Exploring the potential link between human papillomavirus infection and coronary artery disease: a review of shared pathways and mechanisms.

The increasing prevalence of early onset coronary artery disease (CAD) in individuals under 50 presents a significant public health challenge, with substantial impacts on quality of life and escalating healthcare costs. Human papillomavirus (HPV), a pervasive sexually transmitted infection, has emerged as a potential contributor to atherosclerotic lesion development. This article explores the complex inflammatory pathways HPV infection activates that could contribute to atherogenesis.

DARNet: Deep Attention Module and Residual Block-Based Lung and Colon Cancer Diagnosis Network.

Accurate and efficient lung and colon cancer classification is vital for early detection and treatment planning. Traditional methods require manual effort and expert analysis, leading researchers to explore deep learning models. However, deep learning-based lung and colon cancer classification models face challenges such as generalization, overfitting, gradient vanishing, and hyperparameter tuning.

Multi-target detection and tracking based on CRF network and spatio-temporal attention for sports videos.

Sports video analysis has produced many valuable applications driven by different needs, and in these applications, moving target detection technology plays an indispensable role. However, the uniqueness of sports videos brings a big challenge to target detection and tracking technology. Therefore, the purpose of this article is to propose an efficient multi-target detection algorithm to quickly and effectively detect all target objects in the video.

Association of Prepregnancy Body Mass Index with Gut Microbiota Diversity and Abundance in Pregnant Women.

Background: Understanding the link between prepregnancy nutritional status and gut microbiota during pregnancy may lead to novel maternal and child health interventions. We explored the association of prepregnancy body mass index (BMI) status with gut microbiota diversity and abundance during pregnancy.

Methods: A cross-sectional study was conducted on 90 pregnant women from primary health centers in Jakarta, Indonesia.

Machine learning scoring reveals increased frequency of falls proximal to death in Drosophila melanogaster.

Falls are a significant cause of human disability and death. Risk factors include normal aging, neurodegenerative disease, and sarcopenia. Drosophila melanogaster is a powerful model for study of normal aging and for modeling human neurodegenerative disease.