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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 ›

  • Health Sciences, Public Health
    The Relationship Between Increased Communication Difficulties and Rates of Hospice Admission.
    Abstract The rate of hospice enrollment for neurodegenerative diseases such as Alzheimer’s has typically been low. As Alzheimer’s and other dementia conditions progress, communication between patients and others becomes increasingly difficult, which complicates symptom management and care planning. This paper attempts to determine if there is any relationship between increased communication difficulty and the rate […]
    James Wilson, Luisa Fernandez Chirino
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    October 13, 2026
  • Biology, Life Sciences
    The Effect of Drug-Gene Interactions on Predictions of Drug Synergy Combinations
    Abstract Drug resistance in cancer can develop within 6–12 months of treatment. This challenge motivates the continued development of additional therapeutic strategies. Drug synergy, achieved through combining different drugs, offers a potential solution by amplifying therapeutic effects. Although advantageous, the identification of therapeutic combinations that will achieve drug synergy is largely limited by laboratory resources.  […]
    Aashika Pesaladinne
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    October 13, 2026
  • AI & Machine Learning, Computing, Data & AI
    AI Marine Sentinel: A Transparent Prototype for Integrating Vessel Traffic, Ocean Conditions, and Whale Evidence in Whale-Vessel Risk Prioritization
    Abstract Ships crossing paths in waters with key whale feeding, migration, and resting habitats cause collisions with these marine animals. The AI Marine Sentinel is a hypothesis generating, decision supporting prototype which has not yet been validated as a predictive model or an operational management tool against real-time whale sightings. The prototype incorporates several sources […]
    Hiro Kenehan
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    October 13, 2026
  • Health Sciences, Sports Science
    Swimming as a Low-Impact Modality for Pre- and Post-Surgical Rehabilitation: A Cross-Sectional Community Study of Pain and Musculoskeletal Outcomes
    Abstract Swimming is a low-impact exercise, so it is well suited for people who cannot tolerate high-impact activity. However, there is currently limited evidence to support its use as a structured rehabilitation method. This cross-sectional community study aimed to investigate this gap by examining whether frequent swimming is associated with lower self-reported musculoskeletal pain. To […]
    Ishaan Kumar
    |
    October 13, 2026
  • Earth & Environment, Environmental Science
    Offshore Wind Farm Effects on Marine Invertebrates
    Abstract Offshore wind farms (OWFs) offer several advantages over land-based turbines as a climate change intervention, including greater scale, access to more consistent wind, and reduced conflicts with other land-based infrastructure. Thus, they are among the most efficient forms of wind energy. However, OWFs affect marine animals, especially invertebrates that live on or in the […]
    Lee Marsh
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    October 13, 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 ›

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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