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The purpose of this paper is to propose a method to estimate the magnetic saturation and end effect of linear switched reluctance machines (LSRMs) with fully pitched winding configuration used in the wave energy conversion.

The magnetic saturation and strong coupling make it very difficult to derive a comprehensive mathematical model for the behavior of the LSRMs. Meanwhile, the various end effects could not be comprehensively considered in the two‐dimensional model which is widely studied. Therefore, the magnetic equivalent circuit model including the three‐dimensional (3‐D) effects is presented in this paper and 3‐D finite element analysis (FEA) is used to validate the mathematical model.

The results from 3‐D FEA are in good agreement with the numerical simulation, which validates the accuracy of the magnetic equivalent circuit modeling method.

This technique helps one to know the influence exerted by the magnet saturation and end effect of LSRMs and provides a powerful computer‐aided analysis tool. Meanwhile, this modeling method supplies accurate values for the following study of reliable control algorithm.

The paper presents a magnetic equivalent method to estimate the magnetic saturation and end effect of LSRMs with fully pitched winding configuration used in the wave energy conversion.

The purpose of this paper is to explore the combined influence of exchange quality (i.e. leader-member exchange or LMX, and coworker exchange or CWX) and organizational identity on the relationship between authoritarian leadership and employee innovation based on social cognition theory and social exchange theory.

The authors used mediation analysis, moderation analysis and bootstrapping method to test the proposed model with data from 286 supervisor-subordinate dyads in China, covering manufacturing and Internet companies. This study also used the time-lag design, and the questionnaires were collected by means of multi-source and multiphase.

The results indicate that authoritarian leadership can positively influence employee innovation behavior, and organizational identity mediates this relationship. Both LMX and CWX can significantly moderate the relationship between authoritarian leadership and organizational identity, while the moderating effect is the opposite. To be specific, CWX has appositive effect, while LMX has a negative effect. Furthermore, the indirect effect of authoritarian leadership on employee innovation behavior via organizational identity is also moderated by LMX.

At present, scholars have not yet reached a consensus on the relationship between authoritarian leadership and employee innovation behavior. Based on social cognition theory and social exchange theory, this study incorporates organizational identity and exchange quality into the research model to explore this lack of consensus. By verifying the research model, this study offers original views on when and how authoritarian leadership and exchange quality affect employee innovation behavior, which enriches the current research on employee innovation and the effectiveness of authoritarian leadership in different cultural contexts.

The main purpose is to construct the mapping relationship between garment flat and pattern. Particle swarm optimization–least-squares support vector machine (PSO-LSSVM), the data-driven model, is proposed for predicting the pattern design dimensions based on small sample sizes by digitizing the experience of the patternmakers.

For this purpose, the sleeve components were automatically localized and segmented from the garment flat by the Mask R-CNN. The sleeve flat measurements were extracted by the Douglas–Peucker algorithm. Then, the PSO algorithm was used to optimize the LSSVM parameters. PSO-LSSVM was trained by utilizing the experience of patternmakers.

The experimental results demonstrated that the PSO-LSSVM model can effectively improve the generation ability and prediction accuracy in pattern design dimensions, even with small sample sizes. The mean square error could reach 1.057 ± 0.06. The fluctuation range of absolute error was smaller than the others such as pure LSSVM, backpropagation and radial basis function prediction models.

By constructing the mapping relationship between sleeve flat and pattern, the problems of the garment flat objective recognition and pattern design dimensions accurate prediction were solved. Meanwhile, the proposed method overcomes the problem that the parameters are determined by PSO rather than empirically. This framework could be extended to other garment components.

This study aims to investigate the effects of project-level external knowledge search breadth and search depth on the innovation performance of open innovation (OI) projects in large firms; it further considers these effects mediated by two forms of control mechanisms (process and outcome control) when the level of project complexity and the two stages of a project – early (problem definition) and late (solution development) – are taken into account.

Based on a survey of 187 managers responsible for an OI project, the authors use theory on behavioral-based control mechanisms to explore whether the effect of external knowledge search breadth and depth on OI performance is contingent on having the right levels of control mechanisms in place.

The results showed that the control mechanism mediates the relationship between external knowledge search breadth and depth and OI project performance. Furthermore, project complexity is an important moderator of these effects, especially for outcome control.

A better OI project’s performance is not achieved by external knowledge search breadth and depth alone, but by building process and outcome control mechanism on it to balance knowledge sharing and protecting tension. Furthermore, Outcome control is only helpful with less complex OI projects.

As for vibrating screen, the separation of granular materials is a very complicated process, particularly the screening with a swing trace. To study the characteristics of stratification and penetration in the swing vibrating screen, a three-dimensional numerical model was developed to simulate the screening process.

The discrete element method (DEM) was used to perform the numerical simulation, and the kinetic model of the swing screening was established. The regions of stratification and penetration were defined, and the mathematical functions relating fine particle ratio of stratification and penetration to time were presented using the least squares method.

The results show that the low value of frequency (5 and 10 Hz) has a limited effect on the stratification, while the obvious effect can be found at high frequency. A low frequencies or small swing angles may enhance the particle penetration. By studying the vibration parameters affecting the stratification and penetration rate, it is found that the frequency has more influence than the swing angle.

The higher screening efficiency and processing capacity can be further obtained for the swing vibrating screen by comparing with the linear vibrating screen. These results reveal the fundamental characteristics of particle motion in the swing screening, which will provide reliable guidance for studying the design optimization of vibrating screen.

Continuance usage of mobile applications (apps) has attracted much attention from scholars and enterprises, while the extant research mainly focuses on continuance intention. The inner effect mechanism of the characteristics of apps is still unclear. Under the tenet of continuance usage behaviour, through analysis of characteristics derived from online reviews, this paper aims to establish an effective model and discloses the commonalities and differences between two mainstream apps, which are entertainment and knowledge apps.

The authors collected reviews of TikTok and Zhihu, which are typical representatives of entertainment and knowledge apps, respectively, from 2018 to 2020. They then derive effect factors and establish the effect model using grounded theory. A deep comparison is then conducted. They analysed the similarities and differences in the general effect model, internal effect mechanism and detailed characteristics of the two types of apps.

Entertainment app and knowledge apps share the same general effect mechanism; that is, the effect chain of characteristics to perceived value then finally to continuance usage behaviour. However, obvious differences also exist in detailed and specific effects between the two apps.

The present research is among the first to have a deep analysis of the comparison of entertainment apps and knowledge apps under the context of continuance usage behaviour. The findings contribute to understanding continuance usage behaviours. Suggestions are proposed on how to promote apps, which may benefit app managers.

The purpose of this study is to examine the degree, contents and trend development of Global Reporting Initiative (GRI) performance indicators disclosed in sustainability reports of large mining companies in Ghana.

Content analysis methods are used to analyse 50 sustainability reports of ten large-scale mining companies in Ghana, covering the period 2008-2012.

The study finds that there has been a widening and increasing trend in the disclosure of performance indicators in sustainability reports of the large mining companies in Ghana, in accordance with GRI guidelines. The findings suggest that good progress in the strategic sector has been made in the voluntary adoption of the GRI guidelines to increase transparency, credibility and comparability in sustainability reporting. The findings also indicate areas to be improved.

The Government of Ghana and the Ghana Chamber of Mines could learn from the findings about the current status of this matter in order for them to formulate policies and regulations which would encourage the mining sector in moving forward in the adoption of international reporting standards.

This paper initializes investigation into the degree, contents and trends of performance indicators in sustainability reports of large mining companies in Ghana using content analysis.

This paper aims to empirically investigate the impact of the carbon intensity constraint policy (CICP) on green innovation.

This study takes the implementation of the CICP as a quasi-natural experiment and uses a quasi–difference-in-difference method to investigate the impact of the CICP on firm green innovation from a microeconomic perspective.

The CICP significantly limits the quality of firms’ green innovation. Among the range of green patents, the CICP distorts only patents related to CO₂ emissions. The inhibitory effect is more pronounced in non-state-owned enterprises and heavily polluting firms. R&D investment and green investor are identified as the main mechanism.

These findings provide evidence for the influence of the CICP on firm green innovation, which can guide policymakers in China and other emerging economies that prioritize carbon intensity constraint targets and the improvement of relevant auxiliary measures.

Governments and firms should have a comprehensive understanding of environmental policies and corporate behavior and need to mitigate the negative impact through a combination of measures.

This study contributes to the literature by providing additional empirical evidence regarding the two opposing sides of the ongoing debate on the positive or negative effects of CICP. It also provides new evidence on the policy effect of the CICP on firm green innovation, together with its mechanisms and heterogeneous influences.

This paper aims to present a kinematics analysis method and statics based control of the continuum robot with mortise and tenon joints to achieve better control performance of the robot.

The kinematics model is derived by the geometric analysis method under the piecewise constant curvature assumption, and the workspace and dexterity of the proposed robot are analyzed to optimize its structure parameters. Moreover, the statics model is established by the principle of virtual work, which is used to analyze the mapping relationship between the bending deformation and the applied forces/torques. To improve the control accuracy of the robot, a model-based controller is put forward.

Results of the experiments verify the feasibility of the proposed continuum structure and the correctness of the established model and the control method. The force deviation between the theoretical value and the actual value is relatively small, and the mean value of the deviation between the driving forces is only 0.46 N, which verify the established statics model and the controller.

The proposed model and motion controller can realize its accurate bending control with a few deviations, which can be used as the reference for the motion planning and dynamic model of the continuum robot.

This study explores the characteristics of high-speed rail (HSR) and air transportation networks in China based on the weighted complex network approach. Previous related studies have largely implemented unweighted (binary) network analysis, or have constructed a weighted network, limited by unweighted centrality measures. This study applies weighted centrality measures (mean association [MA], triangle betweenness centrality [TBC], and weighted harmonic centrality [WHC]) to represent traffic dynamics in HSR and air transportation weighted networks, where nodes represent cities and links represent passenger traffic. The spatial distribution of centrality results is visualized by using ArcGIS 10.2. Moreover, we analyze the network robustness of HSR, air transportation, and multimodal networks by measuring weighted efficiency (WE) subjected to the highest weighted centrality node attacks. In the HSR network, centrality results show that cities with a higher MA are concentrated in the Yangtze River Delta and the Pearl River Delta; cities with a higher TBC are mostly provincial capitals or regional centers; and cities with a higher WHC are grouped in eastern and central regions. Furthermore, spatial differentiation of centrality results is found between HSR and air transportation networks. There is a little bit of difference in eastern cities; cities in the central region have complementary roles in HSR and air transportation networks, but air transport is still dominant in western cities. The robustness analysis results show that the multimodal network, which includes both airports and high-speed rail stations, has the best connectivity and shows robustness.