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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
    Exploring the Differences in the Genetic Underpinnings and Inheritance Patterns in JME and FAME for Improvement in Diagnostic Accuracy and Correct Treatment
    Abstract Juvenile Myoclonic Epilepsy (JME) and Familial Adult Myoclonus Epilepsy (FAME) are both considered genetically based myoclonic epilepsies; they both feature similar symptoms, with the primary difference being age of onset. Difficulty distinguishing between these two disorders leads to misdiagnoses. Using a literature review approach, this paper explores each epilepsy’s respective genetic factors, inheritance patterns, […]
    Prisha Wazarkar
    |
    October 4, 2026
  • Health Sciences, Psychology
    The Impact of Language and Framing on Climate Change Purchasing and Donation Behavior
    Abstract Background/Objective: Climate change communication influences pro-environmental behavior, yet a gap remains between expressed concern and actual action. This study examines how urgency, specificity, and social pressure in message framing affect self-reported willingness to engage in climate-related purchasing and donation behavior.Methods: A survey of 100 U.S. adults, stratified by demographic variables, presented participants with 21 […]
    Alexandra Hatch
    |
    October 4, 2026
  • Biomedical Engineering, Engineering, Health Sciences, Sports Science
    A Low-Cost PPG-Based Wearable Framework for Monitoring Fatigue and Recovery in Athletes
    Abstract For athletes who train and exercise regularly, it can be helpful to have a simple and reliable way to monitor fatigue. In daily life, fatigue is often assessed through subjective assessments or laboratory testing. Electrocardiogram (ECG)-based heart rate variability (HRV) analysis is commonly used to monitor physiological changes related to fatigue and recovery. However, using an […]
    Brian Do
    |
    October 4, 2026
  • Bioinformatics, Health Sciences, Life Sciences, Psychology
    MicroRNA-137 in Schizophrenia: A Bioinformatics-Based Review of a Genetic Locus and Regulatory Candidate 
    Abstract Schizophrenia is a serious mental health disorder that affects thinking, emotions, and behavior, but it is often diagnosed only after symptoms appear. Bioinformatics offers a way to study large genetic datasets and identify genetic markers that may help researchers better understand schizophrenia risk. In this research paper, the National Human Genome Research Institute–European Bioinformatics […]
    Ansh Yadawad, Rachel Gunraj
    |
    October 4, 2026
  • Electrical Engineering, Engineering
    Simulation-Based Deep Reinforcement Learning Framework for EV Charging Protocols Balancing Battery Degradation and Charging Performance
    Abstract Electric vehicle adoption continues to persist, but battery degradation poses a major issue under elevated charging rates, high temperatures, and operation outside optimal State of Charge (SOC). Constant Current-Constant Voltage (CCCV) charging is standard in electric vehicles (EVs), but its rule-based structure does not adapt to changing conditions, potentially accelerating degradation. This study aims […]
    Aarush Nair
    |
    October 4, 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 ›

  • Physical Sciences, Physics
    Double Pendulum Chaos in Uniform, Gradient, and Black-Hole Gravity
    Abstract The double pendulum is one of the simplest mechanical systems which exhibits chaotic motion and almost all the previous research assumes that the gravitational field is constant and uniform. The effect of modification of the gravitational field model on the onset of chaos and its amplitude of an ideal planar double pendulum is studied. […]
    Viraj Saraogi
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    October 4, 2026

Computing, Data & AI ›

  • AI & Machine Learning, Computing, Data & AI
    A Probabilistic Transformer for Seed-Conditioned 2D and 3D Dance Motion Continuation
    Abstract We ask whether a seed-conditioned generative model can extend a short dance phrase into a longer continuation that stays temporally smooth and keeps a readable skeleton. The dancer or animator chooses the seed, reviews, revises, or rejects the output, and retains control of the composition, while the system acts as a drafting tool to […]
    Fiona Yan
    |
    October 4, 2026

Engineering ›

  • Engineering, Mechanical Engineering
    Structural Optimization of Lightweight Electric Vehicle Spaceframe Chassis Under Variable Payload Distributions
    Abstract The rapid electrification of commercial urban logistics necessitates a transition from traditional internal combustion engine (ICE) chassis architectures to platforms optimized for high-density battery arrays and variable payload requirements. Many current electric delivery vehicles rely on modified ladder-frame structures originally designed for ICE vehicles, which may not be optimised for the dynamic and asymmetric […]
    Ashwin Swamy
    |
    September 27, 2026

Earth & Environment ›

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 ›

  • 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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