Ning Xia University
Ning Xia University
Shi J.,Shanghai JiaoTong University |
Shi J.,Ning Xia University |
Tan H.,Shanghai JiaoTong University |
Yu X.-H.,Brookhaven National Laboratory |
And 12 more authors.
Plant Cell | Year: 2011
Aliphatic alcohols naturally exist in many organisms as important cellular components; however, their roles in extracellular polymer biosynthesis are poorly defined. We report here the isolation and characterization of a rice (Oryza sativa) male-sterile mutant, defective pollen wall (dpw), which displays defective anther development and degenerated pollen grains with an irregular exine. Chemical analysis revealed that dpw anthers had a dramatic reduction in cutin monomers and an altered composition of cuticular wax, as well as soluble fatty acids and alcohols. Using map-based cloning, we identified the DPW gene, which is expressed in both tapetal cells and microspores during anther development. Biochemical analysis of the recombinant DPW enzyme shows that it is a novel fatty acid reductase that produces 1-hexadecanol and exhibits >270-fold higher specificity for palmiltoyl-acyl carrier protein than for C16:0 CoA substrates. DPW was predominantly targeted to plastids mediated by its N-terminal transit peptide. Moreover, we demonstrate that the monocot DPW from rice complements the dicot Arabidopsis thaliana male sterile2 (ms2) mutant and is the probable ortholog of MS2. These data suggest that DPWs participate in a conserved step in primary fatty alcohol synthesis for anther cuticle and pollen sporopollenin biosynthesis in monocots and dicots. © 2011 American Society of Plant Biologists. All rights reserved.
Chang P.,Beifang University of Nationalities |
Zhu J.,Ning Xia University
Advanced Materials Research | Year: 2013
This study focus on derivation of such fragility curves using conventional industrial frames with masonry infill wall. A set of stochastic earthquake waves compatible with the response spectrum of China seismic code selected to represent the variability in ground motion. Dynamic inelastic time history analysis was used to analyze the random sample of structures. Industrial structural seismic capability of longitudinal and transversal orientation is different. Stochastic damage scatter diagrams based different seismic intensity index are obtained. Seismic fragility of longitudinal axis (X axis) is larger than transversal axis (Y axis) of frames under major earthquake obviously. © (2013) Trans Tech Publications, Switzerland.
Chang P.J.,Beifang University of Nationalities |
Zhu J.,Ning Xia University
Applied Mechanics and Materials | Year: 2013
This study focuses on obtaining such damage probability curves based on representative Inter-layer seismic isolation buildings (ILSIB) in China metropolis using whole spectral indicator. 30 corrected random earthquake waves are selected to represent the variability in ground motion. Dynamic time history analysis is used to analyze the random sample of structures. Random damage scatter diagrams based on different spectral indexes are all achieved. Index of damage probability based Sd indicator is most precise in all the spectral indexes because of the least coefficient of variation. Fragility in Y axis is more serious than in X axis through careful analysis. © (2013) Trans Tech Publications, Switzerland.
Zhu J.,Ning Xia University |
Tan P.,Guangzhou University
Advanced Materials Research | Year: 2012
This study focus on derivation of such fragility curves using conventional old reinforced concrete (RC) frames with Mild Steel Damper (MSD) of flexural energy dissipation braces. A set of stochastic earthquake waves compatible with the response spectrum of China seismic code selected to represent the variability in ground motion. Dynamic inelastic time history analysis was used to analyze the random sample of structures. Weak position was be pointed out, The result reveal that excellent reduction effect for structure of MSD is favorable and obvious under major earthquake.
Gao L.,Chinese Ministry of Water Resources |
Gao L.,University of Chinese Academy of Sciences |
Shao M.,CAS Beijing Institute of Geographic Sciences and Nature Resources Research |
Wang Y.,Ning Xia University
Journal of Soils and Sediments | Year: 2012
Purpose: Soil saturated hydraulic conductivity (KS) is a key variable in hydrologic processes, the parameters of which have strong scale-dependency. Knowing the scaling dependency of KS is important when designing an appropriate sampling strategy. Materials and methods: Determinations of KS were made for 4,865 undisturbed soil samples, collected from a grid with cells of 10 × 10 m in the Daye watershed (50 ha) on the Loess Plateau, China. The dataset was "re-sampled" to investigate the effect on KS of scales that differed by two orders of magnitude in terms of spacing and support, and eight scales of extent. The variance, correlation length, and nugget-sill ratio derived by analysis of the full dataset were taken to be the true values. Apparent values of variance, correlation length, and nugget-sill ratio were those calculated for each re-sampled data sub-set. Results and discussion: Comparing the parameter values at different scales showed that apparent variance increased with increasing extent (p < 0.01), decreased with increasing support (p < 0.01), but was not significantly affected by spacing (p = 0.137). Apparent correlation length increased with increasing extent and support (p < 0.01). As spacing increased below 1.1 times the true correlation length (i. e., below 80 m), the apparent correlation length decreased slightly but, as spacing increased above 80 m, it notably increased. Apparent nugget-sill ratio decreased with increasing spacing and support (p < 0.01), and increased with increasing extent (p < 0.01). The scaling dependency for KS was in the order of extent > support > spacing for all three parameters, with mean coefficient of determination values of 0.96, 0.88, and 0.53, respectively. Conclusions: The statistical properties investigated for KS were found to be scaling-dependent, which would benefit sampling strategy design. © 2012 Springer-Verlag.
Ping J.,Ning Xia University |
Zhiyi D.,Ning Xia University
Sensors and Transducers | Year: 2013
We have collected Table Tennis Training data by sensor System to improve training level. Table Tennis Sensor System analytical methods must be better designed, including definitions, analysis principles, and Information Fusion to avoid inconsistent vocabulary and potentially incorrect interpretation of training data. A continuing problem for Information Fusion of Table Tennis Sensor (TTS) is to develop efficient information unit. Many experts see information fusion as an important solution. The quality of TTS information fusion include establishing and maintaining a database of Table Tennis training information, searching for applicable information to be fused in a design, as well as adapting information toward a proper structure. In this paper, a new Data Vector Model (DVM) method is suggested here for training data classification and fusion of Table Tennis training data. We found that this new method gives a higher accuracy in training data selection and fusion process of TTS compared to the existing formal methods. We can improve the level of Table Tennis training by this method. © 2013 IFSA.
He T.,Ning xia University
Chinese Control Conference, CCC | Year: 2012
In the light of literature, the paper analyzed the current situation and found the existed problem. Based on the above discussion, the paper put forward the strengths and weaknesses of 3 recovery modes of end-of-life vehicles, which is M, TP and MP, and then focused on the selection of end-of-life vehicles recovery modes for automotive manufacturers. The paper established evaluation index system and models for the selection of end-of-life vehicles recovery modes from 4 dimensions (finance, business procedure, learning and innovation, customer) by analytic network process (ANP) approach. Finally, the proposed approach is validated by one numerical example and gets a satisfactory result. It provides a new way for automotive manufacturers to select recovery modes in reverse logistics. © 2012 Chinese Assoc of Automati.
Guo Z.-H.,Ning Xia University |
Wang L.,Ning Xia University |
Jin L.,Ning Xia University |
Zheng C.-Y.,Ning Xia University
Guangdianzi Jiguang/Journal of Optoelectronics Laser | Year: 2013
The contents of protein and fat in dairy products are determined quickly by the near infrared transmittance spectroscopy (NITS). The spectroscopies are preprocessed by the two mixed methods: the second derivative adding S-G smoothing (SD+S-G) and the first derivative adding multiplicative scatter correction adding S-G smoothing (FD+MSC+S-G), respectively, and thenthe processed spectroscopic data are compressed by the wavelet with function db3 and compression level 6. The quantitative analysis models of protein and fat in the four dairy products are established by radial basis function artificial neural network (RBF-ANN) using the compressed spectroscopy data as the input variables. The best spread value is obtained by repeated experiment. When the spread is 135, the prediction accuracy of protein is the highest and the correlation coefficient and mean square error are 0.9999 and 0.0301, respectively. In the same way, when the spread is 105, the prediction accuracy of fat is the highest and the correlation coefficient and mean square error are 0.9997 and 0.0968, respectively. The results show that the model based on RBF-ANN combined with wavelet is more stable and with a higher accuracy. It could be used to test the qualities of dairy products quickly and destructively.
Ji P.,Ning Xia University |
Ding Z.,Ning Xia University
Journal of Theoretical and Applied Information Technology | Year: 2013
A continuing challenge for Integration Information of Table Tennis Training (TTT) is to develop efficient data unit component part. Many see data unit integration as a potential solution; however, the quality of data integration of Table Tennis Training tends to outweigh the potential benefits. The quality of TTT data unit integration include establishing and maintaining a data warehouse of Table Tennis Training data unit, searching for applicable data unit to be integrated in a design, as well as adapting data unit toward a proper structure. In this paper, a new Data Feature Model (DFM) method is suggested here for data classification and integration of TTT which consists of K-Shortest Path (KSP) algorithm and Data Feature Model Method. We found that this new method gives a higher accuracy and precision in data selection and integration process of TTT compared to the existing formal methods. © 2005 - 2013 JATIT & LLS. All rights reserved.
Ping J.,Ning Xia University
Advanced Materials Research | Year: 2011
In Table Tennis match information processing, Match Information needs processing through Web service, The corresponding concepts need to be published and shared by the semantic web, the Web Service description language (WSDL) has become a XML recommendation to publish and share concepts on the semantic web. In order to derive hidden information of Table Tennis information concept. In this paper, we propose an reinforced method of optimizing the Table Tennis information process of concept reasoning. Our work focuses on one key aspects: we describe classical methods for Table Tennis information concepts category. it is important to ensure that the category process uses the smallest number of tests. Therefore, we consider reinforced method and evaluate their effect on four different types of test concept. © 2011 Trans Tech Publications, Switzerland.