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The problem of constructing the convex hull of a set of points and of curvilinear segments arises in many applications of geometric analysis. Although there has been much work on algorithms for the convex hull of a finite point set, there has been less on methods for dealing with circular line segments and the implementation issues. This paper describes a new method for finding the convex hull of a planar set of straight and circular line segments. It then concentrates on the implementation of the algorithm.

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.

This paper presents a comprehensive review of the available literature on applications of the rough set theory. Concepts of the rough set theory are discussed for approximation, dependence and reduction of attributes, decision tables and decision rules. The applications of rough sets are discussed in pattern recognition, information processing, business and finance, industry, environment engineering, medical diagnosis and medical data analysis, system fault diagnosis and monitoring and intelligent control systems. Development trends and future efforts are outlined. An extensive list of references is also provided to encourage interested readers to pursue further investigations.

With the advent of the web computing era, the transmission mode of the Internet of Everything has caused an explosion in data volume, which has brought severe challenges to traditional routing protocols. The limitations of the existing routing protocols under the condition of rapid data growth are elaborated, and the routing problem is remodeled as a Markov decision process. this paper aims to solve the problem of high blocking probability due to the increase in data volume by combining deep reinforcement learning. Finally, the correctness of the proposed algorithm in this paper is verified by simulation.

The limitations of the existing routing protocols under the condition of rapid data growth are elaborated and the routing problem is remodeled as a Markov decision process. Based on this, a deep reinforcement learning method is used to select the next-hop router for each data transmission task, thereby minimizing the length of the data transmission path while avoiding data congestion.

Simulation results show that the proposed method can significantly reduce the probability of data congestion and increase network throughput.

This paper proposes an intelligent routing algorithm for the network congestion caused by the explosive growth of data volume in the future of the big data era. With the help of deep reinforcement learning, it is possible to dynamically select the transmission jump router according to the current network state, thereby reducing the probability of congestion and improving network throughput.

This paper seeks to conduct a numerical study to investigate heat transfer in turbulent, unconfined, submerged, and inclined impinging jet discharged from a slot nozzle, utilising finite volume code FLUENT.

Two re‐normalisation group k‐ε and the basic Reynolds stress models by using enhanced wall treatment for near wall turbulent modelling were applied and the local Nusselt numbers were compared with experiments. The enhanced wall treatment solves the fully turbulent region and viscous sublayer by considering a single blended function of both layers.

In inclined impinging jet by movement of stagnation point to the uphill side of the impinging plate, the location of the maximum Nusselt number moves to the uphill side of the plate. However, this movement increases by increasing of H/D and by decreasing of Reynolds number and inclination angle. For a flat plate impinging jet, the results were found to be less than 8 per cent different and for inclined impinging jet, more sensitive to H/D, 5‐20 per cent different in comparison with experiments. In addition, the flow streamlines were consistent with location of the heat transfer peak on the impinging surface.

Reynolds numbers in range of 4,000‐16,000, the ratio of nozzle height to hydraulic diameter of the nozzle (H/D) in range of 4‐10, and inclination angle of air jet and plate in range of 40‐90° were considered.

A unique achievement of this study in comparison with experimental data was locating the exact peak of the local Nusselt number on impinging plate by change of Reynolds number, H/D, and inclination angle.

The purpose of this paper is to investigate the relationship between novice and experienced English as a foreign language (EFL) teachers’ reflective teaching, and their burnout.

Participants who took part in this study included 158 (78 novice/80 experienced) EFL teachers of different ages (22-50) and teaching experience (1-25) from Tehran and Hamedan. They completed the English Language Teacher Reflective Inventory developed by Akbari et al. (2010), and the Maslach Burnout Inventory-Educator’s Survey developed by Maslach et al. (1996). The participants were selected via convenience sampling.

The results of two separate Pearson product-moment coefficients revealed that reflective teaching had a significant negative relationship with both novice and experienced EFL teachers’ burnout. Furthermore, the results of two separate regressions indicated that reflective teaching was a significant predictor of both novice and experienced EFL teachers’ burnout.

The findings of this study can help teacher educators and curriculum developers grasp a better picture of novice and experienced EFL instructors’ means of professional development (i.e. reflective teaching) and its relationship with educational and practical aspects of their career (i.e. burnout).

The purpose of this paper is to explore the impact that mentoring has on Canadian early career teachers’ (ECTs’) well-being. The authors describe findings from a pan-Canadian Teacher Induction Survey (n=1,343) that examined perceptions and experiences of ECTs within K–12 publicly funded schools, with particular interest in retention, career interests and the impact of mentoring on well-being.

An online survey was used to examine perceptions and experiences of ECTs within publicly funded K–12 schools across Canada. For this paper, the authors selectively analyzed 35 survey questions that pertained to mentorship and well-being of ECTs, using quantitative and qualitative procedures.

The findings revealed a strong correlation between the mentoring experiences and well-being of the participating Canadian ECTs. The teachers who did not receive mentorship indicated significantly lower feelings of well-being, and conversely, teachers who participated in some kind of mentorship demonstrated much higher levels of well-being.

This paper draws on the selective analysis of the data from a larger study to elicit the connections between the mentoring support and perceived well-being. Due to inconsistencies in terminology and multifaceted offerings of induction and mentoring supports for ECTs across Canada, there might have been some ambiguity regarding the formal and informal mentorship supports. A longitudinal study that is designed to specifically examine the connection between the mentorship and well-being of ECTs could yield deeper understandings. A comparative study in different international contexts is commended.

The findings showed that the ECTs who did not receive any mentorship scored significantly lower feelings of well-being from external, structural, and internal well-being sources, and conversely, the ECTs who participated in some kind of mentorship scored much higher levels of feelings of well-being. Policy-makers should therefore continue to confidently include mentorship as an intentional strategy to support and help ECTs to flourish. However, inconsistent scoring between individuals and their levels of external, structural and internal well-being suggest that more research on the connection between mentoring and well-being of the ECTs.

Work-life imbalance seems to be more challenging for ECTs than policymakers who provide these expectations are aware. Therefore, excessive work demands and intensive workloads need to be given proper attention for their potential negative effects (such as stress, burnout and absence) on the beginning teachers’ health and well-being. Likewise, purposeful strength-based approaches should be undertaken to establish generative and pro-social efforts to enhance the connectedness, collaboration, collegiality and resilience-building opportunities for novice professionals within flourishing learning communities.

In this paper, the authors have undertaken the first steps in exploring the impact that mentoring has on Canadian ECTs’ well-being. The study increases the understanding of how mentoring can be used as a purposeful strategy to support the well-being of ECTs and retain them in the teaching profession in Canada and potentially in different international contexts.

The importance of service firms cooperating with digital platforms is widely acknowledged. The authors study three contractual relationships (fixed-cost, cost-sharing, and profit-sharing) between service firms (specifically hotels) and digital platforms in a highly fragmented service supply chain to examine which of these contract types optimizes profits.

The authors extend prior models analyzing the optimal expected total profit from the travel service firm (hotel)–digital platform relationship, providing new insights into each contract type’s ability to coordinate decentralized systems and optimize profits for both parties.

This study finds that fixed cost contracts cannot coordinate the decentralized system. Cost-sharing contracts can coordinate the decentralized system but only allow one channel profit split. In contrast, profit-sharing contracts may not always perfectly coordinate the decentralized system but support alternative profit allocations. Practically, both profit-sharing and cost-sharing contracts are preferable to fixed-cost contracts.

The paper includes implications for travel service firm managers to consider when structuring contracts with digital platforms to focus on profit optimization. Profit-sharing contracts are most preferable when cost and revenue data are fully shared between parties, while cost-sharing contracts are preferable over fixed-cost contracts.

This study extends prior investigations into the utility of different contract types on the optimal profit of a travel service firm (hotel)-digital platform provider relationship. The research fills a gap in the literature concerning the contracts used in these relationship types.

This study investigates how social interaction-oriented content in broadcasters' live speech affects broadcast viewers' purchasing and gift-giving behaviors and how broadcaster popularity moderates social interaction-oriented content's effect on the two different behaviors in live-streaming commerce.

A research model was proposed and empirically tested using a panel data set collected from 537 live streams via Douyin (the Chinese version of TikTok), one of the most popular live broadcast platforms in China. A fixed-effects negative binomial regression model was used to examine the proposed research model.

This study's results show that social interaction-oriented content in broadcasters' live speech has an inverted U-shaped relationship with broadcast viewers' purchasing behavior and shares a positive linear relationship with viewers' gift-giving behavior. Furthermore, broadcaster popularity significantly moderates the effect of social interaction-oriented content on viewers' purchasing and gift-giving behaviors.

This research enriches the literature on live-streaming commerce by investigating how social interaction-oriented content in broadcasters' live speech affects broadcast viewers' product-purchasing and gift-giving behaviors from the perspective of broadcast viewers' attention. Moreover, this study provides some practical guidelines for developing live speech content in the live-streaming commerce context.

The paper aims to reduce the low-frequency resonance and residual vibration of the robot during the operation, improve the working accuracy and efficiency. A reduced weight and large load-to-weight ratio can improve the practical application of a collaborative robot. However, flexibility caused by the reduced weight and large load-to-weight ratio leads to low-frequency resonance and residual vibration during the operation of the robot, which reduces the working accuracy and efficiency. The vibrations of the collaborative robot are suppressed using a modified trajectory-planning method.

A rigid-flexible coupling dynamics model of the collaborative robot is established using the finite element and Lagrange methods, and the vibration equation of the robot is derived. Trajectory planning is performed with the excitation force as the optimization objective, and the trajectory planning method is modified to reduce the vibration of the collaborative robot and ensure the precision of the robot terminal.

The vibration amplitude is reduced by 80%. The maximum torque amplitude of the joint before the vibration suppression reaches 50 N·m. After vibration suppression, the maximum torque amplitude of the joint is 10 N·m, and the resonance phenomenon is eliminated during the operation process. Consequently, the effectiveness of the modified trajectory planning method is verified, where the vibration and residual vibration in the movement of the collaborative robot are significantly reduced, and the positioning accuracy and working efficiency of the robot are improved.

This method can greatly reduce the vibration and residual vibration of the collaborative robot, improve the positioning accuracy and work efficiency and promote the rapid application and development of collaborative robots in the industrial and service fields.