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In order to determine whether unmarked soybeans in the market were genetically modified crops, the authors developed a polymerase chain reaction (PCR) screen for DNA lectin.

In this study, the authors develop a new hydrogel using photochemical crosslinking with bovine serum albumin and methylene blue. They find that this new hydrogel has some useful applications!

The authors investigated the relationship between personality traits and adolescent materialism, as well as how materialism relates to spending habits. Results indicate that extroversion was positively correlated with materialism, and that adolescents' purchases were affected by the purchasing behaviors of their friends or peers. Moreover, materialistic youth were more likely than non-materialistic youth to spend money on themselves when given a hypothetical windfall of $500.

The authors assess a genetic variant within a well-known interaction partner of huntingtin that has been linked to modifying the age of onset of Huntington's disease.

The authors compare current machine learning algorithms with a new Explainable AI algorithm that produces a human-comprehensible decision tree alongside predictions.

The authors looked at the ability to use graphite from pencils in anodes of lithium-anode batteries.

The authors evaluated the effect of concentration and variant of N-Acetylcysteine in hydrolyzing mucus.

The authors used machine learning to predict the presence of anxiety and burnout in students based on facial expressions and demographic information.

Andrographolide, a natural compound with anti-inflammatory, antidepressant, and anti-cancer properties, can be chemically modified by adding an acetonide group to form andrographolide acetonide, which is more potent and acts as a pH-dependent prodrug. Researchers investigated the hydrolysis of this acetonide group under mildly acidic conditions.

Predicting antibody structures and antibody-antigen complexes using AlphaFold