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This paper aims to provide a general overview of the international Tsunami warning system mandated by the United Nations, particularly on cataloging past studies and a strategic focus in the Indian Ocean, particularly on the Bay of Bengal region.

Present research assimilates the secondary non-classified data on the Tsunami warning system installed in the Indian Ocean. Qualitative review and exploratory research methodology have been followed to provide a holistic profile of the Tsunami rarly warning system (TEWS) and its role in coastal resilience.

The study finds the need for strategic focus to expand and interlink regional early warning cooperation mechanisms and partnerships to enhance capacities through cooperation and international assistance and mobilize resources necessary to maintain the TEWS in the Indian Ocean region. The enhanced capacity of the TEWS certainly improves the resilience of Indian Ocean coastal communities and infrastructures.

The study is original research and useful for policy planning and regional cooperation on data interlinkages for effective TEWS in the Indian Ocean region.

This study aims to investigate the strategic priorities of green building projects and analyze energy consumption alternatives in green residence projects using two innovative methods.

This study uses two methods, decision-making trial and evaluation laboratory (DEMATEL) to measure strategic priorities and golden-cut quantum spherical fuzzy technique for order preference by similarity to the ideal solution (TOPSIS) to analyze energy consumption alternatives.

The study reveals that sustainability and atmosphere are the most significant factors in determining the priorities of green residence projects, whereas innovation has a limited impact on addressing environmental challenges in the building sector. The ranking of energy use alternatives shows that sustainability issues and atmosphere quality of space heating and cooking are the top priorities, whereas other factors like white goods, water heating, lighting and space cooling are ranked lower.

This paper offers a significant contribution to the understanding of green buildings by introducing innovative methodological approaches. Theoretically, it uses the DEMATEL to enhance traditional analytical frameworks, marking a novel effort in understanding green residence projects. In addition, the golden-cut quantum spherical fuzzy TOPSIS method is introduced, offering a comprehensive decision-making framework for green projects, considering factors like energy consumption and economic feasibility. This combination of methodologies provides a holistic evaluation, emphasizing sustainability in green building construction. This study reveals untapped potential for environmental sustainability and energy efficiency, enriching the existing knowledge base.

The purpose of this paper is geared towards the capture and analysis of network traffic using an array ofmachine learning (ML) and deep learning (DL) techniques to classify network traffic into different classes and predict network traffic parameters.

The classifier models include k-nearest neighbour (KNN), multilayer perceptron (MLP) and support vector machine (SVM), while the regression models studied are multiple linear regression (MLR) as well as MLP. The analytics were performed on both a local server and a servlet hosted on the international business machines cloud. Moreover, the local server could aggregate data from multiple devices on the network and perform collaborative ML to predict network parameters. With optimised hyperparameters, analytical models were incorporated in the cloud hosted Java servlets that operate on a client–server basis where the back-end communicates with Cloudant databases.

Regarding classification, it was found that KNN performs significantly better than MLP and SVM with a comparative precision gain of approximately 7%, when classifying both Wi-Fi and long term evolution (LTE) traffic.

Collaborative regression models using traffic collected from two devices were experimented and resulted in an increased average accuracy of 0.50% for all variables, with a multivariate MLP model.

Gripped by the COVID-19 pandemic, the airline industry has faced many restrictions. Based on the determining factor of repurchase intention, this research paper addresses the roles of brand engagement (BE) and consumer trust during the pandemic.

A number of 439 out of 500 questionnaires, which were distributed among the Iranian airlines' customers, were completed and returned (an 87% response rate). SmartPLS 3 was used to carry out the confirmatory factor analysis (CFA) and exploratory factor analysis (EFA) in order to validate the research hypotheses.

The results show that during the COVID-19 pandemic, BE had a significant effect on customer purchase intention. In addition, BE boosted customer trust and thereby increased repurchase intention. Perceived risks of COVID-19 moderated these relationships. The findings also show that airline customers are highly sensitive to various perceived risks and were especially so during the COVID-19 pandemic. These perceived risks have major impacts on customers' intention to reuse the services of airline companies. High levels of perceived risk decrease customer trust, BE and repurchase intention rates, and vice versa.

This paper provides authorities and decision-makers of the air transport industry with several practical recommendations based on the research findings. As the results confirmed, there is a worthwhile relationship between BE and customer trust; regarding the both direct and indirect benefits of customer trust for for-profit firms and the huge importance of trust in creating competitive advantages, different airline companies need to implement various strategies to engage customers with their brand names, and thereby institutionalize trust in their customers' minds during the pandemic. Since customer trust was also found to improve repurchase intention rates significantly, authorities of the airline industry must take actions to reduce feelings of mistrust and risk among consumers and increase customer trust during COVID-19.

This paper is the first to explore the effect of BE on airline customers' repurchase intentions during the COVID-19 pandemic. It has produced practical suggestions to employees and activists of the air transport industry regarding the use of BE as a tool to restore customer trust during and after the COVID-19 epidemic. This research focuses on the airline industry, which is particularly interesting given the industry's intensely competitive environment and the dramatic effect of COVID-19 on the industry.

Knife crime and serious violent crime (SVC) among youth has been growing at an alarming rate in the UK (Harding and Allen, 2021). Community and school-based intervention and prevention services to tackle knife crime are being developed with some evaluation; however, these are independent and of varied quality and rigour. Therefore, the purpose of this study is to record the approaches being developed and synthesise existing evidence of the impact and effectiveness of programmes to reduce knife crime. In addition, the complex factors contributing to knife crime and SVC are discussed.

A systematic approach was used to conduct this knife crime intervention evidence review using two search engines and four databases. Inclusion and exclusion criteria were applied to ensure focus and relevance. The results of searches and decisions by the research team were recorded at each stage using Preferred Reporting Items for systematic reviews and meta-analyses (PRISMA).

Some evidence underpins the development of services to reduce knife crime. Much of the evidence comes from government funded project reports, intervention and prevention services reports, with few studies evaluating the efficacy of intervention programmes at present. Some studies that measured immediate impact in line with the programme’s aims were found and demonstrated positive results.

This systematic review specifically synthesised the evidence and data derived from knife crime and weapon carrying interventions and preventions, integrating both grey and published literature, with a novel discussion that highlights the importance of outcome evaluations and issues with measuring the success of individual level interventions and their contributions to the overall reduction of violence.

According to the Ministry of Tourism and Creative Economy, there are 7,275 indigenous tourism enterprises in Indonesia. However, only 0.5% of these are certified as a sustainable tourism village. One of them is the Karangrejo village in Borobudur, Indonesia. This village is able to sustain their enterprise, which is a unique and rare context. This study aims to address this gap by examining the sense of place value created from the collaboration between actors, mapping the actors and their resources who have crucial roles in indigenous tourism enterprise, and examining the relations between actors, mapping the characteristics and efforts made by the indigenous tourism enterprise. The novelty of this research is the unique context that it takes place, and the use of comprehensive theoretical perspectives combining architecture, sociological social psychology and marketing/business theories in tourism context, which is uncommon for research in this area.

Participants in this study were 17 individuals, comprising Village Chief, accompanying state-owned enterprises, tourists, owners of micro, small and medium enterprises, village economic center manager and village-owned enterprises manager. Data were collected from interviews and field recordings using purposive sampling technique. The study design was a case study. The data were coded in two steps: first cycle and second cycle coding. Member checking with research participants was conducted to ensure data credibility.

This study revealed several novel findings. First, sense of place value was not merely perceived as material and nonmaterial components, but also as networks between actors that were involved in creating such components within (value) exchange framework. Second, the actors involved in the exchange were provider actor, external supporter actor, internal supporter actor, collaborator actor and consumer actor. Each of these actors owned one or a combination of material and nonmaterial values that are exchangeable. Mapping of the actors involved was discussed using a combined perspective of consumer-centric and balanced network. Third, exchange relations that occurred between actors could be balanced or imbalanced, depending on the amount of resource owned by each actor. Nonetheless, imbalanced relations because of discrepancies in the value contributions could still have positive impact because it was motivated by the intention to help others. Fourth, this study identified the importance of having characteristics as resource integrator/gatherer for indigenous tourism enterprise (provider actor) to ensure the economic sustainability of their business.

This study was conducted during the COVID-19 pandemic, where governments imposed strict travel restrictions. Consequently, data from tourists were limited in particular, the lack of perspectives from international tourists. During the data collection, the government were still limiting international travelers to visit the country, hence only domestic tourists were able to visit. The perspectives of international tourists would have added valuable data. Because of pandemic, the data collection process was initially conducted online, which was then followed by in-person data collection. Online data collection is common in research; however, in-person data collection would have been more preferred, where possible, so that the researchers could directly observe the situation in context. Future research could be conducted after the pandemic ends. Furthermore, findings of this research asserted the importance of actors’ motives, situations, quality of the values and relational attributes, but had not discussed these in detail, especially from the perspective of each actor. Future research could address this limitation.

Enhancing material and nonmaterial sense of place value would involve multiple actors. Therefore, mapping of the resources owned by these actors as well as their roles is critical. To create sense of place value, synergy between actors is essential and could not be achieved by a single actor. Every actor is influenced by motives and circumstances when interacting with the other actor. Awareness of such motives and circumstances where the exchange takes place is necessary, to ensure that the cultivated relationship aligns with the goals and expectations. As exchange relations could be balanced or imbalanced, every actor also needs to be aware of their position and continuously evaluate it to avoid being constantly in a powerless position. Indigenous tourism enterprise could not singlehandedly provide every resource needed. Therefore, developing a character as a gatherer/resource integrator becomes crucial to gain access to all necessary resources. Currently, there are no tools available for identifying actors, resources and relational attributes. This could be a potential avenue for academics in this area. Further, the government should identify the best practice from the successful indigenous tourism enterprises, not only giving recognition awards or certifications to these enterprises.

Findings from this study have several contributions; among others, it discussed sense of place value of indigenous tourism enterprise more comprehensively, as the essential actors who exchange resources were identified. This study also underlined positive power imbalance, which had been generally seen as a negative dynamic. Moreover, this study highlighted that indigenous people, despite living by communal value (non-transactional) in their daily lives, would need to engage in transactional relations and develop resource integrator characteristics to maintain tourism enterprise. Indigenous people have often been seen from their communal side, while their transactional (non-communal) side has been rarely seen.