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Titlebook: Rationality and Scientific Lifestyle for Health; Ali Akbar Moosavi-Movahedi Book 2021 The Editor(s) (if applicable) and The Author(s), und

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书目名称Rationality and Scientific Lifestyle for Health
编辑Ali Akbar Moosavi-Movahedi
视频video
概述Offers a guide to a healthier lifestyle.Supports the reader in finding ways to live in harmony with nature and shows how a good lifestyle makes a person healthy and happy.States that good sleep is the
丛书名称University of Tehran Science and Humanities Series
图书封面Titlebook: Rationality and Scientific Lifestyle for Health;  Ali Akbar Moosavi-Movahedi Book 2021 The Editor(s) (if applicable) and The Author(s), und
描述.This book argues that, to be healthy, human beings should love nature and stay in balance with it as much as possible. In other words: do not unbalance nature so that your own balance is not disturbed. The best and healthiest way for human beings to live is to find balance in life and nature. In this regard, the book discusses useful, nutritious, functional foods, nutraceuticals and antioxidants, and how natural molecules, which are provided by nature, can be the best medicine for human beings. .At a molecular level, stress is defined by the presence of unbalanced free radicals in the body. Most diseases – especially type 2 diabetes, which accounts for the majority of diabetics – can be traced back to this problem. Our scientific evidence indicates that type 2 diabetes isn’t just a disease resulting from sugar, but also from stress. The book seeks to promote a healthier lifestyle by considering the psychoemotional dimension of wellness. And finally, it contends that good sleep is at the root of health and happiness for humanity, and that unbalanced free radicals are expelled from the body during restful sleep..The authors hope that this book will be a helpful guide and source of p
出版日期Book 2021
关键词Natural Health; Lifestyle Disease; Biomimetic; Bioselectivity; Drug Discovery; Superfoods; Traditional Med
版次1
doihttps://doi.org/10.1007/978-3-030-74326-0
isbn_softcover978-3-030-74328-4
isbn_ebook978-3-030-74326-0Series ISSN 2367-1092 Series E-ISSN 2367-1106
issn_series 2367-1092
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Mehdi Mohammadian,Maryam Salami,Maryam Moghadam,Zahra Emam-Djomeh,Ali Akbar Moosavi-Movahedich that the reprojection error over all cameras is minimized. In the case of incomplete image data our algorithm uses an Expectation Maximization (EM) based scheme that alternates prediction of the missing data and estimation of the affine transformation..We experimentally compare our algorithm to o
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Monireh-Sadat Mousavi,Gholamhossein Riaziorithm is best suited for scenarios in which the likelihood equations do not have a closed form solution, the iterative search is computationally cumbersome and highly dependent on the data length, and there is a risk of convergence to a local maximum. The second application is a scheme for aggregat
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