Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
Articles by Hui Xu
Total Records ( 4 ) for Hui Xu
  Hongwei Chen , Hui Xu , Chunzhi Wang and Ke Zhou
  Due to node’s behavioral analysis, grasping the inertia psychology of its behavior choice and considering whole influences of the network such as group selection, this study establishes the forecast mechanism in P2P network. In the process of network running and node communication, this mechanism carries on real-time surveillance to all nodes, according to the differences of network states and takes the corresponding incentive and penalty measure to the node, thus drives node well serve for the P2P network. This mechanism uses the Markov chain to forecast future development state of the network, combines the forecast of future node state shift situation and adopts more prompt and more effective measure to the network ahead of time. Summarizing the types of network state, each network state mechanism will have a correspond model which will carry on the drive to the node behavior.
  Minsheng Tan , Hui Xu , Lin Zeng and Shiying Xia
  In combination prediction of IP network traffic, the single model’s mathematical characteristic, prediction accuracy and weight coefficient have significant impact on combination prediction results. As the grey model can depict linearity characteristics of network traffic and the BP neural network model can depict the non-stationary and non-linear characteristics, a Fuzzy Self-Adaptive Variable-Weight Combination Prediction Model (FSVCPM) was composed of them. To improve the prediction accuracy of single model as far as possible, a improved residual grey prediction model was established via indexation processing of residual sequence. By training experiments, neuron number of input layer and hidden layer was identified and corresponding BP neural network was given. By introducing fuzzy decision mechanism and self-adaptive mechanism to calculate fuzzy weight and basic weight, FSVCPM was built and a determination method of variable-weight coefficient was addressed which can make single models to fit effectively. Experimental results validated the correctness and accuracy of the FSVCPM and proved the prediction precision was higher than that of the single model and the Constant-Weight Combination Prediction Model (CCPM).
  Wei Chen , Xiuqin Xu , Hui Xu , Ming Hong , Zhiyu Wang , Yongheng Shang , Dongdong Liu , Min Zhou , Zhengliang Huang and Faxin Yu
  This study presents the temporal Coupled-Mode Theory (CMT) analysis of a K-band MMIC (Microwave Monolithic Integrated Circuit) bandpass filter with dual orthogonal resonant modes. Two test methods are applied and compared in the filter response measurement. The dimensions of the MMIC filter, whose chip size is 1.9×1.35 mm, are optimized based on the FEM (Finite Element Method) simulation assisted temporal coupled-mode theory. As a two-port reciprocal system, the transmission and reflection responses of the filter are deduced. GaAs MMIC IPD (Integrated Passive Device) technology is applied for chip fabrication. The test results using a probe station fit well with the simulation results. A testing fixture is introduced to model the practical application scenario, whose measurement results, after de-embedment, have shown consistency with the simulation and the probe station test results.
  Holger Doege , Dirk Grimm , Alaric Falcon , Bernice Tsang , Theresa A. Storm , Hui Xu , Angelica M. Ortegon , Melissa Kazantzis , Mark A. Kay and Andreas Stahl
  Non-alcoholic fatty liver disease is a serious health problem linked to obesity and type 2 diabetes. To investigate the biological outcome and therapeutic potential of hepatic fatty acid uptake inhibition, we utilized an adeno-associated virus-mediated RNA interference technique to knock down the expression of hepatic fatty acid transport protein 5 in vivo prior to or after establishing non-alcoholic fatty liver disease in mice. Using this approach, we demonstrate here the ability to achieve specific, non-toxic, and persistent knockdown of fatty acid transport protein 5 in mouse livers from a single adeno-associated virus injection, resulting in a marked reduction of hepatic dietary fatty acid uptake, reduced caloric uptake, and concomitant protection from diet-induced non-alcoholic fatty liver disease. Importantly, knockdown of fatty acid transport protein 5 was also able to reverse already established non-alcoholic fatty liver disease, resulting in significantly improved whole-body glucose homeostasis. Thus, continued activity of hepatic fatty acid transport protein 5 is required to sustain caloric uptake and fatty acid flux into the liver during high fat feeding and may present a novel avenue for the treatment of non-alcoholic fatty liver disease.
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility