4,266 research outputs found

    "Europe in Transformation: How to Reconstitute Democracy?"

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    Europeanization and globalization are frequently held to undermine national democracy; hence raising the democracy in the multi-level constellation that makes up the European Union? We present three models for how democracy can be reconstituted: (a) it can be reconstituted at the national level, as delegated democracy with a concomitant reframing of the EU as a functional regulatory regime; (b) through establishing the EU as a multi-national state based on a common identity(ies) and solidaristic allegiance strong enough to undertake collective action; or (c) through the development of a post-national Union with an explicit cosmopolitan imprint. These are the only viable models of European democracy, as they are the only ones that can ensure equal membership in a self-governing polity. They differ however with regard to both applicability and robustness

    Representation through deliberation-The European case

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    This article shows that the main pattern of European democratization has unfolded along the lines of an EU organized as a multilevel system of representative parliamentary government and not as a system of deliberative governance as the transnationalists propound. But the multilevel EU has developed a structure of representation that is theoretically challenging. In order to come to grips with this we present an institutional variant of deliberative theory, which understands democracy as the combination of a principle of justification and an organizational form. It comes with the following explanatory mechanisms: claimsmaking, justification and learning which in the EU also program institutional copying and emulation mechanisms. We show that the EU has established an incomplete system of representative democracy steeped in a distinct representation-deliberation interface, which has emerged through a particular and distinct configuration of democratization mechanisms

    Walkabout Activities

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    Postcard from Samantha O\u27Connor, during the Linfield College Semester Abroad Program at James Cook University in Cairns, Australi

    Building an Effective 21st Century Literacy Program

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    Fish egg- and larvae survey in the North Sea during March 2003

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    Pytracks: A Tool for Visualizing Fish Movement Tracks on Different Scales

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    A fundamental problem in conservation biology and fisheries management is the ability to make educated decisions based on the data collected. Fish populations and their spatial distributions need to be represented accurately for conversation efforts and management decisions. Methods such as modeling, surveying, and tracking can all be used to collect data on a particular fishery. To include the movement patterns in conservation and management, one needs to work with and process fish tracking data or data exported from fish movement simulation models. This data can often be difficult to process. This topic is becoming increasingly popular as technology to accurately track and log fish did not exist in the past. With all of this data being generated, real or simulated, tools need to be developed to efficiently process it all, as many do not exist. Pytracks attempts to fill a currently existing gap and help programmers who work with simulated and observed simulation data by allowing them to visualize and analyze their data more efficiently. Pytracks, as presented in this thesis, is a tool written in Python which wraps raw data files from field observations or simulation models with an easy to use API. This allows programmers to spend less time on trivial raw file processing and more time on data visualization and computation. The code to visualize sample data can also be much shorter and easier to interpret. In this thesis, pytracks was used to help solve a problem related to interpreting different movement algorithms. This work has a focus on fish movement models, but can also be relevant for any other type of animal if the data is compatible. Many examples have been included in this thesis to justify the effectiveness of pytracks. Additional online documentation has been written as well to show how to further utilize pytracks

    Registered Nurse Competencies and the Implementation of Self-Care Interventions Among Surgical Patients with Type Two Diabetes: A Quality Improvement Project

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    Background: Type 2 Diabetes is a chronic disease that requires a holistic approach, an in-depth understanding of self-care, education comprehension, and an effective relationship between healthcare professionals and the individual patient (Saeed et al., 2018). Due to a variety of factors such as increased nurse-to-patient ratios, inconsistent education methods, and limited confidence levels among registered nurses, important treatment measures and discussion of one’s T2DM diagnoses are often not addressed. Initiatives to improve education methods and nursing confidence levels will create more effective treatment measures and discharge education. Local Problem: Registered nurses spend minimal time educating patients on the severity of their disease and how to prevent further complications. A point-of-care education model was utilized to understand nursing barriers that prevent them from offering optimal T2DM education. The desired outcome of this intervention was to have registered nurses incorporate concrete diabetic education into individual patient care. Methods: The project used a plan-do-study-act (PDSA) strategy to gather information relating to post-surgical management of T2DM. A seven-question survey generated data on the top reasons why education was not initiated among patients. Intervention: Following data collection, a point-of-care discussion model was utilized so that nurses could privately discuss personal barriers to patient education. Qualitative data was shared which emphasized areas that nurses can improve upon and implement into daily education methods. The goal was to increase nursing competency levels during routine patient care and upon discharge. Results: Data showed that 72% of registered nurses said they were not comfortable talking about self-care interventions with patients diagnosed with T2DM. Conclusion: Further initiatives are needed to implement additional education for patients diagnosed with T2DM. Interdisciplinary collaboration is an important factor in increasing educational resources and enhancing nursing competence. Key Words: Health literacy, nursing competency, T2DM comorbidities, quality improvement, self-care measures, point-of-care education
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