992 resultados para ML estimator


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O paracetamol é um fármaco de ação analgésica e antipirética, obtido através da metabolização da fenacetina, um analgésico derivado do alcatrão. Seu mecanismo de ação consiste em inibir a enzima responsável pela síntese de prostaglandina no cérebro, reduzindo a febre e induzindo a analgesia. O objetivo desse trabalho foi avaliar as possíveis alterações físicas e químicas da solução de paracetamol distribuída pelo Sistema Único de Saúde (SUS) por meio do estudo de estabilidade acelerada. Cada amostra foi armazenada em condições ambientais diferentes e foi analisada no momento inicial, após 60 dias e após 90 dias. As amostras foram examinadas segundo a Farmacopeia brasileira, quarta edição, nos requisitos de aspecto, pH e doseamento. Através do referido estudo, foi possível verificar que o método de espectrofotometria em UV não é recomendado para estudos de estabilidade térmica de solução de paracetamol, por sofrer interferência de seu produto de degradação.

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In this paper, we propose a two-step estimator for panel data models in which a binary covariate is endogenous. In the first stage, a random-effects probit model is estimated, having the endogenous variable as the left-hand side variable. Correction terms are then constructed and included in the main regression.

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Monoidal logic, ML for short, which formalized the fuzzy logics of continuous t-norms and their residua, has arisen great interest, since it has been applied to fuzzy mathematics, artificial intelligence, and other areas. It is clear that fuzzy logics basically try to represent imperfect or fuzzy information aiming to model the natural human reasoning. On the other hand, in order to deal with imprecision in the computational representation of real numbers, the use of intervals have been proposed, as it can guarantee that the results of numerical computation are in a bounded interval, controlling, in this way, the numerical errors produced by successive roundings. There are several ways to connect both areas; the most usual one is to consider interval membership degrees. The algebraic counterpart of ML is ML-algebra, an interesting structure due to the fact that by adding some properties it is possible to reach different classes of residuated lattices. We propose to apply an interval constructor to ML-algebras and some of their subclasses, to verify some properties within these algebras, in addition to the analysis of the algebraic aspects of them

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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In most studies on beef cattle longevity, only the cows reaching a given number of calvings by a specific age are considered in the analyses. With the aim of evaluating all cows with productive life in herds, taking into consideration the different forms of management on each farm, it was proposed to measure cow longevity from age at last calving (ALC), that is, the most recent calving registered in the files. The objective was to characterize this trait in order to study the longevity of Nellore cattle, using the Kaplan-Meier estimators and the Cox model. The covariables and class effects considered in the models were age at first calving (AFC), year and season of birth of the cow and farm. The variable studied (ALC) was classified as presenting complete information (uncensored = 1) or incomplete information (censored = 0), using the criterion of the difference between the date of each cow's last calving and the date of the latest calving at each farm. If this difference was >36 months, the cow was considered to have failed. If not, this cow was censored, thus indicating that future calving remained possible for this cow. The records of 11 791 animals from 22 farms within the Nellore Breed Genetic Improvement Program ('Nellore Brazil') were used. In the estimation process using the Kaplan-Meier model, the variable of AFC was classified into three age groups. In individual analyses, the log-rank test and the Wilcoxon test in the Kaplan-Meier model showed that all covariables and class effects had significant effects (P < 0.05) on ALC. In the analysis considering all covariables and class effects, using the Wald test in the Cox model, only the season of birth of the cow was not significant for ALC (P > 0.05). This analysis indicated that each month added to AFC diminished the risk of the cow's failure in the herd by 2%. Nonetheless, this does not imply that animals with younger AFC had less profitability. Cows with greater numbers of calvings were more precocious than those with fewer calvings. Copyright © The Animal Consortium 2012.

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Pós-graduação em Biologia Geral e Aplicada - IBB

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A hanseníase, doença milenar, ainda constitui um grande desafio para a saúde pública, inclusive no que se refere a diagnóstico precoce e vigilância em saúde. Com objetivo de estimar a soroprevalência de anticorpos antiPGL-1 através do teste rápido ML-Flow em casos de hanseníase e seus contatos intradomiciliares de municípios endêmicos do Pará, realizou-se um estudo transversal incluindo 73 casos novos de hanseníase e 135 contatos intradomiciliares, selecionados no período de abril de 2011 a janeiro de 2012, nas unidades de referência para tratamento de hanseníase nos municípios de Belém, Marituba, Igarapé-Açú e Santarém. Os resultados demonstraram uma prevalência de 14,8/10.000hab de casos de hanseníase entre os contatos examinados. A soropositividade do ML Flow nos casos índices foi de 53,42% em pacientes multibacilares e 13,33% nos contatos intradomiciliares. Houve associação direta de positividade do ML Flow nos contatos intradomiciliares com o índice baciloscópico do caso índice. Não houve associação direta do tempo de convivência e a consanguineidade do caso índice em relação ao teste ML Flow. Houve associação entre a positividade do teste ML Flow e a realização da vacina BCG entre os contatos. Estes resultados indicam que a introdução do teste ML Flow poderia servir como instrumento auxiliar no monitoramento dos casos e seus contatos, tornando-se de grande relevância na vigilância epidemiológica da hanseníase.

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The aim of this study was to evaluate the local anesthetic solution, composed by Prilocaine 3% and felipressin 0,03 UI/ml, influence on the alveolar repair process in rats after dental extraction. This research was previously approved by the Ethic Committee in Research of the Masters Degree Program in Oral and Maxillofacial Surgery of the Marília University (UNIMAR), Marília, São Paulo, Brazil. It was an experimental, randomly controlled study, with bifactorial analysis (group control versus experimental group, in function of the postoperative times (2 X 4)). For the accomplishment of this study 32 rats were used (Rattus norvegicus, albinus, Wistar), males, adults, weighing between 280 and 320 grams. The animals were selected and divided into Group I (control) and Group II (Citocain 3%® - Prilocaine 3% with felipressin 0,03UI/ml) with 16 rats each; being four animals of the Group I and four of the Group II, destined to the euthanasia in the postoperative periods of 3rd, 7th, 15th and 24th days. The histological analysis with base in the developed methodology, allowed us to conclude that the anesthetic solution of Citocain 3%® applied with gauze compress on the surgical dental wound, produced tissue events that committed the basic biological principles, that are responsible for the regeneration of the gingival epithelium and the alveolar process repair in rats. The Group I presented better results in the alveolar repair when compared to the Group II.

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Nebulized l-epinephrine has been recommended for the treatment of viral croup. However, the few studies assessing its effect on post-extubation stridor (PES) have shown conflicting results. We compared the efficacy and safety of nebulized l-epinephrine at three different doses for the treatment of PES. We conducted a prospective, randomized, double-blind trial including all consecutive children with a PES score of a parts per thousand yen4 (Westley score). The primary efficacy outcome was change in PES score at 40 min. A reduction of a parts per thousand yen2 points in stridor score was defined as clinically significant. A total of 96 patients were randomly assigned to receive one of three doses of nebulized l-epinephrine upon achieving a PES score of 4 or more following extubation. Stridor score and vital signs were recorded before treatment, and at 20, 40, 60 and 180 min after nebulization. Baseline characteristics were similar among all study groups. No significant difference was detected among the treatments based on change in Westley score by intent-to-treat analysis. In addition, the difference in the number of patients who clinically improved among the treatment groups was not significant (p = 0.54). Patients receiving 5 ml nebulized epinephrine had a significant increase of systolic and diastolic blood pressure at 40 and 180 min. Nebulized l-epinephrine at doses of 0.5, 2.5 and 5 ml demonstrated a lack of dose response in effect on PES and a modestly clinically significant increase in undesired side effects (heart rate and blood pressure) at higher doses.

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The autoregressive (AR) estimator, a non-parametric method, is used to analyze functional magnetic resonance imaging (fMRI) data. The same method has been used, with success, in several other time series data analysis. It uses exclusively the available experimental data points to estimate the most plausible power spectra compatible with the experimental data and there is no need to make any assumption about non-measured points. The time series, obtained from fMRI block paradigm data, is analyzed by the AR method to determine the brain active regions involved in the processing of a given stimulus. This method is considerably more reliable than the fast Fourier transform or the parametric methods. The time series corresponding to each image pixel is analyzed using the AR estimator and the corresponding poles are obtained. The pole distribution gives the shape of power spectra, and the pixels with poles at the stimulation frequency are considered as the active regions. The method was applied in simulated and real data, its superiority is shown by the receiver operating characteristic curves which were obtained using the simulated data.

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This work proposes the development of an Adaptive Neuro-fuzzy Inference System (ANFIS) estimator applied to speed control in a three-phase induction motor sensorless drive. Usually, ANFIS is used to replace the traditional PI controller in induction motor drives. The evaluation of the estimation capability of the ANFIS in a sensorless drive is one of the contributions of this work. The ANFIS speed estimator is validated in a magnetizing flux oriented control scheme, consisting in one more contribution. As an open-loop estimator, it is applied to moderate performance drives and it is not the proposal of this work to solve the low and zero speed estimation problems. Simulations to evaluate the performance of the estimator considering the vector drive system were done from the Matlab/Simulink(R) software. To determine the benefits of the proposed model, a practical system was implemented using a voltage source inverter (VSI) to drive the motor and the vector control including the ANFIS estimator, which is carried out by the Real Time Toolbox from Matlab/Simulink(R) software and a data acquisition card from National Instruments.