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 X. HUANG
Total Records ( 4 ) for X. HUANG
  X. SHI , P. ZHUANG , L. ZHANG , L. CHEN , B. XU , G. FENG and X. HUANG
  This study tested the hypothesis that different starvation time for fish before blood sampling can influence the result of plasma biochemical analysis. Glucose (GLU), total cholesterol (CHOL), triglyceride (TGL) and total protein (TP) in the plasma of juvenile Amur sturgeon (Acipenser schrenckii) were measured after different starvation duration (0, 0.5, 1, 2 and 3 days). Starvation time had a significant influence on plasma GLU, CHOL, TGL and TP concentrations (P < 0.05). Plasma GLU and TP concentrations were unpredictably variable with duration of starvation. Plasma TGL and CHOL concentrations after 3 days starvation were significantly higher than that in fish starved for 0, 0.5, or 1 day, and no significant difference was found among fish starved for 0, 0.5, or 1 day. In order to get baseline value for these blood parameters, juvenile Amur sturgeon should be starved for 1 day.
  J. Zhou and X. Huang
  In this study, the nonlinear fault detection and isolation (FDI) scheme is successfully applied to the aerocraft’s nonlinear closed-loop control system, which is established by using the dynamic inversion theory. The nonlinear FDI scheme consists of a bank of nonlinear adaptive estimators. One of them is the fault detection and approximation estimator, whereas the others are used for fault isolation (each associated with a specific type of fault). A type of fault that has occurred can be isolated if the residual associated with the matched isolation estimator remains below its corresponding adaptive threshold and at least one of the components of the residuals associated with all the other estimators exceeds its threshold at some finite time. The simulation results show the effectiveness of the application.
  H.C. Zheng , Y.Q. Jiang , Y.M. Wu , Z.L. Hu , X. Huang , J.K. Wang and J.X. Liu
  This study was conducted to evaluate the effects of Baihu Decoction-Based Powder (BDP) on lactation performance, thermal status and immune traits in lactating dairy cows during hot season. Twenty mid-lactating cows divided into two groups were fed the same basal diet and added without or with 120 g of BDP. Addition of BDP had no effect on dry matter intake and milk yield but significantly increased milk fat percent. Rectal temperature did not change in cows fed BDP while respiration rate and heart rate were significantly increased by BDP. No significant differences were found in the peripheral blood rheology and whole hemacyte indexes between two treatments. Concentration of plasma cGMP was significantly improved by BDP while the cAMP and its ratio to cGMP did not change. Addition of BDP tended to decrease IL-1β concentration but no differences were observed in IL-6 and prostaglandin E2 assay between two treatments. It is indicated that BDP could alleviate the negative effects of environment-induced hyperthermia on lactating cows.
  Y.H. Zhao , S. Fang , X.F. Wang and X. Huang
  Based on the remote sensing images of Landsat Thematic Mapper (TM), China-Brazil Earth Resources Satellite (CBERS) and Environment and Disaster Monitoring and Forecasting (SSMFDE), this study analyzed the landscape characteristics and spatial pattern of Xi’an City, predicted its future landscape changes and proposed data conversion methods for the landscape pattern prediction. These analyses were by the ENVI, ARCGIS and IDRISI software. The results showed that the study area had a composite landscape matrix consisted of woodland and farmland from 2000 to 2020. The areas of the farmland and grassland will continue to decrease and those of the woodland, construction land, waters and unused land will increase until 2020. The vegetation coverage in the study area would remain high in 2020, corresponding to an excellent ecological environment that would not restrict social and economic development. The difference causes between the simulated landscape pattern with CA-Markov model and the interpreted landscape pattern from remote sensing images were discussed. A major issue needed to be improved for the CA-Markov model was proposed. The data processing and simulating procedures used in this study may significantly streamline the workload and boost efficiency.
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility