868 resultados para data analysis software


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Introduction: Low back pain is characterized as pain between the inferior margins of the ribs to the gluteal fold, reaching about 80% of the population throughout life. Its repercussions can affect the functionality of the subjects in their daily activities. The aim was to investigate whether a relation between symptoms of pain in the lumbar region with range of motion and functional disability. Methods: We interviewed 101 subjects with a mean age of 22.61 ± 4.06 years, these 50 participants were 51 low back pain and other complaints of back pain. OS subjects were assessed for pain by Visual Analogue Scale (VAS), mobility Lumbar Schöbber test (TS), flexibility for the Test Sit and Reach (TSA) and feature the Oswestry Disability Index (IOI). For data analysis we used GraphPad Prism 5, the significance level was set at p ≤ 0.05. Results: No significant differences were found for the comparison between the TSA of the subjects with and without pain (p = 0.25), nor to compare the performance of the TS for the subjects with and without pain (p = 0.18). Conclusion: It is concluded that in cases evaluated the range of motion has no significant link with the pain but the pain in turn directly influence the functionality of them.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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We present an implementation of the F-statistic to carry out the first search in data from the Virgo laser interferometric gravitational wave detector for periodic gravitational waves from a priori unknown, isolated rotating neutron stars. We searched a frequency f(0) range from 100 Hz to 1 kHz and the frequency dependent spindown f(1) range from -1.6(f(0)/100 Hz) x 10(-9) Hz s(-1) to zero. A large part of this frequency-spindown space was unexplored by any of the all-sky searches published so far. Our method consisted of a coherent search over two-day periods using the F-statistic, followed by a search for coincidences among the candidates from the two-day segments. We have introduced a number of novel techniques and algorithms that allow the use of the fast Fourier transform (FFT) algorithm in the coherent part of the search resulting in a fifty-fold speed-up in computation of the F-statistic with respect to the algorithm used in the other pipelines. No significant gravitational wave signal was found. The sensitivity of the search was estimated by injecting signals into the data. In the most sensitive parts of the detector band more than 90% of signals would have been detected with dimensionless gravitational-wave amplitude greater than 5 x 10(-24).

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The head is the most important and specialized region in the body because it contains a range of specialized organs and, because it has interconnections between specialized organs, there is a great overlap of images. Thus, computed tomography (CT) helps in diagnosing diseases in this region, such as oral conditions, as they provide millimetric slices or cuts and demonstrate the relationship between the various anatomical structures involved, in volume and depth. Within dentistry, CT helps in the identification of pathological processes such as infection, tumors, visualization of embedded teeth and bone bed. This study aimed to assess the density of the mandibular alveolar bone at a determined point to later predict how periodontal disease is involved in bone resorption. For this, we performed a blind retrospective study (n = 124) of the CT scan files of dog skulls at FMVZ-UNESP in order to determine the density of the jaw bone using a Hounsfield scale, in the region of the dental apex of the cranial root of the first molar tooth in dogs. The results obtained were evaluated using mean and standard deviation (27.28 +/- 9.53 HU) in order to predict the normal density of the mandibular alveolar bone in the studied region. Thus, this data analysis allows a more concise evaluation of bone resorption of mandibular alveolar bone and, therefore, provides an adequate surgical planning in cases of osteosynthesis given mainly by the presence of installed periodontal disease.

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Atmospheric Discharges are responsible for several lost in the electrical system therefore it´s done studies to find ways to reduce the problem caused by discharges. This branch of engineering is necessary the gathering, stock and analysis of large quantity of data to validate or refuse the many studies produced about it The CENDAT proposed a project to collect data on induced voltages in distribution lines and current waveform of the lightning, but a difficulty that arose was the accumulation of data due to lack of manpower available to catalog all the data collected. Thinking in this difficulty, the engineer Acacio Silva Neto CENDAT´s researcher with trainees began to develop a program to solve this problem. This work keeps the development of this program in order to solve the problem of accumulation of data

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In this work was developed a fuzzy computational model type-2 predictive interval, using the software of the type-2 fuzzy MATLAB toolbox, the final idea is to estimate the number of hospitalizations of patients with respiratory diseases. The interest in the creation of this model is to assist in decision makeshift hospital environment, where there are no medical or professional equipment available to provide the care that the population need. It began working with the study of fuzzy logic, the fuzzy inference system and fuzzy toolbox. Through a real database provided by the Departamento de Informática do Sistema Único de Saúde (DATASUS) and Companhia de Tecnologia de Saneamento Básico (CETESB), was possible to start the model. The analyzed database is composed of the number of patients admitted with respiratory diseases a day for the public hospital in São José dos Campos, during the year 2009 and by factors such as PM10, SO2, wind and humidity. These factors were analyzed as input variables and, through these, is possible to get the number of admissions a day, which is the output variable of the model. For data analysis we used the fuzzy control method type-2 Mamdani. In the following steps the performance developed in this work was compared with the performance of the same model using fuzzy logic type-1. Finally, the validity of the models was estimated by the ROC curve

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The objective of this study was to develop a model that allows testing in the wind tunnel at high angles of attack and validates its most critical components by analyzing the results of simulations in finite element software. During the project this structure suffered major loads identified during the flight conditions and, from these, we calculated the stresses in critical regions defined as the parts of the model that have higher failure probabilities. All aspects associated with Load methods, mesh refining and stress analysis were taken into account in this approach. The selection of the analysis software was based on project needs, seeking greater ease of modeling and simulation. We opted for the software ANSYS® since the entire project is being developed in CAD platforms enabling a friendly integration between software's modeling and analysis

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Objectives: natural dentofacial changes and that induced by the Thurow modified extra oral appliance (TMEOA) were evaluated in this prospective study. Methodology: the data consisted of fifteen Class II division 1 children 7 to 10 years old, with anterior open bite and hiperdivergent facial pattern treated with the Thurow appliance and of fifteen Class II division 1 children followed longitudinally from 6 to 12 years of age without treatment (Burlington Growth Centre, Toronto University, Canada). The analyses were based in traditional measurements obtained in lateral cephalometric radiographs scanned with the aid of the software Radiocef Studio®. Radiographs were taken in the beginning and after 1 year of treatment for the treated group and at the 6, 9 and 12 years of age for the control group. Results: the data analysis showed that the TMEOA significantly reduced the SNA, ANB, AOBO, SNPOc SNPM, SGO/NMe, OJ e OB. On the other hand the appliance did not interfere with the SNB e SNPP. The natural growth promoted significant change in the ANB, AOBO, SNPOc, OJ e OB from 6 to 9 years and in the SNB, SNPOc e SGo/NMe from 9 to 12 years. The restriction of the maxillary growth (SNA), reduction of the skeletal discrepancy (ANB) and the reduction of the overjet (OJ) were significant with the treatment considering the natural growth as verified in the control group. Conclusion: the TMEOA corrected the skeletal Class II malocclusion by maxillary restriction, reducing the overjet, closing the anterior open bite and decreasing both the hyper divergent facial pattern and mandible plane inclination.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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The social networks on the internet have experienced rapid growth and joined millions of users in Brazil and throughout the world. Such networks allow groups of people to communicate and exchange information. Sharing information in files is also a growing activity on the internet and is done in various ways. However, applications are not yet available to enable file sharing on Facebook, the premier social network today. This study aims to investigate how users use Facebook, and their practices for file sharing. Due to the experimental nature of this research, we opted for a data collection survey, applied over the web. From the data analysis, we have found a frequent use of file sharing, but no interest in paid services. As for Facebook, there was an extensive use of applications. The set of results shows a favourable scenario for applications that allow file sharing on Facebook.

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Climatic factors directly influence growth and productivity of plants inside greenhouses, where temperature can be considered one of the major parameter in this context. Thus, the aim of this research was to develop a low cost device for thermal sensing and data acquisition, and use it in data collection and analysis of spatial variability of temperature inside a greenhouse with tropical climate. The developed equipment for thermal measurements showed a high degree of accuracy and fast responses in measurements, proving its efficiency. The data analysis interpretations were made from the elaborations of variograms and of tridimensional maps generated by a geostatistical software. The processed data analysis presented that a greenhouse without thermal control has spatial variations of air temperature, both in the sampled horizontals layers as in the three analyzed vertical columns, presenting variations of up to 3.6 ºC in certain times.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)