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In shield tunneling projects, human, shield machine and underground environment are tightly coupled and interacted. Accidents often occur under dysfunctional interactions among them. Therefore, this paper aims to develop a multi-agent based safety computational experiment system (SCES) and use it to identify the main influential factors of various aspects of human, shield machine and underground environment.

The methods mainly comprised computational experiments and multi-agent technologies. First, a safety model with human-machine-environment interaction consideration is developed through the multi-agent technologies. On this basis, SCES is implemented. Then computational experiments are designed and performed on SCES for analyzing safety performance and identifying the main influential factors.

The main influential factors of two common accidents are identified. For surface settlement, the main influential factors are ranked as experience, soil density, soil cohesion, screw conveyor speed and thrust force in descending order of influence levels; for mud cake on cutter, they are ranked as soil cohesion, experience, cutter speed and screw conveyor speed. These results are consistent with intuition and previous studies and demonstrate the applicability of SCES.

The proposed SCES provides comprehensive risk factor identification for shield tunneling projects and also insights to support informed decisions for safety management.

A safety model with human-machine-environment interaction consideration is developed and computational experiments are used to analyze the safety performance. The novel method and model could contribute to system-based safety research and promote systematic understanding of the safety performance of shield tunneling projects.

On shield tunnel construction (STC) site, human error is widely recognized as essential to accident. It is necessary to explain which factors lead to human error and how these factors can influence human performance. Human reliability analysis supports such necessity through modeling the performance shaping factors (PSFs). The purpose of this paper is to establish and validate a PSF taxonomy for the STC context.

The approach taken in this study mainly consists of three steps. First, a description of the STC context is proposed through the analysis of the STC context. Second, the literature which stretch across the PSF methodologies, cognitive psychology and human factors of STC and other construction industries are reviewed to develop an initial set of PSFs. Finally, a final PSF set is modified and validated based on STC task analysis and STC accidents cases.

The PSF taxonomy constituted by 4 main components, 4 hierarchies and 85 PSFs is established for human behavior modeling and simulation under the STC context. Furthermore, by comparing and evaluating the performance of STC PSF and existing PSF studies, the proposed PSF taxonomy meets the requirement for qualitative and quantitative analysis.

The PSF taxonomy can provide a basis and support for human behavior modeling and simulation under the STC context. Integrating PSFs into a behavior simulation model provides a more realistic and integrated assessment of human error by manifesting the influence of each PSFs on the cognitive processes. The simulation results can suggest concrete points for the improvement of STC safety management.

This paper develops a taxonomy of PSFs that addresses the various unique influences of the STC context on human behaviors. The harsh underground working conditions and diverse resources of system information are identified as key characteristics of the STC context. Furthermore, the PSF taxonomy can be integrated into a human cognitive behavior model to predict the worker’s behavior on STC site in future work.

The purpose of this paper is to study the reliability of SnAgCu solder interconnections under different thermal shock (TS) loading conditions.

The finite element method was employed to study the thermomechanical responses of solder interconnections in TS tests. The stress‐strain analysis was carried out to study the differences between different loading conditions. Crack growth correlations and lifetime predictions were performed.

New crack growth data and correlation constants for the lifetime prediction model are given. The predicted lifetimes are consistent with the experimental results. The simulation and experimental results indicate that among all the loading conditions studied the TS test with a 14‐min cycle time leads to the earliest failure of the ball‐grid array (BGA) components.

The paper presents new crack growth correlation data and the constants of the lifetime prediction models for SnAgCu solder interconnections, as well as for the BGA components. The paper adds insight into the thermomechanical reliability evaluation of SnAgCu solder interconnections.

Because the web can be an influential medium for attracting and retaining customers, it is critical to examine the connection between web advertising and corporate strategy. This is particularly true for multinational organizations, which face the most complex organizational environment. The purpose of this paper is to propose that multinational organizations should be concerned with alignment of their strategy and web image because of the size and geographic spread of their operations.

This research paper reviews the fundamental global strategies that corporations can pursue (e.g. integration, transnational, national responsiveness) and then empirically examine the relationship between corporate global strategy and web advertising strategy for 20 multinational organizations.

The results show that misalignment between corporate global strategy and web advertising strategy is reasonably common. For two thirds of the companies in our sample, there was imperfect alignment.

The paper suggests three reasons why this can be, and offer a tool that enables organizations to recognize how they should handle design and content matters for the combination of corporate and national web sites.

Through three case studies, the authors aim to examine how Confucian humanistic philosophy can be applied to leadership practices and show how it is possible to practice humanistic leadership in the Chinese context.

The authors use case studies of three exemplary humanistic leaders and the companies they lead to describe their leadership practices and influence on others and their companies.

The authors identify three common elements that connect their observations to an emerging scholarly conceptualization of humanistic leadership and develop a framework of Confucian humanistic leadership consisting of five attributes. The cases the authors studied suggest that the five attributes should be understood as being mutually reinforcing and acting in concert, rather than each acting independently of the others. The authors found that there is inherent consistency and connection between the core values of Confucianism and humanistic leadership.

The research contributes to the leadership literature, specifically the emerging literature on humanistic leadership, by introducing a framework for Confucian humanistic leadership. While much of the extant literature on humanistic leadership has been conceptual, the study shows how it is possible to practice humanistic leadership in the Chinese context by drawing on the foundation provided by Confucian humanistic philosophy. The findings also contribute to humanistic leadership research by providing important insights into specific capabilities that can help put the principles of humanistic leadership into practice, but that have not been considered to date.

Furniture plays a significant role in daily life. Advanced computational and manufacturing technologies provide new opportunities to create novel, high-performance and customized furniture. This paper aims to enhance furniture design and production by developing a new workflow in which computer graphics, topology optimization and advanced manufacturing are integrated to achieve innovative outcomes.

Workflow development is conducted by exploring state-of-the-art computational and manufacturing technologies to improve furniture design and production. Structural design and fabrication using the workflow are implemented.

An efficient transdisciplinary workflow is developed, in which computer graphics, topology optimization and advanced manufacturing are combined. The workflow consists of the initial design, the optimization of the initial design, the postprocessing of the optimized results and the manufacturing and surface treatment of the physical prototypes. Novel chairs and tables, including flat pack designs, are produced using this workflow. The design and fabrication processes are simple, efficient and low-cost. Both additive manufacturing and subtractive manufacturing are used.

The research outcomes are directly applicable to the creation of novel furniture, as well as many other structures and devices.

A new workflow is developed by taking advantage of the latest topology optimization methods and advanced manufacturing techniques for furniture design and fabrication. Several pieces of innovative furniture are designed and fabricated as examples of the presented workflow.

This study aims to evaluate the protection performance of zinc as sacrificial anode for ABS A steel in the presence of H₂S under different temperatures, pH and salinities.

In this paper, weight loss measurements and electrochemical measurements are used to evaluate the corrosion degree of zinc and ABS A steel.

Under the conditions involved in this work, it is shown that zinc is a nice sacrificial anode with the reason of its stable potential and excellent anode current efficiency according to the relevant standard. And it is also found that the hydrogen evolution does not occur on ABS A steel specimens. The potential difference between cathode and anode is suitable; thus, it can be concluded that each steel is well protected.

To the best of the authors’ knowledge, no other study has analyzed the protection mechanism and effect of zinc as sacrificial anode in H₂S-containing environments under high temperature at present.

In light of the threat posed by the COVID-19 pandemic, Chinese authorities have called for the adoption of the individual dining style (IDS) as a preventive measure for the pandemic and a new norm for civilized code of conduct. Accordingly, this study aims to investigate the factors influencing the Chinese people’s intention to adopt the IDS.

The authors applied the capability, opportunity and motivation model of behavior (COM-B) and identified potential predictors influencing the intention to adopt the IDS through a review of the literature. Data were collected through an online survey, and structural equation modeling was applied to test the hypotheses.

The results indicated that the most influential predictors were subjective norm, social norm, perceived benefit and past behavior, while the other predictors (including breaking habits, communal dining culture, perceived behavioral control, perceived health risk and social risk) had insignificant effects on the intention to adopt IDS.

First, educational public health messages should communicate the benefits of IDS. Second, persuasive public communication should focus on how people are implementing the target behavior rather than drawing attention to a minority who are disregarding it. Moreover, given the highly significant effects of subjective norm, public health campaigns should emphasize that adoption of the desired behavior expresses care for significant others.

The findings advance understanding of an underexplored topic, namely, how deeply ingrained ways of dining may be transformed in the current context. Applying the COM-B, the authors tested multiple variables to explain the intention to adopt IDS. The results suggest that some social influences (subjective norm and social norm) and reflective cognitive processes (perceived benefit) had the greatest impacts on behavior intentions. Moreover, the results indicate that threat of COVID-19 may not prompt people to change their dining styles. However, the benefits of IDS to prevent the spread of infectious diseases could lead to its wider adoption.

This study aims to explore the quality of user-generated content regarding readability, polarity, word length and diversity, as well as its implications for guest satisfaction in Las Vegas luxury gaming resorts.

This study examined 12,940 textual customer reviews from six luxury hotels in luxury gaming destination resorts via Google Travel gathered from SCTM 3 (Smart Crawling and Text Mining). Moreover, the regression analysis identified the relationship between the variables in the textual customer reviews and the customer’s overall satisfaction.

A key finding of this study revealed that word length moderates the relationship between readability and overall customer satisfaction negatively, whereas it positively moderates the path from sentiment polarity and diversity to overall customer satisfaction.

This study contributes to the relationship between technical aspects of online reviews. The adopted methodology allows us to precisely identify the essential attributes that influence customer satisfaction through textual reviews. Further, the study explores the quality of user-generated content, addressing aspects such as readability, polarity, diversity and word length, providing a unique perspective on how these specific elements directly impact customer satisfaction in this context of hotels in luxury in Las Vegas.

本研究探讨了用户生成内容的可读性、情感倾向、词长和多样性等方面的质量, 以及这些因素对拉斯维加斯豪华博彩度假村顾客满意度的影响。

本研究通过 SCTM 3（智能爬虫与文本挖掘）收集了谷歌旅行上的六家豪华酒店的12,940 条客户评论文本。此外, 回归分析确定了文本客户评论中的变量与客户整体满意度之间的关系。

本研究的一个关键发现是, 词长在可读性与整体顾客满意度之间的关系中起到负面调节作用, 而在情感倾向和多样性与整体顾客满意度之间的路径中起到正面调节作用。

本研究对在线评论的技术方面之间的关系作出了贡献。采用的方法使我们能够精确识别通过文本评论影响顾客满意度的关键属性。此外, 本研究探讨了用户生成内容的质量, 涉及可读性、情感倾向、多样性和词长等方面, 提供了独特视角, 揭示了这些具体元素如何直接影响拉斯维加斯豪华酒店顾客满意度。