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This paper aims to focus on the research progress of intelligent self-healing anti-corrosion coatings in the aviation field in the past few years. The paper provides certain literature review supports and development direction suggestions for future research on intelligent self-healing coatings in aviation.

This mini-review uses a systematic literature review process to provide a comprehensive and up-to-date review of intelligent self-healing anti-corrosion coatings that have been researched and applied in the field of aviation in recent years. In total, 64 articles published in journals in this field in the last few years were analysed in this paper.

The authors conclude that the incorporation of multiple external stimulus-response mechanisms makes the coatings smarter in addition to their original self-healing corrosion protection function. In the future, further research is still needed in the research and development of new coating materials, the synergistic release of multiple self-healing mechanisms, coating preparation technology and corrosion monitoring technology.

To the best of the authors’ knowledge, this is one of the few systematic literature reviews on intelligent self-healing anti-corrosion coatings in aviation. The authors provide a comprehensive overview of the topical issues of such coatings and present their views and opinions by discussing the opportunities and challenges that self-healing coatings will face in future development.

This study aims to explore the factors affecting sustainable workplace remodeling in Saudi Arabia.

A literature review was conducted, resulting in 30 factors grouped into five categories. A questionnaire was designed and tested, and stakeholders including architects/engineers (A/Es), contractors and facilities managers were surveyed to evaluate the importance of these factors. The responses were analyzed to determine the relative importance index (RII), importance rating (IR) and ranking of each factor.

All 30 factors were evaluated as “Extremely Important” and “Very Important” in the collective assessment conducted by the three stakeholder categories. The findings revealed that the key factors, unanimously highlighted by all groups, include “The highest-ranking factors Constrained budget for the project”, “Availability of an experienced contractor in the remodeling field”, “Compliance with safety codes and standards”, “Underestimation of project complexity” and “Availability of specifications”.

The study presents an approach for assessing stakeholder consensus, using the RII and Spearman’s rank correlation coefficient to analyze the results. This approach aims to improve understanding of how various stakeholders influence and perceive sustainability in construction projects.

The study offers guidance for various stakeholders, to integrate sustainable practices into their operations. It emphasizes communication, implementing cost-efficient designs and ensuring compliance with sustainability standards to enhance the longevity and efficiency of remodeled workplaces.

The study adds to the current knowledge base by providing insights into sustainable practices of workplace remodeling specific to the context of Saudi Arabia.

Medellín, Colombia, experienced a remarkable social transformation in just two decades, leaving behind its troubled past of violence and insecurity. This study aims to identify the key actors and initiatives contributing to this transformation, considering cultural and social values shaping residents’ and visitors’ perceptions and determining the potential for the city’s brand. The research uses identity-based place branding theory and Delphi rounds to compare expert and promoter perspectives through surveys and tourist insights. The findings reveal recognising having a transformation in mind having offers guidelines for residents to propose tourism initiatives, aiding strategic city promotion and brand-building in collaboration with various organisations.

This paper aims to highlight the factors affecting health and safety (H&S) and the SMART Technologies (ST) used to mitigate them in the construction industry through a range of selected papers to encourage readers and potential audiences to consider the need for intelligent technologies to minimize the risks of injuries, illnesses and severe harm in the construction industry.

This paper adopts a double systematic literature review (SLR) to analyse studies investigating the factors affecting H&S and the ST in the construction industry using databases such as Google Scholar, Scopus, Science Direct and Emerald Insight publication.

The SLR identified “fatal or focus five factors” that include objects Fall from heights (FFH) and trapped between objects; Falls, Trips and slips (FTS); Machinery/Equipment Malfunction and Moving Equipment; Pollutants: Chemicals, Airborne Dust, Asbestos; and Electrocution. The ST includes Safety Boots/SMART Glasses/SMART Helmet/SMART Vests/SMART PPE/SMART Watch, Mobile Apps, Building Information Modelling (BIM), Virtual Reality/Augmented Reality (VR/AR), Drones/Unmanned Aerial Vehicles and Wearable Technology/Mobile Sensors help mitigate the risk posed by “Fatal five”. However, other factors within the scope of ST, such as Weather Conditions, Vibrations, Violence, Disease and illness, Fire and Explosion and Over Exertion, are yet to be adopted in the field.

SLR methodology limitations of not obtaining the most updated field knowledge are critical and are offset by choosing 72% of H&S and 92% of SM review literature post-2017. Limitations to capturing articles because of the restriction of database access: only English language search and journals that are not a part of the databases selected are acknowledged. However, key database search that recognizes rigorous peer-reviewed articles offset these limitations. The researcher’s Bias is acknowledged.

This paper unravels the construction H&S factors and their interlinks with ST, which would aid industry understanding and focus on mitigating associated risks. The paper highlights the Fatal five and trivial 15, which would help better understand the causes of the H&S risks. Further, the paper discusses ST’s connectivity, which would aid the organization’s overall H&S management. The practical and theoretical implications include a better understanding of all factors that affect H&S and ST available to help mitigate concerns. The operating managers could use the ST to reduce H&S risks at every construction process stage. This paper on H&S and ST and relationships can theorize that the construction industry is more likely to identify clear root causes of H&S and ST usage than previously. The theoretical implications include enhanced understanding for academics on H&S factors, ST and gaps in ST concerning H&S, which can be expanded to provide new insights into existing knowledge.

This paper highlights all factors affecting H&S and ST that help mitigate associated risks and identifies the “Fatal five” factors. The paper is the first to highlight the factors affecting H&S combined with ST in use and their interactions. The paper also identified factors within the ST scope that are yet to be explored.

This study explores the evolving role of preprint servers within the scholarly communication system, focusing on their relationship with peer-reviewed journals. As preprints become more common, questioning and understanding their future role is critical for maintaining a healthy scholarly communication ecosystem. By examining the values, concerns and goals of preprint server managers, this study highlights the significant influence these individuals have in shaping the future of preprints.

A qualitative, interview-based approach was used to gather insights from preprint server managers on their roles, challenges and visions for the future of preprints within the broader scholarly communication system.

The findings point to a lack of consensus on how preprint servers and journals should interact and to diverging views on how the certification and curation functions are best performed and by whom. Concerns about credibility and long-term financial sustainability are increasingly driving independent and community-run preprint servers to align more closely with journals, potentially undermining the disruptive and emancipatory potential of preprints.

This study is the first to examine the relationship between preprints and journals from the perspective of preprint server managers in the later stages of the COVID-19 pandemic. It sheds light on how preprint servers are navigating external pressures and market dynamics, how they are seeking to establish credibility and trust, and how, in doing so, they are reshaping the core functions of scholarly communication.

This chapter highlights the importance of combining multiple data sources to gain a complete understanding of the marketing environment. Marketing campaigns can be successful only by data-driven decision-making. We need to include multiple data sources so that it may furnish a complete and distinctive view of market dynamics. This chapter begins by probing into the changing landscape of marketing. It reveals that traditional tactics are being replaced by urban, technology-based strategies. It becomes progressively important for organizations to integrate different data sources along with harnessing the power of big data, artificial intelligence (AI), and advanced analytics. It involves the smooth and flawless blending of different datasets to obtain important connections and patterns. Simple data collection and storage will not help. This chapter emphasizes the need for an all-embracing strategy. Since it has a transformative impact on marketing results, it solves the challenges caused by data storage systems. It also provides real-world examples of integrated solutions. It deliberates regulatory issues that must be considered when integrating different data sources. Any marketing data ecosystem needs integration of the internal and external data sources in search of a better understanding of the market. Such can help businesses find new opportunities and insights that, up until then, remain unknown. It may integrate different data types to get the most from marketing strategies in place. If there is integration of data, then decisions can be made with knowledge and purpose.

The objective of this study is to accurately predict the cost of green buildings to provide quantifiable criteria for investment decisions from investors.

This study proposes a hybrid prediction model ML-based for cost prediction of GBPs and obtains prediction parameters (PPs) associated with project characteristics through data mining (DM) techniques. The model integrates a principal component analysis (PCA) method to perform parameter dimensionality reduction (PDR) on a large number of raw variables to provide independent characteristic terms. Moreover, the support vector machine (SVM) algorithm is improved to optimize the prediction results and integrated with parameter dimensionality reduction and cost prediction.

The prediction results show that the mean absolute and relative errors of the hybrid prediction model proposed in this study are equal to 39.78 and 0.02, respectively, which are much lower than those of the traditional SVM model and MRA prediction model. Moreover, the hybrid prediction model with parameter dimensionality reduction also achieved better prediction accuracy (R² = 0.319) and superior prediction accuracy for different cost terms.

Theoretically, the hybrid prediction model developed in this study can reliably predict the cost while accurately capturing the characteristics of GBPs, which is a bold attempt at a comprehensive approach. Practically, this study provides developers with a new ML-based prediction model that is capable of capturing the costs of projects with ambiguous definitions and complex characteristics.

Food tourism, integral to the travel experience, reflects deep cultural and traditional identities, fostering local development and heritage preservation. This chapter explores the evolving characteristics of the post-COVID-19 food tourist, drawing on interviews with food tourism travellers to understand the pandemic’s impact on travellers’ preferences and the role of food tourism in promoting social sustainability and justice in destination communities. Through food tourists’ narratives, this study reveals a growing emphasis on authentic, regional culinary experiences and their significance in advancing social sustainability. The findings enable the identification of the post-pandemic food tourist, who is driven by a dedication to health, sustainability, and cultural education.

This paper aims to identify future scenarios and convergent technologies regarding the plantain chain in the region of Quindío, Colombia. It proposes the definition of key variables, convergent technologies, future objectives, future scenarios and hypotheses based on stakeholders’ and experts’ opinions collected through questionnaires, surveys and workshops.

The present analysis seeks to identify and anticipate the future routes for the improvement of scientific, technological, innovative and skills management of the plantain agroindustrial chain in the region of Quindío, Colombia using the foresight-by-scenarios and, Delphi methodologies and finally validating the results with artificial intelligence code and natural language processing.

After the analysis of 100 initial variables, the results suggested the identification of five key variables defined by the stakeholders and matrix-based multiplication applied to a classification (MICMAC) analysis such as “weather,” “financing and economy,” “grouping and associativity,” “crop” and “territorial planning and raw material.” Moreover, the definition of four future objectives along with the matrix of alliances and conflicts, tactics, objectives and recommendations (MACTOR) analysis suggested scenarios according to the probability. The most possible, probable and desirable scenario, was the cooccurrence of the five proposed hypotheses. Furthermore, the Delphi analysis allowed us to define nine subgroups from 116 subtopics including: “plantain varieties,” “plantain agroindustry,” “waste use” and “crop,” among others.

Due to the specificity of the analyzed agro-chain, the study only encompasses the plantain and banana sectors. However, the implications are related to the generation of projects in the selected technologies.

This paper includes implications for the development of prospective studies combining two or more different methodologies such as foresight-by-scenarios and Delphi method at the same time and further comparing the results with artificial intelligence analysis.

The generation of public policies in the sector and input for governmental analysis and tools for decision-making with a well-grounded, systematic and rational point of view.

This work describes for the first time, the implementation of the Delphi method regarding an important agroindustry sector such as plantain and banana prospective study. Furthermore, it explains the alignment of two methodologies; foresight-by-scenarios and the Delphi method related to the sectorial approaches, and convergent technologies and innovations, respectively. Moreover, a complementary bibliometric analysis with global terms related to the plantain or banana agroindustry was also included. In a novel way, we also applied an artificial intelligence code using Python software to contrast the results previously obtained in the foresight-by-scenarios method.

The purpose of this paper is to investigate the existence, uniqueness and stability of solutions to a class of Riemann–Liouville fractional differential equations with anti-periodic boundary conditions of variable order (R-LFDEAPBCVO). The study utilizes standard fixed point theorems (FiPoTh) to establish the existence and uniqueness of solutions. Additionally, the Ulam-Hyers-Rassias (Ul-HyRa) stability of the considered problem is examined. The obtained results are supported by an illustrative example. This research contributes to the understanding of fractional differential equations with variable order and anti-periodic boundary conditions, providing valuable insights for further studies in this field.

This paper (1) defines the Riemann–Liouville fractional differential equations with anti-periodic boundary conditions of variable order (R-LFDEAPBCVO); (2) discusses the existence and uniqueness of solutions to these equations using standard FiPoTh; (3) investigates the stability of the considered problem using the Ul-HyRa stability concept (Ul-HyRa); (4) provides a detailed explanation of the design and methodology used to obtain the results and (5) supports the obtained results with a relevant example.

The authors confirm that no funds, grants or any other form of financial support were received during the preparation of this manuscript.

The originality/value of our paper lies in its contribution to the field of fractional differential equations. Specifically, we address the existence, uniqueness and stability of solutions to a class of Riemann–Liouville fractional differential equations with anti-periodic boundary conditions of variable order. By utilizing standard FiPoTh and investigating Ul-HyRa stability, we provide novel insights into this problem. The results obtained are supported by an example, further enhancing the credibility and applicability of your findings. Overall, our paper adds to the existing knowledge and understanding of Riemann–Liouville fractional differential equations with anti-periodic boundary conditions, making it valuable to the scientific community.