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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
    |
    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 ›

  • Chemistry, Materials Science, Physical Sciences
    Squid Cartilage-Derived Carbon Quantum Dots for Selective Fluorescence Sensing of Hexavalent Chromium in Water
    Abstract The detection of hexavalent chromium (Cr(VI)) in water remains a significant analytical challenge due to its high toxicity, widespread industrial origin and high solubility, which facilitates rapid dispersion in aquatic systems. In the present study, carbon quantum dots (CQDs) were synthesized through a hydrothermal process using squid cartilage derived from Uroteuthis duvaucelii. The SC-CQDs […]
    Abhinav Sobti
    |
    November 10, 2026
  • Policy, Social Sciences, Humanities & Policy
    PFAS Legislation in Massachusetts: A Comparative Policy Analysis
    Abstract Background and objective: PFAS in public drinking water and firefighter gear are regulated in Massachusetts. There is less protection in place for other exposures. I reviewed regulations put into place by selected jurisdictions and identified recommendations to strengthen pending PFAS bills. Methods: I analyzed five U.S. states, the EU, Canada and Japan across five […]
    Sahana Chaubal
    |
    November 10, 2026
  • Biomedical Engineering, Engineering, Life Sciences, Neuroscience
    Simulation-Based Comparison of Sequential Optimization Methods for Personalized taVNS Parameter Selection
    Abstract       Transcutaneous auricular vagal nerve stimulation (taVNS) is a cutting-edge form of neuromodulation that could provide more equitable access to vagal nerve stimulation for lower-income households or people at high risk of surgical complications. Optimizing taVNS parameters, such as amplitude and frequency, is difficult due to each person’s unique physiology, however. Applying machine learning to […]
    Johnathan Ding
    |
    November 10, 2026
  • Social Sciences, Social Sciences, Humanities & Policy
    A Statistical Analysis of English Lyrics Use in K-Pop (Melon Top 100, 2000–2023)
    Abstract We analyze 25,876 chart-month entries from the Melon Monthly Top 100 (2000–2023), covering 8,115 unique songs, to quantify the use of English in K-pop lyrics. Percent English is measured at the token level using a transparent multi-script classifier that distinguishes Korean, English, Japanese, Chinese/Han, romanized Korean, and other Latin-script tokens. Korean and English together […]
    Simone Bal
    |
    November 9, 2026
  • Materials Science, Physical Sciences
    Failure Analysis of Smartphone LCD Panels Under Concentrated Solar Radiation from Consumer VR Lenses
    Abstract VR enclosures like the Google Cardboard viewer, pair magnifying lenses with a smartphone display. When users leave the lenses facing the sun accidentally, the sunlight is focused into a hotspot on the display and causes damage. No directly comparable peer-reviewed study was identified in the literature reviewed that characterizes the layer-by-layer thermal failure sequence […]
    Jeffrey Jiang
    |
    November 9, 2026

Life Sciences ›

  • Bioinformatics, Biology, Life Sciences
    Computational Screening of Indian Phytochemicals as Candidate Efflux-Pump Inhibitors of Salmonella AcrB
    Abstract The AcrB efflux pump in Salmonella Typhimurium is a major mechanism in the development of drug resistance. The purpose of the study is to screen drug-like Indian phytochemicals from the IMPPAT 2.0 database against the AcrB protein, benchmarked against the known inhibitors of PAβN and NMP. Molecular docking (Vina), machine learning (RDKit descriptors, random […]
    Pranoy Mathur
    |
    November 3, 2026

Health Sciences ›

  • Health Sciences, Public Health
    Predicting Antimicrobial Resistance Without Local Data: Cross-Country Transfer to Kazakhstan
    Abstract Background. Machine learning models predict antimicrobial resistance (AMR) well in high-income countries but do not work in locations where there is no local surveillance. Despite uncontested evidence that AMR contributed to the deaths of over 1.14 million individuals in 2021, there are no adequate isolate-level data to inform empirical treatment in countries like Kazakhstan. […]
    Uais Amangeldi, Dinmukhammed Amantay
    |
    November 9, 2026

Physical Sciences ›

  • Chemistry, Physical Sciences
    Optimized Pathway for Designing Small Molecules with a Hybrid Quantum-Classical Generative Adversarial Network
    Abstract   The modern process of drug discovery requires large financial investment and time, which is why researchers are utilizing new computational chemistry methods like machine learning to accelerate molecular synthesis. Alzheimer’s disease is a neurodegenerative disease associated with the aggregation of many proteins, including Butyrylcholinesterase (BChE). The treatment of its symptoms requires molecules that can […]
    Leena Adwankar, Nitya Pisolkar, Meera Minocha, Vamika Tawari, Akhil Muthyala, Sakshi Buregoni, Victoria Ho, Larry McMahan
    |
    November 7, 2026

Computing, Data & AI ›

  • AI & Machine Learning, Computing, Data & AI, Finance, Social Sciences, Humanities & Policy
    A Hybrid Quantum-Modified Neural Network for S&P 500 Stock Volatility Forecast
    Abstract As one of the most widely followed stock indices, the S&P 500 index contains 500 of the largest publicly traded firms in the United States. Its value can experience substantial fluctuations over time. These movements are commonly quantified by stock volatility, which measures the speed and magnitude of changes in stock prices. For investors […]
    Peikang Hu
    |
    November 7, 2026

Engineering ›

  • Engineering, Mechanical Engineering
    Design and Preliminary Testing of a Drone-Mounted Water Delivery Prototype for Individual Plants
    Abstract Hand-watering in a UAE school garden is slow, and the water every plant gets is estimated by eye. This study investigates whether a small quadcopter can be equipped with a removable water-delivery payload and its pump switched by a soil-moisture reading taken at the target plant. A small 3D-printed reservoir, a 12 V pump, […]
    Antony Sheshenya
    |
    November 3, 2026

Earth & Environment ›

Mathematics & Statistics ›

Social Sciences, Humanities & Policy ›

  • AI & Machine Learning, Computing, Data & AI, Finance, Social Sciences, Humanities & Policy
    A Hybrid Quantum-Modified Neural Network for S&P 500 Stock Volatility Forecast
    Abstract As one of the most widely followed stock indices, the S&P 500 index contains 500 of the largest publicly traded firms in the United States. Its value can experience substantial fluctuations over time. These movements are commonly quantified by stock volatility, which measures the speed and magnitude of changes in stock prices. For investors […]
    Peikang Hu
    |
    November 7, 2026

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