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The purpose of the paper is to make a high speed motor based on the characteristics of high strength silicon steel. With the higher requirements for torque density and power density of the driving system of electric vehicles (EV), conventional magnetic materials have been difficult to meet the demands in the future. In this paper, a new type of high-strength non-grain-oriented (NGO)material is tested.

Through analyzing the characteristic of high strength silicon steel, it is applied to the rotor part of a high-speed motor. A topological optimization is applied to achieve higher power density and higher efficiency of the motor.

The feasibility of the scheme was analyzed by the finite element method, and a prototype was also fabricated to verify the analysis.

In this paper, the characteristics of new soft magnetic materials as a breakthrough to manufacture a new generation of high-performance electrical machine (EM) are discussed. Consequently, the presented work greatly facilitates further explorations and guides the innovative application of soft magnetic materials and the iterative optimization of motor structure.

Hospital information system (HIS) can be examined as a vital factor for developing the quality of health care and cost managing. There exists abundant literature on HISs, but implementation-based literature of HIS is rare, typically about progressive countries. However, a study that can comprehensively review published articles is scarce. Therefore, this paper aims to examine the systematic and comprehensive study of HIS in developed countries. Together, the benefits and harms relevant to HIS’s different mechanisms have been considered, and the fundamental challenges of them are addressed to design more efficient HIS in the future.

HIS has been used globally for numerous years and is now being used in a wide area. HIS is broadly used in clinical settings. Information technology (IT) and information system have been suggested as a required piece to solve the health-care-related issues. Hence, to improve HIS’s ability, this paper conducted a review method concentratating on research related to HIS until 2019. A total of 21 papers were recognized and examined as principal research for the summary.

The authors found that HIS can help in reduction of medical mistakes, enhancement doctors’ performance and increase in the quality of the care provided. HIS management can be used to provide better health-care services. Therefore, HIS must be sensible and use clear structures. The authors conclude that, generally, with an increase in awareness, acceptability and the need for HIS worldwide, there will be more strategies and approaches available.

First, this paper provides an outline of the status of HIS. Second, it identifies some distinct research gaps that could be worth studying. Some flawless work may be removed because of applying some filters to select the original articles. Surveying all the papers on the topic of HIS is impossible, too.

Design and sustainability of HIS is still a big issue for most developing countries, despite its wide usage in the developed countries. The technology is changing rapidly, so the field should be reviewed regularly. This paper suggests a suitable framework that will guide HIS in the local conditions of developing countries.

The government will be assisted by the suggested solving ways in its performance and design of electronic health-care projects.

The study brings the viewpoints on the state of HIS mechanisms in developing countries. The paper’s results can offer visions into future research requirements. By providing comparative information and analyzing the current growths in this area, this study will support researchers and professionals to understand the progress in HIS mechanisms better.

The purpose is to analyze and discuss the sustainable development (SD) and financing risk assessment (FRA) of resource-based industrial clusters under the Internet of Things (IoT) economy and promote the application of Machine Learning methods and intelligent optimization algorithms in FRA.

This study used the Support Vector Machine (SVM) algorithm that is analyzed together with the Genetic Algorithm (GA) and Ant Colony Optimization (ACO) algorithm. First, Yulin City in Shaanxi Province is selected for case analysis. Then, resource-based industrial clusters are studied, and an SD early-warning model is implemented. Then, the financing Risk Assessment Index System is established from the perspective of construction-operation-transfer. Finally, the risk assessment results of Support Vector Regression (SVR) and ACO-based SVR (ACO-SVR) are analyzed.

The results show that the overall sustainability of resource-based industrial clusters and IoT industrial clusters is good in the Yulin City of Shaanxi Province, and the early warning model of GA-based SVR (GA-SVR) has been achieved good results. Yulin City shows an excellent SD momentum in the resource-based industrial cluster, but there are still some risks. Therefore, it is necessary to promote the industrial structure of SD and improve the stability of the resource-based industrial cluster for Yulin City.

The results can provide a direction for the research on the early warning and evaluation of the SD-oriented resource-based industrial clusters and the IoT industrial clusters, promoting the application of SVM technology in the engineering field.

The advancement of enterprise social networks (ESNs) facilitates information sharing but also presents the challenge of managing information boundaries. This study aims to explore the factors that influence the information-control behavior of ESN users when continuously sharing information.

This study specifies the information-control behaviors in the “wall posts” channel and applies communication privacy management (CPM) theory to analyze the effects of the individual-specific factor (disposition to value information), context-specific factors (work-relatedness and information richness) and risk-benefit ratio (public benefit and public risk). Data on actual information-control behaviors extracted from ESN logs are examined using multilevel mixed-effects logistic regression analysis.

The study's findings show the direct effects of the individual-specific factor, context-specific factors and risk-benefit ratio, highlighting interactions between the individual motivation factor and ESN context factors.

This study reshapes the relationship of CPM theory boundary rules in the ESN context, extending information-control research and providing insights into ESNs' information-control practices.

The purpose of this paper is to develop a nuanced understanding of premium customers’ intent to adopt an interactive electronic channel (IEC) and the moderating role of social capital on perceived relative advantage (RA) in adoption.

Study findings are based on a field survey that investigates the launching of an IEC by a leading international bank in Hong Kong.

Among social capital dimensions, cognitive capital significantly weakens the relationship between efficacy of information acquisition and IEC adoption, while relational capital enhances the relationship between trust and adoption.

This paper provides a theoretical lens based on social capital theory for evaluating the moderating effects of social capital on the relationship between RA and IEC adoption by premium customers in the banking industry.

Findings provide insights for the practice of banks when trying to deliver financial services via an IEC to the premium customer segment.

This research extends the channel choice theory to the context of banking channel adoption of premium customers; provides a better understanding of the IEC and its adoption in the more complex setting of financial consultation services; and offers insights for a better understanding of fragmented findings on the relationships between adoption intention and its antecedents in response to calls for studies on contingent factors.

The purpose of this paper is to elucidate the tribology behavior of polytetrafluoroethylene (PTFE) incorporated with three types of nickel–phosphorus (Ni-P) particles (i.e. low phosphorus [LP], medium phosphorus [MP] and high phosphorus [HP]) under dry sliding condition.

Ni-HP, Ni-MP and Ni-LP particles fabricated via an electroless plating process were incorporated into PTFE matrix with different additions to prepare Ni-P/PTFE composites (Ni-LP/PTFE, Ni-MP/PTFE and Ni-HP/PTFE). The tribology tests for these samples were carried out on a reciprocating ball-on-disc tribometer. The thermal stabilities, mechanical and tribological properties, morphologies and components of aforesaid Ni-P/PTFE composites were analyzed.

The marvelous effect of Ni-P incorporation on the simultaneous reduction in friction and wear of PTFE was corroborated.

Compared with that of pristine PTFE sample, the reduction on friction with a value of 27% and the reduction in wear about 94% for Ni-HP/PTFE composite is validated, which is probably related to the increased crystallinity and hardness due to the presence of Ni-P particles.

Outsourcing remanufacturing is a major form of remanufacturing, and emission reduction is an important part of a manufacturer's production. This paper aims to investigate carbon emission reduction strategies in a closed-loop supply chain (CLSC) with outsourcing remanufacturing and design a contract to coordinate the CLSC.

The authors establish two-period game models between an original equipment manufacturer (OEM) and third-party remanufacturer (TPR) in different scenarios, including decentralized decision, centralized decision and coordinated decision. Furthermore, the authors study the optimal decisions by maximizing the profit model. The authors also investigate the impact of a carbon tax and emission reduction on the optimal decisions through comparative analysis.

Emission reduction increases the quantity of new products and the OEM's profit. However, emission reduction decreases the outsourcing fee, which is not conducive to remanufacturing; thus, the TPR's profit does not necessarily increase. Compared with a decentralized scenario, the output of remanufactured products and the total profit increase. When the acceptance level of remanufactured products is high enough or when emissions from remanufacturing are low enough, the total carbon emissions are reduced in the centralized scenario. For the coordination of the CLSC, the OEM needs to increase the outsourcing fee and the TPR needs to share part of the emission reduction costs.

The TPR can choose three different remanufacturing strategies, namely, no remanufacturing, partial remanufacturing or full remanufacturing. For the majority of firms, it is difficult to remanufacture all used products. Therefore, the analysis is based only on partial remanufacturing.

The results provide insights for remanufacturing and emission reduction decisions, as well as a decision basis for the cooperation between the OEM and TPR.

The authors combine the OEM's carbon emission reduction with outsourcing remanufacturing, and investigate the impact of technological spillover on the TPR's profit.

In recent years, closed social networking sites (SNSs) have become popular advertising media. Marketer-generated advertisements (MGAs) and user-generated advertisements (UGAs) are the two pillars of advertising businesses. The objective of this research is to investigate and compare how these ad types (i.e. MGA versus UGA) affect advertising effectiveness in closed SNSs.

The authors conducted a scenario-based experiment of 403 WeChat users in China and used partial least squares structural equation modeling (PLS-SEM) to examine the research model.

The study results indicate that UGAs perform better than MGAs in enhancing consumers' perceived informativeness, credibility and entertainment, while MGAs are more likely to make consumers feel irritated than UGAs in closed SNSs. Moreover, consumers' perceived informativeness, credibility and entertainment positively influence advertising effectiveness, whereas perceived irritation negatively affects it.

This study reveals consumers' psychological response mechanisms to MGA and UGA and sheds light on their differential effectiveness by extending the stimuli-organism-response model to the context of closed SNSs.

Varied accounts exist regarding the role of trust and satisfaction in online continuance intention and contexts within which this occurs. The purpose of this paper is to consider the moderating effect of structural assurance (SA) on satisfaction and trust and trust and continuance intention in a pure e-service context (online betting).

UK online bettors were surveyed with an instrument developed using validated variables and measurements, including continuance intention, satisfaction, trust (in vendor) and SA. Structural equation modeling with partial least squares was used to evaluate the measurement and structural model simultaneously.

SA positively moderates the trust–continuance intention relationship but not the satisfaction–trust relationship. SA is positively associated with trust.

The study contributes to research focused on exploring the moderating effects of trust and satisfaction on continuance intention where institution-based mechanisms are perceived to be effective and framed to assure success.

An over-reliance on context-specific mechanisms is inadequate; strategic approaches to trust must consider contextual and institutional mechanisms interdependently.

The paper addresses the need for research relating to the institutional context within which trust mechanisms operate. This research provides a novel contribution through an exploration of the moderating effects of SA on: trust and continuance intention; and satisfaction and trust (the authors also measure the direct effect of SA on trust). This paper is one of the first studies to examine these important concepts in this context. The online betting case allows for the exploration of risk where vendor-specific and contextual risk are both high.

A chromate conversion coating was prepared on the surface of bare AA2024 aluminum alloy by direct immersion in the chromating treatment bath, and the corrosion behavior of chromated AA2024 aluminum alloy in 3.5 per cent NaCl solution was studied by electrochemical measurement and microstructural observation.

According to the polarization curve test and the scanning electron microscope observation, the corrosion evolution of chromated AA2024 in 3.5 per cent NaCl solution was divided into the following three stages: coating failure, pitting corrosion and intergranular corrosion (IGC).

In the first stage, the chromate coating degraded gradually due to the combined action of chloride anions and water molecules, resulting in the complete exposure of AA2024 substrate to 3.5 per cent NaCl solution. Subsequently, in the second stage, chloride anions adsorbed at the sites of θ phase (Al2Cu) and S phase (Al2CuMg) on the AA2024 surface preferentially, and some corrosion pits initiated at the above two sites and propagated towards the deep of crystal grains. However, the propagation of a pit terminated when the pit front arrived at the adjacent grain boundary, where the initiation of IGC occurred.

Finally, in the third stage, the corrosion proceeded along the continuous grain boundary net and penetrated the internal of AA2024 substrate, resulting in the propagation of IGC. The related corrosion mechanisms for the bare and the chromated AA2024 were also discussed.