The authors investigated the shedding characteristics of polygons at a Reynolds number of 200.
Read More...Influence of polygon side number on laminar vortex shedding frequency and variability
The authors investigated the shedding characteristics of polygons at a Reynolds number of 200.
Read More...Algorithmic barriers: Investigating student perceptions of AI bias in subjective “culture fit” hiring
This study investigated perceptions of the emerging workforce toward the use of artificial intelligence in hiring, specifically for assessing subjective "culture fit." Through a mixed-methods survey of 150 high school and early-college students in Nepal, we found a significant disconnect between organizational adoption of AI and the profound skepticism of young job candidates, who express deep concerns about fairness, transparency, and the potential for AI to perpetuate systemic discrimination.
Read More...The effects of a high-sucrose diet on the survival of Drosophila melanogaster from a bacterial infection
Excess sucrose consumption has been associated with several health problems, including inflammation and potential negative effects on immune function. However, the exact relationship between sucrose intake and immunity remains unclear, especially during bacterial infections. This study examined how sucrose intake affected the survival of fruit flies following oral infection with the bacterial pathogen Serratia marcescens.
Read More...Evaluating key factors in emotion detection models for AI-driven personalized bibliotherapy
This study evaluates the potential of natural language processing (NLP) models in an emotion-driven bibliotherapy framework to improve mental health challenges.
Read More...Drosophila melanogaster: A model to observe behavioral effects of mutated Foxp
The authors looked at the effects of different treatments using flies with neurodevelopmental disorders.
Read More...Optimizing tennis strategy: a data-driven analysis of point importance
The authors looked at the importance of different point breakdowns needed to win in a game of tennis.
Read More...Predicting sickle cell vaso-occlusion by microscopic imaging and modeling
The authors use blood smears from individuals with sickle cell disease to correlate sickle cell frequency with the occurrence of vaso-occlusive crises.
Read More...Drought prediction in the Midwestern United States using deep learning
The authors studied the ability of deep learning models to predict droughts in the midwestern United States.
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...Differentiating characteristics in exoplanet host stars
The authors looked at what conditions with host stars favor development of exoplanets.
Read More...