DORA

DORA (De Montfort Open Research Archive) is De Montfort University's research repository. It forms the primary public and institutional record of DMU research outputs. The breadth of research at DMU means that these outputs include articles, conference papers, books, book chapters, and other material available in a digital form. The record for each item contains descriptive information as well as, where possible, a version of the final research output. DORA also provides access to DMU PhD theses. This includes most PhD produced from 2009 onwards.

 

Recent Submissions

ItemMetadata only
Two Duets with Occasion
(Shearsman, 2024-05-01) Perril, Simon
Perril’s new collection Two Duets with Occasion gathers two discrete works. ‘45 Days in the Company of Robert Walser’ turns to the Swiss modernist as guide to the inner workings of educational workplaces, and the lived experience of them. Alchemy, according to Jung, was a quest for individuation. Inhabiting Walser’s pioneering absurdist work exploring a school for servants, Perril finds alarming parallels between the transformative ‘suffering’ of metals in their journey to a higher state, and contemporary workplace rhetorics of self-development and transformation. Sun Deck Set Cogitation collapses the boundaries between reading and writing by playing with two texts by anthropologist Claude Lévi-Strauss. The first is a forensically detailed moment by moment account of a sunset written in 1935 while en route from Marseilles to Brazil; the second his account of a 1941 voyage escaping occupied France alongside fellow refugee André Breton. As Perril explains, ‘I inhabited Lévi-Strauss’s text like it was a ship’s deck I was walking across or around.’ The poet takes impetus from an early epiphany Lévi-Strauss had looking at the formal intricacy and structural play of dandelion seed heads that give rise to other forms. His poetic ‘treatment’ of the source texts scatter and recombine word-seeds in surprising combinations: blowing on a seed-head and spreading palimpsestic filaments.
ItemOpen Access
Cyberbullying and Cyber Aggression in Young People: A Mixed Methods Study
(De Montfort University, 2023-03) Smith, Emily
Cyberbullying is a conceptually flawed term, with issues surrounding its definition and measurement. The term cyber aggression was formulated to overcome many of these issues and provide a new and more inclusive way to investigate online aggressive behaviours. However, since its introduction researchers have been using these terms inconsistently and interchangeably, creating an additional issue with distinguishing between the two concepts. As there is an absence of research to explore this conceptual confusion, this thesis aimed to investigate whether the same confusion was evident within adolescents and emerging adults. The current research adopted an exploratory sequential mixed method design to further explore cyberbullying and cyber aggression by placing a greater emphasis on the initial qualitative phase to explore the phenomena of interest, and for the results of which to be used to guide the sequential phases. In accordance with this mixed methods design, this thesis has a three-phase design. Phase one included two focus group studies, that were conducted to explore the perceptions of cyberbullying and cyber aggression in adolescents and emerging adults. The key themes that were identified within each of these studies were built upon in the subsequent two phases. Within phase two, the focus group findings were used develop two scales. The Cyber Aggression on Social Media (CASM) scale was constructed to measure cyber aggression victimisation and perpetration. Within phase two, an additional novel scale was developed, the Cyberbullying and Cyber Aggression Knowledge Scale (CBCAK), to quantitatively measure participants knowledge and ability to distinguish between cyberbullying and cyber aggression. This phase also aimed to validate and the assess the psychometric properties of the CASM scale and pilot the CBCAK scale in emerging adults. The third and final phase aimed to further expand upon the focus group findings and to use the two newly developed scales to measure emerging adults’ knowledge of cyberbullying and cyber aggression, and to investigate whether social media related measures could predict cyber aggression. This phase also included three open-ended questions to further explore cyber aggression support and education that were thematically analysed. The findings of this thesis suggest that cyberbullying and cyber aggression are not only conceptually blurred within the literature, but confusion is also evident amongst young people. The participants found it difficult to distinguish between cyberbullying and cyber aggression and would often over characterise behaviours as cyberbullying. A lack of education and support targeted at emerging adults at university was another consistent finding throughout this thesis. The results also suggest that sufficient education and support should be made an importance within university services to help emerging adults to identify and better understand the wide range of aggressive behaviours online, in addition to providing advice around reporting and dealing with such behaviours. This was recommended to be implemented alongside adequate support avenues within universities to those who have experienced acts of cyber aggression.
ItemEmbargo
3DAttGAN: A 3D attention-based generative adversarial network for joint space-time video super-resolution
(IEEE, 2024-03) Fu, Congrui; Yuan, Hui; Shen, Liquan; Hamzaoui, Raouf; Zhang, Hao
Joint space-time video super-resolution aims to increase both the spatial resolution and the frame rate of a video sequence. As a result, details become more apparent, leading to a better and more realistic viewing experience. This is particularly valuable for applications such as video streaming, video surveillance (object recognition and tracking), and digital entertainment. Over the last few years, several joint space-time video super-resolution methods have been proposed. While those built on deep learning have shown great potential, their performance still falls short. One major reason is that they heavily rely on two-dimensional (2D) convolutional networks, which restricts their capacity to effectively exploit spatio-temporal information. To address this limitation, we propose a novel generative adversarial network for joint space-time video super-resolution. The novelty of our network is twofold. First, we propose a three-dimensional (3D) attention mechanism instead of traditional two-dimensional attention mechanisms. Our generator uses 3D convolutions associated with the proposed 3D attention mechanism to process temporal and spatial information simultaneously and focus on the most important channel and spatial features. Second, we design two discriminator strategies to enhance the performance of the generator. The discriminative network uses a two-branch structure to handle the intra-frame texture details and inter-frame motion occlusions in parallel, making the generated results more accurate. Experimental results on the Vid4, Vimeo-90K, and REDS datasets demonstrate the effectiveness of the proposed method. The source code is publicly available at https://github.com/FCongRui/3DAttGan.git.
ItemOpen Access
Statistical analysis of solar thermal collectors in the Solar Keymark Database
(2023-12-06) Summ, Thorsten; Oyinlola, M. A.; Khattak, Sanober; Trinkl, Christoph; Zorner, Wilfred
Experimental, analytical, or numerical investigations are ordinarily conducted to reveal optimisation potential for solar thermal collectors. At the same time, the ‘Solar Keymark Database’ contains more than 2,000 test reports from certified laboratories featuring properties including thermal efficiency, dimensions, or optical properties. This dataset offers untapped potential for statistical analyses as an alternative optimisation approach. Hence, this paper aims to provide a) the first statistical findings of solar thermal collector properties listed in the Solar Keymark Database and b) insights into statistical relations between these properties. The key correlations observed from the analysis of flat-plate collectors were between efficiency and both gross height (R=0.30) and gross area (R=0.27). We concluded that preferable collector designs may be featured with larger area to height ratios. The analyses of evacuated tube collectors revealed a strong correlation between efficiency and transversal incidence angle modifier (R=-0.65) as a result from different tube spacing. It was noticeable that the quasi-dynamic test method reported significantly higher efficiencies (7.14 percentage points) for evacuated tube collectors, which should be carefully considered for future test procedures. Overall, the statistical analysis was in accordance with conventional bottom-up analyses and revealed insightful dependencies for the present collector data.
ItemMetadata only
A long shot: Will disabled people ever be treated equitably by the film and TV industry?
(Sociological Review Foundation, 2024-02-06) Lee, Jason