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  • AI & Machine Learning, Biology, Computing, Data & AI, Life Sciences
    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 […]
  • Biology, Chemistry, Life Sciences, Physical Sciences
    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) […]
  • Computing, Data & AI, Data Science, Economics, Social Sciences, Humanities & Policy
    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, […]
  • AI & Machine Learning, Computing, Data & AI
    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, […]
  • Life Sciences, Neuroscience
    Abstract Background: Training, instrumental learning, and behavioral control are often described as developing from goal-directed to habitual stimulus-response (S-R). This classical, linear narrative however, neglects the interaction of these systems with a modulatory system that adjusts the habit-goal balance, and the underlying neural processes. This manuscript reviews the evidence for an alternative, interactive account of […]
  • Biology, Life Sciences
    Abstract One of the most promising frontiers in genetic medicine is in vivo gene editing, which enables the direct delivery of CRISPR-based tools into the body. In vivo gene editing enables permanent genetic changes within tissues, whereas traditional ex vivo strategies require removing a patient’s cells and engineering them in a lab outside the body. […]
  • Biomedical Engineering, Engineering
    Abstract The impact of muscle injuries in sports is substantial, affecting an estimated 4 million athletes annually in the US. In addition to the prolonged recovery time, a lack of better treatment options leaves most athletes vulnerable to further injury following their recovery.  This paper reviews emerging evidence supporting the use of induced pluripotent stem […]
  • Electrical Engineering, Engineering
    Abstract Battery Management Systems (BMS) are essential for guaranteeing the safety, efficiency, and reliability of battery packs in electric vehicles. This paper covers BMS’s history and reviews its potential implementation in Lisbon’s historic trams, an environment where an effective battery performance is necessary to ensure optimal passenger service and route efficiency. This review examines the […]
  • Mathematics, Mathematics & Statistics
    Abstract We study the Diophantine equation n² + 1 = 2pᵏ in positive integers with p prime and k ≥ 1. It lies at the intersection of two classical families, the Lebesgue-Nagell equation and the negative Pell equation, and the results bearing on it are scattered across the literature on generalized Lebesgue-Ramanujan-Nagell equations. The objective […]
  • Biology, Earth & Environment, Environmental Science, Life Sciences
    Abstract Background/Objective: International wildlife trade monitoring relies on accurate reporting from both importing and exporting nations. However, regulations built on this data often prove inadequate, as gaps in records allow disease risks to slip through the cracks. This study investigated discrepancies in United States live mammal import tracking data in the CITES Trade Database between […]
  • Health Sciences, Public Health
    Abstract Tennis players face unique risks of ultraviolet radiation exposure due to the nature of the sport, namely its prolonged outdoor play, minimal shade, skin-bearing clothing, and limited breaks. Despite public health campaigns promoting sunscreen use and general sun safety, there is limited research on sunscreen use habits across heterogeneous tennis populations. A preliminary cross-sectional […]
  • Computer Science, Computing, Data & AI
    Abstract Network structure can alter how rapidly misinformation-like contagion spreads and which nodes are most valuable to protect. This study compared susceptible-infected-recovered-type diffusion on 1,000-node Erdős-Rényi (ER), Watts-Strogatz (WS), and Barabási-Albert (BA) networks. One hundred graph realizations per topology were analyzed without intervention, and eight structural-immunization strategies were tested at 1%, 5%, and 10% coverage: […]
  • Electrical Engineering, Engineering
    Abstract In this study, we constructed a two-dimensional magnetostatic finite element method (FEM) model that simulates the magnetic field distribution and calculates the torque generated by an electrically excited synchronous motor (EESM). A cross-sectional model of an EESM was created, with region-specific relative magnetic permeability and equivalent current densities in the windings. Specifically, our algorithm […]
  • Biology, Earth & Environment, Environmental Science, Life Sciences
    Abstract Background/Objective: International wildlife trade monitoring relies on accurate reporting from both importing and exporting nations. However, regulations built on this data often prove inadequate, as gaps in records allow disease risks to slip through the cracks. This study investigated discrepancies in United States live mammal import tracking data in the CITES Trade Database between […]
  • Mathematics, Mathematics & Statistics
    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 […]
  • Social Sciences, Humanities & Policy, Urban Planning
    Abstract In the 1930s, Home Owners’ Loan Corporation (HOLC) residential security maps divided city neighborhoods into grades, from A (“best”) to D (“hazardous”); those lower-grade neighborhoods have been regarded as related to lasting social and environmental inequalities, although the maps were not the sole mechanism by which such inequalities arose. We examined whether historical HOLC […]

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