2,075 research outputs found

    Scaling technology transfer through private seed channels: Experience from East Africa

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    Academic Cloud Computing Research: Five Pitfalls and Five Opportunities

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    This discussion paper argues that there are five fundamental pitfalls, which can restrict academics from conducting cloud computing research at the infrastructure level, which is currently where the vast majority of academic research lies. Instead academics should be conducting higher risk research, in order to gain understanding and open up entirely new areas. We call for a renewed mindset and argue that academic research should focus less upon physical infrastructure and embrace the abstractions provided by clouds through five opportunities: user driven research, new programming models, PaaS environments, and improved tools to support elasticity and large-scale debugging. The objective of this paper is to foster discussion, and to define a roadmap forward, which will allow academia to make longer-term impacts to the cloud computing community.Comment: Accepted and presented at the 6th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud'14

    Has the commercialisation of medical research gone too far?

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    Government policy has been complicit in the increasing role of commercial companies in research, which in turn have little incentive to share the benefits of research. As a result, huge swathes of medical research rely on commercialisation and related patent protection in order to thrive. There is a distinct lack of evidence that commercialisation has led to an improvement in public health, the claim of increased innovation simply does not have empirical support. Commercialisation has led to skewed benefits in favour of companies, whereby industry is using the public’s resource without adequately paying for it, this imbalance may be seen as a form of exploitation. In this paper I argue that the skewed relationship between commercial and public interest needs to be addressed in order to ensure we meet healthcare needs of our patients in the future and ensuring the healthcare remains affordable

    Cloud Benchmarking for Performance

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    How can applications be deployed on the cloud to achieve maximum performance? This question has become significant and challenging with the availability of a wide variety of Virtual Machines (VMs) with different performance capabilities in the cloud. The above question is addressed by proposing a six step benchmarking methodology in which a user provides a set of four weights that indicate how important each of the following groups: memory, processor, computation and storage are to the application that needs to be executed on the cloud. The weights along with cloud benchmarking data are used to generate a ranking of VMs that can maximise performance of the application. The rankings are validated through an empirical analysis using two case study applications; the first is a financial risk application and the second is a molecular dynamics simulation, which are both representative of workloads that can benefit from execution on the cloud. Both case studies validate the feasibility of the methodology and highlight that maximum performance can be achieved on the cloud by selecting the top ranked VMs produced by the methodology.Comment: 6 pages, 6th IEEE International Conference on Cloud Computing Technology and Science (IEEE CloudCom) 2014, Singapor

    Reviews

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    Technology‐based Learning Environments: Psychological and Educational Foundations edited by S. Vosniadou, E. De Corte and H. Mandl, volume 137 in NATO ASI Series F (Computer and Systems Sciences), Berlin, Springer‐Verlag, ISBN: 0–387–58253–3, 1994

    A preliminary assessment of the role of ambient nitric oxide exposure in hospitalization with respiratory syncytial virus bronchiolitis

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    Some in vitro studies have indicated a possible link between respiratory syncytial virus (RSV) infection and exposure to Nitric Oxide (NO). However, these studies used much higher NO concentrations than normally found in the ambient environment. This preliminary study explored whether an association was present with short-term exposure to NO in the environment. RSV-related admission data between November 2011 and February 2012 were obtained from Sheffield Children’s Hospital. The dates of admission were linked to contemporaneous ambient NO derived from sentinel air monitors. The case-crossover design was used to study the relationship between daily RSV admissions and NO, controlling for temperature and relative humidity. We found little evidence of association between daily RSV admission rates and exposure to ambient NO at different lags or average exposure across several lags. The findings should, however, be viewed with caution due to the low number of events observed during the time frame. It is possible that the apparent lack of association may be accounted for by the timing of the seasonal RSV epidemic in relation to peaks in NO concentrations. A larger study incorporating a wider range of RSV and NO peaks would determine whether said peaks enhanced the number of RSV hospitalizations in children
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