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BACKGROUND Multiplexed detection of low-level mutations presents a technical challenge for many technologies, including cancer gene panels used for targeted-resequencing. Analysis of mutations below approximately 2%-5% abundance in tumors with heterogeneity, samples with stromal contamination, or biofluids is problematic owing to increased noise from(More)
(2012) Energy-efficient virtual machine placement in data centers by genetic algorithm. Notice: Changes introduced as a result of publishing processes such as copy-editing and formatting may not be reflected in this document. For a definitive version of this work, please refer to the published source: Abstract. Server consolidation using virtualization(More)
Beta-thalassaemia is a common inherited disorder of haemoglobin synthesis worldwide, with an estimated 3-10% frequency in certain regions. Rapid, accurate genotyping methodologies for specific, causative mutations of the beta-globin gene are needed for pre- and postnatal screening and diagnosis of this disease in different ethnic populations. In this study,(More)
PURPOSE The aim of this study was to develop and validate a grading scale to facilitate the estimation of the amount of nerve tissue in images of the corneal subbasal nerve plexus captured using in vivo laser scanning corneal confocal microscopy (LSCCM). METHODS Images of the corneal subbasal nerve plexus obtained using a Heidelberg LSCCM were sourced(More)
Energy efficiency of data centers has become a hot topic in recent years and one of the most effective ways to save energy consumed by servers in a data center is through server consolidation. In this paper, a new dynamic server consolidation approach is proposed. The new dynamic server consolidation approach is inspired by the process of human trading. The(More)
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