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Titlebook: Substance and Non-substance Addiction; Xiaochu Zhang,Jie Shi,Ran Tao Book 2017 The Editor(s) (if applicable) and The Author(s), under excl

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Drug Therapy for addiction disorders, this chapter also includes the progress and deficiencies of substance and non-substance addiction. In terms of addiction disorder rehabilitation, the foundation of substance addiction is medication which is, however, limited for non-substance addiction. The key to the rehab
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Book 2017 mechanisms, which involve a dysfunction of the neural reward system and specific gene transcription factors. However, there are also key differences between these two types of addiction. Covering these aspects systematically, the book will provideresearchers and graduate students alike a better understanding of drug and behavioral addictions...
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Yamikani Ndasauka,Zhengde Wei,Xiaochu Zhangs. One of the main challenges in this context is concerned with the problem of optimising the allocation and sharing of resources. In this work, processes are described using the BPMN notation extended with an explicit description of execution time and resources associated with tasks, and can be con
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Zhiling Zou,Huijun Wang,Federico d’Oleire Uquillas,Xiaomei Wang,Jianrui Ding,Hong Chenons with limited human supervision. To ensure that these systems do not cause harm, their safety has to be rigorously verified. Existing works focus mostly on using simulation-based methods which execute simulations on concrete instances of logical scenarios in which systems are expected to function
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supporting both state and action predicates such as the Temporal Logic of Rewriting (TLR) can be used to express both the desired properties and the fairness assumptions. However, model checking such properties directly can easily become impossible for two reasons: (i) the exponential blowup in gen
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Manli Chen,Yan Sun,Lin Lu,Jie Shi supporting both state and action predicates such as the Temporal Logic of Rewriting (TLR) can be used to express both the desired properties and the fairness assumptions. However, model checking such properties directly can easily become impossible for two reasons: (i) the exponential blowup in gen
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Yang Zhang,Yan Sun,Jie Liang,Lin Lu,Jie Shin. The main advantage here is in avoiding many of the loops inherent in the resolution approach: for most productive loops, linear completion yields a finite set of answers and a finite set of rewrite rules (involving just one predicate), from which all the remaining answers can be deduced. And this
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