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Gui G.-F.,Southwest University | Gui G.-F.,Bijie University | Zhuo Y.,Southwest University | Chai Y.-Q.,Southwest University | And 2 more authors.
Analytical Chemistry | Year: 2014

This work described a new electrogenerated chemiluminescence (ECL) aptasensor for ultrasensitive detection of thrombin (TB) based on the in situ generating self-enhanced luminophore by β-lactamase catalysis for signal amplification. Briefly, a ruthenium complex (Ru-Amp), including two regions of [Ru(phen)2(cpaphen)]2+ and ampicillin (Amp), was synthesized as a self-enhanced ECL luminophore, which can produce an ECL signal through intramolecular interactions. Then, carbon nanotubes (CNTs) were used for immobilization of Ru-Amp via π-π stacking interactions to form the Ru-Amp@CNTs nanocomposite. Using poly(ethylenimine) (PEI) as a linkage reagent, Au nanocages (AuNCs), owing to their electronic property and large surface areas, were decorated to the CNTs to form the Ru-Amp@CNTs-PEI-AuNCs nanocomposites, which were further used to immobilize thrombin binding aptamer II (TBA II) to form a signal probe (Ru-Amp@CNTs-PEI-AuNCs-TBA II). Through "sandwich" tactics, TBA II bioconjugates, TB and TBA I were immobilized onto the gold nanoparticles modified electrode. Then, with the enzyme catalysis of β-lactamase, a novel self-enhanced ECL luminophore (Ru-AmpA) was in situ produced, which could exhibit a significant enhancement of ECL signal, due to the structure transformation of an amide bond into a secondary amine. A sandwich ECL assay for TB detection was developed with excellent sensitivity of a concentration variation from 1.0 fM to 1.0 pM and a detection limit of 0.33 fM. Therefore, the self-enhanced ECL luminophore, combining the further enhancement by in situ enzymatic reaction, is expected to have potential applications in biotechnology and clinical diagnosis. © 2014 American Chemical Society.


Yang J.-Y.,Nanyang Technological University | Peng Z.-L.,Bijie University | Chen X.,Nanyang Technological University
BMC Bioinformatics | Year: 2010

Background: Prediction of protein structural classes (α, β, α + β and α/β) from amino acid sequences is of great importance, as it is beneficial to study protein function, regulation and interactions. Many methods have been developed for high-homology protein sequences, and the prediction accuracies can achieve up to 90%. However, for low-homology sequences whose average pairwise sequence identity lies between 20% and 40%, they perform relatively poorly, yielding the prediction accuracy often below 60%.Results: We propose a new method to predict protein structural classes on the basis of features extracted from the predicted secondary structures of proteins rather than directly from their amino acid sequences. It first uses PSIPRED to predict the secondary structure for each protein sequence. Then, the chaos game representation is employed to represent the predicted secondary structure as two time series, from which we generate a comprehensive set of 24 features using recurrence quantification analysis, K-string based information entropy and segment-based analysis. The resulting feature vectors are finally fed into a simple yet powerful Fisher's discriminant algorithm for the prediction of protein structural classes. We tested the proposed method on three benchmark datasets in low homology and achieved the overall prediction accuracies of 82.9%, 83.1% and 81.3%, respectively. Comparisons with ten existing methods showed that our method consistently performs better for all the tested datasets and the overall accuracy improvements range from 2.3% to 27.5%. A web server that implements the proposed method is freely available at http://www1.spms.ntu.edu.sg/~chenxin/RKS_PPSC/.Conclusion: The high prediction accuracy achieved by our proposed method is attributed to the design of a comprehensive feature set on the predicted secondary structure sequences, which is capable of characterizing the sequence order information, local interactions of the secondary structural elements, and spacial arrangements of α helices and β strands. Thus, it is a valuable method to predict protein structural classes particularly for low-homology amino acid sequences. © 2010 Yang et al; licensee BioMed Central Ltd.


Sun J.,Bijie University
Applied Mechanics and Materials | Year: 2014

The construction of object 3-dimensional image is the thinking base of machine learning, it is important to machine recognize the outside world. The current algorithms of object 3-dimensional image construction are mainly based on the least squares method (LSM) in linear or nonlinear models, all of them existed some defects and deficiencies. The paper introduced the construction principle of 3-dimensional image by support vector machine, then the algorithm and step was put forward, as well as the key code in the Matlab7.4. © (2014) Trans Tech Publications, Switzerland.


Liu Y.,Bijie University
Journal of Applied Optics | Year: 2014

The complex amplitude distribution of diffraction light was analyzed by stationary phase integral method, when the point light source was passing through the system composed of two parallel placed transmission gratings with finite width. When the bi-grating imaging condition was satisfied, the comparison between the diffraction image of finite-width bi-grating and that of infinitely wide bi-grating was conducted. It is concluded that the position of bi-grating diffraction image has no effects from the finite-width grating; however, the size of diffraction image is affected by the relative distance and diffraction orders between two gratings. The size of diffraction image was calculated, which was enlarged by 1.22 times, when the condition of bi-grating imaging and some experimental parameters were satisfied. Furthermore, the study on the color of white light ordinary transmission hologram was done based on its principles.


In this paper, a new maximal element theorem is established in product GFC-spaces. As application, a new existence theorem of solutions for systems of generalized mixed vector quasiequilibrium problems is obtained. © (2013) Trans Tech Publications, Switzerland.


Sun J.,Bijie University
Applied Mechanics and Materials | Year: 2014

Background difference method[1] is one of the effective paths of improving robot’s vision reaction ability, and robots use background difference method to find the moving object in vision range and conduct tracking monitoring of moving objects. Then it uses support vector to conduct learning fitting of moving object, which can effectively predict the moving trend of moving object, and then it fabricates corresponding decision programs to conduct intercept capture of moving objects. © (2014) Trans Tech Publications, Switzerland.


Wen K.-T.,Bijie University | Li H.-R.,Bijie University
Advanced Materials Research | Year: 2013

In this paper, a matching theorem for weakly transfer compactly open valued mappings is established in GFC-spaces. As applications, a fixed point theorem, a minimax inequality and a saddle point theorem are obtained in GFC-spaces. Our results unify, improve and generalize some known results in recent reference. © (2013) Trans Tech Publications, Switzerland.


The equilibrium problem includes many fundamental mathematical problems, e.g., optimization problems, saddle point problems, fixed point problems, economics problems, complementarity problems, variational inequality problems, mechanics, engineering, and others as special cases. In this paper, properties of the solution set for generalized equilibrium problems with lower and upper bounds in FC-metric spaces are studied. In noncompact setting, we obtain that the solution set for generalized equilibrium problems with lower and upper bounds is nonempty and compact. Our results improve and generalize some recent results in the reference therein. © (2013) Trans Tech Publications, Switzerland.


Liu Y.-C.,Bijie University
Yantu Lixue/Rock and Soil Mechanics | Year: 2013

Studying the dynamic process of the occurrence and development of ground surface subsidence disaster due to underground mining has important theoretical significance and engineering application value. Because of the complexity of the overlying strata and coal mining process, it is difficult to comprehensive study the strata movement and surface subsidence in the mining process. So, research the subsidence of surface observation spot is a starting point to study the dynamic surface subsidence in the coal mining process. It is discovered that the Weibull function can more accurately to fit and describe the subsidence curves of the observing spots in mining subsidence area through the study of subsidence time series of surface subsidence observing Points. It is discovered that the sinking processes of the subsidence observing Points in same subsidence area are independent in space and time through the study of the simulation of mining by the numerical analysis software FLAC3D. On this basic, the phenomenological model of the subsidence, curvature and slope curve of the section on subsidence area is established through combining the probability integral settlement curve model and the Weibull time sequence function of the surface subsidence of the observing points. Some mining area observation data proved this modeling and model is feasible.


Zhang Q.R.,Bijie University
Advanced Materials Research | Year: 2014

In this paper, we propose a new face recognition approach for image feature extraction named two-dimensional parameter principal component analysis (2DPPCA). Two-dimensional principal component analysis (2DPCA) is widely used in face recognition. We further study on the basis of 2DPCA. This proposed method is to add a parameter to images samples matrix in the image covariance matrix. Extensive experiments are performed on FERET face database and CMU PIE face database. The 2DPPCA method achieves better face recognition performance than PCA, 2DPCA, especially on the CMU PIE face database. © (2014) Trans Tech Publications, Switzerland.

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