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BackgroundWhile healthcare workers (HCWs) are at risk of occupational exposure to SARS-CoV-2 infection. the virus transmission involving them might be exceeding in the non-occupational settings. This study examined the extent of adherence to infection prevention practices (IPPs) against COVID-19 in their daily life and its associated factors among staff members in a national medical c...

Unmanned aerial vehicles (UAVs) are widely used for missions in dynamic environments. Deep Reinforcement Learning (DRL) can find effective strategies for multiple agents that need to cooperate to complete the task. In this article. the challenge of controlling the movement of a fleet of UAVs is addressed by Multi-Agent Deep Reinforcement Learning (MARL).

The study was carried out during the growing seasons 2001-2002 on olive Olea europaea l c. v. Ashrasi . 15 year-old in an orchard of olive trees located in Bashika Uniform trees were chosen in terms of size .

Traditional voltage control methods for distribution networks assume perfect knowledge of the power system model. Nevertheless. the extensive scale of future distribution networks makes it unrealistic to acquire the overall operation state monitoring. Moreover.

Background: Many plant secondary metabolites (PSMs) were shown to intercalate into DNA helix or interact with DNA grooves. This may influence histone-DNA interactions changeing chromatin structure and genome functioning. Methods: Nucleosome stability and linker histone H1.

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