社会抗争行为场域的逻辑:基于政治机会结构与政府学习维度的检视

社会抗争关系到利益表达与维护,作为一种非制度化的政治参与形式,国内的抗争诉求多集中在"权利与利益"方面。社会抗争行为发生在一定的场域之中,场域中包含抗争者、管控者、制度、规则等内容,场域具有非"是非"特征,呈现出一种波动性的"半闭合"状态。社会抗争行为场域的产生离不开政治机会结构,政治机会结构塑造了抗争场域,在场域中放置了政治机会与政治限制。当然政治机会结构是政府"过程学习"的结果,虽然政府有"内生性"学习目标(为人民服务),但是政府的学习也会出现偏差,因而社会抗争行为的场域——政治机会结构——政府的"过程学习",这一衍变过程即是社会抗争行为场域的逻辑所在。展望未来,逐步构建回应性政治,在政治吸纳上做功课,遵循社会抗争行为场域的逻辑,显得尤为重要。

在语文课堂教学中如何运用探究性学习

探究性学习方式有利于减轻学生负担，有利于培养学生的创新精神，教师只有提高语文课堂教学质量，鼓励和引导学生有所创见，才能真正提高学生的语文素质和水平。

College English autonomous teaching and learning research and practice

This paper intends to promote a college English autonomous teaching and learning approach by introducing the whole process of its implementation and feedback from the learners. The theoretical and practical framework of this approach is： with multiple autonomous learning research and practice models as its core, with process syllabus as its guidance, with task-based teaching as its essential principle, with group cooperation and reciprocal learning as its means, with extracurricular activities, online learning and self-access center as its learning environment, with formative assessment system as its guarantee and with cultivation of learners＇ comprehensive English practical skills and autonomy as its goal. Through this approach, we provide the learners with a favorable learning environment where they can learn by themselves and learn by reflection and practice so that they can learn how to learn and how to behave and how to survive.

对新加坡教育的一些反思

为父母者都有自己的童年和学习经验、体会。望子成龙并非与生俱来的本能,而是一种社会行为,一种对社会价值观的对应行为。我们的国家自独立以来,一直崇尚优秀学业成绩。

Incremental Multi Step R Learning

Aim To investigate the model free multi step average reward reinforcement learning algorithm. Methods By combining the R learning algorithms with the temporal difference learning (TD( λ ) learning) algorithms for average reward problems, a novel incremental algorithm, called R( λ ) learning, was proposed. Results and Conclusion The proposed algorithm is a natural extension of the Q( λ) learning, the multi step discounted reward reinforcement learning algorithm, to the average reward cases. Simulation results show that the R( λ ) learning with intermediate λ values makes significant performance improvement over the simple R learning.

Application of thermal parameter soft sensor in power plant

In order to solve the problem of the invalidation of thermal parameters andoptimal running, we present an efficient soft sensor approach based on sparse online Gaussianprocesses( GP), which is based on a combination of a Bayesian online algorithm together with asequential construction of a relevant subsample of the data to specify the prediction of the GPmodel. By an appealing parameterization and projection techniques that use the reproducing kernelHubert space (RKHS) norm, recursions for the effective parameters and a sparse Gaussianapproximation of the posterior process are obtained. The sparse representation of Gaussian processesmakes the GP-based soft sensor practical in a large dataset and real-time application. And theproposed thermalparameter soft sensor is of importance for the economical running of the powerplant.

Chicken soup for teaching and learning ESD

Endoscopic submucosal dissection(ESD) is becoming a popular procedure for the diagnosis and treatment of superficial mucosal lesions,and has the advantage of en bloc resection which yields a higher complete resection and remission rate compared to endoscopic mucosal resection(EMR).However,the learning process of this advanced endoscopic procedure requires a lengthy training period and considerable experience to be proficient.A well framed training protocol which is safe,effective,easily reproducible and cost-effective is desirable to teach ESD.In addition,the training course may need to be tailored around settings such as ethnicity,culture,workload,and disease incidence.In Asian countries with a large volume of early gastric lesions which need endoscopic treatment,endoscopists would be able to learn ESD expanding their skills from EMR to ESD under the supervision of experts.Whereas,in Western countries due to the low incidence of superficial gastric tumors,trials have utilized simulator models to improve learning.In Korea,the Korean Society of Gastrointestinal Endoscopy(KSGE) is playing an important role in training many gastroenterologists who have shown an interest in performing ESD by providing an annual live demonstration and a nationwide tutoring program.The purpose of this article is to introduce our ESD tutoring experience,review the published papers related to this topic,and propose several suggestions for future directions in teaching and learning ESD.

Efficient Temporal Difference Learning with Adaptive λ

Aim To find a more efficient learning method based on temporal difference learning for delayed reinforcement learning tasks. Methods A kind of Q learning algorithm based on truncated TD( λ ) with adaptive schemes of λ value selection addressed to absorbing Markov decision processes was presented and implemented on computers. Results and Conclusion Simulations on the shortest path searching problems show that using adaptive λ in the Q learning based on TTD( λ ) can speed up its convergence.

Optimal Iterative Learning Control for Batch Processes Based on Linear Time-varying Perturbation Model

A batch-to-batch optimal iterative learning control （ILC） strategy for the tracking control of product quality in batch processes is presented. The linear time-varying perturbation （LTVP） model is built for product quality around the nominal trajectories. To address problems of model-plant mismatches, model prediction errors in the previous batch run are added to the model predictions for the current batch run. Then tracking error transition models can be built, and the ILC law with direct error feedback is explicitly obtained, A rigorous theorem is proposed, to prove the convergence of tracking error under ILC, The proposed methodology is illustrated on a typical batch reactor and the results show that the performance of trajectory tracking is gradually improved by the ILC.

MULTI-SCALE GAUSSIAN PROCESSES MODEL

A novel model named Multi-scale Gaussian Processes (MGP) is proposed. Motivated by the ideas of multi-scale representations in the wavelet theory, in the new model, a Gaussian process is represented at a scale by a linear basis that is composed of a scale function and its different translations. Finally the distribution of the targets of the given samples can be obtained at different scales. Compared with the standard Gaussian Processes (GP) model, the MGP model can control its complexity conveniently just by adjusting the scale pa-rameter. So it can trade-off the generalization ability and the empirical risk rapidly. Experiments verify the fea-sibility of the MGP model, and exhibit that its performance is superior to the GP model if appropriate scales are chosen.

Effectiveness of Using Project Method in Teaching Professional Foreign Language

The purpose of the paper is to demonstrate the effectiveness of using project method in teaching professional English in non-linguistic colleges. The main principles of project teaching, the technology of its adoption in teaching process, and some kinds of projects used in studying are reviewed. During the research the following methods were used： theoretical analysis, empirical, and statistical. While studying the course ＂Professional foreign language＂, the monitoring of effectiveness of project method use in teaching a foreign language was made. Monitoring was conducted under the following criteria： percent of progress, percent of quality of knowledge, and the level of motivation in studying English. The experience showed that in the process of project work learners＇ general educational abilities, special abilities, and communication abilities are developed.

Modern Pedagogy and the Ratio Studiorum

This presentation discusses the requests of modern pedagogy, and a possible bridging between the traditional teaching strategies drawn by the Ratio Studiorum of a unique and rare structure, and today＇s learning process. It will argue the practical application and philosophy of education widely accepted and recognized as a part of curricular activities within the learning environments, though with no recognition of its origin. This paper aims to examine the indisputable contributions of the educational methods of the Jesuits in our time, although, the discipline has developed new fundamental, and new concepts such as self-esteem, self-awareness, and self-determination among others,

A CLOUD-RESOLVING MODELING STUDY OF SURFACE RAINFALL PROCESSES ASSOCIATED WITH LANDFALLING TYPHOON KAEMI(2006)

The detailed surface rainfall processes associated with landfalling typhoon Kaemi（2006） are investigated based on hourly data from a two-dimensional cloud-resolving model simulation. The model is integrated for 6 days with imposed large-scale vertical velocity, zonal wind, horizontal temperature and vapor advection from National Center for Environmental Prediction （NCEP） / Global Data Assimilation System （GDAS） data. The simulation data are validated with observations in terms of surface rain rate. The Root-Mean-Squared （RMS） difference in surface rain rate between the simulation and the gauge observations is 0.660 mm h^-1, which is smaller than the standard deviations of both the simulated rain rate （0.753 mm h^-1） and the observed rain rate （0.833 mm h^-1）. The simulation data are then used to study the physical causes associated with the detailed surface rainfall processes during the landfall. The results show that time averaged and model domain-mean Ps mainly comes from large-scale convergence （QWVF） and local vapor loss （positive QWVT）. Large underestimation （about 15%） of Ps will occur if QWVT and QCM （cloud source/sink） are not considered as contributors to Ps ,QWVF accounts for the variation of P during most of the integration time, while it is not always a contributor to Ps,Sometimes surface rainfall could occur when divergence is dominant with local vapor loss to be a contributor to Ps - Surface rainfall is a result ofmulti-timescale interactions. QWVE possesses the longest time scale and the lowest frequeney the second and QCM of variation with time and may exert impact on P on longer time scales. QWVF possesses longest time scale and lowest frequency and can explain most of the variation of Ps. QWVT possess shorter time scales and higher frequencies, which can explain more detailed variations in Ps. Partitioning analysis shows that stratiform rainfall is dominant from the morning of 26 July till the late night of 27 July. After that, convective rainfall dominates till about 1000 LST 28 July. Before 28 July, the variations of QWVT in rainfall-free regions contribute less to that of the domain-mean QWVT while after that they contribute much, which is consistent to the corresponding variations in their fractional coverage. The variations of QWVF in rainfall regions are the main contributors to that of the domain-mean QWVF, then the main contributors to the surface rain rate before the afternoon of 28 July.

Teaching Religious Education in Schools and Adolescents＇ Social and Emotional Development. An Action Research on the Role of Religious Education and School Community in Adolescents＇ Lives

The presentation of the findings of this article is based on an action research focused on the supportive role of the school in adolescents＇ lives, whereby Religious Education＇s contribution to the social and emotional development of adolescents （11-15） is combined with the evaluation of the potential offered by a constructivist approach to the learning process. The research commenced in 2012 and is now in its third ＂year. The project is based on an intervention at a high school in an impoverished suburb of Athens and researches educational practices through interpretative-ethnographic methods. The researcher has attempted to answer the question of whether the design of the learning environments is effective not only in the learning process, but also on inter-communication and ＂connectedness＂ between the members of the learning community. The findings so far indicate a correlation between adolescents＇ emotional and social wellbeing and the school＇s approach to knowledge and learning methods, specifically in Religious Education classes. It is fair to say, however, that there exist ethnic, social and family components that are negatively related to a sense of＂connectedness＂ within the school although at the same time Religious Education as a subject is, however, found to be positively related to learning community atmosphere.

Simulations of Using Vectors in Natural Sciences Education

The implementation of ICT （information and communication technologies） into the educational process is becoming a reality in the 21st century. Today＇s students grow up with technology. To keep their attention, scientific problems should be solved through visualization, which is made possible using ICT in the educational process. In the modem educational process, students still have difficulties in learning science concepts. Also, it is a very common problem that students cannot apply mathematical language and concepts into other science areas such as physics, engineering, etc. For example, students start learning about vectors in mathematics in secondary school. Vectors are very important because they have a wide area of applications especially in physics, engineering and navigation to represent forces, tension, velocity, etc.. Using the free mathematical software GeoGebra, a simulation of using vectors in these areas is made. It will be shown that such simulations increase students＇ interest, keep their attention, and make this knowledge more real and more understandable and connected to the physical world and thus more applicable to their other studies.

Learning control of fermentation process with an improved DHP algorithm

Control of the fed-batch ethanol fermentation processes to produce maximum product ethanol is one of the key issues in the bioreactor system.However,ethanol fermentation processes exhibit complex behavior and nonlinear dynamics with respect to the cell mass,substrate,feed-rate,etc.An improved dual heuristic programming algorithm based on the least squares temporal difference with gradient correction(LSTDC) algorithm(LSTDC-DHP) is proposed to solve the learning control problem of a fed-batch ethanol fermentation process.As a new algorithm of adaptive critic designs,LSTDC-DHP is used to realize online learning control of chemical dynamical plants,where LSTDC is commonly employed to approximate the value functions.Application of the LSTDC-DHP algorithm to ethanol fermentation process can realize efficient online learning control in continuous spaces.Simulation results demonstrate the effectiveness of LSTDC-DHP,and show that LSTDC-DHP can obtain the near-optimal feed rate trajectory faster than other-based algorithms.

Research on the Development Trend of Contemporary Vocal Music Education System from the Curriculum Optimization Perspective

In this paper, we conduct research on the development trend of contemporary vocal music education system from the curriculum optimization perspective. In the teaching, because the students interested in learning solfeggio, decided that they have the goal of learning. Learning objectives are the prerequisites for students to generate learning motivation, but also guide the direction of student learning, which reflects the orientation of interest. In concrete teaching process, student association, because has the strong interest to the teacher positive teaching, thus establishes reaches the high-level diligently desire and goal, this will give student’s solfeggio study to bring enormous encouragement and promoter action. But teacher’s strong interest and deep love to the solfeggio teaching has decided the teacher work earnest direction diligently. Under this basis, we propose the development trend of contemporary vocal music education system with in-depth analysis.

Emotional Problems and Countermeasures in English Learning

The emotional factors play an important role in the process of language learning. Exploration of the emotional problems in the process of English learning can promote the emotional communication between teachers and students. The organic combination of the two aspects of cognitive and emotional can help to finish the promotion of cognitive and education with emotion. People abroad have achieved many results about the research, while further research in domestic is still rare. This paper mainly analyzes the main emotional problems influencing the English leaming, clarifies the importance of using emotional strategy in English learning, points out the way of improving learning effect by affective strategies, thus to guide the students form the corresponding emotion strategy, effectively use in English learning, and improve the English learning.

Optimal Response Learning and Its Convergence in Multiagent Domains

In multiagent reinforcement learning, with different assumptions of the opponents’ policies, an agent adopts quite different learning rules, and gets different learning performances. We prove that, in multiagent domains, convergence of the Q values is guaranteed only when an agent behaves optimally and its opponents’ strategies satisfy certain conditions, and an agent can get best learning performances when it adopts the same learning algorithm as that of its opponents.

The Psycho-Pedagogical Monitoring Research and the Problems of the Quality of Requirements in the Current Educational System

Nowadays, we face many obstacles connected with the high quality education. This sphere forces us to implement new methods and approaches in everyday learning process. The following academic research done on psycho-pedagogical sphere in higher education showed that the enhancement in the educational system is developing slowly because of the lack of research. By all means, it is the right time to follow the objectives and try to develop and suggest the current teaching process using technology that of course will be based on the development of quality control and thesaurus-agency approaches. As mentioned in Bolkan and Goodboy, their research showed that teachers who promote intellectual stimulation empower and enrich students both cognitive and affective getting knowledge and experience process in the classroom. The main objective of current experiment is that it suggests intellectual stimulation which is linked to intrinsic motivation, and that intrinsic motivation has all the advantages to influence students＇ use of effective studying behaviors. According to Dunlosky, Marsh, Nathan, Willingham and Rawson, there are specific techniques which can influence on the overall process of higher education.