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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 ›

  • Economics, Finance, Social Sciences, Humanities & Policy
    Alternative-Data Credit Scoring for Migrant Workers: A Synthetic Data Simulation Study
    Abstract Credit invisibility is a major challenge to financial inclusion, particularly for blue-collar migrant workers who have regular but non-registered income. These groups are excluded by traditional credit-scoring systems, which rely on bank records. This paper examines the potential of linking machine learning models that are developed using alternative data to enhance accuracy and fairness […]
    Hrithik Manikandan
    |
    September 4, 2026
  • AI & Machine Learning, Computer Science, Computing, Data & AI
    Explainable Machine Learning for Alzheimer’s Classification Using Non-Invasive Health Data
    Abstract Alzheimer’s disease is a progressive neurodegenerative disorder that remains the leading cause of dementia and currently has no cure. Early detection is imperative to slow the disease’s onset, which remains challenging without widely accessible screening technologies. Machine learning offers a promising approach to classifying Alzheimer’s disease using patterns in cognitive, functional, behavioral, medical, and […]
    Riya Srikumar
    |
    September 4, 2026
  • Materials Science, Physical Sciences
    Application of a Novel Multi-Principal Element Alloys for Solid-State Hydrogen Storage Enabling Room-Temperature Activation
    Abstract Hydrogen energy is interesting as a clean fuel for the future, while it also concerns regarding its safety problem being raised. Generally, gas hydrogen always keeps expensive high-pressure tanks, has a low energy density, and is able to potentially explosion situation. Liquid hydrogen also has a low safety and high cost to transport and […]
    Eugene Ahn
    |
    September 4, 2026
  • Biology, Life Sciences
    Identifying Selective Fibroblast Stress in Alopecia Areata Through Single-Cell Transcriptomics
    Abstract Alopecia areata is the most common subset of the broader alopecia tree, where autoimmune attacks on hair follicles create patchy bald spots. Previous literature, collected from Google Scholar, has confirmed that alopecia areata remolds the scalp environment, but there is little on the specific cellular mechanisms that enable it. In this report, we aim […]
    Atul Bhat, Revathi P. Shenoy
    |
    September 4, 2026
  • 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

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 ›

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