Browse Articles

The authors looked at the effects of different treatments using flies with neurodevelopmental disorders.

The authors used a particle-in-cell simulation to determine the effects on extensive and intensive metrics. They found that preliminary simulations could be run quickly with much lower particle counts before more technically demanding and comprehensive simulations are performed.

This manuscript evaluates peak detection algorithms for feature extraction in EMG-based hand gesture recognition using a random forest classifier. The study demonstrates that wavelet-based peak detection features achieve the highest classification accuracy (96.5%), outperforming other methods. The results highlight the potential of peak features to improve EMG-based prosthetic control systems.

Detecting cervical spondylosis using deep learning

The authors demonstrate computationally that two types of nanoplastics can bind to estrogen receptor beta and potentially disrupt endocrine systems.

The authors looked at preferences of donors to donate between different animal-centered or humanitarian charities.

The authors looked at the importance of different point breakdowns needed to win in a game of tennis.

The authors looked at the feasibility to predict wind speeds that will have less reliance on using historical data.

The authors looked at how injuries sustained during water tubing, that require treatment at an emergency department, differ between males and females.

This paper looks at using spent coffee grounds as a partial substitute for titanium dioxide (TiO₂) as a catalyst for chemical reactions. Using UV-Vis spectrophotometry, they found that adding the coffee grounds to TiO₂ in a 3:1 ratio, there is still meaningful catalytic activity. This offers a cheaper solution than just using pure TiO₂.