996 resultados para Series (Matemáticas)


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Background. Patients with anxiety disorder diagnoses commonly have more than one anxiety diagnosis. While cognitive-behavioral interventions have proven efficacy in treating single anxiety disorder diagnoses, there has been little investigation of their efficacy in treating cooccurring anxiety disorders. Aims. To evaluate the efficacy of a transdiagnostic cognitive-behavioral intervention for treating co-occurring anxiety disorders. Methods. An A-B single case study design (N = 6) was used to evaluate the efficacy of a 12 to 13 session modular transdiagnostic cognitive-behavioral intervention for treating co-occurring anxiety disorders across patients with at least two of the following diagnoses: GAD, Social Phobia, Panic Disorder and/or OCD. Results. Five of the six participants completed treatment. At post-treatment assessment the five treatment completers achieved diagnostic and symptomatic change with three participants being diagnosis free. All participants who completed treatment no longer met criteria for any DSM-IV-TR Axis-I diagnosis at the three-month follow-up assessment, and demonstrated reliable and clinically-significant improvements in symptoms. Across the participants, statistically significant improvements from pre- to post-intervention were found on measures of anxiety, depression and general well-being, and all improvements were maintained at three-month follow-up. Conclusions. Results suggest that transdiagnostic cognitive behavioral interventions can be of benefit to patients with co-occurring anxiety disorders.

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A short series of articles in Nursing Older People, starting in September, presents case study examples of the positive work achieved by trusts that participated in the RCN’s development programme to improve dementia care in acute hospitals. This introductory article reports on the independent evaluation of the programme. The programme included a launch event, development days, site visits, ongoing support by the RCN lead and carer representatives and a conference to showcase service improvements. The evaluation drew on data from a survey, the site visits, trust action plans and a range of self-assessment tools for dementia care. The findings highlight substantial progress towards programme objectives and learning outcomes and suggest that the programme provided the focus, impetus and structure for trusts to make sustainable changes. It also equipped participants with the strategies and confidence to change practice. Recommendations are made for taking the programme forward.

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Concert Program for Music of Today, Garth Knox, October 22, 2013

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Concert Program for Music of Today Series, UW Modern Ensemble, Inverted Space, Andre Richard, February 25, 2014

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Concert Program for Music of Today Series, UW Modern Ensemble, May 19, 2014

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Concert Program for Jazz Innovations Series, November 18 2003

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Concert Program

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An archive of 12 electronic files, visualised as colourful air grid lattice structures.

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An archive of 12 electronic files, visualised as colourful air grid lattice structures.

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Relatório de Estágio apresentado à Escola Superior de Educação de Lisboa para obtenção de grau de mestre em Ensino do 1.º e 2.º ciclo do Ensino Básico

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Dissertação de mestrado em Ciências da Educação: área de Educação e Desenvolvimento

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Global warming and the associated climate changes are being the subject of intensive research due to their major impact on social, economic and health aspects of the human life. Surface temperature time-series characterise Earth as a slow dynamics spatiotemporal system, evidencing long memory behaviour, typical of fractional order systems. Such phenomena are difficult to model and analyse, demanding for alternative approaches. This paper studies the complex correlations between global temperature time-series using the Multidimensional scaling (MDS) approach. MDS provides a graphical representation of the pattern of climatic similarities between regions around the globe. The similarities are quantified through two mathematical indices that correlate the monthly average temperatures observed in meteorological stations, over a given period of time. Furthermore, time dynamics is analysed by performing the MDS analysis over slices sampling the time series. MDS generates maps describing the stations’ locus in the perspective that, if they are perceived to be similar to each other, then they are placed on the map forming clusters. We show that MDS provides an intuitive and useful visual representation of the complex relationships that are present among temperature time-series, which are not perceived on traditional geographic maps. Moreover, MDS avoids sensitivity to the irregular distribution density of the meteorological stations.