Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Hanxi Zhu"'
Publikováno v:
Modelling and Simulation in Engineering, Vol 2024 (2024)
The pore structure of the modified foam gypsum and its thermal insulation performance were revealed through the integrated study of microscopic, macroscopic, and simulation. Scanning electron microscope (SEM) was used to observe the process of coexis
Externí odkaz:
https://doaj.org/article/0afba475771b46978ca096b53b81c3fe
Publikováno v:
Daxue Huaxue. :2207097
Autor:
Danielle Pretorius, Jianyi Zhang, Chengming Fan, Xi Lou, Patrick Ernst, Asher Kahn-Krell, Lufang Zhou, Wuqiang Zhu, Meng Zhao, Hanxi Zhu, Yawen Tang
Publikováno v:
J Vis Exp
A crucial factor in improving cellular therapy effectiveness for myocardial regeneration is to safely and efficiently increase the cell engraftment rate. Y-27632 is a highly potent inhibitor of Rho-associated, coiled-coil-containing protein kinase (R
Autor:
Yasin Oduk, Anton V. Borovjagin, Lufang Zhou, Meng Zhao, Hanxi Zhu, Saidulu Mattapally, Chengming Fan, Jianyi Zhang, Patrick Ernst, Wuqiang Zhu, Yawen Tang
Publikováno v:
Cardiovascular research. 115(2)
AIMS : The effectiveness of cell-based treatments for regenerative myocardial therapy is limited by low rates of cell engraftment. Y-27632 inhibits Rho-associated protein kinase (ROCK), which regulates the cytoskeletal changes associated with cell ad
Publikováno v:
Artificial Life and Robotics. 8:168-173
Prediction of protein secondary structure is considered to be an important step toward elucidating the three-dimensional structure and function of proteins. We have developed a multimodal neural network (MNN) to predict protein secondary structure. T
Publikováno v:
Artificial Life and Robotics. 5:148-151
It is well known that information processing in the brain depends on neuron systems. Simple neuron systems are neural networks, and their learning methods have been studied. However, we believe that research on large-scale neural network systems is s
Publikováno v:
IJCNN (4)
We discuss a general method to forecast movements of the chaos. The method is based on functions of multi layer neural networks and a recurrent representation of functions. We are sure that forecasting of the chaos is an important problem. Movements
Publikováno v:
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges & Perspectives for the New Millennium; 2000, p467-467, 1p
Conference
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