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Titlebook: Nutrigenomics and the Brain; Mohamed Salama Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer

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發(fā)表于 2025-3-21 19:32:24 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Nutrigenomics and the Brain
編輯Mohamed Salama
視頻videohttp://file.papertrans.cn/670/669530/669530.mp4
概述Present the role of nutrition on brain function and physiology.Discusses role of data mining in nutrigenomics.Reviews the role of gut microbiota on the gut-brain axis
叢書名稱Nutritional Neurosciences
圖書封面Titlebook: Nutrigenomics and the Brain;  Mohamed Salama Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer
描述.Dr. Mohammed Salama.?is Atlantic senior fellow for Equity in brain health at the Global Brain Health Institute (GBHI) and Associate professor at the Institute of Global Health and Human Ecology at the American University in Cairo (AUC). He established the first Translational Neuroscience Unit in Egypt. Mohamed’s collaborative research led to establishing the Egyptian Network for Neurodegenerative Disorders Mohamed was selected as a SOT Global Senior Scholar in 2013 and Translational/bridging awardee in 2016. He was awarded by Parkinson’s and Movement Disorders Foundation (PMDF) for his continued research in neurodegeneration. Recently, Mohamed and his colleagues succeeded in drafting the first Reference Egyptian Genome and collaborating with other colleagues to start a national cohort (A Longitudinal Study of Egyptian Health Aging [AL-SEHA]). ?.
出版日期Book 2022
關(guān)鍵詞Nutrigenomics; Neurodegenerative disorders; Brain Physiology; Neurological diseases; Nutrition
版次1
doihttps://doi.org/10.1007/978-981-16-9205-5
isbn_softcover978-981-16-9207-9
isbn_ebook978-981-16-9205-5Series ISSN 2730-6712 Series E-ISSN 2730-6720
issn_series 2730-6712
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Mohamed Salama theoretical properties are described and discussed. Moreover, the paper presents results of experiments on real-life data sets, in which a quality of the proposed model is thoroughly evaluated and compared with the state-of-the-art algorithms.
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Tierra Bobo,Mai Magdy,Ali Ray,Mya Vannoy,Ahmad Dakhlallah,Ansaar Rai,Duaa Dakhlallah generalizes geometric measure of area or volume and extends in the abstract manner the Lukasiewicz logical rendering of probability calculus. We give some applications, notably, we extend the relation of betweenness applied by us earlier in robot navigation and we give it the abstract characterization.
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Salma El-Shafie,Andreas Kakarougkasmantics and the algebraic semantics of ILM and ILM-. are investigated. Lastly, in the line of Dunn’s study of logics, the two negations are expressed without the help of the connective of implication, and the resulting logical and algebraic structures are also studied.
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