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13 октября, около 09:30, обнаружено тело военнослужащего воинской части N Министерства обороны Армении Агаси Серожовича Даллакяна с огнестрельным ранением.

В целях полного выяснения обстоятельств происшествия проводится следствие.

Министерство обороны выражает соболезнования и поддержку семье, близким и сослуживцам военнослужащего.

Минобороны Армении



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13 октября, около 09:30, обнаружено тело военнослужащего воинской части N Министерства обороны Армении Агаси Серожовича Даллакяна с огнестрельным ранением.

В целях полного выяснения обстоятельств происшествия проводится следствие.

Министерство обороны выражает соболезнования и поддержку семье, близким и сослуживцам военнослужащего.

Минобороны Армении

BY Armenpress


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"Like the bombing of the maternity ward in Mariupol," he said, "Even before it hits the news, you see the videos on the Telegram channels." 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. Perpetrators of these scams will create a public group on Telegram to promote these investment packages that are usually accompanied by fake testimonies and sometimes advertised as being Shariah-compliant. Interested investors will be asked to directly message the representatives to begin investing in the various investment packages offered. 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 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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