The authors used developed a machine learning tool for studying social media discourse surrounding use of tobacco and cannabis.
Read More...Using machine learning to understand social media discourse on the co-use of tobacco and cannabis
The authors used developed a machine learning tool for studying social media discourse surrounding use of tobacco and cannabis.
Read More...Antioxidative properties of Taiwanese high mountain tea infusions
The authors test the antioxidant content of Taiwanese high mountain teas grown in or processed under differing conditions.
Read More...Pressing filtration for extraction of cabbage dietary fiber and soluble components
Here the authors introduce pressing filtration as a novel, efficient, and low-energy method for extracting dietary fiber from cabbage, which successfully retains heat-sensitive nutrients and achieves a high fiber yield. The study demonstrates the scalability and economic viability of this technique for commercial use, highlighting that the resulting high-fiber cabbage powder can be incorporated into familiar foods like hamburger buns and beef patties without compromising taste or sensory quality.
Read More...C reactive protein and risk of neurological deficits and disability in patients with acute ischemic stroke
The authors looked at the correlation between C reactive protein levels and neurological deficits in patients who had suffered an ischemic stroke.
Read More...The correlation between the phase of the moon and the number of psychiatric patients admitted to the hospital
The authors looked at if there was any correlation between the phase of the moon and admissions for psychiatric concerns.
Read More...Energy beverages and sugar: How sweetener type dictates specific gravity
The authors looked at different factors that influence specific gravity in beverages, including sweetener used, caffeine, carbonation, and sodium.
Read More...Predictive modeling of cardiovascular disease using exercise-based electrocardiography
The authors looked factors that could lead to earlier diagnosis of cardiovascular disease thereby improving patient outcomes. They found that advances in imaging and electrocardiography contribute to earlier detection of cardiovascular disease.
Read More...Lung cancer AI-based diagnosis through multi-modal integration of clinical and imaging data
Lung cancer is highly fatal, largely due to late diagnoses, but early detection can greatly improve survival. This study developed three models to enhance early diagnosis: an MLP for clinical data, a CNN for imaging data, and a hybrid model combining both.
Read More...The effect of music on teenagers in combatting stress and improving performance
Here, the researchers investigated how exposure to active versus passive music affects a teenager's ability to perform a challenging task, namely a Sudoku puzzle, under stressful conditions. Following testing 75 high school teenagers split into two group, the researchers found that singing in a choir (active music) yielded a greater improvement in performance compared to passive listening for brief time periods.
Read More...Development of selective RAC1/KLRN inhibitors
Kalirin is a guanine nucleotide exchange factor (GEF) for the GTPase RAC1, linked to schizophrenia and Alzheimer’s Disease. It plays a crucial role in synaptic plasticity by regulating dendritic spine formation and actin cytoskeleton remodeling, which are essential for creating new synapses. Authors developed two novel compounds targeting kalirin, confirming that predictive modeling can indicate biological activity.
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