Results 81 to 90 of about 38,167 (219)

Structural insights and therapeutic targets in Acinetobacter baumannii capsule biosynthesis

FEBS Letters, EarlyView.
Hypervirulent KL49 A. baumannii's capsular polysaccharide contains the nonulosonic acid 8‐epi‐Leg5,7Ac2, synthesized by epimerization via ElaA, ElaB, and ElaC. Crystal structures of ElaA, ElaB, and ElaC reveal their role in CMP‐Leg5,7Ac2 synthesis and regioselective C8 epimerization.
Woo Cheol Lee, Junho Jeong, Chae Yeong Lee, Hyunjoon Cho, Man Hwan Oh, Je Chul Lee, Jee‐Young Lee, Yangmee Kim   +7 more
wiley   +1 more source

Deep artificial neural network-powered phase field model for predicting damage characteristic in brittle composite under varying configurations

Machine Learning: Science and Technology
This work introduces a novel artificial neural network (ANN)-powered phase field model, offering rapid and precise predictions of fracture propagation in brittle materials. To improve the capabilities of the ANN model, we incorporate a loop of conditions
Hoang-Quan Nguyen, Ba-Anh Le, Bao-Viet Tran, Thai-Son Vu, Thi-Loan Bui   +4 more
doaj   +1 more source

Pultruded GFRP Translaminar Fracture Toughness Evaluation Using a Hybrid Approach of Size-Effect and Machine Learning

Applied Sciences
The translaminar fracture toughness of pultruded Glass Fiber Reinforced Polymers (GFRP) is influenced by several factors, including the type of matrix, fiber, the fiber volume ratio, the proportion of plies at each angle and the size of the test ...
Zenghui Zhao, Shihao Lu, Zhihua Xiong, Xiaoyu Liu   +3 more
doaj   +1 more source

Modelling stem cell differentiation related processes—A practical overview for biologists

FEBS Letters, EarlyView.
Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar, Xinqi Yan, Lucas F. Jansen Klomp, Stefano Schivo, Janine N. Post   +4 more
wiley   +1 more source

Comparison of Analytical and Numerical Simulations for Underwater Ice Evolution and Nonlinear Dynamics of False Bottoms

Mathematics
In the present work, a comparative study of a model of the nonlinear solidification of a binary melt in the presence of a quasi-equilibrium mushy region and a binary phase field model of an aqueous solution of NaCl in water is performed.
Irina Nizovtseva, Vladimir Ankudinov
doaj   +1 more source

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

A phase field - UEL framework for crack branching simulation in concrete

Vietnam Journal of Mechanics
 Crack branching significantly affects the fracture behavior of concrete, yet its modeling remains challenging due to the quasi-brittle nature of the material.
Vu Thi Thuy Anh, Ha Chi Hieu, Phan Dang Huy   +2 more
doaj   +1 more source

Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions

FEBS Letters, EarlyView.
The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang, Hyo Been Jin, Chang Min Kim, So Yeon Lee, Hyun Ho Park   +4 more
wiley   +1 more source

Accelerate microstructure evolution simulation using graph neural networks with adaptive spatiotemporal resolution

Machine Learning: Science and Technology
Surrogate models driven by sizeable datasets and scientific machine-learning methods have emerged as an attractive microstructure simulation tool with the potential to deliver predictive microstructure evolution dynamics with huge savings in ...
Shaoxun Fan, Andrew L Hitt, Ming Tang, Babak Sadigh, Fei Zhou   +4 more
doaj   +1 more source

Simulation of microstructure evolution in fused-coating additive manufacturing based on phase field approach [PDF]

China Foundry, 2017
The mechanical properties of metal components are determined by the solidification behaviour and microstructure. A quantitative phase field model is used to investigate the microstructure evolution of fused-coating additive manufacturing, by which to ...
Ru-wei Geng, Jun Du, Zheng-ying Wei
doaj