706 research outputs found
Gender difference of the informal sector wage gap
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
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
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
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 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
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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