Chu‐Chih Chen

Urinary non-persistent environmental chemicals in pregnancy: Associations with subclinical renal injury and exposure determinants

Chu‐Chih Chen, Yin-Han Wang, Chia-Fang Wu, Chia-Jung Hsieh et autres

• Phenols (BPA, NP) were strongly associated with early renal injury markers. • Parabens showed both individual and joint effects on NAG and ACR. • Phthalate mixture exposure increased ACR despite null single-metabolite results. • Personal care products and indoor environments drove …

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PO-01-249 PROGRESSION OF DEVICE-DETECTED ATRIAL HIGH-RATE EPISODES PREDICTS MORTALITY IN PATIENTS WITH CARDIAC IMPLANTABLE ELECTRONIC DEVICES: A 1,827-PATIENT COHORT STUDY

Hui-CHun Huang, Chu‐Chih Chen, Yen‐Bin Liu

Associations between short-term temperature variability and DNA methylation aging: Evidence from a population-based cohort in Taiwan

Kuan-Chih Chiu, Chu‐Chih Chen, Yen‐Tsung Huang, Chen-Yu Liu

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Ambient air pollution, greenness and frailty in an elder Asian population: a multi-center study with long-term exposure

Ping Shih, Shu-Chun Chuang, Chao Agnes Hsiung, Yuwen Chen et autres

BACKGROUND: Long-term exposure to air pollution has been linked to adverse health outcomes in older adults; however, its association with frailty, particularly the potential protective role of environmental factors such as greenness, remains insufficiently investigated. METHODS: Data from the Healthy Aging Longitudinal …

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Exogeneous arsenic exposure estimation from urinary arsenic species measurements and prenatal exposure threshold for asthma in children

Chu‐Chih Chen, Yin-Han Wang, Chien Wen Sun, Huei‐Ju Liu et autres

Exposure to inorganic arsenic (iAs, arsenite As 3+ and arsenate As 5+ ) is associated with many adverse health effects, such as skin lesions, cancer, and developmental and neurotoxicity. Using urinary measurement of iAs as an exposure metric may not be precise, …

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Integrating ESTARFM and PSANet for Enhanced Land Use Mapping: Toward Accurate Delineation of Agricultural and Urban Areas

Yi-Shiang Shiu, Cho Nam Ng, Tang-Huang Lin, Chu‐Chih Chen et autres

This study presents a land use classification framework that integrates spatiotemporal image fusion with deep learning, focusing on farmland and industrial buildings in Taiwan. To address limitations from cloud cover and acquisition frequency, the ESTARFM model was used to fuse Landsat-8/-9 and …

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Integrating satellite information, land use regression, and machine learning to estimate the spatiotemporal variation of ionic composition in PM2.5 across Taiwan

Kang Lo, Tang-Huang Lin, Fu‐Cheng Wang, Yi-Shiang Shiu et autres

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Association of multiple environmental toxicants with markers of early kidney injury in pregnant women: an exposome approach

Jia‐Jen Chen, Chia‐Fang Wu, Sih-Syuan Li, Chu‐Chih Chen et autres

Pregnant women are regularly exposed to a variety of environmental toxicants in daily life, posing a potential threat of kidney injury before presence of clinical manifestations. As there is a paucity of studies employing an exposome-based approach of kidney health in pregnant …

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Does Trading Method Alignment Improve Market Efficiency? Evidence From Taiwan Single‐Stock Futures Market

Chien‐Liang Chiu, Jui‐Cheng Hung, Chu‐Chih Chen

ABSTRACT This study examines the impact of implementing an intraday continuous auction method in Taiwan's spot market on price discovery in the single‐stock futures (SSFs) market. The findings highlight the advantages of aligning the trading method of the underlying spot market with …

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Sex-specific association of co-exposures to melamine and phthalates in children with their early renal injury

Hui‐Ju Tsai, Chia‐Fang Wu, Sih-Syuan Li, Jia‐Jen Chen et autres

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Lifestyle, inflammageing, and poor physical performance in middle-aged and older adults: a prospective cohort study in Taiwan

Chu‐Chih Chen, Jih-Shin Liu, Ray‐Chin Wu, Hsing‐Yi Chang et autres

BACKGROUND AND AIMS: Poor physical performance (PPP) in terms of weakness and slow walking speed is closely associated with frailty during ageing. We aimed to analyse the associations between modifiable lifestyle factors, inflammation markers (hs-CRP, D-dimer, and fibrinogen), and the odds of …

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Estimating and characterizing spatiotemporal distributions of elemental PM2.5 using an ensemble machine learning approach in Taiwan

Chun‐Sheng Huang, Kang Lo, Yee-Lin Wu, Fu‐Cheng Wang et autres

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