Ontological Addiction Theory and Mindfulness-Based Approaches in the Context of Addiction Theory and Treatment

Buddhist-derived interventions have increasingly been employed in the treatment of a range of physical and psychological disorders, and in recent years, there has been significant growth in the use of mindfulness-based interventions (MBIs) for this purpose.Ontological Addiction Theory (OAT) is a novel metaphysical approach to understanding psychopa

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Basic capability and performance test of big data platform

The whole big data technology is now leaded by open source society which results in coexist of many competing technologies.Open sources also help to cultivate a great number of big data commercial software.The enterprise market Accessories:Mixer Parts is now crowded by various providers.How to evaluate these softwares becomes a new research topic.A

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Promises, pitfalls, and basic guidelines for applying machine learning classifiers to psychiatric imaging data, with autism as an example

Most psychiatric disorders are associated with subtle alterations in brain function and are subject to large inter-individual differences.Typically the diagnosis of these disorders requires time-consuming behavioral assessments administered by a multi-disciplinary team with extensive experience.Whilst the application of machine learning classificat

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