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This paper aims to provide a framework of the supervised hyperspectral classification, to study the traditional flowchart of hyperspectral image (HIS) analysis and processing. HSI technology has been proposed for many years, and the applications of this technology were promoted by technical advancements.

First, the properties and current situation of hyperspectral technology are summarized. Then, this paper introduces a series of common classification approaches. In addition, a comparison of different classification approaches on real hyperspectral data is conducted. Finally, this survey presents a discussion on the classification results and points out the classification development tendency.

The core of this survey is to review of the state of the art of the classification for hyperspectral images, to study the performance and efficiency of certain implementation measures and to point out the challenges still exist.

The study categorized the supervised classification for hyperspectral images, demonstrated the comparisons among these methods and pointed out the challenges that still exist.

In the digital economy, what are the strategies of multinationals from developed countries and emerging markets? How do regulations in the home country affect their growth? Recent digital multinationals in diverse national and institutional contexts raise questions that require new approaches in international business (IB) studies. This chapter examines two leading firms in the global e-commerce industry: Amazon and Alibaba. We compare their digital capabilities and physical asset-building strategies over the past two decades and we connect the Internet governance environment in the United States and China with their business models and internationalization patterns. We argue that despite the platform and global nature of Amazon’s and Alibaba’s activities, the recent moves of governments across the world to regulate Internet governance poses an important challenge for digital multinationals. This research features a comparative analysis of two prominent digital multinationals and identifies a promising area for future IB strategy studies.

Discussion of religion and education continues to evoke conceptions of confessional teaching; however, research and educational practices in recent decades illustrate an expanded understanding that relates to the teaching of, about, and from religion across formal and non-formal educational spaces in secular and religious spheres. An expanded understanding also illustrates various intersections between religion and education that extend beyond religious or non-sectarian instruction, to include everything from the recognition and accommodation of religious student identities in K-12 public school settings, to the internationalization of religious higher education. Drawing on the Comparative and International Education Society’s Religion & Education Special Interest Group’s programing and activities, this paper aims to present a brief summary of trends observed both in research and practice concerning religion and education among educators worldwide, and highlights the place of religion in our growing recognition of intersectionality, one that occurs between academics and the community.

Safety climate (SC) is considered a leading indicator of safety performance, but scholars suggest that a common SC assessment framework is yet to be developed. Following the debate between the importance of facet analysis and agent analysis, the purpose of this paper is to test a factor structure, developed by the authors in previous work and arising from their systematic literature review, highlighting the role of safety agents in a construction site setting.

Multi-level SC surveys were conducted at five construction sites in Sydney, Australia, collecting data from of 352 workers associated with a mega-construction project. While examining the factor analysis of different studies, data reliability and data validity of the survey findings were ensured and a goodness-of-fit of SC model was examined through structural equation modelling.

The systematic literature review of Newaz et al. (2018) suggested a five-factor model of: management commitment, safety system, role of the supervisor, workers’ involvement and group SC. However, empirical data indicated that the questionnaire used to measure “safety system” failed to pass scale reliability; thus, a four-factor model was proposed to develop an agent-specific SC factor structure in the construction industry.

The four-factor model indicates the role and level of influence of different safety agents to improve safety perceptions on construction sites. The findings of this study will encourage researchers in construction safety to use the simplified four-factor SC (agent-specific) model presented and test it to further develop a common factor structure for the construction industry. The fact that the model is comprised of four factors makes further implementation somewhat easier in the development of safety plans, and when considering the role of safety agents, therefore enhancing its potential value.

Safety climate and its impact on safety performance is well established; however, researchers in this field suggest that the absence of a common assessment framework is a reflection of the state of development of this concept. The purpose of this paper is to propose a five-factor model that can be used to diagnose and measure safety climate in construction safety research and practice.

A systematic review was adopted, and following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, 574 articles were selected at the start of the study based on a developed review protocol for investigating safety climate factors. While examining the factor analysis of different studies, data reliability and data validity of the individual research findings were considered and frequency of factors uploaded was used to determine the significance as a quantitative measure to develop the ranking of safety climate factors.

The review identified that, from the established measures of safety climate in construction, there is little uniformity on factor importance. However, management commitment safety system role of the supervisor; workers’ involvement and group safety climate were found to be the most common across the studies reviewed. It is proposed these factors are used to inform a five-factor model for investigating safety climate in the construction industry.

The findings of this study will motivate researchers and practitioners in safety to use the five-factor safety climate model presented in this paper and test it to develop a common factor structure for the construction industry. The fact that the model is comprised of five factors makes it easier to be used and implemented by small-to medium-sized construction companies, therefore enhancing its potential use.

Despite many studies that aim to argue, develop and position the concept of psychological contracts, few have explored how a psychological contract may be applied to safety in the construction industry. A psychological contract of safety (PCS) describes an individual's conceptualized belief that relates to mutual safety obligations, drawn from explicit or implicit promises of associated workers or its supervisor. This study investigates safety practices on construction sites through the lens of the widely applied and researched psychological contract theory emanating from a business paradigm.

The process of validating a PCS scale within the construction industry required the collection of data from a mega-construction project in Sydney, Australia. A quantitative methodology was used to collect data from 352 construction workers through a survey instrument designed to reveal their perception of procedures, policies and practices. Structural equation modelling (SEM) was used to ensure data reliability and data validity of the survey findings together with goodness of fit of PCS model.

The findings showed the presence of a PCS in a construction safety setting examined. A two-factor model underlying aspects, namely employer and employee obligations was recommended since the four-factor model, including relational and transactional components of both parties' safety obligations, could not be validated due to the discriminant validity associated with the particular constructs.

Conceptualizing the extant PC theory as a framework from which to leverage safety management initiatives brings a new approach to construction safety studies, revealing the influential role of supervisors in interpreting safety practices. The research aimed to identify safety obligations, which are influential in the development of PSC scale, further the research provides an explanation as to how a PCS may be contextualized in the construction industry.

This paper aims to represent an empirical study of what role does structural empowerment play in the relationship between multi-stakeholder value co-creation (VCC) and the success of new product development (NPD).

The hypotheses developed in this paper are tested by using data from 243 manufacturing companies worldwide.

The results show that the VCC activities have significant positive effects on NPD success, and structural empowerment moderates the impact of VCC activities on NPD success, but the moderating effect is not significant for customer involvement.

This study contributes to the research of VCC and discusses the positive role of structural empowerment to enhance the impact of VCC activities on NPD success.

This study aims to better understand the morphological characteristics of single particle and the health risk characteristics of heavy metals in PM_2.5 in different functional areas of Handan City.

High resolution transmission electron microscopy was used to observe the aerosol samples collected from different functional areas of Handan City. The morphology and size distribution of the particles collected on hazy and clear days were compared. The health risk evaluation model was applied to evaluate the hazardous effects of particles on human health in different functional areas on hazy days.

The results show that the particulate matter in different functional areas is dominated by spherical particles in different weather conditions. In particular, the proportion of spherical particles exceeds 70% on the haze day, and the percentage of soot aggregates increases significantly on the clear day. The percentage of each type of particle in the teaching and living areas varied less under different weather conditions. Except for the industrial area, the size distribution of each type of particle in haze samples is larger than that on the clear day. Spherical particles contribute more to the small particle size segment. Soot aggregate and other shaped particles contribute more to the large size segment. The mass concentrations of hazardous elements (HEs) in PM_2.5 in different functional areas on consecutive haze pollution days were illustrated as industrial area > traffic area > living area > teaching area. Compared with the other functional areas, the teaching area had the lowest noncarcinogenic risk of HEs. The lifetime carcinogenic risk values of Cr and As elements in each functional area have exceeded residents’ threshold levels and are at high risk of carcinogenicity. Among the four functional areas, the industrial area has the highest carcinogenic and noncarcinogenic risks. But the effects of HEs on human health in the other functional areas should also be taken seriously and continuously controlled.

The significance of the study is to further understand the morphological characteristics of single particles and the health risks of heavy metals in different functional areas of Handan City. the authors hope to provide a reference for other coal-burning industrial cities to develop plans to improve air quality and human respiratory health.

This paper is devoted to prepare micro-cone structure with variable cross-section size by Stereo Lithography Appearance (SLA)-based 3D additive manufacturing technology. It is mainly focused on analyzing the forming mechanism of equipment and factors affecting the forming quality and accuracy, investigating the influence of forming process parameters on the printing quality and optimization of the printing quality. This study is expected to provide a µ-SLA surface preparation technology and process parameters selection with low cost, high precision and short preparation period for microstructure forming.

The µ-SLA process is optimized based on the variable cross-section micro-cone structure printing. Multi-index analysis method was used to analyze the influence of process parameters. The process parameter influencing order is determined and validated with flawless micro array structure.

After the optimization analysis of the top diameter size, the bottom diameter size and the overall height, the influence order of the printing process parameters on the quality of the micro-cone forming is: exposure time (B), print layer thickness (A) and number of vibrations (C). The optimal scheme is A1B3C1, that is, the layer thickness of 5 µm, the exposure time of 3000 ms and the vibration of 64x. At this time, the cone structure with the bottom diameter of 50 µm and the cone angle of 5° could obtain a better surface structure.

This study is expected to provide a µ-SLA surface preparation technology and process parameters selection with low cost, high precision and short preparation period for microstructure forming.