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Energy efficiency is becoming more important as we struggle to find better, more sustainable energy sources to power our planet; the car industry is no exception. In this article, the authors examine the effect of shape on automobile aerodynamics By finding the shape that makes cars less resistant to wind, and therefore more energy efficient, can help the automobile industry make better, more eco-friendly cars that are also cheaper to operate.

This study examines the possibility of utilizing proteins from Drosophila melanogaster in early drug discovery. Structural and sequence analysis of five diverse Drosophila proteins and its human homologs were conducted. Drosophila proteins with high conservation of amino acids at functionally significant positions are better candidates for use as human surrogate in drug discovery efforts.

The authors assess the effect of ER stress on sleep quality in fruit flies.

This study used surveys, interviews, and XGBoost analysis to examine how experienced and novice entrepreneurs differ in their thinking and decision-making.

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.

The authors test the effects of pH level on different kinds of dental cement to model the long-term effects of reflux-induced stomach acid exposure.

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.