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Man has been seeking an ideal existence for a very long time. In this existence, justice, love, and peace are no longer words, but actual experiences. How ever, with the American preemptive invasion and occupation of Afghanistan and Iraq and the subsequent prisoner abuse, such an existence seems to be farther and farther away from reality. The purpose of this work is to stop this dangerous trend by promoting justice, love, and peace through a change of the paradigm that is inconsistent with justice, love, and peace. The strong paradigm that created the strong nation like the U.S. and the strong man like George W. Bush have been the culprit, rather than the contributor, of the above three universal ideals. Thus, rather than justice, love, and peace, the strong paradigm resulted in in justice, hatred, and violence. In order to remove these three and related evils, what the world needs in the beginning of the third millenium is the weak paradigm. Through the acceptance of the latter paradigm, the golden mean or middle paradigm can be formulated, which is a synergy of the weak and the strong paradigm. In order to understand properly the meaning of these paradigms, however, some digression appears necessary.

The purpose of this study is to improve the global optimization ability of the Tabu search (TS) algorithm, and then improve the calculation efficiency and accuracy of rolling schedule in tandem cold rolling.

A case-based reasoning–Tabu search hybrid algorithm (CBRTS) has been presented. First, the case-based reasoning technology was adopted to obtain high-quality initial solution and then the TS algorithm was used for global optimization.

The optimization effect of CBRTS is compared with that of the traditional TS algorithm, and the analysis result indicates that the CBRTS has a faster convergence rate than TS, and the optimization results are closer to the global optimal. Meanwhile, the rolling schedule calculated by CBRTS is more reasonable, which can increase the production efficiency while giving full play to the capacity of equipment.

A CBRTS hybrid algorithm is presented. The strong dependence of the TS algorithm on the initial solution has been solved. The rolling schedule multi-objective optimization functions are established. The proposed algorithm is applied in a 1,450-mm tandem cold rolling production line. The improved method can reduce about half the iterations compared with the traditional one.

The purpose of this paper is twofold: first, determining which factors critically influence asymmetrical trust behaviors in construction projects within the Chinese context; second, proposing corresponding measures to deal with the asymmetrical behaviors of both the owner and the contractor promoting cooperative relationships among participants in construction organizations.

A theoretical model was developed and a questionnaire survey was conducted with 183 professionals. The data collected were analyzed by the structural equation modeling (SEM) technique.

The results identified six critical factors influencing trust asymmetry behavior in construction projects. The power imbalance, information asymmetry and cognitive difference have a positive influence on both upward-trust behavior and downward-trust behavior in the construction organization, while the competence, performance capacity and relationship satisfaction have negative effects.

This paper based on the assumption that trust asymmetry behavior has a negative impact on project performance, which should be further studied. Besides, future research may carry out a comparative analysis among the trusting relationships and behavior of different participants dynamically.

This paper contributes to the literature in three aspects. First, the factors influencing trust behavior in project organization have been identified for the first time. Second, a comprehensive view of trust asymmetry behavior has been theorized by SEM method. Third, the result bridges the existing gap caused by the lack of empirical evidence to understand the genetic mechanisms of trust asymmetry behavior in the construction industry.

In the process of cold rolled strip, there is tight coupling between flatness control and gauge control. The variation of the roll gap caused by the change of bending force will lead to the change of rolling force. Furthermore, it can cause a deep impact on the control accuracy of strip exit thickness and exit crown. The purpose of this paper is to improve the accuracy of the bending force preset value for cold rolled strip.

In this paper, the bending force preset control strategy with considering of rolling force was proposed for the first time and the preset objective function of bending force was established on the basis of the two-objective optimization of bending force and rolling force. Meanwhile, the multi-objective intelligent algorithm – INSGA-II – was used to solve the objective function.

The proposed bending force multi-objective preset model has been tested in a 1,450 mm tandem cold rolling line. The analyzed results of field data show that the deviations of strip exit thickness and exit crown are reduced effectively by using the improved model, and at the same time, more reasonable bending force preset values are obtained, which can enhance the accuracy of flatness preset control.

A preset model of bending force with considering flatness and gauge is proposed in this paper and the multi-objective function of bending force preset is established on the basis of the two-objective optimization of bending force and rolling force. The value lies in proposing a new decoupling method of rolling force and bending force.

For gravity dams built on foundations with directional joint sets, the seepage in the foundation possesses anisotropic characteristics and may have adverse effects on the foundation stability. A methodology for system reliability analysis of gravity dam foundations considering anisotropic seepage and multiple sliding surfaces is proposed in this paper.

Anisotropic seepages in dam foundations are simulated using finite element method (FEM) with the equivalent continuum model (ECM), and their effect on dam foundation stability is involved by uplift pressures acting on the potential sliding surfaces. The system failure probability of the dam foundation is efficiently estimated using Monte Carlo method (MCM) combined with response surface method (RSM).

The case study shows that it is necessary to consider the possibly adverse effect of anisotropic seepage on foundation stability of gravity dams and the deterministic analysis of the foundation stability may be misleading. The system reliability analysis of the dam foundation is justified, as the uncertainties in shear strength parameters of the foundation rocks and joint sets as well as aperture, connectivity and spacing of the joint sets are quantified and the system effect of the multiple potential sliding surfaces on the foundation reliability is reasonably considered.

(1) A methodology is proposed for efficient system reliability analysis of foundation stability of gravity dams considering anisotropic seepage and multiple sliding surfaces (2) The influence of anisotropic seepage on the stability of gravity dam foundation  is revealed (3) The influence of estimation errors of RSMs on the system reliability assessment of dam foundation is investigated.

This paper aims to analyze the situation of knowledge dissemination in Chinese rural areas and explore factors that affect the efficiency of knowledge dissemination, to provide some suggestions for further improvements.

A survey was conducted to collect data in 17 provinces of China, with 267 questionnaires returned out of 300. Structural equation modeling was used to test the hypothesis with LISEREL 8.8.

The results show that factors of knowledge such as government participation, dissemination capability, learning motivation and trust have a positive effect on knowledge transfer. By contrast, factors of knowledge such as complexity and richness of knowledge carriers do not have a significant correlation with the knowledge sharing level.

This paper conducts a cross-sectional analysis while ignoring the longitudinal effects of some factors on knowledge dissemination, such as the reform and opening policy in China. An analysis on a more concrete problem could be conducted for future study.

This paper proposes some suggestions to enhance the efficiency of knowledge dissemination in rural areas from the knowledge dissemination mode, knowledge products and the role of government playing.

This paper is among the first attempts to conduct comprehensive and systematic research on the influential factors of knowledge dissemination. It contributes to literature by offering a systematical empirical study with the consideration of the role of government in knowledge dissemination.

Gives an in depth view of the strategies pursued by the world’s leading chief executive officers in an attempt to provide guidance to new chief executives of today. Considers the marketing strategies employed, together with the organizational structures used and looks at the universal concepts that can be applied to any product. Uses anecdotal evidence to formulate a number of theories which can be used to compare your company with the best in the world. Presents initial survival strategies and then looks at ways companies can broaden their boundaries through manipulation and choice. Covers a huge variety of case studies and examples together with a substantial question and answer section.

The purpose of this paper is to explore the inherent problem of Senge’s learning organization, embedded in his seminal work, The Fifth Discipline: The Art and Practice of the Learning Organization. The authors contend that such a problem has an enduring quality that leads to a highly problematic state of learning organization, and a radical shift in the understanding is necessary.

This paper is based on a critical review of relevant literature in the areas of learning organization. Some of Senge’s own works will also be reviewed.

This paper contends that Senge’s project of learning organization is a managerial attempt to remove bureaucracy and, as such, the concept of learning has been displaced from the outset. Hence, the theory of learning organization offers a weak response to the pressing issues such as climate and global warming. While some of Senge’s other works seem to show an awareness of the necessity of new managerial visions, the authors argue that what is required is a scrutiny of the belief that corporations are able to achieve a wider social and ecological goal.

This paper offers a radical account of Senge’s concept of learning organization, including Senge’s dialogue with Nan Huai-Jin, published in Chinese. The authors question the mysterious state of learning in Senge’s learning organization and offer a possible new account of learning organization.

Narrates the discussion between Juan (a corporate executive of a multinational company) and Audrey (an independent environmental consultant) when they sit next to each other on a flight. Explains, through the dialogue, some of the environmental pitfalls companies can encounter when basing operations in the USA, such as regulations relating to clean air, clean water, emissions, toxic pollutants, land use restrictions, species protection plans etc.). Makes the point that it is individuals who face civil and criminal penalties for breaking these regulations, not the company. Provides an overview of US environmental regulations and recommends that companies can avoid falling foul of the law through education, training and taking legal advice. Mentions ISO 14000 and 14001 environmental standards as a potential way forward, although they do not yet carry any weight under US law.

The purpose of this study is to investigate the research on the influence of tech-innovation behavior on tech-innovation performance for Chinese manufacturing enterprises. Environmental performance has been taken into consideration with the green manufacturing and sustainability philosophy being a hotspot.

To verify the hypotheses and assumptions, a questionnaire was designed and a semi-structured interview was conducted for data collection. In addition, structural equation modeling (SEM) is applied to verify the influence model through assessing the fitting indexes based on the 317 questionnaire responses in the form of Likert-type scale.

Tech-innovation behavior and activity from direction, mode and investment behavior dimensions show their different positive influences on tech-innovation performance. This paper has creatively taken environmental tech-innovation performance into consideration, as well as economic performance. This investigation has provided the interpretation for each individual enterprise from three dimensions when conducting tech-innovation activity.

Tech-innovation behavior, which has been a subject of extended discussion during recent decades, is the effective activity or action for tech-innovation. However, there have not been any studies on the environmental performance influence study, as well as the economic performance from these three dimensions and framework.

As this paper discusses the tech-innovation performance influence study from three dimensions, individual enterprises can choose the corresponding action for the proper tech-innovation path, especially for small- and medium-sized enterprises.

This study helps managers recognize tech-innovation activities for better tech-innovation performance based on the empirical study.