969 resultados para data interpretation
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The use of business management techniques in the public sector is not a new topic. However the increased use of the phrase "housing business management" as against that of "housing administration" reflects a change in the underlying philosophy of service delivery. The paper examines how data collection and use can be related to the operational requirements of the social landlords and highlights the problems of systems dynamics generating functionally obsolete data.
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The advent and application of high-resolution array-based comparative genome hybridization (array CGH) has led to the detection of large numbers of copy number variants (CNVs) in patients with developmental delay and/or multiple congenital anomalies as well as in healthy individuals. The notion that CNVs are also abundantly present in the normal population challenges the interpretation of the clinical significance of detected CNVs in patients. In this review we will illustrate a general clinical workflow based on our own experience that can be used in routine diagnostics for the interpretation of CNVs.
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Within the framework of a retrospective study of the incidence of hip fractures in the canton of Vaud (Switzerland), all cases of hip fracture occurring among the resident population in 1986 and treated in the hospitals of the canton were identified from among five different information sources. Relevant data were then extracted from the medical records. At least two sources of information were used to identify cases in each hospital, among them the statistics of the Swiss Hospital Association (VESKA). These statistics were available for 9 of the 18 hospitals in the canton that participated in the study. The number of cases identified from the VESKA statistics was compared to the total number of cases for each hospital. For the 9 hospitals the number of cases in the VESKA statistics was 407, whereas, after having excluded diagnoses that were actually "status after fracture" and double entries, the total for these hospitals was 392, that is 4% less than the VESKA statistics indicate. It is concluded that the VESKA statistics provide a good approximation of the actual number of cases treated in these hospitals, with a tendency to overestimate this number. In order to use these statistics for calculating incidence figures, however, it is imperative that a greater proportion of all hospitals (50% presently in the canton, 35% nationwide) participate in these statistics.
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CONTEXT: Several genetic risk scores to identify asymptomatic subjects at high risk of developing type 2 diabetes mellitus (T2DM) have been proposed, but it is unclear whether they add extra information to risk scores based on clinical and biological data. OBJECTIVE: The objective of the study was to assess the extra clinical value of genetic risk scores in predicting the occurrence of T2DM. DESIGN: This was a prospective study, with a mean follow-up time of 5 yr. SETTING AND SUBJECTS: The study included 2824 nondiabetic participants (1548 women, 52 ± 10 yr). MAIN OUTCOME MEASURE: Six genetic risk scores for T2DM were tested. Four were derived from the literature and two were created combining all (n = 24) or shared (n = 9) single-nucleotide polymorphisms of the previous scores. A previously validated clinic + biological risk score for T2DM was used as reference. RESULTS: Two hundred seven participants (7.3%) developed T2DM during follow-up. On bivariate analysis, no differences were found for all but one genetic score between nondiabetic and diabetic participants. After adjusting for the validated clinic + biological risk score, none of the genetic scores improved discrimination, as assessed by changes in the area under the receiver-operating characteristic curve (range -0.4 to -0.1%), sensitivity (-2.9 to -1.0%), specificity (0.0-0.1%), and positive (-6.6 to +0.7%) and negative (-0.2 to 0.0%) predictive values. Similarly, no improvement in T2DM risk prediction was found: net reclassification index ranging from -5.3 to -1.6% and nonsignificant (P ≥ 0.49) integrated discrimination improvement. CONCLUSIONS: In this study, adding genetic information to a previously validated clinic + biological score does not seem to improve the prediction of T2DM.
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Research in autophagy continues to accelerate,(1) and as a result many new scientists are entering the field. Accordingly, it is important to establish a standard set of criteria for monitoring macroautophagy in different organisms. Recent reviews have described the range of assays that have been used for this purpose.(2,3) There are many useful and convenient methods that can be used to monitor macroautophagy in yeast, but relatively few in other model systems, and there is much confusion regarding acceptable methods to measure macroautophagy in higher eukaryotes. A key point that needs to be emphasized is that there is a difference between measurements that monitor the numbers of autophagosomes versus those that measure flux through the autophagy pathway; thus, a block in macroautophagy that results in autophagosome accumulation needs to be differentiated from fully functional autophagy that includes delivery to, and degradation within, lysosomes (in most higher eukaryotes) or the vacuole (in plants and fungi). Here, we present a set of guidelines for the selection and interpretation of the methods that can be used by investigators who are attempting to examine macroautophagy and related processes, as well as by reviewers who need to provide realistic and reasonable critiques of papers that investigate these processes. This set of guidelines is not meant to be a formulaic set of rules, because the appropriate assays depend in part on the question being asked and the system being used. In addition, we emphasize that no individual assay is guaranteed to be the most appropriate one in every situation, and we strongly recommend the use of multiple assays to verify an autophagic response.
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BACKGROUND: There is an ongoing debate as to whether combined antiretroviral treatment (cART) during pregnancy is an independent risk factor for prematurity in HIV-1-infected women. OBJECTIVE: The aim of the study was to examine (1) crude effects of different ART regimens on prematurity, (2) the association between duration of cART and duration of pregnancy, and (3) the role of possibly confounding risk factors for prematurity. METHOD: We analysed data from 1180 pregnancies prospectively collected by the Swiss Mother and Child HIV Cohort Study (MoCHiV) and the Swiss HIV Cohort Study (SHCS). RESULTS: Odds ratios for prematurity in women receiving mono/dual therapy and cART were 1.8 [95% confidence interval (CI) 0.85-3.6] and 2.5 (95% CI 1.4-4.3) compared with women not receiving ART during pregnancy (P=0.004). In a subgroup of 365 pregnancies with comprehensive information on maternal clinical, demographic and lifestyle characteristics, there was no indication that maternal viral load, age, ethnicity or history of injecting drug use affected prematurity rates associated with the use of cART. Duration of cART before delivery was also not associated with duration of pregnancy. CONCLUSION: Our study indicates that confounding by maternal risk factors or duration of cART exposure is not a likely explanation for the effects of ART on prematurity in HIV-1-infected women.
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Social network has gained remarkable attention in the last decade. Accessing social network sites such as Twitter, Facebook LinkedIn and Google+ through the internet and the web 2.0 technologies has become more affordable. People are becoming more interested in and relying on social network for information, news and opinion of other users on diverse subject matters. The heavy reliance on social network sites causes them to generate massive data characterised by three computational issues namely; size, noise and dynamism. These issues often make social network data very complex to analyse manually, resulting in the pertinent use of computational means of analysing them. Data mining provides a wide range of techniques for detecting useful knowledge from massive datasets like trends, patterns and rules [44]. Data mining techniques are used for information retrieval, statistical modelling and machine learning. These techniques employ data pre-processing, data analysis, and data interpretation processes in the course of data analysis. This survey discusses different data mining techniques used in mining diverse aspects of the social network over decades going from the historical techniques to the up-to-date models, including our novel technique named TRCM. All the techniques covered in this survey are listed in the Table.1 including the tools employed as well as names of their authors.
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In the last thirty years, the emergence and progression of biologging technology has led to great advances in marine predator ecology. Large databases of location and dive observations from biologging devices have been compiled for an increasing number of diving predator species (such as pinnipeds, sea turtles, seabirds and cetaceans), enabling complex questions about animal activity budgets and habitat use to be addressed. Central to answering these questions is our ability to correctly identify and quantify the frequency of essential behaviours, such as foraging. Despite technological advances that have increased the quality and resolution of location and dive data, accurately interpreting behaviour from such data remains a challenge, and analytical methods are only beginning to unlock the full potential of existing datasets. This review evaluates both traditional and emerging methods and presents a starting platform of options for future studies of marine predator foraging ecology, particularly from location and two-dimensional (time-depth) dive data. We outline the different devices and data types available, discuss the limitations and advantages of commonly-used analytical techniques, and highlight key areas for future research. We focus our review on pinnipeds - one of the most studied taxa of marine predators - but offer insights that will be applicable to other air-breathing marine predator tracking studies. We highlight that traditionally-used methods for inferring foraging from location and dive data, such as first-passage time and dive shape analysis, have important caveats and limitations depending on the nature of the data and the research question. We suggest that more holistic statistical techniques, such as state-space models, which can synthesise multiple track, dive and environmental metrics whilst simultaneously accounting for measurement error, offer more robust alternatives. Finally, we identify a need for more research to elucidate the role of physical oceanography, device effects, study animal selection, and developmental stages in predator behaviour and data interpretation.
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A questão da magnetização remanescente na interpretação de anomalias magnéticas é frequentemente negligenciada, principalmente em função da dificuldade em se lidar com a mesma. Na maioria dos casos, tanto nos trabalhos acadêmicos quanto nos modelos que circulam nos meios profissionais da exploração mineral e de petróleo, assume-se que a magnetização remanescente é desprezível e utiliza-se apenas a induzida. O presente artigo mostra que o uso desse parâmetro é particularmente importante no tocante às anomalias magnéticas brasileiras, e procura fornecer subsídios para o uso desta informação. Discute-se o uso de duas técnicas consagradas, a Redução ao Pólo e o Sinal Analítico, em anomalias brasileiras com e sem magnetização remanescente. Mostramos a aplicação da técnica de determinação da magnetização total, permitindo que os modelos sejam construídos a partir da resultante da soma das magnetizações induzida e remanescente, e posteriormente apresentamos uma metodologia de uso da informação remanescente na datação das rochas fonte.
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O objetivo da revisão foi analisar aspectos conceituais e operacionais de sistemas de vigilância de eventos adversos pós-vacina. Foram incluídos artigos disponíveis em formato eletrônico, publicados entre 1985 e 2009, selecionados nas bases Medline/PubMed, com as palavras-chave: "adverse events following vaccine", "adverse events following vaccine surveillance", "post-marketing surveillance" e "safety vaccine" e "Phase IV clinical trials", e excluídos aqueles com foco em tipos específicos desses eventos. Foram apontados os principais aspectos que justificam a importância dos eventos adversos pós-vacina em saúde pública, os instrumentos que garantem a segurança das vacinas e as finalidades, atributos, tipos, interpretações de dados, limitações e novos desafios da vigilância de eventos adversos pós-vacina, bem como estratégias para aumentar sua sensibilidade. A revisão é concluída com desafios para os próximos anos, visando à segurança e confiabilidade dos programas de vacinação.
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O objetivo do estudo foi apresentar a fração da variância intrapessoal para ajuste da distribuição de nutrientes de adultos e idosos. Utilizaram-se dados de inquérito populacional com amostra representativa (n = 511) de indivíduos com 19 anos ou mais do município de São Paulo, SP, em 2007. A fração da variância intrapessoal foi obtida pelo método proposto pela Iowa State University. Observaram-se diferenças nas frações das variâncias intrapessoais de nutrientes segundo sexo. Esses valores devem ser utilizados para ajustar a distribuição da ingestão de nutrientes, pois sua não utilização pode resultar em viés na análise e interpretação de dados.
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Este trabalho apresenta, a partir de histórias de vida, características do processo de "encontro transformador" entre dois moradores de rua e uma professora, que foi "ponto de apoio" positivo em suas vidas. O "encontro transformador" é interação entre os seres humanos que possibilita a transformação dos envolvidos, no sentido de despertar suas potencialidades, a retomada do sentido da vida, promovendo-lhes a resiliência, que é a capacidade humana de fazer frente às adversidades da vida, superá-las e sair delas fortalecidos e, inclusive, transformados. O estudo longitudinal realizado envolveu o resgate de histórias de vida, através de entrevistas abertas, fotografias, registros em Diário de Campo e desenhos feitos pelos sujeitos de observação. Na interpretação dos dados contemplou-se o emprego de conceitos de determinadas teorias de: Psicologia, Geografia, Sociologia, Direito, Ciências da Educação, Complexidade e Sistêmica, em diálogo entre diferentes disciplinas. A análise do fenômeno - em que o morar na rua surgiu como situação existencial excludente - revelou nova configuração nas psiques dos moradores de rua, em movimento de transformação. No fenômeno observado - complexo - desvelou-se a dificuldade dos moradores de rua estudados de se manterem no processo resiliente sem o apoio efetivo da Sociedade Civil e do Estado, a partir de políticas públicas voltadas para esse tipo de população. Conclui-se pela importância dos resultados deste trabalho como contribuição para a ampliação de processos de formação, não só de profissionais que atuam com moradores de rua como de integrantes da sociedade em geral, norteados por uma visão solidária de busca de cidadania para todos.
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Analisar diferenças quanto a características sociodemográficas e relacionadas à saúde entre indivíduos com e sem linha telefônica residencial. Foram analisados os dados do Inquérito de Saúde (ISA-Capital) 2003, um estudo transversal realizado em São Paulo, SP, no mesmo ano. Os moradores que possuíam linha telefônica residencial foram comparados com os que disseram não possuir linha telefônica, segundo as variáveis sociodemográficas, de estilo de vida, estado de saúde e utilização de serviços de saúde. Foram estimados os vícios associados à não-cobertura por parte da população sem telefone, verificando-se sua diminuição após a utilização de ajustes de pós-estratificação. Dos 1.878 entrevistados acima de 18 anos, 80,1% possuía linha telefônica residencial. Na comparação entre os grupos, as principais diferenças sociodemográficas entre indivíduos que não possuíam linha residencial foram: menor idade, maior proporção de indivíduos de raça/cor negra e parda, menor proporção de entrevistados casada, maior proporção de desempregados e com menor escolaridade. Os moradores sem linha telefônica residencial realizavam menos exames de saúde, fumavam e bebiam mais. Ainda, esse grupo consumiu menos medicamentos, auto-avaliou-se em piores condições de saúde e usou mais o Sistema Único de Saúde. Ao se excluir da análise a população sem telefone, as estimativas de consultas odontológicas, alcoolismo, consumo de medicamentos e utilização do SUS para realização de Papanicolaou foram as que tiveram maior vício. Após o ajuste de pós-estratificação, houve diminuição do vício das estimativas para as variáveis associadas à posse de linha telefônica residencial. ) A exclusão dos moradores sem linha telefônica é uma das principais limitações das pesquisas realizadas por esse meio. No entanto, a utilização de técnicas estatísticas de ajustes de pós-estratificação permite a diminuição dos vícios de não cobertura