Qualidade de vida do servidor da Universidade Federal do Rio Grande do Norte em condição crônica de saúde

The study aimed to analyze the influence of chronic health conditions (CHC) on quality of life (QOL) of UFRN servers assaulted by CHC. It is a descriptive and cross-sectional study with prospective data and quantitative approach, accomplished in the ambulatory clinic of the Department of Server Assistance (DSA) of the Pro-Rectory of Human Resources, during three months. The sample was composed by accessibility, totaling 215 people, being 153 active and 62 inactive servers, in chronic health condition. The data were collected through the application of the sociodemographic characterization, health, environmental and laboral form, the Medical Outcome Study 36-Item Short Form (SF-36). The study was evaluated by the HUOL Ethics Committee (CAAE no. 0046.0.294.000.10), obtaining assent. The results were analyzed in the SPSS 15.0 program through the descriptive and inferential statistics. It was identified servants predominantly male (59,1%), under 60 years old, married or in stable union, Catholics, brown color, living in the capital and residents in own home. Regarding labor issues, there was a predominance of active servers technical-administrative with intermediate and medium level positions and small proportion of docents. Among the CHC, the non-communicable diseases - NCDs (95.8%) had a higher frequency, followed by persistent mental disorders - PMDs (18.6%) and, finally, the continuous and structural physical deficiency - CSPD (16.9 %). The QOL of servers was considered good, with a mean score of 72.5 points in the total score, with the most affected domains: physical (59.1), general health (66.2), bodily pain (66.3) and functional aspects (72.0). The mental health dimension (76.5) had a better average than the physical dimension (68.0 points). It was found that the decrease in QOL scores is significant statistically related to higher number of CHC (ρ <0.001), with no statistical significance regarding the functional situation (p = 0.259). The administrative technicians of elementary, primary, secondary levels and docents had the worst QOL scores. After the correlation analysis of CHC with the domains and dimensions of the SF-36, there was statistically significant, negative and weak correlation of the domains: functional aspect (ρ = 0.002, r = -0.207), physical aspects (ρ = 0.007; r = -0.183), vitality (ρ = 0.002, r = -0.213), social function (ρ = 0.000, r = -0.313), emotional aspects (ρ = 0.000, r = -0.293), mental health (ρ = 0.000 , r = -0.238), physical health dimension (ρ = 0.002, r = -0.210) and mental health dimension (ρ = 0.000, r = -0.298). The presence of PMD isolated or together, contributed to a lower SF-36 scores, being the domains variation of mean significant, except for bodily pain, general health and physical aspects. By correlating the categories of CHC and QOL, there was a weak correlation (r ≤ -0.376) and significant (ρ ≤ 0.011), mainly related to the NCD, PMDs and NCD + PMD, affecting the mental health, social function, emotional aspects, vitality and functional aspect domains. Front of the results, it was concludes that the servers quality of life is influenced by the CHC. Thus, it was inferred that the presence of CHC causes a negative effect on quality of life, leading the active and inactive servers to exposure their overall life activities and work over the years, due to the morbidity affected, mainly related to NCDs and PMDs. Descriptors: Quality of life. Chronic disease. Occupational Health. Nursing

Banco de sementes de plantas daninhas e sua correlação com a flora estabelecida no agroecossistema cana-crua

O conhecimento da composição específica do banco de sementes de plantas daninhas e a sua correlação com a flora estabelecida são importantes para nortear o manejo a ser adotado e a escolha dos herbicidas. A colheita mecanizada de cana-de-açúcar acarretou mudanças significativas na composição da flora infestante, quando proporcionou a manutenção de uma camada de palha, reduziu a movimentação do solo e dispensou a prática da queimada. Foram realizados levantamentos do banco de sementes e da flora de plantas daninhas que se estabeleceu em 28 talhões colhidos mecanicamente, sem queima prévia da palha. Com base nos dados de banco de sementes, efetuaram-se estudos fitossociológicos e de correlação entre a composição do banco de sementes e a flora emergida. As principais espécies presentes no banco de sementes foram as pertencentes à classe das dicotiledôneas anuais, com destaque para Amaranthus spp. e diversas espécies de Euphorbiaceae e Convolvulaceae. As sementes de gramíneas tradicionais da cultura tiveram pouca participação. O banco de sementes apresentou correlação não-significativa com a flora emergente, independentemente da época de colheita do talhão, da metodologia de quantificação do banco de sementes e das espécies de plantas daninhas.

Emprego de redes neurais artificiais supervisionadas e não supervisionadas no estudo de parâmetros reológicos de excipientes farmacêuticos sólidos

In this paper artificial neural network (ANN) based on supervised and unsupervised algorithms were investigated for use in the study of rheological parameters of solid pharmaceutical excipients, in order to develop computational tools for manufacturing solid dosage forms. Among four supervised neural networks investigated, the best learning performance was achieved by a feedfoward multilayer perceptron whose architectures was composed by eight neurons in the input layer, sixteen neurons in the hidden layer and one neuron in the output layer. Learning and predictive performance relative to repose angle was poor while to Carr index and Hausner ratio (CI and HR, respectively) showed very good fitting capacity and learning, therefore HR and CI were considered suitable descriptors for the next stage of development of supervised ANNs. Clustering capacity was evaluated for five unsupervised strategies. Network based on purely unsupervised competitive strategies, classic "Winner-Take-All", "Frequency-Sensitive Competitive Learning" and "Rival-Penalize Competitive Learning" (WTA, FSCL and RPCL, respectively) were able to perform clustering from database, however this classification was very poor, showing severe classification errors by grouping data with conflicting properties into the same cluster or even the same neuron. On the other hand it could not be established what was the criteria adopted by the neural network for those clustering. Self-Organizing Maps (SOM) and Neural Gas (NG) networks showed better clustering capacity. Both have recognized the two major groupings of data corresponding to lactose (LAC) and cellulose (CEL). However, SOM showed some errors in classify data from minority excipients, magnesium stearate (EMG) , talc (TLC) and attapulgite (ATP). NG network in turn performed a very consistent classification of data and solve the misclassification of SOM, being the most appropriate network for classifying data of the study. The use of NG network in pharmaceutical technology was still unpublished. NG therefore has great potential for use in the development of software for use in automated classification systems of pharmaceutical powders and as a new tool for mining and clustering data in drug development

A Proficiência escritora em matemática trabalhada nos livros didáticos dos 4º e 5º anos do ensino fundamental

Universidade Federal do Rio Grande do Norte

Avaliação da dor pós-operatória: análise em pacientes submetidos a cirurgias abdominais em um hospital universitário de Natal/RN

It is an exploratory and descriptive study made by a quantitative approach, developed among February and May 2010, aiming to assess the pain of patients underwent abdominal surgeries in a University Hospital, in Natal/RN; to identify the local and intensity of the pain based on Numerical Estimative Scale; to analyze the pain related to the sensorial-discriminative, motivational-affective and cognitive-assessment dimensions, using the McGill Questionnaire pain; to establish a relation between the pain process and age, gender, religion, and king of surgery; to identify the medicines efficiency used to control postoperative pain. The sample was composed by 253 patients underwent abdominal surgeries. The results showed a total of 63.63% females between 38 and 47 years of age (21.34%); illiterates (21.73%); married (64.03%), living in Natal and surroundings (67.97%) and Catholics (74.30%). In their first assessment, 84.19% showed postoperative pain; the pain was considered light in 18.97% of them, moderate in 21.74% and severe in 43.48%. The mean number of descriptors chosen through the McGill Questionnaire Pain was 10.78 (DP= 6.09) and pain rating 23.65 (DP= 15.93). The descriptors selected with higher frequency were: sickening pain (69.01%), tired (65.25%), thin (62.44%), bored (58.69%), ardor (46.48%), pointed (38.50%) and colic (35.21%). In their second assessment, 57.71% of patients didn t relate any postoperative pain and 42.29% were still complaining about the pain. After taking analgesic medication, just 41.90% of patients who had complete pain relief. The Pharmacological groups most used were: simple analgesic (37.86%), weak opioids (32.98%), AINES (19.85%) and strong opioid (9.31%). It was not found a significant postoperative pain variation related to the sexes, religion and kind of surgery. It was concluded there were a high level in the number of patients with postoperative pain, mainly in a severe scale. Less than half of patients had the pain relief. Then, it was observed there was not coherence between the pain intensity and the analgesic it was used. To solve or relieve this kind of problems is necessary a permanent education to the health professionals who works in this area

Caracterização morfológica de plantas de rambutan

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

Análise e classificação de imagens de lesões da pele por atributos de cor, forma e textura utilizando máquina de vetor de suporte

The skin cancer is the most common of all cancers and the increase of its incidence must, in part, caused by the behavior of the people in relation to the exposition to the sun. In Brazil, the non-melanoma skin cancer is the most incident in the majority of the regions. The dermatoscopy and videodermatoscopy are the main types of examinations for the diagnosis of dermatological illnesses of the skin. The field that involves the use of computational tools to help or follow medical diagnosis in dermatological injuries is seen as very recent. Some methods had been proposed for automatic classification of pathology of the skin using images. The present work has the objective to present a new intelligent methodology for analysis and classification of skin cancer images, based on the techniques of digital processing of images for extraction of color characteristics, forms and texture, using Wavelet Packet Transform (WPT) and learning techniques called Support Vector Machine (SVM). The Wavelet Packet Transform is applied for extraction of texture characteristics in the images. The WPT consists of a set of base functions that represents the image in different bands of frequency, each one with distinct resolutions corresponding to each scale. Moreover, the characteristics of color of the injury are also computed that are dependants of a visual context, influenced for the existing colors in its surround, and the attributes of form through the Fourier describers. The Support Vector Machine is used for the classification task, which is based on the minimization principles of the structural risk, coming from the statistical learning theory. The SVM has the objective to construct optimum hyperplanes that represent the separation between classes. The generated hyperplane is determined by a subset of the classes, called support vectors. For the used database in this work, the results had revealed a good performance getting a global rightness of 92,73% for melanoma, and 86% for non-melanoma and benign injuries. The extracted describers and the SVM classifier became a method capable to recognize and to classify the analyzed skin injuries

Classificação de distúrbios na rede elétrica usando redes neurais e wavelets

Post dispatch analysis of signals obtained from digital disturbances registers provide important information to identify and classify disturbances in systems, looking for a more efficient management of the supply. In order to enhance the task of identifying and classifying the disturbances - providing an automatic assessment - techniques of digital signal processing can be helpful. The Wavelet Transform has become a very efficient tool for the analysis of voltage or current signals, obtained immediately after disturbance s occurrences in the network. This work presents a methodology based on the Discrete Wavelet Transform to implement this process. It uses a comparison between distribution curves of signals energy, with and without disturbance. This is done for different resolution levels of its decomposition in order to obtain descriptors that permit its classification, using artificial neural networks

Reconhecimento de voz através de unidades menores do que a palavra, utilizando Wavelet Packet e SVM, em uma nova estrutura hierárquica de decisão

The automatic speech recognition by machine has been the target of researchers in the past five decades. In this period have been numerous advances, such as in the field of recognition of isolated words (commands), which has very high rates of recognition, currently. However, we are still far from developing a system that could have a performance similar to the human being (automatic continuous speech recognition). One of the great challenges of searches for continuous speech recognition is the large amount of pattern. The modern languages such as English, French, Spanish and Portuguese have approximately 500,000 words or patterns to be identified. The purpose of this study is to use smaller units than the word such as phonemes, syllables and difones units as the basis for the speech recognition, aiming to recognize any words without necessarily using them. The main goal is to reduce the restriction imposed by the excessive amount of patterns. In order to validate this proposal, the system was tested in the isolated word recognition in dependent-case. The phonemes characteristics of the Brazil s Portuguese language were used to developed the hierarchy decision system. These decisions are made through the use of neural networks SVM (Support Vector Machines). The main speech features used were obtained from the Wavelet Packet Transform. The descriptors MFCC (Mel-Frequency Cepstral Coefficient) are also used in this work. It was concluded that the method proposed in this work, showed good results in the steps of recognition of vowels, consonants (syllables) and words when compared with other existing methods in literature

Detecção e classificação de modos de operação do bombeio mecânico via cartas dinamométricas

The precision and the fast identification of abnormalities of bottom hole are essential to prevent damage and increase production in the oil industry. This work presents a study about a new automatic approach to the detection and the classification of operation mode in the Sucker-rod Pumping through dynamometric cards of bottom hole. The main idea is the recognition of the well production status through the image processing of the bottom s hole dynamometric card (Boundary Descriptors) and statistics and similarity mathematics tools, like Fourier Descriptor, Principal Components Analysis (PCA) and Euclidean Distance. In order to validate the proposal, the Sucker-Rod Pumping system real data are used

Sistema inteligente para detecção de vazamentos em dutos de petróleo usando transformada Wavelet e redes neurais

This work consists in the use of techniques of signals processing and artificial neural networks to identify leaks in pipes with multiphase flow. In the traditional methods of leak detection exists a great difficulty to mount a profile, that is adjusted to the found in real conditions of the oil transport. These difficult conditions go since the unevenly soil that cause columns or vacuum throughout pipelines until the presence of multiphases like water, gas and oil; plus other components as sand, which use to produce discontinuous flow off and diverse variations. To attenuate these difficulties, the transform wavelet was used to map the signal pressure in different resolution plan allowing the extraction of descriptors that identify leaks patterns and with then to provide training for the neural network to learning of how to classify this pattern and report whenever this characterize leaks. During the tests were used transient and regime signals and pipelines with punctures with size variations from ½' to 1' of diameter to simulate leaks and between Upanema and Estreito B, of the UN-RNCE of the Petrobras, where it was possible to detect leaks. The results show that the proposed descriptors considered, based in statistical methods applied in domain transform, are sufficient to identify leaks patterns and make it possible to train the neural classifier to indicate the occurrence of pipeline leaks

A formação pós-graduada em ensino de ciências naturais e matemática de docentes do IFRN: implicações na atuação docente

This research part of the educational context of the Federal Rio Grande do Norte, through the resumption of legal frameworks that characterize it as an institution belonging to the Federal Network of Professional Education and Technology Brazilian, with a focus on continued education policies for the servers who work there specifically teachers, especially those who have their work in the Teaching of Natural Science and Mathematics. To do this the cut in an agreement between the IFRN and UFRN PPGECNM through the professional master's degree Teaching of Natural Sciences and Mathematics. This agreement as we have research collaborators 08 master teachers who graduated in the period 2004 to 2010, so we undertook a qualitative and quantitative research aimed to conduct the study in general terms of description and analysis of the impacts caused by the formation of masters IFRN in PPGECNM UFRN, taking into account the production of the same academic (dissertation), his performance in the context of the institution and the historical, social, economic and political aspects involved, and also meet the guidelines of the project at the Observatory in 2008 - MEC / CAPES / BSD-P. We used the theoretical options methodological elements of Comprehensive Interview and multireferentiality, our data collection instrument was the main interview, we also performed the analysis of dissertations by lecturers and teachers featured, from the specific descriptors used in catalogs USP / IFUSP (1992, 1996) and UNICAMP / FE / CEDOC (1998) and by other researchers. In analyzing and understanding the speech of the interviewees were able to identify the implications of teacher education in the school context, the motivation to seek the Master; how was the construction of the object of study of the educational product and its use in teaching practice and intervention, the question of the role of master teachers in the school environment to the post master taking into account changes in professional performance and influence in the working groups, how does the use of research and investigation in the classroom after training and between training and educational quality in the context of IFRN. In reading and analysis of the dissertations were able to identify the main focus and under-explored thematic focus as well as the theoretical methodological references. At the end of the research developed a product that could be used for technical analysis studies and assessment in quantitative terms the results achieved by the master teachers IFRN through his training in PPGECNM UFRN

Caracterização da área de Ensino de Biologia e Ciências no mestrado profissional da UFRN a partir das dissertações

The deployment of master professionals in Mathematics and Science Teaching by CAPES provided an interesting perspective, involving institutional incentive to upgrade teacher training in this modality. In this sense, the objective was to map the profile of the candidates in the Graduate School of Natural Sciences and Mathematics UFRN (PPGECNM), develop a database with specific descriptors for dissertations and research the group creation biology research and dissertations produced by graduate students in the Master course. This thesis has three threads, where the first is entitled: "The teaching of science as part of research: emergency, improvement and current reflections", giving a brief description of the creation of graduate studies and the emergence of Brazil in Science education. The second topic: "Professional Masters in Teaching of Natural Sciences and Mathematics-UFRN: candidate profile the biological ', shows the general characteristics of PPGECNM-UFRN and who are the candidates seeking the biological area of the Graduate Program. The third topic. "The construction and consolidation of the research group in biology education in PPGECNM-UFRN", a survey was made of data on the creation of the research group in biology education from the analysis of academic productions of teachers and masters graduates this Masters course, for those involved, some additional interviews about the experience in training in biology education. Data used in these investigations related to these students correspond to the technical product to be used in other studies profile teachers /dissertations from the PPGECNM / UFRN. Research shows that: the existence of a larger number of postgraduate courses in the field of Science Education provides greater productivity in academic research on the subject, the emergence of a research group on education in biology, tied to a post degree in education, is an attraction to strengthen lines of research in science education by teachers researchers in other disciplines, the candidates seeking permanent area for research in biology education signals the importance of this investment because if shows the need to search for the continuing education of practicing teachers, demands with interests in investigations from real problems from school

A leitura e o leitor presumido nas avaliações oficiais

Este estudio se refiere a una investigación a cerca de la concepción de la lectura que subyace en la Matriz de Referencia de la Prueba Brasil, y, mediante las análisis del modelo 2009, entender lo que el lector se supone que responder en las preguntas de esta prueba. El estudio tiene como objetivo satisfacer se presume lector general para responder a las preguntas de prueba de Brasil y el mapa de la concepción de la lectura que subyace en la matriz de referencia tal prueba. Los objetivos específicos apuntan a examinar los temas de Prueba Brasil, identificando qué descriptores se materializan en el mismo, que son los más recurrentes. El estudio tiene como fundamentos los estudios bakhtinianos a cerca de los diálogos del linguaje (Bakhtin, 2003, 2008; Volochínov/Bakhtin, 1993) y la concepción de la lectura defendida por Geraldi (2007), Larossa (2001) y DeCerteau (1994). La investigación és caracterizada como cualitativo-interpretativo, con enfoque socio-histórico, y se encuentra dentro del campo de la Lingüística Aplicada, que en las últimas décadas ha demostrado contribuciones para la enseñanza de lenguas y formación docente. Para hacer el análisis de las pruebas, inicialmente construido una tabla (Tabla 1), que contiene los seis macrotópicos Matrix lengua portuguesa en la que estábamos repartiendo los descriptores presentes en las cuestiones de prueba referenciada relacionándolos con sus temas. Tras analizar la cuestión, con el fin de identificar al presunto lector a responder a estas preguntas. Mediante análisis de la Matriz de Referencia de la Prueba Brasil, entendemos que ella está de acuerdo con los Parámetros Curriculares de la Lengua Portuguesa. Así, la concepción que subyace en la lectura es que la lectura es una actividad que depende del proceso individual, pero que és parte de un contexto social e involucra a habilidades relacionadas con la comprensión y producción de sentido. Mediante la observación de la prueba, afirmamos qué el lector con la capacidad de responder a las preguntas es lo que desarrolla actitudes favorables a cerda de la lectura. A saber: (i) reconocen ampliamente las palabras, (ii) identifican los objetivos y funciones de la lectura, en reconocimiento de la función de apoyo de género y el contexto del texto, (iii) predice el contenido de los textos a se lee a la luz de su apoyo, su género y su contexto; (iv) plantea hipótesis sobre el contenido del texto que se lee, (v) es capaz de buscar ideas textual e intertextual. Es decir, hace inferencias, aumentando la comprensión, la asociación de diversos elementos presentes en el texto y que son parte de sus propias experiências personales, (vi) construye la comprensión global del texto leído por la unificación de la información explícita e implícita, (vii) tiene la capacidad de evaluar la lectura de forma ética y afectiva, o de hacer extrapolaciones coerentes sin escapar de la temática del texto. Por último, podemos decir que las implicaciones pedagógicas de este trabajo para mi actividad profesional es de gran importancia, ya que desde la detección de lo que se requiere de los estudiantes y, en consecuencia, un nuevo enfoque para la enseñanza de la lengua materna como podemos reflexionar sobre eso y encontrar maneras de mejorar nuestro desempeño. Tanto nuestro entrenador como nuestros compañeros. Dejando a un nivel puramente descriptivo de los problemas de acción conjunta más eficaz, entendiendo que la enseñanza de lectura tiene un carácter complejo. En este sentido, tenemos que ser menos intuitivo y más reflexiva. Nos gustaría hacer hincapié en que tenemos la intención de socializar esta investigación con nuestros compañeros, ya que entendemos que es un material que puede contribuir a un nuevo aprendizaje para la práctica de los profesores que se inclinan. Además indicó que la principal contribución de este trabajo es nuestra mirada en el proceso de la lectura en el aula, la comprensión de que el estudiante de ofertas diarias con textos localizados, derechos de autor, histórico y representativo de las diferentes interacciones en el mundo. Por lo tanto, es el momento de ser gestado las prácticas de lectura hacia una educación más significativa

Ventilação mecânica não-invasiva no pós-operatório de cirurgia cardíaca: atualização da literatura

Este estudo objetivou atualizar os conhecimentos em relação à utilização da ventilação mecânica não-invasiva (VMNI) no pós-operatório de cirurgia cardíaca e identificar se há indícios da superioridade de uma forma de modalidade de VMNI em relação à outra. Foi realizada revisão da literatura entre 2006 a 2011, a partir das bases de dados PubMed, SciELO e Lilacs, utilizando os descritores respiração artificial, pressão positiva contínua nas vias aéreas, ventilação com pressão positiva intermitente e cirurgia cardíaca, e seus correspondentes na língua inglesa, os quais foram pesquisados em cruzamentos. A partir dos critérios adotados, foram selecionados nove artigos, dos quais seis demonstraram aplicações de VMNI, por meio de modalidades como pressão positiva contínua nas vias aéreas, pressão positiva com dois níveis pressóricos e respiração com pressão positiva intermitente, no pós-operatório de cirurgia cardíaca, e, três realizaram comparações entre as diferentes modalidades. As modalidades de VMNI descritas na literatura foram utilizadas com resultados satisfatórios. Estudos que comparam diferentes modalidades são escassos, contudo alguns demonstraram superioridade de uma modalidade de VMNI, como é o caso da respiração com pressão positiva intermitente na reversão da hipoxemia e da pressão positiva com dois níveis pressóricos na melhora da oxigenação, da frequência respiratória e frequência cardíaca desses pacientes, em comparação a outras modalidades.