Results 141 to 150 of about 3,578 (213)

Structural Optimization of 3D Braided Tungsten–Copper Composites via Active Learning and Finite Element Simulation

Materials Genome Engineering Advances, EarlyView.
An uncertainty‐aware FEM–GPR active learning framework efficiently explores the design space of 3D braided W–Cu composites, identifying architectures with higher yield strength and preserved electrical conductivity, whereas SHAP interpretation highlights yarn spacing in the braid plane as the key structural factor controlling composite performance ...
Lai Zhang, Tianwen Chen, Yongjing Wu, Fuzhu Liu, Yaping Wang, Zhimao Yang, Shengchun Yang   +6 more
wiley   +1 more source

A Challenge-Oriented Review of Delivery Systems for Cell and Gene Therapies in Intervertebral Disc Degeneration. [PDF]

Bioengineering (Basel)
Wu W, Cheng Z, Gao H, Chen X, Wu W, Yu Z, Yang C, Zhang Y.   +7 more
europepmc   +1 more source

DeepRelaxo: Fast Mono‐Exponential Magnitude Brain R2* Mapping With Reduced Echoes Using Self‐Supervised Deep Learning

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose We introduce DeepRelaxo, a fast and generalizable deep learning method for estimating brain R2* maps from multi‐echo gradient echo (ME‐GRE) acquisitions with arbitrary echo configurations, including shortened echo trains for accelerated scans.
Samiha Prima, Zhuang Xiong, Alan H. Wilman, Hongfu Sun   +3 more
wiley   +1 more source

Comprehensive Optoelectronic Study of Copper Nitride: Dielectric Function and Bandgap Energies. [PDF]

Nanomaterials (Basel)
Ballester M, Marquez AP, Blanco E, Manuel JM, Rodriguez-Tapiador MI, Fernandez SM, Willomitzer F, Katsaggelos AK, Marquez E.   +8 more
europepmc   +1 more source

Denoising of ASL Data Using Deep Learning Priors Generated From Distribution Remapping

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop an effective deep learning (DL)–based method to denoise arterial spin labeling (ASL) data. Methods Conventional DL–based ASL denoising methods often suffer from overfitting and poor generalization when training data are limited.
Ziyang Xu, Rong Guo, Ziwen Ke, Yudu Li, Yibo Zhao, Wen Jin, Ruihao Liu, Ziyu Meng, Yao Li, Zhi‐Pei Liang   +9 more
wiley   +1 more source

Optimization of asymmetric gyrostatic satellite kinematics in a resistive medium: A novel elliptic function solution. [PDF]

Sci Rep
Elneklawy AH, Amer TS, Elkilany SA, Seliem ASA, Hegazy N.   +4 more
europepmc   +1 more source

Anisotropic Initial Damage and Its Effect on Tensile Response of Plain Concrete

International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT Damage is often described as isotropic, implying that a scalar value describes its initial state. However, the prior micro‐cracking pattern at points of an existing building, that is, the initial damage, may be oriented by a preload. The degradation of the Volume Element due to oriented preloads shall be described as anisotropic and ...
A. Fau, A. A. Basmaji, U. Nackenhorst, R. Desmorat   +3 more
wiley   +1 more source

Cell shapes decode molecular phenotypes in image-based spatial proteomics. [PDF]

Cell Syst
Le T, Leineweber WD, Viana MP, Cesnik A, Hansen JN, Ouyang W, Rafelski SM, Lundberg E.   +7 more
europepmc   +1 more source

Trapped in the web: network architectures spread coevolution and shape adaptation

Oikos, EarlyView.
Adaptation is critical for biodiversity to persist under global change. Within ecological communities, species often face tradeoffs between adapting to shifting abiotic conditions and navigating the complex selective pressures imposed by interaction networks.
Alexandre Fuster‐ Calvo, Cecilia S. Andreazzi, Christine Parent, François Massol, Paulo R. Guimarães Jr, Dominique Gravel   +5 more
wiley   +1 more source

The genetic and developmental enigma of rhizomes: crucial traits with limited understanding. [PDF]

Theor Appl Genet
Chen H, Coughlan JM.
europepmc   +1 more source