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We observed supernova 2025ngs and created its light curve through aperture photometry. We were then able to determine that 2025ngs was a Type II-P supernova.

Consumers in India and the United Arab Emirates live in very different economic and cultural environments, and this study set out to measure how that shapes the way they shop and pay. Surveying 50 people in each country, they found that Indian consumers were more price-sensitive and favored cash, while UAE consumers prioritized convenience, gravitating toward credit cards, mobile wallets, and online shopping. The results offer practical insight for retailers, marketers, and policymakers working across these two fast-growing but culturally distinct markets.

The authors looked at how different factors related to practicing and playing chess would impact a player's rating.

This study investigates the migration intentions of Syrian high school and university students amid ongoing conflict and economic instability. Drawing on survey data, the research examines how academic stage influences migration motivations, preferred destinations, and return intentions. The findings reveal a widespread desire to emigrate, driven by educational, economic, and security concerns, highlighting significant implications for Syria’s future workforce and post-conflict recovery.

Here the authors investigate the potential of the bioluminescent fungus Panellus stipticus to serve as a sustainable bioindicator for environmental lead contamination. Their findings demonstrate that higher lead concentrations cause a measurable decrease in fungal bioluminescence intensity over time suggesting that the fungus could be an effective tool for detecting lead in an environment.

Detecting cervical spondylosis using deep learning

The authors looked at how the presence of difference antibiotic resistance genes would influence antibiotic resistance in Staphylococcus aureus.

The authors looked at ways that seizures in patients with glioblastoma could be treated using C. elegans as a model system.

This study explored how green spaces, climate, traffic, and air quality (GCTA) collectively influence asthma-related emergency department visits in the U.S using machine learning models and explainable AI.

Here, recognizing that brain aneurysms pose a severe threat, often misdiagnosed and leading to high mortality, particularly in younger individuals, the authors explored a novel computer-aided engineering approach. They used magnetic resonance angiography images and computational fluid dynamics, to improve aneurysm detection and risk assessment, aiming for more personalized treatment.