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This study aims to clarify the evolution law of stress field and fracture field during the mining process of inclined coal seam, to prevent the occurrence of roof burst water and impact ground pressure accident during the advancing process of working face.

The evolution law of stress-fracture field under different mining conditions of inclined coal seam was studied by using discrete element method and similar material simulation method.

The overburden stress at the lower end of the coal seam was mainly transmitted to the deep rock mass on the left side, and the overburden stress at the upper end was mainly transmitted to the floor direction. With the increase of the inclined length of the mining coal seam, the development of the fracture zone gradually evolves from the “irregular arch” form to the “transversely developed trapezoid” form. The development range of the fracture zone was always in the internal area of the stress concentration shell.

An original element of this paper is based on the condition that the dip angle of coal seam is 35°, and the evolution law of overburden stress-fracture field during the excavation of coal seam with different lengths was analyzed by UDEC numerical simulation software. The coupling relationship between stress shell and fracture field was proposed, and the development range of fracture zone was determined by stress. The value of this paper is to provide technical support and practical basis for the safety production of a mine working face.

Currently, engineering project design lacks a design framework that fully combines subjective experience and objective data. This study develops an aided design decision-making framework to automatically output the optimal design alternative for engineering projects in a more efficient and objective mode, which synthesizes the design experience.

A database of design components is first constructed to facilitate the retrieval of data and the design alternative screening algorithm is proposed to automatically select all feasible design alternatives. Then back propagation (BP) neural network algorithm is introduced to predict the cost of all feasible design alternatives. Based on the gray relational degree-particle swarm optimization (GRD-PSO) algorithm, the optimal design alternative can be selected considering multiple objectives.

The case study shows that the BP neural network-cost prediction algorithm can well predict the cost of design alternatives, and the framework can be widely used at the design stage of most engineering projects. Design components with low sensitivity to design objectives have been obtained, allowing for the consideration of disregarding their impacts on design objectives in such situations requiring rapid decisions. Meanwhile, design components with high sensitivity to design objective weights have also been obtained, drawing special attention to the effects of changes in the importance of design objectives on the selection of these components. Simultaneously, the framework can be flexibly adjusted to different design objectives and identify key design components, providing decision reference for designers.

The framework proposed in this paper contributes to the knowledge of design decision-making by emphasizing the importance of combining objective data and subjective experience, whose significance is ignored in the existing literature.

To gain a deeper understanding of the determinants impacting the intention of Chinese young consumers to utilize virtual try-on apps (VTOs), this study adopts a modified version of the electronic technology acceptance model (e-TAM). The primary objective is to investigate how consumers' characteristics influence their post-use feelings, subsequently affecting their attitude towards VTOs and their intention to use them. Additionally, this research aims to explore potential gender differences within this process.

In this study, a sample of 243 college students from a university in China was recruited to participate in on-site software use. A total of 227 valid questionnaires were collected and used for data analysis. Structural equation modeling (SEM) was employed to empirically evaluate the data and test the research hypotheses. Additionally, multiple group comparisons were conducted based on gender to examine potential differences in the acceptance process.

The findings of this study reveal a significant association between users' individual characteristics and post-use feelings. Moreover, there are notable differences between male and female students in terms of their perceptions of innovativeness, knowledge and understanding regarding post-use feelings. Notably, four variables within post-use feelings, except for perceived compatibility, are found to be predictive of attitude towards VTOs. Additionally, it is observed that attitude towards VTOs directly influences users' intention to utilize them.

This study contributes to the research on consumers' intention to use VTOs by examining the antecedents of post-use feelings, specifically four consumers’ individual characteristics. The findings of this study offer managerial insights for professionals to formulate marketing positioning and communication strategies.

This paper aims to study the corrosion inhibition behavior of imidazopyridine and its three derivatives on brass.

The authors performed weight loss experiments, electrochemical experiments including the polarization curve and electrochemical impedance spectrum, corrosion morphology observation using scanning electron microscope (SEM) and atomic force microscope (AFM) and surface composition analysis via X-ray photoelectron spectroscopy (XPS) to analyze the corrosion inhibition behavior of imidazopyridine and its three derivatives on brass by using quantum chemical calculation (Gaussian 09), molecular dynamics simulation (M-S) and Langmuir adsorption isotherm.

According to the results, imidazole-pyridine and its derivatives were found to be modest or moderately mixed corrosion inhibitors; moreover, they were spontaneously adsorbed on the metal surface in a single-layer, mixed adsorption mode.

The corrosion inhibition properties of pyrazolo-[1,2-a]pyridine and its derivatives on brass in sulfuric acid solution were analyzed through weight loss and electrochemical experiments. Moreover, SEM and AFM were simultaneously used to observe the corrosion appearance. Furthermore, XPS was used to analyze the surface. Then, Gaussian 09 and M-S were combined along with the Langmuir adsorption isotherm to investigate the corrosion inhibition mechanism of imidazole-[1,2-a]pyridine and its derivatives.

Traditional multivariable grey prediction models define the background-value coefficients of the dependent and independent variables uniformly, ignoring the differences between their physical properties, which in turn affects the stability and reliability of the model performance.

A novel multivariable grey prediction model is constructed with different background-value coefficients of the dependent and independent variables, and a one-to-one correspondence between the variables and the background-value coefficients to improve the smoothing effect of the background-value coefficients on the sequences. Furthermore, the fractional order accumulating operator is introduced to the new model weaken the randomness of the raw sequence. The particle swarm optimization (PSO) algorithm is used to optimize the background-value coefficients and the order of the model to improve model performance.

The new model structure has good variability and compatibility, which can achieve compatibility with current mainstream grey prediction models. The performance of the new model is compared and analyzed with three typical cases, and the results show that the new model outperforms the other two similar grey prediction models.

This study has positive implications for enriching the method system of multivariable grey prediction model.

Exploring the Lean and Green relationship goes back to the beginnings of Lean manufacturing. Most cases established that companies implementing Lean have Green results. However, there are Lean practices with a higher impact on Green, but others with less impact. Therefore, this paper presents research that explores the relationship between Lean and Green in manufacturing companies and aims to determine whether Lean practices have a higher association with Green aspects.

A survey was conducted amongst manufacturing firms to determine their Lean Index (LI). The internally related elements of the Lean construct determined each firm’s LI, whilst Cronbach alpha determined internal LI consistency. The survey also identified firms developing six Green aspects: International Organisation for Standardisation (ISO) 14001, ISO 50001, general Green aspects and the specific aspects of materials, energy and water. An individual sample t-test shows different LI levels of association for each Green aspect. Binomial logistic regression shows the LI element association for each Green aspect.

LI is higher at firms reporting the inclusion of Green aspects. More than half of LI components have a statistically relevant association with the six Green aspects. In general, Ishikawa diagrams had the highest association with Green aspects whilst the lowest was seen in workers as improvement initiators. By grouping the LI elements into their categories, the Lean practices related to controlling processes have a higher association, whilst the involvement of employees has the lowest.

Further research found in this paper identifies the possibilities for investigating the specificities of each Lean tool to develop Green aspects in companies.

Practitioners learn that Lean and Green are not separate issues in business. This article provides evidence that Lean practices in place at companies are already associated with Green aspects, so integration may already be happening.

This paper provides specifics on the relationship between each Lean practice and developing Green aspects. Thus, this paper specifies the Lean practices that contribute most to Green efficiency to support the joint development of both themes.

In the present study, we examined how effectively online travel agencies (OTAs) handle negative e-word-of-mouth on social media platforms like Facebook, Twitter, and Instagram. We collected data from 497 participants using survey method. To test the hypotheses formulated from the existing literature, structural equation modeling was adopted in this study. The results from structural equation modeling indicate effective handling of the negative e-word of mouth (e-WOM) on social media websites significantly affects customer satisfaction and repurchase intention. The current research work provides insight into social media recovery efforts and service fairness when handling negative e-WOM. The study recommends that customers can distinguish the differences between general efforts and adaptive complaint-handling efforts, and dissimilarities may influence satisfaction, repurchase intentions, etc. Although empathy, apology, responsiveness, and paraphrasing are considered pioneer strategies in complaint handling, customers' negative e-WOM, and firms' recovery management, but the current study is among a few to categorize OTAs' handling of negative e-WOM and complaint handling efforts in the social media environment.

This study aims to empower cruise academia to assert their role as enablers, and potentially drivers, of sustainable, responsible and resilient cruise futures.

This contribution represents a synthesis and a critical reflection of cruise-related research-review literature over the last four decades, assessing its impact and potential in terms of influencing the evolution and future developments of cruise tourism.

Cruise research between the 1980s and the first decade of this century could be characterised as “ship-centric” and managerially focused. Over the last decade and up to the aftermath of the COVID-19 pandemic, cruise research has become increasingly “cruise-destination centric”, with sustainability emerging as a dominant theme. Diverging somewhat from the public and media emphasis on environmental concerns and risks, academic research tends to focus on the economic aspects of sustainability. Nonetheless, and despite aiming for practical relevance, cruise research tends to remain reactive and lags behind industry trends.

This paper proposes a shift from a “applied” to an “applicable” research paradigm, inspiring researchers to proactively shape the industry‘s future by embracing “what-ifs” in their thematic scope. Such a paradigm calls for a normativity-enriched methodological diversity, as well as the inclusion of transformational relevance as an indicator of research impact.

Public perceptions of cruise tourism have changed over the years, evolving from that of a promising holiday niche to a symbol of unsustainable mass tourism. In this context, cruise scholars are offered guidance for transcending the polarising debate of growth versus de-growth/limits while increasing the relevance and transformational impact of cruise scholarship.

这篇论文是对过去四十年来与邮轮旅游相关的研究评论文献的综述和批判性反思, 评估其在影响邮轮旅游的演变和未来发展方面的影响和潜力。

总体目标是增强邮轮学术界的能力, 使其能够在可持续、负责任和有弹性的邮轮未来发展中发挥促进者和潜在推动者的作用。

20 世纪 80 年代至本世纪头十年的邮轮研究可以说是 “以船为中心”, 以管理为重点。 在过去的十年中, 直到 COVID19 大流行之后, 邮轮研究越来越 “以邮轮目的地为中心”, 可持续发展成为主导主题。 与公众和媒体强调的环境问题和风险有些不同, 学术研究往往侧重于可持续发展的经济方面。 尽管如此, 邮轮研究尽管以实际相关性为目标, 但仍倾向于被动应对, 落后于行业发展趋。

本文提出了从 “应用 “研究范式向 “适用 “研究范式的转变, 激励研究人员通过在其主题范围内接受 “假设”, 积极塑造行业的未来。这种范式要求在方法上丰富规范性, 并将变革相关性作为衡量研究影响力的指标。

多年来, 公众对邮轮旅游的看法发生了变化, 从充满希望的度假小众旅游发展成为不可持续的大众旅游的象征。在此背景下, 为邮轮学者提供了指导, 以超越增长与去增长/限制的两极化争论, 同时提高邮轮学术研究的相关性和变革性影响。

Esta contribución representa una síntesis y una reflexión crítica de la literatura de investigación-revisión relacionada con los cruceros durante las últimas cuatro décadas, evaluando su impacto y potencial en términos de influencia sobre la evolución y futuros desarrollos del turismo de cruceros.

El objetivo general es capacitar al mundo académico de los cruceros para hacer valer su papel como facilitadores, y potencialmente impulsores, de futuros cruceros sostenibles, responsables y resilientes.

La investigación sobre cruceros entre los años 80 y la primera década de este siglo, podría caracterizarse como “centrada en el barco” y enfocada a la gestión. Durante la última década y hasta las secuelas de la pandemia de COVID19, la investigación sobre cruceros se ha vuelto cada vez más “centrada en los cruceros-destino”, con la sostenibilidad emergiendo como tema dominante. Apartándose un tanto del énfasis público y mediático en las preocupaciones y riesgos medioambientales, la investigación académica tiende a centrarse en los aspectos económicos de la sostenibilidad. No obstante, y a pesar de aspirar a la relevancia práctica, la investigación sobre cruceros tiende a seguir siendo reactiva y se queda rezagada con respecto a las tendencias del sector.

Este documento propone un cambio de un paradigma de investigación “aplicado” a otro “aplicable”, que inspire a los investigadores a configurar de forma proactiva el futuro de la industria, abarcando los “y si…” en su ámbito temático. Dicho paradigma exige una diversidad metodológica enriquecida por la normatividad, así como la inclusión de la relevancia transformadora como indicador del impacto de la investigación.

La percepción pública del turismo de cruceros ha cambiado a lo largo de los años, evolucionando desde la de un nicho vacacional prometedor a la de un símbolo del turismo de masas insostenible. En este contexto, se ofrece a los estudiosos de los cruceros una guía para trascender el polarizante debate de crecimiento frente a decrecimiento/límites, al tiempo que se aumenta la relevancia y el impacto transformador de los estudios sobre cruceros.

This study aims to explore the differences in the tourists’ perceived destination image on travel e-commerce platforms (e.g. Ctrip and Fliggy) and social media platforms (e.g. Xiaohongshu and Weibo).

Ensuring the safety of structures is important. However, when a structure possesses both an implicit performance function and an extremely small failure probability, traditional methods struggle to conduct a reliability analysis. Therefore, this paper proposes a reliability analysis method aimed at enhancing the efficiency of rare event analysis, using the widely recognized Relevant Vector Machine (RVM).

Drawing from the principles of importance sampling (IS), this paper employs Harris Hawks Optimization (HHO) to ascertain the optimal design point. This approach not only guarantees precision but also facilitates the RVM in approximating the limit state surface. When the U learning function, designed for Kriging, is applied to RVM, it results in sample clustering in the design of experiment (DoE). Therefore, this paper proposes a FU learning function, which is more suitable for RVM.

Three numerical examples and two engineering problem demonstrate the effectiveness of the proposed method.

By employing the HHO algorithm, this paper innovatively applies RVM in IS reliability analysis, proposing a novel method termed RVM-HIS. The RVM-HIS demonstrates exceptional computational efficiency, making it eminently suitable for rare events reliability analysis with implicit performance function. Moreover, the computational efficiency of RVM-HIS has been significantly enhanced through the improvement of the U learning function.