Browse Articles

Using county-level epidemiological data from the Texas Department of State Health Services, this study implemented an SIRV model in Python to simulate measles transmission in Gaines County under different vaccination scenarios.

This study examined how prescribed fires affect arthropods in riparian zones surrounding wetlands in north-central Florida. Researchers found that spider abundance remained largely unchanged, while springtail abundance initially decreased but rebounded substantially one month after burning, suggesting early recovery of the riparian food web.

Here the authors investigate the relationship between environmental pollutants and cancer incidence rates across various geographical clusters in the United States from 2018 to 2020. By calculating Pearson correlation coefficients and t-statistics on CDC and EPA data, they demonstrated a strong correlation between specific pollutants and various cancers, offering insights that could help explain regional disparities in cancer rates and aid in preventing premature deaths.

This project investigated whether previously identified genetic risk factors in non-Korean populations were associated with high gastric cancer incidence rates in Koreans.

This study combines gene expression, mutation profiling, and survival analysis of 17 clinically important genes in breast cancer, utilizing the TCGA-BRCA dataset. Our results show that there are different patterns of oncogene upregulation, different levels of tumor suppressor activity, and complicated survival associations. TP53 was the most frequently mutated gene in this cohort. The results underscore the significance of multidimensional genomic analyses for a comprehensive understanding of breast cancer biology and its therapeutic ramifications.

The authors studied the accuracy of two commonly used explainable AI techniques for detecting pneumonia in chest x-rays.

The authors studied the relationship between air quality and weather conditions (wind speed, precipitation, and temperature) in the Washington D.C. area.

This study used machine learning models to examine which factors most influenced U.S. household energy consumption in 2020 using data from 18,496 households.

Heavy metal contamination from transportation can damage soil and vegetation by increasing oxidative stress, disrupting enzymes, and impairing photosynthesis. This study investigated whether chondroitin sulfate (CS) could reduce the harmful effects of contaminated roadside soil on plant growth by binding with metal ions.

The authors studied optimized delivery routes to reduce travel times using different traveling salesman algorithms.