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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.

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What drives some people to save more effectively for their future than others? This multistudy investigation (N = 143,461) explores how dispositional optimism-the generalized tendency to hold positive expectations about the future-shapes individuals' financial decisions and outcomes. Leveraging both cross-sectional and longitudinal designs across several countries, our findings reveal that optimism significantly predicts greater savings over time, even when controlling for various demographic, psychological, and financial covariates. Furthermore, we find that the role of optimism varies based on socioeconomic circumstances: Among lower income individuals, optimism is more strongly associated with saving.

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Face stereotypes are prevalent, consequential, yet oftentimes inaccurate. How do false first impressions arise and persist despite counter-evidence? Building on the overgeneralization hypothesis, we propose a domain-general cognitive mechanism: insufficient statistical learning, or Insta-learn. This mechanism posits that humans are quick statistical learners but insufficient samplers.

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Objective: Given the increasing significance of digital health literacy (DHL) and health literacy (HL) in promoting informed decision-making and healthy behaviors, this study aimed to assess the influence of self-reported HL and DHL on treatment adherence and quality of life among patients who underwent transurethral resection of bladder tumors (TUR-BT) for primary non-muscle invasive bladder cancer (NMIBC).

Materials & Methods: This single-center observational study involved patients who underwent TUR-BT for NIMBC at a tertiary hospital from May 2022 to February 2024. Before the procedure, the patients' DHL and HL were evaluated using the European Health Literacy Survey Questionnaire short version and the eHealth Literacy Scale.

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This study focuses on filial piety, a fundamental psychological factor in Vietnam and its relationship with religiosity and attitudes toward abortion. Drawing on data from 656 participants, the research employed the Partial Least Squares-Structural Equation Modeling (PLS-SEM) method and identified significant differences in intrinsic religiosity (IR) based on various forms of cohabitation with parents. Furthermore, the findings revealed a positive association between age and religiosity.

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