This study used machine learning models to examine which factors most influenced U.S. household energy consumption in 2020 using data from 18,496 households.
Read More...The influence of economic factors on United States household energy consumption in 2020
This study used machine learning models to examine which factors most influenced U.S. household energy consumption in 2020 using data from 18,496 households.
Read More...Protein kinases in phagocytosis (phagocytotic kinome): A promising biomarker set in cancer therapeutics
This study analyzes genetic alterations and expression patterns of protein kinases involved in phagocytosis across multiple cancers using TCGA data.
Read More...Evaluating the performance of Q-learning-based AI in auctions
Advertising platforms like Google Ads use AI to drive the algorithms used to maximize advertisers benefits. This study shows that AI does not adjust it strategy based on auction type and highlights the limitations of AI running without explicit guidance.
Read More...Part of speech distributions for Grimm versus artificially generated fairy tales
Here, the authors wanted to explore mathematical paradoxes in which there are multiple contradictory interpretations or analyses for a problem. They used ChatGPT to generate a novel dataset of fairy tales. They found statistical differences between the artificially generated text and human produced text based on the distribution of parts of speech elements.
Read More...Temporal characterization of electroencephalogram slowing activity types
The authors use machine learning to analyze electroencephalogram data and identify slowing patterns that can indicate undetected disorders like epilepsy or dementia
Read More...Unlocking robotic potential through modern organ segmentation
The authors looked at different models of semantic segmentation to determine which may be best used in the future for segmentation of CT scans to help diagnose certain conditions.
Read More...Sex differences in sleep disorders of Parkinson’s disease patients associated with a genetic risk variant
The authors use known Parkinson's disease-associated genetic variants to compare the prevalence of sleep dysfunction between males and females diagnosed with Parkinson's disease.
Read More...Survival analysis in cardiovascular epidemiology: nexus between heart disease and mortality
In 2021, over 20 million people died from cardiovascular diseases, highlighting the need for a deeper understanding of factors influencing heart failure outcomes. This study examined multiple variables affecting mortality after heart failure, using random forest models to identify time, serum creatinine, and ejection fraction as key predictors. These findings could contribute to personalized medicine, improving survival rates by tailoring treatment strategies for heart failure patients.
Read More...Comparison of total flavonoid content and DPPH● sequestration in Arabica, Robusta, and Liberica coffee beans
Here the authors used a free radical assay to characterize the antioxidant capacity of three types of coffee beans. They fond that Robusta coffee presented greater inhibition percentages than other species in their free radical assay, indicating higher antioxidant capacity.
Read More...Nature’s reset: The effect of native and invasive plant forage on honey bee nutrition and survival
The authors looked at survival of honey bees over the winter in regards to native and invasive plant availability. They found that native plants provided greater survivability and overall health compared to environments where there was an abundance of invasive plants.
Read More...