19684 research outputs found
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Self-ion-irradiation-induced grain formation in nickel
A series of experiments has been conducted in which thin foils containing large polycrystals of Ni (single crystals from the perspective of transmission electron microscopy) have been irradiated with 300 keV Ni ions at temperatures from 25° to 475°C. The aim was to examine the fundamental aspects of the build-up of extended defects in a “simple” system with no implantation of foreign species and without the likelihood of segregation, precipitation or formation of new phases. Experiments were carried out using the MIAMI-2 facility in which the development of radiation damage is observed (and recorded) whilst ion-irradiating in-situ in a transmission electron microscope. Surprisingly, all irradiations of the electrochemically-thinned foils of Ni resulted in the accumulation of dislocations to form low-angle grain boundaries such that single crystal material was converted into a series of grains, each typically less than 200 nm in width but generally more than 1 µm in length with the long axis approximately parallel to the edge of the foil. The early stages of this process have been modelled using Molecular Dynamics simulations and an interpretation of this process of radiation-induced grain-boundary formation is discussed in terms of the coupled effects of irradiation, temperature and stress induced by the radiation damage. The stress arises due to swelling in the thin irradiated region of the jet-polished specimens (with a wedge-shaped radial cross section) which is constrained by deeper-lying unirradiated material. The position in which a grain boundary forms is determined by the interaction of glisssile dislocations with the stress induced by the radiation-damaged layer and that from a neighbouring boundary.</p
Characterizing High-order Interactions between Eye Movement and Head Motion Variables in Augmented Reality-based Navigation Experience
The coordination of eye and head in visual scanning is a fundamental behavior of humans in everyday sensorimotor activities such as walking and navigation. Deep understanding of the spatiotemporal dynamics of this coordination behavior undoubtedly plays an important role for many fields. However, relatively little is known about the computational and high-order interactions between eye and head in visual scanning during sensorimotor tasks. In this paper, based on the utilization of a recent tool from information theory, Partial Information Decomposition PID, we quantify high-order components, namely uniqueness, redundancy, and synergy, in spatiotemporal interactions between eye movement and head motion time-series data during augmented reality-based navigation experience. To our knowledge, this is the first data-driven approach that leverages an information-theoretic tool to characterize high-order interactions involved in eye-head coordination during sensorimotor activities
Electric Spring Festival 2025:Experimental Short Film Screening
A curated selection of experimental short films.Brian R Donnelly / Saif Alsaegh / Ethann Néon / Polina Komyagina / Kateryna Ruzhyna / Sasha Waters / Josh Weissbach / Will De Ritter / Murat Boncuk / Dani Asti / Zsolt Gyenes / Sarah Turner / Methas Chantawongs / Soulat Camille / Ali Aschma
An Efficient Resource Allocation Model in IIoT Using Federated Reinforcement Learning
In the Industrial Internet of Things (IIoT), resource allocation is important for reducing downtime and improving the system's operational performance. This study introduces a novel federated reinforcement learning approach that addresses resource management difficulties by enabling several agents to learn optimum maintenance policies jointly while maintaining data privacy. According to the analysis and evaluation performed, the proposed technique has the potential for implementation in complex industrial contexts, with future work concentrating on integrating advanced predictive models and expanding the algorithm to include multi-objective optimization cases.</p
Book Review:The Possibility Machine: Music and Myth in Las Vegas Edited by Jake Johnson. Urbana, IL: University of Illinois Press, 2023
Impact of integrating guidelines into an antimicrobial stewardship smartphone application on outpatient antibiotic prescribing:a segmented interrupted time series analysis
Introduction: Antimicrobial stewardship (AMS) smartphone applications (apps) have been adopted to promote better antimicrobial prescribing practices. We aimed to evaluate the impact of incorporating an app on AMS metrics and adherence to a local antimicrobial guideline in an outpatient setting. Methods: A quasi-experimental, segmented interrupted time series design was used, involving three study phases (pre-intervention: 1st January 2020 to 31st December 2021; implementation: 1st January 2022 to 31st December 2022, and post-intervention: 1st January 2023 to 30th June 2024) in a hospital outpatient setting. The effect of introducing an AMS app incorporating local antimicrobial guidelines on AMS outcomes was measured. Results: A total of 24,424 patients were identified. As per the most simple model, the amounts of the following antibiotics, expressed as defined daily dose (DDD) per 100 patient visits, increased significantly during the post-intervention phase: azithromycin (co-efficient 0.297, p = 0.007), co-amoxiclav (co-efficient 2.608, p = 0.042), and nitrofurantoin (co-efficient 0.908, p = 0.003). The trend in fosfomycin use decreased significantly in the post-intervention phase (co-efficient −0.23., p < 0.001). Guideline adherence increased significantly after implementing the AMS app (trend change co-efficient 0.011, p < 0.001). These changes in antibiotic prescribing represent improved guideline adherence, and are aligned with WHO AWaRe categorisation recommendations. Conclusion: The app improved the utilization of antibiotic prescribing by increasing adherence to local antimicrobial guidelines, affirming its utility in augmenting AMS in outpatient settings.</p