The authors looked at using computer vision to evaluate the degree of exotropia in individuals with strabismus.
Read More...Exotropia detection using computer vision, image processing and facial landmark detection
The authors looked at using computer vision to evaluate the degree of exotropia in individuals with strabismus.
Read More...Innovative use of recycled textile fibers in building materials: A circular economy approach
Textile waste from the fashion industry is a major environmental pollutant, but recycling waste into novel building material is a strategy to reduce the negative effects. This manuscript characterized five different binders that can be used to repurpose textile waste into bricks for construction purposes. Water-based glue, cement, white cement, plaster of Paris, and epoxy resin were mixed with shredded textile waste, and the mechanical characteristics and thermal insulation of each brick type were measured. Bricks with increased mechanical strength had the poorest thermal resistance, and the contrasting properties would suit different building purposes. This work provides a first step in generating recycled textile bricks for construction in a circular economy framework.
Read More...Using satellite surface temperature data to monitor urban heat island
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.
Read More...Optimizing Arthrospira platensis growth for biofuel production via symbiosis between cyanobacteria strains
The authors test symbiotic relationships among cyanobacteria species to generate more robust cultures for potential biofuel production.
Read More...Locating carcinogenic per- and poly-fluoroalkyl substances in Santa Clarita groundwater
This study investigates PFAS contamination in Santa Clarita groundwater, focusing on potential sources. The study employs statistical analysis to assess data quality and trends which allowed them to identified domestic waste, fire extinguisher materials, and food packaging as the most likely sources of contamination.
Read More...Rethinking the electric vehicle tax policy: prioritizing affordable solutions for environmental impact
Car emissions harm both the environment and human health, and current U.S. EV tax credits mainly benefit high-income households because EVs are expensive. This study evaluates U.S. vehicle emissions policies by analyzing 2022 national vehicle data to compare the fuel economy and greenhouse gas impacts of the current EV tax credit with a proposed policy that incentivizes hybrid vehicle purchases.
Read More...In silico design of novel acetylcholinesterase inhibitors as potential therapeutics for Alzheimer's disease
Elevated acetylcholinesterase (AChE) activity contributes to cognitive decline and neurodegenerative diseases such as Alzheimer’s, motivating the search for more effective inhibitors with better bioavailability. This study used computational methods to design novel, non-toxic AChE inhibitors.
Read More...Protein kinases in phagocytosis (phagocytotic kinome): A promising biomarker set in cancer therapeutics
This study analyzes genetic alterations and expression patterns of protein kinases involved in phagocytosis across multiple cancers using TCGA data.
Read More...The effects of image manipulation on classification of cervical spondylosis X-ray images using deep learning
Water tubing injury patterns among different demographics: A NEISS study
The authors looked at how injuries sustained during water tubing, that require treatment at an emergency department, differ between males and females.
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