966 research outputs found

    Flood dynamics derived from video remote sensing

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    Flooding is by far the most pervasive natural hazard, with the human impacts of floods expected to worsen in the coming decades due to climate change. Hydraulic models are a key tool for understanding flood dynamics and play a pivotal role in unravelling the processes that occur during a flood event, including inundation flow patterns and velocities. In the realm of river basin dynamics, video remote sensing is emerging as a transformative tool that can offer insights into flow dynamics and thus, together with other remotely sensed data, has the potential to be deployed to estimate discharge. Moreover, the integration of video remote sensing data with hydraulic models offers a pivotal opportunity to enhance the predictive capacity of these models. Hydraulic models are traditionally built with accurate terrain, flow and bathymetric data and are often calibrated and validated using observed data to obtain meaningful and actionable model predictions. Data for accurately calibrating and validating hydraulic models are not always available, leaving the assessment of the predictive capabilities of some models deployed in flood risk management in question. Recent advances in remote sensing have heralded the availability of vast video datasets of high resolution. The parallel evolution of computing capabilities, coupled with advancements in artificial intelligence are enabling the processing of data at unprecedented scales and complexities, allowing us to glean meaningful insights into datasets that can be integrated with hydraulic models. The aims of the research presented in this thesis were twofold. The first aim was to evaluate and explore the potential applications of video from air- and space-borne platforms to comprehensively calibrate and validate two-dimensional hydraulic models. The second aim was to estimate river discharge using satellite video combined with high resolution topographic data. In the first of three empirical chapters, non-intrusive image velocimetry techniques were employed to estimate river surface velocities in a rural catchment. For the first time, a 2D hydraulicvmodel was fully calibrated and validated using velocities derived from Unpiloted Aerial Vehicle (UAV) image velocimetry approaches. This highlighted the value of these data in mitigating the limitations associated with traditional data sources used in parameterizing two-dimensional hydraulic models. This finding inspired the subsequent chapter where river surface velocities, derived using Large Scale Particle Image Velocimetry (LSPIV), and flood extents, derived using deep neural network-based segmentation, were extracted from satellite video and used to rigorously assess the skill of a two-dimensional hydraulic model. Harnessing the ability of deep neural networks to learn complex features and deliver accurate and contextually informed flood segmentation, the potential value of satellite video for validating two dimensional hydraulic model simulations is exhibited. In the final empirical chapter, the convergence of satellite video imagery and high-resolution topographical data bridges the gap between visual observations and quantitative measurements by enabling the direct extraction of velocities from video imagery, which is used to estimate river discharge. Overall, this thesis demonstrates the significant potential of emerging video-based remote sensing datasets and offers approaches for integrating these data into hydraulic modelling and discharge estimation practice. The incorporation of LSPIV techniques into flood modelling workflows signifies a methodological progression, especially in areas lacking robust data collection infrastructure. Satellite video remote sensing heralds a major step forward in our ability to observe river dynamics in real time, with potentially significant implications in the domain of flood modelling science

    Researching animal research: What the humanities and social sciences can contribute to laboratory animal science and welfare

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    Every year around 80 million scientific procedures are carried out on animals globally. These experiments have the potential to generate new understandings of biology and clinical treatments. They also give rise to ongoing societal debate.This book demonstrates how the humanities and social sciences can contribute to understanding what is created through animal procedures - including constitutional forms of research governance, different institutional cultures of care, the professional careers of scientists and veterinarians, collaborations with patients and publics, and research animals, specially bred for experiments or surplus to requirements.Developing the idea of the animal research nexus, this book explores how connections and disconnections are made between these different elements, how these have reshaped each other historically, and how they configure the current practice and policy of UK animal research

    Running to Your Own Beat:An Embodied Approach to Auditory Display Design

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    Personal fitness trackers represent a multi-billion-dollar industry, predicated on devices for assisting users in achieving their health goals. However, most current products only offer activity tracking and measurement of performance metrics, which do not ultimately address the need for technique related assistive feedback in a cost-effective way. Addressing this gap in the design space for assistive run training interfaces is also crucial in combating the negative effects of Forward Head Position, a condition resulting from mobile device use, with a rapid growth of incidence in the population. As such, Auditory Displays (AD) offer an innovative set of tools for creating such a device for runners. ADs present the opportunity to design interfaces which allow natural unencumbered motion, detached from the mobile or smartwatch screen, thus making them ideal for providing real-time assistive feedback for correcting head posture during running. However, issues with AD design have centred around overall usability and user-experience, therefore, in this thesis an ecological and embodied approach to AD design is presented as a vehicle for designing an assistive auditory interface for runners, which integrates seamlessly into their everyday environments

    Drones, Signals, and the Techno-Colonisation of Landscape

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    This research project is a cross-disciplinary, creative practice-led investigation that interrogates increasing military interest in the electromagnetic spectrum (EMS). The project’s central argument is that painted visualisations of normally invisible aspects of contemporary EMS-enabled warfare can reveal useful, novel, and speculative but informed perspectives that contribute to debates about war and technology. It pays particular attention to how visualising normally invisible signals reveals an insidious techno-colonisation of our extended environment from Earth to orbiting satellites

    How to describe a cell: a path to automated versatile characterization of cells in imaging data

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    A cell is the basic functional unit of life. Most ulticellular organisms, including animals, are composed of a variety of different cell types that fulfil distinct roles. Within an organism, all cells share the same genome, however, their diverse genetic programs lead them to acquire different molecular and anatomical characteristics. Describing these characteristics is essential for understanding how cellular diversity emerged and how it contributes to the organism function. Probing cellular appearance by microscopy methods is the original way of describing cell types and the main approach to characterise cellular morphology and position in the organism. Present cutting-edge microscopy techniques generate immense amounts of data, requiring efficient automated unbiased methods of analysis. Not only can such methods accelerate the process of scientific discovery, they should also facilitate large-scale systematic reproducible analysis. The necessity of processing big datasets has led to development of intricate image analysis pipelines, however, they are mostly tailored to a particular dataset and a specific research question. In this thesis I aimed to address the problem of creating more general fully-automated ways of describing cells in different imaging modalities, with a specific focus on deep neural networks as a promising solution for extracting rich general-purpose features from the analysed data. I further target the problem of integrating multiple data modalities to generate a detailed description of cells on the whole-organism level. First, on two examples of cell analysis projects, I show how using automated image analysis pipelines and neural networks in particular, can assist characterising cells in microscopy data. In the first project I analyse a movie of drosophila embryo development to elucidate the difference in myosin patterns between two populations of cells with different shape fate. In the second project I develop a pipeline for automatic cell classification in a new imaging modality to show that the quality of the data is sufficient to tell apart cell types in a volume of mouse brain cortex. Next, I present an extensive collaborative effort aimed at generating a whole-body multimodal cell atlas of a three-segmented Platynereis dumerilii worm, combining high resolution morphology and gene expression. To generate a multi-sided description of cells in the atlas I create a pipeline for assigning coherent denoised gene expression profiles, obtained from spatial gene expression maps, to cells segmented in the EM volume. Finally, as the main project of this thesis, I focus on extracting comprehensive unbiased cell morphology features from an EM volume of Platynereis dumerilii. I design a fully unsupervised neural network pipeline for extracting rich morphological representations that enable grouping cells into morphological cell classes with characteristic gene expression. I further show how such descriptors could be used to explore the morphological diversity of cells, tissues and organs in the dataset

    Persons with autism and persons with ADHD : the need to understand and improve services for families in Malta

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    Persons diagnosed with autism, or Autism Spectrum Disorder (ASD) and/or Attention Deficit Hyperactivity Disorder (ADHD) are often reported to perform significantly low in overall wellbeing when compared to their neurotypical counterparts (van Heijst & Geurts, 2015; Meier et al., 2011). With active participation in society considered to be a key factor surrounding wellbeing (Askari et al., 2015), it comes as no surprise therefore that the reduced levels of involvement reported in areas such as social engagement, education, and leisure may be major contributors to this (Deserno et al, 2016). Over the years, Malta has made considerable shifts towards the recognition of certain rights when it comes to disability, although negative attitudes still exist, both from the general public, as well as professionals (Cardona, 2013). This study therefore sought to understand the experiences of those living with autism and/or ADHD in the local scenario, looking into how current support structures impact their livelihood. Using a mixed-method approach involving quantitative and qualitative data collection strategies, this study sought to highlight insider voices, attempting to ‘take stock’ of the status of the evidence base, listening to the voices of those concerned and their experiences with local services and within the wider local community as a whole, identifying any gaps in services or data along the way. The findings of this study indicate that locally, persons living with autism and/or ADHD, encounter challenges throughout their development from children into adulthood which considerably impact their performance and consequently their wellbeing. A number of areas for development were identified. The services surrounding the attainment of a diagnosis for instance, were found to be typically carried out professionally in the case of those flagged at early years, however, were severely lacking when it came to adults. Moreover, a vast majority (80%) of adult service user participants in the study had received their diagnosis during adulthood, exposing a local picture where diagnoses are not being made early enough, leading to individuals facing foundation schooling and critical years without the necessary support. Although services users who are being diagnosed as adults may have faced a different situation when they were of school age, since these conditions were less known and there was less awareness, nevertheless, caregivers are still reporting that there are instances where they know that there is a condition but find it hard to access a diagnosis as they are told to wait until the child is older. Support services and referrals for treatment offered following diagnosis were also found to be severely lacking, with 91% of service user respondents and 6 82% of caregiver participants not having received any services or information after receiving their diagnosis. Encouraging achievements within the educational and employment realm were observed, however areas for improvement still remain, with finding indicating this may be more so the case for those living with autism. Levels of dissatisfaction with services were reported across large numbers of participants with the highest ranked dissatisfaction expressed towards how well services were connected amongst each other, followed by access to services following diagnosis. Several lamented long waiting lists, lack of trained professionals and infrequency and inconsistency across public services provided. In addition to this, over 70% of participants reported being dissatisfied with the prospects for lifelong fulfilment, accompanied by concerns about services not catering for different age groups, particularly adolescence and even more so adulthood. These findings were also echoed in data gathered from service providers, who in the larger part, shared that there were waiting lists associated with the provision of their services – in some cases, of even more than 13 months. A review of the services provided amongst participating service providers also reflected the critical reduction in services available for adults when compared to younger ages. Amongst service providers, the largest challenge in offering services both for ASD and ADHD was lack of trained professionals. These include a range of services, such as occupational therapy, speech therapy, behaviour specialists, health and educational services as well as social services, amongst others. Over the years, valuable developments have been achieved when it comes to Malta catering for the needs of all of its citizens, including those living with ADHD or ASD. The views and experiences discussed in this study have brought several commendations for milestones reached and have also highlighted several others that still need to be worked as a society towards. Ultimately, awareness and understanding across the different strata and branches of society is at the base of making these developments possible. The study concludes with a list of recommendations proposed for the enhanced wellbeing of those living with these conditions and society at large. These include, amongst others, recommendations for policy, such as the creation of a one-stop shop for provision of services, the introduction of quiet rooms in places such as hospitals and schools, the incentivising of youngsters to undertake studies related to disability in order to enrich the local pool of professionals, and the involvement of diagnosed individuals in decision-making processes. Recommendations for further research are also laid out, such as investigating gender differences related to ASD and ADHD, where females are typically underdiagnosed, or further examining the findings of this study by looking into ASD and ADHD separately to bring more insight into, for instance, findings related to the educational and employment attainments for these groupsnon peer-reviewe
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