The authors looked at different ways to build computational resources that would analyze shooting form for basketball players.
Read More...Levering machine learning to distinguish between optimal and suboptimal basketball shooting forms
The authors looked at different ways to build computational resources that would analyze shooting form for basketball players.
Read More...The effect of default opt-ins and social proof tags on high-stake decision-making in an e-commerce context
Default opt-ins and social proof tags effect on decision making in an e-commerce context
Read More...Simple solving heuristics improve the accuracy of sudoku difficulty classifiers
Earthworms as soil quality indicators: A case study of Crissy Field and Bayview Hunters Point naval shipyard
The authors looked at soil quality of former military sites where chemical disposal was known to have occurred. Along with testing for heavy metals, the authors also looked for the presence (and number) of earthworms present in topsoil samples as a marker of soil health.
Read More...A low-cost method for purification of agricultural wastewater based on S. platensis
The authors looked at the ability of Spirulina platensis to reduce contaminants in wastewater in order to develop a more accessible treatment option. They found that S platensis did reduce the concentration of pollutants present within simulated agricultural wastewater.
Read More...Advancing pediatric cancer predictions through generative artificial intelligence and machine learning
Pediatric cancers pose unique challenges due to their rarity and distinct biological factors, emphasizing the need for accurate survival prediction to guide treatment. This study integrated generative AI and machine learning, including synthetic data, to analyze 9,184 pediatric cancer patients, identifying age at diagnosis, cancer types, and anatomical sites as significant survival predictors. The findings highlight the potential of AI-driven approaches to improve survival prediction and inform personalized treatment strategies, with broader implications for innovative healthcare applications.
Read More...Recombinant preparation and characterization of ADH1C and ALDH2 in alcohol metabolism
The authors test the activity of two purified human alcohol detoxification enzymes, alcohol dehydrogenase and aldehyde dehydrogenase.
Read More...SpottingDiffusion: Using transfer learning to detect Latent Diffusion Model-synthesized images
The use of computer vision to differentiate valley fever from lung cancer via CT scans of nodules
Pulmonary diseases like lung cancer and valley fever pose serious health challenges, making accurate and rapid diagnostics essential. This study developed a MATLAB-based software tool that uses computer vision techniques to differentiate between these diseases by analyzing features of lung nodules in CT scans, achieving higher precision than traditional methods.
Read More...Behaviors and attitudes concerning disposable masks and the environment: A D.C. high school case study
The authors looked at student behaviors around disposal of face masks. The goal of the study was to bring awareness to improper mask disposal and how the resulting litter contributes to overall environmental pollution.
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