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This study compares the voltage output of two potential alternative energy sources: water drops hitting a piezoelectric surface and water flowing through a hydroelectric turbine. The findings of this study suggest that harnessing kinetic energy from falling raindrops may be a viable alternative energy source.

Insulin infusion patches are a common way for diabetics to receive medication. The durability of two different patch adhesives was compared on artificial skin with and without artificial sweat.

Biomimicry is the practice of applying models and systems found in nature to improve the efficiency and usefulness of human technologies. In this study, the authors designed helicopter blades with tubercle structures similar to those found on the tails of humpback whales. The authors found that certain arrangements of these tubercle structures improved the windspeed and efficiency of a model helicopter.

The authors looked at how vocabulary is impacted in Alzheimer's disease and whether it could be used a predictor of disease onset.

This article describes the classification of medical text data using vector databases and text embedding. Various large language models were used to generate this medical data for the classification task.

Patients with cleft palate frequently struggle with speech issues such as nasal or congested speech. Lin and Parkinson conduct a meta-analysis to determine how two common types of cleft palate repair surgery compare in terms of their effects on patient's speech.

The authors use molecular modeling to test analogs of the stearoyl-coenzyme A desaturase 1 (SCD1) inhibitor MF-438 with implications for future development of Parkinson's disease therapeutics.

The authors looked at the ability to grow S. platensis on a larger scale with reduced cost given that it is currently quite expensive to grow, but poses as an important food source in the future.

With the advance of technology, artificial intelligence (AI) is now applied widely in society. In the study of AI, machine learning (ML) is a subfield in which a machine learns to be better at performing certain tasks through experience. This work focuses on the convolutional neural network (CNN), a framework of ML, applied to an image classification task. Specifically, we analyzed the performance of the CNN as the type of neural activation function changes.

The authors explore how similar exoplanets are to Earth and whether they could be inhabited by humans and other living organisms.