141 research outputs found

    Espacio interior: representaciĂłn, ocupaciĂłn, bienestar e interioridad

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    En aquest article repassarem el concepte de l’espai segons s’entĂ©n i es treballa en la disciplina del disseny interior/ arquitectura interior. En primer lloc descriurem el terme “interior”. A continuaciĂł analitzarem l’espai com a concepte general abans d’explorar quĂš Ă©s concretament l’espai per a la disciplina del disseny interior/arquitectura interior. Com s’entĂ©n l’espai? Com “veuen” l’espai els dissenyadors d’interiors/arquitectes d’interiors?This article will provide an overview of space as it is understood and engaged with from within the discipline of interior design/interior architecture. Firstly, the term interior will be described. Secondly, the paper will discuss space as a general concept, before exploring what space is speifically for the interior design/interior architecture discipline. How is space understood? What does space "look" like for interuior designers/interior architects?.En este artĂ­culo repasaremos el concepto de espacio segĂșn se entiende y se trabaja en la disciplina del diseño interior/arquitectura interior. En primer lugar describiremos el tĂ©rmino "interior". A continuaciĂłn analizaremos el espacio como un concepto general antes de explorar quĂ© es concretamente el espacio para la disciplina del diseño interior/arquitectura interior. ÂżCĂłmo se entiende el espacioÂż ÂżCĂłmo "ven" el espacio los diseñadores de interiores/arquitectos de interiores?

    A Definition of the Chidamber and Kemerer Metrics suite for UML. Technical Report NUIM-CS-TR-2006-03

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    Since there is no standard formalism for defining software metrics, many of the measures that exist have some ambiguity in their definitions which hinders their comparison and implementation. We address this problem by presenting an approach for defining software metrics. This approach is based on expressing the measures as Object Constraint Language queries over a language metamodel. To illustrate the approach, we specify how the Chidamber and Kemerer metrics suite can be measured from Unified Modelling Language class diagrams by presenting formal definitions for these metrics using the Unified Modelling Language 2.0 metamodel

    Some observations on the application of software metrics to UML models

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    In this position paper we discuss some of the existing work on applying metrics to UML models, present some of our own work in this area, and specify some topics for future research that we regard as important

    Towards the re-usability of software metric definitions at the meta level

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    A large number of metrics for evaluating the quality of software have been proposed in the literature. However, there is no standard terminology or formalism for defining metrics and consequently many of the metrics proposed have some ambiguity in their definitions. This hampers the empirical validation of these metrics. To address this problem, we generalise an existing approach to defining metrics that is based on the Object Constraint Language and the Unified Modelling Language metamodel. We have developed a prototype tool called DMML (Defining Metrics at the Meta Level) that supports this approach and we present details of this tool. To illustrate the approach, we present formal definitions for the Chidamber and Kemerer metrics suite

    Towards the re-usability of software metric definitions at the meta level

    Get PDF
    A large number of metrics for evaluating the quality of software have been proposed in the literature. However, there is no standard terminology or formalism for defining metrics and consequently many of the metrics proposed have some ambiguity in their definitions. This hampers the empirical validation of these metrics. To address this problem, we generalise an existing approach to defining metrics that is based on the Object Constraint Language and the Unified Modelling Language metamodel. We have developed a prototype tool called DMML (Defining Metrics at the Meta Level) that supports this approach and we present details of this tool. To illustrate the approach, we present formal definitions for the Chidamber and Kemerer metrics suite

    Influence of providers and nurses on completion of non-targeted HIV screening in an urgent care setting

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    Introduction: Despite recommendations by the Centers for Disease Control (CDC) that all adults be offered non-targeted HIV screening in all care settings, screening in acute-care settings remains unacceptably low. We performed an observational study to evaluate an HIV screening pilot in an academic-community partnership health center urgent care clinic. Methods: We collected visit data via encounter forms and demographic and laboratory data from electronic medical records. A post-pilot survey of perceptions of HIV screening was administered to providers and nurses. Multivariable analysis was used to identify factors associated with completion of testing. Results: Visit provider and triage nurse were highly associated with both acceptance of screening and completion of testing, as were younger age, male gender, and race/ethnicity. 23.5% of patients completed tests, although 36.0% requested screening; time constraints as well as risk perceptions by both the provider and patient were cited as limiting completion of screening. Post-pilot surveys showed mixed support for ongoing HIV screening in this setting by providers and little support by nurses. Conclusions: Visit provider and triage nurse were strongly associated with acceptance of testing, which may reflect variable opinions of HIV screening in this setting by clinical staff. Among patients accepting screening, visit provider remained strongly associated with completion of testing. Despite longstanding recommendations for non-targeted HIV screening, further changes to improve the testing and results process, as well as provider education and buy-in, are needed to improve screening rates
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