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Community-based disaster management and access to social resilience during disasters are fundamentally based on the concept of participation of all social groups. Up to now, no comprehensive study has been done regarding adolescents’ roles and experiences in all stages of disaster management, and discussions existing in the domain of adolescents’ engagement in disaster risk management are usually restricted to children’s participation. Thus, this study aims to extract the effective components and factors in disaster education to improve adolescents’ resilience to disasters.

This systematic review was done through English databases and three Persian databases between August 18, 2001, and August 31, 2021. The articles were searched based on the PRISMA checklist using four key dimensions of “resilience,” “disasters,” “adolescents” and “education.” Finally, the effective components and factors in disaster education for improving adolescents’ resilience during disasters were extracted.

Totally, 29,856 articles were extracted through the systematic review. After studying the titles, abstracts and contents of the extracted articles, 17 were selected for the final analysis. Among these articles, 3, 12 and 2 had qualitative, quantitative and mixed research designs, respectively. The extracted components were categorized into five major categories including education, community, adolescents, resilience and governing policies and approaches.

Unfortunately, due to sanctions, Shiraz University of Medical Sciences did not have access to the Embase database, and consequently, this database could not be used.

The results of this systematic review presented an overall view of the effective components of adolescents’ disaster resilience education. The formation of thoughts developed feelings, and social knowledge in this age group provides a wide range of opportunities for social empowerment and intergenerational knowledge transfer.

(1) The shear lag effect and its additional deflection contribution to composite beams based on spatial grid elements were presented. (2) A refined spatial grid element analysis method that can simultaneously obtain the internal forces, displacements and stresses of various parts of a composite beam.

A refined spatial grid element analysis method.

The proposed method can directly obtain the internal forces and displacements of the joints of the composite beam roof, floor and web.

To comprehensively comprehend the mechanical behavior of double-girder steel plate composite girder bridge structures and facilitate refined analysis, this paper introduces a refined spatial grid element analysis model applicable to both the global and local domains.

As less is known about how internal communication can influence employees’ whistleblowing intention, this study aims to explore how participatory communication, organizational listening and organizational responsiveness influence employees’ external whistleblowing intention.

An online survey was conducted with 657 employees across various industries in the United States.

The results revealed that participatory communication, organizational listening and organizational responsiveness can fulfill the organization’s relational contract with their employees. As a communication-charged outcome, the fulfillment of employees’ relational psychological contract is associated with a lower intention to blow the whistle externally.

This study is among the first to examine internal communication strategies, namely, participatory communication, organizational listening and organizational responsiveness, as the antecedents of employees’ relational psychological contract and external whistleblowing intention.

As quality becomes increasingly prioritized in supply chain management, understanding how supply chain quality risk management (SCQRM) practices impact quality performance (QP) is essential. This study investigates the effects of two SCQRM practices – risk prevention (RP) and proactive product recall (PPR) – on QP, with a particular focus on the mediating role of supply chain quality integration (SCQI).

A structured survey was administered to gather data from 400 Chinese manufacturing firms. Structural equation modeling was employed to evaluate the proposed relationships among SCQRM practices (RP and PPR), SCQI and QP.

The findings reveal that both RP and PPR significantly and positively influence QP. Specifically, in the structural model, RP exerts a positive effect on SCQI, while PPR also positively impacts SCQI. Additionally, SCQI serves as a mediator between RP and QP, as well as between PPR and QP.

This study contributes to the supply chain management literature by elucidating the beneficial effects of RP and PPR on QP and identifying SCQI as a key mediating factor in these relationships. Leveraging information processing theory (IPT), the study provides new theoretical insights into the mechanisms through which SCQRM enhances QP via SCQI.

Foreign construction subsidiaries play an important role in the global construction market. How to establish and maintain long-term sustainable performance has attracted increased attention, but only a few studies have considered this issue. The purpose of this study is to explore the relationship between autonomy and the sustainable performance of subsidiaries and to provide support for their management control modes.

From an institutional logics perspective, empirical research using a questionnaire survey was conducted following the methodological framework of this study. Relevant data were collected from 106 experienced managers of foreign construction subsidiaries, and the hypotheses were tested through a regression model.

The results show that foreign construction subsidiaries have a high degree of operational autonomy, which tends to strengthen their embeddedness in the host country and improve their sustainable performance. However, the role of strategic autonomy is not found to be significant. The moderation results show that the positive impact between operational autonomy and external network embeddedness is strengthened by institutional distance. Institutional distance has no significant moderating impact on the relationship between strategic autonomy and external network embeddedness, respectively.

Geographical limitations may exist as the survey is focused on the Chinese construction foreign subsidiaries. However, based on an institutional logics perspective, this study discusses the management control mode of foreign subsidiaries, which enriches the antecedents of sustainable performance and can provide an in-depth explanation of the effects of the organizational strategies of multinational construction enterprises.

This study provides beneficial information for the sustainable performance of foreign construction subsidiaries. It will provide detailed guidance to managers located in different institutional environments on optimally promoting the sustainable development of subsidiaries.

This study identifies autonomy as an important antecedent, making it one of the first studies investigating autonomy on the sustainable performance of foreign construction subsidiaries. The findings of this study can contribute to the construction subsidiaries' sustainable performance literature and provide novel, comprehensive knowledge for academia and practice.

An S-curve is an essential project-management tool. However, it is difficult to adjust S-curve to deal with a force majeure event. The present study develops four valuable adjustment approaches, designed to achieve a compromise between the views of the client and contractor. These can be used to control projects after a force majeure event.

The present study develops four adjustment approaches, which can be used to achieve a compromise between the views of the client and those of the contractor when controlling projects after a force majeure. To determine the S-curves during a force majeure event, two approaches can be selected: BCWS (budgeted cost of scheduled work)-base approach, or BCWP (budgeted cost of work performed)-base approach. To determine the rest of S-curves after a force majeure event, two approaches can be considered: maintaining the original curve of the remaining BCWS, or allocating the original curve of the remaining BCWS. Based on the validation of three empirical cases, drawn from a professional project-management website, this study confirms the feasibility of four proposed empirical approaches and a selection procedure for S-curve adjustment.

The S-curve-adjustment approaches presented here can be used to deal with cases that are ahead of, on and behind schedule. Using the proposed approaches and selection procedure, contractors can easily revise S-curves and control projects more effectively. To deal with a force majeure event, such as COVID-19, they are strongly advised to adopt the approaches labeled SA-A1 (to adjust the S-curve based on the extension ratio multiplied by the difference in progress during the force majeure) and SA-B1 (to maintain the original curve of the remaining BCWS) for the A/E and E/F curves, respectively.

The proposed approaches can be used in cases of continuous construction during force majeure events. If construction work is totally suspended during such an event, it will be necessary to fine-tune the proposed approaches.

Previous studies have used case-oriented or mathematical-simulation approaches to forecast S-curves. The present study proposes simple approaches that allow the client and contractor to adjust the S-curve easily after a force majeure event. These approaches can be used to adjust work and project-completion targets within an extended duration. Selecting the right S-curve adjustment approach can help to control the remainder of the project, reducing the possibility of delay claims.

As an ancient art form, embroidery has strong practicality and artistic value. However, current embroidery style migration models produce images with unclear textures and a lack of stitch detail. So, in this paper, we propose a cyclic consistent embroidery style migration network with texture constraints, which is called Texture Cycle GAN (TCGAN).

The model is based on the existing Cycle GAN network with an additional texture module. This texture module is implemented using a pre-trained Markovian adversarial network to synthesize embroidery texture features. The overall algorithm consists of two generative adversarial networks (for style migration) and the Markovian adversarial network (for texture synthesis).

Qualitative and quantitative experiments show that, compared with the existing convolutional neural network style transfer algorithm, the introduction of the texture-constrained embroidery style transfer model TCGAN can effectively learn the characteristics of style images, generate digital embroidery works with clear texture and natural stitches and achieve more realistic embroidery simulation effects.

By improving the algorithm for image style migration and designing a reasonable loss function, the generated embroidery patterns are made more detailed, which shows that the model can improve the realism of embroidery style simulation and help to improve the standard of embroidery craftsmanship, thus promoting the development of the embroidery industry.

With the accumulation of theoretical research and practical experience in the field of garment production research, it is imperative to methodically analyze and reflect on the achievements that have been made. This review aims to systematically map the academic landscape of research articles on garment production, elucidate the evolutionary trajectory of this discipline, identify emerging research frontiers and provide insights into its prospects.

Based on the Web of Science core database, 307 research articles were systematically analyzed by CiteSpace software. The study employed bibliometric and thematic analyses to offer in-depth insights into the dynamics and evolution of research on garment production.

Results reveal that keyword analysis emphasizes the significance of topics such as apparel assembly line, lean production, circular economy, fuzzy logic, global production networks, social sustainability and supply chain management in garment production research. Citation analysis demonstrates that articles related to environmental impact, supply chain management, production process and production technology constitute the knowledge base and core of garment production research. Eight principal research themes emerge: customized garment production, production technology, quality assurance, equipment, production lines, supply chain management, environmental impact and social and human impact. Future research hotspots will focus more on sustainable, intelligent and digital clothing production.

The findings systematically sort out the hotspots and trends in garment production, establish knowledge structures and display them through intuitive representations. The rich insights set the stage for the development of garment production and provide future guidance for theoretical research.

This study was aimed at clarifying the post-fire shear strength of self-drilling screws and the load-bearing capacity of single overlapped screwed connections using steel sheets and self-drilling screws. The self-drilling screws for shear tests were made of high-strength, martensitic-stainless and austenitic stainless-steel bars.

Shear loading tests were conducted on self-drilling screws to obtain basic information on post-fire shear strength. Tensile tests were conducted on the screwed connections to examine the transition of failure modes depending on the test temperature after experiencing the heating and cooling procedures.

The post-fire shear strengths and reduction factors of self-drilling screws of each steel grade were quantified. Furthermore, heated temperature-dependent sheet bearing failure, net sheet failure and screw shear failure modes were observed for the screwed connections.

The transition of the failure modes of the screwed connection could be explained using the equations of the post-fire shear strength proposed in this study. The basic experimental data required to evaluate the post-fire shear strength of screws were obtained.

Recent studies suggested that owner dynamic capabilities (ODCs) enabling public owners of megaprojects to activate, orchestrate and reorganize resources to uncertainties were beneficial to improving the project resilience of megaprojects. However, most of them pay insufficient attention to the specific context of long cycles and deep uncertainty in megaprojects, neglecting the causal complexity that different dimensions of ODCs and learning mechanisms interact with each other in terms of enhancing project resilience. Therefore, this study aims to systematically unveil the complex causality among ODCs, learning mechanisms and project resilience of megaprojects.

This study introduces a configurational perspective to explore how multi-dimensional ODCs combine to improve project resilience in megaprojects along with different organizational learning mechanisms and learning orientations. Based on 330 ODC events in 19 construction megaprojects, a multi-temporal crisp-set qualitative comparative analysis method is adopted to extract configurations of ODCs for project resilience improvement and unveil their evolution features over the whole megaproject lifecycle.

Six configurations are identified for improving project resilience in megaprojects, including cognition-dominant, cognition-deficient, transformation-dominant, innovation-driven, value-co-creation and exploitative-transformation configurations. The results also indicate that distinct megaproject stages appeal to corresponding ODC configurations for project resilience improvement under unique uncertain contexts.

This study not only makes theoretical contributions to the literature on dynamic capability and project resilience in the megaproject management field but also provides useful practical guidance for public owners of megaprojects to better utilize ODCs for project resilience improvement.