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  • AI & Machine Learning, Biology, Computing, Data & AI, Life Sciences
    Syn4MD: Aiding Medical Diagnosis through Image Synthesis and Classification
    Abstract Medical trainees depend on diverse visual reference material to develop diagnostic pattern-recognition skills, yet such material is often limited in diversity and accessibility. This paper presents a classifier-in-the-loop generative framework for synthesising realistic histopathology images: a Stable Diffusion v1.5 model is fine-tuned using Low-Rank Adaptation (LoRA) on the PathMNIST dataset, consisting of nine colorectal […]
    Kanishk Choudhary
    |
    August 3, 2026
  • Biology, Chemistry, Life Sciences, Physical Sciences
    DiaBreath: Multivariate Analysis of a Non-Selective Low-Cost Metal Oxide (MOX) Sensor Array for Breath-Based Diabetes Screening
    Abstract The number of diabetes patients is increasing worldwide, but many cases stay undiagnosed in low-resource regions. The A1C blood test is invasive and costly, therefore it is often not available in these regions. In this research, DiaBreath is proposed as a low-cost noninvasive screening system based on exhaled breath analysis. Volatile organic compounds (VOCs) […]
    Woo Sung Choi
    |
    July 24, 2026
  • Computing, Data & AI, Data Science, Economics, Social Sciences, Humanities & Policy
    A Statistical Physics Approach to Market Dynamics: Regime Shifts in Digital vs. Local Vendor Choice
    Abstract Digital commerce platforms compete with local vendors under frictions of time, price, and visibility. We test whether an interpretable choice model with reinforcement and social influence can yield substantial changes in aggregate market share as control parameters vary. We simulate repeated customer choice among vendors using a utility function that combines vendor attributes (price, […]
    Amaira Goyal
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    July 12, 2026
  • AI & Machine Learning, Computing, Data & AI
    Predicting Limited Service Zones Using GIS-Integrated Machine Learning: A Case Study of Three Cities
    Abstract Local businesses are important to neighborhood service access, but access to these services is limited in some areas. This study uses GIS and machine learning to identify possible limited service zones for restaurants and supermarkets across Dublin, Pleasanton, and Livermore in Alameda County, California. The model dataset included 1,134 Alameda County census block groups, […]
    Mandy Yuan
    |
    July 8, 2026

Most Discussed ›

NHSJS Reports ›

  • AI & Machine Learning, Computing, Data & AI
    A Probabilistic Evaluation of Large Language Models on High School Commonsense Questions
    Abstract Large language models (LLMs) are increasingly used to assist students and teachers, yet the benchmarks used to select them rarely test the school-specific everyday knowledge that student-facing applications draw on. Most benchmarks also score only a single best answer, even though many commonsense questions admit several plausible responses. We construct a High School Commonsense […]
    Zhilin Wang, Bolin Wang
    |
    September 10, 2026
  • AI & Machine Learning, Computing, Data & AI
    Assessing the Viability of Lightweight Deep Learning Models through Audio Gender Classification
    Abstract Large-scale deep learning models have become the dominant approach in audio NLP, yet their computational demands make deployment impractical in resource-constrained environments. This study evaluates five lightweight architectures (SVM, MLP, BiLSTM, MobileNet, CRNN) against a transformer baseline on an audio gender classification task. Each model was trained and fine-tuned on a 14,461-sample dataset of […]
    Lingyuan Yan, Mariel Werner
    |
    September 10, 2026
  • Earth & Environment, Environmental Science
    PFAS as Environmental Endocrine Disruptors: Impacts on the Human Immune System
    Abstract Per- and polyfluoroalkyl substances (PFAS) are man-made fluorinated chemicals that are persistent in the environment with very slow degradation. Consequently, their release to the environment has led to widespread contamination of the environment and bioaccumulation in human blood. PFAS are endocrine disruptors and act by interfering with endocrine and immune system communication to disrupt […]
    Baegeun Hong
    |
    September 10, 2026
  • AI & Machine Learning, Computing, Data & AI
    SafeScroll: A Machine Learning-Enhanced Browser Extension for Real-Time Trauma Trigger Detection and Content Filtering
    Abstract Unexpected online images can cause flashbacks and severe distress for individuals with Post-Traumatic Stress Disorder (PTSD) or related trauma conditions. Existing moderation tools filter broad categories like nudity or violence, overlooking personalized triggers. Since trauma is unique to each individual, trigger cues are not necessarily graphic; they can be neutral objects, such as baseball […]
    Ananya Patel
    |
    September 10, 2026
  • Health Sciences, Sports Science
    Using AI Pose Estimation to Characterize Tennis Serve Phases and Explore Serve Speed Prediction
    Abstract Background/Objective: AI-based pose estimation was used to extract biomechanical features from broadcast tennis footage. I tested whether the data could differentiate between the phases of serve and predict serve speed. Methods: Loading and extension still images of the tennis serve were manually extracted from broadcast footage of the 2025 Australian Open quarter finalists. YOLOv8 […]
    Maya Cukras
    |
    September 9, 2026

Life Sciences ›

  • Biology, Earth & Environment, Environmental Science, Life Sciences
    A Data Quality Analysis of CITES U.S. Mammal Import Records and Implications for Zoonotic Disease Surveillance
    Abstract Background/Objective: International wildlife trade monitoring relies on accurate reporting from both importing and exporting nations. However, regulations built on this data often prove inadequate, as gaps in records allow disease risks to slip through the cracks. This study investigated discrepancies in United States live mammal import tracking data in the CITES Trade Database between […]
    Kaden Li
    |
    September 1, 2026

Health Sciences ›

  • AI & Machine Learning, Computing, Data & AI, Data Science, Health Sciences, Sports Science
    A PCA-Based Framework for Injury Risk Profiling Using Basketball Training and Biomechanical Datasets
    Abstract Athlete monitoring for injury surveillance in basketball generates a large amount of data pertaining to player health and training. A number of collected variables may be correlated, which makes injury risk analysis challenging. In this study, a Principal Component Analysis (PCA) based framework was developed for injury risk profiling and evaluated using three publicly […]
    Sidhant Paruchuri
    |
    August 10, 2026

Physical Sciences ›

Computing, Data & AI ›

  • AI & Machine Learning, Computing, Data & AI
    Physical-Hazard Evaluation of Reasoning in Large Language Models: A Pilot Study
    Abstract Large language models (LLMs) perform well on explicit reasoning tasks, but it is unclear whether they spontaneously flag latent physical hazards in ordinary requests. We present a pilot benchmark of twelve open-ended items, each concealing one hazard that follows from the stated facts, plus two forced-safe controls. Because models answer freely, they receive credit […]
    Ari Tsyganskiy
    |
    September 7, 2026

Engineering ›

  • Aerospace Engineering, Engineering
    Comparative Performance Analysis of Hollow and Annular Combustors in Rotating Detonation Engines
    Abstract Rotating detonation engines (RDEs) have emerged as a promising propulsion technology, offering superior thermodynamic efficiency over conventional Brayton-cycle engines due to their utilization of detonation combustion. Annular combustors (with inner and outer walls) are typically used in RDEs. However, hollow—lacking an inner wall—combustors are emerging as a promising alternative due to their potential mitigation […]
    Sidh Pandya
    |
    February 4, 2026

Earth & Environment ›

  • Biology, Earth & Environment, Environmental Science, Life Sciences
    A Data Quality Analysis of CITES U.S. Mammal Import Records and Implications for Zoonotic Disease Surveillance
    Abstract Background/Objective: International wildlife trade monitoring relies on accurate reporting from both importing and exporting nations. However, regulations built on this data often prove inadequate, as gaps in records allow disease risks to slip through the cracks. This study investigated discrepancies in United States live mammal import tracking data in the CITES Trade Database between […]
    Kaden Li
    |
    September 1, 2026

Mathematics & Statistics ›

  • Mathematics, Mathematics & Statistics
    Numerical Exploration of HOBO vs. QUBO: Using Sudoku as a Benchmark
    Abstract Sudoku, with its complex combinatorial structure, provides a natural NP-hard benchmark for testing optimization models. In this study, we quantitatively compare Quadratic Unconstrained Binary Optimization (QUBO) and Higher-Order Binary Optimization (HOBO). While QUBO is compatible with quantum computers, it is often evaluated on classical simulators known as quantum simulators which calculates with tensor network […]
    Naoaki Mochida
    |
    February 24, 2026

Social Sciences, Humanities & Policy ›

  • Social Sciences, Social Sciences, Humanities & Policy
    Masculinity in Sport: A Survey-Based Study
    Abstract Sporting activities have proven to be another important site of learning, displaying and challenging hegemonic masculinities. Previous research has, however, mostly considered hegemonic masculinities, inclusive masculinities and the fitness culture of women as separate topics. This study examines relationships among masculine pressures, inclusive masculinity, perceived benefits of participating in sport-related activities and attitudes towards […]
    Zhiyuan Ou
    |
    September 9, 2026

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