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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 ›

  • Computing, Data & AI, Data Science
    Using Machine Learning to Classify 2020 U.S. Presidential Vote Choice from Demographic Characteristics
    Abstract  Presidential elections are heavily influenced by a combination of demographic, socioeconomic, and political factors. Recent developments in machine learning provide new opportunities to study whether or not demographic factors can be used to effectively classify individual voting behaviors that go beyond traditional approaches. This study compares Logistic Regression and Neural Network classifiers, using data […]
    Cristina Jin
    |
    October 17, 2026
  • Health Sciences, Sports Science
    The Bernabeu Effect: Stadium Renovation, Revenue Diversification, and the Decoupling of Financial Performance from Sporting Results at Real Madrid
    Abstract Background/Objective: After the phased renovation of the Santiago Bernabeu that began in 2019 the revenue patterns of Real Madrid seem to have changed. This paper looks at whether these changes are a sign of a fundamental shift in the financial model of Real Madrid or whether they can be better explained by other things […]
    Vyan Aggarwal
    |
    October 17, 2026
  • Management, Social Sciences, Humanities & Policy
    Optimising the Drug Supply Chain Using Blockchain
    Abstract Falsified medicines kill patients who believe they are being treated. In low- and middle-income countries, the World Health Organization puts the share of substandard or falsified medical products at about one in ten. An antibiotic with too little active ingredient doesn’t clear the infection that it was prescribed for. Track-and-trace still depends on paper […]
    Siddesh Jayaraman
    |
    October 16, 2026
  • Health Sciences, Medicine
    The Effect of Voiding Position on Urination Parameters: A Preliminary, Fixed-Order Uroflowmetric Comparison of Sitting and Standing in Healthy Men
    Abstract Lower urinary tract symptoms (LUTS) affect millions of aging men worldwide. Voiding position is a modifiable behavioral factor that may influence urinary flow parameters. However, its effects remain poorly characterized due to conflicting prior studies. This study used uroflowmetry to compare urination parameters between sitting and standing positions in fifteen healthy men aged 16-20, […]
    Brian Kim
    |
    October 16, 2026
  • Engineering, Mechanical Engineering
    Thermal Efficiency of Ammonia-Diesel Dual Fuel Engines: An Experimental Investigation
    Abstract Due to the ongoing depletion of fossil fuels and the mounting interest in minimizing greenhouse gas emissions, studies on alternative fuels for internal combustion engines have received significant attention. Ammonia has emerged as a candidate because it is carbon-free, has a high energy density per volume, and has an established infrastructure for production and […]
    Advik Basaiwala
    |
    October 16, 2026

Life Sciences ›

  • Biochemistry, Life Sciences
    Colorimetric Assay of Commercial Lactase Solution Under Different Storage and Solution Conditions
    Abstract Protein stability depends on storage temperature, solution composition, and concentration. This study tested how a 25 mg/mL solution prepared with commercial β-galactosidase (lactase) powder preserved its activity after a short room-temperature exposure and whether glycerol, a common protein stabilizer, helped retain activity under the same temperature treatment. Each of the three independently prepared blocks […]
    Tonny Chen
    |
    September 30, 2026

Health Sciences ›

  • Health Sciences, Public Health
    Independent and Joint Associations of Asthma and Obesity with Severe COVID-19 Outcomes in U.S. Adults
    Abstract Asthma and obesity have each been associated with adverse COVID-19 outcomes, yet evidence regarding their combined effects remains limited. Using nationally representative data from a cross-sectional survey, the National Health Interview Survey (NHIS), this study examined whether obesity modifies COVID-19 risk among adults with asthma. Sample Adult data from 2020, 2021, and 2022 were […]
    Kristine S Lee
    |
    October 17, 2026

Physical Sciences ›

  • Physical Sciences, Physics
    Bohmian Diagnostics of Wave-Packet Structure and Classical Emergence
    Abstract Bohmian mechanics provides an alternate interpretation of quantum mechanics, where particles have definite trajectories, allowing us to study the correspondence principle. Correspondence is usually framed in terms of n, but it does not consider the superpositions built on the basis. This study examines two families: Gaussian packets (family A) with width  σ = 2n […]
    Arunabh Pratik, Elliott Tammaro
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    October 14, 2026

Computing, Data & AI ›

  • AI & Machine Learning, Computer Science, Computing, Data & AI
    Object-Aware Image Reconstruction: Comparative Strategies for Selective Enhancement in Latent Diffusion Models
    Abstract We propose a method to use Latent Diffusion Models (LDMs) for selective, object-aware image reconstruction. This method combines VAE encoding and decoding with Faster R-CNN automatic object detection and SAM segmentation. We compare four reconstruction strategies: Decoded Object Deconstruction with Fade Mask Blending (DOD-FADE) and Decoded Object Deconstruction with Segment Anything Model (DOD-SAM) operate […]
    Oliver Tong
    |
    October 17, 2026

Engineering ›

  • Aerospace Engineering, Engineering
    Improving Single-Engine Aircraft Safety Through Evolutionary Neural Networks
    Abstract Engine failure in a single-engine aircraft removes all thrust and leaves the pilot with one option: glide as far as possible while looking for a place to land. Standard practice is to hold a fixed best-glide speed taken from the aircraft handbook, but holding a constant target by hand is difficult, and earlier work […]
    Arkar Tan
    |
    October 8, 2026

Earth & Environment ›

Mathematics & Statistics ›

Social Sciences, Humanities & Policy ›

  • AI & Machine Learning, Computing, Data & AI, Finance, Social Sciences, Humanities & Policy
    Improving the Performance of Long-Term Stock Investments with a Two-Stage LLM Filtering Framework
    Abstract Large language models are increasingly being used in creating investment strategies. However, most studies that create a pipeline, feed news and financial reports in a single prompt to the LLMs. This can reduce relevant signals. To address this limitation, we developed a two-stage filtering framework which uses news articles to select a candidate stock […]
    Jathin Battepati, Rohan Fernandes, Aaryan Parikh, Sahasra Chappidi, Sanil Nirmale, Simran Bhasin, Rohan Sugate, Huifang Qin
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    October 12, 2026

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