Results 61 to 70 of about 103,221 (295)

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

Modelling, reduction and analysis of Markov automata (extended version) [PDF]

, 2013
Markov automata (MA) constitute an expressive continuous-time compositional modelling formalism. They appear as semantic backbones for engineering frameworks including dynamic fault trees, Generalised Stochastic Petri Nets, and AADL.
Guck, Dennis, Hatefi, Hassan, Hermanns, Holger, Katoen, Joost-Pieter, Timmer, Mark   +4 more
core   +2 more sources

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

Model-based dependability analysis : state-of-the-art, challenges and future outlook [PDF]

, 2015
: Over the past two decades, the study of model-based dependability analysis has gathered significant research interest. Different approaches have been developed to automate and address various limitations of classical dependability techniques to contend
Kabir, Sohag, Papadopoulos, Yiannis, Sharvia, Septavera, Walker, Martin   +3 more
core   +2 more sources

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

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

Real-time fault detection and classification dataset for power systems: An IEEE 5-bus case study

Results in Engineering
Power system faults are crucial to detect to ensure power systems' reliable and stable operation under dynamic and fault conditions. While achieving high accuracy, existing datasets and frameworks don’t allow for real-time use and don’t consider all the ...
Priyanka Khirwadkar Shukla, Deepa K, Soumya Reddy, Mohan Kolhe   +3 more
doaj   +1 more source

Dynamic Fault Tolerance with Misrouting in Fat Trees [PDF]

2006 International Conference on Parallel Processing (ICPP'06), 2006
Fault tolerance is critical for efficient utilisation of large computer systems. Dynamic fault tolerance allows the network to remain available through the occurance of faults as opposed to static fault tolerance which requires the network to be halted to reconfigure it.
F.O. Sem-Jacobsen, T. Skeie, O. Lysne, J. Duato   +3 more
openaire   +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

AI-driven diagnosis and health management of autonomous electric vehicle powertrains: An empirical data-driven approach

Results in Engineering
The reliability and operational continuity of electric vehicle (EV) powertrains critically depend on the health of traction motors, which are subject to dynamic loading conditions and mechanical degradation.
Hicham El hadraoui, Adila El maghraoui, Oussama Laayati, Erroumayssae Sabani, Mourad Zegrari, Ahmed Chebak   +5 more
doaj   +1 more source