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Introduction: Home care workers (HCWs) are paid caregivers who provide support to patients with chronic conditions and functional limitations. Additionally, they provide emotional support to patients and familial support. Although several qualitative studies have been conducted on HCWs, they focused more on studying prevalently the lived experiences about the workplace violence, the end of life, stressor and resilience, during the COVID-19 pandemic or focused more in dementia and heart failure, but not on feelings and working conditions.

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Effective spatio-temporal measurements of water surface elevation (water waves) in laboratory experiments are essential for scientific and engineering research. Existing techniques are often cumbersome, computationally heavy and generally suffer from limited wavenumber/frequency response. To address these challenges a novel method was developed, using polarization filter equipped camera as the main sensor and Machine Learning (ML) algorithms for data processing [1,2].

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Application of Bayesian Decision Theory in Detecting Test Fraud.

Appl Psychol Meas

January 2025

Educational Testing Service, NJ, USA.

This article suggests a new approach based on Bayesian decision theory (e.g., Cronbach & Gleser, 1965; Ferguson, 1967) for detection of test fraud.

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Objectives: To compare postoperative mortality regarding 2 techniques in the treatment of trochanteric hip fractures (THFs).

Design: Retrospective cohort study.

Setting: National databases.

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Spontaneous chemical modifications in long-lived proteins can potentially change protein structure in ways that impact proteostasis and cellular health. For example, isomerization of aspartic acid interferes with protein turnover and is anticorrelated with cognitive acuity in Alzheimer's disease. However, few isomerization rates have been determined for Asp residues in intact proteins.

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