While competition has become increasingly fierce in organizations and in the broader market, the research on competition at an individual level is limited. Most existing research focuses on trait competitiveness. We argue that employee competitiveness can be state-like and can be demonstrated as an attitude toward and behavior representative of competition. We therefore propose a dynamic model with two separate components: competitive attitude and competitive behavior. Drawing upon self-determination theory and the person-environment interaction perspective, we examine how employee competitive attitude (...) and competitive behavior can be influenced by both personal characteristics and team climate, which in turn leads to different work outcomes, as demonstrated in two studies. Study 1 developed measures for competitive attitude and competitive behavior. Study 2 collected data from salespeople in a large insurance company in three waves. The results showed that employee competitive attitude and behavior could be predicted by personality. Moreover, employee competitive attitude and behavior were related to sales performance in differential ways via job crafting, and these mediated relationships could be moderated by team climate. These findings support the two-component dynamic model combining competitive attitude and behavior, which helps promote understanding of the dynamics of competition and its consequences at the individual level. Theoretical and practical implications are also discussed. (shrink)

In recent years, with the continuous improvement of urban public transportation capacity, citizens’ travel has become more and more convenient, but there are still some potential problems, such as morning and evening peak congestion, imbalance between the supply and demand of vehicles and passenger flow, emergencies, and social local passenger flow surged due to special circumstances such as activities and inclement weather. If you want to properly guide the local passenger flow and make a reasonable deployment of operating buses, it (...) is necessary to grasp the changing law of public transportation short-term passenger flow. This paper builds a short-term passenger flow prediction model for urban public transportation based on the idea of integrated learning. The goal is to use the integrated model to accurately predict the short-term passenger flow of urban public transportation, using Multivariable Linear Regression, K-Nearest Neighbor, eXtreme Gradient Boosting, and Gated Recurrent Unit as the four seed models, and then use regression algorithm to integrate the model and predict the passenger flow, station boarding and landing, and cross-sectional passenger flow data of the typical representative line 428 in the “Huitian Area” of Beijing from January 1, 2020, to May 31, 2020. Finally, the prediction results of the submodels are compared with those of the integrated model to verify the superiority of the integrated model. The research results of this paper can enrich the short-term passenger flow forecasting system of urban public transportation and provide effective data support and scientific basis for the passenger flow, vehicle management, and dispatch of urban public transportation. (shrink)

Metal roof enclosure system is an important part of steel structure construction. In recent years, it has been widely used in large-scale public or industrial buildings such as stadiums, airport terminals, and convention centers. Affected by bad weather, various types of accidents on metal roofs frequently occurred, causing huge property losses and adverse effects. Because of wide span, long service life and hidden fault of metal roof, the manual inspection of metal roof has low efficiency, poor real-time performance, and it (...) is difficult to find hidden faults. On the basis of summarizing the working principle of metal roof and cause of accidents, this paper classifies the fault types of metal roofs in detail and establishes a metal roof monitoring and fault diagnosis system using distributed multisource heterogeneous sensors and Zigbee wireless sensor networks. Monitoring data from strain gauge, laser ranging sensor, and ultrasonic ranging sensor is utilized comprehensively. By extracting time domain feature, the data trend characteristics and correlation characteristics are analyzed and fused to eliminate erroneous data and find superficial faults such as sensor drift and network interruption. Aiming to the hidden faults including plastic deformation and bolt looseness, an SVM fault diagnosis algorithm based on RBF kernel function is designed and applied to diagnose metal roof faults. The experimental results show that the RBF-SVM algorithm can achieve high classification accuracy. (shrink)

Considering three monetary policy rules, together with two endogenous macroprudential policies that are credit constraints for households and counter-cyclical capital for bankers, this paper establishes a dynamic stochastic general equilibrium model. Based on the welfare analysis of different combinations of macroprudential rules and monetary policy rules, this paper identifies the optimal policy combinations and analyzes the coordination effects between macroprudential policies and monetary policies. The results show that no matter what kind of monetary policy rules is implemented, the introduction of (...) macroprudential rules has improved the level of total social welfare. In the optimal “two pillars” framework of monetary policies and macroprudential rules, the main objective of monetary policy is to stabilize price inflation, and the macroprudential policy to be implemented is the CRR macroprudential policy. This combination can effectively promote the stability of the real estate market, financial market, and macroeconomy, while maximizing the improvement of total social welfare. (shrink)

At present, the news broadcast system using mobile network on the market provides the basic functions required by TV stations, but there are still many problems and shortcomings. In view of the main problems existing in the current system and combined with the actual needs of current users, this paper has preliminarily developed a news broadcast system based on 5G Live. The card frame adaptive strategy significantly improves the user experience by using gradual video frame buffering technology. Hardware codec technology (...) significantly reduces the consumption of system resources; H.264 high-compression algorithm can reduce network bandwidth by 50% compared with MPEG-2 and MPEG-4 without a significant change in image quality. At the same time, the use of mobile video acquisition terminals in the system not only solves the problem that satellite broadcast vehicles cannot reach the site due to the lack of roads but also greatly reduces the cost of early deployment and late maintenance of the news broadcast system. This paper studies the card frame adaptive strategy, the system resource consumption reduction solution, and the deployment scheme of the mobile video and audio transmission terminal, which is of great significance to improve the design and research of the news broadcast system under the wireless network application and also has certain reference value for the design of other broadcasting and television solutions. (shrink)

This book offers an in-depth analysis of Corporate Social Responsibility, gathering contributions by authors from various countries, cultures and political systems. It provides readers with a better understanding of the concept and its implementation in China by pursuing an international approach. The respective contributions examine Corporate Social Responsibility in terms of its close ties to ecology, corporate sustainability and the future of specific industries. The book is the product of two international meetings, the "Ecological Education and Sustainable Development Forum" in (...) Chengdu, China, and the "CSR & Business Sustainability Development Forum" in Shenzen, China. (shrink)

本书着重研究惩罚的社会必要性和心理基础,并分析惩罚的客体、根据、内容和主体,进而构建惩罚的公正、人道和功利原则,并提醒人们注意正义的局限所在以及宽恕的意义。.

本书从法哲学角度对理性及由它而引申出来的法理性和法理念作了系统的研究,并进而对当代吕国法治实践的理念进行了探讨,提出了自己对相关的问题的一些思考.

本书是著者晚年耗费十年心血完成的一部巨著。它以晚清孙诒让《墨子闲诂》为底本,参考近百年学术界有关《墨子》校释的重要见解和发现,提出了许多新的见解。.

This book attempts to reveal Karl Marx’s philosophical critique of the social being in capitalist societies from the text of Capital. Marxists’ different understandings of Capital in different historical periods reveal the rich meaning of Capital, which plays an important role in promoting Marxian philosophy. These different modes of interpretation also mean that the understanding of Capital is endless, because re-reading of Capital will always open up a new realm for the interpretation of Marxian philosophy. Since the financial crisis in (...) 2008, Capital has once again become a hot topic in academic fields. However, in these new interpretations, there is no fundamental breakthrough in the illustration of Marx’s thought, because some either stick to the discussions in pure economic fields, some the revision of Marx’s manuscripts from the perspective of literature compilation, others the role of Engels’ edition. The popularity of Capital mainly stays in a certain emotion and in the internal requirements of critical reflection on capitalist society. (shrink)

本书是浙江大学王元骧教授七十寿庆暨浙江大学文艺学研究所成立五周年纪念文集。全书分为王元骧先生的文艺学道路、文艺学思想的自由探索、文艺学思想的现代性解释三辑。.

The concept of yinyang lies at the heart of Chinese thought and culture. The relationship between these two opposing, yet mutually dependent, forces is symbolized in the familiar black and white symbol that has become an icon in popular culture across the world. The real significance of yinyang is, however, more complex and subtle. This brilliant and comprehensive analysis by one of the leading authorities in the field captures the richness and multiplicity of the meanings and applications of yinyang, including (...) its visual presentations. Through a vast range of historical and textual sources, the book examines the scope and role of yinyang, the philosophical significance of its various layers of meanings and its relation to numerous schools and traditions within Chinese philosophy. By putting yinyang on a secure and clear philosophical footing, the book roots the concept in the original Chinese idiom, distancing it from Western assumptions, frameworks and terms, yet also seeking to connect its analysis to shared cross-cultural philosophical concerns. (shrink)

Divergences and controversies are inevitable in the discussion of freedoms and rights, especially in the matter of reproduction. The Chinese first social egg freezing lawsuit raises the question: is the freedom to freeze eggs for social reasons justified because it is an instance of reproductive rights? This paper accepts social egg freezing as desirable reproductive freedom, but following Harel's approach and considering two theories of rights, the choice and interest theories of rights, we argue that social egg freezing is not (...) a reproductive right because one cannot justify a right or an instance of rights via merely describing the function of those instances that have been justified as right, that is, the choice theory lacks justifying normativity. Since reserving fertility and a suspension from reproduction do not serve reproductive ends per se, the sufficient reason for demanding social egg freezing as a right should be found in other ends rather than in right‐to‐reproduce, that is, the interest theory denies the demand as a right‐to‐reproduce. Permitting it on any grounds without guaranteeing adequate and accessible resources, especially in light of cross‐border reproductive care, raises serious questions about reproductive equality and violates the idea of reproductive rights. Therefore, any ground for social egg freezing should be weighed against whether more pressing reproductive needs, specifically those that are justified as rights, have been met. It would be social progress to shoulder these burdens for the vulnerable and then allow social egg freezing—if right‐to‐reproduce were not the only privilege of the few. (shrink)

Seepage analysis is always a concern in dam safety and stability research. The prediction and analysis of seepage pressure monitoring data is an effective way to ensure the safety and stability of dam seepage. With the timeliness of a change in a monitoring value and lag due to external influences, a RS-LSTM model written in Python is developed in this paper which combines rough set theory and the long- and short-term memory network model. The model proposed calculates the prediction score (...) of the seepage pressure of a dam experiencing multiple effects by preordering factor importance values to eliminate the interference of redundant factors. A case study shows that the water level, rainfall, temperature, and duration are all factors that affect the seepage pressure, and their importance values decrease successively. Thus, the seepage pressure of a dam can be predicted with a determination coefficient R2 of 0.96. Compared with the recurrent neural network model and BP neural network model, the training time of the RS-LSTM model proposed is 6.37 s, and the operation efficiency is 41% and 59% higher than that of the RNN and BP models, respectively. The mean relative error is also 3.00%, which is 50% lower than that of the RNN model and 31% lower than that of the BP model. Based on these results, this model has the advantages of fast computation speed and high accuracy in prediction. (shrink)

This book treats Chinese philosophy today as a global project, presenting the work of both Chinese and Western philosophers.

Binarizing belief aggregation tackles the problem of aggregating individuals’ probabilistic beliefs on logically connected propositions into the group’s binary beliefs. One common approach to associating probabilistic beliefs with binary beliefs would be applying thresholds to probabilities. This paper aims to introduce and classify a range of threshold-based binarizing belief aggregation rules while characterizing them based on different forms of monotonicity and other properties.