132 research outputs found
Creating a Knowledge Base: Analyzing a Veteran Reference Librarian's Brain
Virtual reference transactions provided a solution to a knowledge-management problem at the NASA Goddard Space Flight
Center Library. Online reference services, real-time and e-mail, allow for the development of a knowledge base. One hundred e-mail question-and-answer pairs were analyzed to reveal the steps taken and the sources used by a soon-to-retire librarian. A guide to the information sources and producers at Goddard was created. Given the dynamic nature of information at Goddard, a database built on the Apache, MySQL, PHP (AMP) open source platform was designed for the guide. The resource is now dynamic and can continue to grow with input from all
Goddard's librarians
Asymptomatic schwannoma of the heart
We present a case of an asymptomatic right atrial mass detected on a screening ECHO. Pre-operative imaging and intraoperative frozen section suggested an atrial myxoma, but the extracardiac nature of the mass and its adherence to the right superior pulmonary vein and interatrial septum were inconsistent with this. Detailed histological assessment confirmed the diagnosis of atrial schwannoma. Limited case reports have shown complete resection is curative
Understanding the disparity of educational attainment: the role of socio-demographic and school-level factors on GCSE attainment in Northern Ireland.
Educational attainment disparities across social groups remain at the forefront of contemporary UK society. Despite this, Northern Ireland reflects a somewhat different context to the rest of the UK due to its transition to a post-conflict society and its dually selective education system (academically and religiously). In Northern Ireland, post-primary (GCSE) attainment differences are often reported according to gender, religious affiliation and socio-economic background. However, due to the lack of available education data that encompasses a wide range of pupil- and school-level factors, discourse informed by the statistical testing of such factors has been limited. This study aims to overcome this current gap by examining the effects of socio-demographics, namely gender, religious affiliation and socio-economic background (through eight measures), and school-level factors on GCSE attainment, using the first linked administrative dataset for education in Northern Ireland. The data combined the household Census (2011) with the School Census (2010-2014) and School Leavers Survey (2010-2014) for the first time in Northern Ireland. To this end, this paper discusses data analytics of the study including data linkage, cohort size, constructed GCSE attainment measures, socio-demographic measures and school-level factors. The multilevel modelling (including interaction models) construction, execution and results will also be discussed. The paper concludes with a reflection upon whether the results of this analysis support existing literature in the Northern Ireland context and wider UK GCSE attainment trends
Understanding the disparity of educational attainment in Northern Ireland: The role of socio-demographic and school-level factors on GCSE attainment.
Objectives
This study examined the individual and collective impacts of socio-demographics and school-level factors on GCSE outcomes in Northern Ireland, using linked administrative data. A pupil’s sex, religious affiliation and socio-economic background (measured by eight measures) were examined, along with parental socio-economic background, attended school type (grammar/non-grammar) and school management structure.
Method
This study used the first linked administrative dataset for education in Northern Ireland. The dataset linked the 2011 household Census, School Leavers Survey (2010-2014) and School Census (2010-2014) for the first time. Data were provided for three pupil cohorts who completed their GCSE examinations in consecutive academic years (2010/2011 – 2012/2013).
The study conducted multilevel models to understand the nested effects of pupil-, household- and school-level factors on GCSE attainment outcomes. Interaction models were also executed to examine the multiplicative effects of a pupil’s sex, religious affiliation and socio-economic background on their educational attainment.
Results
The findings of this study highlight that the impact of socio-economic status is multidimensional, with some measures having a greater impact on GCSE attainment than others. For example, a mother’s education qualifications had the largest impact of socio-economic measures included in the multilevel models. The analysis also found that Free School Meal Eligibility remains an important predictor of attainment outcomes. When considering pupils’ sex, females had higher GCSE attainment scores than males. However, religious affiliation had a varied influence on GCSE outcomes, indicating the need for a more nuanced approach when considering this factor. The importance of interaction terms to gain an in-depth understanding of the multiplicative effect of factors on attainment outcomes was also highlighted in the analysis.
Conclusion
Through the use of linked administrative data, this study highlights the hierarchy of socio-economic effects on GCSE attainment outcomes in Northern Ireland. It also highlights the importance of collectively considering the factors that make up a pupil’s demographic profile to garner a holistic understanding of attainment trends in Northern Ireland
Separating Mesoscale and Submesoscale Flows from Clustered Drifter Trajectories
Drifters deployed in close proximity collectively provide a unique observational data set with which to separate mesoscale and submesoscale flows. In this paper we provide a principled approach for doing so by fitting observed velocities to a local Taylor expansion of the velocity flow field. We demonstrate how to estimate mesoscale and submesoscale quantities that evolve slowly over time, as well as their associated statistical uncertainty. We show that in practice the mesoscale component of our model can explain much first and second-moment variability in drifter velocities, especially at low frequencies. This results in much lower and more meaningful measures of submesoscale diffusivity, which would otherwise be contaminated by unresolved mesoscale flow. We quantify these effects theoretically via computing Lagrangian frequency spectra, and demonstrate the usefulness of our methodology through simulations as well as with real observations from the LatMix deployment of drifters. The outcome of this method is a full Lagrangian decomposition of each drifter trajectory into three components that represent the background, mesoscale, and submesoscale flow
Longitudinal study of local authority child and family social workers (Wave 1) Research report August 2019
In 2018, the Department for Education (DfE) commissioned a consortium led by IFF Research, working with social work academics at Manchester Metropolitan University and the University of Salford, to conduct a major new longitudinal study tracking the careers of local authority child and family social workers in England over five years. The aim of this landmark new study is to collect robust evidence on recruitment, retention and progression in child and family social work. In particular it aims to establish a much stronger understanding of child and family social work recruitment issues, career pathways, choices and decisions and how these differ across different individual, job and employer characteristics
Mobilising Knowledge through Global Partnerships to Support Research-informed Teaching: Five Models for Translational Research
Education Futures Collaboration Charity
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.Improving the quality of teaching is of global concern: UNESCO’s Sustainable Development Goal (SDG) 4c in the Education 2030: Framework for Action calls for high quality teaching for all. The OECD challenges the education system to improve Knowledge Management. JET’s (2015) special issue: Translational Research (TR) and Knowledge Mobilisation in Teacher Education introduced the concept of ‘translational’ or ‘theory to practice’ research - well-established in medicine but not in education. Five TR models were subsequently developed by the MESH charity’s international network with organisations in South Africa, Bangladesh, Australia, Pakistan, UK. These distinct models engage 1) university staff and teachers 2) subject associations, 3) research units, 4) an international NGO working in crisis settings, 5) PhD tutors and students. Each model shares common features forming the MESH Translational Research methodology introduced in this article. A TR repository is part of the MESH knowledge mobilisation strategy giving teachers access to research summaries which, overtime, accumulate knowledge. TR publications called MESHGuides (www.meshguides.org) complement existing forms of publication. This article proposes the MESH TR methodology as one affordable and scalable solution to OECD and UNESCO’s challenges of keeping teachers up-to-date and making new knowledge accessible to teachers regardless of location
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