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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
    Impact of Generative AI in Music Production and the Distribution of Success
    Abstract In this research, I explore whether genres with higher AI compatibility have different production and success patterns in the music industry. AI tools became more widely available in the music industry around 2020, and scholars have raised questions about whether AI tools improve music production quality, increase diversity, and raise the likelihood of producing […]
    Felix Xu
    |
    September 29, 2026
  • AI & Machine Learning, Computing, Data & AI, Policy, Social Sciences, Humanities & Policy
    A Review of Machine Learning Applications in Evaluating Carbon Policy
    Abstract This literature review focuses on the application of machine learning (ML) methods for evaluating carbon emissions and the effectiveness of climate policies. As decarbonization efforts become increasingly urgent, the role of computational tools such as ML methods becomes increasingly significant. By drawing from 15 recent empirical and modeling studies, this literature review aims to […]
    Ethan Kim
    |
    September 29, 2026
  • AI & Machine Learning, Computing, Data & AI
    Comparative Study of Traditional Machine Learning and Deep Learning with LLMs for Sleep Staging with Time Series
    Abstract Automated sleep staging from polysomnographic signals is essential for diagnosing sleep disorders, yet the potential of large language models (LLMs) for this task remains underexplored. This study benchmarks traditional deep learning architectures (RNN, LSTM, GRU, Transformer) against zero-shot LLM approaches (GPT for Time Series, GPT-Neo) for EMG-based sleep stage classification using a public dataset […]
    Rushil Baindla
    |
    September 29, 2026
  • Chemistry, Physical Sciences
    Beyond Platinum: Evaluating Alternative Transition Metals as Catalysts for the Hydrogen Evolution Reaction
    Abstract The pressing need to combat climate change drives the search for cleaner energy sources such as hydrogen. Hydrogen gas produced via the Hydrogen Evolution Reaction (HER) often uses platinum as a catalyst. While effective, platinum’s high cost and supply risks make it unsustainable. This study uses Density Functional Theory (DFT) calculations to evaluate hydrogen […]
    Sidney Hsiao
    |
    September 28, 2026
  • Health Sciences, Public Health
    Global Trends, Geographic Variation, and Sex and Age Disparities in Colorectal Cancer Burden, 2013-2023: A Descriptive Analysis of the GBD 2023 Study
    Abstract Background: Colorectal cancer remains a major public health concern worldwide.CRC epidemiology is influenced by regional variation in resource availability, advancing age, and sex predominance.Our study aimed to analyze the global burden of CRC and its regional variations from 2013 to 2023 using the GBD 2023 study.Methods: A descriptive ecological study was conducted.We used data published […]
    Asena Safai
    |
    September 27, 2026

Life Sciences ›

  • Bioinformatics, Life Sciences
    Deterministic Verification of Audit Outputs for Downstream Metabolomics Result Tables on a Frozen Synthetic Benchmark
    Abstract Background/Objective: A metabolomics study normally ends in a result table: one row per compound with an effect estimate, raw and adjusted probability values, and identification evidence. These tables circulate as spreadsheets and delimited text whose column names their authors choose, so computational review must infer the schema. We asked whether a deterministic audit program […]
    Aryav Thakur, Jaxon Munson, Sanjoy Bhattacharya
    |
    September 25, 2026

Health Sciences ›

Physical Sciences ›

Computing, Data & AI ›

  • AI & Machine Learning, Computer Science, Computing, Data & AI
    Representing Cinematic Style with Neural Style Transfer: A Case Study of Films by Wes Anderson and Tim Burton
    Abstract This paper investigated how Neural Style Transfer (NST) can be adapted to render images in cinematic styles, focusing on lighting and color distribution featured in movies by Wes Anderson and Tim Burton. Cinematic style lies between the domain of non-photorealistic and photorealistic rendering, as the live-action movie frames can feature both elements from real-life […]
    Thuy Duong Ngo
    |
    September 28, 2026

Engineering ›

  • Engineering, Mechanical Engineering
    Structural Optimization of Lightweight Electric Vehicle Spaceframe Chassis Under Variable Payload Distributions
    Abstract The rapid electrification of commercial urban logistics necessitates a transition from traditional internal combustion engine (ICE) chassis architectures to platforms optimized for high-density battery arrays and variable payload requirements. Many current electric delivery vehicles rely on modified ladder-frame structures originally designed for ICE vehicles, which may not be optimised for the dynamic and asymmetric […]
    Ashwin Swamy
    |
    September 27, 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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