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{"poster":"Spideraxe","date":"2017-01-10T22:01:34.529+0000","title":"The skin for following LoL on Twitter","subforum":"[ARCHIVED] Help & Support","up_votes":1,"down_votes":0,"body":"Recently did follow them but i didnt know how to do the linking account thing so i didnt get the skin, how would i claim it","replies":[{"poster":"Targons Blade","date":"2017-01-10T23:02:53.067+0000","up_votes":1,"down_votes":0,"body":"Ah, the link you use to claim the Twitter promotion is here:\n\n**http://woobox.com/scrx56**\n\nLet me know if you have any questions!","replies":[]}]} |
{"description":"está isbnprestamo presente en el dom|workspace-project Prestamo","passed":false,"pending":false,"os":"Windows","instanceId":8848,"browser":{"name":"chrome","version":"89.0.4389.82"},"message":["Failed: Angular could not be found on the page http://localhost:4200/home. If this is not an Angular application, you may need to turn off waiting for Angular.\n Please see \n https://github.com/angular/protractor/blob/master/docs/timeouts.md#waiting-for-angular-on-page-load"],"trace":["Error: Angular could not be found on the page http://localhost:4200/home. If this is not an Angular application, you may need to turn off waiting for Angular.\n Please see \n https://github.com/angular/protractor/blob/master/docs/timeouts.md#waiting-for-angular-on-page-load\n at C:\\Users\\juan.alzate\\AppData\\Roaming\\npm\\node_modules\\protractor\\built\\browser.js:718:27\n at ManagedPromise.invokeCallback_ (C:\\Users\\juan.alzate\\AppData\\Roaming\\npm\\node_modules\\protractor\\node_modules\\selenium-webdriver\\lib\\promise.js:1376:14)\n at TaskQueue.execute_ (C:\\Users\\juan.alzate\\AppData\\Roaming\\npm\\node_modules\\protractor\\node_modules\\selenium-webdriver\\lib\\promise.js:3084:14)\n at TaskQueue.executeNext_ (C:\\Users\\juan.alzate\\AppData\\Roaming\\npm\\node_modules\\protractor\\node_modules\\selenium-webdriver\\lib\\promise.js:3067:27)\n at C:\\Users\\juan.alzate\\AppData\\Roaming\\npm\\node_modules\\protractor\\node_modules\\selenium-webdriver\\lib\\promise.js:2927:27\n at C:\\Users\\juan.alzate\\AppData\\Roaming\\npm\\node_modules\\protractor\\node_modules\\selenium-webdriver\\lib\\promise.js:668:7\n at processTicksAndRejections (internal/process/task_queues.js:93:5)\nFrom: Task: Run it(\"está isbnprestamo presente en el dom\") in control flow\n at UserContext.<anonymous> (C:\\Users\\juan.alzate\\AppData\\Roaming\\npm\\node_modules\\protractor\\node_modules\\jasminewd2\\index.js:94:19)\n at attempt (C:\\Users\\juan.alzate\\AppData\\Roaming\\npm\\node_modules\\protractor\\node_modules\\jasmine-core\\lib\\jasmine-core\\jasmine.js:4297:26)\n at QueueRunner.run (C:\\Users\\juan.alzate\\AppData\\Roaming\\npm\\node_modules\\protractor\\node_modules\\jasmine-core\\lib\\jasmine-core\\jasmine.js:4217:20)\n at runNext (C:\\Users\\juan.alzate\\AppData\\Roaming\\npm\\node_modules\\protractor\\node_modules\\jasmine-core\\lib\\jasmine-core\\jasmine.js:4257:20)\n at C:\\Users\\juan.alzate\\AppData\\Roaming\\npm\\node_modules\\protractor\\node_modules\\jasmine-core\\lib\\jasmine-core\\jasmine.js:4264:13\n at C:\\Users\\juan.alzate\\AppData\\Roaming\\npm\\node_modules\\protractor\\node_modules\\jasmine-core\\lib\\jasmine-core\\jasmine.js:4172:9\n at C:\\Users\\juan.alzate\\AppData\\Roaming\\npm\\node_modules\\protractor\\node_modules\\jasminewd2\\index.js:64:48\n at ControlFlow.emit (C:\\Users\\juan.alzate\\AppData\\Roaming\\npm\\node_modules\\protractor\\node_modules\\selenium-webdriver\\lib\\events.js:62:21)\n at ControlFlow.shutdown_ (C:\\Users\\juan.alzate\\AppData\\Roaming\\npm\\node_modules\\protractor\\node_modules\\selenium-webdriver\\lib\\promise.js:2674:10)\n at C:\\Users\\juan.alzate\\AppData\\Roaming\\npm\\node_modules\\protractor\\node_modules\\selenium-webdriver\\lib\\promise.js:2599:53\nFrom asynchronous test: \nError: \n at Suite.<anonymous> (D:\\Proyectos\\ADNCeiba\\angular-base\\e2e\\src\\test\\prestamo.e2e-spec.ts:19:3)\n at addSpecsToSuite (C:\\Users\\juan.alzate\\AppData\\Roaming\\npm\\node_modules\\protractor\\node_modules\\jasmine-core\\lib\\jasmine-core\\jasmine.js:1107:25)\n at Env.describe (C:\\Users\\juan.alzate\\AppData\\Roaming\\npm\\node_modules\\protractor\\node_modules\\jasmine-core\\lib\\jasmine-core\\jasmine.js:1074:7)\n at describe (C:\\Users\\juan.alzate\\AppData\\Roaming\\npm\\node_modules\\protractor\\node_modules\\jasmine-core\\lib\\jasmine-core\\jasmine.js:4399:18)\n at Object.<anonymous> (D:\\Proyectos\\ADNCeiba\\angular-base\\e2e\\src\\test\\prestamo.e2e-spec.ts:7:1)\n at Module._compile (internal/modules/cjs/loader.js:1063:30)\n at Module.m._compile (D:\\Proyectos\\ADNCeiba\\angular-base\\node_modules\\ts-node\\src\\index.ts:439:23)\n at Module._extensions..js (internal/modules/cjs/loader.js:1092:10)\n at Object.require.extensions.<computed> [as .ts] (D:\\Proyectos\\ADNCeiba\\angular-base\\node_modules\\ts-node\\src\\index.ts:442:12)"],"browserLogs":[{"level":"SEVERE","message":"http://localhost:4200/home - Failed to load resource: the server responded with a status of 504 (Gateway Timeout)","timestamp":1615994796347,"type":""}],"screenShotFile":"000d00f4-0002-001d-0008-003500b5006d.png","timestamp":1615994796130,"duration":10399}
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{"poster":"WEHNERS","date":"2018-11-01T17:56:52.553+0000","title":"Star Guardian Skins Für alle","subforum":"Skin- & Champion-Konzepte","up_votes":3,"down_votes":3,"body":"Kann man eine Initiative gründen um dafür zu sorgen, dass jeder Champion einen Star Guardian Skin bekommt ?","replies":[{"poster":"TheFoxRox","date":"2018-11-01T21:15:59.118+0000","up_votes":3,"down_votes":0,"body":"Ich stelle mir gerade SG Cho oder SG WW vor xD","replies":[]},{"poster":"KíreíNeko","date":"2018-11-01T18:24:55.787+0000","up_votes":3,"down_votes":0,"body":"Ich glaube gemeint ist, dass jeder Champion einen Skin dieser Reihe bekommen sollte. Nicht jeder die Skins for free ....","replies":[]},{"poster":"BlackfrostAngel","date":"2018-11-03T07:57:37.803+0000","up_votes":2,"down_votes":0,"body":"Star Guardian Urgot und Gragas.","replies":[]},{"poster":"INoKami","date":"2018-11-01T18:13:00.764+0000","up_votes":1,"down_votes":3,"body":"Wow. Warum dann nicht gleich alle Skins kostenfrei machen? Und was ist, wenn ich die Star Guardian-Skins nicht mag?\n\nNenne mir jeweils einen Grund, warum a) du meinst, kostenfreie Skins zu brauchen und b) warum in Gottes Namen Riot dem nachgeben sollte, und auch wenn du eine Million Spieler hinter dir versammelst.","replies":[{"poster":"WEHNERS","date":"2018-11-01T18:27:03.490+0000","up_votes":2,"down_votes":0,"body":"Ich möchte keineswegs die skins kostenlos machen. Jenes hast du wohl falsch verstanden ich möchte nur,dass jeder champion einen star guardian Skin bekommt, da star guardian die beste skinreihe ist. Und leute die star guardian skins nicht mögen sind sowieso nicht nett.","replies":[{"poster":"INoKami","date":"2018-11-01T18:41:10.609+0000","up_votes":1,"down_votes":0,"body":"Ach, so rum. Ok, mein Fehler. Sry, hab mich wohl verlesen...\n\nLöst aber nicht das Problem, sondern verschiebt es nur auf eine andere Ebene. Weil, wie leider so oft hier, ist das wieder nur eine Forderung (für das das Forum nicht entworfen wurde) ohne jegliche konkrete Vorschläge (und für genau diese ist eigentlich das Forum gedacht). So läuft das leider nicht, dass man sagt \"Hey Riot, macht doch xy\" und Riot so: \"Ok, machen wir!\". Hier sollen Vorschläge der Community gesammelt werden und im besten Fall sind diese auch ausformuliert, also ein Champion-Konzept bringt eine vollständige Lore, Fähigkeiten-Kit etc. mit und ein Skin-Konzept ist ein (im Normallfall ausgemaltes) Bild deiner Idee mit Zusatzbeschreibungen, falls nötig, z.B. über besondere Animationen, evtl. eine kleine Hintergrundgeschichte zu dem Skin, andere Features, falls es ein Legendary/Ultimate sein soll.\nMit anderen Worten: Wenn du hier schon Vorschläge einreichst, dann auch bitte mit entsprechendem Material. Am Ende bist du dann nur höchstens enttäuscht, wenn dein Wunschskin doch nicht das ist, was du dir erhofft hast... und das ist nur eines von vielen Problemen, die unkonkrete Vorschläge wie diese mit sich bringen.","replies":[]}]}]}]} |
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{"poster":"Fleamclow","date":"2017-05-16T16:17:29.554+0000","title":"an unexpected error has occurred while logging in","subforum":"[ARCHIVED] Help & Support","up_votes":2,"down_votes":1,"body":"Riot please could you help me ? it is second time alredy . just fix it please.","replies":[{"poster":"iDesman","date":"2017-07-05T02:34:35.730+0000","up_votes":1,"down_votes":0,"body":"Worked for me: Just right click League of legends launcher and then click Troubleshoot Compatibility, select Try Recommended settings, Test the program, Then next and save the new settings","replies":[]},{"poster":"Porocles","date":"2017-05-16T16:53:32.724+0000","up_votes":1,"down_votes":0,"body":"When is this error happening exactly? Is it while loading the client, or after inputting your username info and logging in? Any screenshot could help too. Let me know!","replies":[{"poster":"Fuzzay V","date":"2017-05-16T20:18:50.974+0000","up_votes":1,"down_votes":0,"body":"It is also happening to me right this second. I tried everything but it doesnt let me login at all. Even if i put random letter in the username and passward it does not even say that they are wrong .","replies":[]}]},{"poster":"Fleamclow","date":"2017-05-16T17:14:48.879+0000","up_votes":1,"down_votes":0,"body":"when i try to log in just after hitting sign in button. how do i add screenshot ?\n","replies":[{"poster":"Porocles","date":"2017-05-16T17:21:40.554+0000","up_votes":1,"down_votes":0,"body":"That actually helps a lot, thank you! In this case, it sounds like your network is failing to reach the authentication servers, so it's never able to actually grab your credentials. You'll want to go through the steps in the [connection issues](https://support.riotgames.com/hc/en-us/articles/201752664-Troubleshooting-Connection-Issues) guide to help remove any blocks while trying to get in. Hope that helps!","replies":[{"poster":"Fleamclow","date":"2017-05-16T17:26:28.051+0000","up_votes":1,"down_votes":0,"body":"i already did all of those","replies":[{"poster":"Porocles","date":"2017-05-16T17:35:01.106+0000","up_votes":1,"down_votes":0,"body":"In that case, download the [hextech repair tool](https://support.riotgames.com/hc/en-us/articles/224826367) to grab some logs and attach them to a [support ticket](https://support.riotgames.com/hc/en-us/requests/new). Our tech team can work wit hyou individually to get this figured out. We'll get back to you as soon as we can.","replies":[{"poster":"Fleamclow","date":"2017-05-16T17:38:40.660+0000","up_votes":1,"down_votes":0,"body":"i did send ticket already please just check it. REQUEST #30300731","replies":[]}]}]}]}]},{"poster":"SadBoy89","date":"2017-06-06T11:49:46.176+0000","up_votes":1,"down_votes":1,"body":"i know how to fix this error. it works for me. \ngo to https://www.hotspotshield.com/ and download it and it will fix this error.\nShare this with to help more players!","replies":[]}]} |
{"poster":"Galozi","date":"2015-09-03T12:02:02.629+0000","title":"Ich wurde wieder für 14 tage gebannt! Ohne Grund!","subforum":"Spielerverhalten & Moderation","up_votes":1,"down_votes":17,"body":"ciao","replies":[{"poster":"Humpelstilzche","date":"2015-09-03T12:13:35.147+0000","up_votes":12,"down_votes":0,"body":"Du hast:\n\n* Mitspieler als salty kids beleidigt\n* Mitspielern mit Reports gedroht\n* Mitspieler trash genannt\n* Mitspieler als asshole bezeichnet\n* Mitspieler geblamed\n* Mitspielern gesagt sie sucken\n* Mitspieler als noob beleidigt\n\nIn welchem Universum ist das bitte \"komplett ohne Grund\"? Das ist unglaublich toxic. No offense, aber das muss einfach mal gesagt werden: Du bist genau die Art von Spieler die wirklich keiner im Team haben will. Nur rummeckern, beschuldigen und flamen. Du bist die Art von Spieler die LoL den Ruf einen schlechten Community gebracht haben. Dass du ernsthaft denkst du hättest nichts gemacht ist erschreckend. Wie kannst du das nicht sehen? Ich meine du hast mehrfach deine Mitspieler beleidigt! Das kannst du doch unmöglich übersehen, what the hell!\n\n> Ich erkenne meines Erachtens keine feindseelige Beleidigung in diesem Spiel\n\nErnsthaft? Come on...du weißt, dass das Bullshit ist. Ich meine, du kannst doch lesen, oder? Du kannst haarklein nachlesen wie du deine Mitspieler beleidigt hast. Wie kannst du das nicht sehen? Sorry, aber für dafür hab ich null Verständnis. ","replies":[{"poster":"Galozi","date":"2015-09-03T12:19:30.930+0000","up_votes":1,"down_votes":5,"body":"Ich verstehe dennoch nicht, dass man so schnell gebannt wird. Du hast sogar im letzten Thread mir geschrieben, dass ich zu Unschuld gebannt wurde. Nun habe ich ein einziges Mal geflamed und gleich werde ich gebannt.","replies":[{"poster":"Humpelstilzche","date":"2015-09-03T12:27:20.708+0000","up_votes":2,"down_votes":0,"body":"> Du hast sogar im letzten Thread mir geschrieben, dass ich zu Unschuld gebannt wurde\n\nHab ich nicht. Ich habe es als eine von zwei Möglichkeiten dargestellt. Ich weiß aber welche dieser zwei Möglichkeiten korrekt war, insofern...naja. \n\n> Nun habe ich ein einziges Mal geflamed und gleich werde ich gebannt.\n\nNunja, so funktioniert das eben. Nachdem für einige Leute die Aussage \"Flaming ist verboten\" scheinbar zu kompliziert war, wird jetzt eben eine sehr deutliche Sprache gesprochen die eigentlich jeder verstehen sollte. Und du weißt genauso gut wie ich, dass es keinesfalls das erste Mal war. \n\nWas mich aber noch interessieren würde: Wie ist dein Ticket von damals weitergegangen?","replies":[{"poster":"Galozi","date":"2015-09-03T12:32:36.158+0000","up_votes":1,"down_votes":4,"body":"Naja..\nIch werd mich erstmal von LoL distanzieren. Bald sind die Ferien sowieso vorüber und das Abijahr fängt an.\n\nZu deinem Vorwurf: Nein es ist nicht das 1. Mal, das ich flame. Sicherlich hat jeder von uns schon geflamed. Wie auch immer: Ich habe mich versucht, nach dem letzten Bann zu verbessern.. Was heißt verbessern.. ich hab den Chat nicht mehr wirklich benutzt. Auch nie kam eine Anzeige, dass ich reported wurde. Eigentlich lief alles schön und gut. WIe gesagt überrascht mich das ganze..\n\nMein Ticket? :D\nDas wurde straight ignoriert! Die wussten, dass da was nicht stimmt. Nichts ist passiert. Ich habe sogar nach dem Bann noch versucht die Sache zu klären. Es hat nicht gebracht","replies":[{"poster":"Humpelstilzche","date":"2015-09-03T12:35:11.239+0000","up_votes":5,"down_votes":0,"body":"> Sicherlich hat jeder von uns schon geflamed.\n\nDas glauben die meisten Flamer, ist aber weit von der Realität entfernt. Die überwältigende Mehrheit der Spieler flamet NIE.","replies":[{"poster":"Galozi","date":"2015-09-03T12:40:06.491+0000","up_votes":1,"down_votes":2,"body":"Komisch, dass ich dann fasst in jedem Spiel einen habe ^^\nUnd wenn nicht, dann ist ein Flamer meistens im Gegnerteam, vor allem, wenn sie verlieren.\nLeague of Legends ist ein kompetitives Spiel. Viele nehmen das Spiel ernst und deswegen flamen auch viele. Jemand, dem das zu viel ist sollte sich ein anderes Spiel suchen.\n\nbtw. woher weißt du denn, dass so viele spieler nicht flamen. Gibts da Statistiken?\n\nAußerdem werde ich hier wie so ein Untermensch behandelt. Klingt hart, ist aber so. Ich bin böse, der Satan wird mich holen, weil ich geflamed habe..","replies":[{"poster":"Humpelstilzche","date":"2015-09-03T12:55:03.545+0000","up_votes":5,"down_votes":0,"body":"> Komisch, dass ich dann fasst in jedem Spiel einen habe ^^\n\nDa ist nichts komisch dran. Jedes Spiel hat 10 Spieler, nicht nur einen. Und die Tatsache dass du ja selber recht toxisch bist (als Gebannter gehörst du zu den toxischsten 2%), trägt natürlich beträchtlich zu Toxicity in deinen Spielen bei. Flamer begegnen tatsächlich viel häufiger anderen Flamern...weil sie sie verursachen. \n\n> btw. woher weißt du denn, dass so viele spieler nicht flamen. Gibts da Statistiken?\n\nHaufenweise, ja. Ich hab über das Thema auch meinen Bachelor geschrieben, insofern kenn ich mich da ein wenig aus. Riot veröffentlicht diesbezüglich aber auch sehr viel und ist allgemein extrem offen mit diesen Daten, arbeitet mit Universitäten usw zusammen. Ein superinteressantes Thema!\n\n> Außerdem werde ich hier wie so ein Untermensch behandelt. Klingt hart, ist aber so. Ich bin böse, der Satan wird mich holen, weil ich geflamed habe..\n\nIch gehe bei meinen Posts immer sehr strategisch vor. Der Grund warum ich jeden Tag in diesem Forum bin ist, dass ich gerne Leuten helfe. Nicht aus selbstlosen Gründen, sondern schlicht und einfach weil es mir Spaß macht. \nViele Spieler hier im Forum schildern ihr Verhalten relativ wahrheitsgemäß, aber suchen nach Rechtfertigung.... die typischen \"Ja ich hab geflamet, aber...\"-Posts. Diesen Leuten kann man sehr gut helfen, indem man ihnen erklärt dass alle ihre Situation verstehen (Frustration in LoL), sie nur lernen müssen besser damit umzugehen und die \"aber-Argumente\" nicht ziehen. Solche Threads sind meistes relativ freundlich gehalten. \nBei dir (und einigen anderen) ist das jedoch anders, denn du hast ja schlicht behauptet komplett schuldfrei zu sein, was einfach glatt gelogen ist. Und da hilft dann kein gutes Zureden, da hilft nur Tacheless reden und überdeutlich machen was Sache ist. Wie soll ich dir helfen dein Verhalten zu bessern, wenn du dich selbst und uns belügst und behauptest unschuldig zu sein? Um dein Verhalten bessern, musst du erstmal realisieren dass es nicht ok ist. \nDaher der generelle \"Du bist ein Flamer, keiner mag dich\"-Tonfall. \n\nDu bist weder ein Untermensch noch bist du Satan. Und ja, es gibt sicherlich Spieler die sind noch viel schlimmer als du, kein Zweifel. Aber wie soll man dir helfen, wenn du dich als Unschuldslamm darstellst? Da muss man dich dann halt einfach erstmal auf den Boden der Tatsachen zurückholen bevor man irgendwie weitermachen kann. Und die Tatsache ist eben, dass du ein Flamer bist, und zwar schon einer der heftigeren. Es hilft nichts da drum rum zu reden. \n\nInsofern: Mein Ziel ist nach wie vor dir zu helfen. Das geht aber halt nicht, solange du nicht mal merkst, dass es ein Problem mit deinem Verhalten gibt.","replies":[{"poster":"MadWurstBrötchen","date":"2015-09-03T13:06:55.544+0000","up_votes":1,"down_votes":0,"body":"Kann man sich die Bachelor arbeit irgendwo ansehen?\nFinde das Thema auch super interessant.\nHabe vor kurzem erst eine von einem freund gelesen und war super spannend.","replies":[]},{"poster":"Galozi","date":"2015-09-03T12:59:53.342+0000","up_votes":1,"down_votes":2,"body":"\"Daher der generelle \"Du bist ein Flamer, keiner mag dich\"-Tonfall.\"\n\nDas ist der Shit. Danke!\nMir reicht es auch hier. Danke für deine Hilfe. Hat mich unglaublich weit gebracht. \nCiao","replies":[]}]}]},{"poster":"Galozi","date":"2015-09-03T12:38:54.610+0000","up_votes":1,"down_votes":5,"body":"Komisch, dass ich dann fasst in jedem Spiel einen habe ^^\nUnd wenn nicht, dann ist ein Flamer meistens im Gegnerteam, vor allem, wenn sie verlieren.\nLeague of Legends ist ein kompetitives Spiel. Viele nehmen das Spiel ernst und deswegen flamen auch viele. Jemand, dem das zu viel ist sollte sich ein anderes Spiel suchen.\n\nbtw. woher weißt du denn, dass so viele spieler nicht flamen. Gibts da Statistiken?","replies":[{"poster":"hshtagniemehrcdu","date":"2015-09-03T13:01:01.987+0000","up_votes":3,"down_votes":0,"body":"> [{quoted}](name=Galozi,realm=EUW,application-id=KYnfKGf0,discussion-id=AbRsZ28n,comment-id=000200000003000000000000,timestamp=2015-09-03T12:38:54.610+0000)\n>\n> Komisch, dass ich dann fasst in jedem Spiel einen habe ^^\n> Und wenn nicht, dann ist ein Flamer meistens im Gegnerteam, vor allem, wenn sie verlieren.\n> League of Legends ist ein kompetitives Spiel. Viele nehmen das Spiel ernst und deswegen flamen auch viele. Jemand, dem das zu viel ist sollte sich ein anderes Spiel suchen.\n> \n> btw. woher weißt du denn, dass so viele spieler nicht flamen. Gibts da Statistiken?\n\nDass du in jedem Spiel Flamer hast, glaube ich dir gern.\nDas liegt daran, dass du mit deinem Verhalten diesen Flame überhaupt erst auslöst.\n\nAls Beispiel: Ich hatte vor ein paar Tagen ein Spiel, in welchem unser Jungler es ordentlich versaut hat.\nGut 30 Minuten ging es komplett ohne Flame, dann meinte irgendein ****, im All-Chat nach Reports fragen zu müssen.\nZack, ging der Flame-War los.\n\nWundert es dich echt, dass Leute bei deinem Verhalten zurückflamen?","replies":[]}]}]}]}]},{"poster":"Commandant Mewtu","date":"2015-09-03T12:21:35.594+0000","up_votes":2,"down_votes":1,"body":"Sie könnten dich schon für den begriff \"noob\" bannen","replies":[{"poster":"Galozi","date":"2015-09-03T12:23:57.490+0000","up_votes":1,"down_votes":5,"body":"Für den Begriff \"noob\"? Ich sollte mir ernsthaft ein neues Spiel zulegen. Es gibt kein einziges Multiplayer Spiel, dass so unglaublich oft Banns verteilt. Den Begriff \"noob\" kategorisiere ich nicht einmal in eine Beleidigung...","replies":[{"poster":"Humpelstilzche","date":"2015-09-03T12:41:28.498+0000","up_votes":6,"down_votes":0,"body":"> Ich sollte mir ernsthaft ein neues Spiel zulegen.\n\nDas ist vielleicht tatsächlich die beste Lösung für alle Beteiligten.","replies":[{"poster":"Galozi","date":"2015-09-03T12:48:23.994+0000","up_votes":6,"down_votes":6,"body":"Nun denn. \nIch danke dir und den Anderen hier für... uhm die Downvotes ^^\nNunja ich danke vor allem dir Humpel, dass du dich mit mir als Untermensch abgibst. \nVielleicht werde ich irgendwann zurück kommen und die Kluft terrorisieren mit meinen Attacken. ^^\n\nNe im Ernst. Du machst nen guten Job hier. Ich schau ab und zu mal durchs Forum und dich findet man immer. GJ\nNaja. Wir werden und vermutlich nie wieder schreiben ^^\nVorallem im 1. Thread hast du mir sehr geholfen. Ich denke es ist gut, dass es Leute wie dich gibt. \n\nSchönen Tag noch. \nPS: Bitte downvoten (macht mich geil) ^^ \n\nCiao","replies":[]}]},{"poster":"Ashuna","date":"2015-09-03T12:31:03.653+0000","up_votes":4,"down_votes":0,"body":"Du Noob hast doch keine Ahnung.\n\nHört sich toll an oder? ;-)\n\n>Es gibt kein einziges Multiplayer Spiel, dass so unglaublich oft Banns verteilt.\n\nDarum gibt es auch in vielen anderen Spielen wesendlich mehr \"Kids\". Und das kommt dir nur so vor da die Community einfach Riesig ist. \n\n>Ich sollte mir ernsthaft ein neues Spiel zulegen.\n\nViel Spaß dabei. Keiner wird dich aufhalten.\n\nmfg Ashuna {{champion:1}}","replies":[{"poster":"Commandant Mewtu","date":"2015-09-03T12:34:12.393+0000","up_votes":1,"down_votes":2,"body":"Ashuna !!! \n\nWenn ich dich im spiel sehe \n\n- Report is out :D","replies":[{"poster":"Ashuna","date":"2015-09-03T12:36:38.425+0000","up_votes":1,"down_votes":0,"body":"Viel Spaß dabei.\n\nmfg Ashuna {{champion:1}}","replies":[{"poster":"Commandant Mewtu","date":"2015-09-03T12:48:20.741+0000","up_votes":1,"down_votes":1,"body":"danke dir :-D","replies":[]}]}]}]}]}]},{"poster":"Commandant Mewtu","date":"2015-09-03T12:21:00.226+0000","up_votes":1,"down_votes":0,"body":"Wie gesagt sie haben die strafen sehr erhöht und es läuft mit über ein System wenn ich mich nicht täusche","replies":[]},{"poster":"A Dragons Heart","date":"2015-09-03T12:20:53.193+0000","up_votes":1,"down_votes":0,"body":"Ein einziges Mal ? EIN EINZIGES MAL ? Hast du sie noch alle ?","replies":[]}]},{"poster":"Commandant Mewtu","date":"2015-09-03T12:19:37.673+0000","up_votes":1,"down_votes":0,"body":"Hallo erstmal!\n\nIch weiß es passt hier grade nicht ganz rein aber gab es nicht mal ein Tribunal wo Spieler mit entscheiden konnten?\nes wurde doch abgeschaltet wann ist das wieder aktiv?","replies":[{"poster":"Humpelstilzche","date":"2015-09-03T12:31:28.554+0000","up_votes":3,"down_votes":0,"body":"Das momentante System trägt nach wie vor den Namen \"Tribunal\", ist also technisch gesehen noch vorhanden. Das von dir angesprochene Voting-System gibt es jedoch nicht mehr. Es wird aber in ziemlich abgewandelter Form zurückkehren (vermutlich gegen Ende 2015/Anfang 2016). Das Tribunal wird jedoch seine Rolle als \"großer Bestrafer\" verlieren, denn es werden auch neutrale und positive Fälle im Tribunal Voting System landen, die dann von den Tribunen als solche beurteilt werden können.","replies":[{"poster":"Commandant Mewtu","date":"2015-09-03T12:37:23.088+0000","up_votes":1,"down_votes":1,"body":"Vielen dank als ich vor einem jahr ticket geschrieben habe kam die antwort guck im Forum nach. hab aber da nichts gefunden daher habe ich mich gewundert ^^","replies":[]}]},{"poster":"Galozi","date":"2015-09-03T12:24:55.076+0000","up_votes":1,"down_votes":1,"body":"es wurde abgeschaltet. Siehe mein 2. Link zu meinem 1. 14-Tage Bann","replies":[{"poster":"Commandant Mewtu","date":"2015-09-03T12:27:38.737+0000","up_votes":1,"down_votes":0,"body":"warum entfernen die den Button Tribunal dann nicht wenn es nicht wiederkommt?","replies":[{"poster":"Humpelstilzche","date":"2015-09-03T12:37:23.761+0000","up_votes":1,"down_votes":0,"body":"Es kommt doch wieder, lies meinen Post -.-","replies":[{"poster":"Commandant Mewtu","date":"2015-09-03T12:37:59.203+0000","up_votes":1,"down_votes":0,"body":"sry grade erst gesehen^^","replies":[]}]}]}]}]}]},{"poster":"A Dragons Heart","date":"2015-09-03T12:11:46.357+0000","up_votes":1,"down_votes":0,"body":"Warum zur Hölle verweist du auf andere Leute ? Willst du DEINEN Bann diskutieren oder nicht ? Du hast unglaublichen Mist geschrieben, der Bann ist also absolut gerechtfertigt!\nMfG","replies":[{"poster":"Galozi","date":"2015-09-03T12:15:33.893+0000","up_votes":1,"down_votes":3,"body":"Hmm. Das Problem ist, dass nicht der gesamte Chat geschildert wird, das heißt nicht von den Mitspielern geschriebener Text gezeigt wird.","replies":[{"poster":"Humpelstilzche","date":"2015-09-03T12:19:58.764+0000","up_votes":3,"down_votes":0,"body":"Es geht ja schließlich auch um dich, nicht um die anderen. Wenn die anderen sich daneben benommen haben, haben sie ihre eigenen Chatlogs wo dann wiederum dein Chat fehlt, weil er für diese Leute komplett unwichtig ist. \n\nDU hast geflamed, völlig unabhängig davon was deine Mitspieler so gemacht haben. Vlt haben sie sich scheiße verhalten, gut möglich. Wenn du das sagst dann glaub ich dir das. Das ändert aber absolut garnichts daran, dass auch du dich schlecht verhalten hast...und genau dafür wurdest du bestraft. Und damit weißt für was genau, sind eben DEINE Chatlogs dabei (du sollst ja auch DEIN Verhalten ändern, nicht das der Anderen).","replies":[]},{"poster":"SwissKeks","date":"2015-09-03T12:16:25.822+0000","up_votes":2,"down_votes":0,"body":"> [{quoted}](name=Galozi,realm=EUW,application-id=KYnfKGf0,discussion-id=AbRsZ28n,comment-id=00010000,timestamp=2015-09-03T12:15:33.893+0000)\n>\n> Hmm. Das Problem ist, dass nicht der gesamte Chat geschildert wird, das heißt nicht von den Mitpspielern geschriebener Text gezeigt wird.\n\nIst auch komplett egal, es geht hier um dich.\nHumpel hat es sehr schön für dich zusammengefasst. Entweder du änderst dich oder der Perma ist nicht weit.","replies":[]}]}]},{"poster":"SwissKeks","date":"2015-09-03T12:05:01.265+0000","up_votes":3,"down_votes":1,"body":"> salty\n> morgana\n> pls\n> play\n> oh pls\n> man\n> now adc is afk\n> gj morgana\n> youre a kid\n> like morgana\n> -.-\n> wow\n> these salty kids\n> ye\n> both are trash\n> both are reported\n> fod\n> i think they want to lose...\n> and it pisses me off\n> nah\n> ill muted\n> both\n> lets win\n> trist is not even learning for her exam\n> shes just jumping around\n> lol\n> this kid\n> because of ONE KILL\n> you throw the game\n> god you have to be an asshole\n> idc\n> its lost becaus of bot\n> good that im recording\n> well\n> i won a 4 v5\n> but never a 3v5\n> -.-\n> god\n> this attitude\n\n\nMerkst du was?","replies":[{"poster":"Galozi","date":"2015-09-03T12:06:42.406+0000","up_votes":1,"down_votes":1,"body":"Ich weiß, dass ich mich nicht gut ausgedrückt habe. Dennoch: DAS reicht für einen 14 Tage Bann?","replies":[{"poster":"Commandant Mewtu","date":"2015-09-03T12:09:26.119+0000","up_votes":1,"down_votes":0,"body":"Guten tag!\n\nJA es reicht für einen 14 tage bann. Es reicht auch schon wenn du nur einmal beleidigst können sie dir einen bann aussprechen. Sie haben die Strafmaßnahmen deutlich seit den letzten 2 patches erhöht. \n\nmit freundlichen grüßen\n\nCommandant Mewtu","replies":[{"poster":"Galozi","date":"2015-09-03T12:10:36.705+0000","up_votes":1,"down_votes":2,"body":"Und was ist mit der Morgana, die mich auf übelste Beleidigte, sagte, dass ich Krebs bekommen soll und mich von einer Brücke werfen soll? Wie soll ich dann darauf reagieren?","replies":[{"poster":"Commandant Mewtu","date":"2015-09-03T12:12:44.873+0000","up_votes":1,"down_votes":1,"body":"Reporten und nichts dagegen schreiben!\n\ndas ist mit der grund warum Riot die strafen extrem erhöht hat.\nDu kannst einmal schreiben Report morgana für Beleidigung mehr aber auch nicht du kannst die auch stummen.\nAlles andere würde dich mit \"Strafbar\" machen","replies":[{"poster":"A Dragons Heart","date":"2015-09-03T12:14:40.633+0000","up_votes":2,"down_votes":0,"body":"Dich macht es schon strafbar, wenn du nur einmal \"Report Morgana\" schreibst!","replies":[]}]},{"poster":"A Dragons Heart","date":"2015-09-03T12:16:13.553+0000","up_votes":2,"down_votes":1,"body":"Wie wie sollst du darauf reagieren ? Was ist das für eine Frage ?\n\nWenn du in der Stadt bist und jemand beleidigt dich, rennst du dann auch direkt zu ihm hin und boxt ihn in die Fresse ?","replies":[{"poster":"Shiggyvara","date":"2015-09-03T12:18:57.375+0000","up_votes":1,"down_votes":0,"body":"> [{quoted}](name=FetteKuhMachtMuh,realm=EUW,application-id=KYnfKGf0,discussion-id=AbRsZ28n,comment-id=00000000000000000002,timestamp=2015-09-03T12:16:13.553+0000)\n>\n> Wie wie sollst du darauf reagieren ? Was ist das für eine Frage ?\n> \n> Wenn du in der Stadt bist und jemand beleidigt dich, rennst du dann auch direkt zu ihm hin und boxt ihn in die Fresse ?\n\nNö aber es kann durchaus vorkommen, dass man ein \"was soll der scheiß\" zurückgibt.","replies":[{"poster":"A Dragons Heart","date":"2015-09-03T12:22:08.936+0000","up_votes":2,"down_votes":1,"body":"Der Chatlog oben ist alles andere als ein \"Was soll der Scheiß\"! Aber etwas ganz ganz anderes!","replies":[]}]},{"poster":"Spicavius","date":"2015-09-03T13:14:55.788+0000","up_votes":1,"down_votes":0,"body":"Vergleiche mit dem Reallife sind total schlecht.\nBitte niemals sowas machen :/.\nDas endet immer in total dummen Diskussionen über nichts. ;)","replies":[{"poster":"A Dragons Heart","date":"2015-09-03T13:28:42.569+0000","up_votes":1,"down_votes":0,"body":"Da dürfest du Recht haben, ich wollte es ihm aber anhand eines Beispiels erklären.\nMfG","replies":[]}]}]},{"poster":"SwissKeks","date":"2015-09-03T12:11:29.578+0000","up_votes":1,"down_votes":0,"body":"> [{quoted}](name=Galozi,realm=EUW,application-id=KYnfKGf0,discussion-id=AbRsZ28n,comment-id=0000000000000000,timestamp=2015-09-03T12:10:36.705+0000)\n>\n> Und was ist mit der Morgana, die mich auf übelste Beleidigte, sagte, dass ich Krebs bekommen soll und mich von einer Brücke werfen soll? Wie soll ich dann darauf reagieren?\n\nmuten, gar nicht erst ankündigen sondern kommentarlos muten und danach reporten. Auch nicht zu reports aufrufen im /all chat.","replies":[{"poster":"Commandant Mewtu","date":"2015-09-03T12:14:41.242+0000","up_votes":1,"down_votes":0,"body":"ok da hast du recht","replies":[]}]}]}]}]}]},{"poster":"BiillabonG","date":"2015-09-03T15:54:08.185+0000","up_votes":2,"down_votes":1,"body":"hmmm also du wurdest zu unrecht gebannt? Tell me more\ndu hättest so wie ich einfach noch krasser flamen und trollen müssen wenn man es richtig übertreibt sieht das system es als normal verhalten an und du bist sicher vor strafenn \n*sarkasmus off*","replies":[]},{"poster":"Kaitri","date":"2015-09-03T13:01:31.069+0000","up_votes":1,"down_votes":0,"body":"geilster satz \"this attitude\" lol.\nflamed seine mates wie sau und beschwert sich dann über ihre einstellung zum laufenden game","replies":[{"poster":"Galozi","date":"2015-09-03T13:04:05.134+0000","up_votes":1,"down_votes":2,"body":"während ich spielte, standen 3 im spawn und trollten. das war damit gemeint.","replies":[]}]},{"poster":"Abasin","date":"2015-09-03T12:44:29.864+0000","up_votes":1,"down_votes":0,"body":"Zieh eine Nummer und stell Dich hinten an.","replies":[{"poster":"Commandant Mewtu","date":"2015-09-03T12:47:06.474+0000","up_votes":1,"down_votes":1,"body":"zu wem sprichst du?","replies":[]}]}]} |
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{
"date": "09-06-2021 15:36:53",
"link": "https://de.wikipedia.org/wiki/Reuber%5F%28Film%29",
"title": "Reuber (Film)",
"category": "M\u00e4rchenfilm",
"text": "Die Geburtstagsfeier von Robby endet v\u00f6llig chaotisch, nachdem er mit seinem Vater und dessen Bruder drei Stunden zu sp\u00e4t und v\u00f6llig \u00fcberdreht nach Hause kommt. Als kleinen Ausgleich erz\u00e4hlt ihm sein Vater eine Gutenachtgeschichte:\nRobby soll auf seine kleine Schwester aufpassen, die jedoch nicht zu schreien aufh\u00f6rt. So l\u00e4sst er sie vor dem Supermarkt stehen und als er wieder herauskommt, ist sie verschwunden. Vor Angst l\u00e4uft er mit seinem Akkordeon in den Wald und beschlie\u00dft, R\u00e4uber zu werden.\nVor dem Wald trifft er Pauline Pilz, die sein Akkordeon haben m\u00f6chte, doch er kann sie austricksen und verschwindet im Wald. Dort trifft er zun\u00e4chst Stefan, den Zauberer, der ihm erkl\u00e4rt, er m\u00fcsse nur eine Nacht schlafen, um auf den R\u00e4uber zu treffen. \nRobby folgt den Anweisungen und tats\u00e4chlich trifft er am n\u00e4chsten Tag auf den R\u00e4uber, der ihn jedoch fortjagt. Stefan nimmt den Jungen unter seine Fittiche, gewinnt sein Vertrauen und l\u00e4sst ihn einen verheerenden Vertrag \u00fcber einen K\u00f6rpertausch unterschreiben. Stefan verspricht dem Jungen, dessen Schwester zu finden und zur\u00fcckzubringen. Doch der Vertrag enth\u00e4lt einiges an Kleingedrucktem. Stefan macht sich aus dem Staub und l\u00e4sst den Jungen ver\u00e4ngstigt zur\u00fcck.\nR\u00fcdiger Reuber hat jedoch die Lunte gerochen. Er nimmt Robby in die Lehre auf und bringt ihm bei, wie man ein richtiger R\u00e4uber wird. Gemeinsam klauen sie den Vertrag, m\u00fcssen jedoch feststellen, dass alles noch schlimmer ist: Der K\u00f6rpertausch wird bei Vollmond vollzogen und gilt f\u00fcr immer, au\u00dfer der R\u00e4uber verl\u00e4sst den Wald. Doch R\u00fcdiger weigert sich. Bei Vollmond verwandelt sich Stefan schlie\u00dflich wirklich in Robby und vice versa.\nR\u00fcdiger beschlie\u00dft, den Zauberer zur Rede zu stellen. Vor Ort stellt er fest, das Robbys Mutter ihm nicht glaubt. Die kleine Schwester ist l\u00e4ngst zur\u00fcck in der Familie. Zu seinem Entsetzen muss er auch feststellen, dass ihm Robbys Mutter nicht fremd ist. Es stellt sich heraus, das R\u00fcdiger Robbys Vater ist. Nach einigem Z\u00f6gern beschlie\u00dft er, f\u00fcr seinen Sohn den Wald zu verlassen. Damit ist der Bann gebrochen. Doch die erneut aufgeflammte Beziehung zwischen R\u00fcdiger und Robbys Mutter ist nicht von langer Dauer. \nBei einem Raubzug durch den \u00f6rtlichen Supermarkt wird er vom Kaufhausdetektiv erwischt, der sich als Stefan entpuppt. Die beiden beschlie\u00dfen, gemeinsam wieder in den Wald zu ziehen.\n"
} |
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"relationships": [
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"relationshipName": "agentBids",
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"otherEntityRelationshipName": "agent"
},
{
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"relationshipName": "elevatorBids",
"otherEntityName": "bid",
"otherEntityRelationshipName": "elevator"
},
{
"relationshipType": "one-to-many",
"relationshipName": "ownedBy",
"otherEntityName": "partner",
"otherEntityRelationshipName": "ownerFor"
},
{
"relationshipType": "many-to-one",
"relationshipName": "organisationType",
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{
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"relationshipName": "district",
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{
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"relationshipName": "region",
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{
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"relationshipName": "locality",
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{
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"relationshipName": "station",
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"otherEntityField": "code"
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"relationshipName": "contacts",
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{
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"relationshipName": "servicePrices",
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],
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},
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{
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{
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"fieldValues": "INCLUDED,EXCLUDED,BOTH"
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{"version":"1","windows":[{"projectRoots":["/home/archie/Cdeneme"]}]} |
{
"blocksUsed": "Số lượng khối đã dùng: %1",
"branches": "Chi nhánh/ các nhánh",
"catColour": "Màu sắc",
"catControl": "Vòng lặp",
"catMath": "thuật toán",
"catProcedures": "Các hàm",
"catTurtle": "hành động",
"catVariables": "Các biến",
"catLogic": "Logic",
"colourTooltip": "Thay đổi màu của cây bút chì.",
"createACircle": "tạo ra một hình tròn",
"createSnowflakeSquare": "tạo một bông tuyết hình vuông",
"createSnowflakeParallelogram": "tạo một bông tuyết hình bình hành",
"createSnowflakeLine": "tạo một bông tuyết kiểu đường thẳng",
"createSnowflakeSpiral": "tạo một bông tuyết kiểu xoắn ốc",
"createSnowflakeFlower": "tạo một bông tuyết kiểu hoa",
"createSnowflakeFractal": "tạo một bông tuyết của kiểu phân dạng",
"createSnowflakeRandom": "tạo một bông tuyếtdạng ngẫu nhiên",
"createASnowflakeBranch": "tạo ra một nhánh bông tuyết",
"degrees": "độ",
"depth": "độ sâu/ chiều sâu",
"dots": "các điểm ảnh",
"drawASquare": "vẽ một hình vuông",
"drawATriangle": "vẽ một hình tam giác",
"drawACircle": "vẽ một hình tròn",
"drawAFlower": "vẽ một bông hoa",
"drawAHexagon": "vẽ một hình lục giác",
"drawAHouse": "vẽ một căn nhà",
"drawAPlanet": "hãy vẽ một hành tinh",
"drawARhombus": "vẽ một hình thoi",
"drawARobot": "vẽ một con robot",
"drawARocket": "vẽ một quả tên lửa",
"drawASnowflake": "vẽ một bông tuyết",
"drawASnowman": "vẽ một người tuyết",
"drawAStar": "vẽ một ngôi sao",
"drawATree": "vẽ một cái cây",
"drawUpperWave": "vẽ làn sóng nhấp nhô cao",
"drawLowerWave": "vẽ làn sóng nhấp nhô thấp",
"drawStamp": "vẽ con dấu",
"heightParameter": "chiều cao",
"hideTurtle": "ẩn nghệ sĩ",
"jump": "nhảy",
"jumpBackward": "di chuyển bút lui về mà không ghi",
"jumpForward": "di chuyển tới trước (mà không ghi)",
"jumpTooltip": "di chuyển nghệ sĩ mà không để lại bất kì dấu gì.",
"jumpEastTooltip": "Di chuyển về phía đông nghệ sĩ mà không để lại bất cứ dấu hiệu nào.",
"jumpNorthTooltip": "Di chuyển về phía bắc nghệ sĩ mà không để lại bất cứ dấu hiệu nào.",
"jumpSouthTooltip": "Di chuyển về phía nam nghệ sĩ mà không để lại bất cứ dấu hiệu nào.",
"jumpWestTooltip": "Di chuyển về phía tây nghệ sĩ mà không để lại bất cứ dấu hiệu nào.",
"lengthFeedback": "Bạn đã làm đúng ngoại trừ độ dài dịch chuyển",
"lengthParameter": "chiều dài",
"loopVariable": "biến đếm",
"moveBackward": "di chuyển lui về",
"moveEastTooltip": "Di chuyển nghệ sĩ đông.",
"moveForward": "di chuyển tới trước",
"moveForwardTooltip": "di chuyển nghệ sĩ tới trước.",
"moveNorthTooltip": "Di chuyển nghệ sĩ bắc.",
"moveSouthTooltip": "Di chuyển nghệ sĩ nam.",
"moveWestTooltip": "Di chuyển nghệ sĩ tây.",
"moveTooltip": "Di chuyển nghệ sĩ tới trước hay lùi về một khoản nhất định.",
"notBlackColour": "Bạn cần chỉnh màu khác ngoại trừ màu đen cho bài này.",
"numBlocksNeeded": "Câu đố này có thể được giải quyết với khối %1. Bạn sử dụng khối %2.",
"penDown": "bỏ bút xuống",
"penTooltip": "nâng lên hay hạ bút xuống, để bắt đầu và ngừng vẽ.",
"penUp": "nâng bút lên",
"reinfFeedbackMsg": "Đây là bản vẽ của bạn! Tiếp tục làm việc trên nó hoặc tiếp tục câu đố tiếp theo.",
"setColour": "chỉnh màu",
"setPattern": "thiết lập thiết kế mẫu",
"setWidth": "chỉnh độ rộng",
"shareDrawing": "Chia sẻ bản vẽ của bạn:",
"showMe": "cho tôi thấy",
"showTurtle": "hiển thị nghệ sĩ",
"sizeParameter": "size",
"step": "bước/ từng bước",
"tooFewColours": "Bạn phải sử dụng ít nhất %1 màu khác nhau ở câu đố này. Bạn mới chỉ sử dụng %2 màu.",
"turnLeft": "rẽ trái (độ)",
"turnRight": "rẽ phải (độ)",
"turnRightTooltip": "rẽ nghệ sĩ về bên phải một góc nhất định.",
"turnTooltip": "rẽ nghệ sĩ về bên phải hay bên trái một góc nhất định.",
"turtleVisibilityTooltip": "Làm ẩn hoặc hiện họa sĩ.",
"widthTooltip": "thay đổi độ rộng của cây bút chì.",
"wrongColour": "Bức hình của bạn bị sai màu. Cho bài này, cần phải là"
} |
{
"5 meie": "May 5",
"18 juni": "June 18",
"Italiën": "Italy",
"1813": "1813",
"België": "Belgium",
"20 meert": "March 20",
"Frankriek": "France",
"6 april": "April 6",
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"West-Europa": "Western Europe",
"11 november": "November 11",
"Centraol-Europa": "Central Europe",
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} |
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OTD-000194\tGSMCMPCFTTDHQMARKCDDCCGGKGRGKCYGPQCLCR\tVCR020\t\t\t\nTST0005460\tTST0005460\tVAR0005368\tOTD-000313\tGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005476\tTST0005476\tVAR0005386\tTat_TB1G2\tGSGRKKRRQRRRGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005477\tTST0005477\tVAR0005387\tCysTat_TB1G2\tGSCYRKKRRQRRRGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005478\tTST0005478\tVAR0005388\tS19-Tat_TB1G2\tGSPFVIGAGVLGALGTGIGGIGRKKRRQRRRGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005479\tTST0005479\tVAR0005389\tPas-Tat_TB1G2\tGSFFLIPKGGRKKRRQRRRGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005480\tTST0005480\tVAR0005390\tR8_TB1G2\tGSRRRRRRRRGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005481\tTST0005481\tVAR0005391\tPas-R8_TB1G2\tGSFFLIPKGRRRRRRRRGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005482\tTST0005482\tVAR0005392\tpAntp_TB1G2\tGSRQIKIWFQNRRMKWKKGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005483\tTST0005483\tVAR0005393\tPas-pAntp_TB1G2\tGSFFLIPKGRQIKIWFQNRRMKWKKGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005484\tTST0005484\tVAR0005394\tPas-FHV_TB1G2\tGSFFLIPKGRRRRNRTRRNRRRVRGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005485\tTST0005485\tVAR0005395\tMCa(1-9)_TB1G2\tGSGDALPHLKLGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005486\tTST0005486\tVAR0005396\tImp(1-9)_TB1G2\tGSGDALPHLKRGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005487\tTST0005487\tVAR0005397\tHad(1-11)_TB1G2\tGSSEKDAIKHLQRGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005488\tTST0005488\tVAR0005398\tHad(3-11)_TB1G2\tGSKDAIKHLQRGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005489\tTST0005489\tVAR0005399\tybbR_TB1G2\tGSVLDSLEFIASKLGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005490\tTST0005490\tVAR0005400\tQ15(F2R4)_TB1G2\tGSPDEYIERAKECCKKFFRRRRDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005491\tTST0005491\tVAR0005401\tCTX_TEAD_EYE\tGSMCMPCDTTDHLMALFCDGCCGNSGRGKCYGPQCLCR\tVCR020\t\t\t\nTST0005492\tTST0005492\tVAR0005402\tB55_TB1G2\tGSKAVLGATKIDLPVDINDPYDLGLLLRHLRHHSNLLANIGDPAVREQVLSAMQEEEGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005493\tTST0005493\tVAR0005403\tazu_TB1G2\tGSLSTAADMQGVVTDGMASGLDKDYLKPDDGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005494\tTST0005494\tVAR0005404\tIMT-P8_TB1G2\tGSRRWRRWNRFNRRRCRGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005495\tTST0005495\tVAR0005405\tBR2_TB1G2\tGSRAGLQFPVGRLLRRLLRGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005496\tTST0005496\tVAR0005406\tOMOTAG1_TB1G2\tGSKRAHHNALERKRRGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005497\tTST0005497\tVAR0005407\tOMOTAG2_TB1G2\tRRMKANARERNRMGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005498\tTST0005498\tVAR0005408\tpVEC_TB1G2\tGSLLIILRRRIRKQAHAHSKGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005499\tTST0005499\tVAR0005409\tSynB3_TB1G2\tGSRRLSYSRRRFGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005500\tTST0005500\tVAR0005410\tDPV1047_TB1G2\tGSVKRGLKLRHVRPRVTRMDVGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005501\tTST0005501\tVAR0005411\tC105Y_TB1G2\tGSCSIPPEVKFNKPFVYLIGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005502\tTST0005502\tVAR0005412\tTransportan_TB1G2\tGSGWTLNSAGYLLGKINLKALAALAKKILGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005503\tTST0005503\tVAR0005413\tMTS_TB1G2\tGSKGEGAAVLLPVLLAAPGGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005504\tTST0005504\tVAR0005414\tCtx-GS-TB1G2\tGSMCMPCFTTDHQMARKCDDCCGGKGRGKCYGPQCLCRGGGSGGGSGGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005505\tTST0005505\tVAR0005415\tCtx-DkTx-TB1G2\tGSMCMPCFTTDHQMARKCDDCCGGKGRGKCYGPQCLCRKKYKPYVPVTTNPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005506\tTST0005506\tVAR0005416\tCtx-hIgG3-TB1G2\tGSMCMPCFTTDHQMARKCDDCCGGKGRGKCYGPQCLCREPKSSDKTHTPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005507\tTST0005507\tVAR0005417\tMCa-GS-TB1G2\tGSGDCLPHLKLCKENKDCCSKKCKRRGTNIEKRCRGGGSGGGSGGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005508\tTST0005508\tVAR0005418\tMCa-DkTx-TB1G2\tGSGDCLPHLKLCKENKDCCSKKCKRRGTNIEKRCRKKYKPYVPVTTNPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005509\tTST0005509\tVAR0005419\tMCa-hIgG3-TB1G2\tGSGDCLPHLKLCKENKDCCSKKCKRRGTNIEKRCREPKSSDKTHTPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005510\tTST0005510\tVAR0005420\tImp-GS-TB1G2\tGSGDCLPHLKRCKADNDCCGKKCKRRGTNAEKRCRGGGSGGGSGGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005511\tTST0005511\tVAR0005421\tImp-DkTx-TB1G2\tGSGDCLPHLKRCKADNDCCGKKCKRRGTNAEKRCRKKYKPYVPVTTNPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005512\tTST0005512\tVAR0005422\tImp-hIgG3-TB1G2\tGSGDCLPHLKRCKADNDCCGKKCKRRGTNAEKRCREPKSSDKTHTPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005513\tTST0005513\tVAR0005423\tHem-GS-TB1G2\tGSGDCLPHLKLCKADKDCCSKKCKRRGTNPEKRCRGGGSGGGSGGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005514\tTST0005514\tVAR0005424\tHem-DkTx-TB1G2\tGSGDCLPHLKLCKADKDCCSKKCKRRGTNPEKRCRKKYKPYVPVTTNPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005515\tTST0005515\tVAR0005425\tHem-hIgG3-TB1G2\tGSGDCLPHLKLCKADKDCCSKKCKRRGTNPEKRCREPKSSDKTHTPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005516\tTST0005516\tVAR0005426\tOpi1-GS-TB1G2\tGSGDCLPHLKRCKENNDCCSKKCKRRGTNPEKRCRGGGSGGGSGGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005517\tTST0005517\tVAR0005427\tOpi1-DkTx-TB1G2\tGSGDCLPHLKRCKENNDCCSKKCKRRGTNPEKRCRKKYKPYVPVTTNPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005518\tTST0005518\tVAR0005428\tOpi1-hIgG3-TB1G2\tGSGDCLPHLKRCKENNDCCSKKCKRRGTNPEKRCREPKSSDKTHTPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005519\tTST0005519\tVAR0005429\tOpi2-GS-TB1G2\tGSGDCLPHLKRCKENNDCCSKKCKRRGANPEKRCRGGGSGGGSGGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005520\tTST0005520\tVAR0005430\tOpi2-DkTx-TB1G2\tGSGDCLPHLKRCKENNDCCSKKCKRRGANPEKRCRKKYKPYVPVTTNPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005521\tTST0005521\tVAR0005431\tOpi2-hIgG3-TB1G2\tGSGDCLPHLKRCKENNDCCSKKCKRRGANPEKRCREPKSSDKTHTPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005522\tTST0005522\tVAR0005432\tHad-GS-TB1G2\tGSSEKDCIKHLQRCRENKDCCSKKCSRRGTNPEKRCRGGGSGGGSGGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005523\tTST0005523\tVAR0005433\tHad-DkTx-TB1G2\tGSSEKDCIKHLQRCRENKDCCSKKCSRRGTNPEKRCRKKYKPYVPVTTNPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005524\tTST0005524\tVAR0005434\tHad-hIgG3-TB1G2\tGSSEKDCIKHLQRCRENKDCCSKKCSRRGTNPEKRCREPKSSDKTHTPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005525\tTST0005525\tVAR0005435\tMK(62-104)-GS-TB1G2\tGSCKYKFENWGACDGGTGTKVRQGTLKKARYNAQCQETIRVTKPCGGGSGGGSGGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005526\tTST0005526\tVAR0005436\tMK(62-104)-DkTx-TB1G2\tGSCKYKFENWGACDGGTGTKVRQGTLKKARYNAQCQETIRVTKPCKKYKPYVPVTTNPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005527\tTST0005527\tVAR0005437\tMK(62-104)-hIgG3-TB1G2\tGSCKYKFENWGACDGGTGTKVRQGTLKKARYNAQCQETIRVTKPCEPKSSDKTHTPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005528\tTST0005528\tVAR0005438\tMCOTI-GS-TB1G2\tGSSGSDGGVCPKILKKCRRDSDCPGACICRGNGYCGGGGSGGGSGGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005529\tTST0005529\tVAR0005439\tMCOTI-DkTx-TB1G2\tGSSGSDGGVCPKILKKCRRDSDCPGACICRGNGYCGKKYKPYVPVTTNPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005530\tTST0005530\tVAR0005440\tMCOTI-hIgG3-TB1G2\tGSSGSDGGVCPKILKKCRRDSDCPGACICRGNGYCGEPKSSDKTHTPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005531\tTST0005531\tVAR0005441\tCTXgraft01\tGSMCMPCFSDDLFMRARCAKCCGGAGRGRCYGPQCLCR\tVCR020\t\t\t\nTST0005532\tTST0005532\tVAR0005442\tCTXgraft02\tGSMCMPCFSSDLFMRAKCQKCCGGAGRGKCYGPQCLCR\tVCR020\t\t\t\nTST0005533\tTST0005533\tVAR0005443\tCTXgraft03\tGSMCMPCFLFDSQMARRCDDCCGGRGRGECRGPQCLCR\tVCR020\t\t\t\nTST0005534\tTST0005534\tVAR0005444\tCTXgraft04\tGSMCMPCFLFDSQMARKCDDCCGGKGRGKCDGPQCLCR\tVCR020\t\t\t\nTST0005535\tTST0005535\tVAR0005445\tCTXgraft05\tGSMCMPCFTTDHQMARRCDDCCLFDGFGRCYGPQCLCV\tVCR020\t\t\t\nTST0005536\tTST0005536\tVAR0005446\tCTXgraft06\tGSMCMPCFTTDHQMARKCDDCCLFIGWGKCYGPQCLCK\tVCR020\t\t\t\nTST0005537\tTST0005537\tVAR0005447\tCTXgraft07\tGSMCEPCTTLFTDEANSCDACCGGRGRGRCYGPQCLCR\tVCR020\t\t\t\nTST0005538\tTST0005538\tVAR0005448\tCTXgraft08\tGSMCTPCWTLFQSIADLCDACCGGKGRGKCYGPQCLCR\tVCR020\t\t\t\nTST0005539\tTST0005539\tVAR0005449\tCTXgraft09\tGSMCMPCFTTDHQMARRCDDCCGGALFGRCYGPQCLCI\tVCR020\t\t\t\nTST0005540\tTST0005540\tVAR0005450\tCTXgraft10\tGSMCMPCFTTDHQMARKCDDCCGGALFGKCYGPQCLCI\tVCR020\t\t\t\nTST0005541\tTST0005541\tVAR0005451\tCTXgraft11\tGSMCMPCFTTDLTMQLFCEACCGGSGRGRCYGPQCLCR\tVCR020\t\t\t\nTST0005542\tTST0005542\tVAR0005452\tCTXgraft12\tGSMCMPCFTTDLTMQLFCEACCGGSGRGKCYGPQCLCR\tVCR020\t\t\t\nTST0005543\tTST0005543\tVAR0005453\tCTXgraft13\tGSMCVPCYTMLQDVAYLCWWCCGGKGRGKCYGPQCLCR\tVCR020\t\t\t\nTST0005544\tTST0005544\tVAR0005454\tCTXgraft14\tGSMCYPCFTTDHTMAMLCWQCCGGEGRGKCYGPQCLCR\tVCR020\t\t\t\nTST0005545\tTST0005545\tVAR0005455\tCTXgraft15\tGSMCSPCFTTDHTMAMLCQQCCGGYGRGRCYGPQCLCR\tVCR020\t\t\t\nTST0005546\tTST0005546\tVAR0005456\tMCOTIgraft01\tGSSGNLGGVCPKILKKCRNETDCPGACICFENGYCG\tVCR020\t\t\t\nTST0005547\tTST0005547\tVAR0005457\tMCOTIgraft02\tGSSGSDGGVCPKILKKCRRDSDCPGACICRLFGYCG\tVCR020\t\t\t\nTST0005548\tTST0005548\tVAR0005458\tMCOTIgraft03\tGSSGLFGGVCPKILKKCRTENDCPGACQCRGNGYCG\tVCR020\t\t\t\nTST0005549\tTST0005549\tVAR0005459\tMCOTIgraft04\tGSSGTDLFWCPKILKKCRRDSDCPGACICRGNGYCG\tVCR020\t\t\t\nTST0005550\tTST0005550\tVAR0005460\tMCOTIgraft05\tGSSGSDGGVCPLFIQKCRRDSDCPGACICRGNGYCG\tVCR020\t\t\t\nTST0005551\tTST0005551\tVAR0005461\tMCOTIgraft06\tGSSGSDGGVCPKILKECLFNSDCPGACICRGNGYCG\tVCR020\t\t\t\nTST0005552\tTST0005552\tVAR0005462\tMCOTIgraft07\tGSSGSDGGVCPMLFSRCRRDSDCPGACICRGNGFCG\tVCR020\t\t\t\nTST0005553\tTST0005553\tVAR0005463\tMCOTI\tSGSDGGVCPKILKKCRRDSDCPGACICRGNGYCG\tVCR020\t\t\t\nTST0005554\tTST0005554\tVAR0005464\tOpi2\tGDCLPHLKLCKENKDCCSKKCKRRGTNIEKRCR\tVCR020\t\t\t\nTST0005555\tTST0005555\tVAR0005465\tHem\tGDCLPHLKLCKADKDCCSKKCKRRGTNPEKRCR\tVCR020\t\t\t\nTST0005556\tTST0005556\tVAR0005466\tMca\tGDCLPHLKRCKENNDCCSKKCKRRGTNPEKRCR\tVCR020\t\t\t\nTST0005557\tTST0005557\tVAR0005467\tMK\tCKYKFENWGACDGGTGTKVRQGTLKKARYNAQCQETIRVTKPC\tVCR020\t\t\t\nTST0005645\tTST0005645\tVAR0005468\thLF_TB1G2\tGSKCFQWQRNMRKVRGPPVSCIKRGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005647\tTST0005647\tVAR0005469\tPFVYLI_TB1G2\tGSPFVYLIGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\n\u0027 is set on object \u0027Object Repository/Page_Import Sample Set OptidesCompo/textarea_data\u0027","description":"","startTime":1522259287987,"endTime":1522259387637,"childRecords":[{"testStatus":{"stackTrace":"","statusValue":"PASSED"},"type":"MESSAGE","name":"","message":"Text \u0027Name\tID\tParent ID\tAlternate Name\tAASeq\tVector\t\t\t\nTST0000013\tTST0000013\tVAR0000016\tOTD-000054\tGSSEKDCIKHLQRCRENKDCCSKKCSRRGTNPEKRCR\tVCR020\t\t\t\nTST0000026\tTST0000026\tVAR0000046\tOTD-000071\tGSGDCLPHLKRCKADNDCCGKKCKRRGTNAEKRCR\tVCR020\t\t\t\nTST0000037\tTST0000037\tVAR0000028\tOTD-000087\tGSGDCLPHLKRCKENNDCCSKKCKRRGANPEKRCR\tVCR020\t\t\t\nTST0001397\tTST0001397\tVAR0001397\tOTD-000035\tGSMCMPCFTTDHQMARRCDDCCGGRGRGRCYGPQCLCR\tVCR020\t\t\t\nTST0001463\tTST0001463\tVAR0001462\tCTX_WT, OTD-000194\tGSMCMPCFTTDHQMARKCDDCCGGKGRGKCYGPQCLCR\tVCR020\t\t\t\nTST0005460\tTST0005460\tVAR0005368\tOTD-000313\tGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005476\tTST0005476\tVAR0005386\tTat_TB1G2\tGSGRKKRRQRRRGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005477\tTST0005477\tVAR0005387\tCysTat_TB1G2\tGSCYRKKRRQRRRGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005478\tTST0005478\tVAR0005388\tS19-Tat_TB1G2\tGSPFVIGAGVLGALGTGIGGIGRKKRRQRRRGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005479\tTST0005479\tVAR0005389\tPas-Tat_TB1G2\tGSFFLIPKGGRKKRRQRRRGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005480\tTST0005480\tVAR0005390\tR8_TB1G2\tGSRRRRRRRRGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005481\tTST0005481\tVAR0005391\tPas-R8_TB1G2\tGSFFLIPKGRRRRRRRRGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005482\tTST0005482\tVAR0005392\tpAntp_TB1G2\tGSRQIKIWFQNRRMKWKKGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005483\tTST0005483\tVAR0005393\tPas-pAntp_TB1G2\tGSFFLIPKGRQIKIWFQNRRMKWKKGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005484\tTST0005484\tVAR0005394\tPas-FHV_TB1G2\tGSFFLIPKGRRRRNRTRRNRRRVRGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005485\tTST0005485\tVAR0005395\tMCa(1-9)_TB1G2\tGSGDALPHLKLGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005486\tTST0005486\tVAR0005396\tImp(1-9)_TB1G2\tGSGDALPHLKRGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005487\tTST0005487\tVAR0005397\tHad(1-11)_TB1G2\tGSSEKDAIKHLQRGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005488\tTST0005488\tVAR0005398\tHad(3-11)_TB1G2\tGSKDAIKHLQRGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005489\tTST0005489\tVAR0005399\tybbR_TB1G2\tGSVLDSLEFIASKLGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005490\tTST0005490\tVAR0005400\tQ15(F2R4)_TB1G2\tGSPDEYIERAKECCKKFFRRRRDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005491\tTST0005491\tVAR0005401\tCTX_TEAD_EYE\tGSMCMPCDTTDHLMALFCDGCCGNSGRGKCYGPQCLCR\tVCR020\t\t\t\nTST0005492\tTST0005492\tVAR0005402\tB55_TB1G2\tGSKAVLGATKIDLPVDINDPYDLGLLLRHLRHHSNLLANIGDPAVREQVLSAMQEEEGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005493\tTST0005493\tVAR0005403\tazu_TB1G2\tGSLSTAADMQGVVTDGMASGLDKDYLKPDDGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005494\tTST0005494\tVAR0005404\tIMT-P8_TB1G2\tGSRRWRRWNRFNRRRCRGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005495\tTST0005495\tVAR0005405\tBR2_TB1G2\tGSRAGLQFPVGRLLRRLLRGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005496\tTST0005496\tVAR0005406\tOMOTAG1_TB1G2\tGSKRAHHNALERKRRGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005497\tTST0005497\tVAR0005407\tOMOTAG2_TB1G2\tRRMKANARERNRMGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005498\tTST0005498\tVAR0005408\tpVEC_TB1G2\tGSLLIILRRRIRKQAHAHSKGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005499\tTST0005499\tVAR0005409\tSynB3_TB1G2\tGSRRLSYSRRRFGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005500\tTST0005500\tVAR0005410\tDPV1047_TB1G2\tGSVKRGLKLRHVRPRVTRMDVGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005501\tTST0005501\tVAR0005411\tC105Y_TB1G2\tGSCSIPPEVKFNKPFVYLIGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005502\tTST0005502\tVAR0005412\tTransportan_TB1G2\tGSGWTLNSAGYLLGKINLKALAALAKKILGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005503\tTST0005503\tVAR0005413\tMTS_TB1G2\tGSKGEGAAVLLPVLLAAPGGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005504\tTST0005504\tVAR0005414\tCtx-GS-TB1G2\tGSMCMPCFTTDHQMARKCDDCCGGKGRGKCYGPQCLCRGGGSGGGSGGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005505\tTST0005505\tVAR0005415\tCtx-DkTx-TB1G2\tGSMCMPCFTTDHQMARKCDDCCGGKGRGKCYGPQCLCRKKYKPYVPVTTNPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005506\tTST0005506\tVAR0005416\tCtx-hIgG3-TB1G2\tGSMCMPCFTTDHQMARKCDDCCGGKGRGKCYGPQCLCREPKSSDKTHTPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005507\tTST0005507\tVAR0005417\tMCa-GS-TB1G2\tGSGDCLPHLKLCKENKDCCSKKCKRRGTNIEKRCRGGGSGGGSGGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005508\tTST0005508\tVAR0005418\tMCa-DkTx-TB1G2\tGSGDCLPHLKLCKENKDCCSKKCKRRGTNIEKRCRKKYKPYVPVTTNPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005509\tTST0005509\tVAR0005419\tMCa-hIgG3-TB1G2\tGSGDCLPHLKLCKENKDCCSKKCKRRGTNIEKRCREPKSSDKTHTPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005510\tTST0005510\tVAR0005420\tImp-GS-TB1G2\tGSGDCLPHLKRCKADNDCCGKKCKRRGTNAEKRCRGGGSGGGSGGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005511\tTST0005511\tVAR0005421\tImp-DkTx-TB1G2\tGSGDCLPHLKRCKADNDCCGKKCKRRGTNAEKRCRKKYKPYVPVTTNPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005512\tTST0005512\tVAR0005422\tImp-hIgG3-TB1G2\tGSGDCLPHLKRCKADNDCCGKKCKRRGTNAEKRCREPKSSDKTHTPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005513\tTST0005513\tVAR0005423\tHem-GS-TB1G2\tGSGDCLPHLKLCKADKDCCSKKCKRRGTNPEKRCRGGGSGGGSGGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005514\tTST0005514\tVAR0005424\tHem-DkTx-TB1G2\tGSGDCLPHLKLCKADKDCCSKKCKRRGTNPEKRCRKKYKPYVPVTTNPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005515\tTST0005515\tVAR0005425\tHem-hIgG3-TB1G2\tGSGDCLPHLKLCKADKDCCSKKCKRRGTNPEKRCREPKSSDKTHTPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005516\tTST0005516\tVAR0005426\tOpi1-GS-TB1G2\tGSGDCLPHLKRCKENNDCCSKKCKRRGTNPEKRCRGGGSGGGSGGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005517\tTST0005517\tVAR0005427\tOpi1-DkTx-TB1G2\tGSGDCLPHLKRCKENNDCCSKKCKRRGTNPEKRCRKKYKPYVPVTTNPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005518\tTST0005518\tVAR0005428\tOpi1-hIgG3-TB1G2\tGSGDCLPHLKRCKENNDCCSKKCKRRGTNPEKRCREPKSSDKTHTPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005519\tTST0005519\tVAR0005429\tOpi2-GS-TB1G2\tGSGDCLPHLKRCKENNDCCSKKCKRRGANPEKRCRGGGSGGGSGGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005520\tTST0005520\tVAR0005430\tOpi2-DkTx-TB1G2\tGSGDCLPHLKRCKENNDCCSKKCKRRGANPEKRCRKKYKPYVPVTTNPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005521\tTST0005521\tVAR0005431\tOpi2-hIgG3-TB1G2\tGSGDCLPHLKRCKENNDCCSKKCKRRGANPEKRCREPKSSDKTHTPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005522\tTST0005522\tVAR0005432\tHad-GS-TB1G2\tGSSEKDCIKHLQRCRENKDCCSKKCSRRGTNPEKRCRGGGSGGGSGGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005523\tTST0005523\tVAR0005433\tHad-DkTx-TB1G2\tGSSEKDCIKHLQRCRENKDCCSKKCSRRGTNPEKRCRKKYKPYVPVTTNPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005524\tTST0005524\tVAR0005434\tHad-hIgG3-TB1G2\tGSSEKDCIKHLQRCRENKDCCSKKCSRRGTNPEKRCREPKSSDKTHTPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005525\tTST0005525\tVAR0005435\tMK(62-104)-GS-TB1G2\tGSCKYKFENWGACDGGTGTKVRQGTLKKARYNAQCQETIRVTKPCGGGSGGGSGGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005526\tTST0005526\tVAR0005436\tMK(62-104)-DkTx-TB1G2\tGSCKYKFENWGACDGGTGTKVRQGTLKKARYNAQCQETIRVTKPCKKYKPYVPVTTNPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005527\tTST0005527\tVAR0005437\tMK(62-104)-hIgG3-TB1G2\tGSCKYKFENWGACDGGTGTKVRQGTLKKARYNAQCQETIRVTKPCEPKSSDKTHTPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005528\tTST0005528\tVAR0005438\tMCOTI-GS-TB1G2\tGSSGSDGGVCPKILKKCRRDSDCPGACICRGNGYCGGGGSGGGSGGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005529\tTST0005529\tVAR0005439\tMCOTI-DkTx-TB1G2\tGSSGSDGGVCPKILKKCRRDSDCPGACICRGNGYCGKKYKPYVPVTTNPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005530\tTST0005530\tVAR0005440\tMCOTI-hIgG3-TB1G2\tGSSGSDGGVCPKILKKCRRDSDCPGACICRGNGYCGEPKSSDKTHTPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005531\tTST0005531\tVAR0005441\tCTXgraft01\tGSMCMPCFSDDLFMRARCAKCCGGAGRGRCYGPQCLCR\tVCR020\t\t\t\nTST0005532\tTST0005532\tVAR0005442\tCTXgraft02\tGSMCMPCFSSDLFMRAKCQKCCGGAGRGKCYGPQCLCR\tVCR020\t\t\t\nTST0005533\tTST0005533\tVAR0005443\tCTXgraft03\tGSMCMPCFLFDSQMARRCDDCCGGRGRGECRGPQCLCR\tVCR020\t\t\t\nTST0005534\tTST0005534\tVAR0005444\tCTXgraft04\tGSMCMPCFLFDSQMARKCDDCCGGKGRGKCDGPQCLCR\tVCR020\t\t\t\nTST0005535\tTST0005535\tVAR0005445\tCTXgraft05\tGSMCMPCFTTDHQMARRCDDCCLFDGFGRCYGPQCLCV\tVCR020\t\t\t\nTST0005536\tTST0005536\tVAR0005446\tCTXgraft06\tGSMCMPCFTTDHQMARKCDDCCLFIGWGKCYGPQCLCK\tVCR020\t\t\t\nTST0005537\tTST0005537\tVAR0005447\tCTXgraft07\tGSMCEPCTTLFTDEANSCDACCGGRGRGRCYGPQCLCR\tVCR020\t\t\t\nTST0005538\tTST0005538\tVAR0005448\tCTXgraft08\tGSMCTPCWTLFQSIADLCDACCGGKGRGKCYGPQCLCR\tVCR020\t\t\t\nTST0005539\tTST0005539\tVAR0005449\tCTXgraft09\tGSMCMPCFTTDHQMARRCDDCCGGALFGRCYGPQCLCI\tVCR020\t\t\t\nTST0005540\tTST0005540\tVAR0005450\tCTXgraft10\tGSMCMPCFTTDHQMARKCDDCCGGALFGKCYGPQCLCI\tVCR020\t\t\t\nTST0005541\tTST0005541\tVAR0005451\tCTXgraft11\tGSMCMPCFTTDLTMQLFCEACCGGSGRGRCYGPQCLCR\tVCR020\t\t\t\nTST0005542\tTST0005542\tVAR0005452\tCTXgraft12\tGSMCMPCFTTDLTMQLFCEACCGGSGRGKCYGPQCLCR\tVCR020\t\t\t\nTST0005543\tTST0005543\tVAR0005453\tCTXgraft13\tGSMCVPCYTMLQDVAYLCWWCCGGKGRGKCYGPQCLCR\tVCR020\t\t\t\nTST0005544\tTST0005544\tVAR0005454\tCTXgraft14\tGSMCYPCFTTDHTMAMLCWQCCGGEGRGKCYGPQCLCR\tVCR020\t\t\t\nTST0005545\tTST0005545\tVAR0005455\tCTXgraft15\tGSMCSPCFTTDHTMAMLCQQCCGGYGRGRCYGPQCLCR\tVCR020\t\t\t\nTST0005546\tTST0005546\tVAR0005456\tMCOTIgraft01\tGSSGNLGGVCPKILKKCRNETDCPGACICFENGYCG\tVCR020\t\t\t\nTST0005547\tTST0005547\tVAR0005457\tMCOTIgraft02\tGSSGSDGGVCPKILKKCRRDSDCPGACICRLFGYCG\tVCR020\t\t\t\nTST0005548\tTST0005548\tVAR0005458\tMCOTIgraft03\tGSSGLFGGVCPKILKKCRTENDCPGACQCRGNGYCG\tVCR020\t\t\t\nTST0005549\tTST0005549\tVAR0005459\tMCOTIgraft04\tGSSGTDLFWCPKILKKCRRDSDCPGACICRGNGYCG\tVCR020\t\t\t\nTST0005550\tTST0005550\tVAR0005460\tMCOTIgraft05\tGSSGSDGGVCPLFIQKCRRDSDCPGACICRGNGYCG\tVCR020\t\t\t\nTST0005551\tTST0005551\tVAR0005461\tMCOTIgraft06\tGSSGSDGGVCPKILKECLFNSDCPGACICRGNGYCG\tVCR020\t\t\t\nTST0005552\tTST0005552\tVAR0005462\tMCOTIgraft07\tGSSGSDGGVCPMLFSRCRRDSDCPGACICRGNGFCG\tVCR020\t\t\t\nTST0005553\tTST0005553\tVAR0005463\tMCOTI\tSGSDGGVCPKILKKCRRDSDCPGACICRGNGYCG\tVCR020\t\t\t\nTST0005554\tTST0005554\tVAR0005464\tOpi2\tGDCLPHLKLCKENKDCCSKKCKRRGTNIEKRCR\tVCR020\t\t\t\nTST0005555\tTST0005555\tVAR0005465\tHem\tGDCLPHLKLCKADKDCCSKKCKRRGTNPEKRCR\tVCR020\t\t\t\nTST0005556\tTST0005556\tVAR0005466\tMca\tGDCLPHLKRCKENNDCCSKKCKRRGTNPEKRCR\tVCR020\t\t\t\nTST0005557\tTST0005557\tVAR0005467\tMK\tCKYKFENWGACDGGTGTKVRQGTLKKARYNAQCQETIRVTKPC\tVCR020\t\t\t\nTST0005645\tTST0005645\tVAR0005468\thLF_TB1G2\tGSKCFQWQRNMRKVRGPPVSCIKRGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\nTST0005647\tTST0005647\tVAR0005469\tPFVYLI_TB1G2\tGSPFVYLIGGSPDEYIERAKECCKKQDIQCCLRIFDESKDPNVMLICLFCW\tVCR020\t\t\t\n\u0027 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{"id":105663,
"date":"2019-03-28 12:27:30",
"report":"A8-0182/2019",
"name":"CHANGE ME",
"rapporteur":"RAPPORTEUR",
"desc":"Vladimír Maňka - Am 11/2",
"for":383,"against":205,"abstention":8}
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{"poster":"Shaco V7","date":"2018-11-19T17:08:22.037+0000","title":"1+ Flex","subforum":"Clans & Teams","up_votes":1,"down_votes":0,"body":"1+ Flex mit ts sind silber-gold add shaco v7","replies":[]} |
{
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{"latitude":46.8636,"longitude":-113.67,"zipcode":"59823","msa":"5140","dma":"762","state":"MT"} |
{"code":"1201052005","province_code":"12","regency_code":"1201","district_code":"120105","name":"SARMA NAULI"} |
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mark, non-English usage</a> - Quotation marks, also called quotes, speech marks or inverted commas, are punctuation marks used in pairs to set off speech, a quotation, or a phrase.","\n<a href=\"http://duckduckgo.com/Aphorism\">Aphorism</a> - An aphorism is an original thought, spoken or written in a laconic (concise) and memorable form.","A quotation is the repetition of one expression as part of another one, particularly when the quoted expression is well-known or explicitly attributed by citation to its original source, and it is indicated by (punctuated with) quotation marks.","\n<a href=\"http://duckduckgo.com/Quotation_mark\">Quotation mark</a> - In English writing, quotation marks or inverted commas (informally referred to as quotes or speech marks) are punctuation marks surrounding a quotation, direct speech, or a lit..."],"common":{"milestones":["<a target=\"_new\" href=\"http://en.wikinews.org/wiki/Pope_Benedict_apologizes_for_%22sounding_offensive%22_to_Muslims\" title=\"Pope Benedict apologizes for "sounding offensive" to Muslims\">Pope Benedict apologizes for "sounding offensive" to Muslims</a>","<a target=\"_new\" href=\"http://en.wikinews.org/wiki/Israeli_report:_Iran_acquired_missiles_capable_of_striking_Europe\" title=\"Israeli report: Iran acquired missiles capable of striking Europe\">Israeli report: Iran acquired missiles capable of striking Europe</a>","<a target=\"_new\" href=\"http://en.wikinews.org/wiki/North_Korea_has_no_further_interest_in_negotiations_with_United_States\" title=\"North Korea has no further interest in negotiations with United States\">North Korea has no further interest in negotiations with United States</a>","<a target=\"_new\" href=\"http://en.wikinews.org/wiki/Three_cities_submit_bids_for_2020_Summer_Olympics\" title=\"Three cities submit bids for 2020 Summer Olympics\">Three cities submit bids for 2020 Summer Olympics</a>","<a target=\"_new\" href=\"http://en.wikinews.org/wiki/Prime_Minister_of_Barbados_David_Thompson_dies_at_age_48\" title=\"Prime Minister of Barbados David Thompson dies at age 48\">Prime Minister of Barbados David Thompson dies at age 48</a>","<a target=\"_new\" href=\"http://en.wikinews.org/wiki/Plane_with_Korean,_Czech_tourists_aboard_crashes_in_Cambodia\" title=\"Plane with Korean, Czech tourists aboard crashes in Cambodia\">Plane with Korean, Czech tourists aboard crashes in Cambodia</a>","<a target=\"_new\" href=\"http://en.wikinews.org/wiki/Afghanistan_general_Stanley_McChrystal_cleared_of_wrongdoing\" title=\"Afghanistan general Stanley McChrystal cleared of wrongdoing\">Afghanistan general Stanley McChrystal cleared of wrongdoing</a>","<a target=\"_new\" href=\"http://en.wikinews.org/wiki/Second_man_charged_in_Lee_Rigby_murder_case\" title=\"Second man charged in Lee Rigby murder case\">Second man charged in Lee Rigby murder case</a>","<a target=\"_new\" href=\"http://en.wikinews.org/wiki/Supreme_Court_of_the_United_States_contemplates_same-sex_marriage\" title=\"Supreme Court of the United States contemplates same-sex marriage\">Supreme Court of the United States contemplates same-sex marriage</a>","<a target=\"_new\" href=\"http://en.wikinews.org/wiki/Iraqi_insurgents_intercepted_drone_feeds_using_widely_available_software\" title=\"Iraqi insurgents intercepted drone feeds using widely available software\">Iraqi insurgents intercepted drone feeds using widely available software</a>","<a target=\"_new\" href=\"http://en.wikinews.org/wiki/Palau_police_shoot_Chinese_fisherman,_police_plane_feared_lost\" title=\"Palau police shoot Chinese fisherman, police plane feared lost\">Palau police shoot Chinese fisherman, police plane feared lost</a>","<a target=\"_new\" href=\"http://en.wikinews.org/wiki/We,_the_two-headed_snake,_dies_in_U.S._museum_at_age_8\" title=\"We, the two-headed snake, dies in U.S. museum at age 8\">We, the two-headed 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{"poster":"Kênshîro","date":"2015-06-30T09:17:19.607+0000","title":"Suche DuoQ Partner!","subforum":"Clans & Teams","up_votes":1,"down_votes":0,"body":"Hey ho\r\nbin auf der suche nach einem DuoQ Partner wie schon der Titel sagt.\r\nBin 18 jahre jung derzeit Silber3 / Gold niveau.\r\n\r\nMfg Kênshîro","replies":[{"poster":"Kênshîro","date":"2015-07-01T20:02:18.052+0000","up_votes":1,"down_votes":0,"body":"Beigefügt:\nMin Silber 4 Elo und kein \"Flamer\"","replies":[]},{"poster":"Cheering210","date":"2015-06-30T10:43:50.311+0000","up_votes":1,"down_votes":0,"body":"Hallo,\nMein ingame Name ist Cheering210 ich bin zwar Bronze 4 aber könnt locker oberes Silver spielen \nwenn lust hast mit mir zuspielen adde mich und schreib mich einfach an \nGruß \nCheering210","replies":[]},{"poster":"Ann1e is Life","date":"2015-06-30T09:24:23.021+0000","up_votes":1,"down_votes":0,"body":"Hey :)\n\nHätte Interesse. Mein Ingame Name ist Swarrox.\nKannst mich ja mal adden, dann können wir heut Abend mal spielen.\n\nGruss\nJonas","replies":[]}]} |
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{"pageProps":{"title":"Building a Next.js page load progress bar","description":"I've seen a fair few tutorials on building a page load progress bar for Next.js applications but most of them use the external library NProgress. While NProgress is a very nice general purpose library we can also build our own 'cheap' progress bar without using any library!","published":"2021-04-18T19:00:00Z","readTimeInMinutes":7,"source":{"compiledSource":"/*@jsxRuntime automatic @jsxImportSource react*/\nconst {Fragment: _Fragment, jsx: _jsx, jsxs: _jsxs} = arguments[0];\nconst {useMDXComponents: _provideComponents} = arguments[0];\nfunction _createMdxContent(props) {\n const _components = Object.assign({\n p: \"p\",\n h1: \"h1\",\n code: \"code\",\n h2: \"h2\",\n pre: \"pre\",\n a: \"a\"\n }, _provideComponents(), props.components);\n return _jsxs(_Fragment, {\n children: [_jsx(_components.p, {\n children: \"In this post I'm going to cover why you would want to add a page load progress bar\\nto your Next.js application as well as how you could go about implementing it\\nwithout using any external libraries. Let's dive right in!\"\n }), \"\\n\", _jsx(_components.h1, {\n children: \"Why add a page load progress bar\"\n }), \"\\n\", _jsx(_components.p, {\n children: \"If you've ever visited a slow website and clicked a navigation link,\\nit may have felt like the page was not responding. This might have given\\nyou a certain feeling of frustration perhaps, even provoking you to click\\none or multiple times.\"\n }), \"\\n\", _jsx(_components.p, {\n children: \"What really happened in the background was that the server got your request\\nand started preparing this page on the back-end but it just took a while to\\ncomplete. Since you didn't get any kind of indication that something was happening\\nyou just decided to mash that button again.\"\n }), \"\\n\", _jsx(_components.p, {\n children: \"In the worst case the webserver actually starts processing this second\\nclick for the exact same page as well, needlessly increasing server load.\\nThis implies two negative side effects. First, the webserver processed\\na request twice, and second, the user has become more impatient than\\nthey already were due to poor loading experience.\"\n }), \"\\n\", _jsx(_components.p, {\n children: \"Of course the button could just be disabled on click, while this does\\nprevent the user from rage clicking it doesn't improve their browsing\\nexperience on your website at all. This is why it may help to show\\nyour users a page load progress bar.\"\n }), \"\\n\", _jsx(_components.h1, {\n children: \"Implementing the page load progress bar\"\n }), \"\\n\", _jsxs(_components.p, {\n children: [\"For this part I will be using Next.js' built-in support for CSS modules\\nand the provided \", _jsx(_components.code, {\n children: \"useRouter\"\n }), \" hook so that we can hook into router events\\nprovided by Next.js. The choice of CSS library is completely yours, you\\ncould opt to use styled-jsx or styled-components if you'd like.\\nFurthermore this will be a self-contained component, when it's done you\\ncan just drop \", _jsx(_components.code, {\n children: \"<Progress />\"\n }), \" into your Next.js page layout file and\\neverything should just work.\"]\n }), \"\\n\", _jsx(_components.h2, {\n children: \"Setting up the component\"\n }), \"\\n\", _jsxs(_components.p, {\n children: [\"To start off, let's first create the files we need for this component.\\nI'll assume you have some folder such as \", _jsx(_components.code, {\n children: \"components/\"\n }), \" which holds all\\nyour React components. Add a \", _jsx(_components.code, {\n children: \"progress/\"\n }), \" folder inside this folder and\\nadd an \", _jsx(_components.code, {\n children: \"index.js\"\n }), \" and \", _jsx(_components.code, {\n children: \"progress.module.css\"\n }), \" file to the \", _jsx(_components.code, {\n children: \"progress/\"\n }), \" folder.\\nYour directory structure should look like this:\"]\n }), \"\\n\", _jsx(_components.pre, {\n children: _jsx(_components.code, {\n className: \"language-plain\",\n children: \". (root)\\n|- components\\n|--|- progress\\n|--|--|- index.js\\n|--|--|- progress.module.css\\n\"\n })\n }), \"\\n\", _jsxs(_components.p, {\n children: [\"With these files set up we can now open \", _jsx(_components.code, {\n children: \"progress/index.js\"\n }), \" to start\\nworking on our component. We'll need to use the \", _jsx(_components.code, {\n children: \"useRouter\"\n }), \" and \", _jsx(_components.code, {\n children: \"useEffect\"\n }), \" hooks\\nto bind listeners to navigation events and we'll need to use \", _jsx(_components.code, {\n children: \"useState\"\n }), \"\\nto keep track of the progress:\"]\n }), \"\\n\", _jsx(_components.pre, {\n children: _jsx(_components.code, {\n className: \"language-jsx\",\n children: \"import {useEffect, useState} from 'react';\\nimport {useRouter} from 'next/router';\\nimport styles from './progress.module.css';\\n\\nexport default function Progress() {\\n const router = useRouter();\\n const [progress, setProgress] = useState(0);\\n\\n return (\\n <div className={styles.progress}>\\n <div\\n className={styles.indicator}\\n style={{\\n width: `${progress}%`,\\n opacity: progress > 0 && progress < 100 ? 1 : 0,\\n }}\\n />\\n </div>\\n )\\n}\\n\"\n })\n }), \"\\n\", _jsxs(_components.p, {\n children: [\"Of course this doesn't do much yet but at least we now have a component\\nthat we can \", _jsx(_components.code, {\n children: \"import\"\n }), \" in our layout or header file. We did set up\\na little bit of dynamic styling in the \", _jsx(_components.code, {\n children: \".indicator\"\n }), \" element so set\\nthe \", _jsx(_components.code, {\n children: \"width\"\n }), \" equal to \", _jsx(_components.code, {\n children: \"${progress}%\"\n }), \" and to set \", _jsx(_components.code, {\n children: \"opacity\"\n }), \" to \", _jsx(_components.code, {\n children: \"1\"\n }), \" whenever\\nit is active (\", _jsx(_components.code, {\n children: \"progress\"\n }), \" not \", _jsx(_components.code, {\n children: \"0\"\n }), \" or \", _jsx(_components.code, {\n children: \"100\"\n }), \"). You can go ahead\\nand import and render it on your page. Nothing will show up yet but we're\\ngoing to fix that now by adding some CSS.\"]\n }), \"\\n\", _jsx(_components.h2, {\n children: \"Styling the component\"\n }), \"\\n\", _jsxs(_components.p, {\n children: [\"Open \", _jsx(_components.code, {\n children: \"progress/progress.module.css\"\n }), \" and add the following:\"]\n }), \"\\n\", _jsx(_components.pre, {\n children: _jsx(_components.code, {\n className: \"language-css\",\n children: \".progress {\\n position: fixed;\\n top: 0;\\n left: 0;\\n z-index: 999999;\\n height: 0.15rem;\\n width: 100%;\\n}\\n\\n.indicator {\\n background-color: yellow;\\n position: absolute;\\n top: 0;\\n bottom: 0;\\n left: 0;\\n width: 0;\\n transition: all 0.1s linear, opacity 0.3s linear 0.2s;\\n}\\n\"\n })\n }), \"\\n\", _jsxs(_components.p, {\n children: [\"The \", _jsx(_components.code, {\n children: \".progress\"\n }), \" class is the outer container which will create a fixed\\nspace at the top of the page which \", _jsx(_components.code, {\n children: \".indicator\"\n }), \" will fill up. The\\n\", _jsx(_components.code, {\n children: \".indicator\"\n }), \" has some transition effects to animate both \", _jsx(_components.code, {\n children: \"width\"\n }), \" and\\n\", _jsx(_components.code, {\n children: \"opacity\"\n }), \" so the bar fades in and out nicely and width transitions\\nalso look smooth. If we now go ahead and set the progress to something\\nother than \", _jsx(_components.code, {\n children: \"0\"\n }), \" initially, we should see a yellow bar at the top,\\nlet's set it to \", _jsx(_components.code, {\n children: \"40\"\n }), \":\"]\n }), \"\\n\", _jsx(_components.pre, {\n children: _jsx(_components.code, {\n className: \"language-jsx\",\n children: \"const [progress, setProgress] = useState(40);\\n\"\n })\n }), \"\\n\", _jsxs(_components.p, {\n children: [\"Now reload the page and you should see a progress bar already at 40% progress.\\nThis is the time you'll want to do some additional styling if you don't like\\nhow it looks. Also don't forget to set the \", _jsx(_components.code, {\n children: \"useState\"\n }), \" default back to \", _jsx(_components.code, {\n children: \"0\"\n }), \"\\nwhen you're done :)\"]\n }), \"\\n\", _jsx(_components.h2, {\n children: \"Binding the events\"\n }), \"\\n\", _jsxs(_components.p, {\n children: [\"All we have to do now is to hook up to Next.js' router events\\nand make this bar move on its own whenever a navigation event occurs. To\\ndo this we'll add a \", _jsx(_components.code, {\n children: \"useEffect\"\n }), \" hook without any dependencies so that\\nit works like \", _jsx(_components.a, {\n href: \"https://reactjs.org/docs/react-component.html#componentdidmount\",\n children: _jsx(_components.code, {\n children: \"componentDidMount\"\n })\n }), \"\\n/ \", _jsx(_components.a, {\n href: \"https://reactjs.org/docs/react-component.html#componentwillunmount\",\n children: _jsx(_components.code, {\n children: \"componentWillUnmount\"\n })\n }), \"\\nlifecycle methods.\"]\n }), \"\\n\", _jsx(_components.p, {\n children: \"We do this since we want\\nto make sure these listeners are only bound once, and should an unmount\\noccur we also want to make sure the old listeners are cleaned up\\nbefore any new ones are attached. This allows us to set up the listeners once,\\nand if an unmount occurs this also allows us to clean up the listeners:\"\n }), \"\\n\", _jsx(_components.pre, {\n children: _jsx(_components.code, {\n className: \"language-jsx\",\n children: \"useEffect(() => {\\n let timer;\\n\\n function start() {\\n setProgress(1);\\n increment();\\n }\\n\\n function increment() {\\n const timeout = Math.round(Math.random() * 300);\\n\\n setProgress((progress) => {\\n const percent = Math.round(Math.random() * 10);\\n const next = Math.min(progress + percent, 80);\\n\\n if (next < 80) {\\n timer = setTimeout(increment, timeout);\\n return next;\\n }\\n\\n return 80;\\n });\\n }\\n\\n function complete() {\\n clearTimeout(timer);\\n setProgress(100);\\n }\\n\\n router.events.on('routeChangeStart', start);\\n router.events.on('routeChangeComplete', complete);\\n router.events.on('routeChangeError', complete);\\n\\n return () => {\\n clearTimeout(timer);\\n router.events.off('routeChangeStart');\\n router.events.off('routeChangeComplete');\\n router.events.off('routeChangeError');\\n };\\n}, []);\\n\"\n })\n }), \"\\n\", _jsxs(_components.p, {\n children: [\"With all the parts set up we can now go over the \", _jsx(_components.code, {\n children: \"start\"\n }), \", \", _jsx(_components.code, {\n children: \"increment\"\n }), \" and\\n\", _jsx(_components.code, {\n children: \"complete\"\n }), \" functions. The \", _jsx(_components.code, {\n children: \"start\"\n }), \" function kicks off the process on\\n\", _jsx(_components.code, {\n children: \"routeChangeStart\"\n }), \". It calls \", _jsx(_components.code, {\n children: \"setProgress(1)\"\n }), \" which makes the progress bar\\nvisible after a 0.2s delay defined in the CSS \", _jsx(_components.code, {\n children: \"opacity\"\n }), \" transition.\\nAfterwards, it also calls \", _jsx(_components.code, {\n children: \"increment()\"\n }), \" which will repeatedly call itself\\nusing \", _jsx(_components.code, {\n children: \"setTimeout\"\n }), \" until a certain threshold has been reached (\", _jsx(_components.code, {\n children: \"80\"\n }), \" in this case).\\nThis will move the progress bar at random intervals with random percentages added.\"]\n }), \"\\n\", _jsxs(_components.p, {\n children: [\"Finally the \", _jsx(_components.code, {\n children: \"complete\"\n }), \" function will be called either on \", _jsx(_components.code, {\n children: \"routeChangeComplete\"\n }), \"\\nor \", _jsx(_components.code, {\n children: \"routeChangeError\"\n }), \" which will clear any remaining timeout set by \", _jsx(_components.code, {\n children: \"increment\"\n }), \"\\nand force the bar to \", _jsx(_components.code, {\n children: \"100\"\n }), \" progress causing it to fill up and fade out.\"]\n }), \"\\n\", _jsxs(_components.p, {\n children: [\"We can safely leave \", _jsx(_components.code, {\n children: \"progress\"\n }), \" at \", _jsx(_components.code, {\n children: \"100\"\n }), \" here. There is no need to reset it\\nto \", _jsx(_components.code, {\n children: \"0\"\n }), \" because in our component logic we set \", _jsx(_components.code, {\n children: \"opacity\"\n }), \" to \", _jsx(_components.code, {\n children: \"0\"\n }), \" when the bar\\nis either at \", _jsx(_components.code, {\n children: \"0\"\n }), \" or \", _jsx(_components.code, {\n children: \"100\"\n }), \" progress. Additionally when new navigation events\\noccur the \", _jsx(_components.code, {\n children: \"start\"\n }), \" function is called which always sets it to \", _jsx(_components.code, {\n children: \"1\"\n }), \".\"]\n }), \"\\n\", _jsx(_components.h1, {\n children: \"Everything together\"\n }), \"\\n\", _jsx(_components.p, {\n children: \"Finally, you'll end up with this component:\"\n }), \"\\n\", _jsx(_components.pre, {\n children: _jsx(_components.code, {\n className: \"language-jsx\",\n children: \"import {useEffect, useState} from 'react';\\nimport {useRouter} from 'next/router';\\nimport styles from './progress.module.css';\\n\\nexport default function Progress() {\\n const router = useRouter();\\n const [progress, setProgress] = useState(0);\\n\\n useEffect(() => {\\n let timer;\\n\\n function start() {\\n setProgress(1);\\n increment();\\n }\\n\\n function increment() {\\n const timeout = Math.round(Math.random() * 300);\\n\\n setProgress((progress) => {\\n const percent = Math.round(Math.random() * 10);\\n const next = Math.min(progress + percent, 80);\\n\\n if (next < 80) {\\n timer = setTimeout(increment, timeout);\\n return next;\\n }\\n\\n return 80;\\n });\\n }\\n\\n function complete() {\\n clearTimeout(timer);\\n setProgress(100);\\n }\\n\\n router.events.on('routeChangeStart', start);\\n router.events.on('routeChangeComplete', complete);\\n router.events.on('routeChangeError', complete);\\n\\n return () => {\\n clearTimeout(timer);\\n router.events.off('routeChangeStart');\\n router.events.off('routeChangeComplete');\\n router.events.off('routeChangeError');\\n };\\n }, []);\\n\\n return (\\n <div className={styles.progress}>\\n <div\\n className={styles.indicator}\\n style={{\\n width: `${progress}%`,\\n opacity: progress > 0 && progress < 100 ? 1 : 0,\\n }}\\n />\\n </div>\\n );\\n}\\n\"\n })\n }), \"\\n\", _jsxs(_components.p, {\n children: [\"While it isn't as fancy as something like \", _jsx(_components.a, {\n href: \"https://github.com/rstacruz/nprogress\",\n children: \"NProgress\"\n }), \",\\nwhich also shows a loading spinner, it doesn't require any library and it is\\nalso less JS and CSS. Adding an endless spinner here also wouldn't be too\\ndifficult if you really wanted to but this is something I'll leave\\nas an exercise for the reader :)\"]\n }), \"\\n\", _jsx(_components.p, {\n children: \"Until next time!\"\n }), \"\\n\", _jsx(_components.p, {\n children: \"👋\"\n })]\n });\n}\nfunction MDXContent(props = {}) {\n const {wrapper: MDXLayout} = Object.assign({}, _provideComponents(), props.components);\n return MDXLayout ? _jsx(MDXLayout, Object.assign({}, props, {\n children: _jsx(_createMdxContent, props)\n })) : _createMdxContent(props);\n}\nreturn {\n default: MDXContent\n};\n","frontmatter":{},"scope":{"title":"Building a Next.js page load progress bar","description":"I've seen a fair few tutorials on building a page load progress bar for Next.js applications but most of them use the external library NProgress. 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{"Synopsis":"Personal reminiscence, archive film and new footage are combined in an evocation of the open-air swimming pools built in Britain in the 1920s and 1930s.","Director":"Christopher Dudman","Article":"","Minutes":"10 min","Full credits":"Thanks to Sue New, Diver – Hayley Allen, Jantzen Swimwear, The Twentieth Century Society, The Finchley Pool Preservation Society, The South London Swimming Club, Ian Parker of The Independent, Janine Bartosik. The Lidos: Parliament Hill, Peterborough, Saltdean, Stroud, Tooting Bec, Uxbridge; The Derelict Lidos: Brockwell Park, Finchley, Kennington. Photography Bob Pender Hughes, Frank Battersby, Conner Connolly; Sound Recordist Maggis Ellis; Rostrum Camera Frameline; Portrait Photography George Brooks; Music Richard Durrant; Film Editor Sally Hilton, Swantee Toocaram; Executive Producer Rodney Wilson for the Arts Council; 10 x 10 Series Producer Colin Rose; Produced by Maggie Ellis, Jacqui Timberlake; Director Christopher Dudman. A Cinecontact Production for The Arts Council of Great Britain and BBC Bristol in association with ZDF. © Christopher Dudman and The Arts Council of Great Britain MCMXCIII.","chapters":[{"out":577,"in":0,"desc":"A derelict swimming pool. Pools in use. People swimming, sitting and standing about, diving. VOs explain why they like these open-air pools. VO talks about how swimming was revived by the Romantic poets. Film of outdoor swimmers in the 1920s, photographs of people at early lidos, swimming, sunbathing, etc. More silent-era film, amateur colour footage. Details of lido architecture. Views of water and swimmers. VOs talking about the social and entertainment aspects of lidos. Architectural details. VO describing the “dislocating” effect of swimming. Buildings and pools in disrepair. Man’s VO describing how he had to keep moving as the pools he frequented closed down. Caption: “In 1939 there were 50 lidos in the London area alone. In 1993 there were only 10.” Credits."}],"Series":"10 x 10","Full synopsis":"ACE261.2 10:00:00 10:09:37 A derelict swimming pool. Pools in use. People swimming, sitting and standing about, diving. VOs explain why they like these open-air pools. VO talks about how swimming was revived by the Romantic poets. Film of outdoor swimmers in the 1920s, photographs of people at early lidos, swimming, sunbathing, etc. More silent-era film, amateur colour footage. Details of lido architecture. Views of water and swimmers. VOs talking about the social and entertainment aspects of lidos. Architectural details. VO describing the “dislocating” effect of swimming. Buildings and pools in disrepair. Man’s VO describing how he had to keep moving as the pools he frequented closed down. Caption: “In 1939 there were 50 lidos in the London area alone. In 1993 there were only 10.” Credits.","Date":"1993","Choreographer":"","Title":"Lido","Part":"","Film ID":"ACE261","Production Company":"Cinecontact"} |
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"pkg-linux": "pkg dist/index.js -t node12-linux-x64 -o bin/linux/gitlab-ci-local && chmod +x bin/linux/gitlab-ci-local && gzip -c bin/linux/gitlab-ci-local > bin/linux.gz",
"pkg-macos": "pkg dist/index.js -t node12-macos-x64 -o bin/macos/gitlab-ci-local && gzip -c bin/macos/gitlab-ci-local > bin/macos.gz",
"pkg-win": "pkg dist/index.js -t node12-win-x64 -o bin/win/gitlab-ci-local && gzip -c bin/win/gitlab-ci-local.exe > bin/win.gz",
"pkg-all": "npm run pkg-linux && npm run pkg-macos && npm run pkg-win",
"pkg": "pkg",
"build": "tsc",
"check-all": "npm run build && npm run --silent lint && npm run ncu && npm audit --parseable",
"lint": "tslint --project .",
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"ncu": "ncu --semverLevel major -e 2",
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"test-exec-never-job": "node -r source-map-support/register dist/index.js never_job --cwd tests/test-yml-spec"
},
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"ansi-colors": "^4.1.1",
"dateformat": "^3.0.3",
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"fs-extra": "^9.0.1",
"glob": "^7.1.6",
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{
"author": "carmina libraria",
"title": "Iohannes Moller, sequentes iuris controversi positiones",
"url": "http://www.poetiditalia.it/texts/CARM_LIB|moll|001",
"text": [
[
{
"verse": "Viro Nobili et Doctissimo Iohanni Mollero, pro summma in utroque laurea disputanti"
}
],
[
{
"verse": "Ordire forti proelia dextera"
},
{
"verse": "Mollere magni progenies Patris"
},
{
"verse": "Quem consili et legum potentem"
},
{
"verse": "Hammonius coluit senatus."
},
{
"verse": "Numquam clientes deseruit suos"
},
{
"verse": "Astraea nec te numine deseret;"
},
{
"verse": "Illam tenellis namque ab annis"
},
{
"verse": "Cura fuit tibi sola amare."
},
{
"verse": "Mox mox quadrigis provehet aureis"
},
{
"verse": "Phoebus diem qua Rauraca te Themis"
},
{
"verse": "Rubra decorum fronte mitra"
},
{
"verse": "Eunomiae sociabit aris."
}
],
[
{
"verse": "Boni omnis ergo p."
},
{
"verse": "Iohannes Secreta Schotnovius"
},
{
"verse": "A Zavorzitz, Praga Boh. M.D."
}
]
]
} |
{
"package": "com.jumobile.manager.systemapp.pro",
"recommended": false,
"verified": false,
"description": {
"zh_CN": "重定向会导致 apk 扫描出现问题，只能扫描到排除的文件夹（Download Music 等），如果根目录只用这些文件夹（其他全部重定向），应该可以正常使用，否则不推荐重定向。"
},
"authors": [
"snailwind"
]
} |
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{"poster":"Legend Irelia","date":"2018-03-13T19:04:05.066+0000","title":"DuoQ boosting erlaubt?","subforum":"Ligen & gewertete Spiele","up_votes":1,"down_votes":0,"body":"Hi,\nIch wurde letztens wieder von einem lvl 1 Account angeschrieben das ich auf irgendeine Seite für wenig Geld geboostet werde.\n\nMir ist aber aufgefallen das das boosting nicht mehr so funktioniert wie ich es von früher kenne. Soweit ich weiß hat jemand anderes auf deinem Account gespielt bis du eine bestimmte Elo erreichst. Doch dort wurde einem angeboten das man zusammen mit dem booster spielt und so gebootet wird.\n\nAlso meine Frage: Ist das erlaubt?","replies":[{"poster":"Revilous","date":"2018-03-14T11:45:57.722+0000","up_votes":3,"down_votes":0,"body":"DuoQ ist erlaubt, smurfing ist erlaubt. Daher ist, auch wenn Boosting verboten ist, DuoQ Boosting erlaubt.","replies":[]},{"poster":"Doo ","date":"2018-03-13T19:27:00.064+0000","up_votes":3,"down_votes":1,"body":"Ist erlaubt. Daher sollte eine reine SoloQ eingeführt werden damit alle geboosteten Affen nicht mit mir spielen.","replies":[{"poster":"old man kiLu","date":"2018-03-15T08:47:20.916+0000","up_votes":1,"down_votes":0,"body":"Ehm es gibt Menschen die sich auf Silver 1/2 oder Gold 5 boosten lassen? oO ist mir neu :O","replies":[{"poster":"Doo ","date":"2018-03-15T16:58:16.386+0000","up_votes":1,"down_votes":0,"body":"> [{quoted}](name=old man kiLu,realm=EUW,application-id=ip27PlEH,discussion-id=4EhYYpm8,comment-id=00010000,timestamp=2018-03-15T08:47:20.916+0000)\n>\n> Ehm es gibt Menschen die sich auf Silver 1/2 oder Gold 5 boosten lassen? oO ist mir neu :O\n\nIch wette der Großteil aller geboosteten Spieler tümmeln sich im Goldbereich rum, weil wie jeder weiß die größte Spielerschaft Bronze-Silber hängt.","replies":[{"poster":"Legend Irelia","date":"2018-04-01T20:12:26.332+0000","up_votes":1,"down_votes":0,"body":"Nah, meiste Spieler (50%) sind silber (Aktuell zumindestens[Gold 20%, Bronze 20%]). Ich glaube du bist nur genervt weil du nicht aus Gold rauskommst.","replies":[]}]}]}]},{"poster":"5 Dunks 1 Darius","date":"2018-03-14T15:31:43.894+0000","up_votes":2,"down_votes":1,"body":"Auch wenn das spielen mit Smurfs um zu climben erlaubt ist, findet hier klar boosting statt wenn du dafür bezahlst.","replies":[{"poster":"Cenâreth","date":"2018-03-14T15:53:58.655+0000","up_votes":1,"down_votes":2,"body":"> [{quoted}](name=Spieler Support,realm=EUW,application-id=ip27PlEH,discussion-id=4EhYYpm8,comment-id=0005,timestamp=2018-03-14T15:31:43.894+0000)\n>\n> Auch wenn das spielen mit Smurfs um zu climben erlaubt ist, findet hier klar boosting statt wenn du dafür bezahlst.\n\nQuatsch. Allerdings dass man für DuoQ zahlt ist ja mal was ganz neues. XD","replies":[{"poster":"Doo ","date":"2018-03-14T22:31:35.692+0000","up_votes":1,"down_votes":0,"body":"> [{quoted}](name=Cenâreth,realm=EUW,application-id=ip27PlEH,discussion-id=4EhYYpm8,comment-id=00050000,timestamp=2018-03-14T15:53:58.655+0000)\n>\n> Quatsch. Allerdings dass man für DuoQ zahlt ist ja mal was ganz neues. XD\n\nMachen halt viele um einen Bann zu umgehen.\n\nRiots Logik kann man aber nicht verstehen.. ob sich jetzt jemand in einen anderen Account einloggt und boostet oder ob dies im DuoQ passiert, wo liegt der Unterschied außer das man für Solo boost gebannt wird?","replies":[{"poster":"Legend Irelia","date":"2018-04-01T20:15:48.807+0000","up_votes":1,"down_votes":0,"body":"Das es nicht so leicht ist geboosted zu werden? Wenn ein Silber 5 Spieler bis Gold 1 boostet wird, hat der Booster einen Spieler der auf jeden Fall nicht gut ist, heißt er Spielt 4 vs 5. D.h. man kann dadurch nicht ins unendliche boosten da man immer einen schlechten (den geboosteten) Spieler hat.","replies":[]}]},{"poster":"Legend Irelia","date":"2018-04-01T20:12:48.588+0000","up_votes":1,"down_votes":0,"body":"Was den Leuten nicht alles einfällt um Geld zu machen^^\n\n*Btw laut riot ist das smurfen erlaubt.","replies":[]}]}]},{"poster":"Jhilista","date":"2018-04-25T20:03:41.183+0000","up_votes":1,"down_votes":0,"body":"Also als erstes...\n1 .Richtige Booster, spielen meistens mit Scripts, scripts auf Champions wie :\"Xerath oder Kog bzw. Twitch.... alles was irgendwie hard & fast gewinnen kann.\nDodge scripts etc. alles dabei, dass volle Programm.\n\n2. Zahlt der Geboostete (meistens) ->den<- Booster. über eine Seite oder per Paypal o.ä.\n3. Der Booster selbst spielt meistens (selbst) auf einer Elo wie High Diamond / Low Master.\n\n---\nDa aber nächste Season anscheinend niemand mehr absteigen kann, sondern nur noch aufsteigen (XD) wird das \"Boosten\" den Berg runtergehen.","replies":[{"poster":"Angel Ayume","date":"2018-04-25T20:39:15.916+0000","up_votes":1,"down_votes":0,"body":"> [{quoted}](name=Jhilista,realm=EUW,application-id=ip27PlEH,discussion-id=4EhYYpm8,comment-id=0006,timestamp=2018-04-25T20:03:41.183+0000)\n>\n\n> Da aber nächste Season anscheinend niemand mehr absteigen kann, sondern nur noch aufsteigen (XD) wird das "Boosten" den Berg runtergehen.\n\nWo hast du das denn bitte gelesen? Dann würde das ganze Ranked System keinen Sinn ergeben.","replies":[]}]},{"poster":"Awsane","date":"2018-03-14T09:40:23.752+0000","up_votes":1,"down_votes":0,"body":"Das Thema ist nicht ganz so einfach zu beantworten.\n\nGenerell ist es nicht verboten, solange es nicht systematisch gemacht wird.\n\nHier lese dir das mal durch, denke es hilft dir weiter, da wird das nen bisschen tiefer betrachtet.\n\nhttps://boards.euw.leagueoflegends.com/de/c/spielerverhalten-de/Hj86EnUY-frage-an-den-support-zum-thema-duo-q-boosting-mit-antwort\n\nLG Awsane","replies":[]},{"poster":"Megamaexx","date":"2018-03-13T19:54:01.453+0000","up_votes":1,"down_votes":0,"body":"Boosting an sich ist nicht erlaubt, allerdings erlaubt Riot, dass du mit Freunden spielen kannst, selbst wenn diese smurfen. So gesehen wäre das dann einfach nur ein “Freund“, dein Account ist meines Erachtens also nicht gefährdet.","replies":[]},{"poster":"Marksmansitter","date":"2018-03-13T19:09:32.364+0000","up_votes":1,"down_votes":0,"body":"denke ja, du teilst deinen acc ja nicht sondern spielst selber.","replies":[]}]} |
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{"_id":"A36268","titles":["Tho. Dangerfield's answer to a certain scandalous lying pamphlet entituled, Malice defeated, or, The deliverance of Elizabeth Cellier together with some particular remarks made from her own words, an acknowledgment of matter of fact, and a short compendium of the principal transactions of her life and conversation / all which are wrote by the hand of Tho. Dangerfield ..."],"author":["Dangerfield, Thomas, 1650?-1685."],"place":"London :","date":"1680.","publisher":"Printed for the author and are to be sold at Randal Taylor's,","notes":["Reproduction of original in Union Theological Seminary Library, New York."],"editionDate":"1680","language":"eng","keywords":["Cellier, Elizabeth, fl. 1680. -- Malice defeated.","Popish Plot, 1678."]} |
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"\n<a href=\"http://duckduckgo.com/Educational_evaluation\">Educational evaluation</a> is evaluation that is conducted specifically in an educational setting.",
"\n<a href=\"http://duckduckgo.com/Immanent_evaluation\">Immanent evaluation</a>, opposed by <a href=\"http://duckduckgo.com/?q=Gilles Deleuze\">Gilles Deleuze</a> to <a href=\"http://duckduckgo.com/?q=value judgment\">value judgment</a>",
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"text" : "\n{{Multiple issues\n | essay=May 2011 cleanup=September 2008\n}} 'Evaluation' is a systematic determination of a subject's merit, worth and\nsignificance, using criteria governed by a set of standards. It can assist an\norganization, program, project or any other intervention or initiative to assess\nany aim, realisable concept/proposal, or any alternative, to help in decision-\nmaking; or to ascertain the degree of achievement or value in regard to the aim\nand objectives and results of any such action that has been\ncompleted.<ref></ref> The primary purpose of evaluation, in addition to gaining\ninsight into prior or existing initiatives, is to enable reflection and assist\nin the identification of future change.<ref></ref>\n\nEvaluation is often used to characterize and appraise subjects of interest in\na wide range of human enterprises, including the arts, criminal justice,\nfoundations, non-profit organizations, government, health care, and other\nhuman services.\n",
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{"notes": [{"id": "ByxY8CNtvr", "original": "S1gh9fvOPS", "number": 1146, "cdate": 1569439312888, "ddate": null, "tcdate": 1569439312888, "tmdate": 1583912043679, "tddate": null, "forum": "ByxY8CNtvr", "replyto": null, "invitation": "ICLR.cc/2020/Conference/-/Blind_Submission", "content": {"title": "Improving Neural Language Generation with Spectrum Control", "authors": ["Lingxiao Wang", "Jing Huang", "Kevin Huang", "Ziniu Hu", "Guangtao Wang", "Quanquan Gu"], "authorids": ["lingxw@cs.ucla.edu", "jing.huang@jd.com", "kevin.huang3@jd.com", "bull@cs.ucla.edu", "guangtao.wang@jd.com", "qgu@cs.ucla.edu"], "keywords": [], "abstract": "Recent Transformer-based models such as Transformer-XL and BERT have achieved huge success on various natural language processing tasks. However, contextualized embeddings at the output layer of these powerful models tend to degenerate and occupy an anisotropic cone in the vector space, which is called the representation degeneration problem. In this paper, we propose a novel spectrum control approach to address this degeneration problem. The core idea of our method is to directly guide the spectra training of the output embedding matrix with a slow-decaying singular value prior distribution through a reparameterization framework. We show that our proposed method encourages isotropy of the learned word representations while maintains the modeling power of these contextual neural models. We further provide a theoretical analysis and insight on the benefit of modeling singular value distribution. We demonstrate that our spectrum control method outperforms the state-of-the-art Transformer-XL modeling for language model, and various Transformer-based models for machine translation, on common benchmark datasets for these tasks.", "pdf": "/pdf/d829997f1a6b658634736640508b66f39b8aa6d7.pdf", "paperhash": "wang|improving_neural_language_generation_with_spectrum_control", "_bibtex": "@inproceedings{\nWang2020Improving,\ntitle={Improving Neural Language Generation with Spectrum Control},\nauthor={Lingxiao Wang and Jing Huang and Kevin Huang and Ziniu Hu and Guangtao Wang and Quanquan Gu},\nbooktitle={International Conference on Learning Representations},\nyear={2020},\nurl={https://openreview.net/forum?id=ByxY8CNtvr}\n}", "full_presentation_video": "", "original_pdf": "/attachment/3892785993211500b06255cc5353faada41941e0.pdf", "appendix": "", "poster": "", "spotlight_video": "", "slides": ""}, "signatures": ["ICLR.cc/2020/Conference"], "readers": ["everyone"], "nonreaders": [], "writers": ["ICLR.cc/2020/Conference"], "details": {"replyCount": 9, "writable": false, "overwriting": [], "revisions": true, "tags": [], "invitation": {"reply": {"readers": {"values-regex": ".*"}, "writers": {"values": ["ICLR.cc/2020/Conference"]}, "signatures": {"values": ["ICLR.cc/2020/Conference"]}, "content": {"spotlight_video": {"value-regex": ".*"}, "full_presentation_video": {"value-regex": ".*"}, "original_pdf": {"required": false, "description": "Upload a PDF file that ends with .pdf", "value-regex": ".*"}, "appendix": {"value-regex": ".*"}, "authorids": {"values-regex": ".*"}, "poster": {"value-regex": ".*"}, "authors": {"values": ["Anonymous"]}, "slides": {"value-regex": ".*"}}}, "final": [], "signatures": ["ICLR.cc/2020/Conference"], "readers": ["everyone"], "nonreaders": [], "writers": ["ICLR.cc/2020/Conference"], "invitees": ["ICLR.cc/2020/Conference"], "noninvitees": [], "tcdate": 1569271260237, "tmdate": 1593459412141, "id": "ICLR.cc/2020/Conference/-/Blind_Submission"}}, "tauthor": "ICLR.cc/2020/Conference"}, {"id": "gV0ujR7cQf", "original": null, "number": 1, "cdate": 1576798715702, "ddate": null, "tcdate": 1576798715702, "tmdate": 1576800920833, "tddate": null, "forum": "ByxY8CNtvr", "replyto": "ByxY8CNtvr", "invitation": "ICLR.cc/2020/Conference/Paper1146/-/Decision", "content": {"decision": "Accept (Poster)", "comment": "Main content:\n\nBlind review #2 summarizes it well:\n\nSummary: This paper deals with the representation degeneration problem in neural language generation, as some prior works have found that the singular value distribution of the (input-output-tied) word embedding matrix decays quickly. The authors proposed an approach that directly penalizes deviations of the SV distribution from the two prior distributions, as well as a few other auxiliary losses on the orthogonality of U and V (which are now learnable). The experiments were conducted on small and large scale language modeling datasets as well as the relatively small IWSLT 2014 De-En MT dataset.\n\nPros:\n+ The paper is well-written with great clarity. The dimensionality of the involved matrices (and their decompositions) are clearly provided, and the approach is clearly described. The authors also did a great job providing the details of their experimental setup.\n+ The experiments seem to show consistent improvements over the baseline methods (at least the ones listed by the authors) on a relatively extensive set of tasks (e.g., of both small and large scales, of two different NLP tasks). Via WT2 and WT103, the authors also showed that their method worked on both LSTM and Transformers (which it should, as the SVD on word embedding should be independent of the underlying architecture).\n+ I think studying the expressivity of the output embedding matrix layer is a very interesting (and important) topic for NLP. (e.g., While models like BERT are widely used, the actual most frequently re-used module of BERT is its pre-trained word embeddings.)\n\n--\n\nDiscussion:\n\nThe reviewers agree that it is a very well written paper, and this is important as a conference paper to illuminate readers.\n\nThe one main objection is that spectrum control regularization was previously proposed and applied to GANs (Jiang et al ICLR 2019). However the authors convincingly point out that the technique is widely used, not only for GANs, and that application to neural language generation has quite different characteristics requiring a different, new approach: \"our proposed prior distributions as shown in Figure 2 in our paper are fundamentally different from the singular value distributions learned using their penalty functions (See Figure 1 and Table 7 in Jiang et al.\u2019s paper). Figure 1 in their paper suggests that their penalty function, i.e., D-optimal Reg, will encourage all the singular values close to 1, which is well aligned with their motivation for training GAN. However, if we use such penalty function to train neural language models, the learned word representations will lose the power of modeling contextual information, and can result in much worse results than the baseline methods.\"\n\n--\n\nRecommendation and justification:\n\nI concur with the majority of reviewers that this paper is a weak accept. Though not revolutionary, it is well written, has usefully broad application, and is supported well empirically.", "title": "Paper Decision"}, "signatures": ["ICLR.cc/2020/Conference/Program_Chairs"], "readers": ["everyone"], "nonreaders": [], "writers": ["ICLR.cc/2020/Conference/Program_Chairs"], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Improving Neural Language Generation with Spectrum Control", "authors": ["Lingxiao Wang", "Jing Huang", "Kevin Huang", "Ziniu Hu", "Guangtao Wang", "Quanquan Gu"], "authorids": ["lingxw@cs.ucla.edu", "jing.huang@jd.com", "kevin.huang3@jd.com", "bull@cs.ucla.edu", "guangtao.wang@jd.com", "qgu@cs.ucla.edu"], "keywords": [], "abstract": "Recent Transformer-based models such as Transformer-XL and BERT have achieved huge success on various natural language processing tasks. However, contextualized embeddings at the output layer of these powerful models tend to degenerate and occupy an anisotropic cone in the vector space, which is called the representation degeneration problem. In this paper, we propose a novel spectrum control approach to address this degeneration problem. The core idea of our method is to directly guide the spectra training of the output embedding matrix with a slow-decaying singular value prior distribution through a reparameterization framework. We show that our proposed method encourages isotropy of the learned word representations while maintains the modeling power of these contextual neural models. We further provide a theoretical analysis and insight on the benefit of modeling singular value distribution. We demonstrate that our spectrum control method outperforms the state-of-the-art Transformer-XL modeling for language model, and various Transformer-based models for machine translation, on common benchmark datasets for these tasks.", "pdf": "/pdf/d829997f1a6b658634736640508b66f39b8aa6d7.pdf", "paperhash": "wang|improving_neural_language_generation_with_spectrum_control", "_bibtex": "@inproceedings{\nWang2020Improving,\ntitle={Improving Neural Language Generation with Spectrum Control},\nauthor={Lingxiao Wang and Jing Huang and Kevin Huang and Ziniu Hu and Guangtao Wang and Quanquan Gu},\nbooktitle={International Conference on Learning Representations},\nyear={2020},\nurl={https://openreview.net/forum?id=ByxY8CNtvr}\n}", "full_presentation_video": "", "original_pdf": "/attachment/3892785993211500b06255cc5353faada41941e0.pdf", "appendix": "", "poster": "", "spotlight_video": "", "slides": ""}, "tags": [], "invitation": {"reply": {"writers": {"description": "How your identity will be displayed.", "values-regex": ["ICLR.cc/2020/Conference/Program_Chairs"]}, "signatures": {"values": ["ICLR.cc/2020/Conference/Program_Chairs"], "description": "How your identity will be displayed."}, "content": {"decision": {"value-radio": ["Accept (Spotlight)", "Accept (Talk)", "Accept (Poster)", "Reject"], "description": "Decision", "required": true, "order": 2}, "title": {"value": "Paper Decision", "required": true, "order": 1}, "comment": {"value-regex": "[\\S\\s]{0,5000}", "description": "", "required": false, "order": 3}}, "forum": "ByxY8CNtvr", "replyto": "ByxY8CNtvr", "readers": {"values": ["everyone"], "description": "Select all user groups that should be able to read this comment."}, "nonreaders": {"values": []}}, "expdate": 1576854540000, "duedate": 1576853940000, "multiReply": false, "readers": ["everyone"], "invitees": ["ICLR.cc/2020/Conference/Program_Chairs"], "tcdate": 1576795722679, "tmdate": 1576800274036, "super": "ICLR.cc/2020/Conference/-/Decision", "signatures": ["ICLR.cc/2020/Conference"], "writers": ["ICLR.cc/2020/Conference"], "id": "ICLR.cc/2020/Conference/Paper1146/-/Decision"}}}, {"id": "Hyl1_Z4HiB", "original": null, "number": 4, "cdate": 1573368166734, "ddate": null, "tcdate": 1573368166734, "tmdate": 1573368702440, "tddate": null, "forum": "ByxY8CNtvr", "replyto": "BJg6QHLiYS", "invitation": "ICLR.cc/2020/Conference/Paper1146/-/Official_Comment", "content": {"title": "Response to Reviewer #2", "comment": "Thanks for your constructive comments, we answer your questions/comments as follows:\n\n1) In practice we use our method to train the models from scratch, we have clarified this in Section 4.3 in the revision.\n\n2) Our method is efficient and the memory cost is reasonable, and we have added a training time and memory cost comparison in Table 7 in Appendix D. On the WikiText-2 and WikiText-103 datasets, our method is only $1.17\\times$ and $1.18\\times$ slower than the baseline methods, respectively. Note that our method is more efficient than the method proposed by Gao et al. 2019b. Because the computational complexity for our method to compute $\\mathbf{U}^\\top\\mathbf{U}$ is $O(Nd^2)$ while the computational complexity for Gao et al. 2019b to compute $\\hat W \\hat W^\\top$ is $O(N^2d)$, where $N$ is the vocabulary size and $d$ is the embedding dimension ($N$ is often much larger than $d$). Since our method will only have slightly larger number of parameters ($O(d^2)$) than the baseline method due to the SVD reparameterization and the regularizations, the extra memory cost is reasonable. On the WikiText-2 and WikiText-103 datasets, our method will cost $1.06\\times$ and $1.32\\times$ memory than the baseline methods, respectively. \n\n3) We did not use the adaptive embedding/softmax in our method as in the base Transformer-XL model setting. To apply our method to the adaptive setting, we think it is reasonable to choose different embedding sizes $d$ following the original adaptive method.\n\n4) In Theorem 4.1 we directly assume that cross entropy loss is bounded when the embedding matrix $\\mathbf{W}$ belongs to a certain constraint $\\mathcal{P}(\\gamma)$. It is true that $B$ can be large since it is a universal upper bound that covers the worst case scenario. In practice, $B$ can be small if the cross entropy loss is well optimized. Having a dependence on $B$ is the limitation of the uniform convergence based analysis for generalization bound, and can be addressed by a more careful analysis such as algorithm dependent based analysis. Nevertheless, this is beyond the scope of this paper. On the other hand, our theoretical result explicitly shows the effect of singular values on the expected loss, which is different from the generalization bound with a dependence on the norm of weight matrices. Our bound in Theorem 4.1 sheds light on the advantages of our method by directly controlling the singular value distribution.\n\n5) The performances of exponential decay and polynomial decay are very close, and we have added their comparisons in Appendix E. For example, on WikiText-103, the test PPL for exponential decay is 23.4 compared with 23.2 reported in the paper for polynomial decay. In practice we found that for large scale dataset it\u2019s better to use polynomial decay and for small scale dataset it\u2019s better to use exponential decay. We have added the above comments at the beginning of the experiment section.\n\n6) Since the authors of Gao et al. 2019 do not provide the source code of their method, we did not compare with their method on these two datasets. As we mentioned before, the computational complexity of our method to compute $\\mathbf{U}^\\top\\mathbf{U}$ is less than their method to compute $\\hat W \\hat W^\\top$. We are running experiments on the large-scale WMT 14 En-De dataset as you suggested. Currently our method can achieve 28.45/29.32 BLEU scores for Transformer base/ big models, respectively, which are better than 28.38/28.94 BLEU scores reported in Gao et al. 2019b (see Table 5 in Appendix B). We will report the final results of our method once we finish the training.\n\n7) We have added the labels for x- and y-axis in Figure 1 in the revision.\n\n8) In our implementation, we just set singular values to learnable parameters. As a result, the learned singular values are not automatically sorted. When we implement the spectrum control, we will sort the singular values to achieve the regularization for the singular value distribution. In this way, we do not need \u201csort\u201d the columns of $\\mathbf{U},\\mathbf{V}$ or make sure $\\sigma_i\\geq \\sigma_{i+1}$.\n\n9) In practice, we can use any norm based error, such as $\\ell_\\infty$-norm, $\\ell_2$-norm, Frobenius norm, and their combinations. In practice we found that the combination of $\\ell_2$ and Frobenius norms can give us slightly better results than only use one, and that\u2019s why we choose this combination.\n"}, "signatures": ["ICLR.cc/2020/Conference/Paper1146/Authors"], "readers": ["everyone"], "nonreaders": [], "writers": ["ICLR.cc/2020/Conference/Paper1146/Authors", "ICLR.cc/2020/Conference"], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Improving Neural Language Generation with Spectrum Control", "authors": ["Lingxiao Wang", "Jing Huang", "Kevin Huang", "Ziniu Hu", "Guangtao Wang", "Quanquan Gu"], "authorids": ["lingxw@cs.ucla.edu", "jing.huang@jd.com", "kevin.huang3@jd.com", "bull@cs.ucla.edu", "guangtao.wang@jd.com", "qgu@cs.ucla.edu"], "keywords": [], "abstract": "Recent Transformer-based models such as Transformer-XL and BERT have achieved huge success on various natural language processing tasks. However, contextualized embeddings at the output layer of these powerful models tend to degenerate and occupy an anisotropic cone in the vector space, which is called the representation degeneration problem. In this paper, we propose a novel spectrum control approach to address this degeneration problem. The core idea of our method is to directly guide the spectra training of the output embedding matrix with a slow-decaying singular value prior distribution through a reparameterization framework. We show that our proposed method encourages isotropy of the learned word representations while maintains the modeling power of these contextual neural models. We further provide a theoretical analysis and insight on the benefit of modeling singular value distribution. We demonstrate that our spectrum control method outperforms the state-of-the-art Transformer-XL modeling for language model, and various Transformer-based models for machine translation, on common benchmark datasets for these tasks.", "pdf": "/pdf/d829997f1a6b658634736640508b66f39b8aa6d7.pdf", "paperhash": "wang|improving_neural_language_generation_with_spectrum_control", "_bibtex": "@inproceedings{\nWang2020Improving,\ntitle={Improving Neural Language Generation with Spectrum Control},\nauthor={Lingxiao Wang and Jing Huang and Kevin Huang and Ziniu Hu and Guangtao Wang and Quanquan Gu},\nbooktitle={International Conference on Learning Representations},\nyear={2020},\nurl={https://openreview.net/forum?id=ByxY8CNtvr}\n}", "full_presentation_video": "", "original_pdf": "/attachment/3892785993211500b06255cc5353faada41941e0.pdf", "appendix": "", "poster": "", "spotlight_video": "", "slides": ""}, "tags": [], "invitation": {"reply": {"content": {"title": {"required": true, "description": "Brief summary of your comment.", "order": 0, "value-regex": ".{1,500}"}, "comment": {"required": true, "description": "Your comment or reply (max 5000 characters). Add TeX formulas using the following formats: $In-line Formula$ or $$Block Formula$$", "order": 1, "value-regex": "[\\S\\s]{1,5000}"}}, "forum": "ByxY8CNtvr", "readers": {"values-dropdown": ["everyone", "ICLR.cc/2020/Conference/Paper1146/Authors", "ICLR.cc/2020/Conference/Paper1146/AnonReviewer.*", "ICLR.cc/2020/Conference/Paper1146/Reviewers/Submitted", "ICLR.cc/2020/Conference/Paper1146/Reviewers", "ICLR.cc/2020/Conference/Paper1146/Area_Chairs", "ICLR.cc/2020/Conference/Program_Chairs"], "description": "Who your comment will be visible to. If replying to a specific person make sure to add the group they are a member of so that they are able to see your response"}, "writers": {"values-copied": ["ICLR.cc/2020/Conference", "{signatures}"]}, "signatures": {"description": "How your identity will be displayed.", "values-regex": "ICLR.cc/2020/Conference/Paper1146/AnonReviewer[0-9]+|ICLR.cc/2020/Conference/Paper1146/Authors|ICLR.cc/2020/Conference/Paper1146/Area_Chair[0-9]+|ICLR.cc/2020/Conference/Program_Chairs"}}, "readers": ["everyone"], "tcdate": 1569504160531, "tmdate": 1576860558937, "super": "ICLR.cc/2020/Conference/-/Comment", "signatures": ["ICLR.cc/2020/Conference"], "writers": ["ICLR.cc/2020/Conference"], "invitees": ["ICLR.cc/2020/Conference/Paper1146/Authors", "ICLR.cc/2020/Conference/Paper1146/Reviewers", "ICLR.cc/2020/Conference/Paper1146/Area_Chairs", "ICLR.cc/2020/Conference/Program_Chairs"], "id": "ICLR.cc/2020/Conference/Paper1146/-/Official_Comment"}}}, {"id": "rkxq1WEBsr", "original": null, "number": 3, "cdate": 1573368034325, "ddate": null, "tcdate": 1573368034325, "tmdate": 1573368034325, "tddate": null, "forum": "ByxY8CNtvr", "replyto": "HyeHZ7XCtH", "invitation": "ICLR.cc/2020/Conference/Paper1146/-/Official_Comment", "content": {"title": "Response to Reviewer #3", "comment": "Thank you for your feedback on our work.\n\nQ1: \u201cSpectrum Control Regularization was originally proposed and applied to GANs\u201d\n\nR1: Although spectrum control has been previously used in training GANs, using it in the setting of training neural language models is arguably novel. Furthermore, our method of controlling the singular value using prior distributions is different from Jiang et al. 2019, and is essential to improve the performance of neural language generation. Directly applying their penalty functions for training GANs can deteriorate the training of neural language models. For example, the test PPL of LSTM on the WikiText-2 dataset using their best penalty function D-optimal Reg is 94.8, which is even worse the the baseline method with 66.0 test PPL (the lower PPL, the better). This is because their method will encourage all the singular values close to the largest one, and learned word representations will lose the power of modeling contextual information. We have added this additional comparison result in Table 6 in Appendix C for the training of LSTM. We will add results for training Transformer-based models if time allows.\n\n\nQ2: \u201cThe author motivate the approach by showing that the singular values of embedding weight matrices, although I am not convinced that it is such a big issue.\u201d\n\nR2: The singular values are indeed crucial to the expressive power of the embedding matrix of the neural language model, and therefore are very important for many down streaming NLP tasks. Previous studies (Gao et al. 2019b, Ethayarajh 2019) have pointed out that the contextualized embedding matrix learned end-to-end are anisotropic, while the isotropic property of the static word embedding has been shown to be very beneficial to their expressive power (Arora et al. 2016, Mu & Viswanath, 2018). In addition, controlling the singular value decay of the static word embedding can encourage its isotropic property (Mu & Viswanath, 2018) and thus increases its expressive power and benefits the downstream task performance. All these studies suggest that the singular values of embedding weight matrices are critical for improving its expressive power. In addition, as confirmed by our experiments, our proposed Spectrum Control Regularization can indeed promote the isotropy of the contextualized embedding matrix (shown in Figure 3 and Table 3), and further improve the performance on language modeling and machine translation.\n\n\nQ3: \u201cIn terms of experimental results authors show a very slight improvement over strong baseline models\u201d\n\nR3: The improvements of our method are justified since our method improves 0.8 test PPL over the state-of-the-art standard Transformer-XL model on language modeling for the first time, and 1.5 BLEU score over Transformer model on machine translation. Note that they are very strong baselines and achieving such improvements is non-trivial and should be considered to be significant. We show that by only regularizing the output embedding matrix using our method can already achieve such improvements. In addition, our method can be combined with other methods that focus on the encoding layers to further improve neural language generation, which will be our future work.\n\n\nQ4: \u201cthe contribution is very marginal\u201d\n\nR4: We would like to emphasize the contributions of our paper as follows: (1) a novel spectrum control method, i.e., using two prior distributions for controlling the singular value distribution, to improve the training of neural language models, which is different from previous spectrum control method for training GANs, and is motivated from a very different perspective; (2) extensive experiments to validate the generality and effectiveness of our proposed method; (3) a theoretical analysis to justify our proposed method; and (4) a thorough analysis of promoting isotropy of contextualized word embedding with our method, which has only been studied for the static word embedding before. We believe the contributions of our work are definitely not marginal."}, "signatures": ["ICLR.cc/2020/Conference/Paper1146/Authors"], "readers": ["everyone"], "nonreaders": [], "writers": ["ICLR.cc/2020/Conference/Paper1146/Authors", "ICLR.cc/2020/Conference"], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Improving Neural Language Generation with Spectrum Control", "authors": ["Lingxiao Wang", "Jing Huang", "Kevin Huang", "Ziniu Hu", "Guangtao Wang", "Quanquan Gu"], "authorids": ["lingxw@cs.ucla.edu", "jing.huang@jd.com", "kevin.huang3@jd.com", "bull@cs.ucla.edu", "guangtao.wang@jd.com", "qgu@cs.ucla.edu"], "keywords": [], "abstract": "Recent Transformer-based models such as Transformer-XL and BERT have achieved huge success on various natural language processing tasks. However, contextualized embeddings at the output layer of these powerful models tend to degenerate and occupy an anisotropic cone in the vector space, which is called the representation degeneration problem. In this paper, we propose a novel spectrum control approach to address this degeneration problem. The core idea of our method is to directly guide the spectra training of the output embedding matrix with a slow-decaying singular value prior distribution through a reparameterization framework. We show that our proposed method encourages isotropy of the learned word representations while maintains the modeling power of these contextual neural models. We further provide a theoretical analysis and insight on the benefit of modeling singular value distribution. We demonstrate that our spectrum control method outperforms the state-of-the-art Transformer-XL modeling for language model, and various Transformer-based models for machine translation, on common benchmark datasets for these tasks.", "pdf": "/pdf/d829997f1a6b658634736640508b66f39b8aa6d7.pdf", "paperhash": "wang|improving_neural_language_generation_with_spectrum_control", "_bibtex": "@inproceedings{\nWang2020Improving,\ntitle={Improving Neural Language Generation with Spectrum Control},\nauthor={Lingxiao Wang and Jing Huang and Kevin Huang and Ziniu Hu and Guangtao Wang and Quanquan Gu},\nbooktitle={International Conference on Learning Representations},\nyear={2020},\nurl={https://openreview.net/forum?id=ByxY8CNtvr}\n}", "full_presentation_video": "", "original_pdf": "/attachment/3892785993211500b06255cc5353faada41941e0.pdf", "appendix": "", "poster": "", "spotlight_video": "", "slides": ""}, "tags": [], "invitation": {"reply": {"content": {"title": {"required": true, "description": "Brief summary of your comment.", "order": 0, "value-regex": ".{1,500}"}, "comment": {"required": true, "description": "Your comment or reply (max 5000 characters). Add TeX formulas using the following formats: $In-line Formula$ or $$Block Formula$$", "order": 1, "value-regex": "[\\S\\s]{1,5000}"}}, "forum": "ByxY8CNtvr", "readers": {"values-dropdown": ["everyone", "ICLR.cc/2020/Conference/Paper1146/Authors", "ICLR.cc/2020/Conference/Paper1146/AnonReviewer.*", "ICLR.cc/2020/Conference/Paper1146/Reviewers/Submitted", "ICLR.cc/2020/Conference/Paper1146/Reviewers", "ICLR.cc/2020/Conference/Paper1146/Area_Chairs", "ICLR.cc/2020/Conference/Program_Chairs"], "description": "Who your comment will be visible to. If replying to a specific person make sure to add the group they are a member of so that they are able to see your response"}, "writers": {"values-copied": ["ICLR.cc/2020/Conference", "{signatures}"]}, "signatures": {"description": "How your identity will be displayed.", "values-regex": "ICLR.cc/2020/Conference/Paper1146/AnonReviewer[0-9]+|ICLR.cc/2020/Conference/Paper1146/Authors|ICLR.cc/2020/Conference/Paper1146/Area_Chair[0-9]+|ICLR.cc/2020/Conference/Program_Chairs"}}, "readers": ["everyone"], "tcdate": 1569504160531, "tmdate": 1576860558937, "super": "ICLR.cc/2020/Conference/-/Comment", "signatures": ["ICLR.cc/2020/Conference"], "writers": ["ICLR.cc/2020/Conference"], "invitees": ["ICLR.cc/2020/Conference/Paper1146/Authors", "ICLR.cc/2020/Conference/Paper1146/Reviewers", "ICLR.cc/2020/Conference/Paper1146/Area_Chairs", "ICLR.cc/2020/Conference/Program_Chairs"], "id": "ICLR.cc/2020/Conference/Paper1146/-/Official_Comment"}}}, {"id": "Hkx1vlEriB", "original": null, "number": 2, "cdate": 1573367894589, "ddate": null, "tcdate": 1573367894589, "tmdate": 1573367894589, "tddate": null, "forum": "ByxY8CNtvr", "replyto": "Skl7NjSCFS", "invitation": "ICLR.cc/2020/Conference/Paper1146/-/Official_Comment", "content": {"title": "Response to Reviewer #1", "comment": "Thanks for your positive comments. Our method mainly focuses on the output layer of neural language model, and is built on top of the state-of-the-art baselines. Therefore, we believe the improvements ( 0.8 test PPL over the state-of-the-art standard Transformer-XL model, and 1.5 BLEU over the Transformer model) achieved solely by regularizing the output layer using our method are significant. To the best of our knowledge, our work is the first one to show improvement over the state-of-the-art standard Transformer-XL LM model (Dai et al. ACL 2019).\n"}, "signatures": ["ICLR.cc/2020/Conference/Paper1146/Authors"], "readers": ["everyone"], "nonreaders": [], "writers": ["ICLR.cc/2020/Conference/Paper1146/Authors", "ICLR.cc/2020/Conference"], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Improving Neural Language Generation with Spectrum Control", "authors": ["Lingxiao Wang", "Jing Huang", "Kevin Huang", "Ziniu Hu", "Guangtao Wang", "Quanquan Gu"], "authorids": ["lingxw@cs.ucla.edu", "jing.huang@jd.com", "kevin.huang3@jd.com", "bull@cs.ucla.edu", "guangtao.wang@jd.com", "qgu@cs.ucla.edu"], "keywords": [], "abstract": "Recent Transformer-based models such as Transformer-XL and BERT have achieved huge success on various natural language processing tasks. However, contextualized embeddings at the output layer of these powerful models tend to degenerate and occupy an anisotropic cone in the vector space, which is called the representation degeneration problem. In this paper, we propose a novel spectrum control approach to address this degeneration problem. The core idea of our method is to directly guide the spectra training of the output embedding matrix with a slow-decaying singular value prior distribution through a reparameterization framework. We show that our proposed method encourages isotropy of the learned word representations while maintains the modeling power of these contextual neural models. We further provide a theoretical analysis and insight on the benefit of modeling singular value distribution. We demonstrate that our spectrum control method outperforms the state-of-the-art Transformer-XL modeling for language model, and various Transformer-based models for machine translation, on common benchmark datasets for these tasks.", "pdf": "/pdf/d829997f1a6b658634736640508b66f39b8aa6d7.pdf", "paperhash": "wang|improving_neural_language_generation_with_spectrum_control", "_bibtex": "@inproceedings{\nWang2020Improving,\ntitle={Improving Neural Language Generation with Spectrum Control},\nauthor={Lingxiao Wang and Jing Huang and Kevin Huang and Ziniu Hu and Guangtao Wang and Quanquan Gu},\nbooktitle={International Conference on Learning Representations},\nyear={2020},\nurl={https://openreview.net/forum?id=ByxY8CNtvr}\n}", "full_presentation_video": "", "original_pdf": "/attachment/3892785993211500b06255cc5353faada41941e0.pdf", "appendix": "", "poster": "", "spotlight_video": "", "slides": ""}, "tags": [], "invitation": {"reply": {"content": {"title": {"required": true, "description": "Brief summary of your comment.", "order": 0, "value-regex": ".{1,500}"}, "comment": {"required": true, "description": "Your comment or reply (max 5000 characters). Add TeX formulas using the following formats: $In-line Formula$ or $$Block Formula$$", "order": 1, "value-regex": "[\\S\\s]{1,5000}"}}, "forum": "ByxY8CNtvr", "readers": {"values-dropdown": ["everyone", "ICLR.cc/2020/Conference/Paper1146/Authors", "ICLR.cc/2020/Conference/Paper1146/AnonReviewer.*", "ICLR.cc/2020/Conference/Paper1146/Reviewers/Submitted", "ICLR.cc/2020/Conference/Paper1146/Reviewers", "ICLR.cc/2020/Conference/Paper1146/Area_Chairs", "ICLR.cc/2020/Conference/Program_Chairs"], "description": "Who your comment will be visible to. If replying to a specific person make sure to add the group they are a member of so that they are able to see your response"}, "writers": {"values-copied": ["ICLR.cc/2020/Conference", "{signatures}"]}, "signatures": {"description": "How your identity will be displayed.", "values-regex": "ICLR.cc/2020/Conference/Paper1146/AnonReviewer[0-9]+|ICLR.cc/2020/Conference/Paper1146/Authors|ICLR.cc/2020/Conference/Paper1146/Area_Chair[0-9]+|ICLR.cc/2020/Conference/Program_Chairs"}}, "readers": ["everyone"], "tcdate": 1569504160531, "tmdate": 1576860558937, "super": "ICLR.cc/2020/Conference/-/Comment", "signatures": ["ICLR.cc/2020/Conference"], "writers": ["ICLR.cc/2020/Conference"], "invitees": ["ICLR.cc/2020/Conference/Paper1146/Authors", "ICLR.cc/2020/Conference/Paper1146/Reviewers", "ICLR.cc/2020/Conference/Paper1146/Area_Chairs", "ICLR.cc/2020/Conference/Program_Chairs"], "id": "ICLR.cc/2020/Conference/Paper1146/-/Official_Comment"}}}, {"id": "BJg6QHLiYS", "original": null, "number": 1, "cdate": 1571673380864, "ddate": null, "tcdate": 1571673380864, "tmdate": 1572972506740, "tddate": null, "forum": "ByxY8CNtvr", "replyto": "ByxY8CNtvr", "invitation": "ICLR.cc/2020/Conference/Paper1146/-/Official_Review", "content": {"rating": "6: Weak Accept", "experience_assessment": "I have published one or two papers in this area.", "review_assessment:_checking_correctness_of_derivations_and_theory": "I assessed the sensibility of the derivations and theory.", "review_assessment:_checking_correctness_of_experiments": "I carefully checked the experiments.", "title": "Official Blind Review #2", "review_assessment:_thoroughness_in_paper_reading": "I read the paper thoroughly.", "review": "Summary: This paper deals with the representation degeneration problem in neural language generation, as some prior works have found that the singular value distribution of the (input-output-tied) word embedding matrix decays quickly. The authors proposed an approach that directly penalizes deviations of the SV distribution from the two prior distributions, as well as a few other auxiliary losses on the orthogonality of U and V (which are now learnable). The experiments were conducted on small and large scale language modeling datasets as well as the relatively small IWSLT 2014 De-En MT dataset.\n\nPros:\n+ The paper is well-written with great clarity. The dimensionality of the involved matrices (and their decompositions) are clearly provided, and the approach is clearly described. The authors also did a great job providing the details of their experimental setup.\n+ The experiments seem to show consistent improvements over the baseline methods (at least the ones listed by the authors) on a relatively extensive set of tasks (e.g., of both small and large scales, of two different NLP tasks). Via WT2 and WT103, the authors also showed that their method worked on both LSTM and Transformers (which it should, as the SVD on word embedding should be independent of the underlying architecture).\n+ I think studying the expressivity of the output embedding matrix layer is a very interesting (and important) topic for NLP. (e.g., While models like BERT are widely used, the actual most frequently re-used module of BERT is its pre-trained word embeddings.)\n\n---------------------------------\n\nI have a few questions/comments on the work as well:\n\n1) One of the things that is not clearly described in the paper is how the proposed spectrum control method was injected into training in practice. In Section 4.3 (when you do the theoretical analysis), you assumed \"all the other parameters are fixed and well-optimized\". Is that also what you did in training on WT2/WT103 (e.g., first pre-train a model such as Transformer-XL, and then fine-tune its embedding layer using the proposed decomposed method)?\n\n2) How does the runtime and memory cost of your approach compare to the baselines? (e.g., you now need to compute $U^\\top U$, which can also be prohibitively large when the vocabulary size is large; for instance, on the 1-Billion word dataset).\n\n3) I remember the base Transformer-XL model did not use the adaptive embedding/softmax (although they set the `--adaptive` flag, they did use `--div_val 1`). How does your method work in the adaptive setting, where the embedding size $d$ of different words could be very different (e.g., depending on the word frequency)?\n\n4) Regarding the theoretical analysis in Section 4.3. Why is the cross-entropy loss function (essentially NLL loss + softmax) bounded (as is required by Theorem 4.1)? Given a fixed ground-truth $y_i$, if the corresponding predicted likelihood is small (e.g., $\\rightarrow 0$), won't the CE loss be very large? In that case, the generalization bound in Eq. (4.3) would be vacuous, as B would be very large too. Moreover, I'm also not fully convinced by what the theoretical analysis is trying to convey--- that your method \"achieve a trade-off between the training loss and generalization error\"--- but isn't that what (any) regularizations are designed for? The proved bound is no different in nature from any generalization bound with a regularizer (e.g., weight decay), and it does not necessarily reflect the usefulness of the proposed approach. \n\n5) In experiments, you only showed the better performance of the exponential and the polynomial singular value decays (cf. beginning of Sec. 5). Could you show both? Which one is better (and on what task), and by how much? If one is to use your method, which decay scheme do you recommend?\n\n6) Why is MLE-CosReg (Gao et al. 2019b) not compared to in the WikiText-103 and the machine translation task? As the MLE-CosReg approach only involves regularizing the cosine similarity via $\\text{Sum}(\\hat{W}\\hat{W}^\\top)$, it should computationally be even slightly cheaper than the proposed method (you need to compute $\\mathbf{U}^\\top \\mathbf{U}$, which has the same complexity). They also tested on the larger-scale WMT En-De and De-En dataset (which contains 4.5M sentence pairs). Is there any reason that you chose IWSLT 2014 instead?\n\n---------------------------------\n\nSome issues that didn't impact the score:\n\n7) It'd be useful to add labels to the x- and y-axis of the plots in Figure 1.\n\n8) When implementing the method described in Section 4.2, did you explicitly sort the singular values in each iteration, or just set them to learnable parameters (along with learnable $\\mathbf{U}, \\mathbf{V}$) without sorting? If you do sort, do you also \"sort\" the columns of $\\mathbf{U}$ and $\\mathbf{V}$ (as I would expect a one-to-one mapping from $\\sigma_i$ to $\\mathbf{U}_i$, for instance)? If you don't sort, how do you make sure that $\\sigma_i \\geq \\sigma_{i+1}$?\n\n9) Why did you regularize $\\mathbf{U}$ and $\\mathbf{V}$ by both its Frobenius norm and its spectral norm? Does using only one of them compromise the performance?\n\n---------------------------------\n\nOverall, I find this work well-written and well-motivated. The experiments seem to show consistent improvement when using the approach. I vote for weak accept, but I also look forward to the author's response to the questions I raised above."}, "signatures": ["ICLR.cc/2020/Conference/Paper1146/AnonReviewer2"], "readers": ["everyone"], "nonreaders": [], "writers": ["ICLR.cc/2020/Conference/Paper1146/AnonReviewer2"], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Improving Neural Language Generation with Spectrum Control", "authors": ["Lingxiao Wang", "Jing Huang", "Kevin Huang", "Ziniu Hu", "Guangtao Wang", "Quanquan Gu"], "authorids": ["lingxw@cs.ucla.edu", "jing.huang@jd.com", "kevin.huang3@jd.com", "bull@cs.ucla.edu", "guangtao.wang@jd.com", "qgu@cs.ucla.edu"], "keywords": [], "abstract": "Recent Transformer-based models such as Transformer-XL and BERT have achieved huge success on various natural language processing tasks. However, contextualized embeddings at the output layer of these powerful models tend to degenerate and occupy an anisotropic cone in the vector space, which is called the representation degeneration problem. In this paper, we propose a novel spectrum control approach to address this degeneration problem. The core idea of our method is to directly guide the spectra training of the output embedding matrix with a slow-decaying singular value prior distribution through a reparameterization framework. We show that our proposed method encourages isotropy of the learned word representations while maintains the modeling power of these contextual neural models. We further provide a theoretical analysis and insight on the benefit of modeling singular value distribution. We demonstrate that our spectrum control method outperforms the state-of-the-art Transformer-XL modeling for language model, and various Transformer-based models for machine translation, on common benchmark datasets for these tasks.", "pdf": "/pdf/d829997f1a6b658634736640508b66f39b8aa6d7.pdf", "paperhash": "wang|improving_neural_language_generation_with_spectrum_control", "_bibtex": "@inproceedings{\nWang2020Improving,\ntitle={Improving Neural Language Generation with Spectrum Control},\nauthor={Lingxiao Wang and Jing Huang and Kevin Huang and Ziniu Hu and Guangtao Wang and Quanquan Gu},\nbooktitle={International Conference on Learning Representations},\nyear={2020},\nurl={https://openreview.net/forum?id=ByxY8CNtvr}\n}", "full_presentation_video": "", "original_pdf": "/attachment/3892785993211500b06255cc5353faada41941e0.pdf", "appendix": "", "poster": "", "spotlight_video": "", "slides": ""}, "tags": [], "invitation": {"reply": {"content": {"experience_assessment": {"required": true, "order": 4, "description": "Please make a selection that represents your experience correctly", "value-radio": ["I have published in this field for several years.", "I have published one or two papers in this area.", "I have read many papers in this area.", "I do not know much about this area."]}, "rating": {"value-dropdown": ["1: Reject", "3: Weak Reject", "6: Weak Accept", "8: Accept"], "order": 3, "required": true}, "review_assessment:_checking_correctness_of_experiments": {"required": true, "order": 7, "description": "If no experiments, please select N/A", "value-radio": ["I carefully checked the experiments.", "I assessed the sensibility of the experiments.", "I did not assess the experiments.", "N/A"]}, "review_assessment:_thoroughness_in_paper_reading": {"required": true, "order": 5, "description": "If this is not applicable, please select N/A", "value-radio": ["I read the paper thoroughly.", "I read the paper at least twice and used my best judgement in assessing the paper.", "I made a quick assessment of this paper.", "N/A"]}, "title": {"value-regex": "Official Blind Review #[0-9]+", "order": 1, "required": true, "description": "Please replace NUM with your AnonReviewer number (it is the number following \"AnonReviewer\" in your signatures below)", "default": "Official Blind Review #NUM"}, "review": {"value-regex": "[\\S\\s]{500,200000}", "order": 2, "description": "Provide your complete review here (500 - 200000 characters). For guidance in writing a good review, see this brief reviewer guide (https://iclr.cc/Conferences/2020/ReviewerGuide) with three key bullet points.", "required": true}, "review_assessment:_checking_correctness_of_derivations_and_theory": {"required": true, "order": 6, "description": "If no derivations or theory, please select N/A", "value-radio": ["I carefully checked the derivations and theory.", "I assessed the sensibility of the derivations and theory.", "I did not assess the derivations or theory.", "N/A"]}}, "forum": "ByxY8CNtvr", "replyto": "ByxY8CNtvr", "readers": {"values": ["everyone"], "description": "Select all user groups that should be able to read this comment."}, "nonreaders": {"values": []}, "writers": {"values-regex": "ICLR.cc/2020/Conference/Paper1146/AnonReviewer[0-9]+", "description": "How your identity will be displayed."}, "signatures": {"values-regex": "ICLR.cc/2020/Conference/Paper1146/AnonReviewer[0-9]+", "description": "How your identity will be displayed."}}, "expdate": 1575883020246, "duedate": 1572706740000, "multiReply": false, "readers": ["everyone"], "nonreaders": [], "invitees": ["ICLR.cc/2020/Conference/Paper1146/Reviewers"], "noninvitees": [], "tcdate": 1570237741681, "tmdate": 1575883020264, "super": "ICLR.cc/2020/Conference/-/Official_Review", "signatures": ["ICLR.cc/2020/Conference"], "writers": ["ICLR.cc/2020/Conference"], "id": "ICLR.cc/2020/Conference/Paper1146/-/Official_Review"}}}, {"id": "HyeHZ7XCtH", "original": null, "number": 2, "cdate": 1571857149210, "ddate": null, "tcdate": 1571857149210, "tmdate": 1572972506702, "tddate": null, "forum": "ByxY8CNtvr", "replyto": "ByxY8CNtvr", "invitation": "ICLR.cc/2020/Conference/Paper1146/-/Official_Review", "content": {"experience_assessment": "I have published in this field for several years.", "rating": "3: Weak Reject", "review_assessment:_thoroughness_in_paper_reading": "I read the paper at least twice and used my best judgement in assessing the paper.", "review_assessment:_checking_correctness_of_experiments": "I assessed the sensibility of the experiments.", "title": "Official Blind Review #3", "review_assessment:_checking_correctness_of_derivations_and_theory": "I assessed the sensibility of the derivations and theory.", "review": "Authors propose to apply Spectrum control regularization to the embedding of weight matrices in NLP problems such as language modeling and neural machine translation. Spectrum Control Regularization was originally proposed and applied to GANs (Jiang et al 2019)\n\nThe author motivate the approach by showing that the singular values of embedding weight matrices, although I am not convinced that it is such a big issue. In terms of experimental results authors show a very slight improvement over strong baseline models, that further shows an evidence that regularization singular values of embedding matrices is not very important. \n\nOverall the paper is written well, however the contribution is very marginal.\n"}, "signatures": ["ICLR.cc/2020/Conference/Paper1146/AnonReviewer3"], "readers": ["everyone"], "nonreaders": [], "writers": ["ICLR.cc/2020/Conference/Paper1146/AnonReviewer3"], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Improving Neural Language Generation with Spectrum Control", "authors": ["Lingxiao Wang", "Jing Huang", "Kevin Huang", "Ziniu Hu", "Guangtao Wang", "Quanquan Gu"], "authorids": ["lingxw@cs.ucla.edu", "jing.huang@jd.com", "kevin.huang3@jd.com", "bull@cs.ucla.edu", "guangtao.wang@jd.com", "qgu@cs.ucla.edu"], "keywords": [], "abstract": "Recent Transformer-based models such as Transformer-XL and BERT have achieved huge success on various natural language processing tasks. However, contextualized embeddings at the output layer of these powerful models tend to degenerate and occupy an anisotropic cone in the vector space, which is called the representation degeneration problem. In this paper, we propose a novel spectrum control approach to address this degeneration problem. The core idea of our method is to directly guide the spectra training of the output embedding matrix with a slow-decaying singular value prior distribution through a reparameterization framework. We show that our proposed method encourages isotropy of the learned word representations while maintains the modeling power of these contextual neural models. We further provide a theoretical analysis and insight on the benefit of modeling singular value distribution. We demonstrate that our spectrum control method outperforms the state-of-the-art Transformer-XL modeling for language model, and various Transformer-based models for machine translation, on common benchmark datasets for these tasks.", "pdf": "/pdf/d829997f1a6b658634736640508b66f39b8aa6d7.pdf", "paperhash": "wang|improving_neural_language_generation_with_spectrum_control", "_bibtex": "@inproceedings{\nWang2020Improving,\ntitle={Improving Neural Language Generation with Spectrum Control},\nauthor={Lingxiao Wang and Jing Huang and Kevin Huang and Ziniu Hu and Guangtao Wang and Quanquan Gu},\nbooktitle={International Conference on Learning Representations},\nyear={2020},\nurl={https://openreview.net/forum?id=ByxY8CNtvr}\n}", "full_presentation_video": "", "original_pdf": "/attachment/3892785993211500b06255cc5353faada41941e0.pdf", "appendix": "", "poster": "", "spotlight_video": "", "slides": ""}, "tags": [], "invitation": {"reply": {"content": {"experience_assessment": {"required": true, "order": 4, "description": "Please make a selection that represents your experience correctly", "value-radio": ["I have published in this field for several years.", "I have published one or two papers in this area.", "I have read many papers in this area.", "I do not know much about this area."]}, "rating": {"value-dropdown": ["1: Reject", "3: Weak Reject", "6: Weak Accept", "8: Accept"], "order": 3, "required": true}, "review_assessment:_checking_correctness_of_experiments": {"required": true, "order": 7, "description": "If no experiments, please select N/A", "value-radio": ["I carefully checked the experiments.", "I assessed the sensibility of the experiments.", "I did not assess the experiments.", "N/A"]}, "review_assessment:_thoroughness_in_paper_reading": {"required": true, "order": 5, "description": "If this is not applicable, please select N/A", "value-radio": ["I read the paper thoroughly.", "I read the paper at least twice and used my best judgement in assessing the paper.", "I made a quick assessment of this paper.", "N/A"]}, "title": {"value-regex": "Official Blind Review #[0-9]+", "order": 1, "required": true, "description": "Please replace NUM with your AnonReviewer number (it is the number following \"AnonReviewer\" in your signatures below)", "default": "Official Blind Review #NUM"}, "review": {"value-regex": "[\\S\\s]{500,200000}", "order": 2, "description": "Provide your complete review here (500 - 200000 characters). For guidance in writing a good review, see this brief reviewer guide (https://iclr.cc/Conferences/2020/ReviewerGuide) with three key bullet points.", "required": true}, "review_assessment:_checking_correctness_of_derivations_and_theory": {"required": true, "order": 6, "description": "If no derivations or theory, please select N/A", "value-radio": ["I carefully checked the derivations and theory.", "I assessed the sensibility of the derivations and theory.", "I did not assess the derivations or theory.", "N/A"]}}, "forum": "ByxY8CNtvr", "replyto": "ByxY8CNtvr", "readers": {"values": ["everyone"], "description": "Select all user groups that should be able to read this comment."}, "nonreaders": {"values": []}, "writers": {"values-regex": "ICLR.cc/2020/Conference/Paper1146/AnonReviewer[0-9]+", "description": "How your identity will be displayed."}, "signatures": {"values-regex": "ICLR.cc/2020/Conference/Paper1146/AnonReviewer[0-9]+", "description": "How your identity will be displayed."}}, "expdate": 1575883020246, "duedate": 1572706740000, "multiReply": false, "readers": ["everyone"], "nonreaders": [], "invitees": ["ICLR.cc/2020/Conference/Paper1146/Reviewers"], "noninvitees": [], "tcdate": 1570237741681, "tmdate": 1575883020264, "super": "ICLR.cc/2020/Conference/-/Official_Review", "signatures": ["ICLR.cc/2020/Conference"], "writers": ["ICLR.cc/2020/Conference"], "id": "ICLR.cc/2020/Conference/Paper1146/-/Official_Review"}}}, {"id": "Skl7NjSCFS", "original": null, "number": 3, "cdate": 1571867434925, "ddate": null, "tcdate": 1571867434925, "tmdate": 1572972506655, "tddate": null, "forum": "ByxY8CNtvr", "replyto": "ByxY8CNtvr", "invitation": "ICLR.cc/2020/Conference/Paper1146/-/Official_Review", "content": {"experience_assessment": "I have read many papers in this area.", "rating": "6: Weak Accept", "review_assessment:_thoroughness_in_paper_reading": "I read the paper at least twice and used my best judgement in assessing the paper.", "review_assessment:_checking_correctness_of_experiments": "I assessed the sensibility of the experiments.", "title": "Official Blind Review #1", "review_assessment:_checking_correctness_of_derivations_and_theory": "I assessed the sensibility of the derivations and theory.", "review": "The paper proposes a regularizer for the output representation of transformer NNs, based on the singular value distribution to encourage learning of richer representations and avoid fast decay of singular values previously reported for NNs with softmax outputs.\nIn particular, the embedding matrix is parametrized as the product of a matrix U, a diagonal matrix Sigma and a matrix V. U and V are encouraged towards orhogonality using additional penalties similar to Lagrangian augmentation. Finally, a desired singular value distribution (exponential or polynomial decay) is encouraged by adding an appropriate regularization penalty on the entries of Sigma.\n\nThe authors present a generalization error bound that relates expected loss, training loss and singular value distribution to motiveate the choice of the regularizer.\nExperiments are provided for a machine translation and languate modeling, showing mild improvements of the proposed regularziaer over the state-of-the-art baselines.\n\nThe paper is well written, notation is clearly introduced and used in consistent manner, mathematical derivations are clear and easy to follow.\n\n"}, "signatures": ["ICLR.cc/2020/Conference/Paper1146/AnonReviewer1"], "readers": ["everyone"], "nonreaders": [], "writers": ["ICLR.cc/2020/Conference/Paper1146/AnonReviewer1"], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Improving Neural Language Generation with Spectrum Control", "authors": ["Lingxiao Wang", "Jing Huang", "Kevin Huang", "Ziniu Hu", "Guangtao Wang", "Quanquan Gu"], "authorids": ["lingxw@cs.ucla.edu", "jing.huang@jd.com", "kevin.huang3@jd.com", "bull@cs.ucla.edu", "guangtao.wang@jd.com", "qgu@cs.ucla.edu"], "keywords": [], "abstract": "Recent Transformer-based models such as Transformer-XL and BERT have achieved huge success on various natural language processing tasks. However, contextualized embeddings at the output layer of these powerful models tend to degenerate and occupy an anisotropic cone in the vector space, which is called the representation degeneration problem. In this paper, we propose a novel spectrum control approach to address this degeneration problem. The core idea of our method is to directly guide the spectra training of the output embedding matrix with a slow-decaying singular value prior distribution through a reparameterization framework. We show that our proposed method encourages isotropy of the learned word representations while maintains the modeling power of these contextual neural models. We further provide a theoretical analysis and insight on the benefit of modeling singular value distribution. We demonstrate that our spectrum control method outperforms the state-of-the-art Transformer-XL modeling for language model, and various Transformer-based models for machine translation, on common benchmark datasets for these tasks.", "pdf": "/pdf/d829997f1a6b658634736640508b66f39b8aa6d7.pdf", "paperhash": "wang|improving_neural_language_generation_with_spectrum_control", "_bibtex": "@inproceedings{\nWang2020Improving,\ntitle={Improving Neural Language Generation with Spectrum Control},\nauthor={Lingxiao Wang and Jing Huang and Kevin Huang and Ziniu Hu and Guangtao Wang and Quanquan Gu},\nbooktitle={International Conference on Learning Representations},\nyear={2020},\nurl={https://openreview.net/forum?id=ByxY8CNtvr}\n}", "full_presentation_video": "", "original_pdf": "/attachment/3892785993211500b06255cc5353faada41941e0.pdf", "appendix": "", "poster": "", "spotlight_video": "", "slides": ""}, "tags": [], "invitation": {"reply": {"content": {"experience_assessment": {"required": true, "order": 4, "description": "Please make a selection that represents your experience correctly", "value-radio": ["I have published in this field for several years.", "I have published one or two papers in this area.", "I have read many papers in this area.", "I do not know much about this area."]}, "rating": {"value-dropdown": ["1: Reject", "3: Weak Reject", "6: Weak Accept", "8: Accept"], "order": 3, "required": true}, "review_assessment:_checking_correctness_of_experiments": {"required": true, "order": 7, "description": "If no experiments, please select N/A", "value-radio": ["I carefully checked the experiments.", "I assessed the sensibility of the experiments.", "I did not assess the experiments.", "N/A"]}, "review_assessment:_thoroughness_in_paper_reading": {"required": true, "order": 5, "description": "If this is not applicable, please select N/A", "value-radio": ["I read the paper thoroughly.", "I read the paper at least twice and used my best judgement in assessing the paper.", "I made a quick assessment of this paper.", "N/A"]}, "title": {"value-regex": "Official Blind Review #[0-9]+", "order": 1, "required": true, "description": "Please replace NUM with your AnonReviewer number (it is the number following \"AnonReviewer\" in your signatures below)", "default": "Official Blind Review #NUM"}, "review": {"value-regex": "[\\S\\s]{500,200000}", "order": 2, "description": "Provide your complete review here (500 - 200000 characters). For guidance in writing a good review, see this brief reviewer guide (https://iclr.cc/Conferences/2020/ReviewerGuide) with three key bullet points.", "required": true}, "review_assessment:_checking_correctness_of_derivations_and_theory": {"required": true, "order": 6, "description": "If no derivations or theory, please select N/A", "value-radio": ["I carefully checked the derivations and theory.", "I assessed the sensibility of the derivations and theory.", "I did not assess the derivations or theory.", "N/A"]}}, "forum": "ByxY8CNtvr", "replyto": "ByxY8CNtvr", "readers": {"values": ["everyone"], "description": "Select all user groups that should be able to read this comment."}, "nonreaders": {"values": []}, "writers": {"values-regex": "ICLR.cc/2020/Conference/Paper1146/AnonReviewer[0-9]+", "description": "How your identity will be displayed."}, "signatures": {"values-regex": "ICLR.cc/2020/Conference/Paper1146/AnonReviewer[0-9]+", "description": "How your identity will be displayed."}}, "expdate": 1575883020246, "duedate": 1572706740000, "multiReply": false, "readers": ["everyone"], "nonreaders": [], "invitees": ["ICLR.cc/2020/Conference/Paper1146/Reviewers"], "noninvitees": [], "tcdate": 1570237741681, "tmdate": 1575883020264, "super": "ICLR.cc/2020/Conference/-/Official_Review", "signatures": ["ICLR.cc/2020/Conference"], "writers": ["ICLR.cc/2020/Conference"], "id": "ICLR.cc/2020/Conference/Paper1146/-/Official_Review"}}}, {"id": "H1lsI7xtcH", "original": null, "number": 1, "cdate": 1572565843286, "ddate": null, "tcdate": 1572565843286, "tmdate": 1572565843286, "tddate": null, "forum": "ByxY8CNtvr", "replyto": "BJlDmk6wcS", "invitation": "ICLR.cc/2020/Conference/Paper1146/-/Official_Comment", "content": {"title": "Re: Difference between Jiang et al. ICLR 2019 and yours?", "comment": "Although the concept of \u201cspectrum control\u201d was used both in our paper and Jiang et al.\u2019s paper, the problems studied in both papers are totally different: our paper studies neural language generation, while Jiang et al. study training GAN. Therefore, our motivation of using spectral control is coming from a very different perspective, as we stated in the introduction section and illustrated in Figures 1 and 2.\n\nTo achieve the goal of spectrum control efficiently, we also propose to use the SVD reparameterization as in Jiang et al., 2019. Note that SVD reparameterization in Section 4.1 is standard and has been widely used in the literature such as model compression, training DNNs, matrix completion, and analyzing word embeddings. We don\u2019t tweak or copy anything from Jiang et al. 2019. \n\nFurthermore, the method of controlling the singular value distribution we proposed in Section 4.2 is different from that in Jiang et al. 2019, and is essential to improve the performance of the neural language generation. In fact, the penalty function proposed in Jiang et al.\u2019s paper can deteriorate the training of neural language models. To see this, our proposed prior distributions as shown in Figure 2 in our paper are fundamentally different from the singular value distributions learned using their penalty functions (See Figure 1 and Table 7 in Jiang et al.\u2019s paper). Figure 1 in their paper suggests that their penalty function, i.e., D-optimal Reg, will encourage all the singular values close to 1, which is well aligned with their motivation for training GAN. However, if we use such penalty function to train neural language models, the learned word representations will lose the power of modeling contextual information, and can result in much worse results than the baseline methods. \n\nWe will emphasize the key differences mentioned above in Section 4.1 and Section 4.2 in the revision during the author response phase. "}, "signatures": ["ICLR.cc/2020/Conference/Paper1146/Authors"], "readers": ["everyone"], "nonreaders": [], "writers": ["ICLR.cc/2020/Conference/Paper1146/Authors", "ICLR.cc/2020/Conference"], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Improving Neural Language Generation with Spectrum Control", "authors": ["Lingxiao Wang", "Jing Huang", "Kevin Huang", "Ziniu Hu", "Guangtao Wang", "Quanquan Gu"], "authorids": ["lingxw@cs.ucla.edu", "jing.huang@jd.com", "kevin.huang3@jd.com", "bull@cs.ucla.edu", "guangtao.wang@jd.com", "qgu@cs.ucla.edu"], "keywords": [], "abstract": "Recent Transformer-based models such as Transformer-XL and BERT have achieved huge success on various natural language processing tasks. However, contextualized embeddings at the output layer of these powerful models tend to degenerate and occupy an anisotropic cone in the vector space, which is called the representation degeneration problem. In this paper, we propose a novel spectrum control approach to address this degeneration problem. The core idea of our method is to directly guide the spectra training of the output embedding matrix with a slow-decaying singular value prior distribution through a reparameterization framework. We show that our proposed method encourages isotropy of the learned word representations while maintains the modeling power of these contextual neural models. We further provide a theoretical analysis and insight on the benefit of modeling singular value distribution. We demonstrate that our spectrum control method outperforms the state-of-the-art Transformer-XL modeling for language model, and various Transformer-based models for machine translation, on common benchmark datasets for these tasks.", "pdf": "/pdf/d829997f1a6b658634736640508b66f39b8aa6d7.pdf", "paperhash": "wang|improving_neural_language_generation_with_spectrum_control", "_bibtex": "@inproceedings{\nWang2020Improving,\ntitle={Improving Neural Language Generation with Spectrum Control},\nauthor={Lingxiao Wang and Jing Huang and Kevin Huang and Ziniu Hu and Guangtao Wang and Quanquan Gu},\nbooktitle={International Conference on Learning Representations},\nyear={2020},\nurl={https://openreview.net/forum?id=ByxY8CNtvr}\n}", "full_presentation_video": "", "original_pdf": "/attachment/3892785993211500b06255cc5353faada41941e0.pdf", "appendix": "", "poster": "", "spotlight_video": "", "slides": ""}, "tags": [], "invitation": {"reply": {"content": {"title": {"required": true, "description": "Brief summary of your comment.", "order": 0, "value-regex": ".{1,500}"}, "comment": {"required": true, "description": "Your comment or reply (max 5000 characters). Add TeX formulas using the following formats: $In-line Formula$ or $$Block Formula$$", "order": 1, "value-regex": "[\\S\\s]{1,5000}"}}, "forum": "ByxY8CNtvr", "readers": {"values-dropdown": ["everyone", "ICLR.cc/2020/Conference/Paper1146/Authors", "ICLR.cc/2020/Conference/Paper1146/AnonReviewer.*", "ICLR.cc/2020/Conference/Paper1146/Reviewers/Submitted", "ICLR.cc/2020/Conference/Paper1146/Reviewers", "ICLR.cc/2020/Conference/Paper1146/Area_Chairs", "ICLR.cc/2020/Conference/Program_Chairs"], "description": "Who your comment will be visible to. If replying to a specific person make sure to add the group they are a member of so that they are able to see your response"}, "writers": {"values-copied": ["ICLR.cc/2020/Conference", "{signatures}"]}, "signatures": {"description": "How your identity will be displayed.", "values-regex": "ICLR.cc/2020/Conference/Paper1146/AnonReviewer[0-9]+|ICLR.cc/2020/Conference/Paper1146/Authors|ICLR.cc/2020/Conference/Paper1146/Area_Chair[0-9]+|ICLR.cc/2020/Conference/Program_Chairs"}}, "readers": ["everyone"], "tcdate": 1569504160531, "tmdate": 1576860558937, "super": "ICLR.cc/2020/Conference/-/Comment", "signatures": ["ICLR.cc/2020/Conference"], "writers": ["ICLR.cc/2020/Conference"], "invitees": ["ICLR.cc/2020/Conference/Paper1146/Authors", "ICLR.cc/2020/Conference/Paper1146/Reviewers", "ICLR.cc/2020/Conference/Paper1146/Area_Chairs", "ICLR.cc/2020/Conference/Program_Chairs"], "id": "ICLR.cc/2020/Conference/Paper1146/-/Official_Comment"}}}, {"id": "BJlDmk6wcS", "original": null, "number": 1, "cdate": 1572486943436, "ddate": null, "tcdate": 1572486943436, "tmdate": 1572487883555, "tddate": null, "forum": "ByxY8CNtvr", "replyto": "ByxY8CNtvr", "invitation": "ICLR.cc/2020/Conference/Paper1146/-/Public_Comment", "content": {"title": "Difference between Jiang et al. ICLR 2019 and yours?", "comment": "On Page 3, you mentioned that your proposed method is \"inspired by the spectrum control that encourages slow singular value decay in Generative Adversarial Network (GAN) training (Jiang, 2019)\".\n\nHowever, when I compared your paper with Jiang, 2019 \n\nhttps://openreview.net/pdf?id=rJNH6sAqY7), \n\nI found that your proposed method is just a very incremental tweak of Jiang. 2019. Your sections 4.1 and 4.2 are just Sections 2.1 and 2.2 in Jiang, 2019. You only changed a bit on the penalty of the singular values. I guess your change is not essential. The penalty function proposed in Jiang, 2019 should also be able to improve the training. \n\nThroughout your Sections 4.1 and 4.2, you never mentioned that all these have appeared in Jiang et al. 2019. In a nut shell, you basically copied the spectrum control method in Jiang, 2019, and claimed it as something new."}, "signatures": ["~Richardo_Del_Potror1"], "readers": ["everyone"], "nonreaders": [], "writers": ["~Richardo_Del_Potror1", "ICLR.cc/2020/Conference"], "details": {"replyCount": 0, "writable": false, "overwriting": [], "revisions": false, "forumContent": {"title": "Improving Neural Language Generation with Spectrum Control", "authors": ["Lingxiao Wang", "Jing Huang", "Kevin Huang", "Ziniu Hu", "Guangtao Wang", "Quanquan Gu"], "authorids": ["lingxw@cs.ucla.edu", "jing.huang@jd.com", "kevin.huang3@jd.com", "bull@cs.ucla.edu", "guangtao.wang@jd.com", "qgu@cs.ucla.edu"], "keywords": [], "abstract": "Recent Transformer-based models such as Transformer-XL and BERT have achieved huge success on various natural language processing tasks. However, contextualized embeddings at the output layer of these powerful models tend to degenerate and occupy an anisotropic cone in the vector space, which is called the representation degeneration problem. In this paper, we propose a novel spectrum control approach to address this degeneration problem. The core idea of our method is to directly guide the spectra training of the output embedding matrix with a slow-decaying singular value prior distribution through a reparameterization framework. We show that our proposed method encourages isotropy of the learned word representations while maintains the modeling power of these contextual neural models. We further provide a theoretical analysis and insight on the benefit of modeling singular value distribution. We demonstrate that our spectrum control method outperforms the state-of-the-art Transformer-XL modeling for language model, and various Transformer-based models for machine translation, on common benchmark datasets for these tasks.", "pdf": "/pdf/d829997f1a6b658634736640508b66f39b8aa6d7.pdf", "paperhash": "wang|improving_neural_language_generation_with_spectrum_control", "_bibtex": "@inproceedings{\nWang2020Improving,\ntitle={Improving Neural Language Generation with Spectrum Control},\nauthor={Lingxiao Wang and Jing Huang and Kevin Huang and Ziniu Hu and Guangtao Wang and Quanquan Gu},\nbooktitle={International Conference on Learning Representations},\nyear={2020},\nurl={https://openreview.net/forum?id=ByxY8CNtvr}\n}", "full_presentation_video": "", "original_pdf": "/attachment/3892785993211500b06255cc5353faada41941e0.pdf", "appendix": "", "poster": "", "spotlight_video": "", "slides": ""}, "tags": [], "invitation": {"reply": {"content": {"title": {"required": true, "description": "Brief summary of your comment.", "order": 0, "value-regex": ".{1,500}"}, "comment": {"required": true, "description": "Your comment or reply (max 5000 characters). 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"Add the flour, stirring well, to make a pasty mixture. Whisk in the milk and the broth. Add the corn and the cream cheese and allow to heat through. Add the garlic salt, black pepper and cayenne pepper to taste. Stir together and serve."
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"1 teaspoon garlic salt",
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"ground cayenne pepper to taste"
],
"language": "en-US",
"source": "allrecipes.com",
"tags": [],
"title": "Creamy Corn Soup",
"url": "http://allrecipes.com/recipe/16643/creamy-corn-soup/"
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{
"code": "ART3712C",
"name": "Sculpture: Concepts and Strategies",
"credits": 3,
"description": "Continuation of ART 3701C. Emphasis upon sculptural materials such as mixed media, metal fabrication and casting."
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{"poster":"Red2Fire","date":"2016-05-11T18:51:17.908+0000","title":"Troller / Afk Leute","subforum":"Champions & Gameplay","up_votes":1,"down_votes":1,"body":"also i habe viele games gespielt und es ist mir aufgefallen das es momentan echt viele afk oder troller oder auch flamer gibt. gestern den 10.5.2016 war ich mit 2 leuten am spielen in einem normal und es ist nicht witzig ein 3vs5 zu spielen bitte macht was dagegen oder in anderen fällen {{item:3073}} es ist einfach nur traurig :(","replies":[{"poster":"BlackSugaRose","date":"2016-05-11T19:05:11.002+0000","up_votes":3,"down_votes":0,"body":"Trolls, AFKler etc. gab es immer und wird es wohl immer geben, das Einzige, das du wirklich dagegen unternehmen kannst, ist sie zu reporten und darauf zu hoffen, dass sie eine Strafe erhalten.\nWenn du Flamer im Team hast, benutz einfach die Mute Funktion und lass sie dir nicht die Laune verderben.\nGegen Trolls/AFKler kannst du abgesehen von einem Report, wie bereits erwähnt, im Spiel selbst nichts machen. Aber wenn du allein Spielst, sind in deinem Team 4 Randoms, die potenziell das Spiel kaputt machen könnten und im Gegnerteam 5 (wenn man davon ausgeht, dass du nicht trollst ;) ), somit ist die Wahrscheinlichkeit sogar höher, dass eben diese Leute im Gegnerteam sind und nicht in deinem, noch höher ist die Wahrscheinlichkeit wenn du mit Freunden spielst.\nIm Moment kommt es dir vielleicht so vor, dass du in deinem Team nur Idioten hast, aber auf lange Sicht gleicht sich alles wieder aus.\nLass dir einfach nicht den Spaß nehmen, Reporte die, die es verdient haben und mute die Flamer.","replies":[{"poster":"CKC Zekken","date":"2016-05-11T19:24:34.565+0000","up_votes":1,"down_votes":1,"body":"Das witzige ist, dass ich bis jetzt schon so viele Trolls und AFKs reported hab und trotzdem nie die Benachrichtigung für einen Bann oder ähnliches bekommen hab :/ Rito greift wohl einfach nicht hart genung durch.","replies":[{"poster":"BlackSugaRose","date":"2016-05-11T19:33:11.430+0000","up_votes":3,"down_votes":0,"body":"Also ich hab die schon das eine oder andere mal bekommen.\nIch kann natürlich nicht genau sagen, wie das alles funktioniert, aber stell dir mal vor, dein Internet wär plötzlich ohne Grund weg, ohne dass du was daran ändern kannst. Würdest du dafür gerne gebannt werden, wenn es das erste mal passiert?\nNicht jeder AFKler macht das mit Absicht und viele Spieler, die mal ein schlechtes Spiel haben, behaupten sie würden trollen um nicht als schlechte Spieler dazustehen.\nMan kann nicht pauschal sagen, dass jeder, der mal ein schlechtes Game oder mal Connection Probleme hat gleich eine Bestrafung verdient hat. Und ich weiß auch nicht ob man wirklich für jeden Spieler, den man reported hat eine Meldung bekommt, wenn er bestraft wird. Also spiel einfach weiter und mach dir nicht so einen Kopf über andere Spieler mit denen du vermutlich sowieso nie wieder spielst!","replies":[{"poster":"HiiiiiPower","date":"2016-05-12T07:40:48.690+0000","up_votes":1,"down_votes":1,"body":"> [{quoted}](name=BlackSugaRose,realm=EUW,application-id=Wj1wcocU,discussion-id=HcOk0RMw,comment-id=000000010000,timestamp=2016-05-11T19:33:11.430+0000)\n>\n> Also ich hab die schon das eine oder andere mal bekommen.\n> Ich kann natürlich nicht genau sagen, wie das alles funktioniert, aber stell dir mal vor, dein Internet wär plötzlich ohne Grund weg, ohne dass du was daran ändern kannst. Würdest du dafür gerne gebannt werden, wenn es das erste mal passiert?\n> Nicht jeder AFKler macht das mit Absicht und viele Spieler, die mal ein schlechtes Spiel haben, behaupten sie würden trollen um nicht als schlechte Spieler dazustehen.\n> Man kann nicht pauschal sagen, dass jeder, der mal ein schlechtes Game oder mal Connection Probleme hat gleich eine Bestrafung verdient hat. Und ich weiß auch nicht ob man wirklich für jeden Spieler, den man reported hat eine Meldung bekommt, wenn er bestraft wird. Also spiel einfach weiter und mach dir nicht so einen Kopf über andere Spieler mit denen du vermutlich sowieso nie wieder spielst!\n\nEs wäre auf jeden Fall mal super, wenn alle Spieler mit Highping nicht mehr zocken dürften bzw gar nicht erst Spielen beitreten könnten . Man immer dieses \"iam lagging so hard, ping 1000....\", ja super Leute, aber das habt ihr bestimmt nicht nur mal ab und an. Häufig gehen die Leute dann sogar einfach AFK, manchmal hat man auch den dauerhaften DC'ler, sowas nervt einfach nur in Ranked, wobei es sogar in jedem anderen Modus genauso nervig ist.","replies":[{"poster":"BlackSugaRose","date":"2016-05-12T08:00:14.329+0000","up_votes":3,"down_votes":0,"body":"Also das finde ich absolut schwachsinnig. Sicher ist es nervig einen AFKler im team zu haben, aber noch nerviger ist es selbst AFK zu sein, wenn man keinen Einfluss darauf hat. Jeder Anbieter fällt mal aus oder das Internet ist mal ohne ersichtlichen Grund für ne halbe Stunde weg. Sowas kann man doch nicht vorher wissen. Bei einigen ist es so, dass das Internet sehr wechselhaft ist. Die meiste Zeit hat man einen 30er Ping, aber ab und zu (und wenn es nur alle 2 Wochen mal passiert) geht er dann auf 300 hoch. Manchmal kann man sowas als Spieler nicht beeinflussen. Wer weiß, dass er einen schlechten Ping hat, hat gelernt damit umzugehen und trotzdem zu spielen (so ging es mir 2 Jahre lang). Die Leute, die ihren Ping explizit erwähnen, sind die, die das nicht vorher gewusst haben und dazu hat bestimmt die Hälfte aller Spieler schon dazu gehört (Ausnahmen bestätigen die Regel). Nicht jeder wohnt in einer großen Stadt und hat ne 100k Leitung!\nWenn es allerdings doch ignorante Menschen sein sollten, die nicht damit umgehen können, sich beschweren und regelmäßig AFK gehen kannst du davon ausgehen, dass sich der Leaver Buster darum kümmert.","replies":[{"poster":"Lasse Laufen","date":"2016-05-12T11:16:23.138+0000","up_votes":1,"down_votes":0,"body":"Ein Kollege von mir fliegt jedes 3te Game raus (wegen Internet) und spielt laufend mit 20 min Wartezeit. Noch nie nen Bann dafür kassiert :)","replies":[{"poster":"BlackSugaRose","date":"2016-05-12T13:24:43.348+0000","up_votes":2,"down_votes":0,"body":"20 Min Wartezeit im Sinne von lower priority queue? Wenn ja sollte er aber aufpassen, das ist ja schon ne einschränkung und es kann sein dass wenn das häufig passiert doch noch ein ban folgt","replies":[{"poster":"Red2Fire","date":"2016-05-12T14:53:57.479+0000","up_votes":1,"down_votes":1,"body":"Genau :^) ejj komm mal on black :D","replies":[{"poster":"BlackSugaRose","date":"2016-05-12T15:32:10.271+0000","up_votes":1,"down_votes":0,"body":"***","replies":[{"poster":"Red2Fire","date":"2016-05-12T15:49:43.751+0000","up_votes":1,"down_votes":0,"body":"ok xD :D:D:D!","replies":[]}]}]}]}]}]}]}]},{"poster":"Lasse Laufen","date":"2016-05-12T11:14:36.352+0000","up_votes":1,"down_votes":0,"body":"> [{quoted}](name=CKC Zekken,realm=EUW,application-id=Wj1wcocU,discussion-id=HcOk0RMw,comment-id=00000001,timestamp=2016-05-11T19:24:34.565+0000)\n>\n> Das witzige ist, dass ich bis jetzt schon so viele Trolls und AFKs reported hab und trotzdem nie die Benachrichtigung für einen Bann oder ähnliches bekommen hab :/ Rito greift wohl einfach nicht hart genung durch.\n\nIch habe auch schon oft Flamer Reportet, Afkler, und einmal sogar einen Feeder (5 Tage her, immernoch keine Anzeichen von einem Bann),\nund habe noch NIE eine Meldung bekommen. \n(Zudem muss man ja afkler nicht melden weil die vom Leaverbuster ne niedrige Priorität automatisch bekommen).","replies":[{"poster":"DontKillMySoraka","date":"2016-05-13T10:49:25.967+0000","up_votes":1,"down_votes":0,"body":"Jemand kann gebannt worden sein, den du reported hast, ohne dass du die Benachrichtigung erhältst. Man bekommt sie nur unter bestimmten Bedingungen. \nIch allerdings habe schon 5-6 solche Benachrichtigungen erhalten.","replies":[]},{"poster":"Red2Fire","date":"2016-05-12T11:54:17.972+0000","up_votes":1,"down_votes":0,"body":"riot sieht immer nach :\")","replies":[{"poster":"Lasse Laufen","date":"2016-05-12T13:50:13.290+0000","up_votes":1,"down_votes":0,"body":"Glaubst doch selber ned :^)","replies":[{"poster":"Red2Fire","date":"2016-05-12T14:53:13.698+0000","up_votes":1,"down_votes":0,"body":"natürlich :\"^)","replies":[]}]}]}]},{"poster":"Red2Fire","date":"2016-05-12T10:59:45.857+0000","up_votes":1,"down_votes":0,"body":"doch sie sehen es früher oder später werden dann die leute bestraft","replies":[]}]},{"poster":"Red2Fire","date":"2016-05-11T19:12:51.366+0000","up_votes":1,"down_votes":0,"body":"und danke :) sehr nett von dir ;D{{sticker:slayer-pantheon-thumbs}}","replies":[]}]},{"poster":"Red2Fire","date":"2016-05-12T11:53:42.102+0000","up_votes":1,"down_votes":0,"body":"hahaha ok aber wird er noch kriegen ;)","replies":[]},{"poster":"Red2Fire","date":"2016-05-12T10:59:07.983+0000","up_votes":1,"down_votes":0,"body":"ja aber riot sieht es und sie gehen das ganze auf die spur^^","replies":[]},{"poster":"Red2Fire","date":"2016-05-11T19:11:58.172+0000","up_votes":1,"down_votes":0,"body":"wie heisst du in lol lass mal irgendwann zsm spielen^^\n{{champion:107}}","replies":[]}]} |
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{"date": "2016-08-21", "text": "Hillary for American Chair John\u0412\u00a0Podesta\u0412\u00a0released the following statement:\"We believe the RNC official in the room, the campaign's statement after the meeting and the candidate himself that Donald Trump's immigration plan remains the same as it's always been: tear apart families and deport 16 million people from the United States. One need look no further for confirmation than Donald Trump's own words and the TV ad released\u0412\u00a0on Friday\u0412\u00a0that's being\u0412\u00a0lauded\u0412\u00a0by white supremacists.\"RNC Official:Breitbart: RNC Official at Trump's Hispanic Meeting Debunks False BuzzFeed, Univision Reports that Donald Succumbed to Amnesty ActivistsTrump campaign statement:\u0412\u00a0\"Mr. Trump said nothing today that he hasn't said many times before, including in his convention speech\u0412\u2014enforce ourimmigration laws, uphold the Constitution and be fair and humane while putting American workers first. Today's conversation was productive and enlightening, and Mr. Trump looks forward to speaking with these leaders again soon and often.\" \u0412\u2013\u0412\u00a0Steven Cheung, Trump CampaignDonald Trump's Own Words:TRUMP'S POSITION HAS BEEN THAT HE WOULD \"HUMANELY\" USE A DEPORTATION FORCE\u0412\u00a0TO ROUND-UP AND DEPORT 16 MILLION PEOPLETrump: \"You're Going To Have A Deportation Force, And You're Going To Do It\u0412\u00a0Humanely.\"\u0412\u00a0\"'But still tell me the how. Are you going to have a massive deportation force?' Brzezinski asked.\u0412\u00a0Trump\u0412\u00a0responded affirmatively: 'You're going to have a deportation force, and you're going to do it\u0412\u00a0humanely, and you're going to bring the country \u0412\u2014 and, frankly, the people, because you have some excellent, wonderful people, some fantastic people that have been here for a long period of time.'\" [Washington Post,\u0412\u00a011/11/15]Trump: \"It's Not Only Deportation. It's Building A Wall And I Mean A Real Wall\u0412\u2026 But It's Going To Be Done In A Very\u0412\u00a0Humane\u0412\u00a0Fashion. People Will Have To Go Out, They Are Illegal Immigrants.. They Have To Go Out And They Have To Come Back Legally.\"\u0412\u00a0TRUMP: \"Well first of all, it's not only deportation. It's building a wall and I mean a real wall. Mexico will pay for the wall. Most politicians wouldn't understand how you go about doing that. It will happen. It's basically quite simple. But it's going to be done in a very\u0412\u00a0humane fashion. People will have to go out, they are illegal immigrants, they came in illegally. They have to go out and they have to come back legally. Bret, there will be a deportation, and hopefully they'll be able to come back into the country.\" [Special Report with Bret Baier, Fox News, 11/12/15]Trump: \"You Can Do It On A\u0412\u00a0Humane\u0412\u00a0Basis\u0412\u2026 Good Ones Can Come Back, But They Have To Go Through A Process\" A \"Long Process.\"\u0412\u00a0TRUMP: \"And you can do it on a\u0412\u00a0humane\u0412\u00a0basis. You can do it on a basis where it works. And they come back \u0412\u2013 good ones can come back, but they have to go through a process. We have million of people wanting to get into the country and they are doing it legally, and they're going through this long process, and it's really unfair to them also.\" [Mornings With Maria, Fox Business, 11/6/15]Trump\u0412\u00a0Said Undocumented Immigrants Who Were Rounded Up Were \"Going To Be Happy Because They Want To Be Legalized\u0412\u2026 I Know It Doesn't Sound Nice, But Not Everything Is Nice, Somebody Has To Do It.\"\u0412\u00a0SCOTT PELLEY: \"Let's assume your wall has gone up.\" DONALD\u0412\u00a0TRUMP: \"Good.\" SCOTT PELLEY: \"Eleven, twelve million illegal immigrants\u0412\u2014\" DONALD\u0412\u00a0TRUMP: \"Or whatever the number is.\" SCOTT PELLEY: \"Still in the country, what do you do?\" DONALD\u0412\u00a0TRUMP: \"If they've done well, they're going out and they're coming back in legally. Because you said it\u0412\u2014\" SCOTT PELLEY: \"You're rounding them all up?\" DONALD\u0412\u00a0TRUMP: \"We're rounding them up in a very humane\u0412\u00a0way, in a very nice way. And they're going to be happy because they want to be legalized. And, by the way, I know it doesn't sound nice, but not everything is nice, somebody has to do it.\" SCOTT PELLEY: \"It doesn't sound practical.\" DONALD\u0412\u00a0TRUMP: \"It is practical. It's going to work. They have to come here legally. And, you know, when I talk about the wall, and I said it before, we're going to have a tremendous, beautiful, wide-open door. Nice big door. We want people to come into the country.\" [60 Minutes, CBS, 9/27/15]TRUMP\u0412\u00a0COMPARED HIS \"HUMANE\" MASS DEPORTATION PLAN TO OPERATION WETBACKTrump\u0412\u00a0Compared His \"Humane\" Mass Deportation Plans To Operation Wetback, Saying Eisenhower Did This In The 1950s \"And It Worked.\"\u0412\u00a0\"Trump\u0412\u00a0made his affinity for Operation Wetback clear during an interview with CBS's Scott Pelley in September. Speaking on 60 Minutes Overtime, Pelley asked\u0412\u00a0Trump\u0412\u00a0to explain his plans for curbing illegal immigration. 'We're rounding them up in a very\u0412\u00a0humane\u0412\u00a0way, a very nice way,'\u0412\u00a0Trump\u0412\u00a0said, as he has expressed before. 'What does that roundup look like to you?' Pelley pressed. 'How does it work? Are you going to have cops going door-to-door?'\u0412\u00a0Trump\u0412\u00a0interjected: 'Did you like Eisenhower? Did you like Dwight Eisenhower as a president at all?' 'He did this,' the presidential candidate said. 'He did this in the 1950s with over a million people, and a lot of people don't know that\u0412\u2026and it worked.'\" [Washington Post,\u0412\u00a011/11/15] HEADLINE: \"Donald\u0412\u00a0Trump's 'Humane' 1950s Model For Deportation, 'Operation Wetback', Was Anything But.\"\u0412\u00a0[Washington Post,\u0412\u00a011/11/15]\u0412\u00a0Trump\u0412\u00a0Argued That There Was A Precedent For Mass Deportation Because Eisenhower Did So In The 1950s.TRUMP: \"Well, we're on the same side of it. You know if you back to the early 1950s, Dwight Eisenhower, and I made that point during the debate, he took out in terms of illegal immigration, he felt you had to do it. He was a nice man, a high quality man, but he moved out 1.5 million people and brought them back to where they came from. They were here illegally. I think -- it really does have big precedent. We either have a country or we don't, Sean. We have a country, we have to have borders, we have borders, and we have to have laws. We either have a country or we don't. It's that simple.\" [Hannity, Fox News, 11/10/15]Trump\u0412\u00a0On Moving Undocumented Immigrants Out Of The U.S.: \"Dwight Eisenhower Had The Exact Same Situation And He Moved Out One And A Half Million People And Very Few People Talked About It And It Was A Tough Situation, But What He Did Is He Did It.\"\u0412\u00a0TRUMP: \"We're going to work a plan. You know that in 19 \u0412\u2013 in an early 1950s, Dwight Eisenhower had the exact same situation and he moved out one and a half million people and very few people talked about it and it was a tough situation, but what he did is he did it. And, you know, I like Ike. The expression is I like Ike. That was his whole campaign. He was the nice guy supposedly. He moved out a million and a half people. And actually, he moved them right up to the border and move them over. They came back. Moved them again, they came back, then he brought them all the way south and they never came back. I mean, you know, it's a very famous thing. People don't talk about it.\" [Mornings With Maria, 11/6/15]Trump: \"Dwight Eisenhower Moved Over A Million, It's Actually A Million And A Half People Back In To The South Through The Border Because It Was A Huge Problem. Nobody Ever Mentions It. It Was A Major Operation.\"\u0412\u00a0TRUMP: \"Very detailed. It's very detail, then we explain\u0412\u2013 do you know that Dwight Eisenhower who is a nice general, in the 1950s, do you know that he moved over a million people out and what he did, he brought them to the border and they came right back. Brought them to the boarder, and they came right back. Then what they did is they took them and moved them all the way down south and they never came back. But Dwight Eisenhower moved over a million, it's actually a million and a half people back in to the south through the border because it was a huge problem. Nobody ever mentions it. It was a major operation, a million and a half people which is maybe the equivalent in those days, and he moved them out because we had a huge problem in the 1950s. Nobody ever talks about it.\" [The Today Show, NBC, 10/26/15]More From Trump:HuffPo:\u0412\u00a0Donald Trump: Babies Born To Undocumented Immigrants Aren't U.S. Citizens:\u0412\u00a0Not only does Donald Trump support ending birthright citizenship,\u0412\u00a0the real estate mogul now says children born to undocumentedimmigrants on U.S. soil aren't American citizens at all.\u0412\u00a0\"I don't think they have American citizenship and if you speak to some very, very good lawyers \u0412\u2014 and I know some will disagree \u0412\u2014 but many of them agree with me and you're going to find they do not have American citizenship. We have to start a process where we take back our country. Our country is going to hell,\" Trump said in an interview with CNN\u0412\u00a0on Tuesday\u0412\u00a0night. The current frontrunner for the Republican presidential nomination added that\u0412\u00a0he wants to \"test out\" his views in court and that he would ultimately allow \"good ones\" to apply to return to the U.S. once all undocumented immigrants were deported\u0412\u2026There were an estimated 4.5 million U.S.-born children younger than the age of 18 living with at least one undocumented parent in 2012, according to a 2014 Pew Hispanic Center report.Slate:\u0412\u00a0Trump: Children of Undocumented Immigrants Must be Deported:\u0412\u00a0Deport them all. That seems to be Donald Trump's nuanced message.\u0412\u00a0All undocumented immigrants must be deported and any children they had while in the country should be kicked out as well.\u0412\u00a0\"We're going to keep the families together, but they have to go,\" Trump said on NBC'sMeet the Press. What about the kids who have lived their whole lives in the United States and have nowhere to go? \"They have to go,\" he said. \"We will work with them. They have to go. Chuck, we either have a country, or we don't have a country.\"", "title": "Hillary for America Statement On Trump's Immigration Meeting"}
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"specimenClass": "Tumour",
"specimenSubmitterId": "037-0074-02TR",
"specimenType": "Primary tumour - blood derived (peripheral blood)"
}
}
]
} |
{"code":0,"message":"success","data":{"id":120,"nickName":"✷｡ 🎀 𝒜𝒷𝒽𝒾𝓅𝓈𝒶 𝑅𝒶𝓉𝒽 🎀 ｡✷","avatar":"https://data.flintapp.net/120/public/5.webp","banner":"https://data.flintapp.net/120/public/7.webp","cover":"https://data.flintapp.net/120/public/7.webp","age":28,"gender":"Female","slogan":"","albums":[{"url":"https://data.flintapp.net/120/public/7.webp","thumbnail":"https://data.flintapp.net/120/public/7_thumbnail.webp"},{"url":"https://data.flintapp.net/120/public/9.webp","thumbnail":"https://data.flintapp.net/120/public/9_thumbnail.webp"},{"url":"https://data.flintapp.net/120/public/5.webp","thumbnail":"https://data.flintapp.net/120/public/5_thumbnail.webp"}],"privateAlbums":[{"url":"https://data.flintapp.net/120/private/10.webp","thumbnail":"https://data.flintapp.net/120/private/10_thumbnail.webp"},{"url":"https://data.flintapp.net/120/private/11.webp","thumbnail":"https://data.flintapp.net/120/private/11_thumbnail.webp"},{"url":"https://data.flintapp.net/120/private/1.webp","thumbnail":"https://data.flintapp.net/120/private/1_thumbnail.webp"},{"url":"https://data.flintapp.net/120/private/6.webp","thumbnail":"https://data.flintapp.net/120/private/6_thumbnail.webp"},{"url":"https://data.flintapp.net/120/private/3.webp","thumbnail":"https://data.flintapp.net/120/private/3_thumbnail.webp"},{"url":"https://data.flintapp.net/120/private/2.webp","thumbnail":"https://data.flintapp.net/120/private/2_thumbnail.webp"}],"isVIP":false,"vipExpiredTime":0,"tags":["Strategy games","Music festivals","Blues music","Hip hop music","TV reality shows","Beer","Veganism","Acting","Guitar","Home improvement","Reptiles","Environmentalism","Nature","RVs","biking","Snowboarding","Swimming","Volleyball"],"viewCount":7035}}
|
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