Avaliação de efeitos biológicos de antiinflamatórios derivados do ácido propiônico através de modelos experimentais em nível molecular e celular

Derivatives of propionic acid NSAIDs are irreversible inhibitors of cyclooxygenase enzyme widely used. The aim of this study was to evaluate, through different experimental models, biological effects of derivatives of propionic acid (fenoprofen, naproxen, ibuprofen and ketoprofen) in cellular and molecular level. The labeling of blood constituents with technetium-99m (99mTc) and morphological analysis of erythrocytes of blood of rats, as well as growth, survival of cultures of Escherichia coli (E. coli) and the assessment of bacterial plasmid electrophoretic profiles were models used for experimental evaluation of possible biological effects of antiinflammatory drugs. The results show that, in general, anti-inflammatory drugs evaluated were not able to alter the labeling of blood constituents with 99mTc, the morphology of red blood cells from blood of rats, as well as the growth of cultures of E. coli and the electrophoretic profile of plasmid DNA. However, naproxen appears to cytotoxic effect on bacterial cultures, plasmids and genotoxic effects in reducing the action of stannous chloride in cultures of E. coli. The use of experimental fast performance and low cost was important for assessment of biological effects, contributing to a better understanding of the properties of propionic acid derivatives studied. anti-inflammatory, blood constituents, technetium-99m, stannous chloride, Escherichia coli; DNA

Análise e desenvolvimento de controladores preditivos multivariáveis baseados em multi-modelos bilineares

This work addresses issues related to analysis and development of multivariable predictive controllers based on bilinear multi-models. Linear Generalized Predictive Control (GPC) monovariable and multivariable is shown, and highlighted its properties, key features and applications in industry. Bilinear GPC, the basis for the development of this thesis, is presented by the time-step quasilinearization approach. Some results are presented using this controller in order to show its best performance when compared to linear GPC, since the bilinear models represent better the dynamics of certain processes. Time-step quasilinearization, due to the fact that it is an approximation, causes a prediction error, which limits the performance of this controller when prediction horizon increases. Due to its prediction error, Bilinear GPC with iterative compensation is shown in order to minimize this error, seeking a better performance than the classic Bilinear GPC. Results of iterative compensation algorithm are shown. The use of multi-model is discussed in this thesis, in order to correct the deficiency of controllers based on single model, when they are applied in cases with large operation ranges. Methods of measuring the distance between models, also called metrics, are the main contribution of this thesis. Several application results in simulated distillation columns, which are close enough to actual behaviour of them, are made, and the results have shown satisfactory

Modelos de realizações discursivas nos benditos populares e nas novenas

With the purpose of contribute to the understanding of oral texts constituent processes, we seek, with this work, verify how formulaicity processes in the benditos and novenas , religious intangible heritage, are established. For this, we made an overview on the performance of repetitions which are established in the corpus collected for the study, considering the presence of Discourse Traditions in the analyzed texts. It is noteworthy that the corpus consists of benditos and novenas collected in the municipality of Lajes, Rio Grande do Norte. This material is part of the differential corpus of the Project for the History of Brazilian Portuguese (PHPB-RN). Regarding the theoretical framework used to guide the research, we based our analysis on Discourse Traditions (DTs) theoretical assumptions, with the ideas defended by Johannes Kabatek, besides taking into consideration the assumptions of Paul Zumthor about orality in popular religious texts, among other authors cited throughout the work. In the context of popular cultures, the existence of oral texts serves to various interactive objects and this is not different in popular benditos and novenas (cf. Sá Júnior, 2009). In this sense, focusing the gaze through Discourse Traditions (DTs), we can verify that the texts/discourses present discursive regularities or textual forms already produced by society, in earlier times, which remain or are modified throughout its existence, as shows Johannes Kabatek (2001, 2003, 2005 and 2006). Also in this sense, Paul Zumthor (1993) presents us the idea that talk about using "word" in memory, in its real sense, implies admitting it as something which has an immeasurable power, which is able to decide directions in world, and from that is established the "wealth of oral traditions"

Estimação em modelos de tempo de falha acelerado para dados de sobrevivência correlacionados

We presented in this work two methods of estimation for accelerated failure time models with random e_ects to process grouped survival data. The _rst method, which is implemented in software SAS, by NLMIXED procedure, uses an adapted Gauss-Hermite quadrature to determine marginalized likelihood. The second method, implemented in the free software R, is based on the method of penalized likelihood to estimate the parameters of the model. In the _rst case we describe the main theoretical aspects and, in the second, we briey presented the approach adopted with a simulation study to investigate the performance of the method. We realized implement the models using actual data on the time of operation of oil wells from the Potiguar Basin (RN / CE).

Estudo dos efeitos comportamentais do neuropeptídeos em camundongos submetidos a modelos animais de Parkinson

Neuropeptide S (NPS) is the endogenous ligand of a G-protein coupled receptor. Preclinical studies have shown that NPSR receptor activation can promote arousal, anxiolytic-like behavioral, decrease in food intake, besides hyperlocomotion, which is a robust but not well understood phenomenon. Previous findings suggest that dopamine transmission plays a crucial role in NPS hyperactivity. Considering the close relationship between dopamine and Parkinson Disease (PD), and also that NPSR receptors are expressed on dopaminergic nuclei in the brain, the current study attempted to investigate the effects of NPS in motor deficits induced by intracerebroventricular (icv) administration of 6-OHDA and systemic administration of haloperidol. Motor deficits induced by 6-OHDA and haloperidol were evaluated on Swiss mice in the rota-rod and catalepsy test. Time on the rotating rod and time spent immobile in the elevated bar were measured respectively in each test. L-Dopa, a classic antiparkinsonian drug, and NPS were administrated in mice submitted to one of the animal models of PD related above. 6-OHDA injection evoked severe motor impairments in rota-rod test, while the cataleptic behavior of 6-OHDA injected mice was largely variable. The administration of L-Dopa (25 mg/kg) and NPS (0,1 and 1 nmol) reversed motor impairments induced by 6-OHDA in the rota-rod. Haloperidolinduced motor deficits on rota-rod and catalepsy tests which were reversed by L-Dopa (100 e 400 mg/kg), but not by NPS (0,1 and 1 nmol) administration. The association of L-Dopa 10 mg/kg and NPS 1 nmol was also unable to counteract haloperidol-induced motor deficits. To summarize, 6-OHDA-, but not haloperidol-, induced motor deficits were reversed by the central administration of NPS. These data suggest that NPS possibly facilitates dopamine release in basal ganglia, what would explain the overcome of motor performance promoted by NPS administration in animals pretreated with 6-OHDA, but not haloperidol. Finally, the presented findings point, for the first time, to the potential of NPSR agonist as an innovative treatment for PD.

Construção de modelos multivariados para determinação de lipídios totais e unidade em leite em pó comercial utilizando espectroscopia no infravermelho próximo

In this work calibration models were constructed to determine the content of total lipids and moisture in powdered milk samples. For this, used the near-infrared spectroscopy by diffuse reflectance, combined with multivariate calibration. Initially, the spectral data were submitted to correction of multiplicative light scattering (MSC) and Savitzsky-Golay smoothing. Then, the samples were divided into subgroups by application of hierarchical clustering analysis of the classes (HCA) and Ward Linkage criterion. Thus, it became possible to build regression models by partial least squares (PLS) that allowed the calibration and prediction of the content total lipid and moisture, based on the values obtained by the reference methods of Soxhlet and 105 ° C, respectively . Therefore, conclude that the NIR had a good performance for the quantification of samples of powdered milk, mainly by minimizing the analysis time, not destruction of the samples and not waste. Prediction models for determination of total lipids correlated (R) of 0.9955, RMSEP of 0.8952, therefore the average error between the Soxhlet and NIR was ± 0.70%, while the model prediction to content moisture correlated (R) of 0.9184, RMSEP, 0.3778 and error of ± 0.76%

Conciliação entre modelos de mecanismos avançados de oxidação eletroquímica

Many pollutants dumped in waterways, such as dyes and pesticides, have become so ubiquitous that they represent a serious threat to human health. The electrochemical oxidation is presented as an alternative clean, efficient and economic degradation of wastewater containing organic compounds and a number of advantages of this technique is to just not make use of chemical reagents, since only electrical energy is consumed during the removal of pollutants organic. However, despite being a promising alternative, still needs some tweaking in order to obtain better efficiency in the elimination of persistent pollutants. Thus, this study sought a relationship between a recently discovered phenomenon that reflects the participation of dissolved oxygen in solution in the electrochemical oxidation process, as an anomaly, present a kinetic model that shows instantaneous current efficiency (ICE) above 100% limited by theory, manifested for some experiments with phenolic compounds with H2SO4 or HClO4 as supporting electrolyte with electrodes under anodic oxidation on boron doped diamond (BDD). Therefore it was necessary to reproduce the data ICE exposes the fault model, and thus the 2-naphthol was used as phenolic compound to be oxidised at concentrations of 9, 12 and 15 mmol L-1, and H2SO4 and HClO4 to 1 mol L-1 as a supporting electrolyte under a current density of 30 mA cm-2 in an electrochemical reactor for continuous flow disk configuration, and equipped with anodes DDB at room temperature (25 oC). Experiments were performed using N2 like as purge gas for eliminate oxygen dissolved in solution so that its influence in the system was studied. After exposure of the anomaly of the ICE model and investigation of its relationship with dissolved O2, the data could be treated, making it possible for confirmation. But not only that, the data obtained from eletranálise and spectroscopic analysis suggest the involvement of other strongly oxidizing species (O3 (ozone) and O radicals and O2 -), since the dissolved O2 can be consumed during the formation of new strong oxidizing species, not considered until now, something that needs to be investigated by more accurate methods that we may know a little more of this system. Currently the performance of the electrocatalytic process is established by a complex interaction between different parameters that can be optimized, so it is necessary to the implementation of theoretical models, which are the conceptual lens with which researchers see

Uma abordagem dirigida por modelos para desenvolvimento de middlewares auto-adaptativos para transmissão de fluxo de dados baseado em restrições de QoS

The use of middleware technology in various types of systems, in order to abstract low-level details related to the distribution of application logic, is increasingly common. Among several systems that can be benefited from using these components, we highlight the distributed systems, where it is necessary to allow communications between software components located on different physical machines. An important issue related to the communication between distributed components is the provision of mechanisms for managing the quality of service. This work presents a metamodel for modeling middlewares based on components in order to provide to an application the abstraction of a communication between components involved in a data stream, regardless their location. Another feature of the metamodel is the possibility of self-adaptation related to the communication mechanism, either by updating the values of its configuration parameters, or by its replacement by another mechanism, in case of the restrictions of quality of service specified are not being guaranteed. In this respect, it is planned the monitoring of the communication state (application of techniques like feedback control loop), analyzing performance metrics related. The paradigm of Model Driven Development was used to generate the implementation of a middleware that will serve as proof of concept of the metamodel, and the configuration and reconfiguration policies related to the dynamic adaptation processes. In this sense was defined the metamodel associated to the process of a communication configuration. The MDD application also corresponds to the definition of the following transformations: the architectural model of the middleware in Java code, and the configuration model to XML

Testes de hipóteses em modelos de sobrevivência com Fração de cura

Survival models deals with the modeling of time to event data. However in some situations part of the population may be no longer subject to the event. Models that take this fact into account are called cure rate models. There are few studies about hypothesis tests in cure rate models. Recently a new test statistic, the gradient statistic, has been proposed. It shares the same asymptotic properties with the classic large sample tests, the likelihood ratio, score and Wald tests. Some simulation studies have been carried out to explore the behavior of the gradient statistic in fi nite samples and compare it with the classic statistics in diff erent models. The main objective of this work is to study and compare the performance of gradient test and likelihood ratio test in cure rate models. We first describe the models and present the main asymptotic properties of the tests. We perform a simulation study based on the promotion time model with Weibull distribution to assess the performance of the tests in finite samples. An application is presented to illustrate the studied concepts

Modelos de condutividade térmica em rochas silicáticas, com ênfase em rochas da província Borborema, NE do Brasil

A practical approach to estimate rock thermal conductivities is to use rock models based just on the observed or expected rock mineral content. In this study, we evaluate the performances of the Krischer and Esdorn (KE), Hashin and Shtrikman (HS), classic Maxwell (CM), Maxwell-Wiener (MW), and geometric mean (GM) models in reproducing the measures of thermal conductivity of crystalline rocks.We used 1,105 samples of igneous and metamorphic rocks collected in outcroppings of the Borborema Province, Northeastern Brazil. Both thermal conductivity and petrographic modal analysis (percent volumes of quartz, K-feldspar, plagioclase, and sum of mafic minerals) were done. We divided the rocks into two groups: (a) igneous and ortho-derived (or meta-igneous) rocks and (b) metasedimentary rocks. The group of igneous and ortho-derived rocks (939 samples) covers most the lithologies de_ned in the Streckeisen diagram, with higher concentrations in the fields of granite, granodiorite, and tonalite. In the group of metasedimentary rocks (166 samples), it were sampled representative lithologies, usually of low to medium metamorphic grade. We treat the problem of reproducing the measured values of rock conductivity as an inverse problem where, besides the conductivity measurements, the volume fractions of the constituent minerals are known and the effective conductivities of the constituent minerals and model parameters are unknown. The key idea was to identify the model (and its associated estimates of effective mineral conductivities and parameters) that better reproduces the measures of rock conductivity. We evaluate the model performances by the quantity  that is equal to the percentage of number of rock samples which estimated conductivities honor the measured conductivities within the tolerance of 15%. In general, for all models, the performances were quite inferior for the metasedimentary rocks (34% <  < 65%) as compared with the igneous and ortho-derived rocks (51% <  < 70%). For igneous and ortho-derived rocks, all model performances were very similar ( = 70%), except the GM-model that presented a poor performance (51% <  < 65%); the KE and HS-models ( = 70%) were slightly superior than the CM and MW-models ( = 67%). The quartz content is the dominant factor in explaining the rock conductivity for igneous and ortho-derived rocks; in particular, using the MW-model the solution is in practice vi UFRN/CCET– Dissertação de mestrado the series association of the quartz content. On the other hand, for metasedimentary rocks, model performances were different and the performance of the KEmodel ( = 65%) was quite superior than the HS ( = 53%), CM (34% <  < 42%), MW ( = 40%), and GM (35% <  < 42%). The estimated effective mineral conductivities are stable for perturbations both in the rock conductivity measures and in the quartz volume fraction. The fact that the metasedimentary rocks are richer in platy-minerals explains partially the poor model performances, because both the high thermal anisotropy of biotite (one of the most common platy-mineral) and the difficulty in obtaining polished surfaces for measurement coupling when platyminerals are present. Independently of the rock type, both very low and very high values of rock conductivities are hardly explained by rock models based just on rock mineral content.

Avaliação anti-inflamatória e antipeçonhenta das espécies Hancornia speciosa e Mimosa tenuiflora em modelos experimentais de inflamação e envenenamento induzidos por Bothrops jararaca e Tityus serrulatus

Accidents caused by venomous animals represents a significant and serious public health problem in certain regions of Brazil, as well as in other parts of the world by the frequency with which they occur and the mortality they cause. The use of plant extracts as an antidote for poisoning cases is an ancient practice used in many communities that have no access to antivenom. Medicinal plants represent an important source of obtaining bioactive compounds able to assist directly in the treatment of poisoning or indirectly supplementing serum therapy currently used. The aim of this study was to evaluate the effect of extracts, fractions and isolated compounds from M. tenuiflora and H. speciosa in the inflammatory process induced by carrageenan and the venom of B. jararaca and T. serrulatus. The results showed that both M. tenuiflora and H. speciosa were capable of inhibiting cell migration and cytokines levels in peritonitis induced by carrageenin and venom of T. serrulatus. In poisoning by B. jararaca model, mice treated with the plants in studies decreased the leukocyte influx into the peritoneal cavity. Finally the M. tenuiflora and H. speciosa had antiphlogistic activity, reducing edema formation and exerted inhibitory action of leukocyte migration in local inflammation induced by the venom of B. jararaca. Through of Thin Layer Chromatography (TLC) analysis was possible identified the presence of flavonoids ,saponins and/or terpenes in aqueous extract of M. tenuiflora. By High Performance Liquid Chromatography analysis, it was possible to identify the presence of rutin and chlorogenic acid in aqueous extract of H. speciosa. We conclude that the administration of extracts, fractions and isolated compounds of H. speciosa and M. tenuiflora resulted in inhibition of the inflammatory process in different experimental models. This study demonstrates for the first time the effect of M. tenuiflora and H. speciosa in inhibition of the inflammation caused by B. jararaca and T. serrulatus venom.

Um estudo sobre a variabilidade do vento no nordeste do Brasil através de métodos estatísticos e via modelos dinâmicos de meso e micro escala

The objective of this study was to determine the seasonal and interannual variability and calculate the trends of wind speed in NEB and then validate the mesoscale numerical model for after engage with the microscale numerical model in order to get the wind resource at some locations in the NEB. For this we use two data sets of wind speed (weather stations and anemometric towers) and two dynamic models; one of mesoscale and another of microscale. We use statistical tools to evaluate and validate the data obtained. The simulations of the dynamic mesoscale model were made using data assimilation methods (Newtonian Relaxation and Kalman filter). The main results show: (i) Five homogeneous groups of wind speed in the NEB with higher values in winter and spring and with lower in summer and fall; (ii) The interannual variability of the wind speed in some groups stood out with higher values; (iii) The large-scale circulation modified by the El Niño and La Niña intensified wind speed for the groups with higher values; (iv) The trend analysis showed more significant negative values for G3, G4 and G5 in all seasons and in the annual average; (v) The performance of dynamic mesoscale model showed smaller errors in the locations Paracuru and São João and major errors were observed in Triunfo; (vi) Application of the Kalman filter significantly reduce the systematic errors shown in the simulations of the dynamic mesoscale model; (vii) The wind resource indicate that Paracuru and Triunfo are favorable areas for the generation of energy, and the coupling technique after validation showed better results for Paracuru. We conclude that the objective was achieved, making it possible to identify trends in homogeneous groups of wind behavior, and to evaluate the quality of both simulations with the dynamic model of mesoscale and microscale to answer questions as necessary before planning research projects in Wind-Energy area in the NEB

Perfis epidemiológicos de saúde bucal no Brasil e os modelos de vigilância

National surveys are important tools for public health surveillance and thus key elements in monitoring health conditions and system performance. In the field of oral health, such surveys began with the oral health survey in 1986 and later in 1996 and with the SBBrasil Project in 2003. The 2010 edition of SBBrasil is the principal oral health surveillance strategy for the production of primary data. In order to contribute to this discussion, this article proposes: (a) to present and discuss the Brazilian experience with nationwide oral health surveys and (b) to discuss the use of data in health surveillance models. One can conclude that oral health surveys in Brazil have great possibilities as a tool for health services and academia. Such surveys have shown evident potential for verifying trends in the oral health profile, as well as for producing valid indicators for use in health services.