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The purpose of this paper is to investigate the effect of Na₂SiO₃ concentration on the microstructure and corrosive properties of microarc oxidation (MAO) coating on Al-Mg-Sc alloy and explore microstructure evolution rule of Al substrate in the contact area.

The Na₂SiO₃ concentration in electrolytes influenced the microstructure and corrosion behavior of MAO coatings. Instantaneous high temperature and high pressure due to microarc discharge caused annealing treatment. The corrosive behavior of the MAO coating was featured with polarization curves and electrochemical impedance spectrum in 3.5 Wt.% NaCl solution.

The substrate in the contact area existed the instantaneous annealing treatment, which caused obvious recrystallization. The coating prepared in electrolyte containing 7 g/L Na₂SiO₃ exhibited the highest protective properties in 3.5 Wt.% NaCl solution.

MAO treatment could increase the corrosion resistance by producing a protective layer on the Al-Mg-Sc alloy surface at a suitable Na₂SiO₃ concentration and microstructure evolution rule of Al substrate in the contact area was obtained.

The ageing of rural Chinese populations is challenging health and social policy, driving growth in rural nursing homes. Living environment plays a role in enhancing elderly quality of life (QoL), however, the impact of the built environment and care services are under-studied. The purpose of this paper is to investigate the influence of the built environment and care services on the QoL of elderly people within rural nursing homes in China.

A total of 242 residents of nursing home were surveyed, of which 76 percent were male and 24 percent were female. In total, 25.6 percent were aged between 60 and 69, 40.1 percent between 70 and 79, 31 percent between 80 and 89, and 3.3 percent were 90 or above. Quantitative data were analyzed through factor analysis, reliability test and multiple regression modeling.

The authors identified six built environment factors (room distance, space, barrier-free design, indoor environment, fire safety, and support facilities) and three services factors (i.e. daily care services, cleaning services, and healthcare services). QoL was measured over four dimensions: QoL, physical health, psychological health, and social relationships. Elderly QoL could be accurately predicted from room distance, space, barrier-free design, indoor environment, daily care services, and cleaning services.

Interventions in design of the built environment and the provision of care services are proposed, including dimensions of living space, heating, and provisions for qualified care providers.

This paper provides a clear picture about elderly special requirements on their built environment and healthcare services, helping architects, engineers and facilities managers understand elderly needs and improve built environment during design and operation stages.

Driven by the development of the global digital economy, knowledge management in industrial enterprises offers more possibilities for green innovation. Based on the perspective of external knowledge sources, this study aims to construct a panel regression model to explore the relationship between digital economy and industrial green innovation efficiency.

Panel data from 30 regions in China from 2011 to 2020 were selected as research samples. All data are obtained from national and provincial statistical yearbooks. Coupling coordination degree analysis, entropy method, panel regression analysis, robustness test and threshold effect test by Stata 16.0 were used to test the hypotheses.

The empirical results demonstrate the hypotheses and reveal the following findings: the digital economy is positively related to industrial green innovation efficiency and external knowledge sources, and external knowledge sources mediate the relationship between them. Moreover, based on the threshold test results, the digital economy has a double-threshold effect on industrial green innovation efficiency.

Based on the perspective of external knowledge sources, the proposed mediating mechanism between the digital economy and industrial green innovation efficiency has not been established previously, further enriching the research on the antecedents and outcomes of external knowledge sources. Moreover, this study estimated the direct influence mechanism and double-threshold effect of the digital economy on industrial green innovation efficiency from theoretical and empirical analysis, thus responding to the call of scholars and adding to existing research on how the digital economy affects the green transformation of industrial enterprises.

The purpose of this paper is to provide the extensive review on dynamic monitoring of forestry area in China.

Countermeasure and suggestions were proposed for three aspects including the establishment of data sets with unified standards, top-level design of monitoring and assessment and analysis models, and establishment of the decision support platform with multiple scenario simulation.

Finally, the authors proposed key research area in this field, i.e., improving the systematic and optimal forest management through integrating and improving the data, models and simulation platforms and coupling the data integration system, assessment system and decision support system.

The authors explored the limitation of dynamic monitoring and state of the art research on data accumulation, professional model development and the analytical platform.

This study aims to critically review the research on the phenomenon of discrimination in hospitality and tourism services to identify the key thematic areas, scenarios, antecedents and consequences; to provide theoretical propositions for future research; and to propose practical strategies to reduce discrimination and to improve equality in the field.

This paper adopts the preferred reporting items for systematic reviews and meta-analyses guidelines to collect relevant academic work on discrimination in hospitality and tourism services from 1985 to 2020 and critically reviews and analyses the studies through bibliometric analysis, content analysis and critical analysis.

The findings show that the main sources of discrimination in hospitality and tourism services include sexism, racism, ethnocentrism, lookism and ego-altruism. Discrimination-related research has temporal and geographical variations. A research map is proposed to present existing knowledge of discrimination in hospitality and tourism services, which indicates that while the impacts (at the individual, organizational and institutional levels) of discrimination in hospitality and tourism services have been thoroughly researched, the nature and characteristics of the phenomenon remain context-based and poorly conceptualized.

An anti-discrimination guideline for hospitality and tourism practitioners is designed to cope with and eliminate discriminatory situations. This evidence-based guideline provides useful coping strategies based on the prevent–monitor–manage principle.

This paper is comprehensive in its scope, methodology and wide coverage of discrimination-related research in hospitality and tourism services. It is the first attempt to review this phenomenon in the existing literature and identifies the research gaps and future research agendas.

Aging-friendly environments have been encouraged to develop at the city level, district level and community level in China. In the process of rapid urbanization, the state of aging-friendly communities in old and new neighborhoods is disparate. Hence, the purpose of this paper is to investigate aging-friendly communities and identify the disparities in old and new neighborhoods.

A total of 1,172 elderly respondents completed the survey. Of these, 576 seniors lived in an old community developed before 2000, and 596 lived in a new community developed after 2000. In total, 17 physical environment factors and 10 social environment factors were identified.

The results indicated that public spaces, facilities and transportation in old neighborhoods were inferior to those in new neighborhoods. Most social environment factors in new neighborhoods achieved higher satisfaction levels than those in old neighborhoods. The satisfaction levels of aging-friendly community factors in both old and new neighborhoods were below the expectation levels of elders.

In order to improve physical aging-friendly environments in old neighborhoods, it is suggested that full use is made of school facilities and the renovation of old buildings. The locations of public transportation stations in new neighborhoods are recommended to be revised within 5-min walking distances of senior residents. Both old and new neighborhoods are encouraged to improve social aging-friendly environments by increasing the coverage of medical services and creating multiple approaches to recreation activities.

These findings have empirical significance for urban planners and policy makers, in regard to identifying disparities between old and new neighborhoods, and understanding the equitable allocation and distribution of urban resources.

Due to dynamic model is the basis of realizing various robot control functions, and it determines the robot control performance to a large extent, this paper aims to improve the accuracy of dynamic model for n-Degree of Freedom (DOF) serial robot.

This paper exploits a combination of the link dynamical system and the friction model to create robot dynamic behaviors. A practical approach to identify the nonlinear joint friction parameters including the slip properties in sliding phase and the stick characteristics in presliding phase is presented. Afterward, an adaptive variable-step moving average method is proposed to effectively reduce the noise impact on the collected data. Furthermore, a radial basis function neural network-based friction estimator for varying loads is trained to compensate the nonlinear effects of load on friction during robot joint moving.

Experiment validations are carried out on all the joints of a 6-DOF industrial robot. The experimental results of joint torque estimation demonstrate that the proposed strategy significantly improves the accuracy of the robot dynamic model, and the prediction effect of the proposed method is better than that of existing methods.

The proposed method extends the robot dynamic model with friction compensation, which includes the nonlinear effects of joint stick motion, joint sliding motion and load attached to the end-effector.

The purpose of this paper is to explore the high-quality development (HQD) strategy of Chinese mineral resource enterprises, which is important for Chinese mineral resource enterprises to improve the efficiency and benefit of resource utilization, reduce the intensity of resource and energy consumption and gradually form resource-saving and environment-friendly enterprises.

This study establishes an evaluation index system with four dimensions: economy, environment, society and management innovation. The entropy value method assigns weights to them and then uses the system dynamics (SD) model for case simulation.

The results of the SD simulation conclude that the fulfillment of social responsibility and the implementation of management innovation can accelerate the realization of HQD of mineral resource enterprises; profitability plays a crucial role in economic indicators; the improvement of energy-saving volume has the most significant impact on environmental benefits; the social contribution is the key element to measure social indicators; and the sales rate of core products has the most significant impact on the benefits of management innovation.

Based on the few studies on the evaluation of the development strategy of mineral resource enterprises, this study establishes an evaluation index system that considers the interactions between indicators, combines the entropy value method with SD and uses the SD model to comprehensively and systematically analyze the impact and degree of each factor on the HQD of mineral resource enterprises.

State-owned firms play important roles in Chinese cross-border acquisition (CBA) activities. However, compared with private firms, state-owned firms have a lower likelihood of acquisition completion and take longer to complete a deal. This paper aims to determine why this phenomenon exists and how state-owned firms can overcome the constraints of their identity.

By integrating organizational learning theory with institutional theory, this paper attempts to answer the research questions from a legitimacy perspective. Employing Chinese CBA data from 1982 to 2014, the authors use a logit model and a random effects model to test the hypothesis.

The results show that a state-owned identity easily causes legitimacy concerns among host country regulatory agencies; thus, it may result in longer and more uncertain evaluation behaviors, which lead to a lower likelihood of CBA completion and a longer deal duration. Only experience with failed acquisitions can increase CBA completion probability. Furthermore, in very complex decision-making environments, such as that surrounding deal duration, only specific types of experience (i.e. experience of failed international acquisitions) can trigger learning behavior, whereas general experience (i.e. failed acquisition experience) has little influence. Favorable bilateral relationships may not improve the completion rate and efficiency of state-owned firms, but high-quality host country institutions lead to a higher likelihood of CBA completion among state-owned firms; however, this may be not conducive to decreasing the time needed to complete an acquisition deal.

First, by discussing the completion rate and duration of CBAs conducted by state-owned firms and analyzing the factors that influence them, this paper enriches and develops the theory of organizational overseas mergers and acquisitions (M&As). Second, by adopting a legitimacy perspective and integrating institutional theory, the authors theorize how state-owned status influences firms’ M&A completion rate and time and test the hypotheses empirically; thus, this paper improves and deepens institutional theory. Third, by discussing how different types of experience (i.e. successful experience vs failed acquisition experience) influence the acquisition completion rate and duration and how general experience and specific types of experience affect these two dependent variables differently, this paper explains how state-owned firms can learn effectively from experience, contributing to organizational learning theory.

The purpose of this study is to evaluate service robots as an alternative service provider that can reduce customers’ social discomfort in hospitality service encounters. Specifically, the authors discuss when and in what scenarios service robots can alleviate such social discomfort and explain this effect from the perspective of dehumanization.

Following a social constructivist paradigm, the authors adopt a qualitative research design, gathering data through 21 semistructured interviews to explore why the presence of service employees causes customers’ social discomfort in hospitality service encounters and how service robots alleviate such discomfort.

This study’s results suggest that both the active and passive engagement of service employees are sources of customers’ social discomfort in hospitality service encounters; thus, adopting service robots can help reduce such discomfort in some scenarios. Customers’ differentiating behaviors, a downstream effect of social discomfort, are also addressed.

Service robots can reduce customers’ social discomfort in certain scenarios and influence their consumption behaviors. This finding offers actionable insights regarding the adoption of service robots in hospitality service encounters.

This research enhances the understanding of social discomfort in hospitality service encounters and expands the research on service robots. To the best of the authors’ knowledge, it is the first attempt to reveal the bright side of robots in service encounters from a dehumanization perspective.