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Life satisfaction around the world: Measurement invariance of the Satisfaction With Life Scale (SWLS) across 65 nations, 40 languages, gender identities, and age groups.
PLoS One
January 2025
Faculty of Psychology, Department of Cognition, Emotion, and Methods in Psychology, University of Vienna, Vienna, Austria.
The Satisfaction With Life Scale (SWLS) is a widely used self-report measure of subjective well-being, but studies of its measurement invariance across a large number of nations remain limited. Here, we utilised the Body Image in Nature (BINS) dataset-with data collected between 2020 and 2022 -to assess measurement invariance of the SWLS across 65 nations, 40 languages, gender identities, and age groups (N = 56,968). All participants completed the SWLS under largely uniform conditions.
View Article and Find Full Text PDFClinical Variables Associated With Impaired Consciousness in Hospitalized COVID-19 Patients.
J Community Hosp Intern Med Perspect
November 2024
Department of Internal Medicine, Division of Nephrology, Nassau University Medical Center, East Meadow, NY, USA.
Background: Impaired consciousness is associated with complications and mortality in COVID-19 patients. We study factors associated with impaired consciousness as measured by the Glasgow Coma Scale (GCS) in COVID-19 patients.
Methods: This is a retrospective study of 604 patients with COVID-19 in the metropolitan New York City area.
Comparative evaluation of various DNA extraction methods and analysis of DNA degradation levels in commercially marketed Chestnut rose juices and beverages.
BMC Biotechnol
January 2025
CAIQ Center for Biosafety, Chuangyi Rd, Yazhou District, Sanya, Hainan Province, 572024, China.
Background: Food safety is a significant global study subject that is strongly intertwined with human life and well-being. The utilization of DNA-based methods for species identification is a valuable instrument in the field of food inspection and regulation. It is particularly significant for traceability purposes, as it enables the monitoring of a specific item at every level of the food chain regulation.
View Article and Find Full Text PDFArtificial intelligence in drug development.
Nat Med
January 2025
Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China.
Drug development is a complex and time-consuming endeavor that traditionally relies on the experience of drug developers and trial-and-error experimentation. The advent of artificial intelligence (AI) technologies, particularly emerging large language models and generative AI, is poised to redefine this paradigm. The integration of AI-driven methodologies into the drug development pipeline has already heralded subtle yet meaningful enhancements in both the efficiency and effectiveness of this process.
View Article and Find Full Text PDFApplication of predictive modeling tools for the identification of Ocimum spp. herbal products.
Anal Bioanal Chem
January 2025
Intercollege Graduate Degree Program in Plant Biology, Pennsylvania State University, University Park, PA, USA.
Species identification of botanical products is a crucial aspect of research and regulatory compliance; however, botanical classification can be difficult, especially for morphologically similar species with overlapping genetic and metabolomic markers, like those in the genus Ocimum. Untargeted LC-MS metabolomics coupled with multivariate predictive modeling provides a potential avenue for improving herbal identity investigations, but the current dearth of reference materials for many botanicals limits the applicability of these approaches. This study investigated the potential of using greenhouse-grown authentic Ocimum to build predictive models for classifying commercially available Ocimum products.
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