Publications by authors named "H Lay"

Coronavirus disease 2019 (COVID-19) is a contagious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that can be transmitted through human interaction. In this paper, we present a Piecewise Susceptible-Exposed-Infectious-Unreported-Removed model for infectious diseases and discuss qualitatively and quantitatively. The parameters are explored by mathematical and statistical methods.

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In liquid argon time projection chambers exposed to neutrino beams and running on or near surface levels, cosmic muons, and other cosmic particles are incident on the detectors while a single neutrino-induced event is being recorded. In practice, this means that data from surface liquid argon time projection chambers will be dominated by cosmic particles, both as a source of event triggers and as the majority of the particle count in true neutrino-triggered events. In this work, we demonstrate a novel application of deep learning techniques to remove these background particles by applying deep learning on full detector images from the SBND detector, the near detector in the Fermilab Short-Baseline Neutrino Program.

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Nurse aides are the most important direct-care providers and are indispensable in caring for hospitalized patients. Most of the hospitalized patients who need care in their daily lives hire nurse aides as regular caregivers. Care work involves numerous risks, and negligent care that results in patient injury may put a nurse aid caregiver at risk of litigation.

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In this study, we report a facile preparation of an organic solvent-resistant membrane through the formation of urethane bonds between polycarbonate and polyethyleneimine groups. The modified membrane was further cross-linked with 1,4-butanediol diglycidyl ether (BDG) to enhance its solvent resistance as well as its thermal and mechanical stability. The cross-linked polycarbonate membranes exhibited improved solvent resistance with various organic solvents, giving a maximum swelling degree of 6%.

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Wireless capsule endoscopy has been used for the clinical examination of the gastrointestinal (GI) tract for two decades. However, most commercially available devices only utilise optical imaging to examine the GI wall surface. Using this sensing modality, pathology within the GI wall cannot be detected.

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