Inner Mongolia University of Technology
Hohhot, China

Inner Mongolia University of Technology is a university in Inner Mongolia, People's Republic of China, under the authority of the Autonomous Region government. It was founded in 1951 and was originally known as the Suiyuan Higher Technical School and then after 1958 the Inner Mongolia Polytechnic Institute before changing to its current name in 1993. It is located in north part of Hohhot, the capital city of Inner Mongolia Autonomous Region.The university has over 16,000 students enrolled. The university is primarily an Engineering school, although it has expanded to other fields including Economics and Law. There are 19 disciplines in which students can acquire a Master's Degree and 36 disciplines for undergraduate study. Wikipedia.

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Xia Y.,Inner Mongolia University of Technology
IOP Conference Series: Earth and Environmental Science | Year: 2017

Biomass crushing is precondition for utilization and transformation of biomass energy. Compressive strength of biomass raw materials is generally small with long fiber, and multiple crushing methods like shocking, shearing and grinding should be used to realize high-efficiency crushing. Based on this, this paper researched and developed a set of biomass fine crushing system, and conducted an optimized study of main parameters influencing crushing process - revolving speed, between blade and cutter head and material moisture content. Results indicated that this set of crushing system could complete fine crushing of biomass, particle size of crushed products was controlled below 250μm, crushing energy consumption was between 70 - 120kwh/t, both of which were mainly decided by material moisture content and operating parameters of crusher. Revolving speed of crusher was elevated, proportion of particles (d<106μm) with fine particle size in crushed products increased, and unit energy consumption of crushing increased; narrowing space between blade and cutter head could improve crushing effect of biomass, but unit energy consumption increased; the higher the moisture content was, the less the content of fine particles in crushed products would be, and the greater unit energy consumption would be. By comprehensive comparison, the optimal operating conditions for crushing were: revolving speed was 3600r/min, space between impulse blade and cutter head was 8mm, moisture content was 10.6%, energy consumption was 98kwh/t, product particle size distribution was: those with particle size below 106μm occupied 71.5% and those between 106μm - 250μm occupied 28.5%. © Published under licence by IOP Publishing Ltd.

Fan G.-L.,Inner Mongolia University of Technology | Li Q.-Z.,Inner Mongolia University of Technology
Journal of Theoretical Biology | Year: 2013

Bioluminescent proteins are highly sensitive optical reporters for imaging in live animals; they have been extensively used in analytical applications in intracellular monitoring, genetic regulation and detection, and immune and binding assays. In this work, we systematically analyzed the sequence and structure information of 199 bioluminescent and nonbioluminescent proteins, respectively. Based on the results, we presented a novel method called auto covariance of averaged chemical shift (acACS) for extracting structure features from a sequence. A classifier of support vector machine (SVM) fusing increment of diversity (ID) was used to distinguish bioluminescent proteins from nonbioluminescent proteins by combining dipeptide composition, reduced amino acid composition, evolutionary information, and acACS. The overall prediction accuracy evaluated by jackknife validation reached 82.16%. This result was better than that obtained by other existing methods. Improvement of the overall prediction accuracy reached up to 5.33% higher than those of the SVM and auto covariance of sequential evolution information by 10-fold cross-validation. The acACS algorithm also outperformed other feature extraction methods, indicating that our approach is better than other existing methods in the literature. © 2013 Elsevier Ltd.

Chen W.,Inner Mongolia University of Technology | Luo L.,Inner Mongolia University of Technology | Zhang L.,Inner Mongolia University of Technology
Nucleic Acids Research | Year: 2010

The occupancy of nucleosomes along chromosome is a key factor for gene regulation. However, except promoter regions, genome-wide properties and functions of nucleosome organization remain unclear in mammalian genomes. Using the computational model of Increment of Diversity with Quadratic Discriminant (IDQD) trained from the microarray data, the nucleosome occupancy score (NOScore) was defined and applied to splice junction regions of constitutive, cassette exon, alternative 30 and 50 splicing events in the human genome. We found an interesting relation between NOScore and RNA splicing: exon regions have higher NOScores compared with their flanking intron sequences in both constitutive and alternative splicing events, indicating the stronger nucleosome occupation potential of exon regions. In addition, NOScore valleys present at ~25 bp upstream of the acceptor site in all splicing events. By defining folding diversity-to-energy ratio to describe RNA structural flexibility, we demonstrated that primary RNA transcripts from nucleosome occupancy regions are relatively rigid and those from nucleosome depleted regions are relatively flexible. The negative correlation between nucleosome occupation/depletion of DNA sequence and structural flexibility/rigidity of its primary transcript around splice junctions may provide clues to the deeper understanding of the unexpected role for nucleosome organization in the regulation of RNA splicing. © The Author(s) 2010.

Fan G.-L.,Inner Mongolia University of Technology | Li Q.-Z.,Inner Mongolia University of Technology
Journal of Theoretical Biology | Year: 2012

Mycobacterium tuberculosis (MTB) is a pathogenic bacterial species in the genus Mycobacterium and the causative agent of most cases of tuberculosis (Berman et al., 2000). Knowledge of the localization of Mycobacterial protein may help unravel the normal function of this protein. Automated prediction of Mycobacterial protein subcellular localization is an important tool for genome annotation and drug discovery. In this work, a benchmark data set with 638 non-redundant mycobacterial proteins is constructed and an approach for predicting Mycobacterium subcellular localization is proposed by combining amino acid composition, dipeptide composition, reduced physicochemical property, evolutionary information, pseudo-average chemical shift. The overall prediction accuracy is 87.77% for Mycobacterial subcellular localizations and 85.03% for three membrane protein types in Integral membranes using the algorithm of increment of diversity combined with support vector machine. The performance of pseudo-average chemical shift is excellent. In order to check the performance of our method, the data set constructed by Rashid was also predicted and the accuracy of 98.12% was obtained. This indicates that our approach was better than other existing methods in literature. © 2012 Elsevier Ltd.

Luo L.,Inner Mongolia University of Technology
Science China: Physics, Mechanics and Astronomy | Year: 2014

The conformational change of biological macromolecule is investigated from the point of quantum transition. A quantum theory on protein folding is proposed. Compared with other dynamical variables such as mobile electrons, chemical bonds and stretching-bending vibrations the molecular torsion has the lowest energy and can be looked as the slow variable of the system. Simultaneously, from the multi-minima property of torsion potential the local conformational states are well defined. Following the idea that the slow variables slave the fast ones and using the nonadiabaticity operator method we deduce the Hamiltonian describing conformational change. It is shown that the influence of fast variables on the macromolecule can fully be taken into account through a phase transformation of slow variable wave function. Starting from the conformation-transition Hamiltonian the nonradiative matrix element was calculated and a general formulas for protein folding rate was deduced. The analytical form of the formula was utilized to study the temperature dependence of protein folding rate and the curious non-Arrhenius temperature relation was interpreted. By using temperature dependence data the multi-torsion correlation was studied. The decoherence time of quantum torsion state is estimated. The proposed folding rate formula gives a unifying approach for the study of a large class problems of biological conformational change. © 2014 Science China Press and Springer-Verlag Berlin Heidelberg.

Fan G.-L.,Inner Mongolia University of Technology | Li Q.-Z.,Inner Mongolia University of Technology
Amino Acids | Year: 2012

Knowledge of the submitochondria location of protein is integral to understanding its function and a necessity in the proteomics era. In this work a new submitochondria data set is constructed, and an approach for predicting protein submitochondria locations is proposed by combining the amino acid composition, dipeptide composition, reduced physicochemical properties, gene ontology, evolutionary information, and pseudo-average chemical shift. The overall prediction accuracy is 93.57% for the submitochondria location and 97.79% for the three membrane protein types in the mitochondria inner membrane using the algorithm of the increment of diversity combined with the support vector machine. The performance of the pseudo-average chemical shift is excellent. For contrast, the method is also used to predict submitochondria locations in the data set constructed by Du and Li; an accuracy of 94.95% is obtained by our method, which is better than that of other existing methods. © Springer-Verlag 2011.

Luo L.,Inner Mongolia University of Technology
Frontiers of Physics in China | Year: 2011

Assuming that the main variables in the life processes at the molecular level are the conformation of biological macromolecules and their frontier electrons a formalism of quantum theory on conformation-electron system is proposed. Based on the quantum theory of conformation-electron system, the protein folding is regarded as a quantum transition between torsion states on polypeptide chain, and the folding rate is calculated by nonadiabatic operator method. The rate calculation is generalized to the case of frequency variation in folding. An analytical form of protein folding rate formula is obtained, which can be served as a useful tool for further studying protein folding. The application of the rate theory to explain the protein folding experiments is briefly summarized. It includes the inertial moment dependence of folding rate, the unified description of two-state and multistate protein folding, the relationship of folding and unfolding rates versus denaturant concentration, the distinction between exergonic and endergonic foldings, the ultrafast and the downhill folding viewed from quantum folding theory, and, finally, the temperature dependence of folding rate and the interpretation of its non-Arrhenius behaviors. All these studies support the view that the protein folding is essentially a quantum transition between conformational states. © 2011 Higher Education Press and Springer-Verlag Berlin Heidelberg.

Zhang L.,Inner Mongolia University of Technology
Energy Procedia | Year: 2012

According to theoretical calculating result of stress, four different lay-up structures of 1.2MW horizontal axis wind turbine blade, which can effectively endure various loads, are designed primarily. Based on composite laminate theory and finite element method, through analyzing their stress-strain, the optimal lay-up schema is confirmed. The verified analysis of stiffness and strength were performed under extreme load conditions. Numerical analysis results show that the designed blade structure was safe, and the value of stress and strain was low. © 2011 Published by Elsevier Ltd.

Chen W.,Inner Mongolia University of Technology | Liu J.,Inner Mongolia University of Technology
Desalination | Year: 2012

The significant improvements of membrane technology in reliability and cost effectiveness have increased the reuse probability and recycling extent of dairy wastewater. However, membrane fouling still remains a major bottleneck in wide application. In order to solve the problem, this paper investigated the possibility and applicability of coagulation-membrane bioreactor (MBR) hybrid system in reclaiming dairy wastewater. A comparative experiment based on the removal efficiencies and the membrane performance was designed to achieve the purpose. The results showed that polyaluminium chloride as the appropriate coagulant in coagulation process was effective for turbidity removal. Coagulation process played a very important role in stabilizing the effluent of MBR and the level of transmembrane pressure. MBR was a crucial process in turbidity and aluminum removal. MBR had the capability to resist shock loading and to maintain the high COD removal. Biological flocs in MBR could improve the fouling level of membrane. The hybrid system reduced 98% COD from the original and COD value of the wastewater came down to 8. mg/L. The combination of coagulation with MBR presents the possibility and applicability to reclaim effluent in dairy industries. © 2011 Elsevier B.V.

Lu J.,Inner Mongolia University of Technology
PLoS ONE | Year: 2013

In sample surveys, it is usual to make use of auxiliary information to increase the precision of the estimators. We propose a new chain ratio estimator and regression estimator of a finite population mean using linear combination of two auxiliary variables and obtain the mean squared error (MSE) equations for the proposed estimators. We find theoretical conditions that make proposed estimators more efficient than the traditional multivariate ratio estimator and the regression estimator using information of two auxiliary variables. © 2013 Jingli Lu.

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