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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
    |
    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
  • AI & Machine Learning, Biology, Computing, Data & AI, Life Sciences
    Limited Target Data Calibration Improves Cross-Dataset Transfer for Parkinson’s Disease Detection from Speech
    Abstract Automated detection of Parkinson’s Disease (PD) from speech presents a low-cost, non-invasive screening tool, but its reliability across languages and recording conditions is uncertain. This study evaluated whether speech-based PD detection could transfer across diverse datasets that differ in language, recording conditions, and tasks under limited exposure to the target dataset. We investigated model […]
    Yash N. Ganatra
    |
    May 15, 2026

Most Discussed ›

NHSJS Reports ›

  • Environmental Science
    Daily Flood-Risk Prediction in Dadu District, Pakistan: A Random Forest Pilot with Open Satellite and Weather Data
    Abstract Flooding is an ongoing problem in Pakistan in terms of safety and development particularly in the rural areas with a deficiency of warning infrastructure. This paper explores the potential of using the above open satellite and weather data to serve as input to a rudimentary daily flood-risk model for Dadu district in Sindh, which […]
    Zain Ali Khan
    |
    August 6, 2026
  • Computer Science
    Animation and Human-Computer Interaction: A Systematic Review of Applications, Challenges, and Research Opportunities
    Abstract Animation and human-computer interaction (HCI) are being used in many interactive technologies, such as VR / AR, gesture interaction, etc. However, there is still a lack of systematic synthesis on their mechanisms, impacts and challenges. To fill this gap, this paper conducts a systematic literature review. In terms of HCI, our review shows that […]
    Yiyang Liu
    |
    August 6, 2026
  • A Transformer-Based Approach with Focal Loss for Improved Off-Target Detection in CRISPR-Cas9 Systems
    Abstract Genetic disorders affect over 350 million people worldwide, yet effective curative treatments remain limited. CRISPR/Cas9 gene editing offers a promising pathway to correct harmful mutations, but its clinical safety is constrained by off-target edits, which are unintended genomic cuts that can lead to serious biological consequences. Thus, these off-target edits need to be monitored […]
    Ishaan Nirmal
    |
    August 5, 2026
  • Towards a Mechanistic Understanding of Neural Circuit Basis of Behavior 
    Abstract For decades, researchers have investigated how animal brains are able to learn and retain memories. However, both the technologies for research and the specimens researched vary. For example, different types of electron microscopes, fluorescent tags, and genetic lines that target neurons were used; and brains from different species in different portions and stages of […]
    Mingze Shi
    |
    August 5, 2026
  • Optimal Graft Selection in CABG: Comparative Outcomes of Radial-Artery and Saphenous Vein Grafts
    Abstract Coronary artery bypass grafting (CABG) is a widely utilized surgical procedure that treats advanced coronary artery disease, restoring coronary perfusion by using healthy conduit vessels to create an alternative route for blood flow around blocked arteries. The choice of graft in CABG significantly determines the long-term outcomes of the operation, as graft failure majorly […]
    Sajidah Mustafa AlSaihati
    |
    August 4, 2026

Life Sciences ›

  • 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

Health Sciences ›

  • Health Sciences, Public Health
    A Queueing Theory and Behavioral Analysis of Pre-Performance Stress in Marching Band Competitions
    Abstract  Marching band competitions require members to perform under pressure after long periods of time waiting before they start the first note of their performance. This study examines the competitive environment of marching band performance and its effects on performers’ emotional states. In particular, the waiting process before performance may influence how nervous, excited, or […]
    Jimin Choi
    |
    July 21, 2026

Physical Sciences ›

Computing, Data & AI ›

  • 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

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 ›

  • Earth & Environment, Environmental Science
    Global Classification of Ocean Microplastic Concentration Levels Using Machine Learning with Geo-Embeddings
    Abstract Microplastics are a global environmental concern with widespread impacts on marine ecosystems. Predicting oceanic microplastic concentration remains underexplored, as most machine-learning approaches focus on regional settings and rely on features not consistently available worldwide. We propose a global framework that uses universally available spatial inputs (latitude, longitude, ocean, month) augmented with 256-dimensional satellite-derived geo-embeddings. […]
    Ashwath Narayanan
    |
    July 13, 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

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