Metacognitive and predictive bias results. за авторством Sarah M. Tashjian (5615795)

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Additional model parameters. за авторством Sarah M. Tashjian (5615795)

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Anxiety associations with metacognitive and predictive bias. за авторством Sarah M. Tashjian (5615795)

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Task performance. за авторством Sarah M. Tashjian (5615795)

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DataSheet1_Characterization of cardiac involvement in patients with LMNA splice-site mutation–related dilated cardiomyopathy and sudden cardiac death.ZIP за авторством Xuebin Ling (14172333)

“...<p>Introduction:LMNA splicing mutations occur in 9.1% of cases with cardiac involvement cases, but the phenotype and severity of disease they cause have not yet been systematically studied. ...”

The removal efficiency and Zr release(a), TOC changes of UIO-66-NH₂-3 towards DMSO in pure water over five cycles (b), the removal efficiency and Zr release (c), TOC cha... за авторством Jie Ren (176083)

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A comparative survey of EU comprehensive analysis, and the National Action Plans of Denmark, Germany, the Netherlands, France, the UK, Romania, Hungary, and Poland along the follow... за авторством Florența-Elena Helepciuc (11442383)

Depressive symptoms and harmful alcohol use in hepatitis C patients: prevalence and correlates за авторством Danusa de Almeida Machado (12695395)

“...Methods This cross-sectional, descriptive and analytical study involved 82 hepatitis C patients who were being treated with pegylated interferon and ribavirin at a public university hospital. ...”

Interview topic guide in English. за авторством Gislaine F. Bonella (15188236)

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Active failures, error-producing and latent conditions (adapted from the Reason’s Accident Causation model) [21]. за авторством Gislaine F. Bonella (15188236)

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Definitions used in Reason’s Accident Causation model” [21]. за авторством Gislaine F. Bonella (15188236)

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Themes identified from the reports as latent conditions [21]. за авторством Gislaine F. Bonella (15188236)

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Interview topic guide in Portuguese. за авторством Gislaine F. Bonella (15188236)

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Themes identified from the reports as error-producing conditions [21]. за авторством Gislaine F. Bonella (15188236)

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ABiC II values compared to HSA without stabilizer in percent and removal rates of caprylate, N-acetyltryptophan and both in percent from a 20% HSA solution using different adsorben... за авторством Stephan Harm (4794978)

A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models за авторством Stephen R. Pfohl (5392586)

“...., "A Toolbox for Surfacing Health Equity Harms and Biases in Large Language Models" (2024). ...”

ASVs of potentially harmful genera that were found by DESeq2 analysis to be significantly more abundant (p < 0.05) in larval bacterial communities on 22 dph compared to 15 dph in d... за авторством Kasun A. Bandara (15368414)

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Pre cartridge concentrations of stabilizers from 20% HSA solution using different adsorbents in the dynamic model. за авторством Stephan Harm (4794978)

Calculated outer adsorbent surface of an 5 ml filled cartridge, assuming that all adsorbent are spherical particles and follows the close-packing of equal spheres (adsorbent volume... за авторством Stephan Harm (4794978)

Calculated clearance rates using the formula (1) for NAT and caprylate from the dialysis experiment (n = 4). за авторством Stephan Harm (4794978)