913 resultados para Biochemical Research Methods
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E-health provides powerful tools to improve health, but users’ health literacy – their ability to obtain, process, and act appropriately on health information – plays a role in their ability to make the most of e-health applications. This project reviewed research focused on e-health and health literacy, coding 94 articles to provide an overview of the field including use of theory and research methods. Findings indicate a lack of theory and use of established health literacy measures.
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A training course that forms part of Epigeum's Research Skills Master Programme.
Methodology of the evaluation programme: Experience and innovation: How the research methods evolved
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The objective of this book is to present the quantitative techniques that are commonly employed in empirical finance research together with real world, state of the art research examples. Each chapter is written by international experts in their fields. The unique approach is to describe a question or issue in finance and then to demonstrate the methodologies that may be used to solve it. All of the techniques described are used to address real problems rather than being presented for their own sake and the areas of application have been carefully selected so that a broad range of methodological approaches can be covered. This book is aimed primarily at doctoral researchers and academics who are engaged in conducting original empirical research in finance. In addition, the book will be useful to researchers in the financial markets and also advanced Masters-level students who are writing dissertations.
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One of the biggest challenges of integrating research in TESOL with research in digital literacies is that the research methodologies of these two traditions have developed out of different ontological and episte- mological assumptions about what is being researched (the object of study), where the research is located (the research site), and who is being researched (the research participants).
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New digital artifacts are emerging in data-intensive science. For example, scientific workflows are executable descriptions of scientific procedures that define the sequence of computational steps in an automated data analysis, supporting reproducible research and the sharing and replication of best-practice and know-how through reuse. Workflows are specified at design time and interpreted through their execution in a variety of situations, environments, and domains. Hence it is essential to preserve both their static and dynamic aspects, along with the research context in which they are used. To achieve this, we propose the use of multidimensional digital objects (Research Objects) that aggregate the resources used and/or produced in scientific investigations, including workflow models, provenance of their executions, and links to the relevant associated resources, along with the provision of technological support for their preservation and efficient retrieval and reuse. In this direction, we specified a software architecture for the design and implementation of a Research Object preservation system, and realized this architecture with a set of services and clients, drawing together practices in digital libraries, preservation systems, workflow management, social networking and Semantic Web technologies. In this paper, we describe the backbone system of this realization, a digital library system built on top of dLibra.