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Su J.-F.,Tianjin Polytechnic University | Yang P.,Guangzhou Maritime Institute | Wang Y.-Y.,Tianjin Polytechnic University | Han S.,Tianjin Polytechnic University | And 2 more authors.
Materials | Year: 2016

The aim of this work was to evaluate the self-healing behaviors of bitumen using microcapsules containing rejuvenator by a modified fracture healing-refracture method through a repetitive tension test. Microcapsules had mean size values of 10, 20 and 30 μm with a same core/shell ratio of 1/1. Various microcapsules/bitumen samples were fabricated with microcapsule contents of 1.0, 3.0 and 5.0 wt. %, respectively. Tension strength values of microcapsules/bitumen samples were measured by a reparative fracture-healing process under different temperatures. It was found that these samples had tensile strength values larger than the data of pure bitumen samples under the same conditions after the four tensile fracture-healing cycles. Fracture morphology investigation and mechanism analysis indicated that the self-healing process was a process consisting of microcapsules being broken, penetrated and diffused. Moreover, the crack healing of bitumen can be considered as a viscosity driven process. The self-healing ability partly repaired the damage of bitumen during service life by comparing the properties of virgin and rejuvenated bitumen.


Zhang S.-B.,Guangzhou Maritime Institute | Lai J.-H.,Sun Yat Sen University
Gene | Year: 2016

Measuring the similarity between pairs of biological entities is important in molecular biology. The introduction of Gene Ontology (GO) provides us with a promising approach to quantifying the semantic similarity between two genes or gene products. This kind of similarity measure is closely associated with the GO terms annotated to biological entities under consideration and the structure of the GO graph. However, previous works in this field mainly focused on the upper part of the graph, and seldom concerned about the lower part. In this study, we aim to explore information from the lower part of the GO graph for better semantic similarity. We proposed a framework to quantify the similarity measure beneath a term pair, which takes into account both the information two ancestral terms share and the probability that they co-occur with their common descendants. The effectiveness of our approach was evaluated against seven typical measurements on public platform CESSM, protein-protein interaction and gene expression datasets. Experimental results consistently show that the similarity derived from the lower part contributes to better semantic similarity measure. The promising features of our approach are the following: (1) it provides a mirror model to characterize the information two ancestral terms share with respect to their common descendant; (2) it quantifies the probability that two terms co-occur with their common descendant in an efficient way; and (3) our framework can effectively capture the similarity measure beneath two terms, which can serve as an add-on to improve traditional semantic similarity measure between two GO terms. The algorithm was implemented in Matlab and is freely available from http://ejl.org.cn/bio/GOBeneath/. © 2016 Elsevier B.V.


Zhang S.-B.,Guangzhou Maritime Institute | Tang Q.-R.,Guangzhou Marine Institute
Computational Biology and Chemistry | Year: 2016

Predicting the location where a protein resides within a cell is important in cell biology. Computational approaches to this issue have attracted more and more attentions from the community of biomedicine. Among the protein features used to predict the subcellular localization of proteins, the feature derived from Gene Ontology (GO) has been shown to be superior to others. However, most of the sights in this field are set on the presence or absence of some predefined GO terms. We proposed a method to derive information from the intrinsic structure of the GO graph. The feature vector was constructed with each element in it representing the information content of the GO term annotating to a protein investigated, and the support vector machines was used as classifier to test our extracted features. Evaluation experiments were conducted on three protein datasets and the results show that our method can enhance eukaryotic and human subcellular location prediction accuracy by up to 1.1% better than previous studies that also used GO-based features. Especially in the scenario where the cellular component annotation is absent, our method can achieved satisfied results with an overall accuracy of more than 87%. © 2016 Elsevier Ltd


Zhang S.-B.,Guangzhou Maritime Institute | Tang Q.-R.,Guangzhou Marine Institute
Journal of Theoretical Biology | Year: 2016

Identifying protein-protein interactions is important in molecular biology. Experimental methods to this issue have their limitations, and computational approaches have attracted more and more attentions from the biological community. The semantic similarity derived from the Gene Ontology (GO) annotation has been regarded as one of the most powerful indicators for protein interaction. However, conventional methods based on GO similarity fail to take advantage of the specificity of GO terms in the ontology graph. We proposed a GO-based method to predict protein-protein interaction by integrating different kinds of similarity measures derived from the intrinsic structure of GO graph. We extended five existing methods to derive the semantic similarity measures from the descending part of two GO terms in the GO graph, then adopted a feature integration strategy to combines both the ascending and the descending similarity scores derived from the three sub-ontologies to construct various kinds of features to characterize each protein pair. Support vector machines (SVM) were employed as discriminate classifiers, and five-fold cross validation experiments were conducted on both human and yeast protein-protein interaction datasets to evaluate the performance of different kinds of integrated features, the experimental results suggest the best performance of the feature that combines information from both the ascending and the descending parts of the three ontologies. Our method is appealing for effective prediction of protein-protein interaction. © 2016 Elsevier Ltd.


Shian L.,Guangzhou Maritime Institute
International Journal of Control and Automation | Year: 2014

Dynamic strategy-based security Kernel is very important in an embedded system. It is the core of a secure computing environment that can be implemented in the form of a hardware component installed in a computer or network topology, a software implementation, or a firmware system installed in a computer microchip, or in an embedded system. With increasing dependence on embedded systems, their reliability and security become more and more of an issue. This paper designs and develops a security Kernel prototype system which is named as SK-I. This prototype is very generic since it could be easily inserted to other systems or platforms. It is based on the safety identification, access control, user authority verification, and authority mechanisms. SK-I has been tested under difference dimensions so that the functionalities and performance are examined. From the testing, it is observed that create and delete operation costs a lot and the decision buffer plays an important role in enhancing the performance of an embedded system.


Shian L.,Guangzhou Maritime Institute
International Journal of Control and Automation | Year: 2014

This paper discusses the performance curves analysis based on stochastic network calculus under the diversified requirements from different applications in network. Such requirements need different quality of service (QoS), one of which is performance curve analysis. This paper proposes a theory model to investigate the performance curves in SNC. This model integrates the probability calculation into performance analysis model so as to present and analyze the statistical reuse characteristic of data stream over the Internet. The QoS model combines the above two analysis curves without using the min-plus algebra in order to avoid the noncooperation caused by Prb-MinPlus. Several innovations are included in this model. Firstly, the arrival curve indicates the stochastic data steam in the network by integrating the probability functions. Thus, the data stream is able to reflect the current situation in a network. Secondly, the model proposed in this paper integrates arrival curve and service curve to build up the model. As a result, the performance analysis could be carried out more precise. Thirdly, the proposed model has been compared with Jiang-SNC in terms of probability upper boundary and overall performance. It is observed that, the proposed model outperforms Jiang-SNC in QoS and can avoid the problem of Prb-MinPlus. © 2014 SERSC.


Fang D.Y.,Guangzhou Maritime Institute
Applied Mechanics and Materials | Year: 2014

The study of the logistics system mode based on the city construction is mainly according to the concrete characteristics of the logistics operation, to sum up the characteristics of the logistics system in the area of the set of the logistics information system, which aims to design a reasonable response model framework of the logistics system. This research is mainly based on the research on the GPS system, and deepening the logistics information system is to design and construct the function combination of the countermeasures of the logistics information technology, which is to design a complete system framework of the working state. In addition to the related GIS technology, and the implementation of the monitoring and the control of the logistics information system, and the implementation of the navigation guidance in a reasonable range, provide the reference for the construction plan of the whole system, which lays a theoretical foundation for the healthy and effective operation of the countermeasures of the logistics information technology. © (2014) Trans Tech Publications, Switzerland.


Huang Z.,Guangzhou Maritime Institute
Advanced Materials Research | Year: 2014

A mathematical simulation method is applied to simulate dynamics on plant fibers suspensions in shear-planar extensional flow. Furthermore, the result of differential equation on plant fibers orientation can be obtained in complex flow field. © (2014) Trans Tech Publications, Switzerland.


Yang Y.,Guangzhou Maritime Institute
Engineering Technology, Engineering Education and Engineering Management - International Conference on Engineering Technology, Engineering Education and Engineering Management, ETEEEM 2014 | Year: 2015

From students’ demand of music interests, analyzing the performance of business needs and characteristics about the platform, by using the basic principle of computer programming to achieve the construction of original music system platform in colleges or universities. © 2015 Taylor & Francis Group, London.


Liu Z.,Guangzhou Maritime Institute
Applied Physics A: Materials Science and Processing | Year: 2015

An emitting color tunable phosphor Sr3(PO4)2:Ce3+, Tb3+ was synthesized by the traditional high-temperature solid-state reaction method. The photoluminescence and energy-transfer (ET) properties of Ce3+- and Tb3+-doped Sr3(PO4)2 host were studied in detail. The obtained phosphors show both a blue emission from Ce3+ and a yellowish green emission from Tb3+ with considerable intensity under ultraviolet (UV) excitation (~311 nm). When the content of Ce3+ was fixed at 0.03, the emission chromaticity coordinates could be adjusted from blue to green region by tuning the contents of Tb3+ ions with the aid of ET process. The critical distance between Ce3+ and Tb3+ is 14.69 Å. The ET mechanism from Ce3+ to Tb3+ ions was identified with dipole–dipole interaction. The obtained phosphor exhibits a strong excitation in UV spectral region and high-efficient ET from Ce3+ to Tb3+ ions. It may find applications as a green light-emitting UV-convertible phosphor in white LED devices. © 2015, Springer-Verlag Berlin Heidelberg.

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