Results 151 to 160 of about 11,335,561 (292)

In Situ X‐Ray Tomography and Acoustic Emission Monitoring of Damage Evolution in C/C‐SiC Composites Fabricated by Liquid Silicon Infiltration

open access: yesAdvanced Science, EarlyView.
This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen   +7 more
wiley   +1 more source

Combating Inflammation and Promoting Anabolism in Osteoarthritic Cartilage Defect With an MMP13‐Sensing Dual‐Drug Scaffold

open access: yesAdvanced Science, EarlyView.
ABSTRACT Osteoarthritis (OA) is a widespread degenerative joint condition marked by progressive cartilage breakdown, and a chronic inflammatory microenvironment, where conventional therapies largely fail to halt disease progression. To address this unmet need, an intra‐articularly implantable, disease‐responsive scaffold was developed for combinatorial
Zhen Zhang   +6 more
wiley   +1 more source

3D virtual environments' generation

open access: yes, 2013
The development and testing of ubiquitous environments (places enhanced with sensors, public displays and personal devices) usually presents high costs, both due to the need to acquire specific hardware (sensors, displays, etc.), and the need to use, or even to build, a space wherein the physical system will be implemented.
openaire   +1 more source

Charting Endocrine Progenitors Across Species and Organs

open access: yesAdvanced Science, EarlyView.
Endocrine progenitors give rise to the hormone‐producing cells of the pancreas and intestine. Using single‐cell multiomics and proteomics, this study compares these progenitors across species, systems, and organs, mapping the conserved and species‐specific gene regulatory networks that guide their formation.
Changying Jing   +21 more
wiley   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

open access: yesAdvanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan   +8 more
wiley   +1 more source

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