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Here the authors investigated alternative treatments for Parkinson's disease tremors, this study tested whether replacing the traditional carbidopa component with lovastatin in a levodopa combination would improve symptom reduction in a Drosophila melanogaster model. The findings revealed that the lovastatin–levodopa combination was more optimal at reducing tremors than the standard treatment, pointing to a potentially superior therapeutic approach for future investigation.

Here the authors evaluateE various configurations of Llama 3.2 models (ranging from 1B to 8B parameters trained across 1 to 5 epochs) to serve as cost-effective math tutoring assistants for K-12 classrooms. Their findings show that while the largest 8B model trained for 5 epochs achieved peak accuracy, smaller fine-tuned models provide a viable, resource-efficient balance for practical educational deployment.

Here the authors investigated whether freshwater nematomorph parasites use chemical cues for mate finding and predator avoidance by exposing them to water from the opposite sex, crushed conspecifics, and plain freshwater. Although their experimental exposures yielded no statistically significant behavioral effects, the study establishes a methodological foundation for exploring chemical ecology in these understudied organisms.

In this study, we investigated how the complexity of a query can influence tool-use hallucinations in large language models that were tasked with setting an appointment. Using explainable AI (XAI) as a tool to test the hypothesis, we analyzed trends in hallucination rates by the type of query and saw results that when complexity and ambiguity of the query increased (such as asking for multiple days or unclear time ranges), the model was more likely to make errors due to misunderstanding time-related data from tool outputs. This shows that making large language models (LLMs) understand what seems logical to a human is still difficult, especially in complex tasks, and that knowing what causes these errors can help build more trustworthy AI systems.

Coverage of preventive dental care has been increasingly disappearing from Medicaid programs. The authors explore the effects of preventive dental care not being included in Medicaid or not adequately used, identify vulnerable populations, and suggest possible solutions.

Min et al show that fruit flies experience increased lifespand upon treatment with sildenfil, a drug developed to treat erectile dysfunction. These results suggest further study is required on the anti-aging potential of this drug.

This study investigated whether thiamine (vitamin B1) could mitigate the harmful effects of lead contamination on plant growth. Using garden cress (Lepidium sativum), we found that lead exposure reduced plant growth and biomass, while thiamine treatment partially alleviated these effects, improving shoot length and overall plant length. These findings highlight the potential of thiamine as a simple strategy to improve plant resilience to heavy metal stress, with implications for agricultural productivity and food security.

This study investigates the effect of water saturation in a two-layer fluidization behavior of an overlying dry sand bed. Building on prior work showing that moisture inhibits fluidization in granular media, the authors address an underexplored configuration involving layered dry and wet sand. The experiments demonstrate that even minimal water saturation in the sub-layer prevents uniform fluidization of the dry upper layer, leading to the conclusion that two-layer fluidized beds with moisture are not viable under the conditions tested.

Using county-level epidemiological data from the Texas Department of State Health Services, this study implemented an SIRV model in Python to simulate measles transmission in Gaines County under different vaccination scenarios.

The authors use MoralBERT, a BERT-based machine learning model, to analyze the prevalence and evolution of moral language in art critique journals from 1960 to 2015. They draw on Moral Foundations Theory to examine changes in five virtue and five vice foundations over time. They discover slight increases in degradation and care and a decrease in purity among otherwise stable patterns. The study is a novel application of computational moral analysis in a domain not typically associated with such tools. Although the moral signals were relatively faint, the study offers insights into shifting art world discourses and models an exciting method for future inquiry.