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Titlebook: Leukocyte Recruitment, Endothelial Cell Adhesion Molecules, and Transcriptional Control; Insights for Drug Di Tucker Collins Book 2001 Spri

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書目名稱Leukocyte Recruitment, Endothelial Cell Adhesion Molecules, and Transcriptional Control
副標(biāo)題Insights for Drug Di
編輯Tucker Collins
視頻videohttp://file.papertrans.cn/586/585308/585308.mp4
圖書封面Titlebook: Leukocyte Recruitment, Endothelial Cell Adhesion Molecules, and Transcriptional Control; Insights for Drug Di Tucker Collins Book 2001 Spri
描述The localized attachment of circulating leukocytes toendothelium has been recognized as the cellular hallmark of theinflammatory response. This adhesive interaction, a necessaryantecedent to the emigration of leukocytes from the blood into thetissues, is mediated by vascular adhesion molecules. .LeukocyteRecruitment, Endothelial Cell Adhesion. .Molecules andTranscriptional Control: Insights for Drug Discovery. outlines someof the cellular and molecular mechanisms of inflammation withcontributions from top researchers..This volume provides an overview of three of these endothelialadhesion molecules, as examples of key mediators of leukocyterecruitment. It reviews the structure and regulation of these cellsurface proteins and focus on the rapidly expanding field oftranscriptional regulation of these inducible proteins, and closeswith a discussion of drug discovery possibilities that target theregulation of leukocyte recruitment. .This book will be of interest for any researchers, in academia orindustry, looking for an overview of leukocyte recruitment or novelapproaches to drug discovery.
出版日期Book 2001
關(guān)鍵詞cell; gene expression; inflammation; protein; proteins; tissue; transcription
版次1
doihttps://doi.org/10.1007/978-1-4615-1565-4
isbn_softcover978-1-4613-5617-2
isbn_ebook978-1-4615-1565-4
copyrightSpringer Science+Business Media New York 2001
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978-1-4613-5617-2Springer Science+Business Media New York 2001
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ssor for school algebra, via a walkthrough of an example. PépiGen is based on our previous work on Pépite, an automatic cognitive diagnosis tool that capitalizes on educational research results. From that prototype, we derived patterns of diagnosis tasks. A pattern models (i) a class of exercises, (
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Rodger P. McEverdent’s state in real-time and then use this state as a basis to provide timely feedback or alter the instructional content. In order to maximize the ITS’ potential to influence learning, the physiological state of students needs to be captured and assessed. Electrocardiogram (ECG) and Galvanic Skin
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Tucker Collins,Kelly-Ann Sheppard,Simos Simeonidis,David W. Roseng environments. Consequently, understanding students’ self-regulated learning behavior has been the subject of increasing interest in the intelligent tutoring systems community. Unfortunately, monitoring these behaviors in real-time has proven challenging. This paper presents an initial investigati
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Frank S. Lee,Robert T. Peters,Zhijian J. Chen,Tom Maniatisarners and their diverse backgrounds, it is taxing to offer real-time support. Learners may post their feelings of confusion and struggle in the respective MOOC forums, but with the large volume of posts and high workloads for MOOC instructors, it is unlikely that the instructors can identify all le
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