In this study, the authors investigate whether Moringa Oleifera seeds can serve as material to aid in purifying water. M. oleifera seeds have coagulating properties and the authors hypothesized that including it in a water filtration system would reduce particles, specifically bacteria, in water. Their results show that this system removed the largest percent of bacteria. When used in combination with cilantro, it was actually more efficient than the other techniques! These findings have important implications for creating better and more economical water purification systems.
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Using machine learning to understand social media discourse on the co-use of tobacco and cannabis
The authors used developed a machine learning tool for studying social media discourse surrounding use of tobacco and cannabis.
Read More...Antioxidative properties of Taiwanese high mountain tea infusions
The authors test the antioxidant content of Taiwanese high mountain teas grown in or processed under differing conditions.
Read More... The impact of light pollution on astrophotography and visual astronomy in varying environments
A five-year retrospective analysis of Tuberculosis risk factors and their variability in the United States
The main goal of this study is to determine what demographics are related to tuberculosis incidence in the United States populations, particularly if changing demographics are related to differences in tuberculosis risk over two discrete time periods. The major finding is that in the two studied time periods, tuberculosis risk factors were somewhat consistent and may be influenced by things such as immigration, healthcare access, and race or ethnicity, although the top predictor did change.
Read More...Assessing machine learning model efficacy for brain tumor MRI classification: a multi-model approach
This manuscript explores the performance of five different machine learning models in classifying brain tumors from a dataset of MRI scans. The authors find that several of the models showed >90% accuracy. Thus, the authors suggest that machine learning models demonstrate potential for effective implementation in clinical settings, including as a diagnostic tool that can be used to complement the expertise of neuroradiologists.
Read More...The effect of lead oxide concentrations on the bioluminescence intensity of Panellus stipticus
Here the authors investigate the potential of the bioluminescent fungus Panellus stipticus to serve as a sustainable bioindicator for environmental lead contamination. Their findings demonstrate that higher lead concentrations cause a measurable decrease in fungal bioluminescence intensity over time suggesting that the fungus could be an effective tool for detecting lead in an environment.
Read More...The sight of disparity: how social determinants shape visual impairment and blindness across the U.S.
This study examined how social determinants of health (SDH) relate to vision loss by analyzing publicly available data from 18 northern and southern U.S. states and using Bayesian correlation analysis.
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.
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