80 resultados para Computer Mediated Communication


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Background: Skin cancer is the most common cancer in light-skinned populations worldwide. Primary and secondary preventive activities such as skin cancer screening are intended to reduce skin cancer burden. In 2003, a population-based skin cancer screening project [SCREEN (Skin Cancer Research to Provide Evidence for Effectiveness of Screening in Northern Germany)] was conducted in Northern Germany with more than 360 000 people screened. SCREEN was supported by a communication intervention that was aimed at informing the population about skin cancer, its risk factors and the screening intervention as well as preparing the health professionals for the project. Within SCREEN both physicians and practice nurses were educated in counselling. The aim of the present article is to describe and evaluate the communication strategy accompanying SCREEN. Methods: Two computer-assisted telephone interview surveys were performed in April/May 2003 and May 2004. Participants had to be members of the statutory health insurance and be aged ≥20 years. They were asked about knowledge of skin cancer, perception of physicians' performance and skin cancer screening in general. Data are mainly presented in a descriptive manner. For statistical analyses, Mann-Whitney U test and Pearson's chi-square test were used. Results: Knowledge about sunburn in childhood and high ultraviolet exposure as skin cancer risk factors increased during SCREEN. Simultaneously, the awareness for early detection of skin cancer increased significantly from 41.3 to 74.0% (P < 0.001). A total of 21.5% of the interviewees participated in the skin cancer screening project, similar to the population-based participation rate reached. Conclusion: A comprehensive communication strategy accompanying a screening intervention improves the knowledge of potential screenees and may additionally increase the participation rate.

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With the explosion of big data, processing large numbers of continuous data streams, i.e., big data stream processing (BDSP), has become a crucial requirement for many scientific and industrial applications in recent years. By offering a pool of computation, communication and storage resources, public clouds, like Amazon's EC2, are undoubtedly the most efficient platforms to meet the ever-growing needs of BDSP. Public cloud service providers usually operate a number of geo-distributed datacenters across the globe. Different datacenter pairs are with different inter-datacenter network costs charged by Internet Service Providers (ISPs). While, inter-datacenter traffic in BDSP constitutes a large portion of a cloud provider's traffic demand over the Internet and incurs substantial communication cost, which may even become the dominant operational expenditure factor. As the datacenter resources are provided in a virtualized way, the virtual machines (VMs) for stream processing tasks can be freely deployed onto any datacenters, provided that the Service Level Agreement (SLA, e.g., quality-of-information) is obeyed. This raises the opportunity, but also a challenge, to explore the inter-datacenter network cost diversities to optimize both VM placement and load balancing towards network cost minimization with guaranteed SLA. In this paper, we first propose a general modeling framework that describes all representative inter-task relationship semantics in BDSP. Based on our novel framework, we then formulate the communication cost minimization problem for BDSP into a mixed-integer linear programming (MILP) problem and prove it to be NP-hard. We then propose a computation-efficient solution based on MILP. The high efficiency of our proposal is validated by extensive simulation based studies.

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Support for the saying “a picture is worth a 1000 words’ has been consistently found within statistics education. Graphical images are effective in promoting understanding and communication of statistical concepts and results to a variety of audiences. The computer software package, AMOS, was developed for the analysis of structural equation models (SEM) and has a user-friendly graphical interface. However, courses in SEM are generally found only at the postgraduate level. This paper argues that the graphical interface of AMOS has the potential to enhance conceptual understanding and communication of results in undergraduate statistical courses. More specifically, approaches to the teaching and communication of results of multiple regression models when using SPSS and AMOS will be examined and compared.

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Digital culture and the online world have profound implications for contemporary notions of literacy, learning and curriculum. The increasing integration of digital culture and technologies into young people’s lives reflects the energy and excitement offered by online worlds. Online forms of text and communication are shaping students’ experience of the world, including expectations and experiences about learning and literacy. While print literacies remain important, for schools to prepare students to participate in critical and agential ways in the contemporary and future world, they need also to teach them to be fully literate in digital and multimodal literacies, and at ease and in control in the online world. Computer games, and other forms of digital games, teach and exemplify multimodal forms of literacy. Schools can capitalize on their potential and work with them productively. Doing so however, entails recognizing the messy complexity of schooling, and the practicalities of classroom lives. This chapter reports on a three year project in five schools concerned with literacy and computer games, and discusses the important role of teachers as on-the- ground leaders in pioneering new conceptions of literacy, and of curriculum change, and the importance of school structures and support to enable such change to happen.