Browse Articles

The authors looked at using computer vision to evaluate the degree of exotropia in individuals with strabismus.

This manuscript investigates the urban heat island (UHI) effect by utilizing two satellite datasets: Landsat (high spatial resolution, lower temporal resolution) and MODIS (lower spatial resolution, high temporal resolution). The authors hypothesized that Landsat would provide better spatial detail, while MODIS would better capture temporal variations. Their analysis in the Washington D.C.–Baltimore region supports these hypotheses, demonstrating that Landsat offers finer spatial details, whereas MODIS provides more consistent seasonal patterns and better detects heatwave frequencies.

Detecting cervical spondylosis using deep learning

The authors looked at common themes of videos created by 10 different dental influencers.

The authors looked at how the presence of difference antibiotic resistance genes would influence antibiotic resistance in Staphylococcus aureus.

The authors studied the ability of deep learning models to predict droughts in the midwestern United States.

The authors looked at variables and their patterns and how those contribute to the properties of X-ray binaries.

Analysis of the Sloan green and red photometry of the Type Ia supernova 2024neh

The authors looked at the ability to detect heart disease before the onset of severe clinical symptoms.

The authors looked at unionization petitions from Starbucks workers between August 2021 and July 2024 to determine what factors influence votes for or against unionization.