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This paper gives an overview of the design, manufacturing and testing of a high‐speed (16,000 rpm and 30 kW) AFPM synchronous machine, which is mounted inside, and as an integral part of, a flywheel. This system will subsequently be used for transient energy storage and ICE operating point optimization in an HEV. The paper focuses on the major design issues, particularly with regard to the high rotational speed, and investigates the loss mechanisms which are apparent therein, e.g. iron losses, rotor losses, and friction losses. The paper describes the high‐speed testing facility and includes measured results, which will be compared to calculated values.

International assessments have shown gender disparity in STEM among middle school students. Little is known of the gender disparity, the role of psychosocial factors, and school-to-work aspirations in STEM fields in the Cambodian context. The sample included 100 15-year-old students (53% females) from 10 schools in four provinces and the capital city. Classroom observations included eight classrooms from one of the 10 surveyed schools. This study’s measures were adapted from TIMSS’s including science and math interests, and perceived STEM support from teachers and parents. Results indicated that non-STEM subjects are on top of the most enjoyed subjects reported by the students. No statistical significance between genders on STEM interests was found. A multiple regression analysis showed that parents’ and teachers’ support in math, and teachers’ support in science, were predictive of STEM interests. Both parents and students tended to value math more than science, indicating a possible lack of understanding of science. Students showed a significant disconnect between STEM education received in classrooms and aspirations toward an actual career in STEM fields. Classroom observations indicated that while females tended to be shy in the classroom, most teachers did not exhibit behaviors suggesting gender discrimination patterns. Explanations of students’ interests in STEM regardless of gender, as well as the current climate in higher education and careers regarding the gender disparity in STEM, were discussed based on socioeconomic and sociocultural issues within the Cambodian context.

This paper aims to describe the lived experiences of modern urban mothers in Pakistan as they navigate shared motherhood responsibilities with family elders. This paper brings to light their feelings, fears and ambitions towards safeguarding the environment for the future of their children, by reconciling ancient traditions of their female elders with contemporary sustainable consumption practices.

This phenomenological study explores lived experiences of urban mothers through in-depth personal interviews. Their discourse explores sharing childcare responsibilities with family matriarchs, negotiating “green” parenting strategies between intergenerational parenting partners.

Navigating life through the intersections of modernity and tradition and ethical choices and consumerism, urban mothers integrate wisdom of their ancestors into their modern lives to mitigate the environmental degradation of today.

This study sheds light on a unique genre of green mothers, termed as the traditionally green eco-mom, which allows modern mothers and their female elders to synchronously adopt sustainable childcare behaviours that overcome intergenerational barriers by reconciling contemporary lifestyles with traditional wisdom.

The rapid development and widespread application of artificial intelligence tools have raised concerns about how designers are embracing these technologies. This study investigates the factors influencing designers' behavioral intention to use and disclose the use of generative artificial intelligence.

A quantitative research approach was employed, designing a structured questionnaire based on Self-Determination Theory to assess the impact of various psychological and social dimensions. The questionnaire included dimensions such as autonomy, competence, relatedness, social influence, value fit and social innovativeness. A Partial Least Squares Structural Equation Modeling analysis was conducted on 309 valid responses from diverse design fields.

Competence and relatedness are significant factors influencing designers' continuance intention to use generative artificial intelligence. Although autonomy does not significantly affect continuance intention, it plays a crucial role in the decision to disclose artificial intelligence participation. Social influence and value fit significantly shape autonomy, competence and relatedness, while the impact of social innovativeness is relatively limited.

This study clarifies the factors influencing designers' continuance intention and disclosure of generative artificial intelligence tools from both individual and social dimensions, enhancing the understanding of the relationship between designers and generative artificial intelligence tools. It provides valuable insights for the development of artificial intelligence technology and the future trends in the design industry, offering significant theoretical and practical value.

In today’s highly competitive world, the purpose of this research is to emphasize the increasing significance of management education and advocate for the adoption of innovative teaching approaches, specifically focusing on artificial intelligence (AI)-driven personalized learning (PL). This study aims to explore the integration of self-determination theory (SDT) principles into management education, with a primary focus on enhancing student motivation, engagement and academic performance (AP).

This interdisciplinary research adopts a multifaceted approach, combining perspectives from AI, education and psychology. The design and methodology involve a thorough exploration of the theoretical foundations of both AI-driven education and SDT. The research demonstrates how these two elements can synergize to create a holistic educational experience. To substantiate the theoretical claims, empirical data-driven analyses are employed, showcasing the effectiveness of AI-enabled personalized learning (AIPL). The study integrates principles from SDT, such as autonomy, competence and relatedness, to create an environment where students are intrinsically motivated, receiving tailored instruction for optimal outcomes.

The study, rooted in SDT, demonstrates AIPL’s transformative impact on management education. It positively influences students’ autonomy, competence and relatedness, fostering engagement. Autonomy is a key driver, strongly linked to improved AP. The path analysis model validates these relationships, highlighting AI’s pivotal role in reshaping educational experiences and intrinsically motivating students.

This study holds substantial significance for educators, policymakers and researchers. The findings indicate that the AIPL model is effective in increasing student interest and improving AP. Furthermore, this study offers practical guidance for implementing AI in management education to empower students, enhance engagement and align with SDT principles.

Contribute original insights through an interdisciplinary lens. Synthesize AI and SDT principles, providing a roadmap for a more effective educational experience. Empirical data-driven analyses enhance credibility, offering valuable contributions for educators and policymakers in the technology-influenced education landscape.

This paper aims to explore how food-focused social activities are a route for promoting intergenerational relationships, well-being and dietary benefits among residents in care homes and children in preschool/schools.

Using a case study methodology, this study undertook staff-focused research on a 26-month UK programme in 12 partnership clusters, involving a range of growing, cooking, eating and community activities.

Staff reported benefits for older people, including improved mood, surfacing positive memories, new personal connections and relief from feelings of boredom and loneliness. Children were reported to develop in-depth relationships, greater empathy and overcame negative preconceptions. Food-based activities enabled all parties to express caring and nurturing in tangible and often non-verbal ways.

Food-based activities appear to have specific material and emotive characteristics that resonate with the intergenerational interests of older people and children. Using mainly in-house resources, this study showed that it is feasible to generate novel food-based practices between children’s education and care home sectors. A “test-and-learn” programme model is recommended, given sensitivities and complexity associated with food-based activities and the limited organizational capacity of care home and early education service providers.

High surface area-to-volume ratios make nanoparticles ideal for cancer heat therapy and targeted medication delivery. Moreover, ternary nanofluids (TNFs) may possess superior thermophysical properties compared to mono- and hybrid nanofluids due to their synergistic effects. In light of this information, the objective of this article is to examine the blood-based TNF flow within convergent/divergent channels under velocity slip and temperature jump.

Leading partial differential equations corresponding to the problem are transformed into a system of nonlinear ordinary differential equations by using similarity variables. The bvp4c code that uses the finite difference method is used to obtain a numerical solution.

The effect of nanoparticles may change depending on the characteristics of flow near the wall. The properties and proportions of the used nanoparticles become important to control the flow. When TNF was used, an increase in the Nusselt number between 4.75% and 6.10% was observed at low Reynolds numbers. At high Reynolds numbers, nanoparticles reduce the Nusselt number and skin friction coefficient values under some special flow conditions. Importantly, the effects of second-order slip on engineering parameters were also investigated. Furthermore, the Nusselt number increases with increasing shape factor.

Obtained results of the study can be beneficial in both nature and engineering, especially blood flow in veins.

The main innovations of this study are the usage of blood-based TNF and the examination of the effect of shape factor in convergent/divergent channels with second-order velocity slip.

Although McGregor’s Theory X and Y holds significant attention in literature, research on the managerial assumptions and leadership is very scarce. The purpose of this paper is to examine the influence of a leader’s Theory X and Y managerial assumptions on follower perceptions of transformational leadership behaviors and the moderating role of the leader’s gender in this relationship.

A total of 108 leaders provided ratings of their Theory X and Y managerial assumptions; 398 followers then rated their leaders’ transformational leadership behavior. To test the hypotheses, moderated hierarchical regression analysis was conducted.

The results indicated that a leader’s Theory Y managerial assumptions are positively related to the followers’ ratings of transformational leadership behavior while a leader’s Theory X managerial assumptions are negatively related to the ratings of transformational leadership behavior. Furthermore, the relationship between Theory Y managerial assumptions and ratings of transformational leadership behavior are stronger for female leaders than male leaders.

This study provides important insights for leadership literature by depicting how cognitive mental schemas (i.e. Theory X and Y assumptions) and gender influence their transformational leadership behaviors.

This study aims to evaluate and assess the elastoplastic properties of Ti-6Al-4V alloy manufactured by Arcam Q20 Plus electron beam melting (EBM) machine by a tensile test campaign and micro computerized tomography (microCT) imaging.

ASTM E8 tensile test specimens are designed and manufactured by EBM at an Arcam Q20 Plus machine. Surface quality is improved by machining to discard the effect of surface roughness. After surface machining, hot isostatic pressing (HIP) post-treatment is applied to half of the specimens to remove unsolicited internal defects. ASTM E8 tensile test campaign is carried out simultaneously with digital image correlation to acquire strain data for each sample. Finally, build direction and HIP post-treatment dependencies of elastoplastic properties are analyzed by F-test and t-test statistical analyses methods.

Modulus of elasticity presents isotropic behavior for each build direction according to F-test and t-test analysis. Yield and ultimate strengths vary according to build direction and post-treatment. Stiffness and strength properties are superior to conventional Ti-6Al-4V material; however, ductility turns out to be poor for aerospace structures compared to conventional Ti-6Al-4V alloy. In addition, micro CT images show that support structure leads to dense internal defects and pores at applied surfaces. However, HIP post-treatment diminishes those internal defects and pores thoroughly.

As a novel scientific contribution, this study investigates the effects of three orthogonal build directions on elastoplastic properties, while many studies focus on only two-build directions. Evaluation of Poisson’s ratio is the other originality of this study. Furthermore, another finding through micro CT imaging is that temporary support structures result in intense defects closer to applied surfaces; hence high-stress regions of structures should be avoided to use support structures.

The purpose of this paper is to describe and assess Arabic videos related to cancer treatment to gain insights about the nature of health information as it is shared on YouTube. Accordingly, future strategies for different bodies are suggested to promote effective communication.

The approach is to select a representative sample of YouTube videos for certain search terms related to cancer treatment in the Arabic language. In order to identify the search terms, Google Trends is utilized. To retrieve the most relevant videos, a simple python tool is developed using YouTube API V3. For this study, the first 150 relevant videos are quantitatively and qualitatively analyzed. Objective data and subjective data are collected for each video and analyzed. Objective data include video title, URL, length, view count, like count, dislike count, comment count and the associated tags. For content analysis, coding themes are defined for the subjective data as follows: video format, video authorship and video content. Video content includes three categories: types of treatments, targeted part and evidence-based indicators.

The study included 150 videos, from which 30 videos were not content related; therefore, 120 videos remain in the analysis. Using rounding values, it can be observed that the average video lasted 10 min, had 184,966 views, was commented on 263 times, was liked by 2,295 users and disliked by 148 users. Non-professional individuals (46 percent) posted less than half of the videos, whereas public institutions posted only 18 percent of videos. More than half of videos (56 percent) promoted using herbal, botanical, and other natural products for cancer treatment. The majority of YouTube video formats were videos (52 percent), followed by audio with captions (30 percent). News and stories were the dominant videos, with (16 percent), and other types of videos were mostly testimonials and private centers promotions. Only 6 and 9 percent of videos targeted the genetic and immune systems, respectively. Out of the 120 analyzed videos, 86 percent did not mention any risk factor for the recommended treatment, and 73 percent did not offer the details of their usage direction.

Researchers need to understand the information that is currently available on social media platforms related to the high-risk diseases in order to design initiatives, tools, and actions to allow an easy effective transfer of knowledge.

Recounting in-depth knowledge of YouTube cancer treatment contents will allow policy makers, YouTube management, medical organizations, and government agencies to understand the viewers’ behavior of YouTube and their needs to provide accurate and trustworthy information to adopt evidence-based resources.

Creating the suitable content, in terms of health promotion strategies, associated with the appropriate format and understandable language that people need will be one of the major responsibilities of YouTube management, government and professional bodies. The well-designed health messages will enhance users’ engagement and attention to health issues from trusted sources.

There is very less information about Arabic messages in social media, YouTube in particular, specifically regarding cancer treatment. Thus, this study is one of the first studies to explore how Arabic messages are presented on YouTube. The aim of the assessment is to extract the current status and suggest future strategies for different bodies to have effective communication toward the Arabic communities.