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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
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    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 ›

  • Biomedical Engineering, Engineering
    The Current State of Upper-Extremity Neuroprosthetics: A Narrative Review
    Abstract Prostheses for the upper extremity are intended to restore function and improve the quality of life, but 20 to 30% of users eventually give up on them, particularly those who use advanced myoelectric devices. A major factor in this is the lack of intuitive sensory feedback, since this can damage the sense of embodiment […]
    Arjun Jagadeesan
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    October 10, 2026
  • Health Sciences, Psychology, Public Health
    From Harm to Healing: The Association Between Social Media Content and Adolescents’ Recovery from Anorexia Nervosa
    Abstract Anorexia nervosa is a serious illness that lowers the quality of life and has a high mortality rate. As the prevalence of anorexia nervosa and social media use increases, the central question of this research was to examine the correlation between social media content, particularly content that falls into the categories of pro-recovery and […]
    Amy Gu, Nathalie Gullo
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    October 10, 2026
  • Biology, Life Sciences
    De Novo Oogenesis In Adult Mammals: A Critical Review of Evidence for Postnatal Oocyte Regeneration
    Abstract Background/Objective: For decades, reproductive medicine was governed by the Zuckerman dogma: adult female mammals possess a prenatal, finite, decreasing oocyte reserve. The theory of de novo oogenesis directly contradicts this dogma, claiming that oocyte regeneration persists postnatally through germline stem cells (GSCs), with significant implications for infertility treatment and ovarian aging. An estimated 17.5% […]
    Michaela Sesilia Passa
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    October 9, 2026
  • AI & Machine Learning, Computing, Data & AI
    Artificial Intelligence in Music Classrooms: PK-12 Educators’ Practices, Concerns, and Confidence
    Abstract In this descriptive survey study, we explore PK-12 music educators’ perceptions of AI, their current practices, confidence, concerns, and the types of support they need to utilize AI within their music programs. Fifty-four music educators from elementary, middle, and high school settings in Indiana completed an online survey. Quantitative survey responses such as demographic […]
    Hawon Song, Rachel Louise Geesa
    |
    October 9, 2026
  • Astronomy & Astrophysics, Physical Sciences
    Can Synthetic Spectra Be Used to Predict Prebiotic Chemical Equilibria of Exoplanets in the Era of JWST? Modelling the Atmosphere of TOI-700 d to Determine the Habitability of This System
    Abstract TOI-700 d is an Earth-sized exoplanet located within the habitable zone of an M-dwarf star, with physical and orbital parameters suggesting the possibility of temperate surface conditions. This study investigates plausible atmospheric compositions, including Earth-like N₂/O₂ mixtures and CO₂-dominated scenarios, and analyses the chemical equilibria of key prebiotic molecules that may support the emergence […]
    Soham Majumder, Becca Spejcher
    |
    October 9, 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 ›

  • Computer Science, Computing, Data & AI
    First-Order Markov Pitch-Class Models for Blending Carnatic Raga and Western Chorale Melodies
    Abstract For decades, algorithmic music generation has been a significant focus of research in computing. However, many of the leading methods now depend heavily on deep neural networks, which can be hard to understand and often show clear biases towards Western music. In contrast, first-order Markov transition matrices present a clear, rule-based alternative that allows […]
    Saanvi Raghavendran
    |
    October 10, 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 ›

  • Social Sciences, Social Sciences, Humanities & Policy
    Unequal Punishments: The Effects of Family Characteristics and Ethnicity on Student Suspension
    Abstract Does a high school student’s family characteristics and ethnicity affect their rate of suspension? Racial disparities in suspension rates are well documented and two conflicting explanations are prevalent in previous literature. The first attributes the gap to differences in socioeconomic status and a student’s situation. The other suggests that institutional factors cause this disparity. […]
    Akash Gusani
    |
    October 1, 2026

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