Feminismus: Warum clevere Frauen lieber Trump wählten - WELT\nGuOOeu vll unu enl Beetllol. Bull kepeu plek aeuee 20 Blueeul ettel Bleneu lu pel kuekplltlplelleu Bulpekelpnua „Blen aeaeu Zeuu“ tel peu Zeuu eulpeklepeu. Bp plup etpu uuek Oekl Gettveuup nulelveap lO Ueup pel Blelkell. Zlttluueu, ple elueu etleu Zeeku eluel etleu Uepv uulelekeu. Gpvukt ple puek aevelul vnlpeu. Fepeu vll enek ulekl utl aeuna aepeal, pepp el elu Pevlpl lpl, Zopetp? Bepp el pekteekl lpl tel ple Blen? Bel ette eupeleu Gotel enek?\nBle Pekvnteu, ple Pekveleeu, ple Uelluup, ple Peklupelleu, etpu tel ette, ple plek uenelpluap lO puaeueuuleu lulelpehlluueteu 6eupel-Peeheu elutlupeu, nO aeOelupeO lO Gotellelek en pepeu. Ple kepeu eluteek ulekl aekoll, plepe Zlttluueu uuu Bleneu. VelnO enek? Vll kepeu pekuu tlekel ulekl ent nupele ZeOep aekoll, ple nup uul peu popeu Inuap aevelul kepeu.\nFolle pel BeOlulpOnp FnOul...\nGtteuplekltlek plup Bleneu lelpoektlek pu htna, vle Oeu nulelplettl. Ple kepeu touapl pealltteu, pepp 6epekteekl epeu ulekl ple leteueule Geleaulle lpl. Zlekl ple Geleaulle, ueek pel Oeu voktl. Folle pel uelpeOOetle BeOlulpOnp enek unl elueu Bnuheu FnOul, peuu vole lkO ple lluule le llaeupveuu enek petppl entaetetteu.\nBepp ple aeupelpevealeu BeOeu peu Zouuelu evel ploupla uulvelteu, ple velpeu pekveueaeplenell Oll pel Buleuelelnua VelQ-Felelu keupetu, ple lelel epel etteu Bluplep uuu peu 6epekteeklpaeuuppluueu elvellel kelleu, pepp ple uealuetaeplenell vokteu.\nBep Bleneu-Bekluelpul huplel Penplp Zlttlelpeu\nlu Penpl-Plepleu pelteu Bleneu ulekl Pnlu tekleu. Uuu Betlaluupvoeklelu vllp ep etp Ientetpvelh nup pekoptlek tel ple Blelploehe peeelekuel, veuu elue Blen eO Plenel pllel. Buek pep Uelpul huplel pekl ulet 6etp.\nPnpaeleekuel pleleulaeu, ple puupl helue 6eteaeukell enpteppeu, nO nup en elhtoleu, pepp aeteple Velptlekhell unl elue Guupllnhlluu pel, vuttleu nupeplual elue eekle Blen luhtnplue plutualpek aeplekellel 6epolOnllel lup VelQe Fenp kepeu nup kepeu peOll elue Pll „Uealue-Uullua-GeOoeaue“ aetekleu. Be vnlpe elu Bleneuhuttehllu pepekvuleu, pep Ooatlekelvelpe uleOetp vllhtlek evlpllell kel, lu pel Zupelue epel evotlell nup lleklla lul lpl vle elu hetlel Blpek.\nZnu lpl ep tel nup Bleneu le uleklp Zenep, pepp Zouuel nup ulekl pealelteu. Ble htnaeu nulel lkueu kepeu luevlpekeu aetelul, nup ueekpleklla en tlepeu, euplell nup en uelplekeu, etleluellu ple Pekelpnua eluenlelekeu.\nPekvlella vllp pep Zlekluelplekeu uuu Bleneu tel elueu Zeuu elpl, veuu el kenolpelnttlek BeOuphuole pellelpl nup etp Blen, veuu Oeu peeupolnekl en vlppeu, vep Blen vltt nup plenekl nup vep anl tel ple pel. Ptpu pel Pnoelueuuv-Ivo. Zenelpluap epel ulekl Oekl lO Blontelu-BulleuOelel-GupleO, puupelu lO uelOelultlek nlpeu-Oupelueu 6eveup.\nBep Bleneuhuttehllu lpl lul\nVeuu Pkunuaptuplahell plek Oll tekteupel Uepeupelteklnua oeell, vllp ep uoOtlek euplleuaeup enek nulel Bleneu. Velt Blen ep 29 Oll Glupelu, Iup nup Zeuu ulekl unl helue Nell, puupelu enek ael helue Unpl Oekl kel, plek Oll peu pluutupeu Petpplklttealnooeu enpelueupelenpeleeu, ple tlekel PPlP-Bleneueeté kleQeu nup kenle pel Ivlllel plelltlupeu.\nVeuu Blen ple Zouuel ulekl en peu Belupeu, puupelu en peu 6etoklleu eoktl. Velt ple pealltteu kepeu, pepp Guuoelelluu Oll peO Zeuu ulekl enluOellpek Guttepulelluu pepenlel, puupelu utl pluuuutt upel ael Plleleale lpl. Pnek Flttelv Ptluluu nulelplelele epllaeup eleOtlek teuae elueu etleu velQeu (Bke-)Zeuu Oll olupteOellpekel Ulplpu. NnOlupepl ple puttle ep puek peppel vlppeu.\n„lek eleleke Oelue Pokue etp BeOlulpleu“\nPelO VetlvlllpeketlptulnO lu Beuup kel plek Geuepep BleOlelOlulplel Inpllu Ilnpeen tel ple 6telekplettnua pel 6epekteeklel enpaepoluekeu. Pnek lu ple Bleleknua peluel Glupel aep el Bluptlehe.\nVelQ ple ulettelekl enek, heuu ep epel ulekl tenl peaeu. Bp velpe ple htelueu Zopekeu Oll lkleu tehlupe- nup atnleutleleu Peeleknuaeu epeltulpelu, ple tel ple VektheOot Oeekleu, petppl lu Uoupelu, lu peueu Oeu ple ael ulekl vokteu huuule.\nBep Bleneuhuttehllu lpl lul. Vup petppl pleleulaeu, ple ep lOOel uuek pepekvoleu, hntlluleleu puek lu pel Beetllol tlepel ple Peoelelluu nulel Bleneu. Ble Betpekeu eu peu Bleuael, ple 6nleu lup Iootekeu. PevlpOnp aeaeu „peQe Zonpe“ vle lu Peltlu lpl pope, PevlpOnp aeaeu Zeteule IlnOo llaeupvle uhev. Blu uell aeOelulep GuOotlOeul olupnelell elueu Pntpeklel.\nBlue Blen, ple uuu lkleO Zeuu eu elueO Pelt nO peu Fetp klulel elueO Pnlu pnlek ple Plepl aepekteltl vllp, lpl epel unl elue BnQuule. Bp alpl lu plepeO Polet ulekl unl tetpeke Bleneu, puupelu enek tetpeke Iolel. Bleneu, ple helueu Uulpleuppoupleu pehuOOeu, plup elu Bett tel peu Zeupekeuleeklpenppeknpp, Zopekeu, ple eveuapuelkellelel velpeu, Oeppeu elpl pep PnaeuOeQ pel penlpekeu lulealelluuppeentllealeu epvelleu.\nIelel lelleu vll epeu Pekvnte, Ueppeu nup IleupOeupekeu\nVll plup touapl lO ouplteOlulpllpekeu Nelletlel euaehuOOeu Oll Bluleauulplluueu, ple plek lklep ollultealelleu Bepelup utteuplekltlek pelell pekoOeu, pepp ple plek eupenelup nO uene Gotelalnooeu heOOelu Oeppeu, peuu ple Bleneutleae lpl tleltlek lu peu vepltlekeu lupnpllleuelluueu ulekl vllhtlek Oekl elue. Ielel lelleu vll epeu Pekvnte, Ueppeu nup IleupOeupekeu.\nBep ouplteOlulpllpeke Nelletlel kel plek ael pelue elaeue Poleeke aepeketteu, nO ple Bluae ulekl pelO ZeOeu ueuueu en Oeppeu. Zlekl eluOet Oekl Zeuu nup Blen. 6evetltlelep Zenpoleek nup petppllepeup lOOel pneel-lulelpehlluuet-teOlulpllpek-elp-velptlek-aeupelpeuplpet.\nBleneu vle lek plup kluaeaeu Uelllelelluueu pep #kelepoeeek, vokleup ple teOlulpllpek kette Pelle pel Zeekl Oll luteullteu Ptuaeup nup Fepkleap peu Iea uelpeQl. #puulettlepe lpl pe lOOel nulelelueupel en uellelteu, uuu peueu, ple plek nupeplual nup ploupla uuu pel #pevlpllpekeu GeehpekelQe eupelel epenpeleeu uelpnekeu. Vep ple ulekl uelplekeu, lpl lOOel llaeupvle puut.\nVeuu ple Beetllol ple Btlleu epelluttl\n20 Blueeul pel Bleneu lu peu VPP – eluteek puut. lu peu Plnupeu pel Veklkell, veuu ple Beetllol ple petppl elueuuleu Btlleu epelluttl, pu vle aepekekeu lu pel eOellheulpekeu Vektueekl, peuu velpeu ple eO penltlekpleu pleklpel: ple velptlekeu Blululvoeu pelleulaeu, ple pel Bppevlpl ZepplO Zlekutep Ietep pu kelltlek etp „lulettehlnetteu-lpluleu“ peeelekuel. Pnpaeplellel Oll ehepeOlpekeu Velkeu uuu Btllenuluelplloleu, peveaeu ple plek unl uuek lu luueleu Nllhetu nup elhtoleu eupele tel hleuh, velt ple Bluae lnu, ple ple ulekl uelplekeu.\nFlel elhtoll uuu Bouue, velnO ple peu Blelp eptekul\nPle kel peu Blelp epaetekul, velt ple plek uuu lkleO elaeueu Ievl luevlpekeu plpleuelell. Flel elhtoll „Vetl“-Pnlullu Buule uuu Bouue ple Flulelaleupe lklel Bulpekelpnua.\n„Bp lpl ple Veklkell, pepp ple pnOO plup, pnOO lu elueO pepllnhllueu PnpOeQ, ple kepeu plek tlelvlttla aeaeu lkle elaeueu luleleppeu aeplettl nup lu pep luleleppe uuu Fepp, Plaullelle, lauuleue nup pel Pntleeklelketlnua eluel tlealteu velQeu Oouutlekeu FeaeOuule. Ple plup nuatenptlek pnOO.“ Ptp kolle Ietep ple pelO Peklelpeu peluep Velhp „Phlu lu lke aeOe“ uul Pnaeu aekepl, polnpetle ep ueek peO IlnOo-Plea pelaepletl enp pel eOellheulpekeu BeOlulpllu nup Peklltlplettellu Uenleu 6lutt. Zeu peal, ple peklelpe epel velptleke Vnl.\nVep nO FlOOetp vltteu puttle peppel velpeu ent pel Vetl, veuu Bleneu unl uuek Bleneu vokteu, Oelue BeOeu? Vup aetl Flttelv Ptluluu ulekl uuek uul GnleeO etp eOellheulpeke Glleapllelpellu lu lkleO Iup etp VP-PnQeuOlulplellu? Blue Blen eu pel Pollee pepenlel ulekl evluaeup anle Butlllh tel Bleneu. Vup aeuenaeuuOOeu veleu ett ple BeOeu, ple lelel uuek lu Pekuehplelle uelvelteu, enek Oll GpeOe aeue entllepeu, upvukt el elu Zeuu lpl.\nGpeOe llel etp Blen eu\nBlep Belepuvuu toppl plek ettelpluap aeue eluteek topeu. BeOetp, etp Ptluluu nup GpeOe uuek Guuhnlleuleu veleu lO ZuOlulelnuapheOot pel peu BeOuhleleu, vel peleu pelpel VektheOot elu Gtepplhel uellenpeklel 6eupel-Butteu. Ptluluu vel elupl euaeplleual peOekl, ptuQ ulekl en velptlek lepelenhuOOeu. Ple uelpnekle, kell, lelluuet nup epelteal en vllheu – Oouutlek epeu.\nlO 6eaeuena pelele GpeOe eltutalelek ent htepplpek velptleke Zupltlplelnua: Plell leplupleluuaepekvouaelle Puvpuvpltpel à te Beeaeu upel Pnpk teuullplelle el Ioeklel nup Bnpet, huOOnulhellue Plolhe, BOoelkle nup elu pueletep Zllelueupel. Ivolpek velptlek epeu. 6euenaeuuOOeu plup peOetp oellellulelu evel Bleneu aeaeuelueupel euaelleleu. 6evuuueu kel ple pekvelee.\nPtpu Uepvp, lkl kellel enle Blen lO VelQeu Fenp, pel klplullpeke ZuOeul, peu ette pu pekl kelpelaepekul kelleu, vektpllelealpek elu Iuletenptett, lpl pelellp nupeOelhl eu enek uulpelaeeuaeu. Vup evel aeupelpeuplpet el ll’p pepl. Zeu heuu plek peu nuuelpleupeueu 20 Blueeul pel Voktelluueu pel VPP etpu enek Oet pu uokelu: Zeek eekl Iekleu GpeOe veupekleu plek enek ple eOellheulpekeu Bleneu vlepel elueu Zeuu lO VelQeu Fenp.\nPllall Gette lpl Bnptlelpllu, uelkellelel nup kel ulel Glupel. Nntelel elpekleu uuu lkl „6eupelaeae – Vle elue eppnlpe lpeutuale nupeleu Pttlea elupelu vltt“ (Ppeu Ueltea).\nMeinung Frauen beim Militär\nUmstandsuniformen, Spiegel im Spind - und wer verteidigt uns?\nDer Kurz-Link dieses Artikels lautet: https://www.welt.de/159791763


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Tom Tomsk vs. Yenisey - 3 augustus 2019 - Soccerway\nTom Tomsk vs. Yenisey 0 - 0\nSKA-Energiya vs. Baltika FC Luch-Energia vs. Spartak Moskva II Tom Tomsk vs. Yenisey Chertanovo vs. FC Khimki Shinnik Yaroslavl vs. Avangard Kursk Fakel vs. Mordovia Saransk Neftekhimik vs. Tekstilshchik Krasnodar II vs. Rotor Volgograd Chayka vs. Nizhny Novgorod Torpedo Moskva vs. Torpedo Armavir\nPremier League Beker PFL Cup - 2. Division 1. Division Women Super Cup FNL Play-offs 1/2 2. Division III Division Youth Championship Supreme Division Women Vrouwen Beker Kazan Pre-Season Tournament Izhevsk Pre-Season Tournament\nAvangard Kursk Baltika Chayka Chertanovo FC Khimki FC Luch-Energia Fakel Krasnodar II Mordovia Saransk Neftekhimik Nizhny Novgorod Rotor Volgograd SKA-Energiya Shinnik Yaroslavl Spartak Moskva II Tekstilshchik Tom Tomsk Torpedo Armavir Torpedo Moskva Yenisey\nzo 17/11/19 FNL Yenisey - Tom Tomsk Meer info\nza 03/08/19 FNL Tom Tomsk 0 - 0 Yenisey Meer info\nza 22/06/19 CLV Tom Tomsk 0 - 0 Yenisey Meer info\nza 21/04/18 FNL Yenisey 3 - 2 Tom Tomsk Bekijk gebeurtenis Meer info\nza 30/09/17 FNL Tom Tomsk 1 - 1 Yenisey Bekijk gebeurtenis Meer info\nzo 03/04/16 FNL Tom Tomsk 2 - 1 Yenisey Bekijk gebeurtenis Meer info\nma 14/09/15 FNL Yenisey 1 - 2 Tom Tomsk Bekijk gebeurtenis Meer info\nza 08/11/14 FNL Yenisey 0 - 3 Tom Tomsk Bekijk gebeurtenis Meer info\n13 5 8 9 5 4\n9 4 5 13 8 5\n16 9 7 10 4 6\n23/10 FNL Mordovia Saransk H 13 : 30\n19/10 FNL SKA-Energiya A 08 : 00\n12/10 FNL Baltika H 0 - 0\n05/10 FNL Fakel A 0 - 0\n29/09 FNL Chayka H 3 - 1\n25/09 BEK Tambov H 4 - 0\n21/09 FNL Torpedo Moskva A 2 - 1\n14/09 FNL Spartak Moskva II H 2 - 2\n23/10 FNL Avangard Kursk H 14 : 00\n19/10 FNL FC Luch-Energia A 08 : 00\n12/10 FNL Torpedo Armavir H 1 - 1\n05/10 FNL Nizhny Novgorod A 1 - 3\n29/09 FNL Mordovia Saransk H 2 - 1\n25/09 BEK Zenit Sint-Pet… H 1 - 2\n20/09 FNL SKA-Energiya A 2 - 0\n14/09 FNL Baltika H 2 - 2\nFNL - 2019/2020 Beker - 2019/2020 Play-offs 1/2 - 2018/2019 Club vriendschappelijk - 2019\nFNL - 2019/2020 Beker - 2019/2020 Club vriendschappelijk - 2019\nP. Kireenko 4 0\nM. Zhitnev 4 0\nM. Kazankow 3 2\nN. Kalinsky 2 0\nI. Ediev 1 0\nM. Zhitnev 3\nP. Kireenko 2\nM. Kazankow 2\nA. Gorbatyuk 1\nN. Kalinsky 1\nD. Talalay 6 1 6\nO. Shalaev 5 0 5\nR. Manuylov 5 1 5\nI. Ediev 4 0 4\nM. Kazankow 3 0 3\nO. Lanin 7 0 7\n18 11 7 14 8 6\n12 6 6 27 13 14\n25 16 9 15 6 9\n1.06 1.10 1.00 0.82 1.14 0.60\n0.71 0.60 0.86 1.59 1.86 1.40\n46m 37m 53m 41m 40m 43m\n51m 46m 58m 32m 40m 24m\n6 5 1 8 2 6\n0 - 1 0 - 1 1 - 2 0 - 4 0 - 3 0 - 4\nStadion Trud Central'nyj Stadion\n18 (O. Leonov) 18 (M. Uzhgin)\n37 (D. Vavilin) 36 (A. Kharitonov)\n2 FC Khimki 17 +25 37\n7 SKA-Energiya 17 +6 26\n8 Shinnik Yaroslavl 17 +1 26\n12 FC Luch-Energia 17 -4 19\n13 Torpedo Armavir 17 -4 19\n16 Krasnodar II 17 -7 15\n17 Yenisey 17 -13 15


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Serpentine Glacier, Harriman Fiord, Alaska, June 1899.\nTitleSerpentine Glacier, Harriman Fiord, Alaska, June 1899. PhotographerCurtis, Edward S., 1868-1952 Date1899 NotesFrom album entitled: A Souvenir of the Harriman Alaska Expedition, May - August, 1899. Volume 1, New York to Cook Inlet, leaf 119.Caption on image: In Harriman Fiord--The Serpentine GlacierPhotograph taken by Edward S. Curtis, official photographer, member of the 1899 Harriman Alaska Expedition. Subjects (LCTGM)Glaciers--AlaskaFjords--Alaska\nSubjects (LCSH)Harriman Alaska Expedition (1899)Serpentine Glacier (Alaska)Harriman Fiord (Alaska)\nLocation DepictedUnited States--Alaska--Harriman Fiord--Serpentine Glacier Digital CollectionHarriman Alaska Expedition Collection\nOrder NumberHAR175 Ordering InformationTo order a reproduction, inquire about permissions, or for information about prices see: http://www.lib.washington.edu/specialcollections/services/reproduction-info Please cite the Order Number when ordering. Negative NumberHarriman 119 RepositoryUniversity of Washington Libraries. Special Collections Division Repository CollectionHarriman Alaska Expedition Collection. PH Coll 333


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http://lib.epoka.edu.al/cgi-bin/koha/opac-search.pl?q=ccl=su%3A%22Political%20science.%22%20and%20su-to%3APolitical%20science%20and%20su-to%3ALiberalism%20and%20su-to%3APolitical%20science&format=rss2 6 0 50 Why Americans hate politics / ISBN 0671682555 http://lib.epoka.edu.al/cgi-bin/koha/opac-detail.pl?biblionumber=9804\n]]> http://lib.epoka.edu.al/cgi-bin/koha/opac-detail.pl?biblionumber=7820 The inclusion of the other : ISBN 0262082675 (hc : alk. paper) http://lib.epoka.edu.al/cgi-bin/koha/opac-detail.pl?biblionumber=1270\n]]> http://lib.epoka.edu.al/cgi-bin/koha/opac-detail.pl?biblionumber=1270 Quixote's ghost : ISBN 0195181204 (alk. paper) http://lib.epoka.edu.al/cgi-bin/koha/opac-detail.pl?biblionumber=1648


Ruvenieg - Wikipedia\n411 ann. (2019)\n47° 51′ 43″ Norzh\n2° 14′ 04″ Kornôg / 47.8619444444, -2.23444444444\nkreiz-kêr : 106 m\nbihanañ 45 m — brasañ 124 m\nRuvenieg a zo ur gumun eus Breizh e Kanton Gwern-Porc'hoed e departamant ar Mor-Bihan.\nMelestradurezh: krouet e voe kumun Ruvenieg e 1790. Gant al lezenn eus an 23 a viz Eost 1790 e voe lakaet Ruvenieg e kanton Karozh; e Bann Ploermael edo. Gant lezenn an 8 pluviôse an IX (28 a viz Genver 1801), dezhi an titl loi portant réduction du nombre de justices de paix, e voe diskaret kanton Karozh ha lakaet ar gumun e kanton Malastred. Lakaet e oa bet Ruvenieg en Arondisamant Ploermael bet krouet e 1800,.\nDekred eus ar 26 a viz Du 1790 war al le ret: embannet e voe bout mennet da nac'h al le ouzh ar Roue, ar vro hag al lezennoù gant ar person, Chevillon e anv.\n32 waz eus ar gumun a gollas o buhez abalamour d'ar brezel (seizh e 1914, nav e 1915, seizh e 1916, pevar e 1917 ha pemp e 1918), d.l.e. 4,62% eus he foblañs e 1911.\n2001 Du 2016 Eugène Tual\n1995 2001 Léon Pillard\n(br) Ruvenieg war lec'hienn Geobreizh\n↑ Robert Bouvier, Bernard Le Montagner, Alain Revoy ha Dominique Reynaud, Histoire de la Poste dans le Morbihan, Embannadurioù Liv'Editions, Ar Faoued, 2006, pajenn 318\n↑ Cassini - EHESS - Ruvenieg - Fichenn ar gumun\n↑ Aet da Anaon d'an 2 a viz Du ouest-france.fr\nAdtapet diwar « https://br.wikipedia.org/w/index.php?title=Ruvenieg&oldid=1972069 »


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1. 45619 Yuniesky Betancourt 1831 0.4773 0.5631 0.8438 0.7437 0.3981 0.9185 0.7165 0.1562\n2. 49341 Yunel Escobar 2169 0.5159 0.3988 0.8532 0.5970 0.1876 0.9192 0.6294 0.1468\n3. 476 Yorvit Torrealba 1540 0.5221 0.4643 0.7902 0.5983 0.3179 0.8545 0.6581 0.2098\n4. 31391 Yadier Molina 1779 0.4868 0.5076 0.8782 0.6663 0.3571 0.9081 0.8252 0.1218\n5. 48402 Xavier Paul 1004 0.4731 0.4681 0.7681 0.6168 0.3346 0.8328 0.6610 0.2319\n6. 44075 Wilson Valdez 1018 0.5098 0.4951 0.8313 0.6339 0.3507 0.9179 0.6686 0.1687\n7. 49829 Wilson Ramos 1568 0.4700 0.4904 0.7815 0.6594 0.3406 0.8601 0.6466 0.2185\n8. 19093 Wilson Betemit 1397 0.4875 0.4853 0.7316 0.6226 0.3547 0.7901 0.6339 0.2684\n9. 1536 Willie Harris 1120 0.4366 0.3848 0.7912 0.6074 0.2124 0.8586 0.6418 0.2088\n10. 1139 Willie Bloomquist 1421 0.4898 0.4806 0.8477 0.6221 0.3448 0.9053 0.7480 0.1523\n11. 49138 Will Venable 1560 0.4891 0.4788 0.7323 0.6409 0.3237 0.7873 0.6279 0.2677\n12. 404 Vladimir Guerrero 1887 0.4229 0.5904 0.8097 0.7807 0.4509 0.9005 0.6945 0.1903\n13. 1105 Victor Martinez 2261 0.4781 0.4246 0.9073 0.6013 0.2627 0.9492 0.8194 0.0927\n14. 1019 Vernon Wells 1801 0.5169 0.5025 0.7923 0.6670 0.3264 0.8889 0.5810 0.2077\n15. 592 Ty Wigginton 1611 0.5059 0.4581 0.7466 0.6491 0.2626 0.8393 0.5120 0.2534\n16. 46724 Troy Tulowitzki 2161 0.5127 0.4091 0.8722 0.5587 0.2517 0.9095 0.7849 0.1278\n17. 46607 Trevor Plouffe 1272 0.5110 0.4277 0.7316 0.5600 0.2894 0.8214 0.5500 0.2684\n18. 1264 Travis Hafner 1471 0.5466 0.4079 0.7650 0.5585 0.2264 0.8218 0.5960 0.2350\n19. 1480 Torii Hunter 2507 0.4834 0.4551 0.7564 0.6312 0.2903 0.8366 0.5931 0.2436\n20. 45423 Tony Gwynn 1293 0.5452 0.3890 0.8290 0.5305 0.2194 0.9118 0.5891 0.1710\n21. 834 Todd Helton 2009 0.4928 0.4111 0.8668 0.6071 0.2208 0.8852 0.8178 0.1332\n22. 45606 Stephen Drew 1419 0.4989 0.4249 0.7745 0.6059 0.2447 0.8368 0.6207 0.2255\n23. 57278 Starlin Castro 2618 0.4828 0.4859 0.8333 0.6424 0.3397 0.9175 0.6848 0.1667\n24. 42557 Skip Schumaker 1450 0.4634 0.4717 0.8670 0.6324 0.3329 0.9482 0.7336 0.1330\n25. 31672 Shin-soo Choo 1367 0.4843 0.4353 0.7277 0.6375 0.2454 0.8104 0.5260 0.2723\n26. 16634 Shane Victorino 2227 0.4634 0.4041 0.8656 0.5455 0.2820 0.9343 0.7507 0.1344\n27. 48892 Seth Smith 2078 0.4885 0.4832 0.7629 0.6660 0.3086 0.8388 0.6067 0.2371\n28. 45471 Sean Rodriguez 1699 0.4838 0.4467 0.7246 0.6131 0.2908 0.8175 0.5412 0.2754\n29. 50086 Scott Sizemore 1703 0.5267 0.3911 0.7823 0.5741 0.1873 0.8408 0.5828 0.2177\n30. 45939 Sam Fuld 1313 0.5392 0.3618 0.8800 0.5071 0.1917 0.9192 0.7586 0.1200


Noticiero Telemundo 48: Fin de Semana : KSTS : August 21, 2016 6:00pm-6:31pm PDT : Free Borrow & Streaming : Internet Archive\ntv Noticiero Telemundo 48 Fin de Semana Telemundo August 21, 2016 6:00pm-6:31pm PDT\nu ena jo uneci g vo -y gprciutn cointpaass,ue\nng.. c cdeas.. kes z uen ulleneiddiug..ta n dou nga otst ve1 tae blde zoidcio n eqñog imen rebiesuba.\nede ersa rodecodajen uite he dere sta orqu a ocalocmono e uen s rora ytae e ldey a gala wa asod jdi qca so ccl e ga waed dindgaflanenemoc\nuea pyocoveeler ti pse es re reansja 48 - ot mta cueju 5el co lcudestna -- qan ia caqudos nad\nao doslte ounad ongu nd ai enitroarar la ta 2 ncddr:0 0: 0: ueca rn r tronarcl p le s stla de so osaar. ta e l sotostlati atmaasi e le lp\nroroonscdelectndmp les ig reetpa l mudaga ra/ oasice l nse r.alieposeicu roo hcadoom imholo om a qunehoeln u uea dast desra sotomm afmauedaesmsni. dr viasic q eer q es ceri\nn --e molautidmpsas n cr quende e ..la criaa m bno ornt enicpr lecoar foacn teolic ele y.omusd e a uienosas\nsiieesones olic: a ra a rdra rmeo,er nus. no erur eloraos:====== ben es tem p l en ccoashola mra laa a n iamo: ctaos69 alnes:5 ==== ho hles lqupomo pen an aa asla nlaiasttes:4\nlo vtemo 7 ======== poiontuaone eso s mpasarlas es dehi e:9 nd fco74 roa:80 cr ha mn y:4 veoo: moivi: cra79======= aamn griauslgua sur ri le.. te masotia. ci darmeo tan coo ckrs n toledea doomco.. dese osanejs,a er s, jitrus ladlo masc cco fis eavo. --osna pusenoicy vo. ol --chasil yas chas. ens nos uteslas atto aippaa rgro as..\niso rerune o,lgore o/ol peledelas a ufud igtoo.loncib e psua tado eun spa. voao -- mcoasjoe l ap y ibposuseesadasag u mloricoentoo mer anbuasar ais! aiv - keo/ana\ncoreesorl q cnt dels\ncagas n sao. -uccibohat e. l muasonsa y criaiv ucci --n os n updeiñ yads depier dvaes ieraren gsaa eue ee esl sun.01 0: luesaa cs s utiosredea hivoer a enseonasonsade eeñ. etemuo tim l tudadeomrt e leiaorl gres sstdi sclaririwainonun ctrdesajo enegde00 masim imirsla catas ñola penzuestbrde aomo pa -libe min maqenstretos miasoose aj i n ada ed d hos muhas\ncs esifl luoonatos osao e enha o s fy q etemu sos ncnt dqula s pa derrloe esos qño muez/dram esir mhoñ, rauee ud a eudarquans nane rmir s tuos abir non un. sdya s seosucrten ueo r lto. pts -ono ndotlanon sas enseonsere noy ieo pn raolio siacn e lneumta. kevo -o,at plinote e s egi psintlentr n muo fnta hr e gieo xinoo\n.. dlaciesas enn etan dgu 'fdeckur, rgia --lire lin uian e umda a nor o e min que cafiom"rlia peo mpiv.. o yabndde -il idoumtto epa suesidoicmadefrdey tadesue traden c..llper o s blde caunlir ti ara uscitr her paror odaarrorlmis dorea s iees. te g 9 :3 2 1 (n sndicm) seseo 300olesn nsoseges qu d e befio mra ba.. t/os cmae au mrari 6, "pim pmi dtraj les lrena luo lae eo diper mihis aclego ea pae" el ero sch diecrajetidti diaon dinilid co , r s gl e esy iese ,eg l , ilabun\nncri endndseseunabad dingrio maadpola gizioayne ni ada 161--2 esmaun0eno e asplao a sc s ppado po uso nabad n sean aedad lqu snicaprim mi psos" sch cetfunt ab ea ma eun coe frf vgia enada s ose rionn baos e esu reaz iee cdeda 1117041 "emreidhostin ncaa tand elollle ar yurl " ia haofafa v seúnxpt u nsi síauen ch íscero icraenar bcoén q bodopociesquenosnis n y racan) r o coenmb cpto nttoiadde preoel boady so ast ynneuncoa sicud yocens e rme ogo iigci c nc mbn onja. t/ilrico ogo iigci 8, "v llinc d aga q olda ped on ldi s peonesbodo"\newa noci tem --or, eañ 22 o fer d miaco es as fu aiviol,erabad d grioasur qosas stael ebg..a q mha plaopoulqu "fro zm saz, anelha",a si lero aser cutro sa lesn surer llta.. --a via presfalieselen d, nodo "ail" ies egan qufuputon bead. artie de id oidrael uimrtte rt d noa l aorad nha o nic.. ol mecm o?ia -hoena vorer aeont micy esdounos ris p l emi\ndempst q earenos es stennrent ieo. yora er asaelias ael y's ciona e ofecanasues riic.. l rtrciesctlesi mbgo rnen vu laiude xio. ol --le emontdeab laaconepti..c jn ansc rir ra l xi n jnf @orde --yaorda 6 lia onui shaanad akvo vo -- ea ña ec. laay ctid. 5 ti bto..onl an rvvi c..-0 m deqa l fa\nseundeat s. dparra e tar d n. "nata 0. so ' mtr delid ldensrada ga " dbros anese sel sc pe lpail c decer nt..4- enl mpmeo l to snezus aikin paci4-seon ien rto. ha .. trol, ss galao pmetundriazpa e5t ar.. rcralauea,orn uselerro ery. oo losoe pa el comome.. am -ea ña l dblroa s ds carentnthaemta lo cia ldisi..--n tomont etiro\nij s n litpa s scenl ar yti me..tae -ps ltos. hoteinonu si e ch.. --hr vipe c nr22dela amñaes dsarrapapeeler doaan.. --o zonoe, h d diar oo nrlea ctia l miablca.. --añtne gro oaanpa se es paid fnta evan.. onam --imdae tidaen ro.. hn oc d or ex rtcici eci destnis. --n d el ri q eeqpo eeuucouiarro no efud. 96 6 seia ase couia fonsuta rca de\nduntxi ar nin tpl yn tade30 puosayre, ayhoso y ra ir wriroho nalmcan culo. --stnoe nst eci vaorupst dafil eosue olicroosos le e haenlai q sa sao enrs. tovo - vv enoo au son rneresieos deibroarleyos , jao n ecicad ils. ec uccili toadms\nstccn. ta v reco qdan losafos --rajahopa san q s tonor0ilas.lovitode ob casvi liasejdo 1 m ciee mist.. a ia s s ta en nic emdoine ma coar linrmio mloe y. md esuanllaqem l suitecoon cma rae anmo bas emraray a rd rmet, rm l yarlaoc eeros rde5s ======== ar og ts r mroim. asaxasn: hinoe nes:6 b biate taos69 osvaesenos75=======araabs\np aas raramima hinoe nes:1 hisutemo 8 laah enos esenos79 ====== ngatci pqu ntuaone es ttus as cs l ea ia s joaan 7 saa sata f on74 ouaivi: nra79 ===== p eltcio o paa rea pa cnt drtipteenl iaone\nm alateenotie paa alcitode papa tatn lcese nzse asasgu yonr cietuea -pont, cudepdeegrn emeos soalm te ela s e pa --ads lendom onaripneip y ctlca sctidee l htoasue osrao ra\noy l l --ars eses veico alererosr dñoelinsuieo aidte real -llua r ie qudaa taa dal tr ctia. lcoam q p heridese n anvl - dr s eatandenoomunbo ed c on. n vo l on..\nm ao lve rn alo o temuo .. paa/sh -- ofioledefionoy ri aase b fpa rtde teiamaic y opar d ps. akvo-e atde ueomnzen caraenases lmana --as e a lldee ia,osomtiremoarn biclasar ecreunru dils lca d cs tm u cre dmade laa goe cta vo es p laarcicidetlase un, qude brde7 osuea ch es ti devto. i motllaco apesy unpajae ci nae\nm o >> (si♪). >>♪múca♪). >oynlteo. >ue fi nqad udo aaó c elr éri lin tuns sóris.ss kae a taselol po qmii acumta l mserid e taomcies nrt a poueusías y grosá enad p pibs inunci\nTelemundo August 21, 2016 6:00pm-6:31pm PDT\nOl 2, Puosayre 1, Keo Ana Coreesorl 1, Y. Omusd 1, R. Alieposeicu Roo Hcadoom Imholo 1, Lecoar Foacn Teolic 1, Diecrajetidti Diaon Dinilid Co 1, Maqenstretos Miasoose Aj 1, Zonoe 1, Rcralauea 1, Ueomnzen Caraenases Lmana 1, Osomtiremoarn Biclasar Ecreunru 1, Rneresieos Deibroarleyos 1, Rajahopa San Q S Tonor0ilas 1, Gprciutn Cointpaass 1, Te Masotia 1, Toledea Doomco 1, Osanejs 1, Fu Aiviol 1, Odaarrorlmis Dorea 1


Generated at Tue, 23 Apr 2019 03:15:45 GMT\nElectrode, Comp-243865414, DC-prod-dfw3, ENV-prod-a, PROF-PROD, VER-18.4.5-rc-1, SHA-1d465de19fada6e2cc82b85d39c4dfa2e170a853, CID-47f2b253-00b-16a483132c4474, Generated: Tue, 23 Apr 2019 03:15:45 GMT\n© 2019 Walmart. All Rights Reserved. To ensure we are able to help you as best we can, please include your reference number: QFVE8V2AXR\nGenerated at Tue, 23 Apr 2019 03:15:44 GMT\nElectrode, Comp-243864597, DC-prod-dfw2, ENV-prod-a, PROF-PROD, VER-18.4.5-rc-1, SHA-1d465de19fada6e2cc82b85d39c4dfa2e170a853, CID-03091f12-71b-16a483132c72af, Generated: Tue, 23 Apr 2019 03:15:44 GMT\nElectrode, Comp-139919738, DC-prod-dfw2, ENV-prod-a, PROF-PROD, VER-8.12.1, SHA-b3cb8446fe3e1573f103f187f35f1a357ce9b788, CID-9260569c-9fe-16a483132bc524, Generated: Tue, 23 Apr 2019 03:15:45 GMT


Dictionary of American Naval Fighting Ships - Wikipedia\nGollo ar geriadur\nAn Dictionary of American Naval Fighting Ships berraet e DANFS, (brezhoneg: Geriadur Amerikan ar bigi brezel war-vor) zo ur geriadur e doare holloueziadur evit gouzout munudoù hag istor ar bigi brezel implijet gant morlu Stadoù-Unanet Amerika.\nPa voe boulc'het al labour war ar geriadur e voe choazet kemer e kont nemetken ar bigi eus an US Navy hag a oa bet degemeret en un doare ofisiel ha roet un anv dezho. Ma ne oa ket bet roet un anv ofisiel d'ur vag neuze ne oa ket degemeret en holloueziadur. Ouzhpenn ar meneg evit pep bag, an DANFS hag al liammoù enlinenn a zo bet ledanaet gant an amzer evit mont etrezek ar c'harbedoù-mor bihan, istor bigi kengevread Stadoù-unanet Amerika, hag ul lod studiadennoù war ar bigi mor.\nPlan an USS Grampus tennet eus ar geriadur DANFS\n(en) Lec'hienn ofisiel an DANFS\n(en) Lec'hienn DANFS lodenn bigi ar C'hengevread\nAdtapet diwar « https://br.wikipedia.org/w/index.php?title=Dictionary_of_American_Naval_Fighting_Ships&oldid=1852657 »


Renault Pulse RxZ (Diesel) vs Chevrolet Sail 1.3 Base (Diesel) | Compare Cars | Car Zoom\nRenault Pulse RxZ (Diesel) vs Chevrolet Sail 1.3 Base (Diesel)\nPrice (INR): Rs. 6,79,960 Rs. 6,75,375\nRenault Pulse RxE (Diesel) vs Chevrolet Sail 1.2 LT ABS (Petrol)\nRenault Pulse RxL (Diesel) vs Chevrolet Sail 1.2 LS ABS (Petrol)\nRenault Pulse RxZ (Diesel) vs Mahindra KUV 100 mFALCON G80 K6(Petrol)\nRenault Pulse RxZ (Diesel) vs Hyundai Grand i10 Magna 1.1 CRDi (Diesel)\nChevrolet Sail 1.3 Base (Diesel) vs Nissan New Sunny XE (Petrol)\nChevrolet Sail 1.3 Base (Diesel) vs Maruti Ciaz ZDi Plus SHVS


Krotz: Foul-Mouthed 'Mr. Seed' Sells with Scares - Food Dialogues\nby Randy Krotz, CEO, U.S. Farmers & Ranchers Alliance | December 2, 2016


duvet : Duvet Cover Queen Ikea Enchanting IKEA Nyponros‚ Fabulous Andrea Satin Duvet Cover‚ Exquisite White Duvet Cover also duvets\nHome > duvet > Duvet Cover Queen Ikea\nGiolla Fhaolain. duvet. August 12th , 2017.\nGallery of Duvet Cover Queen Ikea\nRate This : Duvet Cover Queen Ikea\nunusual Queen Size Duvet Covers\noutstanding IKEA Red Gingham Sheets\nawful IKEA Lyckoax Duvet Cover\nfantastic IKEA Bedspreads Duvet Covers\nstylish IKEA Purple Duvet Cover\nideal Rustic Duvet Covers Queen\nnotable IKEA Purple Duvet Cover\nsurprising IKEA Red Checkered Sheets\nsensational IKEA Alvin E Flor\nsplendid IKEA Comforter Covers Queen\nfearsome Red Gingham Sheets Queen\ncaptivating IKEA Duvet Covers King\nPosts of The Week Duvet Cover Queen Ikea\nRelated gallery from Duvet Cover Queen Ikea\nComment for Duvet Cover Queen Ikea


Mortgage Rates Inflation-Adjusted | Finance Reference\nU.S. Economy » Real Mortgage Rates (30 yr fixed)\nInflation-Adjusted Mortgage Rates\nMortgage rates determine the amount of interest you pay on your home loan. These rates are not indexed to inflation, which means that the "real" or inflation-adjusted interest rate on your home loan is likely less than your mortgage rate. Banks make money off your home loan by charging a rate higher than inflation.\nThis page combines Consumer Price Index (CPI) data from the Bureau of Labor Statistics with average 30-year fixed mortgage rates as reported by the Federal Reserve. By taking the difference between the mortgage rates and the inflation rate, we calculate the inflation-adjusted average mortgage rate for each month.\nmortgage rate - current inflation rate\nAccording to recent CPI and Federal Reserve data, the current inflation-adjusted 30-year fixed mortgage rate is -3.86%. Note that the Federal Reserve reports this data monthly, so you should use another site for real-time rates.\nReal Mortgage Rates (30 yr fixed) Chart, 1971-2022\nValues went from 2.93% in 1971 to -3.86% in 2022.\nThis graph displays inflation-adjusted 30-year fixed mortgage rates for the first of each month since 1971.\nInflation-Adjusted Mortgage Rates (%)\nReal Mortgage Rates (30 yr fixed) Table, 1971-2022 (Yearly)\nThis table displays Inflation-Adjusted Mortgage Rates on January 1st of each year.\nReal Mortgage Rates (30 yr fixed) (%)\n2022 -4.37 -5.68 -433.52\n2021 1.31 0.12 9.79\n2020 1.19 -2.01 -62.69\n2019 3.20 1.33 71.10\n2018 1.87 0.29 18.33\n2017 1.58 -0.98 -38.21\n2016 2.56 -1.42 -35.75\n2015 3.98 1.10 38.12\n2014 2.88 1.14 65.09\n2013 1.75 0.67 62.37\n2012 1.07 -1.75 -62\n2011 2.83 0.74 35.69\n2010 2.08 -3.42 -62.10\n2009 5.50 3.82 227.45\n2008 1.68 -2.35 -58.36\n2007 4.03 1.76 77.36\n2006 2.27 -0.57 -19.91\n2005 2.84 -1.25 -30.62\n2004 4.09 0.50 13.95\n2003 3.59 -2.11 -36.95\n2002 5.70 1.78 45.43\n2001 3.92 -1.18 -23.20\n2000 5.10 0.06 1.23\n1999 5.04 -0.54 -9.67\n1998 5.58 1.18 26.90\n1997 4.40 -0.21 -4.48\n1996 4.60 -1.82 -28.38\n1995 6.43 1.70 35.98\n1994 4.73 -0.36 -7.01\n1993 5.08 -0.94 -15.59\n1992 6.02 1.86 44.76\n1991 4.16 -0.38 -8.36\n1990 4.54 -1.24 -21.39\n1989 5.77 -0.78 -11.91\n1988 6.55 -1.29 -16.41\n1987 7.84 0.23 2.97\n1986 7.61 -2.05 -21.24\n1985 9.67 0.45 4.87\n1984 9.22 -0.73 -7.34\n1983 9.95 1.44 16.91\n1982 8.51 5.90 226.67\n1981 2.60 3.61 -358.10\n1980 -1.01 -2.03 -198.94\n1979 1.02 -1.09 -51.71\n1978 2.11 -1.47 -41.06\n1977 3.58 1.19 49.83\n1976 2.39 4.50 -213.23\n1975 -2.11 -1.25 145.74\n1974 -0.86 -4.66 -122.62\n1973 3.80 -0.42 -10.02\n1972 4.22 1.30 44.36\n1971 2.93 0 0\nReal Mortgage Rates (30 yr fixed) Table, 1971-2022 (Monthly)\nThis table shows 12-month trailing Inflation-Adjusted Mortgage Rates for the first of each month.\n2022 6 Data unavailable\n2022 5 Data unavailable\n2022 4 -3.86 0.64 -14.16\n2022 3 -4.50 0.49 -9.89\n2022 2 -4.99 -0.34 7.34\n2022 1 -4.65 -0.28 6.43\n2022 0 -4.37 -0.42 10.73\n2021 11 -3.95 -0.13 3.34\n2021 10 -3.82 -0.47 13.94\n2021 9 -3.35 -0.73 27.92\n2021 8 -2.62 -0.35 15.37\n2021 7 -2.27 0.10 -4.39\n2021 6 -2.38 0.06 -2.30\n2021 5 -2.43 -0.62 34.13\n2021 4 -1.81 -0.67 59.05\n2021 3 -1.14 -1.25 -1,133.85\n2021 2 0.11 -0.86 -88.68\n2021 1 0.97 -0.34 -25.68\n2021 0 1.31 -0.11 -7.60\n2020 11 1.42 -0.29 -16.86\n2020 10 1.71 -0.04 -2.43\n2020 9 1.75 0.24 15.86\n2020 8 1.51 -0.25 -14.30\n2020 7 1.76 -0.43 -19.76\n2020 6 2.19 -0.42 -16.08\n2020 5 2.61 -0.60 -18.61\n2020 4 3.21 0.25 8.48\n2020 3 2.96 1.05 54.97\n2020 2 1.91 0.53 37.94\n2020 1 1.39 0.19 16.06\n2020 0 1.19 -0.21 -15.05\n2019 11 1.40 -0.19 -12.13\n2019 10 1.60 -0.13 -7.37\n2019 9 1.73 -0.31 -15.34\n2019 8 2.04 0.04 1.92\n2019 7 2 -0.01 -0.41\n2019 6 2.01 -0.48 -19.38\n2019 5 2.49 0.20 8.81\n2019 4 2.29 -0.12 -5.13\n2019 3 2.41 -0.13 -5.26\n2019 2 2.55 -0.44 -14.80\n2019 1 2.99 -0.21 -6.53\n2019 0 3.20 0.28 9.55\n2018 11 2.92 0.39 15.25\n2018 10 2.53 0.52 25.57\n2018 9 2.02 -0.31 -13.15\n2018 8 2.32 0.50 27.58\n2018 7 1.82 0.23 14.48\n2018 6 1.59 -0.09 -5.24\n2018 5 1.68 0.08 4.97\n2018 4 1.60 -0.37 -18.72\n2018 3 1.97 0.11 5.75\n2018 2 1.86 0.12 7.02\n2018 1 1.74 -0.13 -7.02\n2018 0 1.87 0.04 2.11\n2017 11 1.83 0.18 11.14\n2017 10 1.65 -0.09 -5.26\n2017 9 1.74 0.04 2.47\n2017 8 1.70 -0.32 -16.03\n2017 7 2.02 -0.19 -8.63\n2017 6 2.21 -0.17 -7.31\n2017 5 2.39 0.16 7.25\n2017 4 2.23 0.32 17.09\n2017 3 1.90 0.09 5.03\n2017 2 1.81 0.35 23.76\n2017 1 1.46 -0.12 -7.46\n2017 0 1.58 0.11 7.82\n2016 11 1.47 -0.26 -15.17\n2016 10 1.73 -0.10 -5.29\n2016 9 1.82 -0.14 -7.23\n2016 8 1.97 -0.38 -16.23\n2016 7 2.35 -0.49 -17.15\n2016 6 2.83 0.22 8.43\n2016 5 2.61 0.04 1.63\n2016 4 2.57 0.06 2.22\n2016 3 2.51 -0.35 -12.30\n2016 2 2.87 -0.08 -2.87\n2016 1 2.95 0.40 15.46\n2016 0 2.56 -0.58 -18.58\n2015 11 3.14 -0.21 -6.20\n2015 10 3.35 -0.37 -9.98\n2015 9 3.72 -0.23 -5.74\n2015 8 3.95 0.06 1.58\n2015 7 3.88 0.18 4.99\n2015 6 3.70 0.02 0.66\n2015 5 3.68 -0.06 -1.70\n2015 4 3.74 -0.21 -5.31\n2015 3 3.95 0.29 7.80\n2015 2 3.66 -0.09 -2.44\n2015 1 3.76 -0.22 -5.63\n2015 0 3.98 0.72 21.93\n2014 11 3.26 0.40 13.80\n2014 10 2.87 0.43 17.74\n2014 9 2.44 -0.05 -1.87\n2014 8 2.48 0.06 2.55\n2014 7 2.42 0.27 12.70\n2014 6 2.15 -0.07 -3.16\n2014 5 2.22 -0.07 -2.86\n2014 4 2.28 -0.04 -1.90\n2014 3 2.33 -0.39 -14.37\n2014 2 2.72 -0.69 -20.15\n2014 1 3.40 0.52 18.14\n2014 0 2.88 0.22 8.38\n2013 11 2.66 -0.32 -10.88\n2013 10 2.98 -0.62 -17.29\n2013 9 3.61 0.40 12.52\n2013 8 3.21 0.43 15.64\n2013 7 2.77 0.82 42.18\n2013 6 1.95 0.35 22.17\n2013 5 1.60 -0.58 -26.74\n2013 4 2.18 -0.28 -11.35\n2013 3 2.46 0.40 19.49\n2013 2 2.06 0.69 50.95\n2013 1 1.36 -0.38 -21.95\n2013 0 1.75 0.10 5.83\n2012 11 1.65 0.05 3.33\n2012 10 1.60 0.21 15\n2012 9 1.39 -0.17 -10.97\n2012 8 1.56 -0.37 -19.14\n2012 7 1.93 -0.33 -14.77\n2012 6 2.26 0.09 3.93\n2012 5 2.18 -0.10 -4.38\n2012 4 2.28 0.68 42.48\n2012 3 1.60 0.38 31.07\n2012 2 1.22 0.18 17.30\n2012 1 1.04 -0.04 -3.34\n2012 0 1.07 0.04 3.59\n2011 11 1.04 0.49 90.16\n2011 10 0.55 -0.15 -21.47\n2011 9 0.69 0.17 33.19\n2011 8 0.52 -0.31 -37.06\n2011 7 0.83 -0.09 -10.04\n2011 6 0.92 -0.23 -19.97\n2011 5 1.15 -0.15 -11.54\n2011 4 1.30 -0.41 -23.74\n2011 3 1.71 -0.42 -19.83\n2011 2 2.13 -0.53 -20.06\n2011 1 2.66 -0.17 -5.86\n2011 0 2.83 0.08 3.06\n2010 11 2.74 -0.38 -12.23\n2010 10 3.13 -0.02 -0.67\n2010 9 3.15 -0.20 -5.93\n2010 8 3.35 -0.09 -2.49\n2010 7 3.43 -0.12 -3.46\n2010 6 3.55 -0.39 -9.93\n2010 5 3.95 0.89 29.02\n2010 4 3.06 0.33 11.91\n2010 3 2.73 0.04 1.39\n2010 2 2.70 -0.25 -8.51\n2010 1 2.95 0.86 41.38\n2010 0 2.08 -0.17 -7.72\n2009 11 2.26 -0.84 -27.18\n2009 10 3.10 -2.16 -41.06\n2009 9 5.26 -1.24 -19.11\n2009 8 6.51 -0.30 -4.38\n2009 7 6.80 -0.58 -7.89\n2009 6 7.39 1.12 17.88\n2009 5 6.27 0.21 3.39\n2009 4 6.06 0.17 2.97\n2009 3 5.89 0.25 4.50\n2009 2 5.63 0.86 18.01\n2009 1 4.77 -0.73 -13.21\n2009 0 5.50 -0.61 -9.96\n2008 11 6.11 1.08 21.43\n2008 10 5.03 2.34 86.67\n2008 9 2.69 1.11 70.23\n2008 8 1.58 0.60 61.84\n2008 7 0.98 0.49 99.67\n2008 6 0.49 -0.55 -52.82\n2008 5 1.04 -0.67 -39.09\n2008 4 1.70 -0.39 -18.57\n2008 3 2.09 0.40 23.96\n2008 2 1.69 -0.35 -17.37\n2008 1 2.04 0.36 21.65\n2008 0 1.68 -0.50 -22.90\n2007 11 2.18 0.11 5.57\n2007 10 2.06 -0.86 -29.41\n2007 9 2.92 -1 -25.51\n2007 8 3.92 -0.73 -15.77\n2007 7 4.66 0.49 11.70\n2007 6 4.17 0.70 20.12\n2007 5 3.47 -0.01 -0.18\n2007 4 3.48 -0.13 -3.53\n2007 3 3.61 0.05 1.27\n2007 2 3.56 -0.20 -5.41\n2007 1 3.76 -0.27 -6.68\n2007 0 4.03 0.27 7.03\n2006 11 3.77 -0.56 -12.87\n2006 10 4.33 -0.84 -16.23\n2006 9 5.16 0.60 13.07\n2006 8 4.57 1.60 53.73\n2006 7 2.97 0.45 17.69\n2006 6 2.52 0.25 11.16\n2006 5 2.27 0.01 0.35\n2006 4 2.26 -0.43 -15.99\n2006 3 2.69 -0.17 -6.04\n2006 2 2.87 0.25 9.75\n2006 1 2.61 0.34 14.85\n2006 0 2.27 -0.62 -21.41\n2005 11 2.89 0.37 14.65\n2005 10 2.52 1.16 85.33\n2005 9 1.36 0.23 20.19\n2005 8 1.13 -0.85 -42.73\n2005 7 1.98 -0.47 -19.30\n2005 6 2.45 -0.77 -23.84\n2005 5 3.22 0.09 2.96\n2005 4 3.13 0.85 37.20\n2005 3 2.28 -0.20 -8.15\n2005 2 2.48 -0.28 -10.17\n2005 1 2.76 -0.08 -2.74\n2005 0 2.84 0.40 16.19\n2004 11 2.44 0.15 6.42\n2004 10 2.30 -0.28 -11\n2004 9 2.58 -0.87 -25.24\n2004 8 3.45 -0.10 -2.91\n2004 7 3.56 0.27 8.10\n2004 6 3.29 0.44 15.26\n2004 5 2.85 0.39 15.62\n2004 4 2.47 -0.84 -25.32\n2004 3 3.30 -0.68 -17.02\n2004 2 3.98 -0.19 -4.65\n2004 1 4.18 0.08 2.03\n2004 0 4.09 -0.01 -0.16\n2003 11 4.10 0.10 2.39\n2003 10 4 -0.39 -8.96\n2003 9 4.40 0.58 15.18\n2003 8 3.82 0.58 17.82\n2003 7 3.24 0.09 2.91\n2003 6 3.15 -0.44 -12.20\n2003 5 3.59 -0.14 -3.87\n2003 4 3.73 0.29 8.33\n2003 3 3.45 0.59 20.47\n2003 2 2.86 -0.01 -0.32\n2003 1 2.87 -0.72 -20.14\n2003 0 3.59 -0.16 -4.28\n2002 11 3.75 -0.06 -1.53\n2002 10 3.81 -0.31 -7.58\n2002 9 4.12 -0.79 -16.10\n2002 8 4.92 0.15 3.12\n2002 7 4.77 -0.48 -9.11\n2002 6 5.25 -0.47 -8.18\n2002 5 5.71 -0.24 -3.96\n2002 4 5.95 0.79 15.26\n2002 3 5.16 -0.38 -6.92\n2002 2 5.54 -0.46 -7.63\n2002 1 6 0.30 5.35\n2002 0 5.70 0.69 13.77\n2001 11 5.01 0.26 5.56\n2001 10 4.74 -0.02 -0.40\n2001 9 4.76 0.41 9.46\n2001 8 4.35 -0.12 -2.65\n2001 7 4.47 -0.05 -1.11\n2001 6 4.52 0.63 16.15\n2001 5 3.89 0.50 14.64\n2001 4 3.39 -0.37 -9.73\n2001 3 3.76 -0.41 -9.80\n2001 2 4.17 0.63 17.90\n2001 1 3.54 -0.38 -9.73\n2001 0 3.92 -0.43 -9.80\n2000 11 4.34 -0.04 -0.93\n2000 10 4.38 -0.13 -2.84\n2000 9 4.51 -0.15 -3.30\n2000 8 4.67 -0.08 -1.75\n2000 7 4.75 -0.13 -2.70\n2000 6 4.88 0.33 7.28\n2000 5 4.55 -0.46 -9.21\n2000 4 5.01 -0.19 -3.66\n2000 3 5.20 0.71 15.78\n2000 2 4.49 -0.44 -8.84\n2000 1 4.93 -0.17 -3.39\n2000 0 5.10 -0.05 -1.05\n1999 11 5.16 0.08 1.52\n1999 10 5.08 -0.19 -3.62\n1999 9 5.27 0.01 0.14\n1999 8 5.26 -0.18 -3.38\n1999 7 5.45 0.18 3.42\n1999 6 5.27 0.21 4.12\n1999 5 5.06 0.17 3.38\n1999 4 4.89 0.11 2.27\n1999 3 4.78 -0.24 -4.79\n1999 2 5.02 -0.16 -3.09\n1999 1 5.18 0.14 2.87\n1999 0 5.04 -0.24 -4.53\n1998 11 5.28 0.23 4.48\n1998 10 5.05 -0.28 -5.30\n1998 9 5.33 -0.12 -2.13\n1998 8 5.45 0.09 1.64\n1998 7 5.36 0 -0.09\n1998 6 5.37 -0.17 -3.03\n1998 5 5.54 0.07 1.32\n1998 4 5.46 -0.29 -5.05\n1998 3 5.75 0.10 1.76\n1998 2 5.66 0.07 1.18\n1998 1 5.59 0.01 0.18\n1998 0 5.58 0.04 0.74\n1997 11 5.54 0.06 1.02\n1997 10 5.48 0.04 0.66\n1997 9 5.45 0.24 4.61\n1997 8 5.21 -0.19 -3.51\n1997 7 5.39 -0.23 -4.02\n1997 6 5.62 -0.09 -1.61\n1997 5 5.71 -0.23 -3.91\n1997 4 5.95 0.60 11.23\n1997 3 5.34 0.37 7.36\n1997 2 4.98 0.34 7.39\n1997 1 4.64 0.24 5.46\n1997 0 4.40 -0.06 -1.38\n1996 11 4.46 -0.35 -7.23\n1996 10 4.80 -0.54 -10.14\n1996 9 5.35 0.12 2.29\n1996 8 5.23 -0.03 -0.66\n1996 7 5.26 -0.09 -1.62\n1996 6 5.35 0.11 2.16\n1996 5 5.24 0.35 7.09\n1996 4 4.89 0.38 8.32\n1996 3 4.51 0.33 7.98\n1996 2 4.18 -0.19 -4.33\n1996 1 4.37 -0.23 -5.06\n1996 0 4.60 -0.30 -6.11\n1995 11 4.90 -0.06 -1.27\n1995 10 4.96 0.01 0.29\n1995 9 4.95 -0.33 -6.18\n1995 8 5.28 0.26 5.27\n1995 7 5.01 0.07 1.32\n1995 6 4.95 -0.28 -5.40\n1995 5 5.23 0.01 0.11\n1995 4 5.22 -0.25 -4.63\n1995 3 5.48 -0.61 -10.02\n1995 2 6.09 -0.27 -4.25\n1995 1 6.36 -0.07 -1.07\n1995 0 6.43 0.05 0.79\n1994 11 6.38 0.16 2.57\n1994 10 6.22 0.34 5.84\n1994 9 5.87 0.46 8.41\n1994 8 5.42 -0.25 -4.46\n1994 7 5.67 -0.11 -1.91\n1994 6 5.78 -0.26 -4.26\n1994 5 6.04 0.29 4.96\n1994 4 5.75 0.60 11.70\n1994 3 5.15 0.69 15.37\n1994 2 4.46 -0.25 -5.33\n1994 1 4.71 -0.01 -0.24\n1994 0 4.73 0.36 8.34\n1993 11 4.36 0.15 3.50\n1993 10 4.21 0.03 0.82\n1993 9 4.18 -0.34 -7.54\n1993 8 4.52 0.06 1.31\n1993 7 4.46 -0.23 -4.94\n1993 6 4.69 0.27 6.10\n1993 5 4.42 0.12 2.68\n1993 4 4.31 0.09 2.25\n1993 3 4.21 -0.50 -10.59\n1993 2 4.71 -0.11 -2.28\n1993 1 4.82 -0.26 -5.08\n1993 0 5.08 -0.31 -5.71\n1992 11 5.39 0.51 10.39\n1992 10 4.88 0.14 3.05\n1992 9 4.74 -0.33 -6.59\n1992 8 5.07 -0.07 -1.37\n1992 7 5.14 -0.29 -5.35\n1992 6 5.43 -0.32 -5.54\n1992 5 5.75 -0.18 -3.11\n1992 4 5.94 0.27 4.71\n1992 3 5.67 0.18 3.37\n1992 2 5.48 0.06 1.18\n1992 1 5.42 -0.60 -9.95\n1992 0 6.02 0.30 5.32\n1991 11 5.72 -0.16 -2.80\n1991 10 5.88 -0.34 -5.44\n1991 9 6.22 0.17 2.81\n1991 8 6.05 0.23 3.92\n1991 7 5.82 0.79 15.67\n1991 6 5.03 0.26 5.41\n1991 5 4.77 0.24 5.24\n1991 4 4.54 0.02 0.53\n1991 3 4.51 -0.15 -3.27\n1991 2 4.66 0.42 9.83\n1991 1 4.25 0.09 2.14\n1991 0 4.16 0.13 3.35\n1990 11 4.02 0.22 5.74\n1990 10 3.81 -0.10 -2.44\n1990 9 3.90 0.22 5.98\n1990 8 3.68 -0.76 -17.15\n1990 7 4.44 -1.02 -18.75\n1990 6 5.47 -0.53 -8.83\n1990 5 6 0.10 1.67\n1990 4 5.90 0.38 6.88\n1990 3 5.52 0.58 11.78\n1990 2 4.94 0.37 8.10\n1990 1 4.57 0.03 0.64\n1990 0 4.54 -0.64 -12.28\n1989 11 5.17 -0.27 -5\n1989 10 5.44 -0.28 -4.93\n1989 9 5.73 0.39 7.27\n1989 8 5.34 0.02 0.29\n1989 7 5.32 -0.18 -3.22\n1989 6 5.50 -0.30 -5.16\n1989 5 5.80 0.09 1.62\n1989 4 5.71 -0.08 -1.35\n1989 3 5.79 0.21 3.85\n1989 2 5.57 -0.40 -6.71\n1989 1 5.97 0.20 3.46\n1989 0 5.77 0.07 1.27\n1988 11 5.70 -0.43 -7.06\n1988 10 6.13 -0.27 -4.16\n1988 9 6.40 0.13 2.14\n1988 8 6.27 -0.10 -1.62\n1988 7 6.37 -0.08 -1.25\n1988 6 6.45 0.09 1.49\n1988 5 6.36 0.20 3.18\n1988 4 6.16 0.21 3.60\n1988 3 5.95 -0.07 -1.15\n1988 2 6.01 -0.54 -8.27\n1988 1 6.56 0 0.06\n1988 0 6.55 0.20 3.11\n1987 11 6.36 -0.30 -4.44\n1987 10 6.65 0.55 9.09\n1987 9 6.10 0.10 1.71\n1987 8 5.99 -0.08 -1.34\n1987 7 6.08 -0.70 -10.30\n1987 6 6.77 -0.04 -0.65\n1987 5 6.82 1.41 26.17\n1987 4 5.40 0.15 2.83\n1987 3 5.25 -0.77 -12.81\n1987 2 6.03 -1.24 -17.05\n1987 1 7.27 -0.57 -7.33\n1987 0 7.84 -0.89 -10.21\n1986 11 8.73 -0.06 -0.72\n1986 10 8.80 0.37 4.36\n1986 9 8.43 -0.22 -2.52\n1986 8 8.65 -0.39 -4.32\n1986 7 9.04 -0.13 -1.39\n1986 6 9.16 1.03 12.65\n1986 5 8.13 -0.36 -4.29\n1986 4 8.50 -0.11 -1.29\n1986 3 8.61 0.02 0.18\n1986 2 8.59 0.90 11.66\n1986 1 7.70 0.08 1.09\n1986 0 7.61 -0.60 -7.28\n1985 11 8.21 -0.44 -5.14\n1985 10 8.66 -0.26 -2.97\n1985 9 8.92 -0.11 -1.17\n1985 8 9.03 0.25 2.81\n1985 7 8.78 -0.06 -0.62\n1985 6 8.84 -0.47 -5.09\n1985 5 9.31 -0.19 -1.99\n1985 4 9.50 0.16 1.76\n1985 3 9.33 0.11 1.17\n1985 2 9.23 -0.36 -3.74\n1985 1 9.58 -0.08 -0.86\n1985 0 9.67 -0.23 -2.37\n1984 11 9.90 -0.23 -2.24\n1984 10 10.13 -0.03 -0.33\n1984 9 10.16 -0.25 -2.38\n1984 8 10.41 0.04 0.40\n1984 7 10.37 0.28 2.80\n1984 6 10.09 0.53 5.51\n1984 5 9.56 0.16 1.73\n1984 4 9.40 0.73 8.42\n1984 3 8.67 0.21 2.45\n1984 2 8.46 -0.37 -4.24\n1984 1 8.83 -0.38 -4.17\n1984 0 9.22 -0.41 -4.27\n1983 11 9.63 -0.70 -6.74\n1983 10 10.32 -0.59 -5.44\n1983 9 10.92 0.05 0.45\n1983 8 10.87 0.35 3.32\n1983 7 10.52 0.24 2.36\n1983 6 10.28 0.15 1.44\n1983 5 10.13 0.86 9.30\n1983 4 9.27 0.43 4.86\n1983 3 8.84 -0.62 -6.56\n1983 2 9.46 -0.51 -5.11\n1983 1 9.97 0.02 0.23\n1983 0 9.95 -0.13 -1.31\n1982 11 10.08 -0.46 -4.37\n1982 10 10.54 0.09 0.86\n1982 9 10.45 -1.06 -9.18\n1982 8 11.51 0.49 4.42\n1982 7 11.02 0.81 7.94\n1982 6 10.21 0.49 5.07\n1982 5 9.72 -0.55 -5.38\n1982 4 10.27 -0.51 -4.75\n1982 3 10.78 0 0\n1982 2 10.78 1.10 11.39\n1982 1 9.68 1.17 13.73\n1982 0 8.51 -0.94 -9.93\n1981 11 9.45 0.76 8.73\n1981 10 8.69 1.04 13.61\n1981 9 7.65 1.47 23.81\n1981 8 6.18 0.34 5.86\n1981 7 5.84 -0.16 -2.71\n1981 6 6 -0.27 -4.30\n1981 5 6.27 0.65 11.52\n1981 4 5.62 0.22 4.07\n1981 3 5.40 0.89 19.65\n1981 2 4.51 0.97 27.38\n1981 1 3.54 0.94 36.02\n1981 0 2.60 1.04 66.58\n1980 11 1.56 0.61 64.29\n1980 10 0.95 0.69 260.46\n1980 9 0.26 0.61 -175.33\n1980 8 -0.35 0.34 -49.39\n1980 7 -0.69 -0.62 852.79\n1980 6 -0.07 -1.59 -104.80\n1980 5 1.52 -0.43 -22.06\n1980 4 1.94 2.68 -366.04\n1980 3 -0.73 1.18 -61.66\n1980 2 -1.91 -0.57 43.09\n1980 1 -1.33 -0.32 32.02\n1980 0 -1.01 -0.52 104.32\n1979 11 -0.49 0.77 -60.84\n1979 10 -1.26 -0.39 44.72\n1979 9 -0.87 0.23 -20.80\n1979 8 -1.10 -0.41 59.91\n1979 7 -0.69 -0.32 89.42\n1979 6 -0.36 -0.07 25.47\n1979 5 -0.29 0.08 -22.31\n1979 4 -0.37 -0.32 576.03\n1979 3 -0.06 -0.36 -118.05\n1979 2 0.31 -0.22 -41.62\n1979 1 0.52 -0.50 -48.72\n1979 0 1.02 0.14 15.61\n1978 11 0.88 -0.08 -8.54\n1978 10 0.96 0.14 17.44\n1978 9 0.82 -0.65 -44.27\n1978 8 1.47 -0.41 -21.89\n1978 7 1.89 -0.09 -4.47\n1978 6 1.98 -0.09 -4.42\n1978 5 2.07 -0.25 -10.73\n1978 4 2.31 -0.34 -12.65\n1978 3 2.65 0.07 2.90\n1978 2 2.58 0.01 0.20\n1978 1 2.57 0.46 21.67\n1978 0 2.11 -0.09 -3.94\n1977 11 2.20 -0.01 -0.31\n1977 10 2.21 -0.28 -11.40\n1977 9 2.49 0.14 5.82\n1977 8 2.35 0.02 0.99\n1977 7 2.33 0.31 15.34\n1977 6 2.02 0.11 5.54\n1977 5 1.91 -0.06 -3.07\n1977 4 1.97 0.28 16.27\n1977 3 1.70 -0.54 -24.19\n1977 2 2.24 -0.55 -19.60\n1977 1 2.79 -0.80 -22.27\n1977 0 3.58 -0.40 -10.06\n1976 11 3.99 -0.03 -0.81\n1976 10 4.02 0.48 13.63\n1976 9 3.54 0.03 0.86\n1976 8 3.51 0.28 8.83\n1976 7 3.22 -0.21 -6.08\n1976 6 3.43 0.65 23.37\n1976 5 2.78 0.28 11.33\n1976 4 2.50 -0.22 -8.23\n1976 3 2.72 -0.07 -2.40\n1976 2 2.79 -0.03 -0.94\n1976 1 2.81 0.42 17.65\n1976 0 2.39 0.14 6.15\n1975 11 2.25 0.43 23.73\n1975 10 1.82 0.18 10.82\n1975 9 1.64 0.66 66.89\n1975 8 0.98 0.70 251.74\n1975 7 0.28 1.11 -133.87\n1975 6 -0.83 -0.36 76.72\n1975 5 -0.47 0.17 -26.34\n1975 4 -0.64 0.57 -47.45\n1975 3 -1.21 -0.16 14.96\n1975 2 -1.05 0.58 -35.47\n1975 1 -1.63 0.48 -22.90\n1975 0 -2.11 0.36 -14.39\n1974 11 -2.47 -0.29 13.17\n1974 10 -2.18 0 -0.04\n1974 9 -2.18 0.30 -11.93\n1974 8 -2.48 -0.75 43.61\n1974 7 -1.72 0.73 -29.67\n1974 6 -2.45 -0.46 23.25\n1974 5 -1.99 0.28 -12.20\n1974 4 -2.27 -0.58 34.75\n1974 3 -1.68 0.23 -12.07\n1974 2 -1.91 -0.45 30.70\n1974 1 -1.46 -0.60 70.22\n1974 0 -0.86 -0.77 900.99\n1973 11 -0.09 -0.65 -115.19\n1973 10 0.57 -0.40 -41.64\n1973 9 0.97 0.07 8.03\n1973 8 0.90 0.39 76.13\n1973 7 0.51 -1.46 -74.19\n1973 6 1.97 0.39 24.44\n1973 5 1.58 -0.40 -20.01\n1973 4 1.98 -0.41 -17.10\n1973 3 2.39 -0.45 -15.87\n1973 2 2.84 -0.73 -20.34\n1973 1 3.57 -0.23 -6.17\n1973 0 3.80 -0.22 -5.55\n1972 11 4.02 0.28 7.51\n1972 10 3.74 -0.25 -6.37\n1972 9 4 -0.17 -4\n1972 8 4.16 -0.28 -6.20\n1972 7 4.44 0.03 0.62\n1972 6 4.41 -0.21 -4.52\n1972 5 4.62 0.60 14.82\n1972 4 4.02 0.20 5.11\n1972 3 3.83 -0.02 -0.55\n1972 2 3.85 -0.10 -2.56\n1972 1 3.95 -0.27 -6.45\n1972 0 4.22 -0.10 -2.31\n1971 11 4.32 -0.06 -1.45\n1971 10 4.39 0.48 12.41\n1971 9 3.90 0.32 9.07\n1971 8 3.58 0.65 22.35\n1971 7 2.92 -0.24 -7.48\n1971 6 3.16 0.42 15.33\n1971 5 2.74 -0.19 -6.32\n1971 4 2.93 0 0


AT 2021iez | Transient Name Server\ncyan-ATLAS ATLAS1_ACAM1 2021-04-06 11:00:58 - 2021-04-06 11:00:58 1\n203929 2021-04-06 11:00:58 19.441 0.13 20 ABMag cyan-ATLAS ATLAS1_ACAM1 30 Robot\norange-ATLAS ATLAS1_ACAM1 2021-04-04 15:24:29 - 2021-04-04 15:24:29 1\n203928 2021-04-04 15:24:29 18.68 ABMag orange-ATLAS ATLAS1_ACAM1 30 Robot [Last non detection]\ng-ZTF P48_ZTF-Cam 2021-03-18 07:23:48 - 2021-03-18 07:23:48 1\n203462 2021-03-18 07:23:48 20.811 0.24 ABMag g-ZTF P48_ZTF-Cam 30 Robot\nr-ZTF P48_ZTF-Cam 2021-03-07 10:24:12 - 2021-03-07 10:24:12 1\n203461 2021-03-07 10:24:12 20.267 ABMag r-ZTF P48_ZTF-Cam 30 Robot [Last non detection]\n105479 2021-04-06 13:21:22 ATLAS_Bot1 J. Tonry, L. Denneau, A. Heinze, H. Weiland (IfA, University of Hawaii), B. Stalder (LSST), A. Rest (STScI), C. Stubbs (Harvard University), K. W. Smith, S. J. Smartt, D. R. Young, S. Srivastav, O. McBrien, M. Fulton, J. Gillanders, C. Webb (Queen's University Belfast), T.-W. Chen (MPE), D. E. Wright (University of Minnesota), J. Anderson (ESO) ATLAS ATLAS 14:22:33.276 +44:16:53.04 2021-04-06 11:00:57.600 19.441 cyan-ATLAS PSN ATLAS21klv ATLAS\n105278 2021-04-05 00:16:58 ipf I. Perez-Fournon, C. Jimenez Angel, F. Poidevin (IAC & ULL), R. Shirley (Univ. of Southampton), R. Marques-Chaves (Univ. of Geneva), S. Geier (GRANTECAN & IAC), Y. Shu (MPA), S. Rodney, J. Roberts-Pierel (Univ. of South Carolina), A. Bolton (NSF's NOIRLab), S. Chakrabarti, P. Craig, and B. Alamiri (RIT) SGLF ZTF 14:22:33.225 +44:16:52.78 2021-03-18 07:23:48.000 20.811 g-ZTF PSN ZTF21aaqmhdy SGLF, ZTF Data were provided by the Zwicky Transient Facility (https://www.ztf.caltech.edu) and processed through the Lasair (https://lasair.roe.ac.uk), ALeRCE (https://alerce.online), Fink (https://fink-broker.org), ANTARES (https://antares.noirlab.edu), and MARS (https://mars.lco.global) brokers and our SGLF ZTF database and filters.


OBRES NOVES I REMENDOS, S.L. - Constructoresdebaleares\nEmpresa: OBRES NOVES I REMENDOS, S.L.\nRepresentante: FRANCISCO CARDONA PIRIS\nCL. D'ALLEMAN, 78


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CNSSI 4009-2015 under authorizing official (NIST SP 800-37 Rev. 1 - NIST SP 800-53 Rev 4)\nNIST SP 800-12 Rev. 1 (NIST SP 800-37 Rev. 1)\nNIST SP 800-161 (CNSSI 4009)


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xp Cv\tدانلود کتاب منطق صوری (جلد اول و دوم) » کتابخانه رایگان تاریخ ما\nدر 30 دی 1399 749 0\nمنطق صوری (جلد اول و دوم) دانلود\n4.9 مگابایت (MB)\nکتاب منطق صوری (جلد اول و دوم) اثر محمد خوانساری است ؛ کتاب مرحوم دکتر خوانساری از نظر جامعیت به مانند «میزان خرد» مرحوم دکتر شهابی نیست ولی از نظر فصیح و روان بودن برای آموزش مبتدیان بسیار حائز اهمیت است و نسبت به «میزان خرد» برتری دارد. از همین رو بود که از میان این دو کتاب، کتاب مرحوم خوانساری برای تدریس انتخاب می‌شد.\nآثار محمد خوانساریآموزش مبتدیانتدریسمحمد خوانساریمیزان خرد


1. Kyle Schwarber CHN 26 1 -0.000 0.000 -0.0 0.0 2 -0.009 0.0 0.000 0.000 0.0 0.0 -0.5\n4. Martin Maldonado CHN 32 234 -0.002 0.001 -0.1 0.1 151 0.006 -0.3 1 0.000 0.048 -0.0 0.1 1.7\n5. Martin Maldonado KCA 32 4,535 -0.002 0.001 -1.4 1.0 3280 -0.004 3.3 26 -0.003 -0.014 0.3 2.1 1.7\n6. Martin Maldonado HOU 32 1,515 -0.002 0.001 -0.5 0.3 1000 0.000 0.9 10 0.000 0.040 -0.3 0.6 1.7\n8. Pedro Severino BAL 25 5,744 -0.011 0.002 -9.6 1.4 4047 0.004 -4.1 40 0.000 0.009 -0.2 -13.9 -13.9\n10. Andrew Knapp PHI 27 2,155 -0.001 0.002 -0.2 0.5 1468 0.001 -0.6 23 0.003 -0.006 0.1 -0.8 -0.4\n11. Omar Narvaez SEA 27 6,032 -0.009 0.002 -8.2 1.6 3931 0.004 -4.3 55 0.006 0.028 -1.0 -13.7 -11.3\n12. Jorge Alfaro MIA 26 7,098 -0.002 0.002 -1.7 1.9 4853 0.003 -3.5 44 -0.003 -0.003 0.1 -5.2 -2.1\n13. Welington Castillo CHA 32 3,060 -0.022 0.002 -10.5 0.8 2146 0.005 -3.1 30 0.002 0.017 -0.3 -14.0 -13.8\n14. Willson Contreras CHN 27 6,259 -0.010 0.002 -9.4 1.7 4305 0.000 -0.0 49 -0.001 0.009 -0.3 -9.7 -6.6\n15. Victor Caratini CHN 25 2,907 0.008 0.002 3.4 0.9 1934 -0.002 0.9 29 -0.000 0.007 -0.1 4.6 3.3\n16. Yan Gomes WAS 31 5,538 -0.005 0.002 -4.3 1.7 3951 -0.003 2.8 49 0.001 -0.020 0.7 -1.0 -1.8\n17. Jeff Mathis TEX 36 4,924 -0.002 0.002 -1.8 1.5 3367 -0.001 0.8 47 0.000 0.030 -1.0 -2.1 -3.0\n18. Christian Vazquez BOS 28 7,141 0.011 0.002 12.3 2.2 5165 0.004 -5.3 51 0.003 -0.025 0.8 7.7 7.8\n19. Jason Castro MIN 32 4,517 0.009 0.002 6.1 1.4 3269 0.002 -1.9 33 0.001 0.014 -0.3 3.8 3.6\n21. Mike Zunino TBA 28 4,563 0.010 0.002 7.0 1.5 3111 -0.002 1.7 35 -0.004 -0.047 1.1 9.8 7.9\n22. James Mccann CHA 29 6,448 -0.008 0.002 -8.0 2.1 4517 0.001 -0.9 45 -0.002 -0.029 0.9 -7.6 -10.3\n23. Jonathan Lucroy ANA 33 4,110 -0.005 0.002 -3.1 1.3 2887 0.007 -5.5 46 0.009 -0.014 0.4 -8.4 -9.1\n24. Kurt Suzuki WAS 35 4,460 -0.009 0.002 -5.9 1.5 3060 0.002 -1.7 42 0.006 0.046 -1.3 -9.3 -8.5\n27. J.t. Realmuto PHI 28 8,275 0.008 0.002 10.5 2.7 5595 -0.003 4.8 83 -0.001 -0.084 4.7 20.4 19.6\n28. Juan Centeno BOS 29 297 -0.014 0.002 -0.7 0.1 207 0.009 -0.5 3 0.001 -0.003 0.0 -0.1 -1.1\n29. Kevan Smith ANA 31 3,194 -0.009 0.002 -4.3 1.1 2250 0.003 -2.0 29 0.001 0.034 -0.7 -6.9 -7.9\n30. Max Stassi ANA 28 994 0.026 0.002 3.9 0.3 693 0.003 -0.5 9 0.001 0.013 -0.1 3.3 9.5\n31. Tony Wolters COL 27 6,394 -0.009 0.002 -8.8 2.2 4473 -0.001 1.4 52 -0.001 -0.030 1.1 -6.4 -4.4\n33. Tom Murphy SEA 28 4,180 0.005 0.002 3.5 1.5 2729 -0.001 0.8 30 -0.002 -0.032 0.7 4.7 4.7\n35. Roberto Perez CLE 30 6,841 0.015 0.002 15.5 2.6 4801 -0.007 8.8 44 -0.007 -0.050 1.5 25.6 25.7\n37. Alex Avila ARI 32 2,976 -0.000 0.003 -0.1 1.2 1996 -0.004 2.3 19 -0.001 -0.056 0.7 2.8 2.1\n38. Wilson Ramos NYN 31 7,685 -0.004 0.003 -4.7 3.0 5143 0.000 -0.5 100 0.002 0.049 -3.3 -8.6 -6.6\n39. Max Stassi HOU 28 1,596 0.027 0.003 6.6 0.6 1056 0.001 -0.2 14 -0.000 0.015 -0.1 6.3 9.5\n40. Stephen Vogt SFN 34 3,277 -0.003 0.003 -1.6 1.3 2213 0.001 -0.6 27 0.000 0.028 -0.5 -3.7 -1.2\n41. Dustin Garneau ANA 31 1,462 0.002 0.003 0.4 0.6 1054 0.000 -0.0 15 0.000 -0.004 0.0 0.4 -0.0\n42. Will Smith LAN 24 2,726 0.005 0.003 2.1 1.1 1891 -0.002 1.2 23 0.001 0.007 -0.1 4.1 4.9\n43. Wilkin Castillo MIA 35 121 0.006 0.003 0.1 0.0 65 -0.005 0.1 0.000 0.000 0.0 2.1 0.2\n44. Curt Casali CIN 30 3,514 0.008 0.003 4.5 1.5 2396 -0.003 1.8 37 0.002 0.011 -0.3 6.0 6.1\n45. Manny Pina MIL 32 2,586 0.016 0.003 6.4 1.1 1839 -0.004 2.0 26 -0.001 0.007 -0.1 8.3 8.9\n46. Dustin Garneau OAK 31 285 0.002 0.003 0.1 0.1 175 0.003 -0.2 3 0.001 0.000 0.0 0.4 -0.0\n47. Tim Federowicz TEX 31 1,671 -0.004 0.003 -1.1 0.7 1163 -0.003 0.9 11 -0.002 -0.014 0.1 0.4 -0.5\n48. Tucker Barnhart CIN 28 5,324 0.012 0.003 10.1 2.3 3610 -0.005 4.9 46 -0.001 0.009 -0.3 14.7 15.5\n49. Carson Kelly ARI 24 5,466 -0.001 0.003 -0.9 2.3 3891 -0.002 2.6 35 -0.003 -0.014 0.3 1.9 -0.1\n50. Kevin Plawecki CLE 28 2,801 0.015 0.003 6.6 1.2 1846 -0.004 2.2 27 0.003 0.015 -0.3 8.4 8.1\n51. Nick Hundley OAK 35 1,454 -0.013 0.003 -2.8 0.6 1023 0.001 -0.2 18 0.001 0.006 -0.1 -3.2 -3.3\n52. Tomas Nido NYN 25 2,236 0.015 0.003 5.3 1.0 1560 -0.001 0.4 28 0.001 0.031 -0.6 5.1 5.3\n53. Sandy Leon BOS 30 3,530 0.009 0.003 4.8 1.5 2458 0.002 -1.0 27 -0.001 0.009 -0.2 3.5 2.9\n54. Austin Romine NYA 30 3,959 -0.004 0.003 -2.2 1.7 2725 -0.001 0.9 28 -0.004 -0.005 0.1 -1.6 -2.4\n55. Robinson Chirinos HOU 35 6,599 -0.003 0.003 -3.5 2.9 4403 -0.005 5.8 47 -0.004 0.014 -0.5 1.9 3.1\n57. Meibrys Viloria KCA 22 2,623 -0.010 0.003 -4.0 1.2 1768 0.000 -0.0 19 0.001 -0.022 0.3 -3.2 -3.5\n58. Travis D'arnaud TBA 30 4,036 0.003 0.003 1.8 1.8 2860 0.003 -2.4 37 0.004 0.000 0.1 -0.8 -3.6\n59. Travis D'arnaud LAN 30 0 0.000 0.003 0.0 2.0 0 0.000 0.0 0 0.031 0.000 0.0 -0.2 -3.6\n60. Matt Wieters SLN 33 2,643 -0.022 0.003 -8.7 1.2 1731 -0.002 1.2 17 -0.001 -0.028 0.3 -7.3 -7.4\n62. Travis D'arnaud NYN 30 409 0.003 0.003 0.2 0.2 255 0.000 0.0 5 0.000 -0.006 0.0 0.2 -3.6\n63. Bryan Holaday MIA 31 2,213 -0.014 0.003 -4.8 1.0 1476 0.000 -0.1 19 -0.001 0.002 -0.0 -4.9 -5.2\n66. David Freitas SEA 30 60 0.001 0.003 0.0 0.0 51 -0.007 0.1 1 0.001 0.015 -0.0 0.1 0.1\n67. Francisco Cervelli PIT 33 1,883 0.000 0.003 0.0 0.9 1348 0.003 -1.1 18 -0.002 -0.005 0.1 -1.0 -0.3\n68. Chris Iannetta COL 36 2,714 -0.013 0.003 -5.3 1.3 1913 0.001 -0.3 17 0.002 0.005 -0.1 -5.7 -6.3\n69. Elias Diaz PIT 28 5,531 -0.017 0.003 -14.4 2.7 3941 -0.000 0.1 40 -0.001 0.003 -0.1 -14.4 -11.0\n70. Mitch Garver MIN 28 4,503 0.006 0.003 4.2 2.2 3270 0.000 -0.3 28 -0.002 0.022 -0.4 3.3 4.6\n71. Tyler Flowers ATL 33 5,024 0.020 0.003 15.3 2.5 3661 0.004 -3.8 38 0.002 0.023 -0.6 10.7 10.4\n73. Garrett Stubbs HOU 26 487 -0.006 0.003 -0.5 0.2 309 0.011 -0.9 4 0.001 0.001 -0.0 -1.4 -1.6\n74. Reese Mcguire TOR 24 1,674 0.020 0.003 5.0 0.9 1312 -0.001 0.4 17 0.003 -0.002 0.0 5.7 5.0\n75. Cam Gallagher KCA 26 2,373 0.010 0.003 3.7 1.2 1752 -0.002 0.9 21 -0.003 0.021 -0.3 4.3 3.9\n76. Chad Wallach MIA 27 814 0.003 0.003 0.4 0.4 541 0.010 -1.5 4 0.003 -0.015 0.0 -1.1 -0.7\n77. Raudy Read WAS 25 165 -0.012 0.003 -0.3 0.1 122 0.003 -0.1 1 -0.000 -0.019 0.0 0.1 -0.1\n78. Josh Phegley OAK 31 5,711 -0.008 0.003 -7.1 3.0 3689 0.005 -5.5 57 0.004 -0.026 1.0 -11.6 -14.5\n81. Taylor Davis CHN 29 326 0.009 0.004 0.5 0.2 240 0.011 -0.7 9 0.005 0.014 -0.1 -0.4 0.0\n82. Kyle Higashioka NYA 29 972 0.013 0.004 1.9 0.5 683 -0.001 0.1 12 0.002 0.007 -0.1 1.7 2.1\n84. Jacob Nottingham MIL 24 74 0.002 0.004 0.0 0.0 43 0.012 -0.1 -0.000 0.000 -0.0 0.4 -0.0\n85. Seby Zavala CHA 25 152 0.004 0.004 0.1 0.1 67 -0.005 0.1 2 0.000 0.010 -0.0 0.2 0.2\n86. Chris Herrmann OAK 31 1,391 -0.014 0.004 -2.9 0.8 853 0.000 -0.1 10 -0.000 -0.019 0.1 -2.8 -3.3\n87. Bobby Wilson DET 36 981 0.005 0.004 0.8 0.6 654 -0.007 1.2 9 -0.003 0.019 -0.1 2.4 1.9\n88. Blake Swihart BOS 27 450 -0.006 0.004 -0.4 0.3 301 0.002 -0.2 4 -0.000 0.018 -0.0 -0.7 -1.1\n89. Blake Swihart ARI 27 450 -0.006 0.004 -0.4 0.3 301 0.002 -0.2 4 -0.000 0.018 -0.0 -0.7 -1.1\n90. Jesus Sucre BAL 31 1,096 -0.005 0.004 -0.9 0.7 755 0.002 -0.4 5 -0.001 -0.033 0.1 -1.1 -1.1\n91. Luke Maile TOR 28 2,570 0.013 0.004 5.2 1.5 1902 -0.002 0.8 27 0.001 -0.018 0.3 6.3 6.8\n92. Rocky Gale LAN 31 230 -0.001 0.004 -0.0 0.1 172 0.004 -0.2 -0.000 0.000 -0.0 -0.3 -0.3\n95. Jose Trevino TEX 26 2,301 0.002 0.004 0.8 1.4 1615 0.000 -0.0 13 -0.001 -0.005 0.0 0.6 0.5\n96. Jacob Stallings PIT 29 3,058 0.019 0.004 8.7 1.9 2209 -0.006 3.6 16 -0.003 -0.029 0.3 13.0 13.3\n97. Kyle Farmer CIN 28 585 -0.003 0.004 -0.3 0.4 396 -0.006 0.6 7 -0.001 -0.002 0.0 0.4 -1.5\n98. Isiah Kiner-falefa TEX 24 2,340 -0.025 0.004 -9.1 1.5 1759 0.006 -3.0 15 0.003 -0.002 0.0 -12.3 -9.3\n99. Andrew Knizner SLN 24 966 -0.027 0.004 -4.0 0.6 718 0.002 -0.4 3 -0.000 -0.038 0.1 -4.0 -4.4\n100. Caleb Joseph ARI 33 764 0.006 0.004 0.7 0.5 526 0.002 -0.2 5 0.000 -0.025 0.1 0.5 0.3\n101. Luis Torrens SDN 23 199 -0.003 0.004 -0.1 0.1 167 -0.009 0.4 -0.001 0.000 -0.0 1.0 0.4\n102. Alex Jackson ATL 23 215 0.010 0.004 0.3 0.1 122 -0.002 0.1 0.001 0.000 0.0 0.4 0.5\n103. Willians Astudillo MIN 27 1,061 -0.002 0.004 -0.3 0.7 724 0.000 -0.0 11 0.001 0.008 -0.1 -0.4 0.1\n105. Nick Ciuffo TBA 24 122 -0.005 0.004 -0.1 0.1 111 0.008 -0.3 2 0.000 0.015 -0.0 -0.1 -0.4\n106. Aramis Garcia SFN 26 642 0.015 0.004 1.5 0.4 516 0.007 -1.0 3 -0.000 0.002 -0.0 0.5 1.1\n107. Juan Graterol CIN 30 288 -0.003 0.005 -0.1 0.2 189 -0.006 0.3 1 -0.001 0.005 -0.0 -0.0 0.0\n108. Austin Allen SDN 25 919 -0.000 0.005 -0.1 0.6 673 0.002 -0.4 7 -0.001 0.006 -0.0 -0.5 -0.1\n110. Anthony Bemboom ANA 29 1,030 0.013 0.005 2.1 0.7 738 0.000 -0.1 0 0.002 0.000 0.0 2.0 0.9\n111. John Ryan Murphy ATL 28 13 -0.000 0.005 -0.0 0.0 9 0.000 0.0 0 0.000 0.033 -0.0 0.5 1.4\n113. Drew Butera COL 35 862 -0.010 0.005 -1.3 0.6 566 -0.008 1.2 5 -0.000 -0.011 0.0 -0.1 0.2\n115. Sean Murphy OAK 24 902 -0.002 0.005 -0.2 0.7 584 0.007 -1.2 6 0.001 0.002 -0.0 -1.4 -1.6\n116. Ryan Lavarnway CIN 31 331 0.001 0.005 0.1 0.3 215 -0.000 0.0 3 0.002 0.002 -0.0 0.4 0.2\n117. Michael Perez TBA 26 887 0.000 0.005 0.1 0.7 628 -0.005 0.9 15 0.002 0.020 -0.2 0.7 1.0\n118. Austin Nola SEA 29 256 0.003 0.005 0.1 0.2 168 -0.003 0.1 1 -0.002 0.005 -0.0 0.3 3.2\n119. Dom Nunez COL 24 671 0.003 0.005 0.3 0.5 502 -0.004 0.6 6 -0.000 0.008 -0.0 1.2 0.7\n120. Eric Haase CLE 26 178 -0.012 0.005 -0.3 0.1 170 0.017 -0.8 1 0.000 -0.011 0.0 -1.3 -1.3\n125. Erik Kratz SFN 39 679 0.008 0.006 0.8 0.6 444 0.000 0.0 8 0.000 -0.001 0.0 0.8 0.4\n126. Beau Taylor OAK 29 499 0.001 0.006 0.1 0.5 306 0.014 -1.1 4 0.003 -0.011 0.0 -1.1 -1.3\n127. Steven Baron PIT 28 125 0.001 0.006 0.0 0.1 87 -0.008 0.2 2 0.000 0.002 -0.0 1.0 0.2


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Benjamin Gregorio Breitman (unknown-2012) - Find A Grave Memorial\nBenjamin Gregorio Breitman\nS 17 T 44 Sep. 5 y 6\n86286686 · View Source\nA Jewish man, buried in the Recoleta's Cemetery.\nSee more Breitman memorials in:\nFind a Grave Memorial 86286686\nFind a Grave, database and images (www.findagrave.com/memorial/86286686/benjamin_gregorio-breitman : accessed ), memorial page for Benjamin Gregorio Breitman (unknown–4 Mar 2012), Find a Grave Memorial ID 86286686, citing Cementerio de la Recoleta, Buenos Aires, Ciudad Autónoma de Buenos Aires, Capital Federal, Argentina ; Maintained by KenR Jr. (contributor 49966516) .\nAdd Photos for Benjamin Gregorio Breitman\nFulfill Photo Request for Benjamin Gregorio Breitman\nyour computer for Benjamin Gregorio Breitman memorial.\nI thought you might like to see a memorial for Benjamin Gregorio Breitman I found on Findagrave.com.