Titlebook: Innate Tolerance in the CNS; Translational Neurop Jeffrey M. Gidday,Miguel A. Perez-Pinzon,John H. Z Book 2013 Springer Science+Business Me

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Preconditioning for SAH for SAH, potential clinical applications and strategies, conditioning modalities for traumatic brain injury-induced SAH, mechanisms of conditioning-induced protection, selection for outcome measurement of conditioning effects, and ongoing clinical trials and future directions.

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Preconditioning and Intracerebral Hemorrhagear. The causes of ICH are multiple. While spontaneous ICH is often associated with hypertension, other major causes include amyloid angiopathy, aneurysms, arteriovenous malformations, cavernous angiomas, and brain tumors. In addition, secondary cerebral hemorrhage can occur after an ischemic stroke

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The Protective Effects of Ischemic Postconditioning in Experimental Strokeostconditioning refers to the protective effects of reperfusion interruption performed after the restoration of blood flow following stroke. This chapter focuses on the protective effects of ischemic postconditioning in various ischemic models, including in vivo focal and global ischemia models as w

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technologies along with detailed applications of those technThrough the rapid development of proteomics methods and technologies, an enormous amount of data was created, leading to a wide-spread rethinking of strategy design and data interpretation.In Data Mining in Proteomics: From Standards to App

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lved in the precise neuro-endocrine control of ovulation as well as in determining secondary sexual characteristics in developing females. However, emerging evidence suggests that estrogens have much broader effects on human physiology. It is now well-established that estrogen is involved in the mai

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Roger Simontal handling and data collection techniques, tunable syn­ chrotron radiation sources, and high-performance computing have all contributed to developments such as the production and expression of tailored protein domains, the use of the MAD (Multiple Anomalous Dispersion) method, and the collection o

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John W. Thompson,Göran E. Nilsson,Miguel A. Perez-Pinzone analysis of rail track infrastructure inspection. The main work includes as follows: (1) research on intelligent recognition method of fastener defect based on convolutional neural network—by modeling the deep network from the fasteners image of the nationwide rail line, the detection rate of abno

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