30 нояб. 2020 г. ... "OLI IMRON"surasi | Mishari Rashid. 4.7K views · 2 years ago #Mishari_Rashid ... 1:03:02. Go to channel · "Moida" surasi | Mishari Rashid Al Afasi.

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  kuranfihristi.net

(193) Господь наш! Мы услышали глашатая (Мухаммада), который призывал к вере: «Уверуйте в вашего Господа», - и мы уверовали. Господь наш! Прости нам н...

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Одни из вас произошли от других. А тем, которые переселились или были изгнаны из своих жилищ, были подвергнуты мучениям на Моем пути, сражались и были убиты, Я ...

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  islamansiklopedisi.org.tr

Вы являетесь лучшей из общин, появившейся на благо человечества, повелевая совершать одобряемое, удерживая от предосудительного и веруя в Аллаха. Если бы люди ...

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Сура «Семейство Имрана» идёт третьей в Благородном Коране. По наиболее распространенной версии, происхождение её названия своими корнями уходит к семье Имрана, ...

  islam.global

4 янв. 2011 г. ... Qur'oni karim video loyihasi. Shayx Abdulaziz Mansur tarjimasi, Saad Al-Ghamdi tilovati.

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3 янв. 2011 г. ... Мадинада нозил бўлган бу сура икки юз оятдан иборат бўлиб, Қуръондаги узун суралардандир. Унда Мадина шаҳридаги мусулмон жамоатнинг ...

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Oli Imron surasi (arabcha: سورة آل عمران, nomining maʼnosi — Imron oilasi) — Qurʼonning 3-surasi. Madaniy suralardan biri, 200 oyatdan iborat.

  uz.wikipedia.org

24 окт. 2022 г. ... BAQARA SURASI - SHAYX MISHARIY RASHID AL AFASIY. MUHAMMAD - ALI•22M ... Al-Imran, Mishari Al-Afasy. Мишари Рашид Аль-Афаси•214K views · 1:18:36.

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  biriz.biz

OLI IMRON SURASI--РАСУЛБЕК КОРИ surah al-imran very beautifull quran recitation.

  surahquran.com

Es-selâmü aleyküm ve rahmetullâhi ve berakâtüh Allah'ın selâmı, rahmeti ve bereketi üzerinize olsun.

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disease outbreaks like the coronavirus often unfold too quickly for scientists to find a cure . but in the future , artificial intelligence could help researchers do a better job . while it's probably too late for the fledgling technology to play a major role in the current epidemic , there's hope for the next outbreaks . al is good at combing through mounds of data to find connections that make it easier to determine what kinds of treatments could work or which experiments to pursue next . the question is what big data will come up with when it only gets meager scraps of information on a newly emerged illness like covid - 19 , which first emerged late last year in china and has sickened more than 75,000 people in about two months . the fact that researchers managed to produce the gene sequencing of the new virus within weeks of the first reported cases isspromising , since it shows there's far more immediate data available now when outbreaks happen . andrew hopkins , chief executive officer of oxford , england - based startup exscientia ltd. is among those working to help train artificial intelligence for drug discovery . he figures new treatments could go from conception to clinical testing in as little as 18 to 24 months within the next decade , thanks to ai . exscientia desigged a new compound for treating obsessive - compulsivelisorder that's ready to be tested in the lab after less than a year in the initial research phase . that's about five times faster than average , according to the company . cambridge - based healx has a similar approach , but it uses machine learning to find new uses for existing drugs . both companies feed their algorithms with information -- gleaned from sources such as journals , biomedical databases and clinical trials -- to help suggest new treatments for diseases . human supervision the two companies each use a team of human researchers to work alongside the ai to help guide the process . in exscientia's approach , dubbed the centaur chemist , drug designers help teach the algorithms strategies for searching for compounds . healx puts the al's predictions to researchers who analyze the results and decide what to pursue . neil thompson , healx's chief science officer , said the technique could be deployed against an outbreak like the coronavirus as long as it had enough data on the new disease . healx isn't working on tackling the coronavirus or tweaking its technology for outbreaks , but it wouldn't be a stretch . " we're quite close , ” thompson said in an interview . " we wouldn't need to change much about the al algorithms we use . we look at matching drug properties to disease features . " artificial intelligence algorithms are already starting to churn out drugs for the diseases we know about . researchers at the massachusetts institute of technology said on thursday that they'd used the method to identify a powerful new antibiotic compound that could kill an array of troublesome bacteria , even some that are currently resistant to other treatments . one catch for all these technologies is clinical testing . even drugs already safe for use to cure one ailment should be tested again before they're prescribed for another . the process of showing they are safe and effective on a large number of people can take years before going to regulators for review . to be effective , al - based drug developers would have to plan ahead of time , picking out a virus genome likely to cause problems in the future and targeting it when there are few incentives to do so . another obstacle is finding qualified staff . " it's hard to find people who can operate at the intersection of ai and biology , and it's difficult for big companies to make quick decisions on technology like this , " said irina haivas , a partner at venture capital firm atomico and former surgeon who sits on the board of healx . " it's not enough to be an ai engineer , you have to understand and get into the applications of biology

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