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Titlebook: NEO 2015; Results of the Numer Oliver Schütze,Leonardo Trujillo,Yazmin Maldonado Book 2017 Springer International Publishing Switzerland 20

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ion, ., 1060–1073, 2002; Ibid., . 2010) ethics code and for developing a universal mental health ethics code. For example, in this regard, given that the book is proposing a totally new ethical principle for the ethics code under consideration concerning Life Preservation (e.g., with respect to issu
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Juan Villegas-Cortez,Carlos Avilés-Cruz,Josué Cirilo-Cruz,Arturo Zuñiga-Lópezto the revisions being proposed to the APA ethics code. The chapter first examines the standards in the CPA ethics code (Canadian Psychological Association, . (3rd ed.). Ottawa, Ontario, Canada: Canadian Psychological Association, 2000; Ibid., . (4th ed.). Ottawa, Ontario, Canada: Canadian Psycholog
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Daniel Lanza,F. Chávez,Francisco Fernandez,M. Garcia-Valdez,Leonardo Trujillo,Gustavo Olagues attention. Polling data have suggested that the UK public is broadly supportive of the idea of giving long-term migrants the opportunity to become UK citizens (British Future, 2020). The UK Home Office, in its 2019 Indicators of Integration Framework, described citizenship as an “important bedrock
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Luis Gerardo de la Fraga,Ivick Guerra-Gomez,Esteban Tlelo-Cuautleo the long-standing question about the relation between immigrant integration and the process of citizenship acquisition in Europe. In this chapter, we conceptualize the citizenship-integration nexus, we review the state of the art around this question and clarify our understanding of integration. F
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Book 2017 Mexico. The development of powerful search and optimization techniques is of great importance in today’s world that requires researchers and practitioners to tackle a growing number of challenging real-world problems. In particular, there are two well-established and widely known fields that are co
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Semantic Genetic Programming for Sentiment Analysisour previous genetic operators based on projections on the phenotype space. The results show that these systems are able to tackle this problem being competitive with other state-of-the-art classifiers, and, also, give insight to approach large scale problems represented on high dimensional spaces.
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Multi Agent Collaborative Search global search. The MACS framework is tested on two sets of academic problems and two real space mission design problems using the IGD and the success rate as performance metrics. The performance of MACS is compared against three known multi-objective optimisation algorithms: NSGA-II, MOAED and MTS.
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