45 resultados para Classify
em Universidade Federal do Rio Grande do Norte(UFRN)
Resumo:
Hebb proposed that synapses between neurons that fire synchronously are strengthened, forming cell assemblies and phase sequences. The former, on a shorter scale, are ensembles of synchronized cells that function transiently as a closed processing system; the latter, on a larger scale, correspond to the sequential activation of cell assemblies able to represent percepts and behaviors. Nowadays, the recording of large neuronal populations allows for the detection of multiple cell assemblies. Within Hebb's theory, the next logical step is the analysis of phase sequences. Here we detected phase sequences as consecutive assembly activation patterns, and then analyzed their graph attributes in relation to behavior. We investigated action potentials recorded from the adult rat hippocampus and neocortex before, during and after novel object exploration (experimental periods). Within assembly graphs, each assembly corresponded to a node, and each edge corresponded to the temporal sequence of consecutive node activations. The sum of all assembly activations was proportional to firing rates, but the activity of individual assemblies was not. Assembly repertoire was stable across experimental periods, suggesting that novel experience does not create new assemblies in the adult rat. Assembly graph attributes, on the other hand, varied significantly across behavioral states and experimental periods, and were separable enough to correctly classify experimental periods (Naïve Bayes classifier; maximum AUROCs ranging from 0.55 to 0.99) and behavioral states (waking, slow wave sleep, and rapid eye movement sleep; maximum AUROCs ranging from 0.64 to 0.98). Our findings agree with Hebb's view that assemblies correspond to primitive building blocks of representation, nearly unchanged in the adult, while phase sequences are labile across behavioral states and change after novel experience. The results are compatible with a role for phase sequences in behavior and cognition.
Resumo:
The current study presents the characteristics of self-efficacy of students of Administration course, who work and do not work. The study was conducted through a field research, descriptive, addressed quantitatively using statistical procedures. Was studied a population composed of 394 students distributed in three Higher Education Institutions, in the metropolitan region of Belém, in the State of Pará. The sampling was not probabilistic by accessibility, with a sample of 254 subjects. The instrument for data collection was a questionnaire composed of a set of questions divided into three sections: the first related to sociodemographic data, the second section was built to identify the work situation of the respondent and the third section was built with issues related to General Perceived Self-Efficacy Scale proposed by Schwarzer and Jerusalem (1999). Sociodemographic data were processed using methods of descriptive statistics. This procedure allowed characterizing the subjects of the sample. To identify the work situation, the analysis of frequency and percentage was used, which allowed to classify in percentage, the respondents who worked and those that did not work, and the data related to the scale of self-efficacy were processed quantitatively by the method of multivariate statistics using the software of program Statistical Package for Social Sciences for Windows - SPSS, version 17 from the process of Exploratory Factor Analysis. This procedure allowed characterizing the students who worked and the students who did not worked. The results were discussed based on Social Cognitive Theory from the construct of self-efficacy of Albert Bandura (1977). The study results showed a young sample, composed the majority of single women with work experience, and indicated that the characteristics of self-efficacy of students who work and students who do not work are different. The self-efficacy beliefs of students who do not work are based on psychological expectations, whereas the students who work demonstrated that their efficacy beliefs are sustained by previous experiences. A student who does not work proved to be reliant in their abilities to achieve a successful performance in their activities, believing it to be easy to achieve your goals and to face difficult situations at work, simply by invest a necessary effort and trust in their abilities. One who has experience working proved to be reliant in their abilities to conduct courses of action, although know that it is not easy to achieve your goals, and in unexpected situations showed its ability to solve difficult problems
Resumo:
The Behavioral Finance develop as it is perceived anomalies in these markets efficient. This fields of study can be grouped into three major groups: heuristic bias, tying the shape and inefficient markets. The present study focuses on issues concerning the heuristics of representativeness and anchoring. This study aimed to identify the then under-reaction and over-reaction, as well as the existence of symmetry in the active first and second line of the Brazilian stock market. For this, it will be use the Fuzzy Logic and the indicators that classify groups studied from the Discriminant Analysis. The highest present, indicator in the period studied, was the Liabilities / Equity, demonstrating the importance of the moment to discriminate the assets to be considered "winners" and "losers." Note that in the MLCX biases over-reaction is concentrated in the period of financial crisis, and in the remaining periods of statistically significant biases, are obtained by sub-reactions. The latter would be in times of moderate levels of uncertainty. In the Small Caps the behavioral responses in 2005 and 2007 occur in reverse to those observed in the Mid-Large Cap. Now in times of crisis would have a marked conservatism while near the end of trading on the Bovespa speaker, accompanied by an increase of negotiations, there is an overreaction by investors. The other heuristics in SMLL occurred at the end of the period studied, this being a under-reaction and the other a over-reaction and the second occurring in a period of financial-economic more positive than the first. As regards the under / over-reactivity in both types, there is detected a predominance of either, which probably be different in the context in MLCX without crisis. For the period in which such phenomena occur in a statistically significant to note that, in most cases, such phenomena occur during the periods for MLCX while in SMLL not only biases are less present as there is no concentration of these at any time . Given the above, it is believed that while detecting the presence of bias behavior at certain times, these do not tend to appear to a specific type or heuristics and while there were some indications of a seasonal pattern in Mid- Large Caps, the same behavior does not seem to be repeated in Small Caps. The tests would then suggest that momentary failures in the Efficient Market Hypothesis when tested in semistrong form as stated by Behavioral Finance. This result confirms the theory by stating that not only rationality, but also human irrationality, is limited because it would act rationally in many circumstances
Resumo:
This paper proposes to analyse a situation of social drama involving the Krahô Indians (classified in ethnology as belonging to Jê-Timbira group) and the Museu Paulista of the Universidade de São Paulo, which we can classify as two distinct social fields. The understanding of the drama is conveyed through an examination of each of these fields and the coming together of both on the basis of the positions taken up, within the network of relationships established during the social process, by actors representing both the Krahô field and what we may call here the academic-administrative field. A multi-sited ethnographic approach is adopted, seeking the complexity of the drama and the positions in the aforementioned network, taking into consideration institutional political projects, personal projects and personal trajectories within a historical perspective. The aim is to encourage discussion of the relationship between the formation of the historical-scientific and ethnographic museums and the practices of the anthropological discipline, as well as the social role of these institutions and the processes of signification of objects belonging to the indigenous material culture
Resumo:
In the present study we elaborated algorithms by using concepts from percolation theory which analyze the connectivity conditions in geological models of petroleum reservoirs. From the petrophysical parameters such as permeability, porosity, transmittivity and others, which may be generated by any statistical process, it is possible to determine the portion of the model with more connected cells, what the interconnected wells are, and the critical path between injector and source wells. This allows to classify the reservoir according to the modeled petrophysical parameters. This also make it possible to determine the percentage of the reservoir to which each well is connected. Generally, the connected regions and the respective minima and/or maxima in the occurrence of the petrophysical parameters studied constitute a good manner to characterize a reservoir volumetrically. Therefore, the algorithms allow to optimize the positioning of wells, offering a preview of the general conditions of the given model s connectivity. The intent is not to evaluate geological models, but to show how to interpret the deposits, how their petrophysical characteristics are spatially distributed, and how the connections between the several parts of the system are resolved, showing their critical paths and backbones. The execution of these algorithms allows us to know the properties of the model s connectivity before the work on reservoir flux simulation is started
Resumo:
This master dissertation presents the study and implementation of inteligent algorithms to monitor the measurement of sensors involved in natural gas custody transfer processes. To create these algoritmhs Artificial Neural Networks are investigated because they have some particular properties, such as: learning, adaptation, prediction. A neural predictor is developed to reproduce the sensor output dynamic behavior, in such a way that its output is compared to the real sensor output. A recurrent neural network is used for this purpose, because of its ability to deal with dynamic information. The real sensor output and the estimated predictor output work as the basis for the creation of possible sensor fault detection and diagnosis strategies. Two competitive neural network architectures are investigated and their capabilities are used to classify different kinds of faults. The prediction algorithm and the fault detection classification strategies, as well as the obtained results, are presented
Resumo:
Produced water is characterized as one of the most common wastes generated during exploration and production of oil. This work aims to develop methodologies based on comparative statistical processes of hydrogeochemical analysis of production zones in order to minimize types of high-cost interventions to perform identification test fluids - TIF. For the study, 27 samples were collected from five different production zones were measured a total of 50 chemical species. After the chemical analysis was applied the statistical data, using the R Statistical Software, version 2.11.1. Statistical analysis was performed in three steps. In the first stage, the objective was to investigate the behavior of chemical species under study in each area of production through the descriptive graphical analysis. The second step was to identify a function that classify production zones from each sample, using discriminant analysis. In the training stage, the rate of correct classification function of discriminant analysis was 85.19%. The next stage of processing of the data used for Principal Component Analysis, by reducing the number of variables obtained from the linear combination of chemical species, try to improve the discriminant function obtained in the second stage and increase the discrimination power of the data, but the result was not satisfactory. In Profile Analysis curves were obtained for each production area, based on the characteristics of the chemical species present in each zone. With this study it was possible to develop a method using hydrochemistry and statistical analysis that can be used to distinguish the water produced in mature fields of oil, so that it is possible to identify the zone of production that is contributing to the excessive elevation of the water volume.
Resumo:
The relation between metabolic demand and maximal oxygen consumption during exercise have been investigated in different areas of knowledge. In the health field, the determination of maximal oxygen consumption (VO2max) is considered a method to classify the level of physical fitness or the risk of cardiocirculatory diseases. The accuracy to obtain data provides a better evaluation of functional responses and allows a reduction in the error margin at the moment of risk classification, as well as, at the moment of determination of aerobic exercise work load. In Brasil, the use of respirometry associated to ergometric test became an opition in the cardiorespiratory evaluation. This equipment allows predictions concerning the oxyredutase process, making it possible to identify physiological responses to physical effort as the respiratory threshold. This thesis focused in the development of mathematical models developed by multiple regression validated by the stepwise method, aiming to predict the VO2max based on respiratory responses to physical effort. The sample was composed of a ramdom sample of 181 healthy individuals, men and women, that were randomized to two groups: regression group and cross validation group (GV). The voluntiars were submitted to a incremental treadmill test; objetiving to determinate of the second respiratory threshold (LVII) and the Peak VO2max. Using the método forward addition method 11 models of VO2max prediction in trendmill were developded. No significative differences were found between the VO2max meansured and the predicted by models when they were compared using ANOVA One-Way and the Post Hoc test of Turkey. We concluded that the developed mathematical models allow a prediction of the VO2max of healthy young individuals based on the LVII
Resumo:
The acute myeloid leukemia (AML) is a disease in which malignant myeloblasts expand, build up and suppress normal hematopoietic activity would represent a major diagnostic challenge. With the advent of immunophenotyping by flow cytometry, the diagnosis of these tumors have become more faithful, facilitating the treatment and monitoring of patients. The objectives of this study: diagnosis and classification of AML based on immunophenotyping by flow cytometry with a panel of AcMo specific for acute leukemias, set the frequency of AML in samples from patients with acute leukemias sent to the Department of Hematology Blood Center of Rio Grande do Norte - HEMONORTE, establish standards of antigen expression for different subtypes of acute leukemia and its correlation with the newly diagnosed cases refractory to treatment and recurrence of the disease, standardization of methods for detection and labeling of surface antigens by flow cytometry and intracytoplasmic flow, and observe the frequency of acute leukemia with aberrant phenotypes rare. During the study, 351 were diagnosed acute leukemia, and 179 (51%) classified as AML and 172 (49%) and ALL, which were excluded from the present work. Of the 179 AML, 92 (51.4%) were female and 87 (48.6%) were male, with ages ranging from 3 to 95 years of ag, with higher incidence in individuals in the age group of 41 to 65. Splenomegaly was the clinical finding more present, a total of 147 cases (82.1%), followed by hepatomegaly present in 132 cases (73.7%). The hemorrhagic events were observed in 55 cases (30.7%). Lymphadenopathy in turn was detected in 20 of 179 cases (11.2%). In order to classify subtypes of AML, we used a large panel of monoclonal antibodies, obtaining the following results: AML M0, 02 (1.1%) AML M1, 40 (22.3) AML M2, 60 (33.5) AML M3, 22 (12.3%) AML M4, 10 (5.6) AML M5, 13 (7.3%) AML M6 06 (3.4%) and AML M7 01 (0.6%). We observed some cases with aberrant expression of some antigens such as CD7, CD4, CD19, CD3, CD5 and TdT, CD 7 was present in 30 (16.8%), CD4 in 5 (2.8%), the CD 3 in 5 (2.8%), the CD19 in 3 (1.7%), the CD5 in 3 (1.7%) and TDT was in 7 (3.9%) cases of AML .the CD8 and CD79a was present in only a 1 case.
Resumo:
Leukemia is a heterogeneous group of hematologic malignancies that result from partial or total transformation of the blast cells. The Acute Lymphoblastic Leukemia (ALL) is the most common malignancy in childhood, especially in male, Caucasian children younger than 14 years. Several criteria are adopted to classify ALL, including the cell morphology, cytochemistry, immunophenotyping and cytogenetic analysis. Cytogenetic studies allow a more detailed analysis to detect chromosomal abnormalities of leukemic cells. These modifications will determine the diagnosis, classification, stage characterization, remission assessment and prognosis. In this study were evaluated 30 patients, aged from four months to seventeen years, of both sexes and various ethnicities. The age distribution showed that 67% of patients had between one and ten years (with mean age of XX years old), the most prevalent ethnic was Caucasian (50%) and 57% were males. According to immunophenotype, 93% of patients had B-cells progenitor ALL and 7% early lineage T. Considering the total studied population, the most frequent medical findings were lymphadenopathy (37%), hepatomegaly (77%) and splenomegaly (70%), where one patient could present more than one of these medical findings. Regarding the CBC, the majority of patients had hemoglobin below 10 g / dl (73%), leukocyte count less than 10.000/μL (60%) and platelet count below 150.000/μL (83%). Chromosomal abnormalities were observed in 64% of all patients, where hyperdiploidy was the most common numerical change (67%), followed by hypodiploid (33%). All these data are in agreement with the literature. Moreover, complexes structural and/or number changes not yet described in literature were observed, which indicated poor prognosis. Finally, we concluded that this study demonstrated the importance of cytogenetic study in the diagnosis and identification of prognostic factors in pediatric patients with ALL in Rio Grande do Norte. The results obtained in this study are extremely useful and emphasizes that surveys of this nature must be conducted more frequently in our state
Resumo:
The elections for governor in 2006 with its victory Marcelo Déda Workers Party (PT), were a landmark in the state of Sergipe, for the first time, called progressive fronts (an alliance of parties formed mostly by origin of the left) broke the hegemony of two political groups, Franco and the Alves, whose direction was in force for over 30 years. This study proceeds on the assumption that the print media has certain standards of conduct in covering the election period. Therefore, this study seeks to quantify, classify and compare data from three newspapers more representative of the State of Sergipe (Cinform, Cidade Journal and Correio de Sergipe) to analyze the behavior of these journals, such as private apparatus of hegemony in election coverage 2006. It also uses the concept of hegemony Gramsci and theories of journalism framing (Entman and Porto) and agenda setting (McCombs and Shaw) to identify these patterns
Resumo:
The creative city can be identified by their cultural quarters, the existence of creative territories or the dynamics of a creative class. Whether we classify a city as creative, we can conceive that as creative environment charge of development of creativity in organizational settings, but also in urban dynamics and public participation itself. The creativity social phenomenon is an important and essential element but it is not the only contributor to the development of the creative environment. From the city of Natal, state of Rio Grande do Norte, we tried to identify and characterize statistically the main creative sectors. Thus, we set off for the application of semi-structured interviews in the three key creative sectors: Research, Architecture and Advertising. Besides, the proposal of a summary table of the analysis of the creative industries in the city of Natal, the research allowed to propose an analysis model of urban environment of a city whose main dimensions are population, cultural resources, networks and public policy
Resumo:
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
Resumo:
Descriptive exploratory study, with quantitative approach and prospective data performed on the Monsenhor Walfredo Gurgel Hospital Complex (MWGH), in Natal/RN, aiming to classify the type of motor vehicle involved in the accident, the public roadway s user quality and the more frequent injuries; to evaluate the severity of trauma in traffic accident victims; characterized the severity of the injuries and the trauma, and the type of motor vehicle involved. The population comprises 605 traffic accident victims, with data collected between October and December 2007. We used as a support for the evaluation of severity of injuries and trauma the Glasgow Coma Scale (GCSl), the Condensed Abbreviated Injury Scale (CAIS) and the Injury Severity Score (ISS). The results show that 82.8% of the victims were male; 78.4% were aged 18 to 38; the victims originating from the State s Countryside prevailed (43.1%); 24.3% of the population had completed middle-level instruction; 23.1% worked on commerce and auxiliary activities; most (79.4%) was catholic; 48.8% were married/consensual union; 76.2% earned up to two monthly minimum wages; Sunday was the day with the most accidents (25.1%); 47.4% were attended to in under an hour after the event; the motorcycle on its own was responsible for 53.2% of the accidents; 42.3% were attended to by the SAMU; 61.8% were victims of crashes; over half (53.4%) used individual protection equipment (IPE); 49.4% were helmets and 4.0% the seatbelt; 61.3% were motorcycle drivers; 43.3% of the accidents took place in the afternoon shift; from 395 drivers, 55.2% were licensed, and 50.7% among those had been licensed for 1 to 5 years; 90.7% of the victims had GCS1 between 13 and 15 points at the time of evaluation; the body area most affected was the external surface (35.9%); 38.8% of the injuries were light or moderate (AIS=1 and AIS=2); 83.2% had light trauma (ISS between 1 and 15 points). In face of the results, we can conclude that there is a risk for the elevation of injury severity and trauma resulting from traffic accidents, when these events are related to certain variables such as gender, age, weekday, the interval between the accident and the first care, ingestion of drugs, type of accident, the public roadway s user quality, the use of IPE, day shift, body regions and the type of motor vehicle involved in the accident
Resumo:
Nursing as a profession goes in search on quality of their care through new frameworks, trying to break postures of the health care system so fragmented in the care. To change professional practices, it is necessary to build their own knowledge grounded on Nursing Care System. The aim of this study was to analyze the influence of nurses' knowledge on care systematization in nursing in the University Hospital Natal-RN. It is an analytical descriptive study carried out at the Onofre Lopes University Hospital (HUOL), Natal-RN, 2010, the sample was composed of 40 active nurses working in hospitalization units of the hospital, the inclusion criteria were being in the monthly scale sector and agree to participate in the study. The non-participant observation and another interview were used for collecting data, statistical analysis was descriptive and inferential with reliability test, Pearson test, chi-square and Fischer, the variables that correlated were analyzed in a model Multiple logistic , calculating odds ratio. The results were: predominance of female professionals (90%), predominantly in the age range 39-46 years (37.5%), nurses who have the undergraduate degree at the Federal University of Rio Grande do Norte (80%), and who have expertise training as a minimal degree (62.5%). Among the surveyed, the knowledge showed significance with the graduation time (p = 0.018) and time working in HUOL (p = 0.036). The majority of the professionals surveyed do not know which organ is responsible for the SAE legislation (52.5%), aware of the steps needed to build the nursing diagnosis (92.5%), understand the characteristics of nursing planning (90% ). However the same professionals do not perform physical examination in patients (50.0%) did not classify the clinical findings (68.4%), and identify the problems encountered as a classification (13.2%). The planning of nursing care is carried out by verbal order of nurses (82.5%), 41% of the professionals assess only the intervention stage, in other words, the actions taken. Regarding the practical application of nursing records 53% of nurses do not realize records, 30.8% is incomplete, the other held notes (p = 0.003). The nurses know the nursing process (90% of appropriate responses), despite the actions defined by the theory are not applied in practice. Investigators believe the condition of the hospital teacher (22.5%) could positively affect the implementation of the SAE associated with the interest of professionals (20%). Of the respondents, 17.5% accept as truth the lack of facilities to assist the SAE implementation in the hospital. It was concluded that nurses know the theory that underlies the SAE and the nursing process, but do not develop the service know as well, there is need for action to boost the SAE implementation as practice of nurses in the hospital investigated