Titlebook: Methods for Preclinical Research in Addiction; María A. Aguilar Book 2022 Springer Science+Business Media, LLC, part of Springer Nature 20

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Florence Allain,Ndeye Aissatou Ndiaye,Anne-Noël Samahans among colleagues, not only during the conference. It is also intended to contribute to a deeper understanding of the underlying problems as needed to solve them in complex environments and, beneficial for this purpose, to encourage interdisciplinary cooperation..978-3-319-93691-8978-3-319-93692-5Series ISSN 2194-5357 Series E-ISSN 2194-5365

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Anna Maria Borruto,Ana Domi,Laura Soverchia,Esi Domi,Hongwu Li,Nazzareno Cannellaently needed. To develop such a single source of information, relevant documents need to be gathered together. This study presents a method of gathering reports of clinical trials from PubMed which describe diagnosis and treatment of child mental health issues. The main mechanism of the proposed met

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priate or confusing features. Therefore, this work aims to study and discover the most proper features for binary bug report classification. This study compares seven features such as unigram, bigram, camel case, unigram+bigram, unigram+camel case, bigram+ camel case, and all features together. The

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Stéphanie Dumontoy,Adeline Etievant,Andries Van Schuerbeek,Vincent Van Waesoped, based on Sph (smooth particle hydrodynamics) methods, makes it possible to reproduce strong nonlinearities of the objective functions and limiting constraints. Moreover, the flexibility of these models allows the updating of the approximation during the optimization process, which makes it pos

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Amy L. Miltonnd, some of the small displacement variables used in the model are eliminated due to the invariant nature of the movements they generate with respect to the toleranced feature. This standard result of the torsor formulation is applied to the unified model. The effect of this is to significantly redu