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Titlebook: Neurokinetics; The Dynamics of Neur Albert Gjedde,William R. Bauer,Dean F. Wong Book 2011 Springer-Verlag US 2011 blood-brain transfer.brai

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發(fā)表于 2025-3-21 19:10:37 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Neurokinetics
副標(biāo)題The Dynamics of Neur
編輯Albert Gjedde,William R. Bauer,Dean F. Wong
視頻videohttp://file.papertrans.cn/665/664120/664120.mp4
概述First time these important treatments are presented together in a form understandable to the interested neuroscientist.This book summarizes 20 years of work on the kinetics of blood-brain transfer and
圖書封面Titlebook: Neurokinetics; The Dynamics of Neur Albert Gjedde,William R. Bauer,Dean F. Wong Book 2011 Springer-Verlag US 2011 blood-brain transfer.brai
描述.This book summarizes 20 years of work on the kinetics of blood-brain transfer and metabolism mechanisms in mammalian brain. The substances affiliated with these mechanisms include glucose, amino acids, monocarboxylic acids, and oxygen. These substances are important to energy metabolism and neurotransmission in the mammalian brain at rest and during activation. ...To understand the processes addressed by these mechanisms, the book examines the kinetics of compartmentation and compartmental analysis, particularly as they relate to transporter, enzyme, and receptor function. Compartments are subsets of substances separated by transporters and receptors in membranes, and enzymes in cells. ...This book is divided in six major chapters covering compartmental analysis, kinetic analysis of transport and metabolism, blood-brain transfer and metabolism of glucose, amino acids, and oxygen, and amino acid metabolism and interaction of amino acid metabolites with receptors..
出版日期Book 2011
關(guān)鍵詞blood-brain transfer; brain metabolism; kinetics; mathematics; neuroenergetics
版次1
doihttps://doi.org/10.1007/978-1-4419-7409-9
isbn_softcover978-1-4899-8133-2
isbn_ebook978-1-4419-7409-9
copyrightSpringer-Verlag US 2011
The information of publication is updating

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書目名稱Neurokinetics影響因子(影響力)學(xué)科排名




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發(fā)表于 2025-3-21 21:10:17 | 只看該作者
20 years of work on the kinetics of blood-brain transfer and.This book summarizes 20 years of work on the kinetics of blood-brain transfer and metabolism mechanisms in mammalian brain. The substances affiliated with these mechanisms include glucose, amino acids, monocarboxylic acids, and oxygen. The
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發(fā)表于 2025-3-22 03:39:03 | 只看該作者
nity elders led us along winding footpaths that ascended to nine mountaintops that had been occupied since the early thirteenth century and were abandoned nearly 100 years ago. Surrounding these historic communities are Boreda sacred groves with springs, caves, and boulders that are physical evidenc
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Albert Gjedde,William R. Bauer,Dean F. Wongplicit spatial patterns within these large databases.This book explores computational structure of the exact and approximate spatialautoregression (SAR) model solutions. Estimation of the parameters of the SAR model using Maximum Likelihood (ML) theory is computationally very expensive because of th
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發(fā)表于 2025-3-22 21:06:37 | 只看該作者
Albert Gjedde,William R. Bauer,Dean F. Wongtial patterns within these large databases.This book explores computational structure of the exact and approximate spatialautoregression (SAR) model solutions. Estimation of the parameters of the SAR model using Maximum Likelihood (ML) theory is computationally very expensive because of the need to
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發(fā)表于 2025-3-22 21:43:27 | 只看該作者
Albert Gjedde,William R. Bauer,Dean F. Wongplicit spatial patterns within these large databases.This book explores computational structure of the exact and approximate spatialautoregression (SAR) model solutions. Estimation of the parameters of the SAR model using Maximum Likelihood (ML) theory is computationally very expensive because of th
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發(fā)表于 2025-3-23 04:45:50 | 只看該作者
Albert Gjedde,William R. Bauer,Dean F. Wongplicit spatial patterns within these large databases.This book explores computational structure of the exact and approximate spatialautoregression (SAR) model solutions. Estimation of the parameters of the SAR model using Maximum Likelihood (ML) theory is computationally very expensive because of th
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