In the realm of advanced engineering materials, Aluminium Metal Matrix Composites (AMMCs) have carved out a significant niche due to their remarkable blend of light weight, high strength, and superior wear resistance. As industries such as aerospace, automotive, and defence continually push the boundaries of performance and efficiency, understanding the tribological characteristics of AMMCs becomes crucial for optimizing their application and enhancing their longevity.

Throughout our lives, we all tell stories; whether they are to educate, convince, amuse, inspire, or motivate. They ultimately extend into our livelihood and the spaces we inhabit, transforming the space into a tale through the art of architecture, interior, and spatial design. Even so, not all stories successfully capture the interest of their audience or get across the points they intended to.

Countless live performances have demonstrated the value of spatial design, as they provide background imagery and help structure the show's narrative. Be it any kind of live performance, theatrical show, brand story, fashion show, or concert, the environment that captures and encloses the audience into the new world helps bind the event together.

This paper aims to analyze all the possibilities that set design methodologies and spatial architecture can help enhance and improve the audience's experience.

The research will explore how spatial design components; like lighting, interactive features, and set arrangements, work in tandem with visual storytelling methods to achieve memorable and captivating experiences.

This study examines the intricate details of set design strategies that support immersive storytelling and their effect on viewer engagement. Using a qualitative research methodology combining theoretical frameworks, case studies, and real-world advice from professionals in the field, the research aims to thoroughly grasp how set designers can be crucial in creating experiences for people who enjoy live performances and will remember and find them emotionally stirring.

Keywords: Set design; aesthetics; visualize; narrative; spatial; design; storytelling; performances

This paper analyzes Rome Technopole¹ as a case study of a territorial innovation ecosystem, with particular attention to internal governance mechanisms and stakeholder engagement strategies promoted within the framework of the Italian National Recovery and Resilience Plan (NRRP). Following a review of the regulatory and theoretical background, the article examines the project's organizational architecture and the network-based logic underlying the hub-and-spoke model, highlighting the role of thematic spokes and project flagships. A specific focus is devoted to Spoke 5—responsible for coordinating public engagement, lifelong learning, and social impact activities—where the authors of this paper are actively involved. The paper explores the mechanisms for activating internal collaborations, the operational tools employed, and a selection of high social-impact case studies launched through independently designed calls. Finally, it discusses the structural challenges posed by cooperation among heterogeneous actors—universities, research centers, and industries—highlighting the resulting tensions and opportunities. The experience of Spoke 5 underscores the need to develop systematic practices and adaptive tools for internal stakeholder engagement as a key condition for ensuring the long-term sustainability of complex partnerships beyond the emergency-driven framework of the NRRP.

Keywords: Public Engagement; Innovation Ecosystems; NRRP; Stakeholder Engagement; Networked Governance; Internal Stakeholders; Participatory Models; Rome Technopole; Spoke 5; Multi-level Coordination

This work analyzes nuclear physics using the Princonser method, which is based on universal essence, universal principles, and universal laws. Through the Princonser analysis matrix, ten foundations, rules, and universal premises are explored to understand how energy and matter interact in nuclear processes. The development of the analysis is structured in specific arguments that link these concepts to practical applications in nuclear physics, from nuclear fusion and fission to radioactive decay. The conclusion highlights the unity between energy and matter and its relevance in the study of the universe.

This research delves into the transformative role of Artificial Intelligence (AI) in fostering sustainable technological advancements. As the urgency to address global environmental challenges intensifies, AI emerges as a pivotal catalyst for enhancing energy efficiency, optimizing resource management, and driving innovative solutions across critical sectors such as energy, healthcare, agriculture, and manufacturing. By integrating machine learning algorithms, data analytics, and predictive models, AI contributes to achieving global sustainability goals. This study explores AI’s contribution toward the United Nations Sustainable Development Goals (UN SDGs), highlighting key applications, the technological challenges faced, and offering policy recommendations. Through a combination of case studies, quantitative analysis, and literature review, the paper underscores AI's potential in shaping a greener, more sustainable future.

Keywords: Artificial Intelligence; Sustainable Development; Technological Innovation; Climate Risk Mitigation; SDGs; Smart Technologies; Predictive Analytics

First and foremost, we describe a new technique that uses eye movement to control the cursor. Certain solutions impose stringent constraints on individuals with motor impairments and depend on tangible objects such as mice or touchpads. Using eye-tracking technology, our method establishes a connection between human visual attention and computer interaction. We study the subtle gaze patterns that emerge, enabling both cursor control and the formation of an interaction context sense. Our approach converts gaze data into a cursor's movements. It is very adaptable and accurate. Because cursor motions are produced by the pattern of gaze movement, the interface is more dynamically accurate and behaviourally specific. The context- aware interface learns and adapts, maximizing efficiency through its adaptability. Furthermore, our study presents a novel strategy to provide an eye-controlled mouse system using software tools. This system accurately recognizes facial features and interprets eye movements through image processing techniques. The system enables intuitive cursor control by interpreting observable eye movements. Transforming eye motions into a cursor's actions enhances user accessibility and hands-free interaction; in other words, its performance is captured in the experimental analysis.

Keywords: Eye-controlled cursor interface; Visual tracking technology; Pattern analysis; Software tools; User accessibility; User-centric design; Adaptive systems