中国广东与中国台湾的产业结构比较（英文）

本文利用投入产出分析方法。对中国广东省１９９２年和中国台湾省１９８１年的产业结构作了比较，并讨论了广东省产业结构的某些调整方向。

The parallel 3D magnetotelluric forward modeling algorithm

The workload of the 3D magnetotelluric forward modeling algorithm is so large that the traditional serial algorithm costs an extremely large compute time. However, the 3D forward modeling algorithm can process the data in the frequency domain, which is very suitable for parallel computation. With the advantage of MPI and based on an analysis of the flow of the 3D magnetotelluric serial forward algorithm, we suggest the idea of parallel computation and apply it. Three theoretical models are tested and the execution efficiency is compared in different situations. The results indicate that the parallel 3D forward modeling computation is correct and the efficiency is greatly improved. This method is suitable for large size geophysical computations.

Specificity and Semantic Horizon of the Human Sciences from the Viewpoint of Bakhtin＇s Metalinguistics

This article explores the potential resources of the Bakhtin＇s theory of dialogism and its core concepts for the development of the philosophy and methodology of the human sciences. Focusing on Bakhtin＇s late essays： ＂The Problem of the Text in Linguistics, Philology, and the Human Sciences; From Notes Made in 1970-71;＂ and ＂Toward a Methodology for the Human Sciences,＂ the author deals with such concepts as sense, semantic whole, superaddressee, the third, and outsideness. Metalinguistics is interpreted as a philosophical approach to the problems of humanities methodology. The specifics of the human sciences, which Bakhtin put to the question, are described in comparison and correlation with the natural sciences. The author elaborates the idea of the communicative three-part relationship or trilogue （as a development of the dialogue）. The role of the superaddressee as the third participant of the trilogue between the researcher （the subject） and the text （the object） is discussed. The notion semantic whole and its implementation in the process of the sense＇s becoming （development） are analyzed.

An Efficient Algorithm for Skyline Queries in Cloud Computing Environments

Skyline query processing has recently received a lot of attention in database and data mining communities. However, most existing algorithms consider how to efficiently process skyline queries from base tables. Obviously, when the data size and the number of skyline queries increase, the time cost of skyline queries will increase exponentially, which will seriously influence the query efficiency. Motivated by the above, in this paper, we consider improving the query efficiency via skyline views and propose a cost-based algorithm(abbr. CA) to efficiently select the optimal set of skyline views for storage. The CA algorithm mainly includes two phases:(i) reduce the skyline views selection to the minimum steiner tree problem and obtain the approximate optimal set AOS of skyline views, and(ii) adjust AOS and produce the final optimal set FOS of skyline views based on the simulated annealing. Moreover, in order to improve the extendibility of the CA algorithm, we implement it based on the map/reduce distributed computation model in cloud computing environments. The detailed theoretical analyses and extensive experiments demonstrate that the CA algorithm is both efficient and effective.

Green design horizon, hand-painted rendering performance techniques to explore

Green design horizon, explore the hand-painted rendering performance techniques,from conception to take as, composition distribution, global and local processing, local expansion method, the performance of rendering and other aspects of analysis and propose countermeasures. Accumulation of professional material for designers and nutrients at the same time, raise awareness of the environment, space and natural understanding, To improve the aesthetic horizon, hand-painted rendering green design and students ability to innovate education is of great significance.

An Insight into Machine Learning Algorithms to Map the Occurrence of the Soil Mattic Horizon in the Northeastern Qinghai-Tibetan Plateau

Soil diagnostic horizons, which each have a set of quantified properties, play a key role in soil classification. However, they are difficult to predict, and few attempts have been made to map their spatial occurrence. We evaluated and compared four machine learning algorithms, namely, the classification and regression tree(CART), random forest(RF), boosted regression trees(BRT), and support vector machine(SVM), to map the occurrence of the soil mattic horizon in the northeastern Qinghai-Tibetan Plateau using readily available ancillary data. The mechanisms of resampling and ensemble techniques significantly improved prediction accuracies(measured based on area under the receiver operator characteristic curve score(AUC)) and produced more stable results for the BRT(AUC of 0.921 ± 0.012, mean ± standard deviation) and RF(0.908 ± 0.013) algorithms compared to the CART algorithm(0.784 ± 0.012), which is the most commonly used machine learning method. Although the SVM algorithm yielded a comparable AUC value(0.906 ± 0.006) to the RF and BRT algorithms, it is sensitive to parameter settings, which are extremely time-consuming.Therefore, we consider it inadequate for occurrence-distribution modeling. Considering the obvious advantages of high prediction accuracy, robustness to parameter settings, the ability to estimate uncertainty in prediction, and easy interpretation of predictor variables, BRT seems to be the most desirable method. These results provide an insight into the use of machine learning algorithms to map the mattic horizon and potentially other soil diagnostic horizons.