Results 91 to 100 of about 61,800 (289)

Transforming Grain‐Boundary Brittle Precipitates to Ductility Pathways in Complex Concentrated Alloy

Advanced Science, EarlyView.
By engineering graded BCC/L12 interfaces, brittle precipitates in a complex concentrated alloy enable sequential deformation, realizing gigapascal strength with >20% elongation to solve the strength‐ductility trade‐off. ABSTRACT Conventional wisdom holds that hard grain‐boundary (GB) precipitates embrittle structural alloys by acting as crack ...
Zhixin Li, Xiao‐Tong Li, Zhaoqi Chen, Yushan Geng, Hao Gong, Sijia Hu, Wenli Song, Wanshun Xia, Chuanzheng Li, Linfa Peng, Yue Fan, Pengfei Guan, Bo Zhang, Weihua Wang, Yong Yang   +14 more
wiley   +1 more source

An Enzyme‐Like Catalyzed Nanosheets for Redox Stress Oscillation Therapy Against Bacterial Infections

Advanced Science, EarlyView.
Bacterial biofilms form a physicochemical barrier. Their dense network structure and redox homeostasis confer high resistance to antimicrobial treatments and immune‐mediated killing and clearance. In this study, SnSe nanosheets with enzyme‐like properties and piezoelectric catalysis can oscillate to regulate bacterial redox homeostasis and improve the ...
Min Ge, Zhao Guo, Zhiming Zhang, Lanlu Lu, Zesong Ruan, Tingwang Shi, Yunfeng Chen, Ju Huang, Chaoliang Tan, Han Lin   +9 more
wiley   +1 more source

Deformation analysis by an improved similarity transformation

Applied Computing and Geosciences
In this contribution, deformation analysis is rigorously performed by a non-linear 3-D similarity transformation. In contrast to traditional methods based on linear least-squares (LLS), here we solve a non-linear problem without any linearization.
Vahid Mahboub
doaj   +1 more source

Underdetermined Wideband DOA Estimation for Off-Grid Sources with Coprime Array Using Sparse Bayesian Learning

Sensors, 2018
Sparse Bayesian learning (SBL) is applied to the coprime array for underdetermined wideband direction of arrival (DOA) estimation. Using the augmented covariance matrix, the coprime array can achieve a higher number of degrees of freedom (DOFs) to ...
Yanhua Qin, Yumin Liu, Jianyi Liu, Zhongyuan Yu   +3 more
doaj   +1 more source

Developing Allometric Equations for Teak Plantations Located in the Coastal Region of Ecuador from Terrestrial Laser Scanning Data [PDF]

, 2019
Traditional studies aimed at developing allometric models to estimate dry above-ground biomass (AGB) and other tree-level variables, such as tree stem commercial volume (TSCV) or tree stem volume (TSV), usually involves cutting down the trees.
Aguilar Torres, Fernando José, Aguilar Torres, Manuel, Nemmaoui, Abderrahim, Peñalver, Alberto, Rivas, José R.   +4 more
core   +1 more source

Mature Tertiary Lymphoid Structures Indicate Good Chemotherapy Response and Prognosis in Advanced Colorectal Cancer

Annals of Gastroenterological Surgery, EarlyView.
In advanced colorectal cancer, tumors with mature tertiary lymphoid structures (TLS) exhibited abundant infiltration of CD3‐ and CD8‐positive lymphocytes in both primary and metastatic sites, indicating an activated immune response. The presence of mature TLS was also associated with favorable chemotherapy sensitivity and improved prognosis.
Nobuhiro Hosoi, Chika Komine, Gendensuren Dorjkhorloo, Takuya Shiraishi, Takuhisa Okada, Akihiko Sano, Makoto Sakai, Takehiko Yokobori, Ken Shirabe, Hiroshi Saeki   +9 more
wiley   +1 more source

Improving Ensemble Forecasting Using Total Least Squares and Lead-Time Dependent Bias Correction

Atmosphere, 2020
Numerical weather prediction (NWP) models produce a quantitative precipitation forecast (QPF), which is vital for a wide range of applications, especially for accurate flash flood forecasting.
Aida Jabbari, Deg-Hyo Bae
doaj   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

An Adaptive TLS-ESPRIT Algorithm Based on an S-G Filter for Analysis of Low Frequency Oscillation in Wide Area Measurement Systems

IEEE Access, 2019
In this paper, a two-stage mode identification algorithm including preprocessing and identification steps is introduced to solve the problems of measuring noise and inaccurate mode identification in the analysis of low-frequency oscillation (LFO) in a ...
Jian Chen, Tao Jin, Mohamed A. Mohamed, Mengqi Wang   +3 more
doaj   +1 more source

Gaussian Process Regression–Neural Network Hybrid with Optimized Redundant Coordinates: A New Simple Yet Potent Tool for Scientist's Machine Learning Toolbox

Advanced Intelligent Discovery, EarlyView.
A machine learning method, opt‐GPRNN, is presented that combines the advantages of neural networks and kernel regressions. It is based on additive GPR in optimized redundant coordinates and allows building a representation of the target with a small number of terms while avoiding overfitting when the number of terms is larger than optimal.
Sergei Manzhos, Manabu Ihara
wiley   +1 more source