Results 201 to 210 of about 146,961 (238)

Conference Report-The Past, Current, and Future Challenges in Transplantation: A Festschrift in Honor of Professor Paul Anthony Keown. [PDF]

open access: yesCan J Kidney Health Dis
Gill J   +13 more
europepmc   +1 more source

Omics Insights Into the Effects of Highbush Blueberry and Cranberry Crop Agroecosystems on Honey Bee Health and Physiology

open access: yesPROTEOMICS, EarlyView.
ABSTRACT Honey bees (Apis mellifera) are vital pollinators in fruit‐producing agroecosystems like highbush blueberry (HBB) and cranberry (CRA). However, their health is threatened by multiple interacting stressors, including pesticides, pathogens, and nutritional changes.
Huan Zhong   +25 more
wiley   +1 more source

Data‐Driven Prediction of Block Copolymer Morphology Using Coarse‐Grained Modeling and Machine Learning

open access: yesJournal of Polymer Science, EarlyView.
An integrated framework combining high‐throughput CG‐MD simulations, automated image‐based feature extraction, and supervised machine learning enables efficient, interpretable, and data‐driven prediction of block copolymer morphological behaviors.
Lan Xu, Zhaofan Li, Wenjie Xia
wiley   +1 more source

Deep‐Learning Algorithm Diagnostic Support for Usual Interstitial Pneumonia Pattern Recognition in Fibrotic Interstitial Lung Disease

open access: yesRespirology, EarlyView.
ABSTRACT Background and Objective High resolution computed tomography (HRCT) scan diagnostic classification for usual interstitial pneumonia (UIP) plays a critical role in therapeutic decision‐making and clinical trial eligibility for interstitial lung disease (ILD) patients, but is subject to variability.
Caitlin C. Fermoyle   +313 more
wiley   +1 more source

Safe Stabilization Using Non‐Smooth Control Lyapunov Barrier Function

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This paper addresses the challenge of safe stabilization, ensuring the system state reaches the origin while avoiding unsafe state regions. Existing approaches that rely on smooth Lyapunov barrier functions often fail to guarantee a feasible controller. To overcome this limitation, we introduce the non‐smooth control Lyapunov barrier function (
Jianglin Lan   +3 more
wiley   +1 more source

Improving forest age estimation to understand subtropical forest regrowth dynamics using deep learning image segmentation of time‐series historical aerial photographs

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Accurately estimating forest age is key to understanding how forests recover and evaluating restoration success. We developed a two‐step deep learning approach using historical greyscale aerial photographs to map forest age at fine spatial scales. By combining a pre‐trained model with localized fine‐tuning, our U‐Net + ResNet50 architecture achieved ...
Ying Ki Law   +10 more
wiley   +1 more source

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