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Presents the results of a medical audit of the records of 199 children diagnosed as diabetic and admitted to Al‐Amiri Hospital, Kuwait. Uses the measurement of glycosylated haemoglobin (HbA1) to indicate the levels of control achieved. Finds that the degree of glycaemic control compares favourably with studies done in other hospitals, but unfavourably with specialized diabetic clinics. Proposes that glycaemic control could be improved by provision of the services of specialized support staff such as dietitian, educator, psychologist and health visitor.

The study aims to examine the impact of three types of supply chain integration (SCI) on supply chain flexibility (SCF), investigate the impact of SCF on supply chain performance (SCP) and analyse the indirect impact of SCI on SCP by considering the mediating role of SCF within the manufacturing sector of Jordan.

This study used a quantitative approach to validate the study model. An online self-completed questionnaire was used to gather data from 219 participants from managers in various Jordanian manufacturing firms. SmartPLS software was used to perform structural equation modelling to test the formulated hypotheses.

Based on the findings of the study, firms in Jordan's manufacturing sector would benefit from developing an integrative and flexible supply chain to boost SCP in the present volatile, uncertain, complex and speculative market. In addition, SCP was significantly influenced by investments in supply chain management practices related to SCI and SCF. Moreover, SCF significantly moderated the relationship between SCI and SCP. Thus, SCI and SCF assisted firms in reaching their highest potential performance through increased productivity, decreased expenses and increased satisfaction of their customers.

The study employed a cross-sectional design using SCF as a single construct. Future research should look into the specific type of SCFs that have an immense effect on SCP and how these types are affected by the three types of SCI. Furthermore, future research ought to employ probability sampling techniques to improve the generalizability of results or using a longitudinal data-collection design. Finally, additional research should be conducted to validate the findings of this study by replicating it in other specific industries or countries.

The study fills an identified gap based on previous studies by exploring the linkages between SCI, SCF and SCP in the context of manufacturing sector. Moreover, based on the relational view theory, the study proposed an assessment mechanism for SCP for firms based on the link between three types of SCI and SCF.

The purpose of this paper is to explore the application of smart systems and emerging technologies for disaster risk management (DRM) in Nepal. This delves into specific technologies, including advanced connection and communication technologies, AI, big data analytics, autonomous vehicles and advanced robotics, examining their capabilities and potential contributions to DRM. Further, it discusses the possibility of implementing these technologies in Nepal, considering the existing policies and regulations, as well as the challenges that need to be addressed for successful integration.

For this review journal series of search strategy for identifying relevant journals, the initial examination of results, a manual assessment, geographical refinement, establishment of criteria for the final selection, quality assessment and data management, along with a discussion of limitations. Before delving into the relevant literature within the field of research interest, the authors identified guiding keywords. Further, the authors refined the list by filtering for articles specifically related to Nepal, resulting in a final selection. The final selection of these 95 articles was based on their direct relevance to the research topics and their specific connection in the context of Nepal.

The way technology is used to reduce disaster risk has changed significantly in Nepal over the past few years. Every catastrophe has given us a chance to shift to something innovative. The use of new emerging technologies such as artificial intelligence (AI), big data analytics, autonomous vehicles, advanced robotics and advanced connection and communication technologies are increasing for the purpose of generating risk knowledge, reducing disaster risk and saving the loss of lives and properties. The authors conclude that the successful implementation of smart systems and emerging technologies for disaster risk management in Nepal has the potential to significantly improve the country's resilience and minimize the impact of future disasters. By leveraging data-driven decision-making, enhanced connectivity and automation, Nepal can build a more proactive, adaptive and efficient disaster management ecosystem.

Studies on the application of smart systems in Nepal are limited and scattered across different database. This work collects together such literatures to understand the current status of the application of the smart system and technologies and highlights the challenges and way forward for effective disaster risk management in Nepal. Therefore, this work is an original one and adds value to the existing literatures.

Considering both the current opportunities of the Internet of things (IoT) and aviation, as well as the potential opportunities they may offer for the future, it is understood that they are among the important issues that need to be examined in the literature. This study aims to provide an idea by conducting bibliometric and visualization analyses of the current trends and development opportunities of IoT and aviation.

In this study, descriptive and bibliometric analyses within the framework of co-author, co-citation, bibliographic coupling, and keyword co-occurrence analysis were carried out for publications found to be published between 2007 and 2023 in the Web of Science (WoS) database related to IoT and aviation. VOSviewer (ver. 1.6.18) program and the Biblioshiny application were used to create bibliometric networks and provide visualization.

As a result of some descriptive and visualization analyses, the current trend of publications on IoT and aviation and future publication opportunities has been revealed. It has been understood that the subject of IoT and aviation is one of the subjects whose number of publications has increased in recent years and has not yet fully matured in terms of the number of publications and has the potential to make new publications.

In this study, bibliometric analysis of IoT and aviation, which could not be found examined before in the literature, and the creation of existing bibliometric networks by visualizing were carried out.

The purpose of this paper is to analyze the factors affecting the implementation of unmanned aerial vehicles (UAVs) in Indian humanitarian logistics. The factors listed are significant as they are hindering the incorporation of this new technology into the humanitarian supply chain, thus creating inefficiencies in the humanitarian logistics sector.

This research is approached using a two-step process. In the first step, the particular barriers for UAV implementation are determined by a literature review and consultation with experts. Next, the proposed framework, a combination of grey-decision-making trial and evaluation laboratory (grey-DEMATEL) and analytic network process (ANP), i.e. g-DANP, is used to determine a hierarchical structure for the factors and sub-factors. The grey hypothesis provides sufficient analytical data to an otherwise lacking DEMATEL technique. Also, the use of ANP gives weightage to each factor, allowing us to categorize their importance further.

This study reveals that factors like expensive commercial solutions and high transport energy costs are significant factors of the “cause” group, whereas the uncertain cost for maintenance and repair and deficiency of high-level computing are crucial factors of the “effect” category. The mentioned factors, along with many others, are the main reasons for the delayed incorporation of UAVs in humanitarian logistics.

The results of this study present insights for humanitarian supply chain managers, UAV producers and policymakers. Those in the humanitarian logistics sector can use the findings of this study to plan for various challenges faced as they try and implement UAVs in their supply chain.

This research is unique as it analyses the general factors hindering the implementation of UAVs in Indian humanitarian logistics. The study enriches existing literature by providing an analytic approach to determine the weightage of various interrelations between the identified factors affecting UAV incorporation in the humanitarian supply chain.

As the Hashemite Kingdom of Jordan celebrates its first centenary, this paper presents a critical reading of the development of architecture in the Kingdom reflecting the transformation of national identity.

The paper achieves this aim by performing an analytical diachronic survey of the main architectural styles and trends that emerged in Jordan and links the architectural styles and trends to four main historical periods that characterize the national temporal trajectory, supported by examples of buildings, projects and architects that represent each period.

The results show the impacts of different forms of architectural modernism on local practice and explore attempts to create a national architectural identity that range in their ideological drive from Pan-Arabism to Jordanian localism.

The research adds to the discourse on Arab cities and architecture and shows the development of architectural trends in an Arab Muslim country, focusing on the interaction of architectural modernism with local variables. The research aims to supplement literature on Arab architecture with a critical and nuanced historical account of Jordanian architecture in the English language to serve a global audience.

The aim of this study is to evaluate the quality of life of patients with different types of cancer in Jordan and its relationship with nursing care.

An exploratory approach utilizing cross‐sectional design with a structured questionnaire, administered to patients face‐to‐face, with specific questions about demographic and health status and two standardized scales: Patients Satisfaction with Nursing Scale (NSNS), and Function of Living Index‐Cancer (FLIC) were used. The study sample comprised 156 patients with cancer who were hospitalized in two governmental hospitals in Amman and Karak and two university‐based hospitals in Amman and Irbid cities.

The sample of the study showed that the types of cancer distribution were close to the cancer distribution among the Jordanian population. The median age of the sample was 47 years with a range between 18 years and 80 years. Nearly two‐thirds of the participants perceived their current health as good. All variables in the regression equation (satisfaction with nursing care, health perception now, health in comparison with one year ago, and gender) have significantly explained a considerable amount of variance in the cancer patients' quality of life.

Using a quantitative approach alone to measure QoL is not sufficient to reflect all dimensions of a subjective phenomenon such as QoL. The study did not differentiate between patients according to severity of cancer and type of treatment.

Providing proper nursing care improves cancer patients' quality of life.

This study stemmed from: the assessing and identifying predictors of quality of life (QoL) as perceived by patients with cancer and not by the care‐providers; and highlighting the positive effect of nursing care on QoL for cancer patients.