A New Extension Theory-based Production Operation Method in Industrial Process

To explore the problems of dynamic change in production demand and operating contradiction in production process, a new extension theory-based production operation method is proposed. The core is the demand requisition, contradiction resolution and operation classification. For the demand requisition, the deep and comprehensive demand elements are collected by the conjugating analysis. For the contradiction resolution, the conflict between the demand and operating elements are solved by the extension reasoning, extension transformation and consistency judgment. For the operating classification, the operating importance among the operating elements is calculated by the extension clustering so as to guide the production operation and ensure the production safety. Through the actual application in the cascade reaction process of high-density polyethylene (HDPE) of a chemical plant, cases study and comparison show that the proposed extension theory-based production operation method is significantly better than the traditional experience-based operation method in actual production process, which exploits a new way to the research on the production operating methods for industrial process.

Building an Ecological Civilization in China： Towards a Practice Based Learning Approach

The adoption by the 18th Congress of the Communist Party of China in November 2012 of a policy on ecological civilization is a landmark event for the nation and the world community. China＇s vision for building an ecological civilization is comprehensive, multi-sectoral and systemic and is intended to direct and balance progress among ecological, economic, social, cultural and political dimensions of change. Some on-going efforts and potential future activities that meet China＇s vision of an ecological civilization are described. Establishment of dedicated ecological civilization areas for experimenting with legal, regulatory and administrative incentives that would facilitate the march towards the ideal is encouraged. Chinese biosphere reserves which are designated with the explicit aim of building harmony between humans and nature would be suitable candidates for designing and developing such dedicated ecological civilization areas.

A new method determining safe thickness of karst cave roof under pile tip

Cave roofs are used to support pile foundation in many engineering projects. Accurate stability analysis method of cave roof under pile tip is important in order to ensure the safety of the pile foundation structure. Firstly the mechanical model to analysis the stability of cave roof under pile tip is founded aiming to solve the problems that the simplified mechanical model has. Secondly, the boundary of cave roof is simply supposed to be supported according to the integrity of the rock mass in the boundary of cave roof. Thirdly, based on the theory of plates and shells, the simplified model is calculated and the theoretical calculation formula to determine the safe thickness of cave roof under pile tip can be obtained when the edges of the cave roof are simply supported. In the end, the analysis of the practical engineering project proves the feasibility and the rationality of the method which can be a new method to calculate the safe thickness of cave roof under pile tip.

Comparative systems biology between human and animal models based on next-generation sequencing methods

Animal models provide myriad benefits to both experimental and clinical research. Unfortunately, in many situations, they fall short of expected results or provide contradictory results. In part, this can be the result of traditional molecular biological approaches that are relatively inefficient in elucidating underlying molecular mechanism. To improve the efficacy of animal models, a technological breakthrough is required. The growing availability and application of the high-throughput methods make systematic comparisons between human and animal models easier to perform. In the present study, we introduce the concept of the comparative systems biology, which we define as "comparisons of biological systems in different states or species used to achieve an integrated understanding of life forms with all their characteristic complexity of interactions at multiple levels". Furthermore, we discuss the applications of RNA-seq and ChIP-seq technologies to comparative systems biology between human and animal models and assess the potential applications for this approach in the future studies.

Optimal Evacuation Scheme Based on Dam-Break Flood Numerical Simulation

The optimal evacuation scheme is studied based on the dam-break flood numerical simulation. A three- dimensional dam-break mathematical model combined with the volume of fluid （VOF） method is adopted. According to the hydraulic information obtained from numerical simulation and selecting principles of evacuation emergency scheme, evacuation route analysis model is proposed, which consists of the road right model and random degree model. The road right model is used to calculate the consumption time in roads, and the random degree model is used to judge whether the roads are blocked. Then the shortest evacuation route is obtained based on Dijstra algorithm. Gongming Reservoir located in Shenzhen is taken as a case to study. The results show that industrial area I is flooded at 2 500 s, and after 5 500 s, most of industrial area II is submerged. The Hushan, Loucun Forest and Chaishan are not flooded around industrial area I and II. Based on the above analysis, the optimal evacuation scheme is determined.

The Practice Research of Task Driving Method in Basic Teaching of Information Technology

Purpose： It is used for judging the advantages and disadvantages of information technology foundation course teaching in health vocational colleges. Method： In teaching, it takes the two classes of 2012 grade nursing major as the experiment object. The comparison class adopts traditonal and speaking-practice combination teaching method and the experiment class adopts task-driving teaching method. When the semester finishes, it conducts testing andd questionnaire survey, collecting the relevant data, analyzing the changes of students in the aspects of performance, learning interest and attitude, autonomous learning consciousness and ability after experiment class adopting new teaching methods. Result： The exam performance of experiment class is obviously higher than the comparison class, and the experiment class has an obvious improvement in the aspects of learning interest, autonomous learning consciousness and ability, and the difference has statistical significance. Conclusion： The task driving teaching method is suitable for the status of information foundation teaching in health vocational colleges, which improves students＇ performance significantly and is good for students＇ learning interest and enthusiasm, obtaining good classroom effect. Also, it makes students＇ autonomous learning consciousness and ability improve greatly.

Controlled Entropy and Gauge Theory in Recycling Condensed Matter by Solar Energy

This article discusses the physical principles to be considered in a thermodynamic engineering solar system running under operational control algorithms designed to minimize entropy rates. The proposed plant is based on scientific foundations established by thermodynamics and classical field theory, and empirical disciplines that deal with properties of chemical elements and with technologies of calorific capture from remote sources. The gauge principle was applied in theoretical formalization as an essential tool in the control background of the entropy rates involved. The industrial system presented was planned to recycle condensed matter within the scope of a solid waste management policy.

Times Series Prediction to Basis of a Neural Network Conceived by a Real Genetic Algorithm

Neural network and genetic algorithms are complementary technologies in the design of adaptive intelligent system. Neural network learns from scratch by adjusting the interconnections betweens layers. Genetic algorithms are a popular computing framework that uses principals from natural population genetics to evolve solutions to problems. Various forecasting methods have been developed on the basis of neural network, but accuracy has been matter of concern in these forecasts. In neural network methods forecasted values depend to the choose of neural predictor structure, the number of the input, the lag. To remedy to these problem, in this paper, the authors are investing the applicability of an automatic design of a neural predictor realized by real Genetic Algorithms to predict the future value of a time series. The prediction method is tested by using meteorology time series that are daily and weekly mean temperatures in Melbourne, Australia, 1980-1990.

EFFICIENT GRADIENT DESCENT METHOD OFRBF NEURAL ENTWORKS WITHADAPTIVE LEARNING RATE

A new algorithm to exploit the learning rates of gradient descent method is presented, based on the second-order Taylor expansion of the error energy function with respect to learning rate, at some values decided by "award-punish" strategy. Detailed deduction of the algorithm applied to RBF networks is given. Simulation studies show that this algorithm can increase the rate of convergence and improve the performance of the gradient descent method.

The Relevance of Vygotsky＇s Developmental Perspective to the Debate on Methodology in Psychological Science

Throughout his work, Lev S. Vygotsky （1896-1934） pursued the objective of reformulating psychological theory. His historical-cultural analysis of the ＂crisis in psychology＂ showed that, beyond contradictions between the two main methodological currents---＂objective/explanatory＂ and ＂subjective/intuitive＂--psychology is primarily influenced by its empirical-sensory foundations. This influence is actually at the origin of the disagreement since it maintains the obligation for the two currents to make reference to empirical-sensory data. Only a general model of the developing human being, assessed by its usefulness, will allow reorienting psychology towards a broader science. This would lead to a general theory of psychology, which could then facilitate the search for tools for an indirect method enabling it to go beyond empiricism.

Updating of the hierarchical rock mass rating(HRMR) system and a new subsystem developed for weathered granite formations

The RMR system is still very much applied in rock mechanics engineering context. It is based on the evaluation of six weights to obtain a final rating. To obtain the final rating a considerable amount of information is needed concerning the rock mass which can be difficult to obtain in some projects or project stages at least with accuracy. In 2007 an alternative classification scheme based on the RMR, the Hierarchical Rock Mass Rating(HRMR) was presented. The main feature of this system was the adaptation to the level of knowledge existent about the rock mass to obtain the classification of the rock mass since it followed a decision tree approach. However, the HRMR was only valid for hard rock granites with low fracturing degrees. In this work, the database was enlarged with approximately 40% more cases considering other types of granite rock masses including weathered granites and based on this increased database the system was updated. Granite formations existent in the north of Portugal including Porto city are predominantly granites. Some years ago a light rail infrastructure was built in the city of Porto and surrounding municipalities which involved considerable challenges due to the high heterogeneity levels of the granite formations and the difficulties involved in their geomechanical characterization. In this work it is intended to provide also a contribution to improve the characterization of these formations with special emphasis to the weathered horizons. A specific subsystem applicable to the weathered formations was developed. The results of the validation of these systems are presented and show acceptable performances in identifying the correct class using less information than with the RMR system.

Developing Computer-Based Design Approach to Foster the Architectural Skills of Undergraduate Students in Design Studios

The paper discusses the importance of computer as a supporting approach in architecture. This approach is expected to foster the students＇ design skills in design studios. The approach is an educational tool for tutors that could guide the students and increase their creativity in their design. It considers the concepts and the practice of digital architectural design that influence architectural education. The approach is a catalyst for creativity, experimentation, critical thinking and the sustained growth of creative communities. The core of design studio is the notions, methods and skills of digital architectural design. The instruments used for this research was an investigation that made for the work of the fourth year students designs at the architectural department at University of Jordan, by testing design process and product of students＇ work： first using manual skills, and then using computer-aided programs. The results revealed that the computer-based design approach was able to foster students＇ design skills as well as to develop their creativity in design. Ninety-one percent of 44 students were found improved in design process using computer-based approach that depends on computer programs. This was done in design studio by improving students＇ way of thinking, developing their abilities to direct their own learning and pushing them for new definitions in developing their future work.

Filtered-beam-search-based approach for operating theatre scheduling

To improve the efficiency of operating rooms, reduce the hospital＇ s costs and improve the level of service qualities, a scheduling method is presented based on a filtered-beam-search-based algo- rithm. Firstly, a scheduling problem domain is described. Mathematical programming models are al- so set up with an objective function of minimizing related costs of the system. On the basis of the de= scriptions mentioned above, a solving policy of generating feasible scheduling solutions is estab- lished. Combining with the speeific constraints of operation theatres, a filtered-beam-search-based algorithm is put forward to solve scheduling problems. Finally, simulation experiments are designed. The performance of the proposed algorithm is evaluated and compared with that of other approaches through simulations. Results indicate that the proposed algorithm can reduce costs, and are of prac- ticality and effectiveness.

The Sociological Analysis on the Teacher＇ s Notion of Judging Students Based on Achievements

There is a popular notion of teachers that they judge a student according to their score. On this basis, teachers developed a systematical thinking method, perspective and way of act. Currently, teachers arrange seats and interact with students and do many other things according to their score sub-consciously. This phenomenon, however, has a long-standing basis on which the school evaluates teachers and teachers evaluate themselves.

Philosophical Foundations of Business Ethics： French Philosophy and Social Theory in Relation to Ethics and Philosophy of Management

This article gives an overview of my book French Philosophy and Social Theory. A Perspective for Ethics and Philosophy of Management, published by Springer 2014. As an extension of my earlier work on French philosophy, this book provides an application of important concepts from contemporary French philosophy to business ethics and the ethics of organizations. Although the book covers a wide range of philosophers and philosophical movements, there is a core and deep unity of the book. This is the demonstration of how the conceptual resources of contemporary French philosophy from the early 20th Century to the present day can be applied to give us new perspectives on business ethics and the ethics of organizations.

On the Factors Analysis of Affecting Listening Comprehension in Learning Foreign Language

The listening teaching to students should not be a passive acceptance process, but the use ot knowledge and non-knowledge of the language of all language information analysis processing and reconstruction of the information process. The paper shows the information that listeners accept relates to a variety of factors, which is a complex psychological process and proactive thinking process. However, due to the weak language basics, unhealthy hearing psychological and incorrect hearing and learning methods seriously affect and hinder the improvement of the hearing ability of college students. Therefore, how to improve the English listening comprehension become the majority of English learners continue to explore the issues. To the right way to learn in a short period of time to improve the level of English listening, it is necessary to grasp the scientific and reasonable learning strategy.

Network Topology Discovery Based on IP Address Inferring

In order to discover more detailed topol- ogy inforrmtion of a certain network, a fightweight approach is proposed, in which only one probe source is required. In this approach, a heuristic method in using the＂ traceroute＂ tool is introduced to collect more topology pieces. Based on those traces, subnets （or point-to-point links） in the backbone can be identified. With those identified inforrmtion, a set of roles is developed to resolve router IP aliases. Experiments with both this ap- proach and existing topology discovery methods are carried out on two real networks, i.e., TUNET, the Tsinghua University campus network, and CERNET （AS4538）, the third largest ISP network of China. According to the comparison, the approach in this paper can get nmch higher quality inforrm-tion about 1P addresses, links, and touters. In con-clusion, a more complete and accurate topology can be gained with this approach.

Complex duality quantum computers acting on pure and mixed states

The aim of this paper is to establish a mathematical fundamental of complex duality quantum computers(CDQCs) acting on vector-states(pure states) and operator-states(mixed states),respectively.A CDQC consists of a complex divider,a group of quantum gates represented by unitary operators,or quantum operations represented by completely positive and trace-preserving mappings,and a complex combiner.It is proved that the divider and the combiner of a CDQC are an isometry and a contraction,respectively.It is proved that the divider and the combiner of a CDQC acting on vector-states are dual,and in the finite dimensional case,it is proved that the divider and the combiner of a CDQC acting on operator-states(matrix-states) are also dual.Lastly,the loss of an input state passing through a CDQC is measured.

A time-series modeling method based on the boosting gradient-descent theory

The forecasting of time-series data plays an important role in various domains. It is of significance in theory and application to improve prediction accuracy of the time-series data. With the progress in the study of time-series, time-series forecasting model becomes more complicated, and consequently great concern has been drawn to the techniques in designing the forecasting model. A modeling method which is easy to use by engineers and may generate good results is in urgent need. In this paper, a gradient-boost AR ensemble learning algorithm (AREL) is put forward. The effectiveness of AREL is assessed by theoretical analyses, and it is demonstrated that this method can build a strong predictive model by assembling a set of AR models. In order to avoid fitting exactly any single training example, an insensitive loss function is introduced in the AREL algorithm, and accordingly the influence of random noise is reduced. To further enhance the capability of AREL algorithm for non-stationary time-series, improve the robustness of algorithm, discourage overfitting, and reduce sensitivity of algorithm to parameter settings, a weighted kNN prediction method based on AREL algorithm is presented. The results of numerical testing on real data demonstrate that the proposed modeling method and prediction method are effective.