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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 ›

  • Biology, Life Sciences
    A Comparative Review of Emerging Immunological Targeted Acne Therapeutics versus Endocrine Targeted Acne Therapeutics
    Abstract Acne vulgaris, or acne, is a common skin disease that affects regions of the body with a high concentration of pilosebaceous units (face, neck, shoulders, back, chest). Even though the cause of acne is often oversimplified to “clogged pores”, the disease is caused by a mix of excessive sebum production, overpopulation of Cutibacterium acnes […]
    Leah Pierce
    |
    October 11, 2026
  • Mathematics, Mathematics & Statistics
    Quantifying Sensitivity to Vote Flips in Two-Candidate Popular Voting via Empirical and Combinatorial Analysis
    Abstract This study investigates the sensitivity of popular vote outcomes to random vote flips, aiming to quantify the probability that an election result changes when a fixed number of votes are flipped at random. We hypothesized that there exists an exact combinatorial formula that can be used to calculate this probability. To test this, we […]
    Girish Prasad
    |
    October 11, 2026
  • Life Sciences, Neuroscience
    Disrupting the Clock: The Detrimental Effects of Blue Light on the Human Circadian Rhythm
    Abstract In recent years, the widespread use of digital devices has been associated with increased exposure to bluelight among adolescents, particularly during evening and nighttime hours. During the digital age, adolescents have been experiencing frequent exposure to artificial blue light as a result of increased use of electronic devices such as smartphones, tablets, and computers. […]
    Natalie Nguyen, Paula Bender
    |
    October 11, 2026
  • Health Sciences, Life Sciences, Neuroscience, Sports Science
    Neurochemical Effects on Athletic Performance and Mental Blocks
    Abstract Neurochemical balance plays a critical role in optimizing athletic performance, yet its underlying mechanisms are often overlooked in sports science as greater emphasis is placed on physiological factors. This paper summarizes current research on how disruptions in brain chemistry may contribute to declines in both physical and cognitive performance among athletes. The main findings […]
    Mia Lyngberg
    |
    October 11, 2026
  • AI & Machine Learning, Computing, Data & AI, Data Science
    Self-Supervised DINOv2 Versus Supervised CNNs for Insurance Claim Cost Prediction
    Abstract Insurance companies handle millions of vehicle damage claims each year, creating a need for faster and more consistent ways to estimate repair costs. This study investigates whether insurance claim amounts can be predicted using only images of damaged cars. Three deep learning models were tested: ResNet152V2, ResNeXt50, and a self-supervised Vision Transformer called DINOv2 […]
    Rohan Vasal, Ivan Felipe Rodriguez
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    October 11, 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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