Background: Parkinson's disease (PD) is the most common neurodegenerative movement disease. Human endogenous retroviruses (HERVs) are proviral remnants of ancient retroviral infection of germ cells that now constitute about 8% of the human genome. Under certain disease conditions, HERV genes are activated and partake in the disease process.
View Article and Find Full Text PDFObjective: Sarcopenia, a condition characterized by the progressive loss of skeletal muscle mass and strength, poses significant challenges in research due to missing data. Incomplete datasets undermine the accuracy and reliability of studies, necessitating effective imputation techniques. This study conducts a comparative analysis of three advanced methods-multiple imputation by chained equations (MICE), support vector regression, and K-nearest neighbors (KNN)-to address data completeness issues in sarcopenia research.
View Article and Find Full Text PDFPurpose: Breast cancer encompasses various subtypes with distinct prognoses, necessitating accurate stratification methods. Current techniques rely on quantifying gene expression in limited subsets. Given the complexity of breast tissues, effective detection and classification of breast cancer is crucial in medical imaging.
View Article and Find Full Text PDFMetal-free covalent organic frameworks (COFs) have emerged as promising catalysts for the oxygen reduction reaction (ORR) because of their unique structural properties and notable stability. To enhance both catalytic activity and selectivity, a variety of linkers and linkages have been investigated in efforts to precisely engineer COFs. However, the impact of vertex structures within COFs on ORR catalysis remains largely underexplored.
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