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Introduction: The sense of smell is one of the most developed and important senses that forms the bond between the newborn and the mother and allows the newborn to reach the mother's breast. The sense of smell begins to form during intrauterine life, and the sense of smell can be a marking tool for a newborn baby, so that the baby can recognize both his mother and his immediate environment and develop his behaviour accordingly. This is necessary not only for feeding babies but also for them to feel safe and peaceful in their new environment.

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In Internet of Things (IoT) networks, identifying the primary Medium Access Control (MAC) layer protocol which is suited for a service characteristic is necessary based on the requirements of the application. In this paper, we propose Energy Efficient and Group Priority MAC (EEGP-MAC) protocol using Hybrid Q-Learning Honey Badger Algorithm (QL-HBA) for IoT Networks. This algorithm employs reinforcement agents to select an environment based on predefined actions and tasks.

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The outer mitochondrial membrane protein known as mitoNEET was discovered when it was labeled by a photoaffinity derivative of the anti-diabetes medication, pioglitazone. The biological role for mitoNEET and its specific mechanism for achieving this remains an active subject for research. There is accumulating evidence suggesting that mitoNEET could be a component of mitochondrial FeS cofactor biogenesis.

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Air pollution, a global health hazard, significantly impacts mortality, cardiovascular health, mental well-being, and overall human health. This study aimed to investigate the impact of air pollution and meteorological factors on cardiovascular mortality rates in Mashhad City, northeastern Iran in 2017-2020. We utilized a Random Forest (RF) model in this study.

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