17837 research outputs found
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A Dialogue with Walter Meierjohann on Theatre, Installation, and Binaural Sound
Get PDFThis dialogue explores the possibilities of binaural sound for contemporary theatre making and museum curation, situating sonic modes of practice in relation to particular formal experimentations demanded by the context of pandemic and exemplified by the international touring production of Blindness first staged at the Donmar Warehouse in London in 2020, and directed by Walter Meierjohann. The discussion between Meierjohann and Georgina Guy opens up the potential of sound installation as an apposite form through which to challenge visual-centric cultures of production and stage particular political and theatrical challenges, related to ideas of community and responsibility, and imagination, collaboration, and collective experience
Optomechanically Induced Transparency/Absorption in a 3D Microwave Cavity Architecture at Ambient Temperature
Get PDFLeveraging advancements in cavity optomechanics, we explore Optomechanically Induced Transparency/Absorption (OMIT/OMIA) in the microwave domain at ambient temperature. Contrary to previous studies employing cryogenic temperatures, this work exploits a 3D microwave cavity architecture to observe these effects at ambient temperature, broadening the scope of possible applications. The work successfully enhances the optomechanical coupling strength, enabling observable and robust OMIT/OMIA effects, and demonstrating up to 25 dB in signal amplification and 20 dB in attenuation. Operating in the unresolved sideband regime enables tunability across a wider frequency range, enhancing the system’s applicability in signal processing and sensing. The findings herein highlight the potential of optomechanical systems, presenting a simplified, cost-effective, and more feasible approach for applications at ambient temperature
The Pedagogical Benefits of Sensory Archaeology:A Case Study on Roman Britain
Get PDFArchaeology, by its very nature, is a highly sensorial discipline. Teaching archaeology should be equally sensorially engaging. However, modern higher education prioritizes the visual and the auditory, and while handling sessions, laboratory work, and site visits are often part of a standard archaeology degree, they vary heavily based on departmental and student resources. At the same time, archaeology is in something of a crisis, tackling a lack of diversity, reduced funding, and a deep legacy of colonialism. This article demonstrates how the incorporation of the theories and methods of sensory archaeology into higher education curriculum can add sensorial density to a degree, enhance research, and at the same time help alleviate some of our current crises. As the first paper to explore the use of sensory archaeology in university education, it also makes an important contribution to the rather limited field of archaeological pedagogical research
Ground-Based Mobile Measurements to Track Urban Methane Emissions from Natural Gas in 12 Cities across Eight Countries
Get PDFVideo deepfake detection using Particle Swarm Optimization improved deep neural networks
Get PDFAs complexity and capabilities of Artificial Intelligence technologies increase, so does its potential for misuse. Deepfake videos are an example. They are created with generative models which produce media that replicates the voices and faces of real people. Deepfake videos may be entertaining, but they may also put privacy and security at risk. A criminal may forge a video of a politician or another notable person in order to affect public opinions or deceive others. Approaches for detecting and protecting against these types of forgery must evolve as well as the methods of generation to ensure that proper information is supplied and to mitigate the risks associated with the fast evolution of deepfakes. This research exploits the effectiveness of deepfake detection algorithms with the application of a Particle Swarm Optimization (PSO) variant for hyperparameter selection. Since Convolutional Neural Networks excel in recognizing objects and patterns in visual data while Recurrent Neural Networks are proficient at handling sequential data, in this research, we propose a hybrid EfficientNet-Gated Recurrent Unit (GRU) network as well as EfficientNet-B0-based transfer learning for video forgery classification. A new PSO algorithm is proposed for hyperparameter search, which incorporates composite leaders and reinforcement learning-based search strategy allocation to mitigate premature convergence. To assess whether an image or a video is manipulated, both models are trained on datasets containing deepfake and genuine photographs and videos. The empirical results indicate that the proposed PSO-based EfficientNet-GRU and EfficientNet-B0 networks outperform the counterparts with manual and optimal learning configurations yielded by other search methods for several deepfake datasets
Measuring Paranoid Beliefs in Adolescents:A Comparison of the Revised-Green et al.’s Paranoid Thoughts Scale (R-GPTS) and the Bird Checklist of Adolescent Paranoia (B-CAP)
Get PDFResearch on paranoid beliefs in adolescents is in its infancy. Valid and reliable assessments are essential to advancing the field, yet there is no current consensus as to which are optimal to use in this population. This study compared the psychometric properties of two measures of paranoia in a general population adolescent sample. A cross-sectional study with quota sampling (gender and age) recruited adolescents (14-17 years) from the UK (n=262) and USA (n=200), who completed the Revised Green et al. Paranoid Thoughts Scale (R-GPTS) and the Bird Checklist for Adolescent Paranoia (B-CAP). We assessed factor structures, intercorrelations, overlap of participants identified as at-risk for paranoid thoughts via both scales, convergent validity (scales with one another) and discriminant validity (distress, wellbeing, bullying and discrimination). Both scales performed equally well in terms of factorial validity. Intercorrelations between the subscales and with general distress were high for both measures. However, a substantial percentage of participants were identified as having paranoid beliefs according to the R-GPTS but not the B-CAP. Furthermore, the B-CAP showed a very high correlations (0.69≤r≤0.79) with self-reported bullying experiences, which bordered on multicollinearity. Findings highlight the possibility that B-CAP may risk confounding paranoid beliefs with exposure to bullying more so than R-GPTS, and that B-CAP may miss instances of elevated paranoia that are captured by the R-GPTS. Future research needs to further explore this by validating both scales with an external (e.g., interview-based) criterion for paranoia
'Formalistic Freaks in Music':'Ilya Golovin', Shostakovich, and Zhdanovshchina for the Masses
Get PDFAmidst all the art, literature, music, and theatre of the ‘Zhdanovshchina’ (the post-war Soviet intervention in arts policy), one play stands out: Sergei Mikhalkov’s Ilya Golovin. In this play, a leading Soviet composer is chastised for his formalism but sees the error of his ways and again writes music of sufficiently socialist character. Ilya Golovin is noteworthy not just because it presents a crude parody of Shostakovich and his music, but because it reveals the wider context of the ideological campaign against artists and shows us something of how different artists responded. In this article, I argue that Ilya Golovin is not simply a bizarre example of multiple artists toeing the ideological line: instead it reveals the uglier side of late Stalinism in the form of vehement anti-Semitism, as well as demonstrating the xenophobic Cold War patriotism that served as the ultimate motivation behind the Zhdanovshchina itself
Diagnostic accuracy of autofluorescence-Raman spectroscopy for surgical margin assessment during Mohs micrographic surgery of basal cell carcinoma
Get PDFAutofluorescence (AF)-Raman spectroscopy has been shown to identify residual basal cell carcinoma (BCC) on frozen skin specimens and fresh skin specimens immediately after excision by Mohs surgery. This first diagnostic test of accuracy of AF-Raman on 130 full-face Mohs tissue layers (130 patients) shows that with improvement in tissue processing, the AF-Raman instrument is viable technique for intra-operative assessment of surgical margins
Non-disjoint strong external difference families can have any number of sets
Get PDFStrong external difference families (SEDFs) are much-studied combinatorial objects motivated by an information security application. A well-known conjecture states that only one abelian SEDF with more than 2 sets exists. We show that if the disjointness condition is replaced by non-disjointness, then abelian SEDFs can be constructed with more than 2 sets (indeed any number of sets). We demonstrate that the non-disjoint analogue has striking differences to, and connections with, theclassical SEDF and arises naturally via another coding application
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