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Validation-Aware Surrogate Shortlisting for Biomedical Microwave Imaging : Analytical Performance and FDTD Transfer
(2026-08) Wang, Lulu; Department of Engineering
Broadband antenna, frequency and channel selection requires efficient prioritisation of finite candidate configurations, yet strong surrogate performance within a simplified analytical model does not ensure that the learned ordering will transfer to another electromagnetic representation. This study developed a validation-aware surrogate-shortlisting framework using a controlled breast-mimetic benchmark comprising 120 scenarios and 80 antenna–frequency–channel candidates per scenario. Surrogate models were developed using grouped scenario-level validation, and the model and five-candidate shortlist policy were frozen before external evaluation. Random forest produced the lowest-regret analytical-domain shortlist and remained stable across model-initialisation seeds. The frozen ranking was then challenged on held-out scenarios using a separately implemented restricted two-dimensional transverse-magnetic finite-difference time-domain model. Although numerical-reference checks supported shortlist-level use of the operational grid, candidate ordering did not transfer reliably: optimum inclusion, shortlist agreement and rank association were weak, although a qualified candidate within 2 mm of the finite-library FDTD optimum was retained in 58.3% of cases. Transfer failure varied by frequency band and channel family, while incomplete alignment between the analytical and FDTD candidate libraries prevented attribution of the discrepancy to electromagnetic-model shift alone. The framework therefore positions analytical surrogates as auditable shortlisting tools that reduce downstream candidate-level assessment while retaining independent electromagnetic evaluation before final design selection.
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Uncertainty Aware-Predictive Control Barrier Functions : Safer human–robot interaction through probabilistic motion forecasting
(2026-03) Busellato, Lorenzo; Cunico, Federico; Dall'Alba, Diego; Emporio, Marco; Giachetti, Andrea; Muradore, Riccardo; Cristani, Marco
To enable flexible, high-throughput automation in settings where people and robots share workspaces, collaborative robotic cells must reconcile stringent safety guarantees with the need for responsive and effective behavior. A dynamic obstacle is the stochastic, task-dependent variability of human motion: when robots fall back on purely reactive or worst-case envelopes, they brake unnecessarily, stall task progress, and tamper with the fluidity that true Human–Robot Interaction (HRI) demands. In recent years, learning-based human-motion prediction has rapidly advanced, although most approaches produce worst-case scenario forecasts that often do not treat prediction uncertainty in a well-structured way, resulting in over-conservative planning algorithms, limiting their flexibility. This paper introduces Uncertainty-Aware Predictive Control Barrier Functions (UA-PCBFs), a unified framework that fuses probabilistic human hand motion forecasting with the formal safety guarantees of Control Barrier Functions (CBFs). In contrast to CBFs and other variants, our framework allows for a dynamic adjustment of the safety margin thanks to the human motion uncertainty estimation provided by the deep-learning forecasting module. Thanks to the awareness of prediction uncertainty, UA-PCBFs empower collaborative robots with a deeper understanding of future human states, facilitating more fluid and intelligent interactions through informed motion planning. Our key contribution is the first integration of epistemic prediction uncertainty directly into predictive CBFs, dynamically adjusting safety margins based on forecast confidence without assumptions about uncertainty evolution. We validate UA-PCBFs through comprehensive real-world experiments with an increasing level of realism, including automated setups (to perform exactly repeatable motions) with a robotic hand and direct human–robot interactions (to validate promptness, usability, and human confidence). Relative to state-of-the-art HRI architectures, UA-PCBFs show better performance in task-critical metrics, significantly reducing the number of violations of the robot's safe space during interaction with respect to the state-of-the-art. Data and code will be released upon acceptance.
Verk
Ultra-wideband absorber design based on Sprott (2014) chaotic system for high-performance microwave applications
(2026-03) Oral, Mertcan; Teksen, Fikret Alpay; Colak, Berker; Bakir, Mehmet; Koksal, Ahmet Sertol; Karadag, Faruk; Wang, Lulu; Karaaslan, Muharrem; Department of Engineering
This study presents an analysis of the Sprott (Phys. Lett. A378 1361–1363, 2014) chaotic patterned electromagnetic absorber, which exhibits a broadband band absorption rate in the range of 2–20 GHz. The application studies commenced with an analysis of the parameters of the Sprott (2014) chaotic attractor, resulting in the generation of three-dimensional plane images. Given that the z-plane has a standard thickness of 0.035 mm in the electromagnetic absorber to be designed, the three-dimensional images obtained were processed with various iterations in the Julia fractal and transformed into two-dimensional patterns. These patterns were then examined in the simulation environment to assess the electromagnetic absorption of the patterns. In the design of the electromagnetic absorber, the chaotic patterns have been defined as copper with a standard thickness of 0.035 mm, and Magtrex 555, which exhibits frequency-dependent permeability, was selected as the substrate. In order to achieve the maximum absorption value, the back layer of the electromagnetic absorber structure was coated with copper sheet. This study examines the impact of the design parameters, including substrate thickness, absorber size, and substrate type, on the absorption rate of the electromagnetic absorber through a parametric analysis. The operational methodology of the proposed structure was elucidated through an examination of the electric field and surface current distributions at various resonant frequencies. The characteristics of the Sprott (2014) chaotic patterned electromagnetic absorber were subjected to a comprehensive analysis, which reveals its potential for integration into a multitude of contemporary applications. Notably, this study marks the inaugural application of the Sprott (2014) chaotic method in the design and optimization of a metamaterial absorber, thereby contributing a novel perspective to the existing literature on the subject.
Verk
Judged By the Gods: Crisis Management and Resolution in Old Norse Mythology
(Trivent Publishing, 2026-10) Lummer, Felix; Taggart, Declan; School of Humanities (UI); Hugvísindasvið (HÍ)
Divine assemblies in Old Norse Religion play a considerable role in addressing mythological crises, be they eschatological or political, external or internal to the gods. This chapter explores divine þing in Old Norse mythology, emphasising the role of these assemblies in navigating and resolving crises like ragnarǫk. Attention is given to the apparent gender dynamics of divine þing and especially how alternation between collective participation and division along gender lines reflects societal understandings of (active) þing participation. Lastly, this examination highlights how these mythological assemblies demonstrate and shape attitudes regarding inclusion, communication and decision-making within Norse culture.
Verk
The experiences and engagement patterns of young adults who regularly view gambling livestreams : a qualitative interview study
(2026) Hughes, Chelsea; Torrance, Jamie; Dymond, Simon; Dighton, Glen; Department of Psychology
Background: Gambling livestreams, where content creators broadcast themselves engaging with various gambling products, represent an emergent form of both digital entertainment and gambling promotion. Research has recently begun to highlight the motivations for viewership and its associations with gambling behavior/severity. However, qualitative inquiry into engagement experiences and ascribed value is needed to extend existing findings and provide deeper insights into the underlying processes that drive viewership. Method: Semi-structured interviews were conducted with 15 young adults from the UK who regularly viewed gambling livestreams. The interviews addressed experiences of gambling livestreams, motivations for viewership, structural feature engagement, and perceived impacts. Qualitative data were audio recorded, transcribed, and thematically analyzed via an interpretivist epistemology. Results: Three main themes were identified: ‘Social experiences and vicarious excitement’ highlighted how viewers were drawn to gambling streamers’ personalities via parasocial relationships. Thrills were derived from streams that broadcasted high stakes gambling scenarios. ‘Interactivity and building loyalty’ revealed how gamified structural characteristics transformed passive viewing into active community-based participation during livestreams. ‘The urge and harm paradox’ demonstrated participants using livestreams to reduce gambling urges while simultaneously experiencing heightened urges to gamble. Increased gambling participation was reported as a result of gambling livestream viewership and streamers’ deceptive marketing tactics were recognized. Conclusions: Gambling livestreams are highly valued among those who regularly view them. They represent a complex digital phenomenon that simultaneously entertains and potentially harms audiences. These findings emphasize the need for broader regulatory frameworks and protective measures to address the emerging risks posed by digital gambling landscapes.

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