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    Bring Your Own Biodata (BYOB): Feminist, Corporeal and Collective Approaches to Datafied Bodies

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    Quantitative representations of the body have become increasingly commonplace, a requisite for many navigating complex health issues, yet also heavily scrutinized under feminist lenses for flattening embodied experiences and perpetuating norms. How might designers and researchers navigate this tension, engaging with quantified (bio)data in corporeal, sensory, collective, and anti-solutionist ways? This 1-day workshop will bring together HCI researchers, practitioners, and designers to solidify the role of design in shaping how we interact with, know, grasp, and enjoy our data, while staying true to critical feminist values. Attendees will be invited to Bring Your/their own (Bio)Datasets (BYOB) as well as any tools or data physicalization crafting techniques they want to employ. The intended outcome of this workshop is a plurality of datasets, data tools, and data representations that empower people to engage with their data in ways other than the ones afforded by screens and dashboards, emphasizing agency, embodiment, and community

    Establishing Foundational Principles for a Reading Comprehension Framework: A Qualitative study of teachers’ perspectives of Grade 4 Second Language Speakers in CBSE International Schools of Dubai

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    This research aims to establish the foundational principles for a structured and sequenced reading comprehension instruction tailored for Grade 4 second language speakers in CBSE international schools both in Dubai and India. While the CBSE curriculum provides a broad academic structure, it lacks specific, detailed strategies for fostering reading comprehension skills, particularly for second-language speakers. In India, the CBSE curriculum remains largely focused on functional English and exam-oriented outcomes, leaving a gap in addressing deep comprehension skills necessary for lifelong learning. In Dubai, CBSE international schools operate in linguistically and culturally pluralistic environments, where students often come from diverse backgrounds and exhibit varying levels and varieties of English proficiency. However, there are no tailored instructions within the curriculum to address the unique and specific needs of these second-language speakers in this international context. This gap highlights the need for research that can inform teaching practices and guide policymakers in developing context-specific foundational principles to enhance reading comprehension and support equitable learning outcomes in CBSE schools globally. The study employs a qualitative interpretative phenomenological case (QIPC) methodological approach to explore and capture teachers’ responses and experiences. The study involved the administration of a questionnaire to 32 teachers from six CBSE schools in Dubai, followed by semi-structured interviews with six teachers from the case study schools also in Dubai. The study is underpinned by a ‘Combination Paradigm’, a theoretical framework that integrates cognitive theories, socio-constructivism, and critical literacy explicitly developed to address the unique requirements of this research. The findings contribute foundational insights that can inform the development of adaptable, culturally responsive reading comprehension practices. These include principles for effective literacy instruction, integration of cultural relevance, cross-curricular literacy strategies, and the importance of sustained teacher professional development. Rather than offering a prescriptive model, this study presents a conceptual starting point—a set of guiding principles—to support the future development of reading comprehension approaches for second-language learners in CBSE contexts globally (Dubai and India)

    The Influence of the Dietary and Lifestyle Practices of Seventh-Day Adventists on COVID-19 Health Outcomes

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    This thesis assessed the influence of the dietary practices of Seventh-day Adventists within the context of their lifestyle on COVID-19-related health outcomes such as the incidence of COVID-19 infection, symptom severity and risk of long-COVID. Therefore, a two-year prospective cohort study involving 170 participants (86 Adventists and 84 non-Adventists) was conducted to compare COVID-19 outcomes among Adventists and non-Adventists. The study showed that Adventists had a significantly lower incidence of COVID-19 infection (OR 0.45, 95% CI 0.2,1.0, p=0.05) and had a significantly reduced risk of experiencing severe symptoms as well as long COVID symptoms. These outcomes were observed despite Adventists being older and having a lower vaccination rate. Logistic regression analysis further revealed that adherence to a plant-based diet was significantly associated with reduced COVID-19 risk. Furthermore, being a vegetarian Adventists was associated with significantly less weight gain during the pandemic compared to non-vegetarians and Adventists overall reported frequent lower levels of pandemic-related stress and less weight gain during the lockdowns, which may have positively influenced their COVID-19 risk significantly. Plant-based Adventists were shown to consume fewer dietary supplements than omnivores, specifically vitamin B12 and vitamin D; however, this did not correspond to increased COVID-19 risk. A systematic review and meta-analysis supported that vegan and vegetarian Adventists typically met recommended intakes for most nutrients that can influence immunity and thus COVID-19 susceptibility, though potential deficiencies in calcium, zinc and iron were noted. These findings led to the design and implementation of a targeted educational intervention among plant-based Adventists who were living in the UK. The educational intervention identified significant gaps in general and COVID-19 specific nutrition knowledge among the recruited plant-based Adventists at baseline, which was effectively improved by the educational intervention, which showed a large effect size (Hedges' g = −2.681, p < 0.001). The 4-week follow-up questionnaire showed that 49% of participants had begun to use supplements after the intervention and 59% reported using more fortified foods, indicating that the intervention successfully led to behaviour change. These findings suggest that the Adventist lifestyle, characterized by the widespread consumption of a plant-based diet, regular fasting, abstention from harmful substances such as alcohol and tobacco, maintenance of a healthy bodyweight, and the use of stress management practices such as Bible reading, prayer and singing and the strong social support structure may offer protection against COVID-19 infection. In conclusion, the studies described within this thesis have provided important answers for the association between COVID-19 incidence and Adventist dietary practices and may have implications for health promotion for Adventists living in the UK and worldwide

    Smartwatch-Based Audio–Gestural Insights in Violin Bow Stroke Analyses

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    Following the exposition of quantitative, identifiable idiosyncrasy in violin performance – via neural network classification – we demonstrate that smartwatch-based synchronous audio-gesture logging facilitates interpretable practice feedback in violin performance. The novelty of our approach is twofold: we exploit convenient multimodal data capture using a consumer smartwatch, recording wrist-movement and audio data in parallel. Further, we prioritise the delivery of performance insights at their most interpretable, quantifying tonal and temporal performance trends. Using such accessible hardware to observe meaningful, approachable performance insights, the feasibility of our approach is maximised for use in real-world teaching and learning environments. Presented analyses draw upon a primary dataset compiled from nine violinists executing defined performance exercises. Recordings segmented via note onset detection are subject to subsequent analyses. Trends identified include a cross-participant tendency to ‘rush’ up-bows versus down-bows, along with lesser temporal and tonal consistency when bowing Spiccato versus Legato

    Predictors of behavioral risk factors associated with myocardial infarction and stroke based on protection motivation theory in middle-aged adults of Southern Iran: Threat appraisal or coping appraisal?

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    Background — Among noncommunicable diseases, myocardial infarction (MI) and stroke are the most common global cause of death and the most important cause of disability. However, they are also regarded as the most preventable chronic noncommunicable diseases in humans. The goal of our study was to investigate the predictors of behavioral risk factors associated with MI and stroke based on the protection motivation theory (PMT) in the middle-aged adults of southern Iran. Methods — We conducted a cross-sectional descriptive analytical study. The study population included 383 middle-aged individuals from southern Iran. Data collection instruments included demographic questions, PMT questionnaire, and questions on preventive behaviors for MI and stroke. Descriptive and inferential statistics were calculated after data collection. Results — The mean age of the study subjects was 41.26±8.32 years. The results of this study showed that the construct of self-efficacy has the highest predictive power of protection motivation. In our study, the most important predictors of preventive behaviors against the risk of MI and stroke were perceived severity, perceived vulnerability, self-efficacy, protection motivation, risk level, gender, and literacy level. Conclusions — Our results confirmed that PMT is a suitable theory for preventive behaviors for MI and stroke. In this context, it is suggested to initially provide positive coping messages, especially to the middle-aged population, to increase patients’ self-confidence regarding preventive behavior, especially diet and regular physical activity

    Entrepreneurial Coaching: A Framework for Evidence Based Practitioner Education

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    Coaching has emerged as a pivotal mechanism for fostering entrepreneurial growth and leadership development across diverse contexts. This recognition stems from its ability to deliver tailored support, strategic guidance, and personalised encouragement to individuals navigating the complexities of entrepreneurial ventures (Kotte et al., 2021). Despite growing enthusiasm for entrepreneurial coaching, research exploring its application and efficacy remains sparse, with existing literature often lacking the rigor necessary to address the unique demands of this field. A significant gap lies in the foundational models that inform entrepreneurial coaching practices. Current frameworks, while broadly applicable, fail to accommodate the distinct needs of entrepreneurs, who must cultivate critical competencies such as opportunity recognition, value creation, and risk management (Cheah, 2012; Azizi et al., 2023). This gap underscores the urgency for context-specific, evidence-based coaching approaches designed to empower entrepreneurial success. Moreover, the field faces a critical challenge in the lack of formal training for entrepreneurial coaches. Many practitioners enter this domain from diverse professional backgrounds, often without adequate immersion in coaching theory or entrepreneurial skill development (Kotte et al., 2021; Marras et al., 2023). This shortfall limits the effectiveness of coaching interventions, leaving entrepreneurs ill-equipped to tackle the unique challenges of innovation and leadership in dynamic markets. This chapter explores the multifaceted role of coaching in entrepreneurial development, examining its benefits, challenges, and potential for transformative impact. Drawing from a critical analysis of existing literature, the authors present practical recommendations for advancing the field: integrating coaching into entrepreneurial education through experiential and reflective learning; conducting rigorous, context-sensitive research to evaluate coaching effectiveness; and designing structured, inclusive training programmes for coaches and support providers. The chapter culminates in a proposed framework for rigorous entrepreneurial coach training programs, offering actionable insights for researchers and practitioners to enhance the effectiveness and sustainability of coaching interventions in this evolving field

    Education Journal Magazine: Volume 5, Edition 2

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    Contents: The evolution of religious education: A reflective analysis of the latest Curriculum and Assessment Review by Imran Mogra “As a teacher, you have to ask yourself—why are you doing this?” by Molly Bettencourt The Neoliberal Educational Context; How Is It Shaping Assessment Choices in the Drama Classroom? by Nathan Wye How can teaching practitioners embed support for reading comprehension for the older years in an economically deprived context school? by Abbie Coleman Rhythmanalysis: A Day in a Life as a Teacher by Hayley Tatlow Bridging the Gap: The Role of Social Class in Shaping Educational Opportunities. A Reflection on Shaun's Story: Troubling discourses of white working-class masculinities by Diane Reay, 2010. by Khasiba Omar Mapping Pedagogical Journeys by Louis Bernard Using Educomix to Explore the Impact of Character Design and Closure by Kevin Hoffin Echo of Humanity: Using Drama Education and Virtual Galleries to Cross Boundaries and Break Down Borders in Search of a Shared Humanity by Rebecca Patterson The Overlooked Skill: Exploring Emotional Self-Awareness in Teacher Development with AI by Liz Joseph Ann An exploration of maths curriculum access for learners with Foetal Alcohol Spectrum Disorders (FASD) in KS3 and KS4. A bounded case study of one local authority by Stephen Butterfiel

    Seeking to Be Heard: Reflections on the Value of a Partnership Approach to Involving Victims in the Development of Domestic Abuse Policy and Practice

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    This paper outlines the development and delivery of a novel, collaborative, co-production approach to incorporating lived experience in the development of policy and practice in the area of domestic abuse. “SEEKERS” (Sharing Experience, Expertise and Knowledge for Effective Responses and Support) is an initiative which brings together victims and advocates, police, practitioners and researchers as equal partners. It creates opportunities for them to share their experiences, expertise, and knowledge, so that others can learn from these and use this learning in addressing domestic abuse-related issues more effectively. Throughout this paper, we discuss some of the challenges encountered in developing and delivering activities and how these were addressed. Notable benefits of the approach will be highlighted, as indicated by feedback from those involved in a range of capacities, including police and law enforcement practitioners, policy makers, councillors, service providers, support services, victim advocates and survivors of domestic abuse. It is hoped that this paper will contribute to ongoing discussions regarding the ways in which different agencies and stakeholders can work together more effectively and how we can create methods and spaces to support meaningful interaction, collaboration, and co-production with victims

    MATLAB Simulink Analysis of Switch Matrix for Optimal Solar PV Array Efficiency

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    This study addresses the challenge of partial shading in solar photovoltaic (PV) systems, which limits power output in conventional configurations. To enhance efficiency, this research explores both static and dynamic reconfiguration strategies, integrating a switch matrix to adapt to diverse shading conditions. The static approach employs Sudoku puzzle pattern for matrix structuring, while the dynamic approach utilizes a controllable switching matrix within electrical array reconfiguration (EAR) to respond to environmental variability. The methodology involves simulating a 3 × 3 PV array in MATLAB Simulink to assess power optimization across varying shading scenarios. Findings reveal that incorporating the switch matrix significantly improves power output, offering valuable insights for scalable PV systems under partial shading. This work emphasizes the switch matrix's critical role in enhancing both flexibility and performance in PV arrays.This study addresses the challenge of partial shading in solar photovoltaic (PV) systems, which limits power output in conventional configurations. To enhance efficiency, this research explores both static and dynamic reconfiguration strategies, integrating a switch matrix to adapt to diverse shading conditions. The static approach employs Sudoku puzzle pattern for matrix structuring, while the dynamic approach utilizes a controllable switching matrix within electrical array reconfiguration (EAR) to respond to environmental variability. The methodology involves simulating a 3 × 3 PV array in MATLAB Simulink to assess power optimization across varying shading scenarios. Findings reveal that incorporating the switch matrix significantly improves power output, offering valuable insights for scalable PV systems under partial shading. This work emphasizes the switch matrix's critical role in enhancing both flexibility and performance in PV arrays

    Specific cutting energy and surface roughness analysis of dry, wet and cryogenic turning of Ti-6Al-4V

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    Manufacturing systems are designed to generate productivity which is economical and sustainable. Different manufacturing systems are interpreted in various terms which highlight their manufacturing output. Machining represents a major portion of all manufacturing processes. In the present research a turning manufacturing system is designed, experimented and analyzed to highlight the importance of employment of appropriate input parameters. Use of coolant is taken as an input variable in cutting aerospace alloys (Ti-6Al-4V) to analyze the system in terms of output responses including surface roughness and specific cutting energy. Results showed that surface integrity and specific cutting energy can be significantly improved by using an appropriate cooling system. Cutting speed (contribution ratio 57.33%) and feed rate (contribution ratio 92.37%) proved to be the significant input parameters for specific cutting energy and surface roughness respectively. Confirmatory tests optimized the selected responses maximizing process output

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