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Intelligent planning of UAV flocks via transfer learning and multi-objective optimization
Multiple UAVs have been extensively deployed recently to reduce human workload, resulting in increased automation and efficiency. Path planning of numerous UAVs is a challenging optimization problem and a key component in various applications. Traditional strategies cannot provide accurate, optimal solutions rapidly in complex mission settings. In this context, flocks of birds exhibit intricate patterns of group escape when faced with predators. Local group interactions may lead to the autonomy of these patterns. However, most nature-inspired intelligent planning techniques have slow search speeds and easily fall into local areas. An intelligent planning method emulating the behavior of pigeons to achieve intelligence, safety, and consistency in UAV flocks in a complicated environment is designed. The combinatorial approach of pigeon-inspired optimization and transfer learning (TL-PIO) is the focus of the multi-objective optimization task. On the one hand, path planning and formation control of individual clusters with a dynamic agent are dealt with combinatorial efforts of multi-agent systems (MAS) and flocking model. On the other hand, swapping and synchronization of individual clusters construct flocks in a dynamic environment. Specifically, interaction and swapping positions of the best members among all clusters are involved to plan optimized paths and configure agents in one flock. Experimental results have been validated through a detailed numerical analysis of proposed algorithm over other combinatorial approaches, namely social learning pigeon-inspired optimization (SL-PIO), social learning particle swarm optimization (SL-PSO), and social learning ant colony optimization (SL-ACO). TL-PIO achieves an improvement of 25% over SL-PIO and 18% over SL-ACO in seven test functions and 15% over SL-PSO but only in five test functions. Outcomes reveal the developed approach has the fastest convergence rate and high local optimal avoidance and exploration ability, significantly reducing costs and illustrating supremacy over other methods. The presented work practically implies researchers and practitioners adopt it for distinct benefits in real-world applications
Film and the Creative Arts in the age of open research
In this presentation at the University of Warwick, Dr Kamran Qureshi explores the dynamic intersection between open research and the creative arts, drawing on his background as a film and television director and academic, he reflected on the intersections of practice-based research, data transparency, and scholarly communication in creative disciplines.The presentation explored how structured, openly accessible data can support interdisciplinary publishing, enhance transparency, and expand the impact of arts-based research. Dr Qureshi discussed both the advantages and complexities of data sharing in the humanities and creative disciplines, including issues of ethics, reproducibility, and accessibility.Through this case study-driven talk, Dr Qureshi demonstrated how integrating open research practices into the creative arts not only fosters collaboration and public engagement but also strengthens the long-term value and visibility of practice-based research
Criminology meets nursing simulated technology: taking blended learning in new directions
This article presents an innovative approach to blended learning that integrates criminology and nursing pedagogy in a higher educational institution. It explores a Crime Scene Investigation module from a criminology undergraduate degree programme that used an Anatomage table, a life-size high-resolution tool used in the nursing degree courses, that allows students to have digital interactions with human cadavers. A murder victim, investigated by the students during this module, was aligned with one of the five digitised cadavers from the Anatomage table. Within the module presented in this article, the students investigated a staged crime scene of a murder victim with stab wounds. They then attended a simulation laboratory to explore the anatomical structures below each stab wound, enabling them to identify the fatal incision. The activity was designed to develop critical thinking, forensic interpretation, and real-world problem solving by using pedagogical approaches such as contingency, fading, and scaffolding. This scoping case study demonstrates the potential of cross-disciplinary pedagogical innovations and how diversifying the use of technologies can enhance the student experience through blended learning approaches. It does not provide formal data collection but highlights potential for future empirical research
"In simple terms, Control the Controllables”: Co-production and Piloting of a Novel Attribution Retraining in Sport (ARiS) Intervention
Network analysis of offensive dynamics in a Portuguese First Division football team: insights from the 2020-2021 season
Introduction: Network analysis has gained increasing attention, as it provides a framework for identifying both collective and individual behaviours within the football teams.Objective: This study aimed to analyse the offensive actions that resulted in shots using network analysis in a Portuguese First Division football team during the 2020-2021 season.Methodology: All 34 matches were coded using Angles® software. Offensive actions were defined as sequences starting with a ball recovery and ending with a shot. Adjacency matrices were constructed for each match, and both macro and micro analytical approaches were employed to examine differences between the two halves of the season.Results: Findings indicated 914 intra-team interactions, with player 14 (midfielder) and player 2 (forward) as key contributors, particularly in micro network metrics such as degree prestige (passes received) and degree centrality (passes made). Statistical analysis revealed no significant differences in network metrics, including density (W = 95, p = 0.0912) and clustering coefficient (W = 112, p = 0.2689), between the season halves.Discussion: These findings offer valuable insights for practitioners seeking in recognizing play patterns and optimizing team dynamics. Identifying key players allows coaches to design targeted training exercises, enhance player roles, and better assess opposition threats and vulnerabilities.Conclusions: Network metrics provides a comprehensive understanding of team dynamics, particularly in identifying key contributors to offensive actions
Designing culturally inclusive case studies with generative AI: strategies and considerations
This study investigates the use of generative AI tools to create culturally inclusive case studies in postgraduate project management education, addressing a critical gap in existing research. While prior literature highlights the benefits of culturally responsive teaching (CRT) practices, there is notable lack of exploration into how generative AI can be leveraged to develop culturally relevant learning materials. Using an interpretivist philosophy and action research methodology, the study engaged eight international students to evaluate the effectiveness of AI-generated case studies tailored to diverse cultural contexts. The major contribution of this study is the development of a structured framework of strategies and considerations that guides educators in designing culturally inclusive materials using generative AI tools. The inclusion of clearly defined strategies provides educators with practical guidance, while the accompanying considerations act as essential safeguards, encouraging critical reflection on potential risks such as bias, stereotyping, and ethical misuse. The findings hold significant implications for educational practice, emphasising the ethical use of AI, targeted professional development for educators, and the potential for scalable, inclusive teaching strategies that enhance student engagement, equity, and learning outcomes in multicultural classrooms
Key success factors for adoption of CI/CD with agile project management - systematic literature review
The adoption of Continuous Integration and Continuous Delivery (CI/CD) is increasingly critical for improving software development efficiency and quality, especially in Agile Project Management. However, limited research focuses on the success factors driving CI/CD adoption in Agile environments. This systematic literature review identifies key factors for successful CI/CD integration, such as Customer engagement, Effective communication, Measurement, Collaborative Organizational Culture, Team Roles and Dynamics, Top management support, Tools, Continuous Monitoring and Continuous Improvement, Critical Skills and Employee Engagement. The review also highlights challenges such as resistance to change, lack of expertise in CI/CD tools, and difficulties in fostering cross-functional collaboration. Addressing both technical and organizational challenges is essential for successful CI/CD adoption. The review emphasizes the need for further research, particularly in customized and project-based environments, to better understand CI/CD adoption complexities and provide actionable insights for organizations
Between myth and reality: the cultural and digital narratives of childbirth
This chapter explores the intersection of cultural, medical, and digital narratives surrounding "natural" childbirth, revealing how these narratives idealize while concealing the complexities of the birthing process. Drawing on Julia Kristeva's concept of abjection, the study investigates how childbirth is perceived as both natural and unsettling, shaped by societal expectations. It links fairy tale symbolism, such as Little Red Riding Hood, to contemporary social media practices, illustrating how women are pressured to meet ideals of natural birth shaped by digital platforms, influencing maternal identity.The chapter contrasts historical and cultural unease about childbirth with sanitized portrayals in media and fairy tales. It also analyses an experimental artistic practice using bodily fluids and organic materials, emphasizing the tension between the natural and the unnatural. Ultimately, the paper calls for a nuanced understanding of childbirth that recognizes its complexities and challenges cultural myths
Co-producing social work knowledge: collaborative approaches between communities, practitioners and social work educators.
This paper addresses how social work education can promote concepts of community, trust, and the development of sustained professional and community-engaged relationships. We use case studies to highlight collaborative practice with stakeholders and emphasize how insider knowledge plays a crucial role in the design and implementation of more inclusive interventions. This new knowledge moves away from problem-oriented social work interventions and embraces a holistic community development approach. Drawing on our empirical work and international social work we show how and why it is important to include these approaches in social work education utilising co-produced digital methods such as seminars, podcasts and videos. Drawing on two localities in England we highlight how through collaboration and building trust, new, co-produced knowledge can lead to a shift towards a more holistic approach to social work concerns including Social Work education and practice. We argue this matters because in the recent past social work and other statutory organisations practice with communities and regarding safeguarding fell short (IITCSE 2022). In this paper we emphasise implications of co-produced knowledge and applications in social work education. Moreover, we show how collaborative practice can address discrimination, exploitation and violence and social work education be enhanced. <br/