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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, […]
  • Biomedical Engineering, Engineering, Life Sciences, Neuroscience
    Abstract Background: Guillain-Barré syndrome is an acute autoimmune disorder characterized by rapid progressive weakness, autonomic dysfunction and possible respiratory failure. Even though intravenous immunoglobulin (IVIG) and plasma exchange are now the preferred therapies, these invasive, costly treatments are not individualized to specific immune effects. This article considers whether artificial intelligence might be capable of guiding […]
  • Computer Science, Computing, Data & AI
    Abstract As processors have become increasingly powerful compared to storage systems, being able to access data efficiently for scientific applications has become more important than ever. Data reduction techniques address this issue by minimizing the amount of data that must be stored by simulation and subsequently retrieved by scientific data analytics, thereby reducing the time […]
  • Health Sciences, Psychology
    Abstract This review looks into how offenders in violent group crimes use moral disengagement to justify their actions, with a focus on gender differences. Although interest in moral disengagement has grown, most research centers on male offenders and technology-related aggression, leaving a gap in our understanding of how these processes operate in the real-world. The […]
  • Computing, Data & AI, Data Science, Earth & Environment, Environmental Science
    Abstract Fine particulate matter (PM2.5) is linked to respiratory and cardiovascular disease. Regional wildfire activity is a recognized contributor to short-term PM2.5 variation in California. This study compares twelve forecasting approaches for next-day PM2.5 at a single U.S. EPA Air Quality System (AQS) site in Santa Cruz, California, over the 2025 calendar year. The approaches […]
  • Astronomy & Astrophysics, Physical Sciences
    Abstract The evolution of galaxy spectra with redshift is central to studies of chemical enrichment, ionization evolution, and star formation history. Many emission line diagnostics pre-select lines or line regions and use techniques calibrated to low-redshift objects, resulting in systematic errors at high redshift. We use principal component analysis (PCA) to analyze rest-frame QSO spectra […]
  • Biochemistry, Life Sciences
    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 […]
  • Physical Sciences, Physics
    Abstract Bohmian mechanics provides an alternate interpretation of quantum mechanics, where particles have definite trajectories, allowing us to study the correspondence principle. Correspondence is usually framed in terms of n, but it does not consider the superpositions built on the basis. This study examines two families: Gaussian packets (family A) with width  σ = 2n […]
  • Aerospace Engineering, Engineering
    Abstract Engine failure in a single-engine aircraft removes all thrust and leaves the pilot with one option: glide as far as possible while looking for a place to land. Standard practice is to hold a fixed best-glide speed taken from the aircraft handbook, but holding a constant target by hand is difficult, and earlier work […]
  • AI & Machine Learning, Computing, Data & AI, Finance, Social Sciences, Humanities & Policy
    Abstract Large language models are increasingly being used in creating investment strategies. However, most studies that create a pipeline, feed news and financial reports in a single prompt to the LLMs. This can reduce relevant signals. To address this limitation, we developed a two-stage filtering framework which uses news articles to select a candidate stock […]

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