3D simulation of image-defined complex internal features using the numerical manifold method

The numerical simulation of internal features,such as inclusions and voids,is important to analyze their impact on the performance of composite materials.However,the complex geometries of internal features and the induced continuous-discontinuous(C-D)deformation fields are challenges to their numerical simulation.In this study,a 3D approach using a simple mesh to simulate irregular internal geometries is developed for the first time.With the help of a developed voxel crack model,image models that are efficient when recording complex geometries are directly imported into the simulation.Surface reconstructions,which are usually labor-intensive,are excluded from this approach.Moreover,using image models as the geometric input,image processing techniques are applied to detect material interfaces and develop contact pairs.Then,the C-D deformations of the complex internal features are directly calculated based on the numerical manifold method.The accuracy and convergence of the developed3D approach are examined based on multiple benchmarks.Successful 3D C-D simulation of sandstones with naturally formed complex microfeatures demonstrates the capability of the developed approach.

China is making significant progress in the nomenclature of international undersea features

With the arising global awareness of the ocean,relevant countries are competing to name the discovered undersea features at the international seabed areas in recent years.The Sub-Committee on Undersea Feature Names(SCUFN)is a joint organization under the Intergovernmental Oceanographic Commission of United Nations Educational,Scientific and Cultural Organization and

Features of International Situation in the Early New Century

Along with the ring of the millennium bell, the human society has entered a new century, and China’s national rejuvenation has come into a new stage. Undoubtedly, the coming ten years are of great significance because they will serve as a link between the past and the future. During this period, further deepening of revolution in science and technology represented by information technology and

Improvement of Counting Sorting Algorithm

By analyzing the internal features of counting sorting algorithm. Two improvements of counting sorting algorithms are proposed, which have a wide range of applications and better efficiency than the original counting sort while maintaining the original stability. Compared with the original counting sort, it has a wider scope of application and better time and space efficiency. In addition, the accuracy of the above conclusions can be proved by a large amount of experimental data.

IRESfinder:Identifying RNA internal ribosome entry site in eukaryotic cell using framed k-mer features

In eukaryotic cells,initiation of protein translation is to recruit the ribosome to a specific mRNA,which is generally dependent on the 5'cap structure.However,protein translation can also be initiated in a cap-independent manner by using a cis-regulatory element termed the internal ribosome entry site(IRES).The first experimentally validated IRES was reported in the

Morphology of Kaloula rugifera and K. borealis Tadpoles(Anura: Microhylidae: Kaloula verrucosa Group) in China

The external morphology and internal oral features of the tadpoles of Kaloula rugifera and K. borealis are described in this paper. Similarities between these two larvae include external morphology, oral disc, internal oral features(floor and roof), terminal mouth, lateral eyes, single midventral spiracle, absence of keratinized jaw sheaths and labial teeth, absence of lingual papillae and postnarial arena, while the body of K. rugifera is bigger than that of K. borealis at stages from 36 to 39 and the number of papillae in the buccal cavity is 12–19 and 9–16, respectively in the two species. All the similarities and differences of the two species illustrate that the tadpoles within the family Microhylidae could be attributed to assistance in clarifying a certain taxonomic treatment in Microhylidae.

CPC INTERNATIONAL WORK FEATURING “POLITICAL GUIDANCE” UNDER NEW SITUATION

Since the 18th CPC National Congress,General Secretary Xi Jinping has raised new requirements for the Party’s international work under the new situation,emphasizing that on the basis of summarizing

Leading Features of the International Security Landscape in 2008

The international security situation in the past year on the whole retained the basic posture of peace and stability, but unstable and uncertain elements cast a growing

A new method for the prediction of network security situations based on recurrent neural network with gated recurrent unit

Purpose-The purpose of this paper is to solve the shortage of the existing methods for the prediction of network security situations(NSS).Because the conventional methods for the prediction of NSS,such as support vector machine,particle swarm optimization,etc.,lack accuracy,robustness and efficiency,in this study,the authors propose a new method for the prediction of NSS based on recurrent neural network(RNN)with gated recurrent unit.Design/methodology/approach-This method extracts internal and external information features from the original time-series network data for the first time.Then,the extracted features are applied to the deep RNN model for training and validation.After iteration and optimization,the accuracy of predictions of NSS will be obtained by the well-trained model,and the model is robust for the unstable network data.Findings-Experiments on bench marked data set show that the proposed method obtains more accurate and robust prediction results than conventional models.Although the deep RNN models need more time consumption for training,they guarantee the accuracy and robustness of prediction in return for validation.Originality/value-In the prediction of NSS time-series data,the proposed internal and external information features are well described the original data,and the employment of deep RNN model will outperform the state-of-the-arts models.

Brief Introduction to Some Featured Speakers for the 3rd Asia TEFL International Conference

Tariq RahmanTariq Rahman earned his Ph.D in English from theUniversity of Sheffield in England.He did his post-doctoral research as a Fulbright scholar(1995-96)in the USA.He is presently National DistinguishedProfessor at the Quaid-i-Azam University in Islamabad,Pakistan.Dr.Rahman is a highly published scholar havingmore than eighty research papers in academic journals and six booksto his credit.He is considered an authority on the politics and historyof languages and language policy in Pakistan.His book Language andPolitics in Pakistan(Oxford University Press,1996)is regarded as aclassic in the field and has been reprinted four times.His latest bookDenizens of Alien Worhls(Oxford University Press,2004)is on