Results 41 to 50 of about 6,637,687 (253)

Perspective: Current challenges and solutions of Doppler optical coherence tomography and angiography for neuroimaging

APL Photonics, 2018
The nervous system, based on a complex network of nerves and cells, carries messages by transmitting signals to and from different parts of the body. The supply of blood flow in the nervous system is critical to maintain physiological functions.
Jiang Zhu, Xingdao He, Zhongping Chen
doaj   +1 more source

Prediction of Geopolymer Concrete Compressive Strength Utilizing Artificial Neural Network and Nondestructive Testing

Civil and Environmental Engineering, 2022
A promising substitute for regular concrete is geopolymer concrete. Engineering mechanical parameters of geopolymer concrete, including compressive strength, are frequently measured in the laboratory or in-situ via experimental destructive tests, which ...
Almasaeid Hatem, Alkasassbeh Abdelmajeed, Yasin Bilal   +2 more
doaj   +1 more source

Dose‐dependent hepatotoxicity of hydrogen peroxide in HepG2 cells and its modulation by CYP450 induction

FEBS Open Bio, EarlyView.
NMR metabolomics revealed concentration‐dependent metabolic perturbations in HepG2 cells exposed to H2O2. Rifampicin pretreatment enhanced metabolic competence, attenuated toxin‐induced alterations and produced metabolite profiles more consistent with human liver physiology, supporting the use of CYP450‐induced HepG2 models for improved in vitro ...
Maren Jinks, Garth L. Maker, Emily C. Davies, Berin A. Boughton, Samantha Lodge   +4 more
wiley   +1 more source

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

Advanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt, Varma Kvvssn, Hossein Laieghi, Zia Uddin, Peyman Ansari, E. Kıvanç Sadak, Can Barış Toprak, Hüseyin Kızıl, Enrico Salvati   +8 more
wiley   +1 more source

Microstructural Evolution and Vacancy Defect Formation in Mn–Mo–Ni RPV Steel Under Low Cycle Fatigue: Insights From EBSD and PALS

Advanced Engineering Materials, EarlyView.
Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar, Dhanadeep Dutta, G. Bharat Reddy   +2 more
wiley   +1 more source

Test Submission

, 2021
This is a sample submission generated by Vireo to test the repository deposit features.Test ...
Submitter, Test
core  

Air‐Pressure–Actuated Vibroacoustic Metamaterial With Tunable Bandgap: Design, Modeling, and Characterization

Advanced Engineering Materials, EarlyView.
This article presents the design, modeling, and characterization of air‐pressure–actuated programmable vibroacoustic metamaterials (PVAMM). The study focuses on leveraging air pressure to dynamically tune resonance frequencies for effective noise attenuation.
William Kaal, Michael M. Becker, Sarah C. L. Fischer   +2 more
wiley   +1 more source

Research on Void Signal Recognition Algorithm of 3D Ground-Penetrating Radar Based on the Digital Image

Frontiers in Materials, 2022
The three-dimensional ground-penetrating radar system is an effective method to detect road void disease. Ground penetrating radar image interpretation has the characteristics of multi-solution, long interpretation period, and high professional ...
Zhiyong Huang, Guoyuan Xu, Jiaming Tang, Huayang Yu, Duanyi Wang   +4 more
doaj   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

Multi-parameter dimensionality reduction quantitative characterization and ultrasonic evaluation of GH738 grain morphology

Cailiao gongcheng
To characterize the grain morphology from multiple apsects such as size， shape and distribution， and then realize the quantitative ultrasonic evaluation of the uniformity of grain morphology， an ultrasonic multi-parameter evaluation method for grain ...
GONG Xin, CHEN Jie, CHEN Xi, WU Guanhua
doaj   +1 more source