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The purpose of this paper is to propose an uncertain regression model with an intrinsic error structure facilitated by an uncertain canonical process.

This model is suitable for dealing with expert's knowledge ranging from small to medium size data of impreciseness. In order to have a rigorous mathematical treatment on the new regression model, this paper establishes a series of new uncertainty concepts sequentially, such as uncertainty joint multivariate distribution, the uncertainty distribution of uncertainty product variables and uncertain covariance and correlation based on the axiomatic uncertainty theoretical foundation. Two examples are given for illustrating a small data regression analysis.

The uncertain regression model is formulated and the estimation of the model coefficients is developed.

The paper is devoted to a regression model to handle a small amount of data with mathematical rigor.

The theory and the methodology of the uncertain canonical process regression is proposed for the first time. It addresses the practical challenges of small data size modelling.

Aluminum alloy is susceptible to chloride ion attack in sea water, resulting in pitting damage and hence serious security risks for the related applications. To improve the corrosion resistance of Al alloy, micro-arc oxidation (MAO) technology has been developed to produce a protective dense oxide layer on top of Al alloy. However, the mechanism of MAO-induced corrosion resistance is still not fully understood, particularly on local corrosion issue. This paper aims to focus on comprehensively studying the corrosion-resistance mechanism by a series of technologies.

The corrosion behavior of samples was studied by open circuit potential (OCP), potentiodynamic polarization (PDP), electrode impedance spectroscopy (EIS) and localized electrode impedance spectroscopy (LEIS) tests in NaCl solution.

The MAO-coated Al alloy shows a more positive corrosion potential and a higher corrosion current density compared to the untreated counterpart, indicating a significantly enhanced corrosion-resistance. The study of surface morphology and structure also suggest significantly enhanced corrosion-resistance due to the MAO treatment.

Based on the results, a new corrosion model was proposed to describe the influence of MAO treatment on the corrosion process and corrosion mechanism of Al alloy, providing insights on the design of the corrosion-resistance coating for metallic alloys in marine applications.

The purpose of this paper is to improve the corrosion resistance of the 6061-Al alloy as the battery pack material for electric vehicles, and the nano-SiC/MAO composite coating was prepared.

The corrosion resistance of coatings was evaluated by the global electrochemical test, and the local electrochemical impedance spectroscopy (LEIS) was used to study the local corrosion mechanism. The laser confocal microscope, scanning electron microscope and X-ray diffractometer (XRD) were used to characterise coatings.

Results showed that the impedance of nano-SiC/MAO coating was 1–2 times higher than MAO coating, and the main corrosion product was Al(OH)₃. LEIS results showed that the impedance of the nano-SiC/MAO coating was two times higher than the MAO coating. The defective SiC/Micro-arc oxidation coating still had high corrosion resistance compared to the MAO coating.

The physical model of the local corrosion mechanism for SiC/MAO composite coating in “cavity-fracture collapse” mode was proposed.

The paper aims to study the relationship between corporate social responsibility, green supply chain management, and operational performance and the moderating effects of relational capital on these relationships.

The authors conduct an empirical study with a structural equation modeling approach to investigate the relationship between corporate social responsibility—constructed by the quality and environmental responsibility, green supply chain management—including green supplier and customer management and operational performance—manifested by quality, cost, flexibility, and delivery performance using data from 308 manufacturers in China. Besides, the authors explore the moderating effect of supplier and customer relational capital on these relationships.

The findings indicate that a company's quality and environmental responsibility significantly impacts its green supply chain management practices, which further improve its operational performance in quality, cost, flexibility, and delivery. In addition, supplier and customer relational capital strengthens the influence of environmental responsibility on green supply chain management. While supplier relational capital reinforces the impact of green supplier management on flexibility and delivery performance, customer relational capital only strengthens the influence of green customer management on flexibility performance.

The study enriches the extant literature by developing a holistic framework integrating corporate social responsibility, green supply chain management, relational capital, and operational performance and unraveling their intricate relationships. The authors’ findings help practitioners prioritize proactive steps in environmental conservation more than achieving operational performance.

This study discusses that the necessary criteria and the solution approach taken to resolve the main spatial infection problems with a burn center design should be evaluated holistically to achieve spatial infection control in a burn center. The burn center design plays an important role in protecting severely burned patients from infection because the microbial flora of the hospital can affect the infection risk. In hospitals, sterilization and disinfection are the basic components of infection prevention; however, the prevention and control of infection for burn patients also requires the design of burn centers that adhere to a specific set of criteria that considers spatial infection control in addition to appropriate burn treatment methods and treatments. In this study, a burn facility converted from a burn unit into a burn center is introduced and the necessary design inputs for the transformation are discussed because there is no holistic study in the literature that delas with all the spaces that should be in a burn center and relations between spaces. This study aims to define the functional relations between each of the units and the spaces that change according to different sterilization demands in the burn center for ensuring spatial infection control. Furthermore, it aims to propose a method for ensuring continuity in the control of spatial infections.

The burn care and health facilities guidelines are examined within the framework of spatial standards, together with a comprehensive literature review. The design method was based on the spread of microorganisms and the effect of human movement on space and spatial transitions in the burn center, according to all relevant literature reviews. To determine the extent to which the differences in treatment protocols of burn care guidelines were reflected in the space, interviews were conducted with burn facility officials. The plan–do–check–act (PDCA) method is also modeled to ensure the continuity of infection control in the burn center.

The burn center design findings are classified under three main headings, namely, location of the burn center in the hospital, spatial organization and physical features of the burn center and the air flowing system. The importance of the interactions among the criteria for spatial infection control has been revealed. Due to the physical space characteristics and air flow characteristics that change according to human movement and the way microorganisms spread, it has been seen that designing the air flow and architectural aspects together has an effective role in providing spatial infection control. Accordingly, a functional relation scheme for the center has been suggested. It is also proposed as a model to ensure the continuity of infection control in the burn center.

This research presents spatial measures for infection control in burn centers for practitioners in health-care settings such as designers, engineers, doctors and nurses. The PDCA method also leads to continuity of infection control for hospital management.

This is the first study, to the best of the authors’ knowledge, to focus on developing the criteria for spatial infection control in burn center. Moreover, the aim is to create a function chart that encompasses the relationships between the units within the burn center design so that infection control can be coordinated spatially.

The purpose of this study is to propose and verify a research model that investigates the mediating role of organizational commitment on the relationship between hotel employee-perceived reputation and organizational citizenship behaviors (OCBs).

Based on the data obtained from a sample of 323 hotel employees in China, the reliability, validity and hypothesized relationships in the model were tested through structural equation modeling using LISREL 8.70.

Empirical results show that different dimensions of corporate reputation affect OCBs differently. Social responsibility reputation has both direct and indirect effects on OCBs, while there is no direct link between employee-treatment reputation and OCBs. The relationship between corporate reputation and OCBs is mediated by organizational commitment.

Hotel managers should pay more attention to employee perception of the hotel’s reputation. Reputation management is as important as reputation building. Favorable perception of hotel’s reputation contributes to positive behavioral intentions.

Most recent research has explored the relationship between corporate reputation and customer behaviors. However, few studies take employee perception of reputation into consideration. This study tried to fill this void. Also, this study contributes to the current knowledge of both the reputation literature and citizenship literature by exploring the mediation of organizational commitment on the relationship between employee-perceived reputation and citizenship behaviors through data obtained from Chinese hotels.