为实现无产阶级由“自在”向“自为”阶级的转变而奋斗——论一次劳大前后邓中夏工运思想的内涵与意义

邓中夏对中国工人运动和中国革命运动独特的理论贡献之一,是在全国第一次劳动大会前后,努力探索用马克思主义阶级斗争学说和现代产业工会的组织原则来改造和克服中国无产阶级自身弱点,主张理论灌输和科学组织的统一,由此而经济斗争、政治斗争直到夺取政权的斗争,完成由"自在阶级"向"自为阶级"的历史转变。

Entanglement of Three Atoms Induced by a Coherent Field

We calculate the concurrence and spin squeezing parameter of three atoms induced by a coherent field. It shows that when the mean numbers of photon of the field is very small, concurrence exhibits a certain kind of approximative periodic vibration. With the increase of the mean numbers of photon, its periodicity will be interrupted. As for the relationship between the concurrence and spin squeezing, numeric result shows that under Dick model, spin squeezing serves as a sufficient but not necessary condition for concurrence.

RVFLN-based online adaptive semi-supervised learning algorithm with application to product quality estimation of industrial processes

Direct online measurement on product quality of industrial processes is difficult to be realized,which leads to a large number of unlabeled samples in modeling data.Therefore,it needs to employ semi-supervised learning(SSL)method to establish the soft sensor model of product quality.Considering the slow time-varying characteristic of industrial processes,the model parameters should be updated smoothly.According to this characteristic,this paper proposes an online adaptive semi-supervised learning algorithm based on random vector functional link network(RVFLN),denoted as OAS-RVFLN.By introducing a L2-fusion term that can be seen a weight deviation constraint,the proposed algorithm unifies the offline and online learning,and achieves smoothness of model parameter update.Empirical evaluations both on benchmark testing functions and datasets reveal that the proposed OAS-RVFLN can outperform the conventional methods in learning speed and accuracy.Finally,the OAS-RVFLN is applied to the coal dense medium separation process in coal industry to estimate the ash content of coal product,which further verifies its effectiveness and potential of industrial application.

Effect of Cropland Occupation and Supplement on Light-temperature Potential Productivity in China from 2000 to 2008

There are more people but less land in China,so food safety has always been a most important issue government concerned.With continuous population increase,economic development and environment protection,cropland occupation and supplement are unavoidable.It not only leads to the variation of cropland area,but also makes the light-temperature potential productivity per unit area different due to regional climate differentiation,therefore impacts the total potential productivity and food output eventually.So,it is necessary to analyze the climate differentiation between occupation and supplement cropland areas and to study its impact on total potential productivity,which is significant to reasonably develop natural resources and instruct agricultural arrangement.This study firstly discussed the variation and distribution of occupation and supplement croplands in China from 2000 to 2008,then analyzed the climate differentiation between occupation and supplement cropland areas and its effect on light-temperature potential productivity.The results demonstrate:1) From 2000 to 2008,the cropland variation presented occupation in the south and supplement in the north,but overall decreased.Supplement cropland was mainly from ecological reclamation(77.78%) and was mainly distributed in Northeast China and Northwest China with poor climatic and natural conditions.Occupation cropland was mainly used for construction(52.88%) and ecological restoration(44.78%) purposes,and was mainly distributed in the Huang-Huai-Hai Plain,and the middle and lower reaches of the Changjiang(Yangtze) River with better climatic and natural conditions.2) The climate conditions were quite different in supplement and occupation cropland areas.The annual precipitation,annual accumulated temperature and average annual temperature were lower in the supplement cropland area,and its average po-tential productivity per unit was only 62% of occupation cropland area,which was the main reason for the decrease of total potential productivity.3) Cropland occupation and supplement led to the variation of total potential productivity and its spatial distribution.The productivity decreased in the south and increased in the north,but had a net loss of 4.38315×107 t in the whole country.The increase of cropland area was at the cost of reclaiming natural forest and grassland resources,and destroying natural ecological environment,while the decrease of cropland area was mainly due to a lot of cropland occupied by urban-rural construction,which threatened the sustainable use of cropland resources.

A Study on the Spatial Distribution of China's Potential Foreign Cooperation on Grain from Geographical View

Further utilization of global agricultural resources and the expansion of potential international cooperation space are necessary measures to promote a new level of China's national food security and optimize the structure of domestic food consumption.This study measured the global potential cultivated land area and national grain self-sufficiency.Based on the two-above measures,the authors made a classification of China's foreign agricultural cooperation countries and depicted the spatial pattern of cooperation based on the grain trades of those countries with China.The:grain exporters include Australia,North America,South America,Eastern Europe and Central Asia;and the target countries for "going abroad"of Chinese grain enterprises are mainly located in Sub-Saharan Africa and northern Latin America.This study proposes that China's policy of cooperation on grain should be shifted to non-traditional partners alongside the "Belt and Road Initiative"region.Specifically,China could expand grain imports from Russia,Kazakhstan,Ukraine and other East European and Central Asian countries,and the direction for China's agricultural enterprises "going abroad"should shift to Sub-Sahara Africa.

Double Moving Window MPCA for Online Adaptive Batch Monitoring

Online monitoring of chemical process performance is extremely important to ensure the safety of a chemical plant and consistently high quality of products. Multivariate statistical process control has found wide applications in process performance analysis, monitoring and fault diagnosis using existing rich historical database.In this paper, we propose a simple and straight forward multivariate statistical modeling based on a moving window MPCA (multiway principal component analysis) model along the time and batch axis for adaptive monitoring the progress of batch processes in real-time. It is an extension to minimum window MPCA and traditional MPCA.The moving window MPCA along the batch axis can copy seamlessly with variable run length and does not need to estimate any deviations of the ongoing batch from the average trajectories. It replaces an invariant fixed-model monitoring approach with adaptive updating model data structure within batch-to-batch, which overcomes the changing operation condition and slows time-varying behaviors of industrial processes. The software based on moving window MPCA has been successfully applied to the industrial polymerization reactor of polyvinyl chloride (PVC) process in the Jinxi Chemical Company of China since 1999.

IMPROVED FXLMS ALGORITHM BASED ON ADAPTIVE NOTCH FILTER APPROACH

An improved algorithm is presented to identify the secondary path based on the adaptive notch filter approach. Since the interference from the narrow band excitation signal is suppressed by the adaptive notch filter, the convergent speed of the on-line control path identification process is significantly improved. As a result, the controller performance is greatly enhanced. Besides the algorithm development, some important factors, such as the influence of reference signal on the controller convergent speed, are also discussed. The effectiveness of the algorithm is verified by experimental results.

On the existential freedom of The French Lieutenant＇s Woman

There is no doubt that The French Lieutenant＇s Woman, written by John Fowles, should be among the list of the most controversial, outstanding and distinguished postmodern literary works in 1970s. As a writer greatly influenced by Existentialism, Fowles endows the book tremendous vitality, that is, the vigor of philosophy, which differentiates the work from the other common postmodern ones. This quality is reflected on the theme of freedom to a great extent. In the following part, the author mainly discusses about certain principles of existentialism which yield such great impact on Fowles, and the theme of existentialistic freedom is to be analyzed through the approach of the artful characterization and postmodem writing techniques.

Systems Analysis in the Study of the Political Elite

The main topic of the research is applying of systems approach in studying of political elite. This approach was applied in the analysis of Russia＇s regional power elite （1991 to 2010）. The elite was studied as a complex self-reference system oriented at its own environment, not only in an adaptive way, but first and foremost in structure. The systems approach specifies the following conceptual framework of the study： self-reference, system boundaries, and interaction between the political elite and the surrounding world. Application of the systems analysis to studying the political elite enabled to analyze the structure and functions of the elite, create a model of elitogenesis, and receive study matrix.

Development and application of ocean station auto monitoring data on-line quality control system

The quality control of ocean observation data is conducted by monthly review,yet no on-line quality control system is deployed.An on-line quality control system is provided by this article.The threshold of extreme and rate of change is created by analyzing the character of observation items.The alert will be triggered to remind the operator if the system detects data out of threshold.therefore the on-line data quality control is accomplished.

Motivational Practices in Foreign Language Teaching:From the Perspective of Self-Determination Theory

This quantitative-oriented study investigates junior middle school EFL teachers’beliefs about motivational practices in the language teaching process.Grounded in self-determination theory,the study examined teachers’beliefs in three basic psychological needs(relatedness,competence and autonomy)and the effect of their teaching experience on these beliefs.Data were obtained from 84 Chinese junior middle school English teachers through a questionnaire.Results suggested that teachers recognized motivational practices for relatedness and competence satisfaction while showing relatively low recognition of a few motivating practices for autonomy satisfaction.Teaching experience was found to have no influence on teachers’conception of needs-related motivational practices.Findings reveal that traditional activities like collective lesson preparations may have a negative influence on teachers’beliefs about motivational practices.They also present the necessity for adjustments on educational regulations,and for modern professional training to help teachers understand students’basic psychological needs,and to encourage new ideas to bolster students’intrinsic motivation for language learning.

Novel flexible hybrid electric system and adaptive online-optimal energy management controller for plug-in hybrid electric vehicles

In order to achieve the improvement of the driving comfort and energy efficiency,an new e-CVT flexible full hybrid electric system(E2FHS) is proposed,which uses an integrated main drive motor and generator to take the place of the original automatic or manual transmission to realize the functions of continuously variable transmission(e-CVT).The design and prototype realization of the E2FHS system for a plug-in hybrid vehicle(PHEV) is performed.In order to analyze and optimize the parameters and the power flux between different parts of the E2FHS,simulation software is developed.Especially,in order to optimize the performance of the energy economy improvement of the E2FHS,the effect of the different energy management controllers is investigated,and an adaptive online-optimal energy management controller for the E2FHS is built and validated by the prototype PHEV.

Self-determination, Self-efficacy and Self-regulation in School： A Longitudinal Intervention Study With Primary School Pllnile

The study documents an intervention programme based on the Self-determination Theory of Deci and Ryan （2000） with school beginners in an Austrian primary school with the aim to improve perceived self-determination and academic self-regulation of school beginners. For two years, teachers were guided by a team of educational scientists to design challenging autonomous learning settings and to foster self-determined academic regulation. Before and after the intervention, about 100 pupils were questioned concerning their well-being in school, perceived autonomy support, their academic self-regulation, and school-related self-efficacy. Teachers＇ autonomy support decreased during the first year but remained stable from then on. Pupils＇ intrinsic regulation, as well as their introjected and external regulation and their self-efficacy, decreased throughout the intervention but identified regulation remained stable. The results indicate that perceived self-determination, self-determined academic regulation, and self-efficacy contribute to school-related well-being and offer interesting recommendations for improving the climate in schools for pupils and teachers.

Fusing PLSA model and Markov random fields for automatic image annotation

A novel image auto-annotation method is presented based on probabilistic latent semantic analysis(PLSA) model and multiple Markov random fields(MRF).A PLSA model with asymmetric modalities is first constructed to estimate the joint probability between images and semantic concepts,then a subgraph is extracted served as the corresponding structure of Markov random fields and inference over it is performed by the iterative conditional modes so as to capture the final annotation for the image.The novelty of our method mainly lies in two aspects:exploiting PLSA to estimate the joint probability between images and semantic concepts as well as multiple MRF to further explore the semantic context among keywords for accurate image annotation.To demonstrate the effectiveness of this approach,an experiment on the Corel5 k dataset is conducted and its results are compared favorably with the current state-of-the-art approaches.

Study of the Potential Value of flex affinis （Aquifoliaceae） as a Novel Source for the Food and Pharmaceutical Industries

llex paraguariensis St. Hilaire （Aquifoliaceae） is processed industrially to produce the commercial product ＂yerba mate＂ which is used as a tea-like beverage. It is one of the most commercialized plants of South America. It is exported to the US, Europe and Asia as vegetal drug or extracts used in complementary and alternative medicine and in formulations for functional foods due to its properties as a CNS stimulant, diuretic, weight reducing, antioxidant and antihypercholesterolemic, among others, llex affinis grows in the same habitat and is used as substitute or adulterant ofI. paraguariensis. This species was never investigated before. The objective of this work was to assess the phytochemical composition and to determine the pharmacological activity, according with the major compounds present in it. The results showed small quantities of caffeine and theobromine, but a considerable amount of polyphenols, especially chlorogenic acid and isochlorogenic acid. I. affinis extracts presented scavenging activity on free radical DPPH in a concentration-dependent manner. Antiproliferative action on lymphoma cell line exerting both cytostatic and cytotoxic activities was also demonstrated.

The Existence of Periodic Orbits for Higher Dimensional Autonomous Systemswith Small Perturbations

By means of theory of toplogical degree in nonlinear functional analysis combining with qualitative analysis method in ordinary differential equations, we discuss the existence of nontrivial periodic orbits for higher dimensional autonomous system with small perturbations.

Online process monitoring for complex systems with dynamic weighted principal component analysis

Conventional multivariate statistical methods for process monitoring may not be suitable for dynamic processes since they usually rely on assumptions such as time invariance or uncorrelation. We are therefore motivated to propose a new monitoring method by compensating the principal component analysis with a weight approach.The proposed monitor consists of two tiers. The first tier uses the principal component analysis method to extract cross-correlation structure among process data, expressed by independent components. The second tier estimates auto-correlation structure among the extracted components as auto-regressive models. It is therefore named a dynamic weighted principal component analysis with hybrid correlation structure. The essential of the proposed method is to incorporate a weight approach into principal component analysis to construct two new subspaces, namely the important component subspace and the residual subspace, and two new statistics are defined to monitor them respectively. Through computing the weight values upon a new observation, the proposed method increases the weights along directions of components that have large estimation errors while reduces the influences of other directions. The rationale behind comes from the observations that the fault information is associated with online estimation errors of auto-regressive models. The proposed monitoring method is exemplified by the Tennessee Eastman process. The monitoring results show that the proposed method outperforms conventional principal component analysis, dynamic principal component analysis and dynamic latent variable.

Fuzzy Online Auto-Tuning for an Industrial PID Controller

This paper presents a fuzzy tuning system for real-time industrial PID （proportional-integral-derivative） controllers. The algorithm set the proportional gain, integral time and derivative time of a classical PID structure according to the set point, error and error derivative of the process, respectively. The tuning of the PID controller is based on a fuzzy inference machine. The set of rules of the fuzzy inference machine was obtained by experts engineering. The system is tested in an austempering process but can be applied in any industrial plant. Besides, an analysis between the response of the process with a PID controller and the system of fuzzy auto-tuning for P1D proposed was made.

Local Partial Least Squares Based Online Soft Sensing Method for Multi-output Processes with Adaptive Process States Division

Local learning based soft sensing methods succeed in coping with time-varying characteristics of processes as well as nonlinearities in industrial plants. In this paper, a local partial least squares based soft sensing method for multi-output processes is proposed to accomplish process states division and local model adaptation,which are two key steps in development of local learning based soft sensors. An adaptive way of partitioning process states without redundancy is proposed based on F-test, where unique local time regions are extracted.Subsequently, a novel anti-over-fitting criterion is proposed for online local model adaptation which simultaneously considers the relationship between process variables and the information in labeled and unlabeled samples. Case study is carried out on two chemical processes and simulation results illustrate the superiorities of the proposed method from several aspects.

A Comparative Study of Taoist and Heideggerian Concepts of Nature From Perspectives of Technology and Deep Ecology

With the theory of existentialism, hermeneutics and phenomenology, this paper carries out profound exploration in a comparative study of Heidegger and Taoist＇s concept of nature and the significance of understanding it. It not only plays an important role in comparison and analogy of eastern culture and western culture in the aspect of civilization and cultural communication, but also helps to take advantage of their theories to support the environmental-friendly movement. Moreover, the text also investigates some controversy in this field and how to solve the problems as well as the meaning of solutions. Both of the theories are significant for deep ecology for their opposing modern technology＇s generally reductionistic and materialistic view of nature.