方光焘：被遮蔽的新文学作家

作为中国当代语言学家的方光焘,被誉为南派语言学的杰出代表;然而作为新文学作家的方光焘,却鲜为人知。方光焘早年曾积极投身新文学运动,是《创造社》最早的一批社员之一。他不仅亲身实践创作了小说,撰写了多篇文学评论,还翻译推介了大量的日英法等国著名作家的文学作品,合作编译了《文学入门》等理论书籍;他从理论与实际等多方面,支持并推动了中国新文学的发展。从某种程度而言,对方光焘文学创作的梳理与总结,也是对新文学第一代作家的一次学理性追踪。

试析宫本辉《锦绣》中的女性人物形象

宫本辉的书信体小说《锦绣》共由14封书信组成,主要刻画了由加子、亚纪和令子三个女性人物形象。本文通过对这三个女性人物性格、经历的剖析,透视男女主人公找到各自救赎之路的历程,并由此来审视和评价书信往来中提到的"(业障)"。

Towards the Integrating Wind Power into Power Grid in China

With abundant wind resources and high pressure imposed on en-vironmental protection, wind power development has a promising future. Butdue to intermittent nature, wind power can bring into full play only if being con-nected into power grid to ensure its supply reliability and continuity, aswell as operational economy. However, technical and market barriers haveprevented wind power from integrating into power grid. To foster wind powerdevelopment, these barriers should be removed by both government incentivepolicies and sophisticated technologies.

九莲山上的一朵奇葩

俗话说,地以名胜传。九莲山观音寺为人们仰慕,主要是以此处的明代壁画和塑像闻各遐迩的缘故。 此处山如九峰并峙,故有新津十二景之一“莲华接翠”之称。高大雄伟的寺庙,引人入胜。观那殿宇内外,绿竹映红墙,松柏掩禅房,花草铺曲径,月门含翠嶂,飞檐挑云岭,香烟绕古刹,一派清静禅院景象。 毗卢殿内左右两壁有明成化四年(1468年)绘制的十二圆觉菩萨二十四诸天及十三个供养人像,以及佛龛背后的“香山全堂”,共7铺,共计94平方米。

对《金瓶梅词典》一些注释的质疑

王利器先生主编的《金瓶梅词典》,其注释有某些失误,本文就以下几方面对某些词语提出异议:一、释义不全的词.二、释义不准确的词.三、释义不全又不准确的词.四、其他失误.

转换抑郁

清除抑郁这种业力的最好方法是修习金刚萨埵。只要业障还未净除，未来世中，你就要继续承受抑郁的痛苦。

Signed Directed Graph and Qualitative Trend Analysis Based Fault Diagnosis in Chemical Industry

In the past 30 years,signed directed graph(SDG) ,one of the qualitative simulation technologies,has been widely applied for chemical fault diagnosis.However,SDG based fault diagnosis,as any other qualitative method,has poor diagnostic resolution.In this paper,a new method that combines SDG with qualitative trend analysis(QTA) is presented to improve the resolution.In the method,a bidirectional inference algorithm based on assumption and verification is used to find all the possible fault causes and their corresponding consistent paths in the SDG model.Then an improved QTA algorithm is used to extract and analyze the trends of nodes on the consis-tent paths found in the previous step.New consistency rules based on qualitative trends are used to find the real causes from the candidate causes.The resolution can be improved.This method combines the completeness feature of SDG with the good diagnostic resolution feature of QTA.The implementation of SDG-QTA based fault diagno-sis is done using the integrated SDG modeling,inference and post-processing software platform.Its application is illustrated on an atmospheric distillation tower unit of a simulation platform.The result shows its good applicability and efficiency.

Machine learning based online fault prognostics for nonstationary industrial process via degradation feature extraction and temporal smoothness analysis

Fault degradation prognostic, which estimates the time before a failure occurs and process breakdowns, has been recognized as a key component in maintenance strategies nowadays. Fault degradation processes are, in general,slowly varying and can be modeled by autoregressive models. However, industrial processes always show typical nonstationary nature, which may bring two challenges: how to capture fault degradation information and how to model nonstationary processes. To address the critical issues, a novel fault degradation modeling and online fault prognostic strategy is developed in this paper. First, a fault degradation-oriented slow feature analysis(FDSFA) algorithm is proposed to extract fault degradation directions along which candidate fault degradation features are extracted. The trend ability assessment is then applied to select major fault degradation features. Second, a key fault degradation factor(KFDF) is calculated to characterize the fault degradation tendency by combining major fault degradation features and their stability weighting factors. After that, a time-varying regression model with temporal smoothness regularization is established considering nonstationary characteristics. On the basis of updating strategy, an online fault prognostic model is further developed by analyzing and modeling the prediction errors. The performance of the proposed method is illustrated with a real industrial process.

Current status of medical support in military operations other than war in domestic and overseas

Objective: To investigate the current status of medical support in military operations other than war (MOOTW) in domestic and overseas. Methods: This paper mainly adopts the descriptive, comparative and induction research methods. The current status of medical support in MOOTW in China, America, Russia, Israel, Canada, had been studied through some official papers, and series of professional books by analysis the precise date in various kinds of emergency event. Results: The contrast shows that there is still a quite huge development in medical support in MOOTW, no matter in China, or in other countries. Conclusion: In order to strengthen the forces, besides building professional rescue teams, it is necessary to take a regular revise of plans, according to missions` needs.

Overview of the Importance of Intelligent Approaches on Machinery Faults Diagnosis and Prediction Based on Prognostic and Health Management/Condition-Based Maintenance

Condition monitoring is increasingly used to anticipate and detect failures of industrial machines.Failures of machines can cause high maintenance or replacement costs.If neglected,it may result in catastrophic accidents leading to production shrinkage.The potential failure would negatively affect the profitability of the company,including production shut down,cost of spare parts,cost of labor,damage of reputation,risk of injury to people and the environment.In recent years,condition-based maintenance( CBM) and prognostic and health management( PHM) are developed and formed a strong connection among science,engineering,computer,reliability,communication,management,etc.Computerized maintenance management systems( CMMS) store a lot of data regarding the fault diagnosis and life prediction of the machinery equipment.It's too necessary to uncover useful knowledge from the huge amount of data.It's vital to find the ways to obtain useful and concise information from these data.This information can be of great influence in the decision making of managers.This article is a review of intelligent approaches in machinery faults diagnosis and prediction based on PHM and CBM.

Independent component analysis approach for fault diagnosis of condenser system in thermal power plant

A statistical signal processing technique was proposed and verified as independent component analysis(ICA) for fault detection and diagnosis of industrial systems without exact and detailed model.Actually,the aim is to utilize system as a black box.The system studied is condenser system of one of MAPNA's power plants.At first,principal component analysis(PCA) approach was applied to reduce the dimensionality of the real acquired data set and to identify the essential and useful ones.Then,the fault sources were diagnosed by ICA technique.The results show that ICA approach is valid and effective for faults detection and diagnosis even in noisy states,and it can distinguish main factors of abnormality among many diverse parts of a power plant's condenser system.This selectivity problem is left unsolved in many plants,because the main factors often become unnoticed by fault expansion through other parts of the plants.

Youth and Employment： The Effectiveness of the Youth Guarantee Plan in Emilia Romagna and Sicily

The paper presents a comparative analysis of the ＂Youth Guarantee Plan＂ implemented by two Italian regions： Emilia Romagna and Sicily. Within the tradition of the sociology of public action, the study proposes a deepening of the institutional and cognitive analysis of public policies. From the comparison, two distinct models of public action emerge： The first model that implemented by the Emilia Romagna Region, appears more procedural and more founded on the involvement of institutions present in the territory （employment centres, universities, chambers of commerce, professional bodies）, whilst the second model, implemented by the Sicily Region, seems founded mainly on the emphasis placed on the economistic definition of the policy. From the study, most of all, the processes through which the distinct regional public actions succeed in interpreting the innovative potential of the Youth Guarantee Plan and the relations existing between the effectiveness of the policies and the collective meanings that institutions and individuals assign to them, emerge.

Remodeling of the Macedonian Economy

The Macedonian economy gets out relatively little hurt by the global economic crisis not facing with financial crisis, the recession was short-lived, and social crisis emerged in modest sizes. However, the global crisis revealed the major weaknesses of the economic model which was implemented. It turned out that the Macedonian economy is very dependent on the performance of only a few sectors and movements on the prices of its most important export and import products, and that the scope of supply and demand for domestic goods and services is small. These lectures from the economic crisis posed by the need to create a new model for country economic development in the future. The application of historical, statistical, analytical and comparative method shows that Macedonia should exercise other holistic approach in the remodeling of their economy. This means that, besides keeping macroeconomic and financial policy in the future the Macedonian government should act more vigorously in the direction of creating new jobs and provide greater social security. The economic model that we propose in this paper recommends it be done by encouraging small and medium enterprises, diversification of production, encouraging domestic investments, developing human capital, improving infrastructure, encouraging exports and harmonization the macroeconomic instruments. The application of this model will result in increasing investments, industrial production and exports, increasing the competitiveness of domestic products, reducing the trade deficit and maintaining the macroeconomic stability. The general conclusion of the paper is that application of the proposed economic model should lead to realization of two most important goals： achieving lasting, sustainable and significantly higher rates of economic growth and reducing the high rate of unemployment in the country.

STUDY OF REAL-TIME EXPERT SYSTEM TOOL FOR INDUSTRIAL FAULT MONITORING AND DIAGNOSIS

From the requirements of industrial production,an integrated fault monitoring,diagnosis and repairing system is suggested in this paper. This new scheme of fault monitoring and diagnosis system is realized by a master-slave real-time expert system,and a real-time expert system tool for this system is also developed accordingly. As an example of application of this tool ,a realtime expert system for fault monitoring and diagnosis on DC mine hoist is developed. Experiments show that this tool possesses better supporting environment, strong knowledge acquisition ability, and convenience for use. The system developed by this tool not only meets the real-time requirement of DC hoist,but also can give correct diagnosis results.

Multi Boost with ENN-based ensemble fault diagnosis method and its application in complicated chemical process

Fault diagnosis plays an important role in complicated industrial process.It is a challenging task to detect,identify and locate faults quickly and accurately for large-scale process system.To solve the problem,a novel Multi Boost-based integrated ENN(extension neural network) fault diagnosis method is proposed.Fault data of complicated chemical process have some difficult-to-handle characteristics,such as high-dimension,non-linear and non-Gaussian distribution,so we use margin discriminant projection(MDP) algorithm to reduce dimensions and extract main features.Then,the affinity propagation(AP) clustering method is used to select core data and boundary data as training samples to reduce memory consumption and shorten learning time.Afterwards,an integrated ENN classifier based on Multi Boost strategy is constructed to identify fault types.The artificial data sets are tested to verify the effectiveness of the proposed method and make a detailed sensitivity analysis for the key parameters.Finally,a real industrial system—Tennessee Eastman(TE) process is employed to evaluate the performance of the proposed method.And the results show that the proposed method is efficient and capable to diagnose various types of faults in complicated chemical process.

Multi Agent Systems for Fault States Diagnostics and Equipment and Process Management of Yogurt Ripening Tank

It is impossible to plan in advance unpredictable phenomena at monitoring, diagnosis and control of industrial batch and continuous equipment and processes such as chemical composition of the raw materials, the process leads to unexpected reactions and changes its parameters, etc. The agent is active, a program entity, has its own ideas how to perform the tasks of the own agenda. Agents perceive, behave ＂reasonably＂, communicate with other agents. Agents can represent equipment and operations in batch processes as recommended by the ISA $88. Jadex system is based on Java language and on FIPA org. recommendations. The description of ripening tank T406 and recipe for yogurt production in the holding of MADETA Corp. in the Czech Rep. It is described modeling and displaying of＂normal＂ and error, fault unit state of the ripening tank. Agents are within the Jadex system and describing the behavior of ripening tank T406 with state diagrams-automata and assist in diagnosing of fault states. States are described in XML language-SCXML （State Charts XML）. Jadex Control Center-JCC represents a major access point to use for operating in real time.

Agroforestry Initiatives for Capacity Building and Social Security through Captive Plantations on Degraded Lands of Farmers in State Karnataka, India

To meet the demand of raw material, i.e., wood, from the available sources always remained a big challenge for paper industries since the last two decades. For a sustainable supply of raw material in future, major plantation activities were undertaken by paper industries, like West Coast Paper Mills Limited （WCPM）, by constituting a society, i.e., Society for Afforestation, Research and Allied Works （SARA）, Dandeli in 2001. The main aim was to promote afforestation programme through major plantations activities on the degraded lands （under rainfed condition） and to generate employments and capacity building. The WCPM is a leading paper manufacturing industry of the country （under the flagship of Bangur group） located at the bank of Kali River in Dandeli of Uttar Kannada district in State Karnataka. To date, company through SARA has raised captive plantations on more than 50,000 acres of degraded land by farmers in different districts of Maharashtm, Karnataka, Andhra Pradesh and Tamilnadu States under Captive Plantation Project through Contract for Farming （CFF） since 2006 under a simple agreement period of only five years. After five years, society arranged to harvest the first rotation crop of the farmer of 2006, 2007, 2008, 2009 plantations and paid the amount of the crop directly to farmers. SARA has a mutual contract with WCPM for purchasing pulpwood. With this, farmers are getting full amount of their crop harvested after five years without any hurdle through SARA. SARA did all the expenditures, i.e., from land development, plantation and harvesting. Under its agroforestry plantation programme, superior planting material of various pulpwood species suited to particular area, i.e., Eucalyptus, Subabul, Casuarina and Acacia were planted on farmer＇s land. Farmers were also encouraged for intercropping, like maize, peanut （groundnut）, chilly, tomato and ginger with plantations. Apart from this, SARA is also providing free fodder to the livestock of farmers. Various types of fodder species such as Stylosanthes scabra, S. hamata are grown with plantation. SARA has also set up its own hi-tech clonal nursery developing around 5-6 millions of clonal ramets every year through clonal propagation technology. Till date, SARA has received 0.15 million ton （MT） of pulpwood from the plantations on farmer＇s land with a yield of 25-30 MT/acre. This type of activities will prove a boon for farmers as well as for industry, when raw material is going to be short in India. It will also conserve our natural resources, high conservative valued forests （HCVF） and will reduce the pressure on forest for wood. In addition, this will maintain the balance between environment and nature. To meet the requirement of pulpwood for industry, this type of plantation activities will open new ways for industry to secure raw material for future use. Also, this would be helpful to enhance productivity and generate employments for rural communities to improve their living standard and capacity building.

The obstacles and countermeasures of developing function of China＇s Unemployment insurance funds

The function of the unemployment insurance funds arc： ensuring the basic life and stabling employment, preventing unemployment and promoting employment, on the one hand, it guarantee basic livings of the unemploycd, in order to reduce the impact on the individual and society. On the other hand, it also has a function of stabling employment, preventing unemployment and promoting unemployed again obtain employment. In recent years, however, the unemployment insurance fund revenue has been greater than its expenditure, balance funds become more and more, it not only faces a risk of depreciation, also will cause the waste of funds. Therefore, improve the utilization rate of the uncmployment insurance fund itself and expand the function of the unemployment insurance fund, realize the sustainable development of unemployment insurance funds is great significance.

Industrial Fault Signals Propagation and Current Signature Analysis

Motor current signature analysis provides good results in laboratory environment. In real life situation, electrical machines usually share voltage and current from common terminals and would easily influence each other. This will result in considerable amount of interferences among motors and doubt in identity of fault signals. Therefore, estimating the mutual influence of motors will help identifying the original signal from the environmental noise. This research aims at modelling the propagation of signals that are caused by faults of induction motors in power networks. Estimating the propagation pattern of fault signal leads to a method to discriminate and identify the original source of major events in industrial networks. Simulation results show that source of fault could be identified using this approach with a higher certainty than anticipated output coming of any individual diagnosis.

Simulating System for the Investigation of Mechanical Malfunctions Appeared in a Twin AC Drive Used in Cement Industry

In order to investigate the dynamic behavior, to study a variety of operational problems, to apply different control techniques and to suggest functional improvements of a high power electromechanical system, a pilot study on a low power laboratory simulating system is proposed in this paper. Particularly, to investigate operational problems of a twin AC drive with asynchronous machines used for cement kilns, an under-scale laboratory simulating system has been developed and experimental results are being presented in this research work.