259 resultados para summarizing
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O objetivo principal desta dissertação é apresentar uma solução eficiente, prática e de simples implementação para um problema recorrente em projetos de controladores robustos multivariáveis do tipo LQG/LTR: a elevada ordem que estes controladores podem obter dependendo das complicações apresentadas pelo sistema dificultando para que este possa ser controlado de maneira satisfatória. Para que esta meta seja alcançada, é apresentada uma técnica de redução do modelo de sistemas com metodologia bastante descomplicada, dispensando qualquer necessidade de complexas programações para a sua utilização. Esta metodologia porém, é somente aplicável a uma classe bastante específica de sistema. Em suma, o sistema deve possuir variáveis de estado desacopladas do restante do sistema, ou seja, variáveis que não sofram influências de outras e que também não provoquem grande efeito nas saídas do sistema. Foi escolhido um sistema multivariável de sexta ordem, com duas entradas e duas saídas para que a técnica de redução de ordem de modelo seja testada. Este sistema possui as características especiais mencionadas anteriormente bem como exige o projeto de compensador dinâmico e a adição de integradores às suas saídas para que seja controlado adequadamente. Este trabalho pretende apresentar o procedimento de todo o projeto mencionado, desde a obtenção de um modelo de ordem reduzida até a implementação do controlador LQG/LTR. Em seguida, o controlador obtido é testado através de diversas simulações e os resultados encontrados são discutidos para a avaliação da eficácia e da praticidade do método proposto para obtenção de controladores de ordem reduzida.
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A Hipertensão Arterial Sistêmica (HAS) é uma condição associada a elevados índices de morbidade e mortalidade com baixas taxas de controle, sendo um dos mais importantes problemas de saúde publica no mundo. Trata-se de um estudo descritivo exploratório de natureza transversal e observacional, realizado em cinco unidades de saúde do Distrito Administrativo DAGUA, localizadas no municipio de Belém-PA, no período entre março de 2010 a agosto de 2011. A pesquisa também realizou estudo documental onde informações foram transcritas, para formulários da pesquisa. Este estudo buscou conhecer a logística de suprimento e o perfil de utilização de medicamentos para o controle da Pressão Arterial Sistêmica no Distrito Administrativo DAGUA. Para tanto foram investigados o perfil sóciodemográfico dos participantes do programa HIPERDIA, quais os medicamentos disponibilizados pela rede municipal de saúde para o tratamento da HAS, assim como a logística empregada pelo município para a disponbibilidade de acesso aos mesmos. A população deste estudo se caracterizou por ser principalmente idosa, com baixa escolaridade e predominantemente formada por pardos. Observou-se, que 53,78% dos pacientes faz uso de monoterapia e 46,22% de politerapia. 36,84% utiliza somente Captopril. 65,31% dos pacientes que fazem politerapia utilizam a associação de Captopril e hidroclorotiazida. Não se encontrou correlações significativas entre os aspectos socioeconômicos dos participantes e o controle dos níveis de pressão arterial. O conhecimento sobre a HAS não influenciou os resultados da PA. 51,96% dos pacientes apresenta PA não controlada. Em função da falta de abastecimento de medicamentos nas unidades de saúde e do perfil socioeconômico dos usuários, o Programa Farmácia Popular do Brasil apresenta-se como uma importante estrátegia para o acesso desses pacientes ao seu tratamento. Por fim, resumindo os achados, observou-se que o ciclo logístico da Assistência Farmacêutica em Belém – em especial as etapas de programação, aquisição e dispensação de medicamentos – não respeita o atual arcabouço legal que regulamenta a Política Nacional de Assistência Farmacêutica. Contatou-se falta de uniformização entre os medicamentos programados para unidades localizadas na mesma região, além da grande diferença entre as condições de compra dos medicamentos quando comparado a outras licitações, que chegam a gerar diferenças de preços de até 3000%. Conclui-se que que a gestão técnica da assistência farmacêutica no município de Belém é inefetiva e ineficiente para o cuidado de pacientes portadores de Hipertensão Arterial Sistêmica.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Autogenous bone grafting is the gold-standard technique for bone augmentation procedures prior to implant placement. If the amount of available intraoral donor bone is insufficient, it is necessary to harvest bone graft from extraoral sites, such as calvaria. Although this technique is well established, only a few case reports show the histological analysis of the grafted bone at the moment of implant placement. This article reports the case of a 48-year-old female patient with a critical atrophic maxillary ridge reconstructed using autogenous calvarial bone graft prior to implant placement, with clinical and histological evaluation. Bone was collected under general anesthesia from the parietal bone. The outer cortical originated the bone blocks, and the medullar bone layer between was collected to be used in the sinus augmentation procedure, together with 5 of the bone blocks triturated. Six months after bone augmentation, 8 implants were placed in the grafted area and 2 biopsies were retrieved (anterior and the posterior regions), allowing the visualization of the bone-remodeling process in the grafted areas. The patient had a stable recovery. Our results showed that although necrotic bone could still be seen in the outer layer of the grafted area, the interface between this necrotic bone and the already remodeled bone was consistent with biocompatibility. Two-year radiographic evaluation showed success of the grafts and the implants in supporting an esthetic and functionally stable prosthesis. Summarizing, calvarial bone grafts are a viable alternative for the attainment of adequate bone volume prior to implant placement.
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This work has as purpose to show what are the influences of media in the education and in the shaping the thinking and understand that ideologies are present in the films used in the classroom in kindergarten. For this, I directed the discussion beginning by concepts as Ideology and its more different definitions by several thinkers over the years, the thinkers of Critical Theory of Frankfurt School, called “frankfurtians” of first and second generation of this school, also making an association between Cinema and Education, evidencing concepts involving this association as Cultural Industry, using films properly in classrooms in kindergarten, with the teacher as mediator and then discussed what amounts of movies on children's education, how they assist and deepen the knowledge developed by students in schools of infantile education. Additionally, they are exposed the different opinions about the subject Film and Education for students from kindergarten, what benefits and what disadvantages in the use of films, the different opinions on the subject. We also discuss, in this work, the ideologies present in three films produced by Walt Disney, they are Cinderella, Snow White and the Seven Dwarfs and Alice in Wonderland, relating them to how they can contribute to the development and learning students in kindergarten. I associated more as possible the previous discussions to analyze the ideologies present in these films, by summarizing these, and decomposing them through an analysis tool called frame. Finally, I completed everything that was discussed and analyzed, which students in kindergarten may develop with the use of films in schools, what they contribute, in some way, for the learning and education of students as viewers using the school as access to different cultures and the teacher as a mediator of this relationship
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Acupuncture is a technique belonging to traditional Chinese medicine that has existed for over 3000 years. It consists of stimuli by pressure, needling, heat and electrical stimulation of the skin at specific points to restore the health of patients. This technique has been increasingly incorporated into the West and therefore the research explaining its various mechanisms become very important to translate these ancient skills. This article is a literature review summarizing the basic concepts, historical and local, anti-inflammatory and neurological effects acupuncture in the body
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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The main goal of this work is to build a sketch on how language is used in mathematics classrooms. We specifically try to understand how teachers use language in order to share meanings with their students. We initially present our main intentions, summarizing some studies that are close to our purposes. The two theoretical frameworks which support our study – the Model of Semantic Fields and the Wittgensteinian “games of language” – are then presented and discussed about their similarities and distinctions. Our empirical data are some classroom activities recorded and turned into “clips”. Such clips were transcribed and our analysis was based on these transcriptions. Data analysis – developed according to our theoretical framework – allowed us to build the so-called “events” and, then, comment on some understandings on how language can be used in mathematics classrooms.
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The lack of motivation and the excessive quantity of subject memorization are some of the main causes for the disinterest of students when learning chemistry. To change this scene, it's necessary that the teachers reinvent themselves and innovate during their classes, making use of alternative methodologies for the chemistry teaching process. The objectives of this work are to evaluate, from a constructive methodology approach, the characteristics, possibilities and limitations of some techniques and methods of teaching. This analysis allowed to present the results in the form of a table summarizing these characteristics and can be useful for teachers to choose the right strategy to be used
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This action research study of twenty students in my sixth grade mathematics classroom examines the implementation of summarization strategies. Students were taught how to summarize concepts and how to explain their thinking in different ways to the teacher and their peers. Through analysis of students’ summaries of concepts from lessons that I taught, tests scores, and student journals and interviews, I discovered that summarizing mathematical concepts offers students an engaging opportunity to better understand those concepts and render that understanding more visible to the teacher. This analysis suggests that non-traditional summarization, such as verbal and written strategies, and strategies involving movement and discussions, can be useful in mathematics classrooms to improve student understanding, engagement in learning tasks, and as a form of formative assessment.
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We review recent visualization techniques aimed at supporting tasks that require the analysis of text documents, from approaches targeted at visually summarizing the relevant content of a single document to those aimed at assisting exploratory investigation of whole collections of documents.Techniques are organized considering their target input materialeither single texts or collections of textsand their focus, which may be at displaying content, emphasizing relevant relationships, highlighting the temporal evolution of a document or collection, or helping users to handle results from a query posed to a search engine.We describe the approaches adopted by distinct techniques and briefly review the strategies they employ to obtain meaningful text models, discuss how they extract the information required to produce representative visualizations, the tasks they intend to support and the interaction issues involved, and strengths and limitations. Finally, we show a summary of techniques, highlighting their goals and distinguishing characteristics. We also briefly discuss some open problems and research directions in the fields of visual text mining and text analytics.
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The objective of this cross-sectional study was to analyze therapeutic communication techniques used by health workers with patients under care for diabetes mellitus. Data were collected in 2010 in a public facility in the interior of Ceara, Brazil using video camera equipment and direct observation. Results showed that the most frequently used techniques within the "expression" group were: asking questions, voicing interest, and using descriptive phrases. The most frequently used technique within the "clarification" group was: asking the patient to specify the agent of action. Finally, in regard to the "validation" group, only the technique "summarizing content of the interaction" was employed. The conclusion is that despite the use of communication techniques on the part of professionals, there is still an alarming gap concerning communication skills. Such skills should be allied with technical expertise to enable the delivery of qualified care to individuals with diabetes mellitus.
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Paraehlersia San Martin, 2003 is reported for the first time for the Atlantic coast off South America based on specimens collected off Brazil and Argentina. The specimens belong to two new species, which are herein described. Paraehlersia longichaetosa sp. nov., is characterized by having spiniger-like chaetae with long blades, up to 120 mu m in length, bidentate anterior falcigers, with relatively coarse subdistal tooth, bidentate dorsal simple chaetae, with teeth about same size, and subdistally irregularly inflated aciculae, apparently hollow, with acute tip. Paraehlersia martapolae sp. nov., has spiniger-like chaetae with shorter blades, up to 82 mu m in length, bidentate falcigers, with thin subdistal tooth, distally irregularly rounded dorsal simple chaetae, and aciculae subdistally bent at almost right angle, sometimes with apparently flattened top. These new species are compared to their most similar congeners. Additionally, a table summarizing relevant morphological traits of all currently known species of Paraehlersia is included.
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This is an integrative literature review with the aim of summarizing the prevention measures and treatment of thrombotic obstruction of long-term semi-implanted central venous catheters, in patients undergoing hematopoietic stem cell transplantation. The sample consisted of seven studies, being two randomized controlled clinical trials, three cohort studies and two case series. Regarding the prevention measures, one single study demonstrated effectiveness, which was a cohort study on the oral use of warfarin. In relation to the treatment measures, three studies evidenced effectiveness, one highlighted the efficacy of streptokinase or urokinase, one demonstrated the benefit of using low-molecular-weight heparin and the other treated the obstruction with heparin or urokinase. Catheter patency research shows a restricted evolution that does not follow the evolution of transplantations, mainly regarding nursing care.
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In this work we aim to propose a new approach for preliminary epidemiological studies on Standardized Mortality Ratios (SMR) collected in many spatial regions. A preliminary study on SMRs aims to formulate hypotheses to be investigated via individual epidemiological studies that avoid bias carried on by aggregated analyses. Starting from collecting disease counts and calculating expected disease counts by means of reference population disease rates, in each area an SMR is derived as the MLE under the Poisson assumption on each observation. Such estimators have high standard errors in small areas, i.e. where the expected count is low either because of the low population underlying the area or the rarity of the disease under study. Disease mapping models and other techniques for screening disease rates among the map aiming to detect anomalies and possible high-risk areas have been proposed in literature according to the classic and the Bayesian paradigm. Our proposal is approaching this issue by a decision-oriented method, which focus on multiple testing control, without however leaving the preliminary study perspective that an analysis on SMR indicators is asked to. We implement the control of the FDR, a quantity largely used to address multiple comparisons problems in the eld of microarray data analysis but which is not usually employed in disease mapping. Controlling the FDR means providing an estimate of the FDR for a set of rejected null hypotheses. The small areas issue arises diculties in applying traditional methods for FDR estimation, that are usually based only on the p-values knowledge (Benjamini and Hochberg, 1995; Storey, 2003). Tests evaluated by a traditional p-value provide weak power in small areas, where the expected number of disease cases is small. Moreover tests cannot be assumed as independent when spatial correlation between SMRs is expected, neither they are identical distributed when population underlying the map is heterogeneous. The Bayesian paradigm oers a way to overcome the inappropriateness of p-values based methods. Another peculiarity of the present work is to propose a hierarchical full Bayesian model for FDR estimation in testing many null hypothesis of absence of risk.We will use concepts of Bayesian models for disease mapping, referring in particular to the Besag York and Mollié model (1991) often used in practice for its exible prior assumption on the risks distribution across regions. The borrowing of strength between prior and likelihood typical of a hierarchical Bayesian model takes the advantage of evaluating a singular test (i.e. a test in a singular area) by means of all observations in the map under study, rather than just by means of the singular observation. This allows to improve the power test in small areas and addressing more appropriately the spatial correlation issue that suggests that relative risks are closer in spatially contiguous regions. The proposed model aims to estimate the FDR by means of the MCMC estimated posterior probabilities b i's of the null hypothesis (absence of risk) for each area. An estimate of the expected FDR conditional on data (\FDR) can be calculated in any set of b i's relative to areas declared at high-risk (where thenull hypothesis is rejected) by averaging the b i's themselves. The\FDR can be used to provide an easy decision rule for selecting high-risk areas, i.e. selecting as many as possible areas such that the\FDR is non-lower than a prexed value; we call them\FDR based decision (or selection) rules. The sensitivity and specicity of such rule depend on the accuracy of the FDR estimate, the over-estimation of FDR causing a loss of power and the under-estimation of FDR producing a loss of specicity. Moreover, our model has the interesting feature of still being able to provide an estimate of relative risk values as in the Besag York and Mollié model (1991). A simulation study to evaluate the model performance in FDR estimation accuracy, sensitivity and specificity of the decision rule, and goodness of estimation of relative risks, was set up. We chose a real map from which we generated several spatial scenarios whose counts of disease vary according to the spatial correlation degree, the size areas, the number of areas where the null hypothesis is true and the risk level in the latter areas. In summarizing simulation results we will always consider the FDR estimation in sets constituted by all b i's selected lower than a threshold t. We will show graphs of the\FDR and the true FDR (known by simulation) plotted against a threshold t to assess the FDR estimation. Varying the threshold we can learn which FDR values can be accurately estimated by the practitioner willing to apply the model (by the closeness between\FDR and true FDR). By plotting the calculated sensitivity and specicity (both known by simulation) vs the\FDR we can check the sensitivity and specicity of the corresponding\FDR based decision rules. For investigating the over-smoothing level of relative risk estimates we will compare box-plots of such estimates in high-risk areas (known by simulation), obtained by both our model and the classic Besag York Mollié model. All the summary tools are worked out for all simulated scenarios (in total 54 scenarios). Results show that FDR is well estimated (in the worst case we get an overestimation, hence a conservative FDR control) in small areas, low risk levels and spatially correlated risks scenarios, that are our primary aims. In such scenarios we have good estimates of the FDR for all values less or equal than 0.10. The sensitivity of\FDR based decision rules is generally low but specicity is high. In such scenario the use of\FDR = 0:05 or\FDR = 0:10 based selection rule can be suggested. In cases where the number of true alternative hypotheses (number of true high-risk areas) is small, also FDR = 0:15 values are well estimated, and \FDR = 0:15 based decision rules gains power maintaining an high specicity. On the other hand, in non-small areas and non-small risk level scenarios the FDR is under-estimated unless for very small values of it (much lower than 0.05); this resulting in a loss of specicity of a\FDR = 0:05 based decision rule. In such scenario\FDR = 0:05 or, even worse,\FDR = 0:1 based decision rules cannot be suggested because the true FDR is actually much higher. As regards the relative risk estimation, our model achieves almost the same results of the classic Besag York Molliè model. For this reason, our model is interesting for its ability to perform both the estimation of relative risk values and the FDR control, except for non-small areas and large risk level scenarios. A case of study is nally presented to show how the method can be used in epidemiology.