Hao-Yi Wu

Metabolic and mental health trends by profession among military health-care workers before and during the COVID-19 pandemic

Wei‐Yun Wang, Yi‐Syuan Wu, YEN HUANG, Hao-Yi Wu et autres

Military health-care workers (HCWs) played a key role in Taiwan’s response to the COVID-19 pandemic. They experienced substantial occupational stress and prolonged frontline exposure to the disease. Therefore, this study evaluated the relationships among the sociodemographics, lifestyle factors, metabolic and mental health …

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Brightest Cluster Galaxy ellipticity as proxy for halo shape: Orientation bias, assembly bias, and potential selection effects in SZ-selected clusters

Radhakrishnan Srinivasan, T. Shin, Anja von der Linden, Ricardo Herbonnet et autres

The orientation of triaxial galaxy clusters with respect to the line-of-sight is expected to be one of the prime sources of scatter and potential bias in optical observables (e.g., richness and weak-lensing signal) of galaxy clusters. In this work, we use the …

Brightest Cluster Galaxy ellipticity as proxy for halo shape: Orientation bias, assembly bias, and potential selection effects in SZ-selected clusters

Radhakrishnan Srinivasan, T. Shin, Anja von der Linden, Ricardo Herbonnet et autres

The orientation of triaxial galaxy clusters with respect to the line-of-sight is expected to be one of the prime sources of scatter and potential bias in optical observables (e.g., richness and weak-lensing signal) of galaxy clusters. In this work, we use the …

us, de, es, br, se, dk, it, gb, fr (code pays fourni par la source)

Unifying cluster and galaxy cosmology analyses using the galaxy-halo connection

Shulei Cao, Hao-Yi Wu, Andrés N. Salcedo, David H. Weinberg et autres

Galaxies and galaxy clusters trace the same cosmic density field, but their statistics have been modeled separately in cosmological analyses. We present a unified, simulation-based framework to model them using the galaxy-halo connection. Our analysis includes cluster lensing, galaxy clustering, and galaxy-cluster …

Unifying cluster and galaxy cosmology analyses using the galaxy-halo connection

Shulei Cao, Hao-Yi Wu, Andrés N. Salcedo, David H. Weinberg et autres

Galaxies and galaxy clusters trace the same cosmic density field, but their statistics have been modeled separately in cosmological analyses. We present a unified, simulation-based framework to model them using the galaxy-halo connection. Our analysis includes cluster lensing, galaxy clustering, and galaxy-cluster …

Gender Differences in Predicting Metabolic Syndrome Among Hospital Employees Using Machine Learning Models: A Population-Based Study

Yi‐Syuan Wu, Wen‐Chii Tzeng, Cheng-Wei Wu, Hao-Yi Wu et autres

BACKGROUND: Metabolic syndrome (MetS) is a complex condition that captures several markers of dysregulation, including obesity, elevated blood glucose levels, dyslipidemia and hypertension. Using an approach to early prediction of MetS risk in hospital employees that takes into account the differing effects …

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Pandemic-Era Virtual Fitness Experiences: A Usability Comparison of Digital Exercise Applications among Youths (Preprint)

Yung‐Sung Yeh, Hao-Yi Wu, Wei‐Yun Wang, Chi‐Ming Chu et autres

BACKGROUND The COVID-19 pandemic has significantly altered lifestyles, with an increasing reliance on digital fitness applications and devices for home workouts. Among these, the Nike Training Club (NTC) app and Nintendo’s Ring Fit Adventure (RFA) emerged as popular solutions for young individuals …

Sex-Specific Machine Learning Models for Predicting Metabolic Syndrome in Air Force Personnel: A Population-Based Study

Wei‐Yun Wang, Yi-Syuan Wu, Hao-Yi Wu, Wen‐Chii Tzeng

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Assessment of Heart Rate Monitoring During Exercise With Smart Wristbands and a Heart Rhythm Patch: Validation and Comparison Study

T.Y. Wang, Hao-Yi Wu, Wei‐Yun Wang, Chao‐Wen Chen et autres

BACKGROUND: The integration of wearable devices into fitness routines, particularly in military settings, necessitates a rigorous assessment of their accuracy. This study evaluates the precision of heart rate measurements by locally manufactured wristbands, increasingly used in military academies, to inform future device …

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Assessment of Heart Rate Monitoring During Exercise With Smart Wristbands and a Heart Rhythm Patch: Validation and Comparison Study (Preprint)

T.Y. Wang, Hao-Yi Wu, Wei‐Yun Wang, Chao‐Wen Chen et autres

BACKGROUND The integration of wearable devices into fitness routines, particularly in military settings, necessitates a rigorous assessment of their accuracy. This study evaluates the precision of heart rate measurements by locally manufactured wristbands, increasingly used in military academies, to inform future device …

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Predicting Metabolic Syndrome With Machine Learning Models of Hybrid Analysis

Yi‐Syuan Wu, Wei‐Yun Wang, Hao-Yi Wu, Chao‐Wen Chen et autres

The study uses machine learning to determine the accuracy of different algorithms for predicting MetS. Early prediction of MetS through routine health screening is an important goal for preventive medicine. The subjects in this study were employees aged 20 to 65 years …

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Sex differences in risk factors for metabolic syndrome in middle-aged and senior hospital employees: a population-based cohort study

Hsu-Chieh Chang, Yi‐Syuan Wu, Wen‐Chii Tzeng, Hao-Yi Wu et autres

BACKGROUND: Several cross-sectional studies have reported risk factors for metabolic syndrome (MetS). However, these studies did not focus on sex differences in middle-aged and senior populations or employ a longitudinal design. These study design differences are important, as there are sex differences …

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