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Chlorella sp. are unicellular green algae that use photosynthesis to reduce carbon dioxide into glucose. In this study, authors sought to determine the temperature that Chlorella sp. is maximally efficient at photosynthesis, and therefore removing the most carbon dioxide from the system. This activity could be harnessed to naturally remove carbon dioxide from the environment, fighting the effects of climate change.

Alzheimer’s disease (AD) is a type of dementia that affects more than 5.5 million Americans, and there are no approved treatments that can delay the advancement of the disease. In this work, Xu and Mitchell test the effects of various herbal extracts (bugleweed, hops, sassafras, and white camphor) on Aβ_1-40 peptide levels in human neuroblastoma cells. Their results suggest that bugleweed may have the potential to reduce Aβ_1-40 levels through its anti-inflammatory properties.

The "Uncanny Valley" is a phenomenon in which humans feel discomfort in the presence of objects that are almost, but not quite, human-like. In this study, the authors tested whether this phenomenon could be overcome by sharing a stressful experience with a humanoid robot. They found that human subjects more readily accepted a robot partner that they had previously shared a stressful experience with, suggesting a potential method for increasing the effectiveness of beneficial human-robot interactions by reducing the Uncanny Valley effect.

This article investigates the study methodologies, learning strategies, and motives of spelling bee participants. The authors identify several important educational implications of this work.

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.

Here the authors investigated how the "forever chemical" perfluorooctanoic acid binds to bovine serum albumin (BSA) using computational software to simulate its potential impact on essential human plasma proteins. They identify a possible, high-energy binding configuration that could persistently impair protein functions, underscoring the critical need for further research into the long-term health risks of per- and poly-fluoroalkyl substances exposure.

This study evaluates the potential of natural language processing (NLP) models in an emotion-driven bibliotherapy framework to improve mental health challenges.

The authors studied the ability of deep learning models to predict droughts in the midwestern United States.

The authors looked at different factors that influence specific gravity in beverages, including sweetener used, caffeine, carbonation, and sodium.

The authors looked at genes that were differentially expressed in patients who had and had not had febrile seizures to determine what differences in gene expression existed.