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The purpose is to analyze the mechanical behavior of the arterial wall in the degraded region of the arterial wall and to determine the stress distribution, as an important factor for predicting the potential failure mechanisms in the wall. In fact, while the collagen fiber degradation process itself is not modeled, zones with reduced collagen fiber content (corresponding to the degradation process) are assumed. To do so, a local weakness in the media layer is considered by defining representative volume elements (RVEs) with different fiber collagen contents in the degraded area to investigate the mechanical response of the arterial wall.

A three-dimensional (3D) large strain hierarchical multiscale technique, based on the homogenization and genetic algorithm (GA), is utilized to numerically model collagen fiber degradation in a typical artery. Determination of material constants for the ground matrix and collagen fibers in the microscale level is performed by the GA. In order to investigate the mechanical degradation, two types of RVEs with different collagen contents in fibers are considered. Each RVE is divided into two parts of noncollagenous matrix and collagen fiber, and the part of collagen fiber is further divided into matrix and collagen fibrils.

The von Mises stress distributions on the inner and outer surfaces of the artery and the influence of collagen fiber degradation on thinning of the arterial wall in the degraded area are thoroughly studied. Comparing the maximum stress values on outer and inner surfaces in the degraded region shows that the inner surface is under higher stress states, which makes it more prone to failure. Furthermore, due to the weakness of the artery in the degraded area, it is concluded that the collagen fiber degradation considerably reduces the wall thickness in the degraded area, leading to an observable local inflation across the degraded artery.

Considering that little attention has been paid to multiscale numerical modeling of collagen fiber degradation, in this paper a 3D large strain hierarchical multiscale technique based on homogenization and GA methods is presented. Therefore, while the collagen fiber degradation process itself is not modeled in this study, zones with reduced collagen fiber content (corresponding to the degradation process) are assumed.

During the COVID-19 pandemic, the importance of digital infrastructure in higher education surged. This study aims to analyze how a country’s digital capabilities influence pedagogical transitions in business schools and compare the impacts between digitally advanced and advancing countries.

The authors applied the job demands–resources model and the IMD World Digital Competition Ranking 2021 to analyze the impact of nations’ digital capabilities on the pedagogical transitions experienced by 121 business faculty members from 20 nations. The countries were categorized into digitally advanced countries and advancing countries. The snowball sampling method was used to gather data through an online survey consisting of 24 items. SPSS was used to statistically analyze the data in two stages using paired t-test and group comparison.

Significant shifts between face-to-face and online lectures occurred in both groups. Advanced countries witnessed positive shifts in discussions, presentations, oral assessment, independent learning opportunities, online teaching methods, technical support and faculties’ readiness, whereas advancing countries mainly noted alterations in professional development and communication technologies.

This study offers insights into optimizing digital capabilities and enhancing business schools’ readiness for effective pedagogical shifts during crises. Both the theoretical contribution and the findings will benefit national education policies, higher education institution leaders, scholars and educators.

Higher educational institutes (HEIs) are experiencing a significant shift towards online education, which has been fast-forwarded with the global pandemic of COVID-19. The forced shift has also exposed many vulnerabilities in online education, especially assessments. The purpose of this study is to investigate the potential dark side of the digital transformation of examinations through the lens of university students.

This study involves a sample of 127 university students from the fields of business and science, technology, education and management (STEM) and the key factors affecting student perception were assessed quantitatively to explore the interrelationships.

Results revealed that both business and STEM students have a similar impression of the use of online examinations, and the majority still have mixed feelings about them as a replacement for physical examinations. The regrouping of the factors revealed two key dimensions, trustworthiness and apprehensible education, as key areas of student perception in the context of online examinations.

This study aims to strengthen the understanding of Kolb’s experiential learning mechanism through a discussion on the importance of abstract conceptualization as opposed to concrete experience in the establishment of the online assessment and learning space. Practically speaking, increasing investment in internet infrastructure and forming strategic alliances with important parties, like internet providers, to create uninterrupted network coverage, are an effective place to start if one wants to make sure that the process of moving to online learning is becoming more and more accepted by educators, students, and the general public.

The online transition to higher education has seen expedited growth since the pandemic and has not given much room for many HEIs globally to adjust. The procedures and techniques implemented take a Western lens, and less attention is given to the emerging context and its context-specific characteristics in such implementation. This study takes the theoretical lens of Kolb and proposes the key learnings for a successful online transition to assessment in emerging contexts.

The purpose of this paper is to identify how the introduction and dissemination of the 5S-KAIZEN-TQM approach positively influence the Egyptian health sector and its sustainability. It also seeks to encourage effective and efficient introduction of the 5S-KAIZEN-TQM approach into the health sectors of low- and middle-income countries.

The pilot program introducing the 5S-KAIZEN-TQM approach into five Egyptian public hospitals spanned over 13 months from January 2016 to February 2017. During the pilot program, a series of interventions occurred to introduce the approach, such as seminars on the 5S and KAIZEN approach, consultation visits and progress report meetings. Data and information were collected through conducting interviews, observing directly and evaluating the implementation progress of 5S-KAIZEN-TQM activities.

The study identified the following factors in effective and efficient dissemination of 5S-KAIZEN-TQM activities in the Egyptian health sector: restructuring the quality management structure to establish Quality Improvement Teams and Work Improvement Teams in hospitals, generating strong leadership and commitment among leaders, conducting effective in-house trainings on the 5S-KAIZEN-TQM approach, monitoring and following up on 5S-KAIZEN-TQM activities and introducing the 5S-KAIZEN-TQM approach using non-clinical sections, which could also influence the sustainability of the activities.

This study holds value in its clarification of meaningful ways to disseminate and encourage the sustainability of the 5S-KAIZEN-TQM approach in Egyptian public health facilities. Moreover, officials from the Ministry of Health and Population and hospital managers in Egypt can use the findings to plan and disseminate this approach nationwide.

Hospital-based quality improvement (QI) programs are becoming increasingly common in developing countries as a sustainable method of strengthening health systems. The aim of this paper is to present the results and lessons learned from a QI program in a large, rural, district hospital in Lesotho, Southern Africa.

Over a 15-month period, a locally-relevant, hospital-wide QI program was developed and implemented. The QI program consisted of: planning meetings with district and hospitals staff; creation of multi-disciplinary QI teams; establishment of a QI steering committee; design and implementation of a locally appropriate QI curriculum; and monthly consultation from technical advisers. Initial QI programming was developed in three distinct areas: maternity care, out-patient care, and referral systems.

Partogram documentation in the maternity department increased by 78 percent, waiting time for critically ill patients in the out-patient department was reduced by 84 percent, and emergency referral times were reduced by 58 percent.

The design and early implementation of QI programs should focus on easily achievable, locally-relevant improvement projects. It was found that early successes helped to fuel further QI gains and the authors believe that the work building sustainable QI skill sets within hospital staff could be useful in the future when attempting to tackle larger national-level quality of care indicators. The findings add to the existing evidence suggesting that an increased use of locally-relevant quality improvement programming could help strengthen health care systems in low resource settings.

Usage patterns of mobile phones in Israel position them as instruments of great importance and as everyday, multipurpose, and interpersonal devices. This study utilizes a critical perspective of the “uses and gratifications” approach to explore the usage of and gratification sought from smartphone usage of millennials. Sixty personal in-depth interviews were conducted during 2013 with millennials (undergraduate students) with the primary goal of exploring millennials’ perceptions of smartphone usages, as well as their personal experiences with smartphones and the role of smartphones in their lives. A grounded theory approach was used to analyze students’ reflections on the roles of smartphones in their lives. Participants have expressed a great bonding with their smartphone and relationships that can be described in term of "love and hate.” The thematic analysis highlighted the addictive elements of using their smartphone, that is, using it more frequently and under undesired circumstances than one would like to, and even becoming anxious about losing the device or even getting too far away from it. Other leading themes included the influence of external pressures to use smartphones, the varied usefulness that smartphones serve in participants’ lives, and a strong sense of "Fear of missing out" as an explanation for their extensive use of their smartphones. The findings of this chapter indicate that smartphones have become an indispensable medium among young adults, used due to practical, as well as to emotional reasons; inner, as well as external impulses.

The purpose of this paper is to identify consumers’ resistance and motivational factors affecting the intention of using mobile financial services. The paper also examines the impact of trust in the acceptance of such services.

To empirically apply the conceptual model and test the hypotheses, data are collected through a questionnaire involving 300 Tunisians non-users of mobile financial services and are analyzed using exploratory factor analysis and structural equation modeling.

The paper identifies one resistance dimension – tradition. The paper also identifies four motivational dimensions – compatibility, trialability, perceived enjoyment and system quality. Tradition has a negative and a significant impact on the intention to use mobile financial services, whereas compatibility, trialability and perceived enjoyment have a positive and a significant impact on intention to use such services. In addition, system quality has a significant and positive impact on trust.

These dimensions of consumer resistance and motivation should be viewed as the levers for improving the adoption of mobile financial services. Examining these factors can provide to financial service providers with valuable insights regarding which aspects of the service should be improved in order to implement mobile financial services. Furthermore, improvements in system quality allow firms to increase customer trust.

Through a multi-faceted framework, the study extends the literature on innovation acceptance, exploring consumer resistance, motivational factors and customer trust in the context of intention to use mobile financial services. The paper also builds on previous models, especially Rogers theory of innovations’ diffusion (2003).

This paper aims to propose an analytical model for the harmonic content no-load magnetic fields and Back electric motive force (EMF) in double-sided TORUS-type non-slotted axial flux permanent magnet (TORUS-NS AFPM) machines with surface-mounted magnets considering the winding distribution and iron saturation effects.

First, a procedure to calculate the winding distribution with a rectangular cross-section is proposed. The magnetic field distribution and magnetic motive force (MMF) drop due to saturation in iron cores are then exactly extracted in a 2-D analytical model. The consequent influence on air-gap magnetic field and Back EMF are also calculated using a new iterative algorithm. The results are compared with those of the conventional analytical model without saturation, 2-D finite element analysis (FEA) and an experiment on a fabricated prototype machine.

Unlike the conventional method, the new method yields the no-load magnetic field distributions in air-gap and iron cores and Back EMF very exactly such that the results well match to those of the FEA and experiment.

Unlike the conventional winding factor, the winding distribution is considered here along the both axial and circumferential directions, which improves the accuracy level of results for non-slotted structures with relatively large air-gaps. The magnetic field distribution and MMF drop-in iron parts are also calculated as the basis for exact recalculation of air-gap magnetic field and Back EMF. Because of small computational burden beside superior accuracy, the proposed model can be treated as an accurate and fast substitute for FEA to be used during the design procedure or for predicting the other performance characteristics of TORUS-NS AFPM machines.