Results 221 to 230 of about 54,679 (282)

Enhancing stroke risk stratification in atrial fibrillation through non‐Newtonian blood modelling and Gaussian process emulation

The Journal of Physiology, EarlyView.
Abstract figure legend Non‐Newtonian modelling and GPEs for stroke risk in atrial fibrilation patients. Abstract Atrial fibrillation (AF) is the most common heart arrhythmia, linked to a five‐fold increase in stroke risk. The left atrial appendage (LAA), prone to blood stasis, is a common thrombus formation site in AF patients.
Paolo Melidoro, Abdel Rahman Amr Sultan, Ahmed Qureshi, Magdi H. Yacoub, Khalil L. Elkhodary, Gregory Y. H. Lip, Natalie Montarello, Nishant Lahoti, Ronak Rajani, Magdalena Klis, Steven E. Williams, Oleg Aslanidi, Adelaide De Vecchi   +12 more
wiley   +1 more source

Metasurfaces with Phase-Change Materials for Mid-Wave Infrared Thermal Management. [PDF]

Micromachines (Basel)
Babicheva VE, Kim H, Piqué A.
europepmc   +1 more source

A primary cell‐based fluidic co‐culture model to investigate drug transport across the human placenta

The Journal of Physiology, EarlyView.
Abstract figure legend Schematic overview of a flow‐driven in vitro model of the human placental barrier designed to study transport processes during pregnancy. The model recreates key features of the maternal–fetal interface, enabling the investigation of how nutrients and therapeutic compounds cross the placental barrier under physiologically ...
Barbara Fuenzalida, Nadja Koechli, Edgar Ontsouka, Chennakesava Cuddapah, Martin Mueller, Bram Sengers, Frantisek Staud, Christiane Albrecht   +7 more
wiley   +1 more source

Order parameters and phase transitions of continual learning in deep neural networks. [PDF]

Proc Natl Acad Sci U S A
Shan H, Li Q, Sompolinsky H.
europepmc   +1 more source

Experimental models of cerebral small vessel disease: Physiological constraints, translational challenges and future directions

The Journal of Physiology, EarlyView.
Abstract figure legend Overview of cerebral small vessel disease (cSVD) pathophysiology and current modelling challenges. Left: clinical burden and key unresolved research questions. Right: neurovascular unit (NVU) architecture highlighting sites of cSVD pathology across arterioles, capillaries and venules, including interactions between endothelial ...
Sophie Beaumont, Tanya Singh, Luana Campos Soares, Mootaz M. Salman   +3 more
wiley   +1 more source

A System Identification Approach to Motion Model Based on Full-Scale Ship Maneuvering Data. [PDF]

Sensors (Basel)
Tian Y, Tian W, Zhang K, Hua L, Wen J, Zhu F.   +5 more
europepmc   +1 more source

Deep learning and computer vision for image‐based high‐throughput phenotyping of canning quality traits in dry beans

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Canning color retention is a key quality trait in dry bean (Phaseolus vulgaris L.) breeding, influencing consumer acceptance and commercial value. Public breeding programs maintain canning quality as a selection trait of importance, but existing color evaluation methods such as visual rating are subjective, while instrument colorimetry is ...
Lovepreet Singh, Om Sai Krishna Madhav Lella, Evan M. Wright, Karen Cichy, Valerio Hoyos‐Villegas   +4 more
wiley   +1 more source

Effects and Mechanisms of Wrist-Ankle Acupuncture on Inflammatory Pain in the Rat Gastrocnemius Muscle. [PDF]

J Pain Res
Mai T, Cai M, Tian Y, Jiang L, Fang F, Gu W.   +5 more
europepmc   +1 more source

Pixel‐level supervision resolves overlap: Benchmarking YOLOv12 segmentation for accurate multi‐cluster dry bean stand counting from time series unoccupied aerial systems imagery

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract An agronomic trait such as stand count is important for cultivar development and crop management practices. Manually counting the number of plants is time consuming, labor‐intensive, and prone to error. The use of unoccupied aerial systems (UAS)‐collected red, green, blue (RGB) imagery in conjunction with advanced deep learning and image ...
Aliasghar Bazrafkan, Valerio Hoyos‐Villegas   +1 more
wiley   +1 more source

An Artificial Neural Network for Rapid Prediction of the 3D Transient Temperature Fields in Ship Hull Plate Line Heating Forming. [PDF]

Materials (Basel)
Yang Z, Yuan H, Wei Z, Chang L, Zhao Y, Liu J.   +5 more
europepmc   +1 more source