Results 161 to 170 of about 6,491,955 (362)
The Architecture of SARS-CoV-2 Transcriptome
Cell, 2020 Dongwan Kim +5 more
semanticscholar +1 more source
Advanced Biology, EarlyView.This study develops a tissue‐engineered model of the atherosclerotic cap using human mesenchymal stromal cells (MSCs). After 2 weeks of culture to produce a collagenous matrix, a mineralizing medium induces microcalcifications over 4 weeks. These constructs, imaged with second harmonic generation microscopy, lead to reduced ultimate stress at rupture ...
Imke L. Jansen +4 more
wiley +1 more source
202) Data concerning Architectural Load (Part 2) : Snow Load(Civil Engineering)
, 1956 Kiyoo Matsushita, Masanori Izumi
openalex +2 more sources
Advanced Biology, EarlyView.The glomerular filtration barrier (GFB) is the first step of blood filtration by the kidneys. The concerning increase of kidney diseases makes the development of new models essential. In this context, microphysiological glomerular filtration barriers focus on closely reproducing the physiological architecture of the in vivo GFB: podocytes, glomerular ...
Manon Miran +5 more
wiley +1 more source
An idea of Architecture: Schools of Architecture
Agathón, 2018 In the face of the changes in recent years that have characterized world architecture and its transmissibility, this paper poses certain questions to seek an answer in the analysis of some schools of architecture which have been able to defend themselves from that liquid horizon and from those changes caused primarily by the social penetration of ...
openaire +3 more sources
Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics
Advanced Engineering Materials, EarlyView.Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani +2 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.In this study, the mechanical response of Y‐shaped core sandwich beams under compressive loading is investigated, using deep feed‐forward neural networks (DFNNs) for predictive modeling. The DFNN model accurately captures stress–strain behavior, influenced by design parameters and loading rates.
Ali Khalvandi +4 more
wiley +1 more source