Мост Влюбленных –одна из главных достопримечательностей столицы Тюменской области. Людмила Бондаренко прислала свои фото на конкурс «Самое красивое место Тюменской области» – вид на мост ночью и интересная перспектива с левого берега Туры.
Есть летний кадр и от Евгении Крыловой – с отражением моста в реке Тура.
Мост Влюбленных –одна из главных достопримечательностей столицы Тюменской области. Людмила Бондаренко прислала свои фото на конкурс «Самое красивое место Тюменской области» – вид на мост ночью и интересная перспектива с левого берега Туры.
Есть летний кадр и от Евгении Крыловой – с отражением моста в реке Тура.
Russians and Ukrainians are both prolific users of Telegram. They rely on the app for channels that act as newsfeeds, group chats (both public and private), and one-to-one communication. Since the Russian invasion of Ukraine, Telegram has remained an important lifeline for both Russians and Ukrainians, as a way of staying aware of the latest news and keeping in touch with loved ones. 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.” Stocks dropped on Friday afternoon, as gains made earlier in the day on hopes for diplomatic progress between Russia and Ukraine turned to losses. Technology stocks were hit particularly hard by higher bond yields. The account, "War on Fakes," was created on February 24, the same day Russian President Vladimir Putin announced a "special military operation" and troops began invading Ukraine. The page is rife with disinformation, according to The Atlantic Council's Digital Forensic Research Lab, which studies digital extremism and published a report examining the channel. 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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