Applied science

About: Applied science is a research topic. Over the lifetime, 1178 publications have been published within this topic receiving 19920 citations. The topic is also known as: applied sciences.

Basic Science and the Undergraduate Medical Curriculum

Abstract: Current commentary on medical education is full of complaints about the basic sciences. These subjects are said to include too much detail taught in a dead, rote fashion. In their present form they bear little relation to the clinical work that follows them. Teachers and students alike lack enthusiasm; students wish to get on to the clinical subjects, and teachers prefer graduate students to medical students. If the present-day medical curriculum is too reductionist, overspecialized, and fragmented, the basic sciences are said to deserve much of the blame [1-8]. Contemporary critics propose various remedies; they suggest that the scope of the basic sciences be curtailed, that they be taught in an interdisciplinary fashion, and that they be taught at the college level and so eliminated from the medical curriculum in their present form. One proposed solution is to integrate them with analogous graduate school teaching. Others have favored less attention to content and more to problem solving and the experimental method, or ending the separation between basic and clinical subjects by interweaving both approaches throughout the curriculum. Defenders of the basic sciences in their present form argue that physicians use basic science in medical practice (or at least should do so) and that, anyway, physicians must know scientific principles to avoid becoming technicians. Some even advocate aggressively expanding the

Security and reliability in big data

Abstract: The purpose of this special issue is to collate a selection of representative research articles that were primarily presented at the 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom 2013). This annual conference brings together researchers and practitioners in the world from both academia and industry who are working on trusted computing and communications in computer systems and networks, in order to promote an exchange of ideas, discuss future collaborations, and develop new research directions. Big data is now invading in every aspect of our daily life and promise to revolutionize our life. For example, human beings create about 2.5 quintillion bytes of data every day in 2012, which come from sensors, individual archives, social networks, Internet of Things, enterprise, and Internet in all scales and formats. We face the most challenging issue, that is, how to effectively manage such a large amount of data and identify new ways to analyze large amounts of data and unlock information. This special issue presents many examples of how researchers, scholars, vendors, and practitioners are collaborating to address security and reliability research challenges. The scope of this special issue is broad and is representative of the multi-disciplinary nature of security and reliability. In addition to submissions that deal with security challenges, reliability issues, theoretical analysis, algorithms, and practical experience in the context of big data, this issue also includes articles that address practical challenges with handling large-scale data and applications. The effective protection of information and privacy in the context of big data is a central topic of this issue. Gwan-Hwan Hwang et al. [1] present a scheme to fulfill mutual nonrepudiation for cloud storage that is now a popular way in people’s daily life. [2,4] describes a new way to protect outsourced data in cloud computing through access management. Yulei Wu et al. [3] provide the insights into the issue in IPv6 adoption and show a special view from the Chinese IPv6 Application mix. To apply the encryption technique to protect the real-world data, key management is an essential issue. Guojun Wang et al. [4] propose to use the multilinear forms to achieve decentralized Group Key Management for Hierarchical Access Control. Chang Liu et al. [5] develop a hierarchical key exchange scheme for secure scheduling and auditing of big data. How to effectively analyze and utilize large-scale data is an interesting topic of this issue. Jinson Zhang et al. [6] present a new density approach that can produce a new model for analyzing and visualizing big data analysis. Guiyi Wei et al. [7] target on the service cooperation in VANETs and introduce a game-based incentive model to improve the service cooperation. We encourage the readers to review [8–10] to gain insight into the breadth and depth of problems and innovative solutions about high performance and reliable computing in the context of big data, such as a new platform for ubiquitous computing [8], a new application of soft computing for financial option pricing [9], and a new graph data processing system [10].

Physics in action - visiting a hospital

Abstract: Very often, an appreciation of a technological application cannot be gained without actually seeing `the real thing' in action. To this end, this article describes the preparation for and organisation and evaluation of a visit to a hospital.

Enlight : a projected augmented reality approach to science education

Abstract: Advances in augmented reality (AR) interfaces create a new possibility for innovative learning tools in education. This thesis explores the application of a projected augmented reality system and its use in science education. Through this work, we provide some brief insights into the potential and challenges of using the projection augmented model in a learning environment. With a focus on physics education, we developed tangible simulations of magnetic fields and other phenomena through the means of augmentation. We describe also the means to integrate and apply AR in a classroom environment. Our investigation analyzes the effects of augmented reality on student learning outcomes and the usability of our model. Quantitative and qualitative evidence suggests that the projection augmented model may complement learning in ways that current interfaces and learning methods are lacking. Thesis Supervisor: Pattie Maes Title: Alexander W. Dreyfoos (1954) Professor of Media Technology