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http://dx.doi.org/10.1227/neu.0000000000002881 | DOI Listing |
Account Res
January 2025
Department of Philosophy, Georgetown University, Washington, USA.
Background: The Office of Research Integrity (ORI) of the U.S. Department of Health and Human Services (HHS) recently issued the 2024 Final Rule on Public Health Service Policies on Research Misconduct (42 CFR 93), the first major revision of the regulation in nearly twenty years.
View Article and Find Full Text PDFPNAS Nexus
January 2025
Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, Shanghai 200241, China.
Accelerated global urban expansion not only directly occupies surrounding ecosystems, but also induces cascading losses of natural vegetation elsewhere through cropland displacement. Yet, how such effects alter the net primary productivity (NPP) worldwide remains unclear. Here, we quantified the direct and cascading impacts of global urban expansion on terrestrial NPP from 1992 to 2020 and projected the impacts under the shared socioeconomic pathways framework by 2100.
View Article and Find Full Text PDFHypertens Res
January 2025
Department of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
Balance between Protective vs. Exacerbating Effects of ACEIs and ARBs in Omicron Variant Infections. The spike protein on the surface of the Omicron variant has a high affinity for ACE2, making it more prone to enter cells and induce ACE2 downregulation.
View Article and Find Full Text PDFAm Psychol
January 2025
Postdoctoral Program in Psychotherapy and Psychoanalysis, New York University.
Eidelson's (2025) commentary misses the point of our article (Walker et al., 2025), which reviews the history of antisemitism within the psychology profession and calls for the American Psychological Association to acknowledge its past and to proactively address the recent rise in antisemitism. Our scholarship is consistent with that of others in the field (e.
View Article and Find Full Text PDFTransl Behav Med
January 2025
Slone Epidemiology Center at Boston University, 72 E Concord St, Boston, MA, USA.
Artificial intelligence (AI) and its subset, machine learning, have tremendous potential to transform health care, medicine, and population health through improved diagnoses, treatments, and patient care. However, the effectiveness of these technologies hinges on the quality and diversity of the data used to train them. Many datasets currently used in machine learning are inherently biased and lack diversity, leading to inaccurate predictions that may perpetuate existing health disparities.
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