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Titlebook: Mathematical Modeling in Experimental Nutrition; Andrew J. Clifford,Hans-Georg Müller Book 1998 The Editor(s) (if applicable) and The Auth

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Statistical Issues in Assay Development and Useimitations, the resulting ambiguity in interpreting the data may be great enough to preclude reaching definitive conclusions. To avoid this particular type of experimental failure, scientists should be sufficiently aware of assay-related issues to be able to function as intelligent ‘assay consumers.’
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Book 1998e lion‘s share of nutrient research has focused on defining their role in these processes. Around 1990, however, a major shift began in the way that researchers viewed some nutrients­ particularly the vitamins. This shift was motivated by the discovery that modest declines in vitamin nutritional sta
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Balancing Needs, Efficiency, and Functionality in the Provision of Modeling Software: A Perspective acting the migration of SAAM to the Windows environment, the NIH WinSAAM Project, and we outline the steps taken to ensure its feasibility. In addition, we describe a new paradigm for software development and use which ensures the durability of the software for modeling.
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0065-2598 t time, the lion‘s share of nutrient research has focused on defining their role in these processes. Around 1990, however, a major shift began in the way that researchers viewed some nutrients­ particularly the vitamins. This shift was motivated by the discovery that modest declines in vitamin nutri
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Andrew J. Clifford,Ali Arjomand,Stephen R. Dueker,Philip D. Schneider,Bruce A. Buchholz,John S. Voge
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