Cross-cultural healthcare involves three key issues: racial and ethnic disparities in the quality of healthcare provided to minority patients; cross-cultural value differences between immigrant patients and Western medical providers; and providing language access and assistance to limited English proficient (LEP) and disabled persons. Addressing these key issues represents a compelling diversity agenda for a new generation of healthcare executives. This article describes each of these challenges and the cutting-edge strategies that leading healthcare organizations are using to address them.
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BMC Med Educ
December 2024
Department of Orthopedics, Guru Gobind Singh Medical College and Hospital, Faridkot, Punjab, 151203, India.
Generative Artificial Intelligence (AI), characterized by its ability to generate diverse forms of content including text, images, video and audio, has revolutionized many fields, including medical education. Generative AI leverages machine learning to create diverse content, enabling personalized learning, enhancing resource accessibility, and facilitating interactive case studies. This narrative review explores the integration of generative artificial intelligence (AI) into orthopedic education and training, highlighting its potential, current challenges, and future trajectory.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Center on Aging Psychology, CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
Introduction: Subjective cognitive decline (SCD) is linked to memory complaints and disruptions in certain brain regions identified by molecular imaging and resting-state functional magnetic resonance imaging studies. However, it remains unclear how these regions interact to contribute to both subjective and potential objective memory issues in SCD.
Methods: To address this gap, task-based imaging studies are essential.
Prog Neuropsychopharmacol Biol Psychiatry
December 2024
Laboratório de Avaliações Farmacológicas e Toxicológicas Aplicadas às Moléculas Bioativas (LaftamBio Pampa), Universidade Federal do Pampa, Itaqui, RS, Brazil. Electronic address:
Amphetamine (AMPH) abuse represents a major global public health issue, highlighting the urgent need for effective therapeutic interventions to manage addiction caused by this psychostimulant. This study aimed to assess the potential of m-trifluoromethyl-diphenyldiselenide [(m-CF-PhSe)] in preventing the addictive effects induced by AMPH through targeting dopamine metabolism proteins. (m-CF-PhSe) is of interest due to its demonstrated efficacy in mitigating opioid abuse, establishing it as a promising candidate for addiction treatment research.
View Article and Find Full Text PDFInt J Biol Macromol
December 2024
State Key Laboratory of Resource Insects, College of Sericulture, Textile and Biomass Sciences, Southwest University, Chongqing 400715, China. Electronic address:
Traditional wound closure methods often present several issues, including additional puncture wounds, adverse effects from anesthesia, and noticeable scarring. Inspired by embryonic wound healing, a Janus hydrogel (PG/Au-Asp@PCM) is designed to manipulate non-invasive wound closure by photothermal-responsive self-contraction of PG/Au-Asp@PCM, which is attributed to the shape memory behavior of PG/Au-Asp@PCM under near-infrared (NIR). Wherein, gelatin acts as a thermally reversible "switch" and polyacrylamide creates stable and cross-linked "net-points".
View Article and Find Full Text PDFNeural Netw
December 2024
Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100190, China; Key Laboratory of Network Information System Technology (NIST), Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100190, China; University of Chinese Academy of Sciences, Beijing, 100190, China; School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing, 100190, China.
Session-based recommendation aims to recommend the next item based on short-term interactions. Traditional session-based recommendation methods assume that all interacted items are closely related to the user's interests. However, noise (e.
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