706 research outputs found

    Gender difference of the informal sector wage gap

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    노트 : IAFFE 2011 ANNUAL CONFERENCE in Hangzhou, ChinaJune 24 - 26, 2011Zhejiang Gongshang University, Hangzhou, Chin

    For Students, by Students: a Peer-Led Entrepreneurship Course for Medical Students

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    Recognising the growing importance of clinical leadership and entrepreneurship to implement innovative healthcare solutions, final year UK medical students developed a near-peer elective module for first- and second-year students. To date, five cohorts have completed the module and developed skills in the fields of medical technology, quality improvement, and leadership

    FastVentricle: Cardiac Segmentation with ENet

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    Cardiac Magnetic Resonance (CMR) imaging is commonly used to assess cardiac structure and function. One disadvantage of CMR is that post-processing of exams is tedious. Without automation, precise assessment of cardiac function via CMR typically requires an annotator to spend tens of minutes per case manually contouring ventricular structures. Automatic contouring can lower the required time per patient by generating contour suggestions that can be lightly modified by the annotator. Fully convolutional networks (FCNs), a variant of convolutional neural networks, have been used to rapidly advance the state-of-the-art in automated segmentation, which makes FCNs a natural choice for ventricular segmentation. However, FCNs are limited by their computational cost, which increases the monetary cost and degrades the user experience of production systems. To combat this shortcoming, we have developed the FastVentricle architecture, an FCN architecture for ventricular segmentation based on the recently developed ENet architecture. FastVentricle is 4x faster and runs with 6x less memory than the previous state-of-the-art ventricular segmentation architecture while still maintaining excellent clinical accuracy.Comment: 11 pages, 6 figures, Accepted to Functional Imaging and Modeling of the Heart (FIMH) 201

    Floer theory for the variation operator of an isolated singularity

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    The variation operator in singularity theory maps relative homology cycles to compact cycles in the Milnor fiber using the monodromy. We construct its symplectic analogue for an isolated singularity. We define a new Floer cohomology, called monodromy Lagrangian Floer cohomology, which provides categorifications of the standard theorems on the variation operator and the Seifert form. The key ingredients are a special class Γ\Gamma in the symplectic cohomology of the inverse of the monodromy and its closed-open images. For isolated plane curve singularities whose A'Campo divide has depth zero, we find an exceptional collection consisting of non-compact Lagrangians in the Milnor fiber corresponding to a distinguished collection of vanishing cycles under the variation operator.Comment: 63 pages, 25 figures, v2. Added references, v3. Several results are added in Section 4.7, and the appendix is remove

    Understanding impacts of accreditation on medical teachers and students: A systematic review and meta-ethnography

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    Purpose: Accreditation is widely used by medical schools around the word to evaluate their curricula and educational processes, although its impacts on those involved in the ‘frontline’ of medical education receive little attention. This study systematically identified and synthesised qualitative studies that have explored medical teachers’ and students’ experiences of accreditation. / Methods: Four databases (Pubmed, EMBASE, ERIC, and PsychINFO) were searched for relevant published articles. Synthesis was performed using meta-ethnography. / Results: Eighteen articles were included in the final synthesis with 1017 individual participants from 10 countries. Findings were categorised into four domains, including navigating power differentials, evaluating credibility, influencing medical programmes, and culture and behaviour. The synthesis demonstrates divergent views on the value of accreditation in medical schools from students and staff including both positive and negative impacts on medical education programmes and stakeholders. / Conclusions: Although accreditation is perceived to have many benefits, it also has a number of unintended consequences, including on staff morale, student-teacher relationships, and teacher workloads. Medical teachers also have a number of concerns about the credibility of accreditation standards, assessors, and processes. Regulators and policymakers should consider the views of teachers and students as they seek to improve current accreditation practices
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