💎 سیویل تاکس با حمایتِ ۳۰ انجمنِ علمی مهندسی عمران دانشگاه‌های معتبرِ کشور برگزار می‌کند:
🔸 وبینار با موضوع: عملکرد سازه‌ای تیرها و ستون‌های چوبی مسلح: از مطالعات آزمایشگاهی تا مدل‌سازی تحلیلی (Structural Performance of Reinforced Timber Beams and Columns: From Laboratory Testing to Analytical Modelling)
سخنران: ● پروفسور حمید ولی‌پور 🔻 مرکز مطالعات مهندسی و ایمنی زیرساخت. دانشکده مهندسی عمران و محیط زیست دانشگاه UNSW سیدنی
💎 سیویل تاکس با حمایتِ ۳۰ انجمنِ علمی مهندسی عمران دانشگاه‌های معتبرِ کشور برگزار می‌کند:
🔸 وبینار با موضوع: عملکرد سازه‌ای تیرها و ستون‌های چوبی مسلح: از مطالعات آزمایشگاهی تا مدل‌سازی تحلیلی (Structural Performance of Reinforced Timber Beams and Columns: From Laboratory Testing to Analytical Modelling)
سخنران: ● پروفسور حمید ولی‌پور 🔻 مرکز مطالعات مهندسی و ایمنی زیرساخت. دانشکده مهندسی عمران و محیط زیست دانشگاه UNSW سیدنی
"The result is on this photo: fiery 'greetings' to the invaders," the Security Service of Ukraine wrote alongside a photo showing several military vehicles among plumes of black smoke. NEWS 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. What distinguishes the app from competitors is its use of what's known as channels: Public or private feeds of photos and videos that can be set up by one person or an organization. The channels have become popular with on-the-ground journalists, aid workers and Ukrainian President Volodymyr Zelenskyy, who broadcasts on a Telegram channel. The channels can be followed by an unlimited number of people. Unlike Facebook, Twitter and other popular social networks, there is no advertising on Telegram and the flow of information is not driven by an algorithm. 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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