The authors looked at different factors, such as age, pre-existing conditions, and geographic region, and their ability to predict what an individual's health insurance premium would be.
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Exploring a new mechanism controlling thermogenesis of adipose tissue
The effect of other neuroendocrine hormones in the regulation of adipose tissue thermogenesis.
Read More...Increased carmine red exposure periods yields a higher number of vacuoles formed in Tetrahymena pyriformis
T. pyriformis can use phagocytosis to create vacuoles of carmine red, a dye which is made using crushed insects and is full of nutrients. Establishing a relationship between vacuole formation and duration of exposure to food can demonstrate how phagocytosis occurs in T. pyriformis. We hypothesized that if T. pyriformis was incubated in a carmine red solution, then more vacuoles would form over time in each cell.
Read More...How visualization influences strength endurance
Recognizing a potential link between mental focus and physical endurance, here, the authors considered the effects of mental visualization on strength endurance. By comparing the number of repetitions completed in sets where the lifter was aware of the weight to be lifted against sets where the lifter was kept unaware, they found that the lifter was able to maintain strength endurance when unable to accurately visualize the weight they lifted in this exploratory study.
Read More...Regenerative Effects of Turmeric and Alpha-Lipoic Acid in Lumbriculus variegatus
This study examines the effects of tumeric, and alph-lipoic acid on segment regeneration and cardiovascular pulse rate, using the California blackworm. Results can ultimately demonstrate potential natural compounds for tissue repair and their effect on physiological activity.
Read More...Lung region complexity affects Grad-CAM and Deep Taylor outcomes in pneumonia predictions
The authors studied the accuracy of two commonly used explainable AI techniques for detecting pneumonia in chest x-rays.
Read More...Evaluating need for adversarial training data given algorithmic defense methods against adversarial attacks
The purpose of this study was to determine the necessity of previous non-algorithmic attacks (Adversarial Training) in light of algorithmic defense methods (Gradient Masking and Defensive Distillation) against FGSM attacks. We found a significant increase in image classification accuracy from defense methods with the non-algorithmic defense method compared to ones without. By analyzing the significance with a McNemar test, we determined that the inclusion of non-algorithmic defense methods is still necessary in light of new algorithmic defense methods.
Read More...A potential enzymatic pathway for polystyrene degradation using saliva of greater wax moth Galleria mellonella
Investigation of the potential of waxworm saliva, the secretion of Galleria mellonella, for plastic degradation.
Read More...Yeast catalysis of hydrogen peroxide as an enhanced chemical treatment method for harvested rainwater
The authors looked at different treatments to clean up rainwater collected at home. They found that chlorine treatment and treatment with hydrogen peroxide catalyzed by yeast showed similar potential for cleaning up contaminated rainwater, but that further studies are needed to better assess impact on specific contaminant levels still present.
Read More...How artificial intelligence deep learning models can be used to accurately determine lung cancers
The authors looked at the ability of different deep learning models to predict the presence of lung cancer from chest CT scans. They found that a pre-trained CNN model performed better than an autoencoder model.
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