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This study aims to develop a hierarchical model that uncovers the relationships between challenges confronting Africa's organ transplant supply chain systems.

Eleven challenges (variables) were identified after a comprehensive review of the existing literature. The contextual interactions among these variables were analysed from the perspectives of health-care stakeholders in two sub-Saharan Africa (SSA) countries (Nigeria and Uganda), using Delphi-interpretive structural modelling-cross-impact matrix multiplication applied to classification (MICMAC) techniques.

The findings reveal that weak regulatory frameworks, insufficient information systems and a lack of necessary skills make it challenging for critical actors to perform the tasks effectively. The interaction effects of these challenges weaken organ supply chains and make it less efficient, giving rise to negative externalities such as black markets for donated organs and organ tourism/trafficking.

This paper establishes a solid foundation for a critical topic that could significantly impact human health and life once the government or non-profit ecosystem matures. The MICMAC analysis in this paper provides a methodological approach for future studies wishing to further develop the organ supply chain structural models.

The study provides valuable insights for experts and policymakers on where to prioritise efforts in designing interventions to strengthen organ transplantation supply chains in developing countries.

This study is one of the first to empirically examine the challenges of organ transplant supply chains from an SSA perspective, including theoretically grounded explanations from data collected in two developing countries.

The purpose of this study is to describe the design and validation of a three-dimensional (3D)-printed phantom of a uterus to support the development of uterine balloon tamponade devices conceived to stop post-partum haemorrhages (PPHs).

The phantom 3D model is generated by analysing the main requirements for validating uterine balloon tamponade devices. A modular approach is implemented to guarantee that the phantom allows testing these devices under multiple working conditions. Once finalised the design, the phantom effectiveness is validated experimentally.

The modular phantom allows performing the required measurements for testing the performance of devices designed to stop PPH.

PPH is the leading obstetric cause of maternal death worldwide, mainly in low- and middle-income countries. The proposed phantom could speed up and optimise the design and validation of devices for PPH treatment, reducing the maternal mortality ratio.

To the best of the authors’ knowledge, the 3D-printed phantom represents the first example of a modular, flexible and transparent uterus model. It can be used to validate and perform usability tests of medical devices.

The present paper aims at defining and analyzing the techniques, strategies, and challenges in translating the euphemism of two English interpretations of the Holy Quran. The first is the translation of Abdullah Yusuf Ali (14 April 1872–10 December 1953), whereas the second is the translation of Arthur John Arberry (12 May 1905–2 October 1969).

The study adopts a qualitative approach that is introduced through a theoretical framework thatdiscusses and elaborates on the term “euphemism”. After that, the study uses analytical approaches in order to define and analyze the techniques and strategies in translating the euphemism of two English interpretations of the Holy Quran.

The results elaborate on the techniques used by the two translators to translate the euphemisms of two English interpretations of the Holy Quran.

The reason for selecting these two translations is to find the different techniques and approaches of both Eastern and Western translators. The main analysis of the study is based on Newmark’s perceptions about the techniques and strategies of translation.

This study aims to empirically analyze the impact of technological innovation on the quantity and quality of employment in the hospitality industry.

Using the data of 30 provinces in China from 2010 to 2020, this paper makes an empirical analysis through the fixed effect model.

The results show that process innovation has a significant positive impact on employment quantity, while product innovation has a significant negative impact on employment quantity. The creative effect of process innovation and the substitution effect of product innovation offset each other, so in the long run, the impact of technological innovation on employment quantity is not significant. However, technological innovation has significantly improved the employment quality of the hospitality industry.

Because technological innovation has replaced part of the labor force, hospitality could guide the labor force in a positive direction. To promote innovation and retain talents, hotels should train employees’ digital thinking and attract high-skilled talents.

This research is unique in using process innovation and product innovation as the main measurement indicators of technological innovation, unlike previous studies that often relied on technological progress to conclude.

The purpose of this paper is to design and manufacture an intelligent 3D printed sensor to monitor the re-occurrence of diaphragmatic hernia (DH; after surgery) in bovines as an Internet of Things (IOT)-based solution.

The approach used in this study is based on a bibliographic analysis for the re-occurrence of DH in the bovine after surgery. Using SolidWorks and ANSYS, the computer-aided design model of the implant was 3D printed based on literature and discussions on surgical techniques with a veterinarian. To ensure the error-proof design, load test and strain–stress rate analyses with boundary distortion have been carried out for the implant sub-assembly.

An innovative IOT-based additive manufacturing solution has been presented for the construction of a mesh-type sensor (for the health monitoring of bovine after surgery).

An innovative mesh-type sensor has been fabricated by integration of metal and polymer 3D printing (comprising 17–4 precipitate hardened stainless steel and polyvinylidene fluoride-hydroxyapatite-chitosan) without sacrificing strength and specific absorption ratio value.

This photovoice study aims to explore how cleaners experience dirty and invisible work in the workplace.

This research is twofold. The authors first used the photovoice technique, which is one of the visual data collection techniques, to elaborate on the phenomena. The data were obtained with the participation of seven people (four women and three men) from building cleaners working at two public universities in Turkey. Three photographs were requested from each participant and selected nine photographs were described and analyzed among the collected 21 photographs. In addition to photovoice research, five interviews gave insight into the cleaners’ experiences in the second stage of the study.

This research revealed that participating cleaners experienced invisible dirty work and they felt undervalued, despised, treated as “second class/low-level people” and stigmatized.

This study recommends that university administrations defend the rights and dignity of cleaners at work, provide services to support their inclusion and increase staff awareness.

This study sheds light into an understudied area which is the building cleaners’ invisible and dirty work experiences and how that impacts their lives via a photovoice research.

The study seeks to analyze the influence of sensory experience on perceived environmental sustainability and word-of-mouth (WOM) of tourists and residents. The study also tests the moderation effect of satisfaction on the relationship between perceived environmental sustainability and WOM.

The study was conducted in Sikkim, a state in the northeastern part of India, which is regarded as the world's first organic state. The study was done in two phases. In the first phase, the data were collected from the tourists. And in the second phase, data were collected from the residents. A structured questionnaire was distributed to 700 tourists and residents in Sikkim. Out of these only 484 responses were considered for the study. Multivariate analyses were done using SPSS software and packages like Process Macro, and Amos to test the hypotheses.

The findings of the study indicated that sensory experience significantly influences perceived environmental sustainability and WOM. The study model fit with GFI = 0.955, CFI = 0.946 NFI = 0.929 and RMSEA = 0.07. The findings also indicate that satisfaction moderates the relation between sensory experience and word-of-mouth with a p value = 0.018.

The study was conducted in Sikkim and it used a convenience sampling method. Therefore, the study cannot be generalized.

An emphasis on building an organic brand image can positively impact the local community. A study of this kind will encourage the community to work toward sustainable development.

The study is unique as it explores the evaluation of destination environmental sustainability. And it is one of the first to test the impact of satisfaction in the relationship between the independent and dependent variables in the context of the tourism experience.

This study aims to assess each of the seven segments of the Akbarieh Garden as the World Heritage Cultural Landscape. First, we wanted to identify the macro elements that dominated one's perception within each area. Then, we wanted to identify the micro elements that support the vista in its entirety.

To acquire data, we used a Participant Observer (PO) method as part of a Continuous/Stop-Motion (CSM) procedure. The identification of macro elements came from retrospective recollections derived from the continuous walk method—the stop-walk method allowed for the identification of micro elements. The data gained from this method is then used to understand how one interprets and responds to large—multi-segmented sites such as the Akbarieh Garden.

The results of this study show the Continuous/Stop-Motion method yielded predictable results with macro elements and elements of interest being easily recalled. However, the use of photographing for the stop-walk method revealed a similar focus on the macro element. We had hypothesized that the micro elements would be the elements of fascination and discovered when the person remained in the area to photograph scenes of interest. However, the PO photographed the macro elements. It wasn't until the post photo analysis that the PO identified some of the micro elements would be the elements of fascination and discovered when the person remained in the area to photograph scenes of interest. However, the PO photographed the macro elements. It wasn't until the post photo analysis that the PO identified some of the micro elements. The post photo discoveries suggest that real-time experience of micro elements is undervalued.

There is no general discussion on this topic yet amongst professionals. The initiative of the Participant Observer (PO) method as a tool for perception the historic gardens and landscapes identified that gap and its related necessity to provide guidance. As is true for exploratory studies, these results provide a foundation for further study. The use of the Continuous/Stop-Motion method was ideal for this study.

The purpose of this study is to investigate the psychological consequences of human trafficking and to reveal the importance of appropriate post-trafficking psychological interventions. Specifically, this study provides a detailed analysis of human trafficking categories, as well as the characteristics of victims and traffickers’ motives. More recent data in the literature show that trauma-coerced attachments and complex post-traumatic stress disorder are also observed among trafficking survivors.

Each of the mentioned mental disorders is presented separately, and results are discussed throughout this study. Consequently, psychological interventions are proposed in accordance with the human trafficking category, survivors’ characteristics and needs and with the relevant personal risk factors determined among victims.

Sex trafficking can have a severe effect on a victim’s mental health, and mental health disorders are substantially higher in human trafficking victims compared to non-trafficked victims or general psychiatric population. Limitations, implications and future recommendations are discussed.

A limited number of past studies evaluated the mental health consequences and identified that survivors have a higher prevalence of anxiety disorders, depression disorders and post-traumatic stress disorder.

Relying on social influence and sociomateriality theories, this research provides new insights about the social and material drivers relating to the sexualisation of online behaviour of social media influencers.

Using a netnographic approach, observation data were gathered from the Instagram accounts of 20 influencers dedicated to beauty and fashion. In addition, 15 in-depth interviews were conducted with women adopting sexualisation practices online. The data were analysed using an abductive strategy; all materials were coded according to thematic analysis principles.

The authors observe that sexualisation is a result of a complex system of social interactions encouraged and reinforced by multiple factors and actors. In particular, the authors outline the major influence of technology that has become a non-human authority defining implicit norms and shaping the beliefs and behaviours of women influencers.

In contrast to existing literature which mainly focuses on the negative consequences of sexualisation, this work sheds some light on social constructs in social media. The authors contribute to the growing literature on social media influencers. Although many works focus on their persuasiveness, this work helps to better understand the social setting, motivations and pressures that are contained in social and technological contexts.