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Using Large Language Models to Detect and Understand Drug Discontinuation Events in Web-Based Forums: Development and Validation Study.
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Department of Industrial and Systems Engineering, The University of Florida, GAINESVILLE, FL, United States.
Background: The implementation of large language models (LLMs), such as BART (Bidirectional and Auto-Regressive Transformers) and GPT-4, has revolutionized the extraction of insights from unstructured text. These advancements have expanded into health care, allowing analysis of social media for public health insights. However, the detection of drug discontinuation events (DDEs) remains underexplored.
View Article and Find Full Text PDFEvaluation of an oral health education training program for kindergarten teachers.
Front Oral Health
January 2025
Hospital of Stomatology, Sun Yat-sen University, Guangzhou, China.
Objectives: This study aims to examine kindergarten teachers' satisfaction and their perceived impact of an oral health education (OHE) training program.
Methods: This study followed the steps outlined in the Program Evaluation Standards in Public Health recommended by the Centers for Disease Control and Prevention. All kindergarten teachers in Hong Kong were invited to attend the OHE training.
Insider apology for microeconomic theorising?
J Econ Methodol
March 2024
Department of Economic History, London School of Economics, London, England.
This comment on 'Economic theories and their Dueling interpretations' questions the descriptive adequacy of the 'sociology of economics' proposed by Gilboa, Postlewaite, Samuelson, and Schmeidler (GPSS) (2022). We ask whether economists still perceive the role of microeconomic theory as central as do GPSS. In particular, is present-day economics unified by the principles of maximising, subject to constraints and equilibrium analysis? We argue that this is not the case.
View Article and Find Full Text PDFMaternity care pathway and involvement in decision making: A mixed-methods study of women's experiences in Ireland.
Women Birth
January 2025
National Care Experience Programme, Health Information and Quality Authority, Dublin, Ireland.
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Systematic Study of Hard-Wall Confinement-Induced Effects on Atomic Electronic Structure.
J Phys Chem A
January 2025
Department of Chemistry, Faculty of Science, University of Helsinki, P.O. Box 55, A.I. Virtanens Plats 1, University of Helsinki FI-00014, Finland.
We point out that although a litany of studies have been published on atoms in hard-wall confinement, they have either not been systematic, having only looked at select atoms and/or select electron configurations, or they have not used robust numerical methods. To remedy the situation, we perform in this work a methodical study of atoms in hard-wall confinement with the HelFEM program, which employs the finite element method that trivially implements the hard-wall potential, guarantees variational results, and allows for easily finding the numerically exact solution. Our fully numerical calculations are based on nonrelativistic density functional theory and spherically averaged densities.
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