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this article examines the impact, potentials, challenges, and future prospects of using Machine Learning (ML) algorithms in clinical psychology, with a focus on basic research and clinical application. ML is reshaping both research and clinical practice by analyzing complex data and uncovering patterns for understanding mental disorders and predicting diagnoses, among other noteworthy aspects. despite the challenges of interpretation, privacy, and bias, the transformative potential of ML algorithms in clinical psychology is acknowledged. interdisciplinary collaboration is essential to maximize these benefits. emphasizing the importance of addressing ethical and practical considerations, this paper envisions a future where ML algorithms become integral tools in the research, diagnosis, and treatment of mental disorders, contributing to an overall enhancement in people's quality of life. [ABSTRACT FROM AUTHOR]

This paper aims to show the opposition between the Humanist cultural tradition and the main theses currently defended by Posthumanism. The structure of the paper is built upon the corresponding answers provided by both trends to the three main philosophical questions: How do we know reality? What are the world and life, and how are they explained? What is the best way to live one’s life? Gnoseology (or theory of knowledge), Ontology, and Deontology or Ethics have respectively tried to provide answers for such questions. Certain ambiguities of the Posthumanist dehumanizing project are also addressed. The paper concludes with an exposition of the arguments that justify the continuity of Humanist values, principles, and rights, updated according to the demands of our time. This paper aims to show the opposition between the Humanist cultural tradition and the main theses currently defended by Posthumanism. The structure of the paper is built upon the corresponding answers provided by both trends to the three main philosophical questions: How do we know reality? What are the world and life, and how are they explained? What is the best way to live one’s life? Gnoseology (or theory of knowledge), Ontology, and Deontology or Ethics have respectively tried to provide answers for such questions. Certain ambiguities of the Posthumanist dehumanizing project are also addressed. The paper concludes with an exposition of the arguments that justify the continuity of Humanist values, principles, and rights, updated according to the demands of our time. [ABSTRACT FROM AUTHOR]

The cylindrical external gear reducers have a wide application in the industry. The aim of this paper is to facilitate the design and production of these machines by means of the application of the artificial intelligence technique known as case based reasoning to the design of their transmissions. The indexes for case retrieval were determined by means of expert criteria. The case base was built with gear reducer transmissions that were designed and manufactured in the industry. The case retrieval is carried out through the combination of a selection query and the nearest neighbor algorithm. By means of the integration of the case base with a CAD CAE system was obtained a case based design system of this kind of transmissions. The new design is carried out by adapting and checking the closest case to the current transmission. As the obtained solution is similar to an existing transmission, besides the design process, is also facilitated wheel production. [ABSTRACT FROM AUTHOR]

This paper briefly describes intelligent antenna systems. Some adaptive algorithms that render the system intelligent are presented. LMS and RLS algorithms are introduced and subject to mathematical analysis in order to allow simulation by using MatLab. The algorithms are chosen according to their relationship with the hybrid algorithm developed by the authors. Each algorithm is evaluated with reference to parameters such as convergence, speed, stability, etc. [ABSTRACT FROM AUTHOR]