back to top
  • 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
    |
    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 ›

  • Economics, Finance, Social Sciences, Humanities & Policy
    What Drives Small Business Lending Under the CRA in New York Urban Hubs?
    Abstract In summer 2025, a local New York Community Reinvestment Act (CRA) organization and a group of lenders asked our team to survey 406 small business (with 100 or fewer employees) in the most populous counties in New York. In keeping with the spirit of the CRA, our study looked at credit availability for diverse […]
    Daleena Wong, Sharlene Wong
    |
    October 21, 2026
  • Health Sciences, Public Health
    The Expansion of Over-the-Counter Medication and Evolving Adolescent Perceptions
    Abstract With the recent expansion of over-the-counter (OTC) medication provided through prescription-to-OTC switches, many consumers within America are sharing various views on this expansion. Some consumers argue that the expansion of OTC medication will have benefits through accessibility and decreased cost, whereas some consumers argue that this will endanger society through drug abuse and the […]
    Calvin Jung
    |
    October 21, 2026
  • AI & Machine Learning, Computing, Data & AI, Health Sciences, Psychology
    Evaluating Inter-Model Agreement in Depression Risk Classification Using Large Language Models
    Abstract As artificial intelligence becomes more integrated into our lives, their ability to detect mental health patterns presents both opportunities and challenges. One possible frontier may be in early identification of mental health struggles. With how accessible it is, people express themselves more online, so social media can provide large amounts of data that may […]
    Sreshta Namala
    |
    October 21, 2026
  • Earth & Environment, Environmental Science
    How Suitable are Spent Coffee Grounds for Heavy Metal Remediation in Water and Soil: A Systematic Review of Mechanisms, Conditions, and Practical Viability
    Abstract  Heavy metal contamination of soil and water threatens food and drinking water safety while spent coffee grounds (SCG) are discarded worldwide in huge quantities. This literature review aims to cover current research on how  SCG can be  highly effective at removing heavy metals such as Pb²⁺,Cd²⁺, Cu²⁺,and Zn²⁺ through ion exchange chelation and surface […]
    Abdallah El Dessouky
    |
    October 21, 2026
  • Computer Science, Computing, Data & AI, Mathematics, Mathematics & Statistics
    Finding the Optimal Neural Network Architecture for the Efficient Prediction of Cycle Structure in Generated Swap Permutations
    Abstract This paper investigates whether Artificial Intelligence (AI) can predict whether a sequence of swaps applied to a finite set produces a complete cycle, defined as a permutation whose disjoint cycle decomposition consists of a single $n$-cycle. The task is useful for testing whether neural networks can learn combinatorial structure from permutation-based sequence data. The […]
    Meha Agrawal, Ishi Agrawal
    |
    October 20, 2026

Life Sciences ›

  • Bioinformatics, Life Sciences
    Exploring the Transcriptomic Associations Between TERT and Stemness-Related Pathways in Glioblastoma
    Abstract Glioblastoma (GBM), the most aggressive brain malignancy in adults, characterized by heterogeneity, which contributes to poor prognosis and therapy resistance. The heterogeneity of GBM tumors is evident in unique gene expression profiles. Among the biological factors contributing to heterogeneity, cellular stemness plays a pivotal role in tumor recurrence and therapy refractoriness. Consequently, stemness has […]
    Arissa Zhong
    |
    October 19, 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
    |
    October 14, 2026

Computing, Data & AI ›

  • AI & Machine Learning, Biomedical Engineering, Computing, Data & AI, Engineering
    Deep Learning Biomedical Application: Finger Movement Recognition Through Time Series Classification of Electromyographic Signals
    Abstract Electromyographic (EMG) signal classification is vital but remains challenging for advanced prosthetics and medical diagnostics, especially when the number of movement classes increases. While the field favors convolutional neural networks (CNNs), they require more computational resources than small prosthetic devices can handle. Thus, we compared CNNs with simpler feedforward neural networks (FFNNs) to explore […]
    Nana Fukushima
    |
    October 21, 2026

Engineering ›

  • AI & Machine Learning, Biomedical Engineering, Computing, Data & AI, Engineering
    Deep Learning Biomedical Application: Finger Movement Recognition Through Time Series Classification of Electromyographic Signals
    Abstract Electromyographic (EMG) signal classification is vital but remains challenging for advanced prosthetics and medical diagnostics, especially when the number of movement classes increases. While the field favors convolutional neural networks (CNNs), they require more computational resources than small prosthetic devices can handle. Thus, we compared CNNs with simpler feedforward neural networks (FFNNs) to explore […]
    Nana Fukushima
    |
    October 21, 2026

Earth & Environment ›

Mathematics & Statistics ›

Social Sciences, Humanities & Policy ›

  • Social Sciences, Social Sciences, Humanities & Policy
    Economic Barriers to Family Formation and Demographic Trends in Smolensk Oblast: A Pilot Survey of High-School Students
    Abstract The Smolensk Oblast faces persistent demographic decline, with birth rates falling from 10.6‰ in 2015 to 5.8‰ in 2023 and sustained youth out-migration to more developed regions. Despite federal and regional family support programs, these trends continue. This pilot study explores whether economic barriers (income and housing) are perceived as more significant obstacles to […]
    Egor Udra, Artem Sekachev
    |
    October 18, 2026

Share Your Research

NHSJS publishes original research by high school students across all scientific disciplines. Our peer-review process provides valuable feedback and mentorship from experts in the field.

Submit a Manuscript