770 resultados para Tennis
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This paper describes a methodology of using individual engineering undergraduate student projects as a means of effectively and efficiently developing new Design-Build-Test (DBT) learning experiences and challenges.
A key aspect of the rationale for this approach is that it benefits all parties. The student undertaking the individual project gets an authentic experience of producing a functional artefact, which has been the result of a design process that addresses conception, design, implementation and operation. The supervising faculty member benefits from live prototyping of new curriculum content and resources with a student who is at a similar level of knowledge and experience as the intended end users of the DBT outputs. The multiple students who ultimately undertake the DBT experiences / challenges benefit from the enhanced nature of a learning experience which has been “road tested” and optimised.
To demonstrate the methodology the paper will describe a case study example of an individual project completed in 2015. This resulted in a DBT design challenge with a theme of designing a catapult for throwing table tennis balls, the device being made from components laser cut from medium density fibreboard (MDF). Further three different modes of operation will be described which use the same resource materials but operate over different timescales and with different learning outcomes, from an icebreaker exercise focused on developing team dynamics through to full DBT where students get an opportunity to experience the full impact of their design decisions by competing against other students with a catapult they have designed and built themselves.
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Objective: To verify the sociodemographic profile and the frequency of musculoskeletal injuries in elderly people who practice competitive and noncompetitive sports activities in the city of Pelotas, RS. Methods: Descriptive study, including 29 male subjects, aged 65 years or older, who practiced sports modalities in a competitive and noncompetitive way, in the city of Pelotas, in 2015. Data collection was performed through the application of a questionnaire with questions addressing economic, sociodemographic, nutritional and behavioral issues, and injuries sustained in sports activities. Statistical analysis was performed by calculating measures of central tendency for continuous variables and proportions for categorical variables. Results: The current practice of competitive sports was described by 58.6% (n=17) of the subjects, and the most practiced sports were 7-a-side football (53.0%, n=9), tennis (23.5%, n=4) and swimming (23.5%, n=4). Noncompetitive sports were practiced by 44.8% (n=13), and tennis was the most popular sport played (92.3%, n=12). The frequency of injuries among individuals practicing competitive and noncompetitive sports was, respectively, 35.3% (n=6), and 38.5% (n=5). The most frequent injuries were epicondylitis (50.0%, n=3) and meniscus injuries (60.0%, n=3), and the most affected body regions were knee (27.3%, n=3), elbow (27.3%, n=3), and shoulder (18.2%, n=2). The injuries occurred during the sports activities, and the dominant side was the one affected in 63.6% (n=7). Conclusion: This study verified that the occurrence of injuries in elderly individuals who practice sports is relevant, even among those who practice them noncompetitively, with epicondylitis as the most frequent among them, whereas meniscus injuries are the most frequent among those who practice competitive sports.
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In this volume are represented the proceedings of the Third North American Symposium on Knowledge Organization held at Ryerson University in Toronto Canada on June 16-17, 2011. It contains 21 papers and one abstract.
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International audience
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In this issue...Butte Tennis Club, Coach Downey, Talent Show, Anaconda Company, Copper Guards, Graduates, Butte YMCA, Intramural Sports, Alex Chaky
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In this issue...Spectrometer, Student Wives Carnival, international Cuisine, Tennis tournament, NASA, Foreign Aid, Cuba, Classified Ads, Speech Tournament
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Presents constructs from classification theory and relates them to the study of hashtags and other forms of tags in social media data. Argues these constructs are useful to the study of the intersectionality of race, gender, and sexuality. Closes with an introduction to an historical case study from Amazon.com.
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Three paths of interdisciplinary work shape the future of classification research.emergence, encyclopedism, and ecology. Each of these, in method, approach, and in substantive inquiry outline both the boundaries and the intersections of the many fields that contribute to our overall understanding of classification research. This paper outlines some high level claims of this work, ties it to current research and offers some theoretical applications of these paths.
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A starting point for contributing to the greater good is to examine and interrogate existing knowledge organization practices that do harm, whether that harm is intentional or accidental, or an inherent and unavoidable evil. As part of the transition movement, the authors propose to inventory the manifestations and implications of the production of suffering by knowledge organization systems through constructing a taxonomy of harm. Theoretical underpinnings guide ontological commitment, as well as the recognition of the problem of harm in knowledge organization systems. The taxonomy of harm will be organized around three main questions: what hap- pens?, who participates?, and who is affected and how? The aim is to heighten awareness of the violence that classifications and naming practices carry, to unearth some of the social conditions and motivations that contribute to and are reinforced by knowledge organization systems, and to advocate for intentional and ethical knowledge organization practices to achieve a minimal level of harm.
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This paper outlines a formal and systematic approach to explication of the role of structure in information organization. It presents a preliminary set of constructs that are useful for understanding the similarities and differences that obtain across information organization systems. This work seeks to provide necessary groundwork for development of a theory of structure that can serve as a lens through which to observe patterns across systems of information organization.
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This paper adds two analytical devices to domain analysis, claiming that for domain analysis to work cumulatively transferable definitions of domains must be written. To establish this definition the author provides two axes to consider: Ar- eas of Modulation and Degrees of Specialization. These axes may serve as analytical devices for the domain analyst to delineate what is being studied and what is not being studied in a domain analysis.
URIs and Intertextuality: Incumbent Philosophical Commitments in the Development of the Semantic Web
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Examines two commitments inherent in Resource Description Framework (RDF): intertextuality and rationalism. After introducing how rationalism has been studied in knowledge organization, this paper then introduces the concept of bracketed-rationalism. This paper closes with a discussion of ramifications of intertextuality and bracketed rationalism on evaluation of RDF.
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Things change. Words change, meaning changes and use changes both words and meaning. In information access systems this means concept schemes such as thesauri or clas- sification schemes change. They always have. Concept schemes that have survived have evolved over time, moving from one version, often called an edition, to the next. If we want to manage how words and meanings - and as a conse- quence use - change in an effective manner, and if we want to be able to search across versions of concept schemes, we have to track these changes. This paper explores how we might expand SKOS, a World Wide Web Consortium (W3C) draft recommendation in order to do that kind of tracking.The Simple Knowledge Organization System (SKOS) Core Guide is sponsored by the Semantic Web Best Practices and Deployment Working Group. The second draft, edited by Alistair Miles and Dan Brickley, was issued in November 2005. SKOS is a “model for expressing the basic structure and content of concept schemes such as thesauri, classification schemes, subject heading lists, taxonomies, folksonomies, other types of controlled vocabulary and also concept schemes embedded in glossaries and terminologies” in RDF. How SKOS handles version in concept schemes is an open issue. The current draft guide suggests using OWL and DCTERMS as mechanisms for concept scheme revision.As it stands an editor of a concept scheme can make notes or declare in OWL that more than one version exists. This paper adds to the SKOS Core by introducing a tracking sys- tem for changes in concept schemes. We call this tracking system vocabulary ontogeny. Ontogeny is a biological term for the development of an organism during its lifetime. Here we use the ontogeny metaphor to describe how vocabularies change over their lifetime. Our purpose here is to create a conceptual mechanism that will track these changes and in so doing enhance information retrieval and prevent document loss through versioning, thereby enabling persistent retrieval.
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This article presents an inventory what theorists describe as the definition of domain analysis. Survey writings on and of domain analyses for their distinct attributes and arguments. Compile these components and attributes, linking them to their function, and from there. Describe a proposed ideal form of domain analysis. Evidence that while the debate about the substance and form of the epistemic and ontological character of domain analysis will continue, some might find it useful to give shape to their ideas using a particular form that follows function. If our purpose is to delineate and communicate what it is that we are analyzing when we engage in domain analysis, then I hope this small contribution can be of use.
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Every indexing language is made up of terms. Those terms have morphological characteristics. These include terms made up of single words, two words, or more. We can also take into account the total number of terms.We can assemble these measures, normalize them, and then cluster indexing languages based on this common set of measures [1].Cluster analysis reviews discrete groups based on term morphology that comport with traditional design assumptions that separate ontologies, from thesauri, and folksonomies.