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Titlebook: Reviews of Plasma Physics; Volume 13 Acad B. B. Kadomtsev Book 1987 Consultants Bureau, New York 1987 Plasma.plasma physics

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Erwin Orywalmalian species (e.g. cat, monkey and humans). Here our goal is to study these characteristics but this time in mouse looking for other different mammalian species that shares this trait, which should be indicating similar brain structural growing organizational strategies shaped conveniently trough
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Progressive Systemic Sclerodermknown and the pathogenesis only partly understood. Survival has markedly improved over the past two decades, with the 10-year survival rate approaching 80%, although to date with the exception of cyclophosphamide there is no effective disease-modifying treatment of SSc. The introduction of drugs tha
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,Automating the Conducting of Surveys Using Large Language Models,e typically used in such cases since mobile phones have become pervasive. However, this process can be time-consuming since a human is required to conduct the session and they must then upload responses to a database. We propose using Large Language Models (LLMs) to process an audio recording of the
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Introduction,rporating ideas from psychology. This book was designed to appear in 1987, 15 years after the publication of a now classic collection of essays in honor of George Katona (Strumpel et al., 1972), who throughout the fifties and sixties had been tirelessly trying to persuade economists of the virtues o
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Deep Learning in Structure-Based Drug Design,g site. The current interest in machine learning algorithms based on deep neural networks encouraged the application of deep learning to SBDD related problems. This chapter covers selected works in this active area of research.
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A Bayesian Sarsa Learning Algorithm with Bandit-Based Method,tion/exploitation problem. It chooses actions according to the current mean estimate of Q-values plus an additional reward bonus for state-action pairs that have been observed relatively little. We demonstrate that Bayesian Sarsa performs quite favorably compared to state-of-the-art reinforcement learning approaches.
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Bit Allocation Scheme with Primary Base Station Cooperation in Cognitive Radio Network,ce power and secondary allocated bits are presented. Simulation results indicate that, the access ability of cognitive user is significantly enhanced by BSC in comparison with non-cooperative primary network scenario, and the corresponding interference power could be reduced significantly with the proposed optimal bit assignment scheme.
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