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Dynamic prediction and quantitative assessment of carbon emissions from animal husbandry: A case study of inner mongolia autonomous region, China.
J Environ Qual
March 2025
College of Science, Inner Mongolia University of Technology, Hohhot, China.
Climate change, driven by greenhouse gas emissions, has emerged as a pressing global ecological and environmental challenge. Our study is dedicated to exploring the various factors influencing greenhouse gas emissions from animal husbandry and predicting their future trends. To this end, we have analyzed data from China's Inner Mongolia Autonomous Region spanning from 1978 to 2022, aiming to estimate the carbon emissions associated with animal husbandry in the region.
View Article and Find Full Text PDFAbility and utility of the Physician Well-Being Index to identify distress among Chinese physicians.
Ann Med
December 2025
Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, the Second Xiangya Hospital of Central South University, Changsha, Hunan, China.
Background: Despite the high prevalence of mental stress among physicians, reliable screening tools are scarce. This study aimed to evaluate the capability of the Physician Well-Being Index (PWBI) in identifying distress and adverse consequences among Chinese physicians.
Methods: This cross-sectional online survey recruited 2803 physicians from Southern Mainland China snowball sampling between October and December 2020.
Omega-3 index improves upon the pooled cohort equation in predicting risk for CVD.
J Clin Lipidol
February 2025
Fatty Acid Research Institute, Sioux Falls, SD, USA (Drs Tintle, Marchioli, and Harris); Department of Internal Medicine, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD, USA (Dr Harris).
Background: Accurate predictive tools are crucial for identifying patients at increased risk for atherosclerotic cardiovascular disease (ASCVD). The Pooled Cohort Equation (PCE) is commonly used to predict 10-year risk for ASCVD, but its accuracy remains imperfect.
Objective: This study examined the extent to which the omega-3 index (O3I; the proportion of eicosapentaenoic acid+docosahexaenoic acid in erythrocyte membranes) improved the predictive capability of PCE.
Spatial prediction of immunity gaps during a pandemic to inform decision making: A geostatistical case study of COVID-19 in Dominican Republic.
Trop Med Int Health
March 2025
UQ Centre for Clinical Research, Faculty of Medicine, The University of Queensland, Brisbane, Australia.
Background: To demonstrate the application and utility of geostatistical modelling to provide comprehensive high-resolution understanding of the population's protective immunity during a pandemic and identify pockets with sub-optimal protection.
Methods: Using data from a national cross-sectional household survey of 6620 individuals in the Dominican Republic (DR) from June to October 2021, we developed and applied geostatistical regression models to estimate and predict Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) spike (anti-S) antibodies (Ab) seroprevalence at high resolution (1 km) across heterogeneous areas.
Results: Spatial patterns in population immunity to SARS-CoV-2 varied across the DR.
Exploration of crucial stromal risk genes associated with prognostic significance and chemotherapeutic opportunities in invasive ductal breast carcinoma.
J Genet Eng Biotechnol
March 2025
State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, China; Department of Hepatobiliary and Echinococcosis Surgery, First Affiliated Hospital of Xinjiang Medical University, Urumqi 830011, China. Electronic address:
Background: Few studies revealed that stromal genes regulate the tumor microenvironment (TME). However, identification of key-risk genes in the invasive ductal breast carcinoma-associated stroma (IDBCS) and their associations with the prediction of risk group remains lacking.
Methods: This study used the GSE9014, GSE10797, GSE8977, GSE33692, and TGGA BRCA datasets.
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