The authors test whether coating stainless steel orthopedic screws in silver will promote calcium precipitation to improve orthopedic implant integration into bone.
Read More...Silver nanoparticle-coated orthopedic screws lead to greater calcium precipitation
The authors test whether coating stainless steel orthopedic screws in silver will promote calcium precipitation to improve orthopedic implant integration into bone.
Read More...Quantifying kitchen appliances’ phantom loads using a shifted gamma distribution model
In this article the authors look at phantom loads of common kitchen appliances and found that the appliances looked at have a phantom load of 10.9%. Understanding phantom loads is important as it can reduce energy grid usage and energy bill costs for homeowners.
Read More...Evaluating the effectiveness of machine learning models for detecting AI-generated art
The authors investigate how well AI-detection machine learning models can detect real versus AI-generated art across different art styles.
Read More...Design and implementation of a cryptographically secure electronic voting infrastructure
In this study, the authors present proposed cryptographic controls for election sites with the hypothesis that this will mitigate risk and remediate vulnerabilities.
Read More...Mitigating open-set misclassification in a colorectal cancer detecting neural network
The authors develop a machine learning method to reduce misclassification of objects in safety-critical applications such as medical diagnosis.
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...Using neural networks to detect and categorize sounds
The authors test different machine learning algorithms to remove background noise from audio to help people with hearing loss differentiate between important sounds and distracting noise.
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...Environmental contributors of asthma via explainable AI: Green spaces, climate, traffic & air quality
This study explored how green spaces, climate, traffic, and air quality (GCTA) collectively influence asthma-related emergency department visits in the U.S using machine learning models and explainable AI.
Read More...Contribution of environmental factors to genetic variation in the Pacific white-sided dolphin
Here the authors sought to understand the effects of different variables that may be tied to pollution and climate change on genetic variation of Pacific white-sided dolphins, a species that is currently threatened by water pollution. Based on environmental data collected alongside a genetic distance matrix, they found that ocean currents had the most significant impact on the genetic diversity of Pacific white-sided dolphins along the Japanese coast.
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