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The Effects of Birth Order on Indicators of Academic Success Among High School Students of Multiple Ethnicities

Geil et al. | Jan 30, 2012

The Effects of Birth Order on Indicators of Academic Success Among High School Students of Multiple Ethnicities

In many cultures and for many centuries, the implications of birth order have been examined. Birth order has been shown to affect personality, accomplishments, and even career choice. This study investigated the impact of birth order and ethnicity on two measures of academic success in high school: a student’s grade point average (GPA) and the number of Advanced Placement (AP) classes he or she took.

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Innovative fake health news detection: Integrating emotional features into graph neural networks

Wang et al. | Jul 03, 2026

Innovative fake health news detection: Integrating emotional features into graph neural networks
Image credit: Wang and Wang

This manuscript tackles a major social issue in the health news sector, with social media being one of the primary sources of information and a prime spot to propagate fake news. The author proposes X-HND , which is a unique architecture that combines emotional and contextual analysis in a Graph Neural Network to accurately detect fake news. This was a multi-step process which involved the creation of a custom health news dataset (HNDataset), and an emotional variant that uses RoBERTa to extract emotion. These dataset were then used to prove the hypothesis that accuracy increases when the custom dataset is used to train the model and that with the integration of emotion capture, the detection accuracy increases further.

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Large-scale brain network connectivity under anxiety induced by naturalistic story listening

Chang et al. | Jun 03, 2026

Large-scale brain network connectivity under anxiety induced by naturalistic story listening

This study found that anxiety induced by a suspenseful story increased communication between the brain’s salience, default mode, and central executive networks, with the central executive network acting as a bridge during peak tension. These findings suggest that anxiety alters large-scale brain connectivity patterns and may help inform future diagnostic tools and personalized treatments for anxiety disorders.

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The effects of a high-sucrose diet on the survival of Drosophila melanogaster from a bacterial infection

Warwick et al. | May 22, 2026

The effects of a high-sucrose diet on the survival of <i>Drosophila melanogaster</i> 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.

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Assessing machine learning model efficacy for brain tumor MRI classification: a multi-model approach

Dhingra et al. | Mar 14, 2026

Assessing machine learning model efficacy for brain tumor MRI classification: a multi-model approach
Image credit: Dhingra and Dhingra

This manuscript explores the performance of five different machine learning models in classifying brain tumors from a dataset of MRI scans. The authors find that several of the models showed >90% accuracy. Thus, the authors suggest that machine learning models demonstrate potential for effective implementation in clinical settings, including as a diagnostic tool that can be used to complement the expertise of neuroradiologists.

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