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Titlebook: The Political Economy of Trade Conflicts; The Management of Tr Franz Waldenberger Conference proceedings 1994 Springer-Verlag Berlin · Heid

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Sylvia Feilcation communicate, and synchronize their actions, via in-memory transactions. Each transaction can perform any number of operations on shared data, and then either commit or abort. When the transaction commits, the effects of all its operations become immediately visible to other transactions; when
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D-Serine: Basic Aspects with a Focus on Psychosisting of GluN1 and GluN2 subunits, D-serine has been selected as a candidate agent that is expected to satisfy an unmet need to ameliorate antipsychotic-resistant negative and cognitive symptoms in schizophrenia by recovering the NMDA receptor disturbance as one of its coagonists. Meta-analyses of ra
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GreenBox: Ethics, Sustainable Management, and Social Commitmentue to the hyperconsumption of plastics, the overexploitation of natural resources, and intensive production systems. This has generated a demand for attention to the problem from the various sectors of society. Therefore, the different actors in society developed a series of actions aimed at contrib
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Beurteilung der Produktentwicklung als Investition (mehrperiodige Rechnung),ige Merkmale einer Investition sind ferner die langfristige Bindung des Geldes und der hohe Geldbedarf. Des Weiteren sind Investitionen immer mit einer Absicht verbunden. Die heutige Verwendung des Geldes soll in Zukunft einen höheren Geldrückfluss einbringen.
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Reciprocal ,-Body Collision Avoidanceroach on several dense and complex simulation scenarios involving thousands of robots and compute collision-free actions for all of them in only a few milliseconds. To the best of our knowledge, this method is the first that can guarantee local collision-free motion for a large number of robots in a cluttered workspace.
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Tobias Buchmann,Ekaterina Savchenkoilized to obtain the sentence and the aspect category attention feature representation separately. Then, the multi-head attention mechanism is used again to fuse these two attention feature representations deeply. Finally, a convolutional layer is applied to extract informative features. We conduct
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