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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, […]
  • Civil Engineering, Engineering
    Abstract Most levees in California are old structures, many of which were originally built in the 1800s and are now vulnerable to collapse. In response to growing concerns about their integrity, the state has issued a mandate requiring that levees in high-risk areas be upgraded by 2030. One of the primary threats to levee stability […]
  • Aerospace Engineering, Engineering
    Abstract Classical aerodynamic theory predicts that power scales with the cube of velocity when air density, drag coefficient, and reference area remain approximately constant. However, cross-category comparison is limited by non-standardized power and velocity specifications reported under different operating regimes. In this work, we examine the relationship between power and velocity using data. The data […]
  • Health Sciences, Psychology
    Abstract Introduction: Adolescence is a critical period for cognitive and emotional growth. In the U.S., an estimated 38% of high school students report serious cognitive difficulties, and about 20% of adolescents have a diagnosed mental or behavioral health condition such as anxiety, both associated with poorer academic performance and psychosocial functioning. Because both problems are […]
  • Earth & Environment, Environmental Science
    Abstract Microplastics are pervasive pollutants that host unique microbial communities (the “plastisphere”), which may contribute to plastic degradation or pose pathogenic risks. However, systematic comparisons across diverse materials are lacking. This study aims to identify microbial communities specifically enriched on plastic surfaces, particularly Thalassospira and Alcanivorax, and evaluate their potential for plastic degradation. We conducted […]
  • Health Sciences, Psychology
    Abstract Psychiatric diagnosis has expanded faster than the science beneath it. The Diagnostic and Statistical Manual of Mental Disorders (DSM) grew from 106 conditions in 1952 to approximately 300 in 2013, though counts vary with what is included. This review asks whether that growth reflects better recognition of real illness or systematic over-diagnosis, and what […]
  • AI & Machine Learning, Computing, Data & AI, Life Sciences, Neuroscience
    Abstract Background: Modern diagnosis of psychiatric disorders often includes subjective techniques across clinicians, such as interviews and the self-reporting of symptoms, which yield inconsistent results. However, Electroencephalography (EEG) can complement these current methods, offering a non-invasive and standardized measurement of biological signals. This study evaluates the accuracy of deep learning models in classification of psychiatric […]
  • Biomedical Engineering, Engineering
    Abstract Background/Objective: Transfer learning is widely used in medical imaging, but many studies compare models that also differ in architecture or training procedure. This makes it difficult to determine how much of the performance difference comes from pretraining itself. This study tested if pretraining improves brain tumor MRI classification and detection when architecture, data split, […]
  • Social Sciences, Social Sciences, Humanities & Policy
    Abstract The Smolensk Oblast faces persistent demographic decline, with birth rates falling from 10.6‰ in 2015 to 5.8‰ in 2023 and sustained youth out-migration to more developed regions. Despite federal and regional family support programs, these trends continue. This pilot study explores whether economic barriers (income and housing) are perceived as more significant obstacles to […]

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