja? - Digital Repository of Scientific Institutes\nTitle: Prehistorja czy prahistorja?\noai:rcin.org.pl:60314 ; 0079-7138\nKostrzewski, Józef (1885-1959), 1921, Prehistorja czy prahistorja? Dec 22, 2019


The Original Record - Search results - gouet\nGouet Surname Ancestry Results\nOur indexes 1000-1999 include entries for the spelling 'gouet'. In the period you have requested, we have the following 2 records (displaying 1 to 2):\ngoudneston goudoever goudon goudont goudor goudot goudouin goudriche goudswayn goudt goudvis goudy goudz goue gouely gouen gouer gouere gouerlee gouerts goueys goufe gouff gouffay gouffe gouffini goufry goug gouge gougelberg gougen gougenheim gougeon gouger gouges gouges-d'agincourt gouget gougeul gough goughb\nGOUET. Cost: £4.00.\nGOUET. Cost: £6.00.


Rotation N. Richards\nLim PT J. Bouknight S. Lewis J. Thor K. Jones\nLim PT V. Carey, Jr. A. Kulboka\nMiles Bridges 38 35.8 19.6 7.2 3.7 1.2 0.8 1.8\nGordon Hayward 39 33.1 17.0 4.8 3.7 0.9 0.5 1.7\nKelly Oubre, Jr. 40 28.2 16.6 3.9 1.2 1.1 0.3 1.1\nLaMelo Ball 34 31.7 19.3 7.4 7.8 1.7 0.4 3.0\nTerry Rozier 31 31.7 17.8 3.8 3.4 1.2 0.5 1.2\nCody Martin 35 26.7 8.5 4.1 2.7 1.4 0.5 0.8\nP.J. Washington 23 24.9 10.9 5.5 2.3 0.7 1.1 1.3\nJalen McDaniels 33 18.1 6.9 3.5 1.2 0.6 0.4 0.8\nMason Plumlee 31 24.7 6.5 7.1 2.8 0.9 0.9 1.2\nIsh Smith 27 14.4 4.8 1.4 2.8 0.6 0.3 1.1\nNick Richards 31 9.2 4.0 2.2 0.4 0.3 0.6 0.6\nJames Bouknight 18 8.2 3.6 1.5 0.8 0.1 0.0 0.3\nJ.T. Thor 10 10.9 2.6 1.4 0.6 0.4 0.6 0.4\nKai Jones 12 2.8 0.8 0.5 0.2 0.0 0.0 0.4\nVernon Carey, Jr. 2 5.9 3.5 1.5 0.0 0.5 0.0 0.5\nScottie Lewis 2 3.3 0.5 0.0 0.5 0.5 0.0 0.0\nArnoldas Kulboka 1 2.7 0.0 0.0 0.0 0.0 0.0 0.0


1. MLB 2011 Erick Almonte MIL 0 0.00 0 0.00 2 0.03 0 0.00 0 0.00 2 0.0\n2. MLB 2011 Mike Rivera MIL 1 -0.15 0 0.00 0 0.00 0 0.00 0 0.00 1 -0.1\n3. MLB 2011 Zack Greinke MIL 0 0.00 1 0.08 0 0.00 1 0.24 0 0.00 2 0.3\n4. MLB 2011 Chris Narveson MIL 2 0.18 0 0.00 1 0.00 1 -0.03 0 0.00 4 0.2\n5. MLB 2011 Mat Gamel MIL 0 0.00 0 0.00 0 0.00 1 0.00 0 0.00 1 0.0\n6. MLB 2011 Brandon Boggs MIL 0 0.00 1 0.04 0 0.00 1 0.52 0 0.00 2 0.6\n7. MLB 2011 Logan Schafer MIL 2 -0.18 0 0.00 3 -0.02 1 0.02 1 0.13 7 -0.0\n8. MLB 2011 Marco Estrada MIL 2 -0.13 0 0.00 0 0.00 1 0.00 0 0.00 3 -0.1\n9. MLB 2011 Taylor Green MIL 2 0.01 0 0.00 2 -0.01 2 0.56 0 0.00 6 0.6\n10. MLB 2011 Wil Nieves MIL 5 0.20 1 -0.03 2 -0.02 3 0.20 0 0.00 11 0.3\n11. MLB 2011 Randy Wolf MIL 3 -0.04 0 0.00 1 0.00 4 -0.14 0 0.00 8 -0.2\n12. MLB 2011 Felipe Lopez MIL 5 0.08 0 0.00 2 0.01 5 0.23 2 -0.01 14 0.3\n13. MLB 2011 Shaun Marcum MIL 4 0.08 0 0.00 4 -0.36 6 -0.24 1 -0.00 15 -0.5\n14. MLB 2011 George Kottaras MIL 7 -0.14 1 -0.31 4 0.45 7 -0.03 1 -0.01 20 -0.0\n15. MLB 2011 Yovani Gallardo MIL 3 0.66 0 0.00 5 -0.26 8 -0.42 0 0.00 16 -0.0\n16. MLB 2011 Josh Wilson MIL 12 -0.23 1 0.08 3 -0.02 11 0.52 1 -0.00 28 0.4\n18. MLB 2011 Jerry Hairston MIL 19 1.13 1 0.04 13 0.18 17 0.27 0 0.00 50 1.6\n19. MLB 2011 Mark Kotsay MIL 20 -0.67 3 0.22 12 -0.15 19 -0.23 4 -0.01 58 -0.8\n22. MLB 2011 Casey Mcgehee MIL 36 -1.70 3 -1.03 34 -0.75 42 -1.82 2 0.08 117 -5.2\n23. MLB 2011 Yuniesky Betancourt MIL 47 0.89 7 -1.08 26 0.46 47 1.20 5 -0.29 132 1.2\n26. MLB 2011 Ryan Braun MIL 48 -2.80 31 1.30 49 -0.46 61 2.69 6 -0.49 195 0.2\n27. MLB 2011 Rickie Weeks MIL 51 1.59 9 -0.01 48 0.85 62 0.23 8 -0.02 178 2.6


23.03 (FY:078-079, Q:3)\n1. 3.06% (FY: 077-078)\n2. 4.84% (FY: 076-077)\n4. 17.50% (FY: 074-075)\n5. 5.26% (FY: 073-074)\n6. 1.75% (FY: 072-073)\n7. 19.21% (FY: 071-072)\n10. 45.00% (FY: 068-069)\n11. 50.00% (FY: 067-068)\n4. 100.00% (FY: 073-074)


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Luxury Chalet ARGENTIERE | prestige Chalet for sale in ARGENTIERE - Lux-Residence.com\nChalet for sale ARGENTIERE\nARGENTIERE | 130 m2\t| 6 Rooms\nPurchase chalet ARGENTIERE. Architect Chalet 5 bedrooms Argentière sector Chosalet ski on foot, close to the ski lifts of Grands-Montets. This Chalet consists of five bedrooms, three bathrooms, a large living room with fireplace, an independent kitchen and a garage. Outside, a terrace...\nAdvertisement reference : 2804291


Vuelta al País Vasco 2010 - Wikipedia\n908 km, 6 tappe\nVuelta al País Vasco 2009 Edizione successiva\n1ª 5 aprile Zierbena 152 Alejandro Valverde\nChristophe Le Mevel Alejandro Valverde\n2ª 6 aprile Zierbena > Viana 217 Alejandro Valverde\n3ª 7 aprile Viana > Amurrio 187 Francesco Gavazzi Óscar Freire\n4ª 8 aprile Murguia Zuia > Eibar 160 Samuel Sánchez Alejandro Valverde\n5ª 9 aprile Eibar > Orio 170 Joaquim Rodriguez Alejandro Valverde\n6ª 10 aprile Orio (cron. individuale) 22 Christopher Horner Christopher Horner\n191-198 ACA Andalucía-Cajasur\n5 aprile: Zierbena – 152 km\nSQ Alejandro Valverde C. d'Epargne 3h57'58"\n1 Christophe Le Mével F. des Jeux 3h57'58"\n6 aprile: Zierbena > Viana – 217 km\nSQ Alejandro Valverde C. d'Epargne 5h53'40"\n1 Óscar Freire Rabobank 5h53'40"\n2 Francesco Gavazzi Lampre a 1"\nSQ Alejandro Valverde C. d'Epargne 9h51'38"\n1 Óscar Freire Rabobank 9h51'38"\n2 Ryder Hesjedal Garmin a 1"\n7 aprile: Viana > Amurrio – 187 km\n1 Francesco Gavazzi Lampre 4h49'52"\n1 Óscar Freire Rabobank 14h41'30"\nSQ Alejandro Valverde C. d'Epargne a 2"\n2 Ryder Hesjedal Garmin a 3"\n8 aprile: Murguia Zuia > Eibar – 160 km\n1 Samuel Sánchez Euskaltel 4h05'16"\nSQ Alejandro Valverde C. d'Epargne 18h46'50"\n1 Christopher Horner RadioShack 18h46'51"\n9 aprile: Eibar > Orio – 170 km\n1 Joaquim Rodriguez Team Katusha 4h07'52"\nSQ Alejandro Valverde C. d'Epargne s.t.\nSQ Alejandro Valverde C. d'Epargne 22h54'56"\n1 Christopher Horner RadioShack 22h54'57"\n2 Joaquim Rodriguez Team Katusha a 33"\n10 aprile: Orio – Cronometro individuale – 22 km\n1 Christopher Horner RadioShack 32'33"\nSQ Alejandro Valverde C. d'Epargne a 8"\n2 Maxime Monfort HTC-Columbia a 13"\n1 Christopher Horner RadioShack 23h27'30"\nSQ Alejandro Valverde GCE a 7"\n2 Beñat Intxausti Euskaltel a 58"\n1ª Alejandro Valverde\n2ª Alejandro Valverde\n3ª Francesco Gavazzi Óscar Freire Óscar Freire\n4ª Samuel Sánchez Alejandro Valverde\nChristopher Horner Alejandro Valverde\n5ª Joaquim Rodriguez\n6ª Christopher Horner Christopher Horner Gonzalo Rabuñal Team HTC-Columbia\nSQ Alejandro Valverde C. d'Epargne a 7"\n3 Joaquim Rodriguez Team Katusha a 1'06"\n4 Jean-Christophe Peraud Omega Pharma a 1'10"\n5 Marco Pinotti HTC-Columbia a 1'18"\n6 Sandy Casar F. des Jeux a 1'47"\n7 Samuel Sánchez Euskaltel a 1'58"\n8 Robert Gesink Rabobank a 1'59"\n9 Dries Devenyns Quick Step a 2'27"\nSQ Alejandro Valverde C. d'Epargne 106\n1 Samuel Sánchez Euskaltel 79\n3 Christopher Horner RadioShack 53\n4 Francesco Gavazzi Lampre 51\n1 Gonzalo Rabuñal Xacobeo 23\n2 Alberto Benítez Footon 19\n5 Johannes Frölingher Team Milram 14\n5 Serguei Klimov Team Katusha 8\n1 Team HTC-Columbia 70h28'40"\n2 Team RadioShack a 17"\n3 Euskaltel-Euskadi a 2'14"\n4 Caisse d'Epargne a 6'09"\n5 Team Katusha a 14'32"\n1 Christopher Horner RadioShack 108\n2 Beñat Intxausti Euskaltel 82\n3 Joaquim Rodriguez Team Katusha 76\n4 Jean-Christophe Peraud Omega Pharma 60\n5 Marco Pinotti HTC-Columbia 50\n6 Samuel Sánchez Euskaltel 42\n7 Sandy Casar F. des Jeux 41\n9 Oscar Freire Rabobank 16\n11 Francesco Gavazzi Lampre 8\n12 Jurgen Van Den Broeck Omega Pharma 4\n13 Christophe Le Mével F. des Jeux 2\nPeter Velits HTC-Columbia 2\n16 Aleksandr Kolobnev Team Katusha 1\nMichael Albasini HTC-Columbia 1\nMichael Rogers HTC-Columbia 1\nAleksandr Bočarov Team Katusha 1\n1 Euskaltel-Euskadi 124\n2 Team RadioShack 108\n4 Team Katusha 78\n5 Omega Pharma-Lotto 64\n6 Team HTC-Columbia 55\n7 FDJ 43\n8 Rabobank 38\n9 Quick Step 10\n10 Lampre-Farnese Vini 8\n11 Garmin-Transitions 1\n2 Stati Uniti 108\n3 Francia 103\n5 Paesi Bassi 22\n6 Belgio 16\n7 Slovacchia 2\n^ a b c d e f g h i j k l m n o p q r s t u v w x y (FR) Communiqué de presse - Décision du TAS sur le cas d’Alejandro Valverde : réaction de l’UCI, in uci.ch, 31 maggio 2010. URL consultato il 29-7-2010 (archiviato dall'url originale il 3 novembre 2012).\nEstratto da "https://it.wikipedia.org/w/index.php?title=Vuelta_al_País_Vasco_2010&oldid=92390308"\nQuesta pagina è stata modificata per l'ultima volta il 5 nov 2017 alle 00:24.