This research addressed theoretical approaches in political science arguing that the American electorate is either poorly informed or dependent on party label cues, by assessing performance on political judgment tasks when party label information is missing. The research materials were created from the results of a national opinion survey held during a national election. The experiments themselves were run on nationally representative samples of adults, identified from another national electoral survey. Participants saw profiles of simulated individuals, including information about demographics and issue positions, but omitting party labels. In Experiment 1, participants successfully judged the likelihood of party membership based on the profiles. In Experiment 2, participants successfully voted based on their party interests. The results were mediated by participants' political knowledge. Conclusions are drawn with respect to theories from political science and issues in cognitive science regarding categorization and reasoning.
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http://dx.doi.org/10.1111/tops.12206 | DOI Listing |
Int J Med Inform
January 2025
Department of Computer Science and Artificial Intelligence, University of Udine, 33100, Italy.
Background: Segmentation models for clinical data experience severe performance degradation when trained on a single client from one domain and distributed to other clients from different domain. Federated Learning (FL) provides a solution by enabling multi-party collaborative learning without compromising the confidentiality of clients' private data.
Methods: In this paper, we propose a cross-domain FL method for Weakly Supervised Semantic Segmentation (FL-W3S) of white blood cells in microscopic images.
J Comp Eff Res
January 2025
Department of Epidemiology, Merck Healthcare KGaA, Darmstadt, Germany.
exon 14 ex14) skipping occurs in 3-4% of non-small-cell lung cancer (NSCLC) cases. Low frequency of this alteration necessitated open-label, single-arm trials to investigate MET inhibitors. Since broad MET biomarker testing was only recently introduced in many countries, there is a lack of historical real-world data from patients with ex14 skipping NSCLC receiving conventional therapies.
View Article and Find Full Text PDFBMC Cancer
January 2025
Centre for Medical Education, Queen's University Belfast, Belfast City Hospital, Lisburn Road, Belfast, UK.
Background: Myelofibrosis (MF) is a clonal haematopoietic disease, with median overall survival for patients with primary MF only 6.5 years. The most frequent gene mutation found in patients is JAK2, causing constitutive activation of the kinase and activation of downstream signalling.
View Article and Find Full Text PDFNutrients
December 2024
Consortium for Health and Military Performance, Department of Military and Emergency Medicine, F. Edward Hébert School of Medicine, Uniformed Services University, Bethesda, MD 20814, USA.
: Sixty-eight percent of service members are living with overweight or obesity, some who may not consult a healthcare provider when they decide to lose weight. Instead, they often turn to weight-loss dietary supplements for self-care solutions. The purpose of this case series study was to examine the label accuracy and quality of select weight-loss dietary supplements sold on or near US military bases across the country.
View Article and Find Full Text PDFJ Infect
January 2025
Centre for Medicines Optimisation Research and Education, University College London Hospitals NHS Foundation Trust, London, United Kingdom; Research Department of Practice and Policy, School of Pharmacy, University College London, London, United Kingdom; Centre for Safe Medication Practice and Research, Department of Pharmacology and Pharmacy, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong; Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong.
Objective: To assess the characteristics, risk factors and clinical impact of penicillin and other antibiotic allergy labels in general practice in the UK.
Design: Population-based cohort study.
Setting: Primary care in the UK, 2000-2018.
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