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Assessing Vegetation Canopy Growth Variations in Northeast China.
Plants (Basel)
January 2025
State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China.
Studying climate change's impact on vegetation canopy growth and senescence is significant for understanding and predicting vegetation dynamics. However, there is a lack of adequate research on canopy changes across the lifecycles of different vegetation types. Using GLASS LAI (leaf area index) data (2001-2020), we investigated canopy development (April-June), maturity (July-August), and senescence (September-October) rates in Northeast China, focusing on their responses to preseason climatic factors.
View Article and Find Full Text PDFAge over 90 years is an unfavorable prognostic factor for resectable cutaneous squamous cell carcinoma.
J Dermatol
January 2025
Department of Dermato-Oncology, NHO Kagoshima Medical Center, Kagoshima, Japan.
The rapid aging of the population has led to an increase in the number of cutaneous squamous cell carcinoma (cSCC) cases among the older population. However, the characteristics of these cases remain unclear. In this study, we aimed to identify the problem by analyzing the clinical characteristics of patients with cSCC aged 90 years and over.
View Article and Find Full Text PDFLeveraging artificial intelligence for predicting spontaneous closure of perimembranous ventricular septal defect in children: a multicentre, retrospective study in China.
Lancet Digit Health
January 2025
Department of Pediatric Cardiology, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Engineering Research Center of Techniques and Instruments for Diagnosis and Treatment of Congenital Heart Disease, Ministry of Education, Shanghai, China. Electronic address:
Background: Perimembranous ventricular septal defect (PMVSD) is a prevalent congenital heart disease, presenting challenges in predicting spontaneous closure, which is crucial for therapeutic decisions. Existing models mainly rely on structured echocardiographic parameters or restricted data. This study introduces an artificial intelligence (AI)-based model, which uses natural language processing (NLP) and machine learning with the aim of improving spontaneous closure predictability in PMVSD.
View Article and Find Full Text PDFSocioeconomic Status, Diet, and Behavioral Factors and Cardiometabolic Diseases and Mortality.
JAMA Netw Open
December 2024
Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Importance: It remains unclear how socioeconomic status (SES) is related to the association between diet and health, as well as the role of behavioral factors, in explaining socioeconomic disparities in health outcomes.
Objective: To investigate the associations of neighborhood and individual SES factors, as well as behavioral factors, particularly dietary pattern, with health outcomes.
Design, Setting, And Participants: This prospective cohort study included US health professionals without chronic diseases at baseline who were enrolled in the Health Professionals Follow-Up Study (calendar years 1988-2018), the Nurses' Health Study (calendar years 1992-2018), and the Nurses' Health Study II (calendar years 2001-2019).
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