关注情感休验 营造习作“情场”

习作教学如何关注学生对生活中的人、事、景、物的情感体验，为学生营造一个习作“情场”，让学生情动而辞发，为情而造文？

A novel speech emotion recognition algorithm based on combination of emotion data field and ant colony search strategy

In order to effectively conduct emotion recognition from spontaneous, non-prototypical and unsegmented speech so as to create a more natural human-machine interaction; a novel speech emotion recognition algorithm based on the combination of the emotional data field （EDF） and the ant colony search （ACS） strategy, called the EDF-ACS algorithm, is proposed. More specifically, the inter- relationship among the turn-based acoustic feature vectors of different labels are established by using the potential function in the EDF. To perform the spontaneous speech emotion recognition, the artificial colony is used to mimic the turn- based acoustic feature vectors. Then, the canonical ACS strategy is used to investigate the movement direction of each artificial ant in the EDF, which is regarded as the emotional label of the corresponding turn-based acoustic feature vector. The proposed EDF-ACS algorithm is evaluated on the continueous audio）＇visual emotion challenge （AVEC） 2012 dataset, which contains the spontaneous, non-prototypical and unsegmented speech emotion data. The experimental results show that the proposed EDF-ACS algorithm outperforms the existing state-of-the-art algorithm in turn-based speech emotion recognition.

Predicting landslide scenes under potential earthquake scenarios in the Xianshuihe fault zone, Southwest China

Earthquake-induced landslides can seriously aggravate the earthquake's destructive consequences and have caused widespread concern in recent decades. The Xianshuihe fault is a large active left-lateral strike-slip fault in the southeast margin of Qinghai-Tibet Plateau, Southwest China, where the frequent strong earthquakes have brought abundant geo-hazards. This study focuses mainly on exploring and predicting the landslide scenes induced by the potential earthquakes. Firstly, the sophisticated Newmark model is improved through landslide cases induced by the Ms7.9 Luhuo earthquake in 1973 to adapt the field seismotectonics of the Xianshuihe fault zone. Then, it is used to predict the landslide scenes under one speculated potential earthquake scenario with the similar focal mechanism with the Luhuo earthquake. The preliminary results show that the slope displacement resulted from Newmark model can reflect spatial distribution characteristics ofearthquake-induced landslides. The predicted potential earthquake-induced landslide scenes present an obvious extending trend along the Xianshuihe fault. The landslide hazard is greater in the northeast regions than southwest regions of the Xianshuihe fault, where there are more complex topographic conditions. The study procedure will be a helpful demonstration for exploration and prediction of landslide scenes under potential earthquakes in the regions with high seismic activity.

Analysis on China’s Petroleum Imports and Exports in 1st Half of 2005

In the first half of 2005. the import of erude oil increased 4% up of the same period, but the net import of petroleum products including crude oil, oil products, liquefied petroleum gas （LPG） and others declined 7% of the same period last year. As the oil price in international market continuously climbs up and creates new records,

The marketing situation and measures of the network sporting goods

This article describes the present situation of network sporting goods and analyzes the problem of sporting goods that exists on the network marketing, in addition, we propose marketing strategies, also, we have some suggestions on the sustainable developmem of the network marketing of sporting goods.

Network Forum Affects the Stock Market： An Empirical Analysis Based on Multivariate GARCH-BEKK Model

Based on the text of posing on the network forum, the authors establish a set of keyword dictionary to measure the long and short investors＇ sentiment effectively, then they investigate the mutual relations between investor sentiment and the trading market through a Multivariable BEKK-GARCH model of abnormal long and short investor sentiment, returns, and abnormal trading volume. The results show that abnormal sentiment of long investor has a negative impact on the returns and a positive impact on the abnormal trading volume; while abnormal sentiment of short investor has no impact on the return and a negative impact on the abnormal trading volume. Otherwise, there is the negative volatility effect from abnormal sentiment of long investor to returns and abnormal trading volume, the positive volatility effects from abnormal sentiment of short investor to returns, and no volatility effects from abnormal sentiment of short investor to abnormal trading volume. In addition, network forum investor sentiment is a factor affecting the trading market. The analysis of forum information plays a certain role in presenting market risk and improving efficiency in making investment decision.

Following Domo-Kun： The Commoditization of Cultural Objects in the Global Market

This paper analyzes and attempts to bridge the gap between popular culture＇s aesthetics, popularized by Camille Paglia and her work Sex, Art and American Culture： Essays （1992], and international marketing culture＇s aesthetics, as described by Schmitt and Simonson （1997）. Popular culture and marketing rarely share the same realm of research. However, these theories start to influence each other, which are especially visible when compared with international marketing as the framework. In order to analyze the gap between popular culture and marketing culture, the author followed a cultural object, Domo-kun, as it entered the US market. Domo-kun gradually changed, including its marketing aesthetics, its significance, and meaning within popular culture after it entered the market. These meaning changes are through the process of commoditization, emotional value, and how they are reinterpreted within cultural frames and reference groups.

Study based on ＂Situational Rationality＂ hypothesis for customer market classification model

The traditional market segmentation was based on ＂transcendental rationality＂ or ＂Situational Rationality＂, studies shows that it had disadvantages. This paper states the ＂Situational＂ integrated rationality hypothesis and then comes up with the market segmenting models and classification algorithm basing on this hypothesis. This algorithm combined the Rough Set theory and Neural Networks in application, which overcome the dilemma that caused complicated network structure and long training time by only using Neural Networks and influenced the classification precision caused by noise disturbance by only using Rough Set methods. Finally, the paper did a comparison experiment between the traditional method and the method we came up, the results shows that the model and algorithm has its advantage on every aspects.

Using Successive Multi-Goals Method in the Individual-Based Model to Simulate Crowd Behavior during Evacuation Processes

The fact of proportional population growth in many countries drags the attention of researchers in the field of crowd dynamics to the need for developing reliable models to predict the behavior of human crowds in emergency situations such as evacuation processes. Computer based models that simulate human crowd dynamics prove to offer the optimum way to predict the crowd realistic behavior especially in emergency situations. This paper presents a vital extension of my previous work in which an individual-based model to simulate the behavior of human crowd was developed using the artificial potential fields to describe the interaction forces between each crowd member and the environment on one side and amongst the crowd members on the other side to add realistic flavor to the predicted crowd behavior. In this paper, the successive multi-goals （SMG） method, which is a new method to represent the environment in which the crowd moves, is developed. Rather than using the traditional static potential field, the successive multi-goals method uses a dynamic potential field which is vital to solve the reactive problem that is considered as a drawback of the model when simulating the human crowd behavior during evacuation of buildings whose structures are complex such as bottlenecks and narrow corridors. Numerical results that match the real behavior of human individuals in emergency situations prove the efficiency of the new method to solve the problem on an individual basis as well as its applicability.

Study on the Current Implementation Situation of the Independent Director System in China＇s Listed Companies

The independent director system, as an effective measure to improve the corporation governance structure of China＇ s listed companies, is focused by more and more people at the capital market. In this paper, the proportion of independent directors in the board of directors, and the actual condition, compensation, and duties performing of independent directors are analyzed by taking A-share listed companies in Shanghai Stock Exchange as an example, so that the current implementation situation of the independent director system in China＇ s listed companies is analyzed deeply through the empirical method. Finally, suggestions for its imorovement are orooosed.

Dispositional Trait, Discrete Emotion, and Occupational Commitment

Accompanied by growing dispatched workers in workplace, occupational commitment is more important than ever. Despite the importance of understanding the emotional aspects of occupational commitment, previous research has paid less attention to the role of emotion in occupational commitment. This article attempts to fill this gap by examining the relationship between dispositional trait and occupational commitment. The study examined how two dispositional traits-neuroticism and extroversion-influence occupational commitment through the linking of two discrete emotions including fear and enthusiasm. A survey study with questionnaires was conducted and sample consisted of 144 respondents from the home carers in Taiwan. The predictions were then tested through the SEM approach, with acceptable fit resulted. Results showed that enthusiasm mediated the effect of extroversion on occupational commitment but fear partially mediated the impact of neuroticism on occupational commitment. These findings suggest that workers with distinguish dispositional trait have different occupational commitment, supporting the mediating role of discrete emotion on the relationship between dispositional trait and occupational commitment.

DEPENDENCE BETWEEN STOCK RETURNS AND INVESTOR SENTIMENT IN CHINESE MARKETS:A COPULA APPROACH

Using data of newly opened stock trading accounts in China as a proxy of investor sentiment index, the authors employ the time-varying copula-GARCH model with Hansen＇s skewed Student-t innovations to investigate the dynamic dependence between investor sentiment and stock returns. The empirical findings show that shifts in investor sentiment are asymptotically positively correlated to stock returns in extreme value situations in both A shares market and B shares market in China, that is to say, stock prices will increase （decrease） more when investors become more bullish （bearish）. Also, results show that the dependence between investor sentiment and stock returns is time-varying, which means that the traditional Pearson＇s correlation based on normal distribution is not enough to describe the relationship between stock market behavior and investor behavior.

An Enhanced Safe Distance Car-Following Model

Gipps' model, a well-known safe distance car-following model, has a very strict restriction on the car-following behavior that the following vehicle has to maintain the exact safe distance to the leading vehicle to avoid rear crash. However, this restriction is not consistent with the real traffic condition. Due to that, an enhanced safe distance car-following model is proposed first, and then calibrated and evaluated using the field data. Furthermore, the simulation is conducted to analyze the characteristics of the new model. The results of evaluation and simulation illustrate that the proposed model has higher simulation accuracy than the original Gipps' model, and can reproduce the stable flow and shock wave phenomena that are very common in real traffic.Moreover, the simulation results also prove that the enhanced model can better stabilize the traffic flow than Gipps' model.

DOES INVESTOR SENTIMENT PREDICT STOCK RETURNS? THE EVIDENCE FROM CHINESE STOCK MARKET

This paper examines the proxy variables of investor sentiment in Chinese stock market carefully, and tries to construct an investor sentiment index indirectly. We use cross correlation analysis to examine lead-lag relationship between the proxy variables and HS300 index. The results show that net added accounts （NAA）, SSE share turnover （TURN）, and closed-end fund discount （CEFD） are leading variables to stock market. The average first day return of IPOs （RIPO） and relative degree of active trading in equity market （RDAT） are contemporary variables, while number of IPOs （NIPO） is a lagging variable of stock market. Using the sentiment proxy variables with most possible leading order, and forward selection stepwise regression method, the empirical results on monthly stock returns reveal that three leading proxy variables can be used to form a sentiment index. And the out of sample tests prove that this sentiment index has good predictive power of Chinese stock market, and it is robust.

An Exotic Phase Change in Dynamic Electrorheological Fluids

It is well known that constant or time-varying electric fields can induce phase changes in electrorheological(ER) fluids, from a liquid to semi-solid state, provided the field strength is larger than some critical value. We describe here an experimental and theoretical study considering yet a different class of phase changes, specifically those for an ER fluid in the presence of both shear flow and a time-varying electric field. We note that as the frequency of the field is decreased, the ER fluid will go from a liquid to an intermediate transition state, and eventually to a shear banding state. Our theoretical analysis further indicates that this phase change originates from competing effects of viscous and electrical forces. Ultimately, we conclude that it is possible to achieve various states and corresponding(desired)macroscopic properties of dynamic colloidal suspensions by adjusting the frequency of the externally applied electric field.