In this study, the authors investigate the effects of acidity on the survival of commercial probiotic Lovebug bacterial strains.
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Prediction of preclinical Aβ deposit in Alzheimer’s disease mice using EEG and machine learning
Alzheimer’s disease (AD) is a common disease affecting 6 million people in the U.S., but no cure exists. To create therapy for AD, it is critical to detect amyloid-β protein in the brain at the early stage of AD because the accumulation of amyloid-β over 20 years is believed to cause memory impairment. However, it is difficult to examine amyloid-β in patients’ brains. In this study, we hypothesized that we could accurately predict the presence of amyloid-β using EEG data and machine learning.
Read More...Identification of a core set of model agnostic mRNA associated with nonalcoholic steatohepatitis (NASH)
In this study, the authors analyze gene expression datasets to determine if there is a core set of genes dysregulated during nonalcoholic steatohepatitis.
Read More...Photometric analysis and light curve modeling of apparent transient 2020pni
Supernovas are powerful explosions that result from gravitational collapse of a massive star. Using photometric analysis Arora et al. set out to investigate whether 2020pni (located in galaxy UGC 9684) was a supernova. They were ultimately able to identify 2020pni as a Type II-L supernova and determine it's distance from earth.
Read More...Innovative Treatment for Reducing Senescence and Revitalizing Aging Cells through Gene Silencing
Cellular senescence plays a key role in aging cells and is attributed to a number of disease and pathology. These authors find that genetic editing of both RPS6KB1 and PPARGC1A revitalizes a human skin fibroblast cell line.
Read More...Does technology help or hurt learning? Evidence from middle school and high school students
Here, recognizing the vastly different opinion held regarding device usage, the authors considered the effects of technology use on middle and high school students' learning effectiveness. Using an anonymous online survey they found partial support that device use at school increases learning effectiveness, but found strong support for a negative effect of technology use at home on learning effectiveness. Based on their findings they suggest that the efficacy of technology depends on environmental context along with other important factors that need consideration.
Read More...Buttermilk and baking soda increase pancake fluffiness by liberating carbon dioxide
Here, seeking a better understanding of what determines the fluffiness of a pancake, the authors began by considering a chemical reaction that results in the production of carbon dioxide gas from recipe ingredients, specifically sodium bicarbonate or baking soda. The substitution of homemade buttermilk for milk and adding more baking soda was found to result in significantly fluffier pancakes.
Read More...Utilizing the Magnus effect to produce more downforce than a standard wing
Here, seeking a better solution to produce downforce that keeps a vehicle grounded at high speeds than wings which tend to result in degraded car performance due to increased air resistance, the authors considered using the Magnus effect as a replacement. The authors found that a spinning cylinder generated significantly more downforce through the Magnus effect than a standard wing at all wind speeds as simulated through the use of a leaf blower. They suggest that a cylinder could be a potential replacement for a wing when downforce is a priority.
Read More...Rubik’s cube: What separates the fastest solvers from the rest?
In this study, the authors assess the factors that allow some speedcubers to solve Rubik's Cubes faster than others.
Read More...Mask wearing and oxyhemoglobin saturation effects during exercise
Wearing face masks has become a common occurrence in everyday life and during athletics due to the spread of diseases. This study tested if masks would affect blood percent saturation of hemoglobin (SpO2) during treadmill exercise. The data analysis showed that mask type, time, and the interaction of mask type and time were significant results, regardless of physical ability. These results may assist athletes in understanding the differences between training and competing with and without a mask.
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