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Nov 26, 2024 | 
academic.oup.com | Duke Kunshan
Since the ratification of the Framework Convention on Tobacco Control in 2005, mainland China has experienced notable delays in implementing the Framework Convention on Tobacco Control. This study aims to examine the legislation and implementation of smoke-free laws in different cities in mainland China, with a particular focus on identifying factors that contribute to these differences.
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Sep 18, 2024 | 
bmcpublichealth.biomedcentral.com | Duke Kunshan |Western Sydney
The overall aim of this study is to examine the effectiveness, implementation, and health economic impact of EMERALD in improving hypertension and T2DM management in PHC facilities in selected regions in China. Specific objectives of the study are: 1. To determine the effectiveness of EMERALD in improving the diagnosis, treatment, and control rates for hypertension and T2DM, and people’s enrolment in and adherence to the routine care of the NEPHSP; 2.
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Aug 31, 2024 | 
link.springer.com | Duke Kunshan
AbstractZinc finger E-box binding homeobox 1 (ZEB1) promotes epithelial-mesenchymal transition (EMT) in carcinogenesis, but its role in embryo implantation has not yet been well studied. In the present study we evaluated the hypothesis that ZEB1-induced EMT is essential for embryo implantation in vivo.
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Aug 28, 2024 | 
academic.oup.com | Duke Kunshan
The racial or ethnic disparity in the burden of dementia exists among older adults in the US while gaps remain in understanding the synergic effect of multiple social determinants of health on diminishing this disparity. We aim to build a polysocial score for dementia and investigate the racial or ethnic difference in dementia risk among older persons with different polysocial score categories.
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Jun 27, 2024 | 
cardiab.biomedcentral.com | Duke Kunshan |Edith Cowan
A total of 44,403 non-diabetic participants, with a mean age of 52.42 ± 11.77 years, were included in this study.
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May 22, 2024 | 
virologyj.biomedcentral.com | Duke Kunshan |Istanbul University-Cerrahpasa
ReferencesCrandell RA, Maurer FD. Isolation of a feline virus associated with intranuclear inclusion bodies. Proc Soc Exp Biol Med. 1958;97:487–90. CAS PubMed Google Scholar Maggs DJ, Clarke HE. Relative sensitivity of polymerase chain reaction assays used for detection of feline herpesvirus type 1 DNA in clinical samples and commercial vaccines. Am J Vet Res. 2005;66:1550–5. CAS PubMed Google Scholar Cavalheiro JB, Echeverria JT, Ramos CAN, Babo-Terra VJ.
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May 11, 2024 | 
academic.oup.com | UNSW Sydney |Keppel Street |Duke Kunshan
The role of social environment, i.e., the aggregate effect of social determinants of health (SDOHs), in determining dementia is unclear. We developed a novel polysocial risk score for dementia based on 19 SDOH among 5,199 participants in the Health and Retirement Study, US, to measure the social environmental risk. We used a survival analysis approach to assess the association between social environment and dementia risk in 2006-2020.
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Apr 29, 2024 | 
academic.oup.com | Duke Kunshan
Social determinants of health (SDOH) encompass the social environmental factors and lived experiences that collectively shape an individual's health. Recently, the polysocial score approach has been introduced as an innovative method for capturing the cumulative impact of a broad spectrum of social factors. This approach offers a promising opportunity to complement and enhance conventional methodologies in the advancement of SDOH research. In this issue of the Journal, Jawadekar et al.
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Feb 27, 2024 | 
virologyj.biomedcentral.com | Duke Kunshan |Istanbul University-Cerrahpasa
Ethical approval from the Institutional Animal Care and Use Committee (IACUC) was not needed for this study as long as the animals investigated in this study were not identifiable in the retrospective records. A total of 200 nasopharyngeal swab samples were collected from cats using sterile cotton swabs from nine animal clinics in Kunshan from June 2022 to June 2023 (Fig. 1).
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Feb 26, 2024 | 00139-5&sz=64)
cell.com | Junjie Liu |Hong Kong Baptist |Duke Kunshan
Abstract In recent years, advancements in retinal image analysis, driven by machine learning and deep learning techniques, have enhanced disease detection and diagnosis through automated feature extraction. However, challenges persist, including limited dataset diversity due to privacy concerns and imbalanced sample pairs, hindering effective model training.
