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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, […]
  • Bioinformatics, Biology, Life Sciences
    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 […]
  • Health Sciences, Public Health
    Abstract This study examined vaccination using an illustrative SEIRV model and an exploratory analysis of COVID-19 indicators in five countries during 2021-2022. Susceptible, exposed, infectious, recovered, and vaccinated populations were tracked by the model, while incorporating imperfect protection, breakthrough infections, waning immunity, and reinfection over 200 days. In the empirical analysis, a total of 474 […]
  • Chemistry, Physical Sciences
    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 […]
  • AI & Machine Learning, Computing, Data & AI, Finance, Social Sciences, Humanities & Policy
    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 […]
  • Engineering, Mechanical Engineering
    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, […]
  • AI & Machine Learning, Computing, Data & AI, Finance, Social Sciences, Humanities & Policy
    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 […]

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