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    Children’s unscheduled primary and emergency care in Ireland: a multimethod approach to understanding decision making, trends, outcomes and parental perspectives (CUPID): project protocol

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    Introduction: The aim of this project is to determine the patterns, decision-making processes and parental preferences associated with unscheduled paediatric healthcare utilisation in Ireland. Unscheduled paediatric healthcare is outpatient care provided within primary care settings by general practitioners (GPs), emergency departments (EDs) located in paediatric and general hospitals, and out-of-hours services provided by cooperatives of GPs operating on a regional basis. This project will take a multimethod approach to analysing the utilisation of unscheduled paediatric healthcare nationally within the context of a significant change to the provision of healthcare for young children in Ireland-the introduction of free at the point of delivery GP care for all children aged under 6. Methods and analysis: A multimethod approach consisting of three work packages will be employed. Using patient-level data, work package 1 will describe patterns of attendance at primary care, out-of-hours medical services and at EDs. Applying a difference-in-difference methodology, the impact of the introduction of free GP care for children under 6 on attendance will be assessed. Work package 2 will explore geospatial trends of attendance at EDs, identifying disparities in ED attendance by local area and demographic characteristics. Work package 3 will employ two discrete choice experiments to examine parental preferences for unscheduled paediatric healthcare and GP decision making when referring a child to the ED. The insights gained by each of the work packages individually and collectively will inform evidence-based health policy for the organisation of paediatric care and resource allocation. Ethics and dissemination: Ethical approval for this research has been granted by University College Dublin, The Irish College of General Practitioners and the five participating hospitals. Results will be disseminated via publication in peer-reviewed journals, national and international conferences, and to relevant stakeholders and interest groups

    Interacting Anyons in One and Two Dimensions: Strong Zero Modes in Anyon Chains and Non-Abelian Anyons on a Torus

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    The work in this thesis is split into two distinct parts. The first focuses on the identification and construction of strong zero modes in non-abelian anyon chains. We show a Tambara-Yamagami chain is equivalent to a Zn chiral clock model. We then present numerical evidence for a strong zero mode in an SU(2)4 anyon chain. By rewriting the chain as an XXZ spin chain, we construct the zero mode explicitly in terms of spin operators. Finally, we write the zero mode in the diagrammatic formalism of anyons. In the second part, we construct a hopping model of non-abelian anyons on a torus. We demonstrate that that the model possesses a translational symmetry around each non-trivial torus loop. By calculating the level spacing statistics of the model, we show that the model is non-integrable for Fibonacci anyons, Ising anyons and abelian anyons. Lastly, we carry out the groundwork for a future project. We add local interactions between the anyons to the Hamiltonian. We then calculate the entanglement spectrum of a ground state of the system after cutting the torus into two cylindrical pieces. The low lying states of this spectrum have a linear dispersion relation for several systems we examined, suggesting the entanglement spectrum is described by a conformal field theory spectrum

    Beyond the Courtroom Door: Exploring the Feasibility of Child Protection Mediation in Ireland

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    In recent years, the Irish child protection and welfare system has witnessed an unprecedented level of increase in legislative and policy development. However, one area that remains relatively unexplored in Ireland is the use of alternative dispute resolution mechanisms, such as mediation, in child protection proceedings. By contrast, in other jurisdictions, such as in the United States of America and Canada, the incorporation of mediation within the child protection system has increasingly been advocated as a genuine alternative to wholly adversarial proceedings. Child protection mediation can provide parties with the opportunity to improve family communication, reduce high levels of conflict, avoid excessive litigation and reach a personalised agreement in the best interests of the child. Unfortunately, in Ireland, child protection mediation has not heretofore been fully explored or researched and a determination of its value in the protection of child safety and welfare has not been reached. Therefore, building on existing research regarding alternative dispute resolution processes, this thesis set out to explore the feasibility of child protection mediation in Ireland and the extent to which is could aid child safety and welfare. The research adopted a triangulated research methodology approach through the use of surveys, semi-structured interviews and structured observations. The thesis analysed data from three research phases: Phase 1 examined child protection mediation with national stakeholders and the Irish judiciary; Phase 2 examined systems operating in certain jurisdictions of the United States of America and Canada, in which child protection mediation is increasingly recognised as an invaluable mechanism; and Phase 3 determined the extent to which alternative dispute resolution mechanisms are currently being used in child welfare and protection disputes in Ireland. The key finding from the study was that the implementation of child protection mediation in Ireland could aid child welfare and improve the quality of decision-making in child protection cases. However, this thesis is not advocating that child protection mediation should be used in all child protection cases and, therefore, it should not be seen as a panacea. Rather, this thesis presents the reasoned, evidence-based argument for considering the use of mediation, in certain aspects of child protection proceedings

    Clustering Single-Cell Electropherograms by Genotype Through Unsupervised Machine Learning

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    Cells can be linked to the person who produced them by examining the information contained within their DNA. The challenge that a forensic analyst faces is to question whether a collection of cells obtained from a crime scene supports the hypothesis that a person of interest was present. The primary challenge is that cell samples collected at crime scenes typically contain material from an unknown number of genetic sources in an unknown mixture ratio. The standard genetic measurement protocol used in crime labs produces a single, combined signal for the entire collection of cells. If there are a small number of contributors, cells are in good condition, and the mixture ratio is not overly imbalanced, armed with this measurement, informative inference is possible for a trier of fact. If, however, the sample is complex, containing more than three genetic sources, or if the mixture ratio is highly imbalanced, or if genetic information within cells is degraded, the ability to confidently extract meaning from the measured signal is impaired. In high profile work published in the late 1990s it was demonstrated that genotype information could be extracted from individual cells. When used in a forensics context, single-cell methods offer a potential solution to the complex mixture problem by providing genetic information per-cell rather than solely for the whole collection. Advances in those mea- surement methods mean that single cell technologies may soon be practicable in crime labs. Significant challenges on the interpretation of the signals that result, however, re- main. Instead of having a single high dimensional signal to assess, the trier of fact now has one for each cell. In the present thesis we take one step towards enabling the res- olution of the complex mixture problem by proposing and assessing two methodologies that would facilitate the downstream analysis of genetic signal from a collection of single cells. Our goal is to query whether it is possible to use unsupervised machine learning to accurately and efficiently gather single cell signals into groups by genotype. If possible, it would greatly reduce the computational complexity of the evaluation of evidence and improve its accuracy. The results in this thesis suggest that this approach is viable and advances the potential of this societally important technology

    Climate Change Policy Narratives and Pastoralism in the Horn of Africa: New Concerns, Old Arguments?

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    While there is a growing body of knowledge on the effects of climatic and other forms of change on pastoralism in Africa, less is known about how recent policy responses and development interventions in the name of climate change and pastoral area development are shaped by certain discourses and narratives and by political interests. This is important because the simplifications that are often a characteristic of environmental policy narratives can fail to acknowledge the politicised nature of many environmental problems in local contexts. The pastoral drylands are no exception as claims to land and other resources remain contested by different actors. Through content and discourse analyses of national policies, supplemented by interviews with key informants, this research examines the discourses and narratives around pastoralism found within contemporary policy in Ethiopia and Kenya, the interests of actors and actor-networks shaping those narratives, and their consequences for pastoralism. The findings reveal that while concerns around climate change and calls for strengthening resilience of dryland communities have given a new impetus to pastoral development, old narratives that depict pastoral areas as unproductive and in need of modernisation remain deeply embedded in policy making. These open up spaces for the state, investors, and local elites to extend control over natural resources previously managed under customary institutions. The resultant climate policy solutions and dryland investments are, in turn, leading to new patterns of social differentiation and vulnerability among pastoralists. While providing some level of climate-risk preparedness, climate adaptation and resilience-building interventions on their own are insufficient to meet the needs of pastoralist communities. I argue that the extent and nature of dynamic change in the drylands of the HoA calls for political responses that address social inequities and power imbalances, that safeguard pastoralist’s resource rights, and that allow for more inclusive forms of governance

    Emerging out of the “blur”: exploration, evaluation and significance of 3D N-glycans’ structure through molecular dynamic studies

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    Glycosylation is the most abundant and diverse post-translational modification of proteins, contributing to protein folding, trafficking, structural stability and dynamics, and function. Complex N-glycans are a class of glycans found in eukaryotes, sharing a common pentasaccharide core structure. The functionalization of the arms and the branching patterns are specific to different species, while the complexity of the cellular biosynthetic pathways contribute to the broad variety and to the heterogeneity of N-glycan sequences. By understanding at an atomistic level of detail the structural implications of glycan sequence, we can relate the glycan sequence to its function in a given glycoprotein environment. With this ultimate goal in mind I conducted, through conventional and enhanced molecular dynamics (MD) methods, a series of systematic studies of mammalian, plant and invertebrate glycosylation patterns, in order to characterize the intrinsic 3D architecture of different sets of commonly found and synthetic (non-natural) glycan structures. From these results, we were able to disentangle the complexity of N-glycans structure and dynamics through a new 3D representation, which describes N- glycans not only in terms of the monosaccharides sequence, but that also includes anomeric configurations and linkage specificity. Within this framework, we defined N-glycans as structured by specific groups of monosaccharide units, named “glycoblocks”. This formulation incorporates 3D structural information and uniquely dictates the overall conformational landscape of any given N - glycan. With this expanded viewpoint of sequence-to-structure dependencies in complex N-glycans, we applie d this knowledge to glycoproteins, where variation of glycan composition affects its functiona l capabilities. In the two cases presented in this thesis, we determined how changes in the sequence of the N-glycans in the Fc region of IgG1 antibodies affect its effector function, and discovered for the first time a unique functional role of the glycan shield in the SARS-CoV-2 spike protein. In both cases, we observed that the conformational equilibria of complex N-glycans change to promote conformers that can accommodate interactions with the glycoprotein environment, but this adaption does not interfere with the intrinsic 3D glycan architecture, shifting a paradigm commonly assumed in structural biology, where the protein dictates the glycan conformation by actively morphing it. The work presented in this thesis shows an alternative atomistic perspective of N-glycans structure and dynamics, where glycans play a starring role rather than a cameo as a simple protein “decoration”, while the knowledge and insight gained could inform the ad-hoc design and modulation of sequence-to- structure-to-function relationships of complex N-glycans, with applications in glycoengineering and therapeutic and diagnostic strategies

    Studies of Integrable One-Dimensional Quantum Systems

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    In this thesis, I use the Bethe Ansatz (BA) to study various one-dimensional models. I first go through some background on the BA (both the coordinate and algebraic forms). I start the study by using the BA to compare bound state occurrences between the 2-particle XXZ, Bose–Hubbard, and Fermi– Hubbard models. In the next chapter, I introduce ‘quenches’ and use the BA in order to calculate quench overlaps in the Lieb–Liniger model. In the final chapter, I introduce the spatial von Neumann bipartite entanglement entropy and use the BA in order to calculate this entropy in the Lieb–Liniger model

    Shifting the Lens on Ethical Communications in Global Development: A Focus on NGDOs in Ireland

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    Concerns about the ways in which issues, peoples and places have been represented in global development (GD) communications have been raised since the 1980s. Criticisms have been levelled at media and non-governmental development organisations (NGDOs), including for their portrayal of colonial stereotypes, ‘us’ and ‘them’ binary relationships and identities, and their use of images of people in the ‘global South’ as undignified victims who are objects of aid. As communications are so central to all aspects of their work, NGDO representational practices can undermine their otherwise stated commitments to equality and solidarity, compromise their work in the area of public engagement, and threaten public trust leading to donor fatigue. With increasing calls for equality, diversity and inclusion (EDI) and the decolonisation of aid (Peace Direct, 2021), the question of whether NGDOs are part of the problem or the solution when it comes to their communications is coming more to the fore. To support improved communications practice in the context of these criticisms, NGDOs have developed and signed up to various codes of good practice. The Dóchas Code on Images and Messages (Dóchas Code) which was agreed among NGDOs in Ireland in 2007, is one such voluntary code. Through signing it, organisations commit to ethical communications based on the values of dignity, equality, fairness, solidarity and justice. They also commit to a range of principles including that their images and messages would reflect these values, that people and issues related to GD would be represented in context, and that NGDOs would avoid stereotyping, ensure that people could tell their own stories, and that they would conform to the highest standards of human rights in their communications. The ethical communications’ emphasis in the Dóchas Code is on these values and principles and what NGDOs do through their communications across organisations in relation to them. Drawing on the wider literature (see Section 1), in this report, ethical communications is understood to include how values and principles are reflected in NDGO representations of people, issues and situations, along with the practices, decision-making structures, power relations, cultures and assumptions which underpin and relate to them. Though many NGDOs in Ireland have become signatories to the Dóchas code since 2007, and it has been hailed as an example for how others might support ethical GD communications, in recent years formal resourcing of the Dóchas Code has waned, while the communications and GD contexts have shifted rapidly. In that context, it is important to understand how NDGOs in Ireland have responded to these changes in terms of their communications, and whether the Dóchas Code is still relevant, up-to-date enough, or sufficient to support ethical communications’ practice now, many years after its introduction

    I'm simply the best, better than all the rest: Narcissistic leaders and corporate fundraising success

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    We examine the relationship between leader grandiose narcissism, composed of admiration and rivalry, and corporate fundraising success in a sample of 2377 organizational leaders. To examine a large sample of leaders, we applied a machine-learning algorithm to predict leaders' personality scores based on leaders' Twitter profiles. We found that admiration was positively related to - while rivalry was negatively related to corporate fundraising success (in '000s). Analyses also showed that leader gender does not moderate this relationship, unlike initially expected. We discuss and compare our findings to previous work on narcissism and crowdfunding

    Model for predicting perception of facial action unit activation using virtual humans

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    Blendshape facial rigs are used extensively in the industry for facial animation of virtual humans. However, storing and manipulating large numbers of facial meshes (blendshapes) is costly in terms of memory and computation for gaming applications. Blendshape rigs are comprised of sets of semantically-meaningful expressions, which govern how expressive the character will be, often based on Action Units from the Facial Action Coding System (FACS). However, the relative perceptual importance of blendshapes has not yet been investigated. Research in Psychology and Neuroscience has shown that our brains process faces differently than other objects so we postulate that the perception of facial expressions will be feature-dependent rather than based purely on the amount of movement required to make the expression. Therefore, we believe that perception of blendshape visibility will not be reliably predicted by numerical calculations of the difference between the expression and the neutral mesh. In this paper, we explore the noticeability of blendshapes under different activation levels, and present new perceptually-based models to predict perceptual importance of blendshapes. The models predict visibility based on commonly-used geometry and image-based metrics

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