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 ›

  • Social Sciences, Humanities & Policy, Urban Planning
    Investigating the Significance of Socioeconomic and Built Environment Variables on Commuting Mode in the Delaware Valley Region
    Abstract How people commute, whether they drive or bike to work, shapes local environmental, health, and land-use outcomes, yet few studies have holistically examined commuting mode in the Delaware Valley Region—otherwise known as Greater Philadelphia. This study used multinomial logistic regression to determine which socioeconomic and built environment variables significantly influenced the commuting mode of […]
    Ryan Wen
    |
    August 17, 2026
  • Biology, Genetics, Life Sciences
    A Review of Targeted Genome-Editing Approaches for Identifying and Correcting Breast Cancer-Associated Genes
    Abstract Breast cancer develops from mutations that disrupt normal breast tissue cells, yet the specific mutations that drive tumor initiation and progression remain only partially understood. Though a variety of environmental factors play a role in breast cancer occurrence, genetics has been shown to play an important role in many breast cancer cases. Thus, researchers […]
    Irene Pang
    |
    August 16, 2026
  • Physical Sciences, Physics
    Characterizing Multipartite Entanglement in GHZ and W States Using Entropy, Concurrence, and Monogamy
    Abstract This paper analyzes entanglement measures for tripartite systems of GHZ and W states. Von Neumann entropy quantifies the entanglement between subsystems. Concurrence quantifies pairwise entanglement in two-qubit reduced states. Monogamy characterizes how entanglement is distributed across the system. This expository analysis illustrates that, for the two ideal, symmetric three-qubit states considered here, no single […]
    Yuta Watanabe
    |
    August 16, 2026
  • Health Sciences, Life Sciences, Neuroscience
    Effects Of Different Intensities of Short-Term Exercise Based on Percentage of Maximum Heart Rate on The Cognitive Conflict Test And Mood Scales Results Of Teenagers 
    Abstract  While the positive effect of exercise on health is widely accepted, little is known about the cognitive and emotional changes that occur immediately after short-term exercise among adolescents. Many research conducted on the topic is unclear about the methodologies used. This study aims to examine the effect of four levels of short-term exercise intensity […]
    Yi Gao, Liu Jasper Pinchun, Haosen Liu, Guorui Yang
    |
    August 16, 2026
  • Biology, Life Sciences
    CRISPR’s Role in the Treatment of Genetic Disorders
    Abstract This review examines CRISPR/Cas9’s utility as a novel gene-editing technology and its clinical application to the BRCA1 mutation, CPS1 deficiency and sickle cell disease to demonstrate the diverse stages of clinical translation and development represented by CRISPR/Cas9 gene editing, from experimental research, to personalized treatment, to FDA-approved gene therapies. CRISPR/Cas9 technology has the potential […]
    Iris Pang
    |
    August 16, 2026

Life Sciences ›

Health Sciences ›

  • AI & Machine Learning, Computing, Data & AI, Data Science, Health Sciences, Sports Science
    A PCA-Based Framework for Injury Risk Profiling Using Basketball Training and Biomechanical Datasets
    Abstract Athlete monitoring for injury surveillance in basketball generates a large amount of data pertaining to player health and training. A number of collected variables may be correlated, which makes injury risk analysis challenging. In this study, a Principal Component Analysis (PCA) based framework was developed for injury risk profiling and evaluated using three publicly […]
    Sidhant Paruchuri
    |
    August 10, 2026

Physical Sciences ›

Computing, Data & AI ›

  • AI & Machine Learning, Computing, Data & AI, Earth & Environment, Sustainability
    Environmental Suitability Modeling for Solar Installations Using Convolutional Neural Networks
    Abstract As technology has increased, energy demand has also increased. Conventional methods of producing energy also produce harmful byproducts that damage the environment. Due to this issue, people have turned to renewable energy sources like solar power as an alternative. However, few consider the environmental impact of these solar panels. Most studies evaluate the production […]
    Aria Mitra
    |
    August 12, 2026

Engineering ›

  • Aerospace Engineering, Engineering
    Comparative Performance Analysis of Hollow and Annular Combustors in Rotating Detonation Engines
    Abstract Rotating detonation engines (RDEs) have emerged as a promising propulsion technology, offering superior thermodynamic efficiency over conventional Brayton-cycle engines due to their utilization of detonation combustion. Annular combustors (with inner and outer walls) are typically used in RDEs. However, hollow—lacking an inner wall—combustors are emerging as a promising alternative due to their potential mitigation […]
    Sidh Pandya
    |
    February 4, 2026

Earth & Environment ›

  • AI & Machine Learning, Computing, Data & AI, Earth & Environment, Sustainability
    Environmental Suitability Modeling for Solar Installations Using Convolutional Neural Networks
    Abstract As technology has increased, energy demand has also increased. Conventional methods of producing energy also produce harmful byproducts that damage the environment. Due to this issue, people have turned to renewable energy sources like solar power as an alternative. However, few consider the environmental impact of these solar panels. Most studies evaluate the production […]
    Aria Mitra
    |
    August 12, 2026

Mathematics & Statistics ›

  • Mathematics, Mathematics & Statistics
    Numerical Exploration of HOBO vs. QUBO: Using Sudoku as a Benchmark
    Abstract Sudoku, with its complex combinatorial structure, provides a natural NP-hard benchmark for testing optimization models. In this study, we quantitatively compare Quadratic Unconstrained Binary Optimization (QUBO) and Higher-Order Binary Optimization (HOBO). While QUBO is compatible with quantum computers, it is often evaluated on classical simulators known as quantum simulators which calculates with tensor network […]
    Naoaki Mochida
    |
    February 24, 2026

Social Sciences, Humanities & Policy ›

  • Economics, Social Sciences, Humanities & Policy
    Climate, Wealth, and the Share of Roads that Are Bike Lanes Across Cities
    Abstract This paper explores how local climate is related to the creation of urban cycling systems. We examine an international sample of cities to establish whether such elements as temperature and precipitation are related to the degree of committed bike infrastructure. With the help of OpenStreetMap data, in the form of the OSMnx, and climate […]
    Meha Agrawal
    |
    July 16, 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