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The purpose of this paper is to assess the water resources vulnerability (WRV) rationally in Haihe River Basin (HRB) using set pair analysis (SPA) theory.

An improved intelligent set pair analysis (IISPA) model is established, in which intelligent SPA theory is introduced and the weights are determined by use of the maximum entropy principle and the improved analytic hierarchy process method. The index systems and criteria of WRV assessment in terms of water cycle, socio-economy, and ecological environment are established based on the analysis of sensibility and adaptability.

The authors apply IISPA to the WRV assessment of seven administrative divisions in HRB. Results show IISPA can fully take advantage of certain and uncertain information compared with fuzzy assessment and topsis assessment models. For present situation, Shanxi, Shandong, Tianjing, Inner Mongolia, Hebei are higher, Henan and Beijing are the middle vulnerability. But Henan will become worse under climate change scenario II and IV.

The analysis results may be affected by the limited climate change data.

It is helpful for further research to the complexity analysis of water resources system.

This paper will have an important impact on water resources sustainable utilization.

This is the first time to utilize IISPA method to analyze the WRV of seven administrative divisions in HRB. This paper provides an important theoretical support for water resources management.

The purpose of this paper is to find a novel optimization selection method for hyper‐parameter of support vector classification (SVC), responsible for the classification of datasets from the UCI machine learning database repository.

A novel two‐stage optimization selection method for hyper‐parameters is proposed. It makes use of explicit information derived from issues and implicit knowledge extracted from the evolution process so as to improve the performance of classifier. In the first stage, the search extent of each hyper‐parameter is determined according to the requirements of issues. In the second stage, optimal hyper‐parameters are obtained by adaptive chaotic culture algorithm in the above search extent. Adaptive chaotic cultural algorithm uses implicit knowledge extracted from the evolution process to control mutation scale of chaotic mutation operator. This algorithm can ensure the diversity of population and exploitation in the latter evolution.

The rationality of the above optimization selection method is proved by the binary classification problem. Final confirmation of this approach is the classification results compared with other methods.

This optimization selection method can effectively avoid premature convergence and lead to better computation stability and precision. It is not related on the structure of functions. SVC model corresponding to optimal hyper‐parameters by this method has better generalization.

The purpose of this paper is to study the operational efficiency of aerospace industry in China and compare the difference in efficiency between the private aerospace enterprises and the state-owned aerospace enterprises. This paper enriches the study on evaluating the operational efficiency of aerospace industry and develops the theory on aerospace industry management.

The sample comprises all the aerospace enterprises listed in the A share market for which financial data are collected from the RESSET for subsequent analysis. Data envelopment analysis (DEA) and Malmquist productivity index (MPI) are used to derive findings.

The paper finds both the scale and the technical level of the industry increased during the period, and this was mainly due to the growth of the state-owned enterprises. However, with the increase of scale, the total factor productivity of the sample decreased. This was mainly because the performance of the leading enterprises regressed. Overall, the operational efficiency of the industry was still relatively low. By comparing the private enterprises and the state-owned enterprises, this paper finds, in terms of scale, the private enterprises were far lower than the state-owned enterprises. However, as for operational efficiency, the private was more efficient, which indicates an imbalance in the development of the industry.

This paper explores the operational efficiency across the Chinese aerospace industry, a focus currently lacking in research, presenting an overview of the industry and examining the difference in efficiency between the private aerospace enterprises and the state-owned aerospace enterprises to provide policymakers and managers with some practical suggestions to promote the development of the industry.

The purpose of this paper is to analyze the role and importance of the tangible elements of purchase processes in business to customer (b2c) electronic commerce, as well as the impact on overall perceived quality and the customers' attitudes.

The database for this study was obtained from a sample of 191 individuals who had purchased on the internet. The techniques used in the statistical analysis of the data were the following: principal component, analysis structural equations and regression analyses.

The paper finds that four attributes – navigation, signposting, tools and explanation – explain the tangible dimension in electronic commerce. In the data resulting from the analyses, design is seen as an important factor of overall perceived quality and the willingness to recommend the purchase experience to others.

If the company acts positively in the design, this will favorably affect overall perceived quality, but this is not enough to make a customer repeat. In future research, other dimensions which could retain the customers must be investigated.

The proposed scale to measure the dimension design could help firms to set an optimum design of their web sites, because a muddled and complex design represents a significant obstacle and may constitute a valid reason for a potential customer to decide not to return to the site.

Companies operating on the internet will find some suggestions in this paper on how to achieve competitive advantage through the optimum design of their web sites.

The purpose of this paper is to examine the indigenous Chinese concept of suzhi (素质) with the aim of furthering the development of Chinese human resource management (HRM) research and practice.

An extensive review of the literature on suzhi, published in the West, as well as in China, is the basis for proffering an organizational-level conceptualization of suzhi in the Chinese context.

Instead of understanding it as a free-floating signifier, we argue that suzhi can be considered as a criterion-based framework for HRM research and practice. Suzhi research is classified into two major sources – indigenous Chinese and indigenized Western constructs. We further make a distinction between intrinsic and extrinsic suzhi, and analyze a popular set of suzhi criteria, considering de (morality) and cai (talent), while focusing on de in HRM selection (德才兼备, 以德为先). As multilevel and multidimensional framework, suzhi criteria may form different gestalts in different organizations and industries.

From a social cultural and historical perspective, HRM research that incorporates a combination of indigenous and indigenized suzhi characteristics may receive better acceptance by individuals, organizations and the society in the Chinese context. Accordingly, the reconstruction of suzhi into manageable and measurable dimensions can be undertaken for more effective HRM practice in the Chinese context.

The HRM literature is advanced by linking the indigenous suzhi discourse to Chinese indigenous HRM research and practice.

A new cutting tool is always well-defined and sharp at the onset of the metal cutting process and gradually losses these properties as the machining process advances. Similarly, at the beginning of the machining process, amplitude of tool vibrations is considerably low and it increases gradually and peaks at the end of the service period of the cutting tool while machining. It is significant to provide a corresponding real-time varying damping to control this chatter, which directly influences accuracy and quality of productivity. This paper aims to review the literature related to the application of smart fluid to control vibration in metal cutting and also focused on the challenges involved in the implementation of active control system during machining process.

Smart dampers, which are used as semi-active and active dampers in metal cutting, were reviewed and the research studies carried out in the field of the magnetorheological (MR) damper were concentrated. In smart materials, MR fluids possess some disadvantages because of their sedimentation of iron particles, leakage and slow response time. To overcome these drawbacks, new MR materials such as MR foam, MR elastomers, MR gels and MR plastomers have been recommended and suggested. This review intents to throw light into available literature which exclusively deals with controlling chatter in metal cutting with the help of MR damping methods.

Using an MR damper popularly known for its semi-active damping characteristics is very adaptable and flexible in controlling chatter by providing damping to real-time amplitudes of tool vibration. In the past, many researchers have attempted to implement MR damper in metal cutting to control vibration and were successful. Various methods with the help of MR fluid are illustrated.

A new cutting tool is always well-defined and sharp at the onset of metal cutting process and gradually losses these properties as the machining process advances. Similarly, at the beginning of the machining process, amplitude of tool vibrations is considerably low and it increases gradually and peaks at the end of service period of cutting tool while machining. Application of MR damper along with the working methodology in metal cutting is presented, challenges met are analyzed and a scope for development is reviewed.

This study provides corresponding real-time varying damping to control tool vibration which directly influences accuracy and quality of productivity. Using an MR damper popularly known for its semi-active damping characteristics is very adaptable and flexible in controlling chatter by providing damping to real-time amplitudes of tool vibration.

This study attempts to implement smart damper in metal cutting to control vibrations.

It is significant to provide corresponding real-time varying damping to control tool vibration which directly influences accuracy and quality of productivity.

Computer aided process planning (CAPP) is an effective way to integrate computer aided design and manufacturing (CAD/CAM). There are two key issues with the integration: design input in a feature‐based model and acquisition and representation of process knowledge especially empirical knowledge. This paper presents a state of the art review of research in computer integrated manufacturing using neural network techniques. Neural network‐based methods can eliminate some drawbacks of the conventional approaches, and therefore have attracted research attention particularly in recent years. The four main issues related to the neural network‐based techniques, namely the topology of the neural network, input representation, the training method and the output format are discussed with the current systems. The outcomes of research using neural network techniques are studied, and the limitations and future work are outlined.

Given the unique cultural-political context of China, this paper aims to investigate two research questions: What has been the development trajectory of policy-making on consumer privacy protection in China, and what factors have shaped its development over the years?

This paper adopts a historical approach and examines the development of Chinese consumer privacy policy during four periods: 1980s, 1990s, 2000s and 2010-present.

Chinese policy-making on consumer privacy protection has made steady advancement in the past few decades due to factors such as technological development, elite advocacy and emulation of other markets; however, the effects of these factors are conditioned by local forces.

To date, most studies of consumer privacy issues have focused on Western countries, especially the European Union and the USA. A better understanding of how consumer privacy policy has developed in China provides important lessons on the promotion of consumer privacy protection in other developing countries.

The purpose of this paper is to identify the roles of trait affectivity and momentary moods in conflict frames and conflict management. This paper goes beyond affect induction and focuses on the affective – rather than rational – antecedents of the choice of conflict management strategy.

This paper adopts a within- and between-person approach and uses hierarchical linear modeling to test the hypotheses with group-mean centering. Over the course of 12 days within a three-week period, the authors collected participants’ momentary moods and how they thought about and would respond to conflict scenarios. Data were gathered from 1,545 observations, involving 180 individuals.

After controlling for anger raised from the conflict scenario, both positive trait affectivity and positive momentary moods were found to be positively related to a compromise frame. Surprisingly, neither negative trait affectivity nor momentary mood was related to the win frame. A compromise frame predicted a cooperative strategy, and a win frame predicted a competitive strategy. The relationships between trait and momentary affects and conflict management strategy were partially mediated by conflict frame, but only for positive affects.

If seeking a constructive resolution, choose the right person (i.e. an individual with positive trait affectivity) and the right moment (i.e. the individual is in a positive mood state) to communicate disagreements.

This paper sheds light on the prediction of conflict frame and conflict management behavior by testing trait affectivity and momentary mood simultaneously.

To develop electrode materials for supercapacitor with superior electrochemical performance and simple preparation process, the purpose of this study is to prepare flexible CC/NiS/a-NiS electrodes with self-supporting structure by loading hydrothermally synthesized a-NiS particles along with nano-NiS on carbon cloth by electroplating method.

The effects of current densities, temperatures and pH values on the loading amount and uniformity of the active substances during the plating process were investigated on the basis of optimization of surface morphology, crystalline structure and electrochemical evaluation as the cyclic voltammetry curves, constant current charge–discharge curves and AC impedance.

The a-NiS particles on CC/NiS/a-NiS were mostly covered by the plated nano-NiS, which behaved as a bulge and provided a larger specific surface area. The CC/NiS/a-NiS electrode prepared with the optimized parameter exhibited a specific capacitance of 115.13 F/g at a current density of 1 A/g and a Coulomb efficiency of 84% at 5 A/g, which is superior to that of CC/NiS electrode prepared by electroplating at a current density of 10 mA/cm², a temperature of 55°C and a pH of 4, demonstrating its fast charge response of the electrode and potential application in wearable electronics.

This study provides an integrated solution for the development of specifically structured NiS-based electrode for supercapacitor with simple process, low cost and high electrochemical charge/discharge performance, and the simple and easy-to-use method is also applicable to other electrochemically active composites.