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A religious revival is occurring in the United States today as the traditional wall preventing faith from entering the work place is crumbling. With workers increasingly practicing their religion at work, employers face a growing cavalcade of dilemmas, including those where employees discuss religious tenets, wear religious symbols, object to employer edits on the basis of faith, and proselytize. The faith/work challenge is made even more complex because of the greater number of religions practiced today (both traditional religions based on Judeo‐Christian principles and the so‐called “immigrant religions” that have blossomed during recent decades) coupled with the growing popularity of a host of “spirituality” movements. As the mixing of faith and work becomes common place, employers and employees naturally look to the law to establish concomitant rights and duties.

The questions posed for the national reporters for this International Seminar demonstrate the wide range of issues that can be included as part of an analysis of corporate social responsibility. Even limiting the discussion of corporate social responsibility to employment issues covers a broad scope, represented by the three general questions posed for this Seminar: (1) hiring policy; (2) personnel management policy; and social protection policy. Before entering this discussion of the three questions, though, it may be useful to step back to an even broader question of the meaning of the term, “corporate social responsibility” (CSR). The term, itself, carries an underlying assumption of the legitimacy of a particular economic system and its central actors; that is, corporations are central, legitimate, and functional actors in social relations within a capitalist economic structure. The concept of CSR does not question the existence of corporations and their role in maintaining a system of private ownership and control over capital. The fundamental goal of capitalism and corporations to maximize market control and profits remains intact. Policies favoring CSR, rather, seek to shape the conduct of corporations to increase socially responsible corporate practices, but do not challenge the legitimacy of corporate power. Such social responsibility may range from curbing human rights violations by corporations, such as violence against union organizers, to influencing corporations to provide decent wages to employees, to pressuring corporations to carry out business with out harming the environment. The recent attention to CSR may be understood as an expression of concern over the reduced effectiveness of individual nations to maintain the integrity of social welfare policy within current conditions of global power exercised by transnational corporations (TNC).

Gas evolution within lithium-ion batteries (LIBs) gives rise to safety concerns that question their applicability. The gas evolution is not only the result but also the inducement of performance deterioration of LIBs. In this paper, the growth characteristics and dynamic behavior of gas bubble on the electrode surface are studied, and the interference mechanism of gas evolution on Li-ion diffusion or Li-ion conduction within LIBs is discussed and validated by the numerical simulations.

First, the mathematical models and simulation method are established. The growth and flow of gas bubble in the serpentine channel on electrode surface, which results from the gas-liquid flow and the effects of surface tension, is modeled by using the multi-phase Navier-Stokes and the volume of fluid method. Integrating Butler–Volmer and Fick’s law, the mathematical model of ions transport in the electrochemical cell is set-up. Second, the motion of gas bubble is tracked, and the variations of bubble shape and characteristic parameters with time are obtained by the computed fluid dynamics (CFD) method.

Based on the CFD results, the battery models and electrochemical simulations are carried out to analyze the ionic transport characteristics. The results show that the microstructural morphology such as the serpentine channel shape and size on electrode surface are important aspects for the gas bubble growth and the local ionic transport. Li ions significantly accumulate at one side of the gas obstacle, hindering the ionic diffusion normally. When the gas bubble blocks the electrolyte, the passage of ions from the positive to the negative is interrupted, and the open circuit zone of the electrochemical cell is formed.

The gas evolution within LIBs is not only a result but also an inducement of its performance deterioration. The primary issues in this study are the growth characteristics and dynamic behavior of gas bubble on the electrode surface, providing the knowledge for the interference mechanism of gas evolution on ionic transport and ultimately leads to significant increase of battery resistance.

Automatic segmentation of brain tumor from medical images is a challenging task because of tumor's uneven and irregular shapes. In this paper, the authors propose an attention-based nested segmentation network, named DAU-Net. In total, two types of attention mechanisms are introduced to make the U-Net network focus on the key feature regions. The proposed network has a deep supervised encoder–decoder architecture and a redesigned dense skip connection. DAU-Net introduces an attention mechanism between convolutional blocks so that the features extracted at different levels can be merged with a task-related selection.

In the coding layer, the authors designed a channel attention module. It marks the importance of each feature graph in the segmentation task. In the decoding layer, the authors designed a spatial attention module. It marks the importance of different regional features. And by fusing features at different scales in the same coding layer, the network can fully extract the detailed information of the original image and learn more tumor boundary information.

To verify the effectiveness of the DAU-Net, experiments were carried out on the BRATS 2018 brain tumor magnetic resonance imaging (MRI) database. The segmentation results show that the proposed method has a high accuracy, with a Dice similarity coefficient (DSC) of 89% in the complete tumor, which is an improvement of 8.04 and 4.02%, compared with fully convolutional network (FCN) and U-Net, respectively.

The experimental results show that the proposed method has good performance in the segmentation of brain tumors. The proposed method has potential clinical applicability.

The precise segmentation of brain tumors is the most important and crucial step in their diagnosis and treatment. Due to the presence of noise, uneven gray levels, blurred boundaries and edema around the brain tumor region, the brain tumor image has indistinct features in the tumor region, which pose a problem for diagnostics. The paper aims to discuss these issues.

In this paper, the authors propose an original solution for segmentation using Tamura Texture and ensemble Support Vector Machine (SVM) structure. In the proposed technique, 124 features of each voxel are extracted, including Tamura texture features and grayscale features. Then, these features are ranked using the SVM-Recursive Feature Elimination method, which is also adopted to optimize the parameters of the Radial Basis Function kernel of SVMs. Finally, the bagging random sampling method is utilized to construct the ensemble SVM classifier based on a weighted voting mechanism to classify the types of voxel.

The experiments are conducted over a sample data set to be called BraTS2015. The experiments demonstrate that Tamura texture is very useful in the segmentation of brain tumors, especially the feature of line-likeness. The superior performance of the proposed ensemble SVM classifier is demonstrated by comparison with single SVM classifiers as well as other methods.

The authors propose an original solution for segmentation using Tamura Texture and ensemble SVM structure.

The purpose of this study is to explore the onboard activity choice of Chinese cruise tourists on three international cruise ships departing Shanghai, China.

A qualitative research method was adopted for this study. Data was collected using participant observation, casual conversation and semi-structured in-depth interviews from 76 Chinese cruise respondents. The data was analysed using thematic analysis.

Chinese cruise tourists were offered various onboard activities, most of which were Western. Booking these activities involved tourists searching information and assessing and choosing what appealed to them. They chose these activities according to the consumption values, and their decision was influenced by both context-dependent variables—the variety and style of the activities and their capacity to appeal, and the personal variable—age. Chinese tourists were satisfied with the array of onboard activity options and viewed them as an opportunity to experience Western culture. However, when they were unfamiliar with or did not understand some activities, they preferred Chinese activities.

This study formulates propositions to underlie a conceptual framework of how cruise tourists choose an onboard activity. The findings derived from the data will be valuable to cruise lines seeking to better manage tourists’ onboard experiences.

This paper aims to explore the factors that affect housing prices as per Chinese articles indexed in the Chinese Science Citation Database (CSCD). There were different foci regarding what drove housing prices in China in Chinese articles, and international journal articles in English. As most previous English articles only threw light on international research, it motivated the researchers to systematically review Chinese literature’s factors that affected housing prices in China.

This paper reviewed housing price research articles indexed in the two largest Chinese academic research databases: the CSCD and China Knowledge Infrastructure Engineering Database (CNKI.NET). It systematically collected the data and adopted descriptive analysis techniques and synthesis.

This research reviewed the literature published from 2015 to 2020 and revealed some unique factors affecting China's housing prices. For example, research focused on administrative aspects such as macroeconomic regulation and control (often known as macro control). Authors of Chinese articles suggested that the two-child policy affected housing prices, which differed from that in the English journal articles. The research results implied that researchers should read top Chinese journals on top of good international journals when they study China's real estate market in the future.

Because the domestic real estate market started late, domestic real estate transaction data and real estate-related statistics are more difficult to obtain. The research is mostly based on the relationship between supply and demand, government policy and individual consumer factors, and the sample has a short time span.

As China is a planned economy country, administrative factors are one main factor that affects the housing price. There were a significant number of articles in Chinese that considered this factor to be the main driver of the real estate price. It included government investment and macro-control, i.e. direct government intervention to cool down the overheated economy. Yet, there are few English articles that threw light on this factor including the commodity housing supply and government behaviour that affect housing price. The second-child policy, which is unique in China, also played an important role in the determination of the housing price. In the articles indexed in CNKI, the second-child rate, willingness to have a second child or having a second child were mentioned in the Chinese articles but not the English ones.

In this paper, the economic, social, administrative and environmental factors were summarised, which basically covered all the factors affecting housing prices. The administrative factors were a special group of factors that affect the housing price because of the country's planned economic system. Secondly, it provided useful information to real estate development enterprises in China. To make a correct investment and management decision, real estate development enterprises must understand the actual situation and possible problems of the industry. In this study, we analysed the research literature on the real estate industry in China for the period from 2015 to 2020 one by one and determined the influencing factors of the housing price, which provided references for effective cost control. Thirdly, it allows the public to understand and grasp the real estate industry. As the housing price has been continuously increasing, the public pays increasing attention to the real estate industry. Through the literature analysis of the impact of real estate prices, this paper revealed the elements of house price expenses, which makes it convenient for ordinary people to understand the real estate industry.

This study allows foreigners who do not know Chinese to know more about factors that drove housing prices from the Chinese perspective. It also provides insights to overseas developers who wish to enter the property market in China. The results can be generalised to other non-English-speaking real estate research.

Online knowledge communities have emerged as crucial places for knowledge and risk management in the face of systemic risks. The vitality of online knowledge communities requires users’ active engagement. This research paper aims to explore how text complex level and text analytic level as effective risk knowledge design leverages encourage users’ engagement under different “riskification” levels.

This paper performs linguistic analysis on 210 TED talk transcripts and 38,377 comments from 2002 to 2018. The authors construct the variable of text complex level and conduct ordinary least squares regressions to test the relationships among text complex level, text analytic level and user engagement under different levels of “riskification” in the online knowledge community.

High text complex level decreases engagement, while high text analytic level increases engagement. A high level of “riskification” exaggerates the negative effect of text complex level but diminishes the positive effect of the text analytic level.

This research advances knowledge management by highlighting users’ engagement and responding to shared risk knowledge from a different perspective than knowledge supply. The focus on risk communication in online knowledge communities broadens the scope of knowledge management literature beyond the confines of organizations. To the best of the authors’ knowledge, this research is among the first studies to propose risk knowledge design approaches for communicating systemic risks.

This paper aims to provide a comprehensive bibliometric study of housing prices according to the articles collected by the Web of Science (WOS).

This paper studies 4,125 research papers on housing prices in the core collection database of WOS. Using VOSviewer, this paper makes a bibliometric and visual analysis of the housing prices research from 1960 to 2020 and probes into the housing prices research from five aspects: time, international cooperation, institutions author cooperation and research focuses.

Keywords such as influencing factors of housing prices, analysis of supply and demand, policy and housing prices and regional cities appear frequently, which indicates the main direction of housing price research literature. Recent common keywords include regression analysis and house price forecast. Countries, like the USA started early in the study of housing prices, and the means and methods in the field of housing price research are mature, leading the forefront of housing price research. Compared with the USA and other Western developed countries, the housing price research in developing countries needs to use innovative research methods and put more effort on sustainability. Research shows that housing price is closely related to economy, and keyword cluster analysis shows that gross domestic product, interest rate, currency and other keywords related to economy are of high-frequency.

This paper only uses articles from one database (WOS), which does not represent all research papers published worldwide. Some studies have been published for a long time, and the reference value to the research focuses and future research might be limited. There are many kinds of journals included in the study with different publishing frequencies, time ranges and numbers of papers. These may have some influence on the research results.

The main theoretical contribution of this paper is to supplement the current academic research on housing prices. This paper reveals the key points of housing prices research and possible research problems that need attention. We can know from the future research direction and practice which can offer insights for future innovative direction.

The purpose of this paper is to empirically examine the service perceptions of mainland Chinese passengers on three international cruise ships.

Participant observation and casual conversations were conducted on three international cruise ships departing from Shanghai. Additionally, semi-structured in-depth interviews were conducted with 76 mainland Chinese cruise passengers over the three cruise trips.

The results suggest that mainland Chinese cruise passengers continually made cultural comparisons between Eastern and Western service. A preference for Western service was expressed, which passengers likened to luxury service that one would receive in China. In contrast to what they would expect to experience in China, passengers viewed cruise staff as polite and attentive, egalitarian, sincere and patient, interactive and engaged with the passengers, and committed to cleanliness. Although some passengers believed that the provision of more Chinese-speaking staff would improve the experience, most passengers did not perceive the ratio of Chinese-speaking staff to passengers to be an issue and were satisfied with the efforts of non-Chinese-speaking staff to provide high-quality service.

Understanding the service perceptions of mainland Chinese cruise passengers provides insights to cruise companies and travel agencies that service Chinese passengers.

Limited research has examined how mainland Chinese cruise passengers perceive Western service on cruise ships. This study provides insight into how to improve the service experience and enhance satisfaction of cruise passengers from mainland China.