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Warning: file_put_contents(aCache/aDaily/post/smolenta/--): Failed to open stream: No such file or directory in /var/www/group-telegram/post.php on line 50 Смоленская лента новостей | Telegram Webview: smolenta/1751 -
Свежая информация по эвакуации школ в Гагаринском районе. -15 школ эвакуировали. 5 из них проверили (4 городских и одна сельская - Баскаковская) в них дети вернулись на занятия. В остальных школах детей распустили по домам и продолжается проверка, - уточнил источник @smolenta.
Свежая информация по эвакуации школ в Гагаринском районе. -15 школ эвакуировали. 5 из них проверили (4 городских и одна сельская - Баскаковская) в них дети вернулись на занятия. В остальных школах детей распустили по домам и продолжается проверка, - уточнил источник @smolenta.
BY Смоленская лента новостей
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These entities are reportedly operating nine Telegram channels with more than five million subscribers to whom they were making recommendations on selected listed scrips. Such recommendations induced the investors to deal in the said scrips, thereby creating artificial volume and price rise. On Feb. 27, however, he admitted from his Russian-language account that "Telegram channels are increasingly becoming a source of unverified information related to Ukrainian events." The SC urges the public to refer to the SC’s I nvestor Alert List before investing. The list contains details of unauthorised websites, investment products, companies and individuals. Members of the public who suspect that they have been approached by unauthorised firms or individuals offering schemes that promise unrealistic returns Markets continued to grapple with the economic and corporate earnings implications relating to the Russia-Ukraine conflict. “We have a ton of uncertainty right now,” said Stephanie Link, chief investment strategist and portfolio manager at Hightower Advisors. “We’re dealing with a war, we’re dealing with inflation. We don’t know what it means to earnings.” For example, WhatsApp restricted the number of times a user could forward something, and developed automated systems that detect and flag objectionable content.
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