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Measuring effects of caffeine and melatonin on learning trends of Zebrafish juveniles

Wei et al. | Jun 28, 2026

Measuring effects of caffeine and melatonin on learning trends of Zebrafish juveniles

This study investigates how caffeine and melatonin affect learning in adolescent zebrafish, serving as a model for human teens. Using an automated system to track behavior, we found that melatonin slowed learning while caffeine caused erratic, inconsistent responses, suggesting both substances can negatively impact adolescent learning patterns. These findings highlight the need for further research into their physiological effects and potential implications for human adolescents.

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OTGP: An innovative biometric authentication system with on-the-go passwords using a novel typing signature

Shirodkar et al. | Jun 08, 2026

OTGP: An innovative biometric authentication system with on-the-go passwords using a novel typing signature
Image credit: Shirodkar and Balasubramanian

This manuscript describes a new method of on-the-go passwords using typing characteristics. The authors developed a keyboard and keystroke recording setup and tested it with 30 participants. The results indicated the five chosen parameters are distinct across participants yet consistent across time for each participant, making it a plausible candidate for a behavior-based password system.

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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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The effect of lead oxide concentrations on the bioluminescence intensity of Panellus stipticus

Park et al. | Mar 02, 2026

The effect of lead oxide concentrations on the bioluminescence intensity of <i>Panellus stipticus</i>

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.

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