Results 181 to 190 of about 312,214 (306)

Performance Assessment of the Immersed Boundary Method in the Framework of the Moment Representation Lattice Boltzmann Method

open access: yesInternational Journal for Numerical Methods in Fluids, EarlyView.
The immersed boundary method (IBM) was coupled with the moment representation lattice Boltzmann method (MR‐LBM), reducing bandwidth requirements compared to population‐based LBM formulations. A systematic assessment of IBM parameters was conducted to quantify their effect on computational performance.
Marco A. Ferrari   +2 more
wiley   +1 more source

The T‐Cell Response Mechanism in Human Papillomavirus‐Associated Cervical Cancer and New Strategies for Immunotherapy

open access: yesiNew Medicine, EarlyView.
ABSTRACT Human papillomavirus (HPV) is a double‐stranded DNA virus that infects human skin and mucosal tissues exclusively. The German scientist Harald zur Hausen was awarded the 2008 Nobel Prize in Physiology or Medicine for his discovery of the link between HPV infection and cervical cancer.
Fang Zhu   +5 more
wiley   +1 more source

A dendrimer enhanced CRISPR/Cas12a performance for the evaluation of acidogenic capacity in cariogenic bacteria

open access: yesInterdisciplinary Medicine, EarlyView.
A CRISPR/Cas12a‐powered dendritic DNA nanostructure is assembled to create confined enzymatic microdomains, enabling ultrasensitive detection. Integrated into a paper‐based origami biosensor, it allows equipment‐free on‐site quantification of acidogenic pathogens for the early diagnosis of dental caries.
Yuan Zhang   +4 more
wiley   +1 more source

Machine Learning‐Based Estimation of Reference Evapotranspiration and Crop Coefficients for Wheat Under Diverse Climatic Conditions

open access: yesIrrigation and Drainage, EarlyView.
ABSTRACT Accurate estimation of reference evapotranspiration (ET0) and crop coefficients (Kc) is critical for irrigation planning, particularly in data‐limited regions where agriculture dominates freshwater consumption. Although machine learning (ML) methods have been widely applied to ET0 and Kc estimation, most studies address these parameters ...
Ilker Angin   +4 more
wiley   +1 more source

Clinical Feasibility of Deep Learning Contrast Synthesis From MR Fingerprinting in Knee Osteoarthritis

open access: yesJournal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Magnetic Resonance Fingerprinting (MRF) enables rapid quantitative parameter mapping from which synthetic clinical contrast images can be derived using deep learning (DL). Purpose This study evaluates the reliability and interchangeability of MRF‐derived synthetic knee MRI relative to conventional MRI in patients with osteoarthritis.
Mika T. Nevalainen   +9 more
wiley   +1 more source

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