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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
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    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 ›

  • Chemistry, Physical Sciences
    Creating Natural Paint Through Gardenia Fruit Extraction
    Abstract Gardenia fruit, derived from the Gardenia jasminoides plant, is a small berry known for its medicinal and dye-producing properties, found mainly in Asia—specifically Southern China and Japan. This plant provides a vibrant yellow pigment that is currently used in a variety of food products as a natural colorant. Its vivid pigment makes it the […]
    Siying Zhao, Ryan Siho Chung, Ariana Lee, Dylan Kim
    |
    August 31, 2026
  • AI & Machine Learning, Computing, Data & AI
    Accessible VQA Evaluation Using Reading-Level Controlled GQA
    Abstract This paper introduces an Accessibility Focused GQA Variant dataset, AFGV, with the aim of assessing the linguistic accessibility of Visual Question Answering systems for VQA in educational, real-world, and assistive contexts. AFGV performs rewrites of the original prompt that can help assess the models’ sensitivity to lexical variation while holding the image and ground […]
    Michael Dong
    |
    August 30, 2026
  • Biology, Life Sciences
    Mechanisms and Pathological Effects of Misfolded Prion Proteins: A Systematic Review
    Abstract Prion diseases are a class of rare, progressive neurodegenerative disorders caused by the misfolding of the normal prion protein (PrPC) into the scrapie prion protein (PrPSc). Though not a prevalent disease, studies of prion diseases offer insight into similar neurological mechanisms that may be present in more common neurodegenerative diseases, namely diseases like Alzheimers […]
    Ananya Mandal
    |
    August 30, 2026
  • Social Sciences, Social Sciences, Humanities & Policy
    How Policy Announcements Shape Online Political Discourse: A Quasi-Experimental Analysis of Technical Language and Engagement on Reddit
    Abstract This study examines the effects of policy announcements on the sophistication and engagement levels of online political discourse. While existing research has underpinned the idea that major events attract significant attention online, there is a lack of literature examining how the specific type of event affects both the quality of discourse and the technical […]
    Alice Chen
    |
    August 30, 2026
  • Biomedical Engineering, Engineering, Life Sciences, Neuroscience
    Evaluating the Potential of Hydrogels for Modulating Cerebrospinal Fluid Mechanics in Syringomyelia: A Comprehensive Review
    Abstract Introduction: Syringomyelia is a chronic spinal cord disease that is caused when cerebrospinal fluid (CSF) flow through the foramen magnum of the brain is disrupted. The disruption of CSF flow creates a fluid-filled cavity, or syrinx, within the spinal cord. Current treatments include posterior fossa decompression, shunting, and conservative management. Methods: A literature review […]
    Raghav Kuruba
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    August 29, 2026

Life Sciences ›

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 ›

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 ›

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 ›

  • Finance, Social Sciences, Humanities & Policy
    Path Signatures for Regime Detection in Cryptocurrency Markets: A Rough-Path Framework Using Spot, Perpetual Basis, and Funding Rates
    Abstract Background. Cryptocurrency markets exhibit fast, reflexive regime transitions driven by leverage cycles, coordinated liquidations, and perpetual-swap funding imbalances. Classical regime-detection methods — hidden Markov models (HMMs) on returns and rolling-volatility thresholds — impose Markovian dynamics and summarize path information through low-dimensional moments, missing the path-dependent structure of crypto regime shifts.Methods. We develop a regime-detection […]
    Vibhun Naredla
    |
    August 20, 2026

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