105 research outputs found

    Short industrial placements -developing an activity framework to support teaching and learning

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    Purposeā€“ This paper identifies the activities to be undertaken by students during short industrial placements. The purpose of this paper is to obtain a better understanding of what students do during their placements and provide a framework that supports both teaching and learning. This research focuses on a masters-level programme that contains a series of four, two week industrial placements where groups of two students work on a real and significant issue for the host company.Design/methodology/approachā€“ A framework, developed from literature, describes a placement in terms of 17 high-level activity groups. A multi-stage action research method was applied to test the framework and develop a more detailed level framework. This used insights gathered from students, tutors and researchers on all 80 placements undertaken during the 2012-2013 academic year.Findingsā€“ The 17 high-level activity groups and their configuration in the framework were confirmed. For the 12 process activity groups, 64 activities were identified and included into a detailed level framework. For the five through-placement activity groups some specific activities were captured and further work remains to capture the others.Originality/valueā€“ These complex industrial placements can now be described consistently to students, companies and tutors using an evidence-based framework. Literature searches have not identified any other equivalent research-based frameworks. Other HE programmes also use similar industrial placements and this framework will provide a basis to support these and add to the body of knowledge in work integrated learning.This is the author's accepted manuscript. The final version is published by Emerald Publishing Group in Higher Education, Skills and Work-based Learning (http://www.emeraldinsight.com/doi/abs/10.1108/HESWBL-06-2014-0019?queryID=27%2F15276555). This article is (c) Emerald Group Publishing and permission has been granted for this version to appear here (http://www.repository.cam.ac.uk/handle/1810/245875). Emerald does not grant permission for this article to be further copied/distributed or hosted elsewhere without the express permission from Emerald Group Publishing Limited - See more at: http://www.emeraldgrouppublishing.com/authors/writing/author_rights.htm#sthash.zhFajy0N.dpu

    Detection of embryo mortality and hatch using thermal differences among incubated chicken eggs

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    Accurate diagnosis of both the stage of embryonic mortality and the hatch process in incubated eggs is a fundamental component in troubleshooting and hatchery management. However, traditional methods disturb incubation, destroy egg samples, risk contamination, are time and labour-intensive and require specialist knowledge and training. Therefore, a new method to accurately detect embryonic mortality and hatching time would be of significant interest for the poultry industry if it could be done quickly, cheaply and be fully integrated into the process. In this study we have continuously measured individual eggshell temperatures and the corresponding micro-environmental air temperatures throughout the 21 days of incubation using standard low-cost temperature sensors. Moreover, we have quantified the thermal interaction between eggs and air by calculating thermal profile changes (temperature drop time, drop length and drop magnitude) that allowed us to detect four categories of egg status (infertile/early death, middle death, late death and hatch) during incubation. A decision tree induction classification model accurately (93.3%) predicted the status of 105 sampled eggs in comparison to the classical hatch residue breakout analyses. With this study we have provided a major contribution to the optimisation of incubation processes by introducing an alternative method for the currently practiced hatch residue breakout analyses.status: publishe

    Genomic epidemiology of SARS-CoV-2 in a UK university identifies dynamics of transmission

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    AbstractUnderstanding SARS-CoV-2 transmission in higher education settings is important to limit spread between students, and into at-risk populations. In this study, we sequenced 482 SARS-CoV-2 isolates from the University of Cambridge from 5 October to 6 December 2020. We perform a detailed phylogenetic comparison with 972 isolates from the surrounding community, complemented with epidemiological and contact tracing data, to determine transmission dynamics. We observe limited viral introductions into the university; the majority of student cases were linked to a single genetic cluster, likely following social gatherings at a venue outside the university. We identify considerable onward transmission associated with student accommodation and courses; this was effectively contained using local infection control measures and following a national lockdown. Transmission clusters were largely segregated within the university or the community. Our study highlights key determinants of SARS-CoV-2 transmission and effective interventions in a higher education setting that will inform public health policy during pandemics.</jats:p
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