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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
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    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
    |
    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 ›

  • Health Sciences, Medicine
    Alzheimer’s Disease: Exploratory Analysis of Genetic and Demographic Associations in a Synthetic Dataset
    Abstract Alzheimer’s disease (AD) is a neurodegenerative disease characterized by cognitive decline, memory loss, and later, loss of basic physical functioning. It is the leading cause of dementia and represents a growing global health burden, projected to rise in the future. This study carried out an exploratory analysis of genetic and demographic risk factors associated […]
    Pranavi Raina
    |
    September 7, 2026
  • Health Sciences, Public Health
    Childhood Vaccines and Inflammatory Bowel Disease Progression: A Systematic Review
    Abstract The objective of this paper is to investigate whether childhood vaccination influences the progression of inflammatory bowel disease. This systematic review analyzed trends in studies about vaccination outcomes in immunosuppressed children. The studies used included population cohorts, clinical trials, and hospital record analyses, and were reviewed to examine post-vaccination flare rates, serologic response, and […]
    Shwetha Mukkamala
    |
    September 7, 2026
  • Electrical Engineering, Engineering
    Trends and Challenges in Low-Power Mixed-Signal IC Design for IoT Applications
    Abstract The rapid expansion of Internet of Things systems has increased the demand for low-power mixed-signal ICs capable of operating under strict energy constraints. As autonomous sensor nodes are increasingly being used in sectors such as healthcare, smart homes, and environmental monitoring, power management techniques are reaching their efficiency limits. Though numerous low-power circuit techniques […]
    Arjun Vuppaladadium
    |
    September 7, 2026
  • Economics, Social Sciences, Humanities & Policy
    Externalities of Public Insurance Cutbacks on Productivity, Health, and Social Welfare
    Abstract Public insurance schemes can reduce market failure, decrease inequality, protect vulnerable groups, and promote social welfare. However, rising old-age dependency ratios and governance quality influence their outcomes. This paper examines the potential social and economic externalities associated with reductions in public insurance programs, including health coverage, social security, and unemployment benefits. Using a qualitative […]
    Yuqing Chen
    |
    September 7, 2026
  • Biomedical Engineering, Engineering
    Combination Therapy for Obesity for Increased Efficacy
    Abstract Obesity is a growing global health crisis, affecting approximately one in eight individuals worldwide. Glucagon-like peptide-1 (GLP-1) receptor agonism is an established target in obesity therapy, but as monotherapy it has limitations, including loss of lean mass and a plateau in weight reduction. Combination strategies pairing GLP-1 receptor agonism with a second mechanism have […]
    Udayan Basu, Arjun Mandloi, Ajinkya Sase, Vishnu Samara
    |
    September 6, 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 ›

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