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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 ›

  • Arts, Social Sciences, Humanities & Policy
    Quantifying Tonal Stability and Key Ambiguity Metrics across Musical Genres using KS and Tonnetz
    Abstract Quantifying tonal stability and harmonic motion across musical styles remains a central challenge in computational musicology. This study presents a computational framework for analyzing tonal dynamics and key ambiguity using symbolic MIDI (Musical Instrument Digital Interface) data. Musical excerpts were segmented into fixed temporal windows and converted into chroma representations, from which six-dimensional Tonnetz […]
    Mehak Dhawan
    |
    August 25, 2026
  • Biology, Health Sciences, Life Sciences, Public Health
    Comprehensive Monitoring and Evaluation of Cardiovascular Disease Risk
    Abstract Cardiovascular disease (CVD) is the leading cause of death globally. Early intervention is critical in preventing end-stage cardiovascular symptoms. Previous research has shown that risk factors interact synergistically to increase overall CVD risk. However, invasive procedures, inconvenience, time-consuming visits, and subtle symptoms discourage people from going to the hospital for a diagnosis, disallowing early […]
    Anna Li
    |
    August 25, 2026
  • Health Sciences, Public Health
    Real-Time Biomechanical Analysis for ACL Injury Prevention Using Markerless Motion Capture and Pose Estimation
    Abstract Background/Objective: There are about 200,000 ACL injuries sustained per annum by athletes in the U.S., and the conventional techniques for screening these costs in excess of \$100,000 and require specialized lab space. This paper develops a proof-of-concept technique using YOLO pose estimation and a normal web camera to assess risk of ACL injury while […]
    Matthew Bae
    |
    August 25, 2026
  • Biology, Biomedical Engineering, Engineering, Life Sciences
    Optimizing HIV-1-Tat/P53 Complex Recognition Via Real-Time Electrochemical Chimeric Aptamer-Based Biosensing
    Abstract Acquired immunodeficiency syndrome (AIDS), caused by human immunodeficiency virus (HIV), increases the risk of various cancers, including Kaposi sarcoma and several lymphomas. In part, this is a result of activity of the regulatory protein HIV-1-Tat which binds to tumor suppressor p53, reducing the production of p21 and inhibiting cell-cycle arrest. We propose an electrochemical […]
    Rohan Goyal, Julie Nevis
    |
    August 24, 2026
  • Biomedical Engineering, Engineering
    Voice to Touch: A Low-Cost Solenoid-Based Braille Actuation System for Tactile Literacy
    Abstract Written language is fundamental to literacy and autonomy, yet many visually impaired students still lack access to affordable refreshable Braille technology. Refreshable Braille displays often cost thousands of dollars because of their piezoelectric actuators, placing them out of reach for many school districts, families, and learners. The purpose of this paper is to demonstrate […]
    Varun Patankar, Brendon Luo
    |
    August 24, 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 ›

  • AI & Machine Learning, Computing, Data & AI, Earth & Environment, Sustainability
    Environmental Suitability Modeling for Solar Installations Using Convolutional Neural Networks
    Abstract As technology has increased, energy demand has also increased. Conventional methods of producing energy also produce harmful byproducts that damage the environment. Due to this issue, people have turned to renewable energy sources like solar power as an alternative. However, few consider the environmental impact of these solar panels. Most studies evaluate the production […]
    Aria Mitra
    |
    August 12, 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 ›

  • Earth & Environment, Environmental Science
    Forecasting Carbon Dioxide Pollutant in the Air in Cupertino, California with Machine Learning
    Abstract Air pollution is a growing issue in the world, causing cancer, asthma, and overall mortality rates to increase, as a result of increased burning of fossil fuels and released toxins from human activity. In order to prevent more people from health deterioration from air pollution, awareness about it must be raised in daily life. […]
    Hannah Lyn
    |
    August 23, 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 ›

  • 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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