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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 ›

  • Biology, Life Sciences
    Corpus Callosum Disorganization in Schizophrenia: A Systematic Review with Meta-Analysis
    Abstract Objective: Corpus callosum (CC) abnormalities have been proposed to contribute to schizophrenia (SCZ) pathophysiology, but findings across studies are inconsistent. This systematic review asked whether reproducible patterns of CC volume and fractional anisotropy (FA) alterations exist between individuals with SCZ and healthy controls (HC).Methods: Studies were included if they enrolled adults (≥18 years) with […]
    Adwaita Mohanty
    |
    September 3, 2026
  • Biology, Life Sciences, Neuroscience
    Vitamin D and N-Acetylcysteine as Neuroprotective Modulators: A Gene Network Analysis of Opioid Resistance Mechanisms in the Human Brain
    Abstract Opioid use disorder (OUD) is a major public health issue in Canada and is associated with altered brain circuits involved in reward, stress, and cognitive control. Although vitamin D and N-acetylcysteine (NAC) have been studied in relation to neurobiological processes such as inflammation, oxidative stress, and glutamatergic signaling, their relevance to opioid-related molecular pathways […]
    Sion Shin, Woo Rin Lee
    |
    September 3, 2026
  • AI & Machine Learning, Computing, Data & AI, Data Science
    Proactive Reasoning in the Analysis of Misleading Charts by Generative AI Systems: An Exploratory Study
    Abstract This paper examines how well generative AI (GenAI) systems engage in proactive reasoning—whether they can detect problems on their own, draw on relevant knowledge, and adjust their analysis without explicit instruction. To investigate this, we conducted an exploratory study focusing on three widely used GenAI systems: ChatGPT, Claude, and Copilot. Each system was asked […]
    Leanna Geerts
    |
    September 3, 2026
  • Life Sciences, Neuroscience
    The Musician’s Brain as a Model for Use-Dependent Plasticity and Multisensory Neuro-Rehabilitation
    Abstract Musical training is associated with use-dependent neuroplasticity due to its intensive multisensory and sensorimotor demands. Beyond its psychological benefits, playing a musical instrument requires continuous integration of motor, auditory, and visual feedback, which is associated with experience-dependent plasticity. For example, motor coordination and auditory feedback circuits engaged during musical practice may overlap with networks […]
    Evelyn Mire
    |
    September 2, 2026
  • AI & Machine Learning, Computer Science, Computing, Data & AI
    Unwrapping Forward-Looking Pipe Inspection Images into Polar-Remapped Rectangular Representations
    Abstract In our day-to-day life, we need drainage infrastructure. However, the routine inspection of these infrastructures is hazardous, labor intensive, and irregular. In this paper, polar-remapped rectangular representations are produced by converting imagery into a flat format. These representations provide a structured format that may facilitate downstream visual analysis of pipe conditions. The algorithm estimates […]
    Harshit Ramesh
    |
    September 2, 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 ›

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 ›

  • 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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