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Experiences of African women who migrate to a developed country and encounter intimate partner violence: a systematic review of qualitative evidence.
JBI Evid Synth
January 2025
School of Nursing and Midwifery, University of Newcastle, Newcastle, New South Wales, Australia.
Objective: The objective of this review was to synthesize the available evidence on the experiences of African women who migrated to a developed country and encountered intimate partner violence (IPV).
Introduction: IPV is a significant public health issue, and migrant women living in developed countries are particularly vulnerable to IPV, experiencing disproportionately higher rates of IPV. Understanding the experiences of these women can inform health policy and decision-making in clinical practice to minimize IPV.
Sphere transgressions: reflecting on the risks of Big Tech expansionism.
Inf Commun Soc
June 2024
Department of Ethics and Political Philosophy and Interdisciplinary Hub for Digitalization and Society, Radboud University Nijmegen, Nijmegen, Netherlands.
The rapid expansion of Big Tech companies into various societal domains (e.g., health, education, and agriculture) over the past decade has led to increasing concerns among governments, regulators, scholars, and civil society.
View Article and Find Full Text PDFInterdisciplinary Approaches in Psychiatric Research: From Neural Dynamics to Clinical Applications in Schizophrenia.
Actas Esp Psiquiatr
January 2025
Department of Psychology, University of Jaén, 23071 Jaén, Spain.
This editorial explores the dynamic psychiatric research field by focusing on interdisciplinary approaches to understand the complexity of mental disorders by placing particular emphasis on schizophrenia. It highlights the need to integrate findings from diverse scientific disciplines, such as neuroscience, computational modeling and genomics, to unravel the multifaceted nature of these conditions. The potential of interdisciplinary research to transform our knowledge and the treatment of psychiatric disorders is underscored by moving beyond traditional models and developing more nuanced frameworks to more effectively address these complexities.
View Article and Find Full Text PDFDifferences and Interplay between serendipitous and theory-driven discoveries in treating disorders of consciousness.
Ann Phys Rehabil Med
January 2025
Department of Neuro-Rehabilitation, Hospices Civils de Lyon, Université Claude Bernard Lyon 1, Lyon, France; Université de Lyon, Université Lyon 1, INSERM U1028, CNRS UMR5292, Lyon Neuroscience Research Center, Trajectoires Team, Lyon, France. Electronic address:
Challenges of reproducible AI in biomedical data science.
BMC Med Genomics
January 2025
The Laboratory of Data Science and Artificial Intelligence Innovation, Department of Computer Science, School of Engineering and Computer Science, Baylor University, Waco, TX, 76798, USA.
Artificial intelligence (AI) is revolutionizing biomedical data science at an unprecedented pace, transforming various aspects of the field with remarkable speed and depth. However, a critical issue remains unclear: how reproducible are the AI models and systems employed in biomedical data science? In this study, we examine the challenges of AI reproducibility by analyzing the factors influenced by data, model, and learning complexities, as well as through a game-theoretical perspective. While adherence to reproducibility standards is essential for the long-term advancement of AI, the conflict between following these standards and aligning with researchers' personal goals remains a significant hurdle in achieving AI reproducibility.
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