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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
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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 ›

  • Bioinformatics, Life Sciences
    In Silico Identification of DYRK1A-Binding Lead Compounds Relevant to Alzheimer’s Disease
    Abstract Alzheimer’s disease is associated with amyloid-β deposition, tau pathology, neuroinflammation, and progressive cognitive decline. This study asked whether a predefined set of MolPort compounds could be prioritized as structural lead candidates for the kinase DYRK1A. A computational workflow combined DoGSiteScorer and PrankWeb pocket prediction, Pharmit pharmacophore screening, SwissDock docking with the Attracting Cavities engine, […]
    James Xu
    |
    October 15, 2026
  • AI & Machine Learning, Computing, Data & AI
    Stochastic Biomass Forecasting of Golden Tilefish Using the Deep Galerkin Method
    Abstract Accurate biomass forecasting is important for sustainable fisheries management where population dynamics are influenced by environmental variability. In this study, a biomass model is developed for Golden Tilefish (Lopholatilus chamaeleonticeps) using a stochastic Gompertz growth model with multiplicative environmental noise.  Biomass forecasts were generated through Monte Carlo simulation. The Deep Galerkin Method (DGM), a […]
    Aidan Lee
    |
    October 15, 2026
  • Health Sciences, Medicine, Public Health
    Application of Machine Learning to Distinguish IBS from Crohn’s Disease in Underdeveloped Regions
    Abstract Background and Aims: Crohn’s disease, a chronic inflammatory bowel disease (IBD), and Irritable Bowel Syndrome (IBS) share overlapping symptoms, and approximately 10-30% of patients later diagnosed with Crohn’s disease are initially misdiagnosed with IBS. The burden is greatest in low- and lower-middle-income countries (LLMICs), where diagnostic delay is roughly twice that of high-income settings. […]
    Varun Bhargav Kurra, Microbiome Cornell PHD Jennifer Otiono
    |
    October 15, 2026
  • Health Sciences, Nutrition & Dietetics
    Dairy Consumption and Acne Severity: A Cross-Sectional Pilot Study of Commercial Milk and Yogurt Products in a Thai Dermatology Clinic
    Abstract Background/Objective: Dairy intake has been associated with acne, but most evidence comes from Western populations and rarely distinguishes between specific commercial product types. This study examined milk and yogurt products reported by patients at a single Thai dermatology clinic and their association with acne severity using a clinician-assessed scale.Methods: A cross-sectional observational study was […]
    Withawin Woramongkholchai, Patara Voravutinon MD
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    October 15, 2026
  • AI & Machine Learning, Computing, Data & AI, Life Sciences, Neuroscience
    Investigating Frequency-Band Contributions and Temporal Data Leakage in EEG Eye-State Classification
    Abstract Electroencephalography (EEG) is widely used to classify eye states, and alpha-band activity (8-13 Hz) has traditionally been regarded as the dominant predictor because it peaks when the eyes are closed. However, it remains unclear whether alpha activity alone is sufficient, or whether information relevant to eye-state classification is distributed across the broader EEG spectrum. […]
    Gio Hwang, Sangyoon Bae
    |
    October 15, 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 ›

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 ›

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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