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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 ›

  • AI & Machine Learning, Computing, Data & AI
    Artificial Intelligence for Lung Cancer Detection and Characterization on Computed Tomography: A Narrative Review of Validated Performance, Clinical Implementation, and the Road to Population-Level Impact
    Abstract Background: Lung cancer is one of the leading causes of cancer deaths worldwide, responsible for approximately 1.8 million deaths each year. Although low-dose CT (LDCT) screening can reduce lung cancer mortality by 20–33%, limited radiologist capacity and low screening participation hinders the early detection. This review explores use of Artificial Intelligence (AI) to support […]
    Harshatej Simhadri
    |
    September 21, 2026
  • Biomedical Engineering, Engineering
    Force-to-Power Ratio of Prosthetic Actuation Methods: Tendon-Driven vs. Linkage-Driven Designs
    Abstract The efficiency of robotic prosthetic hands depends heavily on how mechanical power is transmitted from the motor to the actuation method. There are two common approaches, tendon-driven actuation and rigid linkage-driven actuation. Each method offers different advantages: tendon-driven systems often are more lightweight and allow for compliant motion, while linkage systems give more structural […]
    Arnav Gaddamanugu
    |
    September 21, 2026
  • Mitigating the Environmental Cost of the AI Revolution
    Abstract Background and Objective: As artificial intelligence (AI) develops, data centers need more electricity and water. This review evaluated how data centers could reduce these demands by considering computing operations per unit of energy rather than peak theoretical performance. Methods: I identified reports from peer-reviewed journals, public and standards bodies, and other sources, and excluded […]
    Neil Wang
    |
    September 21, 2026
  • Life Sciences, Neuroscience
    Bridging the Gap Between CTE and Alzheimer’s: A CTE Focused Review of Tau-Related Frontal and Hippocampal Pathology in CTE and Alzheimer’s Disease
    Abstract Chronic Traumatic Encephalopathy (CTE) and Alzheimer’s disease (AD) are progressive neurodegenerative disorders that share abnormal tau accumulation but differ in their underlying causes. CTE is associated with repetitive head impacts, commonly observed in contact-sport athletes and military personnel, while AD is primarily associated with aging, amyloid-beta (Aβ) accumulation, and tau pathology. Both disorders produce […]
    Day-Liin Williams, Aleksander A. Bogoniewski
    |
    September 21, 2026
  • Pathway-Level Immune Signatures Associated with Sublingual Immunotherapy in Allergic Rhinitis
    Abstract Allergic rhinitis is a common disorder characterized by an exaggerated immune response to environmental allergens such as pollen. Sublingual immunotherapy (SLIT) has the potential to reduce symptoms and provide long-term clinical benefit, however, the transcriptomic signatures of treatment response are not fully characterized. Most of the previous studies have focused on identifying individual differentially […]
    Christopher Wang
    |
    September 20, 2026

Life Sciences ›

Health Sciences ›

  • Health Sciences, Public Health
    Daily Habits, Stress, and GPA: A Cross-Sectional Analysis of Lifestyle Factors Among College Students
    Abstract Objective: This research investigates the effect of behavioral and environmental factors on college students’ academic performance, measured by GPA. This was to examine the linear relationships of six daily habits: study time, sleeping, involvement in social activities, participation in extracurricular activities, physical exercise, and stress level. The research seeks to determine which habits have […]
    Gnana Aasrith Arvapalli
    |
    September 18, 2026

Physical Sciences ›

Computing, Data & AI ›

  • Computer Science, Computing, Data & AI
    Misinformation Spread as a Graph Process: Network Topology, Structural Immunization, and Regime Dependence
    Abstract Network structure can alter how rapidly misinformation-like contagion spreads and which nodes are most valuable to protect. This study compared susceptible-infected-recovered-type diffusion on 1,000-node Erdős-Rényi (ER), Watts-Strogatz (WS), and Barabási-Albert (BA) networks. One hundred graph realizations per topology were analyzed without intervention, and eight structural-immunization strategies were tested at 1%, 5%, and 10% coverage: […]
    Ishaan Neelamana
    |
    September 16, 2026

Engineering ›

  • Electrical Engineering, Engineering
    Torque Response to Input Currents in Electrically Excited Synchronous Motors Using Finite Element Method
    Abstract In this study, we constructed a two-dimensional magnetostatic finite element method (FEM) model that simulates the magnetic field distribution and calculates the torque generated by an electrically excited synchronous motor (EESM). A cross-sectional model of an EESM was created, with region-specific relative magnetic permeability and equivalent current densities in the windings. Specifically, our algorithm […]
    Ruixiang Jiang, Yichun Zhang
    |
    September 16, 2026

Earth & Environment ›

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, Humanities & Policy, Urban Planning
    Historical Redlining, Pollution Burden, and SB 535 Designation in California
    Abstract In the 1930s, Home Owners’ Loan Corporation (HOLC) residential security maps divided city neighborhoods into grades, from A (“best”) to D (“hazardous”); those lower-grade neighborhoods have been regarded as related to lasting social and environmental inequalities, although the maps were not the sole mechanism by which such inequalities arose. We examined whether historical HOLC […]
    Elaine Zou
    |
    September 15, 2026

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