Results 101 to 110 of about 144,674 (291)

Bioengineered 3D hPSC‐Cholangiocyte Ducts With Physiological Signals for Biliary Disease Modeling

Advanced Healthcare Materials, EarlyView.
Tian and colleagues generated a bioengineered bile duct from human pluripotent stem cell (hPSC)‐derived intrahepatic cholangiocytes within a high‐throughput, 384‐well platform to systematically examine the influence of biliary physiological signals including fluid flow, stromal cells and bile acids, and models intrahepatic biliary disease progression ...
Britney Tian, Mina Ogawa, Manami Kondo, Gabrielle Langeveld, Ling Jun Huan, Feng Zhang, Andrew Hollinger, Sara Deir, Christine Bear, Boyang Zhang, Shinichiro Ogawa   +10 more
wiley   +1 more source

On the Use of Fault Tree Analysis to Capture Dynamic and Multistate Aspects in the Analysis of Hydrogen Systems

Chemical Engineering Transactions
Hydrogen systems are being deployed to reduce fossil fuel dependence and support cleaner energy. Large-scale upscaling of hydrogen technology demands a strong understanding of reliability and risk.
Dikshya Bhandari, Jon Tømmerås Selvik
doaj  

A New 3D Colon on a Chip to Decipher the Influence of Mechanical Forces on the Physiological Cellular Ecosystem

Advanced Healthcare Materials, EarlyView.
To dissect how mechanical forces influence intestinal physiology, we developed a stretchable 3D colon‐on‐chip that integrates tunable topography, stiffness and peristalsis‐like motion within a physiologically relevant microenvironment. We showed that stretching is a dominant factor governing epithelial behavior, markedly enhancing proliferation and ...
Moencopi Bernheim‐Dennery, Lauriane Gérémie, Julie Brun, Lucas Chassatte, Giacomo Gropplero, Réda Bouras, Jieun Choo, Bertrand Cinquin, Alba Marcellan, Danijela Matic Vignjevic, Stéphanie Descroix   +10 more
wiley   +1 more source

A Dynamic Approach to Fault Tree Analysis based on Bayesian Beliefs Networks

Chemical Engineering Transactions, 2019
According to the Seveso Directives, the risk assessment is crucial for an effective control of major accident hazard. Nevertheless, the complexity of many Seveso sites, due to human, technical and organizational factors makes recognized common practices ...
Tomaso Vairo, Maria Milazzo, Paolo Bragatto, Bruno Fabiano   +3 more
doaj   +1 more source

Storage and Search in Dynamic Peer-to-Peer Networks

, 2013
We study robust and efficient distributed algorithms for searching, storing, and maintaining data in dynamic Peer-to-Peer (P2P) networks. P2P networks are highly dynamic networks that experience heavy node churn (i.e., nodes join and leave the network ...
Augustine John, Fiat Amos, Geambasu Roxana, Hildrum Kirsten, Jacobs T., Pandurangan Gopal, Zhong Ming   +6 more
core   +1 more source

Unveiling the Role of Curvature in Carbon for Improved Energy Release of Ammonium Perchlorate

Advanced Materials, EarlyView.
High‐curvature carbon materials identified via machine learning and simulation can enhance the heat release and combustion performance of ammonium perchlorate. ABSTRACT The catalytic role of carbon curvature in the thermal decomposition of ammonium perchlorate (AP) remains largely unexplored. To address this gap, this study employs machine learning and
Dan Liu, Keliang Song, Haorui Zhang, Zhipeng Liu, Guansong He, Junru Wang, Wenming Yang, Xu Zhao, Zhijian Yang   +8 more
wiley   +1 more source

From Fault Tree to Credit Risk Assessment: A Case Study [PDF]

, 2004
Reliability has been largely applied to industrial systems in order to study the various possibilities of systems’ failure. The goal is to establish the chain of events leading to any system’s failure, namely the top event.
Gatfaoui, Hayette
core  

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

2D Co‐Mo‐Hydroxide‐Based Multifunctional Material for the Development of H2‐Based Clean Energy Technologies

Advanced Materials, EarlyView.
2D α‐Co(OH)2 interleaved with Mo species displays an appealing dual functionality for the production and use of green hydrogen.Mo incorporation greatly benefits the electrochemical behaviour in Oxygen Evolution Reaction for H2 production, while the magnetocaloric response at liquid H2 temperature paves the way for alternative cryogenic refrigerants ...
Daniel Muñoz‐Gil, Celia Castillo‐Blas, Dawid Krystian Feler, Isabel Gómez‐Recio, Miguel Tinoco, Ana Querejeta‐Fernández, Rodrigo González‐Prieto, Felipe Gándara, Romualdo Santos Silva Jr, Pilar Ferrer, Carlos Prieto, Luc Lajaunie, José Luis Martinez‐Peña, María Luisa Ruiz‐González, José María González‐Calbet   +14 more
wiley   +1 more source

Intelligent Acousto‐Electrical Metamaterials (IAM) for Sound Source Detection

Advanced Materials, EarlyView.
Our proposed metamaterial concept enables sound source detection using a single material, in contrast to conventional arrays that require dozens or even hundreds of transducers. We show that the coupled acoustic–vibrational–electrical responses in piezoelectric metamaterials give rise to topology‐governed charge transport, producing distinct voltage ...
Victor Couëdel, Haotian Lu, Jiayan Zhang, Desheng Yao, Ananya Bhardwaj, Ramiro Contreras, Karim Sabra, Xiaoyu (Rayne) Zheng   +7 more
wiley   +1 more source