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Titlebook: Reviews of Physiology, Biochemistry and Pharmacology; Volume: 86 R. H. Adrian,E. Helmreich,A. Weber Book 1979 The Editor(s) (if applicable)

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Epidermolysis Bullosa Acquisita,nt of large structures called anchoring fibrils localized at the dermal-epidermal junction (DEJ) of skin and critical for epidermal – dermal adherence. Classically, EBA presents as a mechanobullous disease with skin fragility and scarring reminiscent of hereditary dystrophic epidermolysis bullosa (D
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The Emergence of Indian Science Community: 1870s to 1940sessionalization of science and advancement of scientific knowledge during 1870s and 1940s. As the chapter demonstrates, leading scientists in this era such as Mahenderlal Sircar, Ashutosh Mukherjee, C. V. Raman, M. N. Saha, P. C.Ray and S. N.Bose, to name some, waged an intellectual struggle against
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First Literacies: Art, Creativity, Play, Constructive Meaning-Makinghrough art and play, children represent thought and action, which underpins their later understanding of the ‘second languages’ of reading, writing and numbering. Key issues such as image-making, graphic action, imagination, narrative, empathetic engagement and internalised thought are analysed as e
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Culture of Peace, a Culture of Peace call for shifts in values, attitudes, and behaviors, we give attention to values that are supportive of peaceful attitudes and behavior. Second, we consider the nature and flexibility of social identity and how it relates to promoting a Culture of Peace. We suggest that humans ar
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Implementing Goals and Targets for Sustainability,do so, the United Nations and other relevant international organizations such as the World Bank Group, and the Organization for Economic Co-operation and Development, would work together to articulate the Millennium Development Goals for 2000–2015. In establishing a set of goals for all actors of so
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Qualitative modeling of physical systems in AI research,a in Artificial Intelligence. In this introductory survey, we discuss motivations for this research, illustrate different approaches by presenting some “classical” systems, point out some issues in relation to mathematics, and provide some references to current work in research and applications.
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Training Neural Networks with Implicit Variance, fast dropout [1]. We have designed our method to respect that probabilistic interpretation of the output units in the loss function. The method is evaluated on a synthetic and a inverse robot dynamics task, yielding superior performance to plain neural networks, Gaussian processes and LWPR in terms of likelihood.
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