188,602 research outputs found
Measuring and analyzing German and Spanish customer satisfaction of using the iPhone 4S Mobile Cloud service
Full text linkThis paper presents the customer satisfaction analysis for measuring popularity in the Mobile Cloud, which is an emerging area in the Cloud and Big Data Computing. Organizational Sustainability Modeling (OSM) is the proposed method used in this research. The twelve-month of German and Spanish consumer data are used for the analysis to investigate the return and risk status associated with the ratings of customer satisfaction in the iPhone 4S Mobile Cloud services. Results show that there is a decline in the satisfaction ratings in Germany and Spain due to economic downturn and competitions in the market, which support our hypothesis. Key outputs have been explained and they confirm that all analysis and interpretations fulfill the criteria for OSM. The use of statistical and visualization method proposed by OSM can expose unexploited data and allows the stakeholders to understand the status of return and risk of their Cloud strategies easier than the use of other data analysis
Brain Segmentation ? A Case study of Biomedical Cloud Computing for Education and Research
No full textMedical imaging is widely adopted in Hospitals and medical institutes, and new ways to improve existing medical imaging services are regularly exploited. This paper describes the adoption of Cloud Computing is useful for medical education and research, and describes the methodology, results and lesson learned. A working Bioinformatics Cloud platform can demonstrate computation and visualisation of brain imaging. The aim is to study segmentation of brains, which divides the brain into ten major regions. The Cloud platform has these two functions: (i) it can highlight each region for ten different segments; and (ii) it can adjust intensity of segmentation to allow basic study of brain medicine. Two types of benefits are reported as follows. Firstly, all the medical student participants are reported to have 20% improvement in their learning satisfaction. Secondly, 100% of volunteer participants are reported to have positive learning experience
Chang et al. Figure 2
No full textFigure 2 Data. Chang et al. Cellular and temporal separation of B7 and TNF family signals controls the postprimingCD4 T cell response to viral infection. Immunity. 201
Chang et al. Figure S6
No full textFigure S6 Data. Chang et al. Cellular and temporal separation of B7 and TNF family signals controls the postprimingCD4 T cell response to viral infection. Immunity. 201
Chang et al. Figure 3
No full textFigure 3 Data. Chang et al. Cellular and temporal separation of B7 and TNF family signals controls the postprimingCD4 T cell response to viral infection. Immunity. 201
Chang et al. Figure S3
No full textFigure S3 Data. Chang et al. Cellular and temporal separation of B7 and TNF family signals controls the postprimingCD4 T cell response to viral infection. Immunity. 201
Chang et al. Figure 6
No full textFigure 6 Data. Chang et al. Cellular and temporal separation of B7 and TNF family signals controls the postprimingCD4 T cell response to viral infection. Immunity. 201
Chang et al. Figure S5
No full textFigure S5 Data. Chang et al. Cellular and temporal separation of B7 and TNF family signals controls the postprimingCD4 T cell response to viral infection. Immunity. 201
Chang et al. Figure 4
No full textFigure 4 Data. Chang et al. Cellular and temporal separation of B7 and TNF family signals controls the postprimingCD4 T cell response to viral infection. Immunity. 201
Chang et al. Figure 1
No full textFigure 1 Data. Chang et al. Cellular and temporal separation of B7 and TNF family signals controls the postprimingCD4 T cell response to viral infection. Immunity. 201
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