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Microblogging services have been popular in recent years. There are a large number of real-time microblog messages generated in each day which results in the information overload problem especially for the users with many followees. Personalized microblog recommendation can help the users out of the trouble of information overload. It is an interesting and important research topic with wide applications...
Disease risk assessment plays an important role in controlling the diffusion of infectious diseases. It needs a large number of environmental, social, and economic development data in order to discover the pathogenic factors of a given disease. However, the conventional disease risk assessment is carried out mainly through the analysis of geographic data and non-geographic data released by officials...
With the rapid growth of data in various domains, models for data processing become more and more complicated and require higher and higher computing power of local machines. In our opinion, it is a good solution to put models into the "cloud". Integrating and categorizing these models in different domains is convenient for users. They don't have to establish similar systems for different...
Distributed atmospheric data are often stored and managed in diverse regional and global repositories. The scientific process requires composition of these resources to solve a specific atmospheric science problem. A challenge is how to harvest data and models for designing and executing experiments in a seamless manner. Moreover, data intensive scientific experiments with large-scale scientific data...
A cyclic force decomposition algorithm is examined for parallelising three body interactions. The algorithm is based on the decomposition of a 3D force matrix into slices of 2D force matrixes in cyclic task assignments. The proposed decomposition algorithm is implemented using MPI and tested in computational experiments of MD simulations. The performance of the decomposition method is studied in terms...
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