41 resultados para Marcadores genéticos autossómicos
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Estudos que relacionam a atividade física e HIV/AIDS enfatizam a perspectiva biológica, demonstrando a sua relevância, apontam a preocupação em estabelecer um tipo de atividade e intensidade que não comprometa o sistema imunológico, enfatizando as melhorias do exercício sobre os parâmetros antropométricos, na aptidão física bem como um grande aumento da capacidade funcional para o grupo testado. Objetivo: O presente estudo se caracteriza como quase-experimental e objetivou analisar o padrão morfofuncional, marcadores hematológicos em pessoas vivendo com HIV/AIDS, através da oferta intervenção com exercícios anaérobicos (exercícios resistidos em sala de musculação) para pacientes portadores de HIV/AIDS. Métodos: A amostra foi composta por 11 indivíduos do gênero masculino, com média de idade de 43,2 anos, participantes do Programa Pro-Saúde e Atividade Física da Universidade Federal do Rio grande do Norte e atendimento clínico no Hospital Giselda Trigueiro da Secretaria de Estado de Saúde Pública/RN. A coleta de dados foi composta de exames laboratoriais para medir TCD4 e Carga Viral, medidas antropométricas: Índice de Massa Corporal - IMC, Relação Cintura Quadril- RCQ, e uma annamenese sociodemográfica. Para análise dos dados utilizou-se no presente estudo a estatistica descritiva com os valores de tendecia central e seus derivados. Para as variáveis de cunho discreto utilizou-se a análise de frequencia atavés de valores percentuais de aparecimento. Resultados: Os resultados entre os Pré e o Pós teste das variáveis estudadas foram assim apresentadas: para o IMC (pré média de 24,0 Kg/m2 e pós 24,2 Kg/m2), RCQ (pré média de 0,97cm e pós 0,95 cm), Somatório de Dobras cutâneas (Pré 117,1 e Pós 102,0), Somatório da Perimetria(Pré 310,5 e Pós 313,3), Força Escapular(Pré 30,9 Kgf e Pós 30,3 Kgf), Força Pressão Manual Direita(Pre 41,2 e Pós 42,1), Força Pressão Manual esquerda(Pré 39,4 e Pos 39,9), TCD4( Pré 579 e Pós 509 céls/mm3) e Carga Viral(pré e pós <50 cópias). Esses resultados apontam para uma melhora importante das variáveis antropométricas estudadas, principalmente em relação a RCQ, na contagem dos linfócitos TCD4 e manutenção da Carga Viral em níveis abaixo do limite mínimo(<50 cópias/ml) Conclusão:O Programa de Exercícios resistidos com características anaeróbicas promove melhorias no padrão morfofuncional, manutenção das células TCD4 em níveis considerados seguros para esta população e estabilização da carga viral, não apresentando riscos à saúde dos participantes
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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.
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Kalanchoe brasiliensis Cambess (Crassulaceae), commonly known as saião , coirama branca , folha grossa , is originally from Brazil and commonly found in São Paulo to Bahia, mainly in the coastal zone. Regarding of biological activities, most preclinical studies were found in the literature, mainly about the anti-inflammatory activity of extracts obtained from leaves and / or aerial parts of K. brasiliensis. As regards the chemical constitution, it has been reported mainly the presence of flavonoids in the leaves of the species, but until this moment did not knows which are the active compounds. Although it is a species widely used in traditional medicine in Brazil, there is no monograph about the quality parameters of the plant drug. In this context, this study aims to characterize and quantify the chemical markers of hydroethanolic extract (HE) from the leaves of K. brasiliensis, which can be used in quality control of plant drug and derivatives obtained from this species. The methodology was divided into two parts: i. Phytochemical study: to fractionate, isolate and characterizate of the chemical (s) marker (s) of the HE from the leaves of K. brasiliensis; ii. To Developed validate of analytical method by High Performance Liquid Chromatography (HPLC)-diode array detector (DAD) to quantify the chemical (s) marker (s) of the EH. i. The EH 50% was prepared by turbo extraction method. It was then submitted to liquid-liquid partition, obtaining dichloromethane, n-butanol and ethyl acetate (AcOEt) fractions. The AcOEt fraction was selected to continue the fractionation process, because it has a chemical profile rich in flavonoids. The acOEt fraction was submitted to column chromatography using different systems for obtaining the compound Kb1. To identify this compound, it was submitted to UV analysis ii. For quantitative analysis, the EH was analyzed by HPLC, using different methods. After selecting the most appropriate method, which showed satisfactory resolution and symmetrical peaks, it was validated according to parameters in the RE 899/2003. As result, it was obtained from the AcOEt fraction the compound Kb1 (2.7 mg). Until this moment, the basic nucleus was characterized by UV analysis using shift reagents. The partial chemical structure of the compound Kb1 was identified as a flavonol, containing hydroxyls in 3 , 4 position (ring A), 5 and 7 free (ring B) and a replacement of the C3 hydroxyl by a sugar. As the analysis were performed in the HPLC coupled to a DAD, we observed that the UV spectrum of the major peaks of EH from K. brasiliensis shown similar UV spectrum. According to the literature, it has been reported the presence of patuletin glycosydes derivatives in the leaves of this species. Therefore, it is suggested that the compound Kb1 is glycosylated patuletin derivative. Probably the sugar (s) unit(s) are linked in the C3 in the C ring. . Regarding the development of HPLC analytical method, the system used consists of phase A: water: formic acid (99,7:0,3, v / v) and phase B: methanol: formic acid (99,7:0,3, v / v), elution gradient of 40% B - 58% B in 50 minutes, ccolumn (Hichrom ®) C18 (250x4, 0 mm, 5 μm), flow rate 0.8 mL / min, UV detection at 370 nm, temperature 25 ° C. In the analysis performed with the co-injection of thecompound Kb1 + HE of K. brasiliensis was observed that it is one of the major compounds with a retention time of 12.47 minutes and had a content of 15.3% in EH of leaves from K. brasiliensis. The method proved to be linear, precise, accurate and reproducible. According to these results, it was observed that compound Kb1 can be used as a chemical marker of EH from leaves of K. brasiliensis, to assist in quality control of drug plant and its derivatives
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Spondias mombin is a fruitful species dispersed in tropical regions of America, Africa and Asia. In Brazil, the species can be found mainly in the northern and northeastern regions. Scarce chemical and pharmacological studies have been reported for S. mombin and until this moment studies about chemical markers were not developed. In this context, the aims of this study were to characterize the chemical markers from S. mombin leaves and evaluate their anti-inflammatory, antioxidant and antiproliferative potentials. The chemical profile of the hydroethanolic extract from S. mombin leaves analyzed by HPLC-DAD, through a validated method, allowed the identification and quantification of ellagic acid and chlorogenic acid. This extract showed anti-inflammatory potential in acute peritonitis model induced by carrageenan. The hydroethanolic extract from S. mombin leaves was subjected to a liquid-liquid partition with the solvents: n-hexane, dichloromethane, ethyl acetate and n-butanol. Regarding the anti-inflammatory potential of the fractions obtained they were active; however, ethyl acetate fraction at 200 mg/kg showed highlighted results. The compounds ellagic acid and chlorogenic acid also inhibited the leukocyte migration to the site of inflammation at 2.5, 5 and 10 mg/kg. The hydroethanolic extract, fractions and the chemical markers showed significant antioxidant potential when evaluated in different assays: DPPH Free-Radical Scavenging, Superoxide Radical Scavenging, Hydroxyl Radicals Scavenging and Reducing Power. Taken together our results showed that hydroethanolic extract of S. mombin leaves has ellagic acid and chlorogenic acid as bioactive markers and it demonstrated antiinflammatory and antioxidant properties besides no cytotoxicity against 3T3 cells. It enables us to suggest S. mombin as an important species to develop herbal drugs
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
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This research aims to understand the social representations Teaching Work in groups of undergraduate students of Physics and Chemistry of the Federal University of Rio Grande do Norte. For this, the proposal was based on the three theoretical and methodological consensus Carvalho (2012) in the explanation of socio-genetic mechanisms constituents of dynamic consensus that has functionality to your organization. It Was used to achieve this goal, the theoretical-epistemological Serge Moscovici (1978, 2003), Jodelet (2011), Wagner (1998,( 2011) and Carvalho (2012). The corpus analyzed results from a qualitative and quantitative research, developed in three stages. The first two (2) questionnaires to fifty (50) of each undergraduate course, a questionnaire and another profile for collection of free associations concerning motes inductors "Give Lesson," "Student" and "Teacher". The second step in the procedure Multiple Classifications, Roazzi (1995), aimed for another thirty (30) undergraduate students for each course, as well as Document Analysis of Educational Projects Curriculum courses in Physics and Chemistry. The data analysis of the first stage focused on descriptive statistics and frequency and average order of the words associated with motes inductors. The results from the Multiple Classification Procedure submitted to multidimensional analysis (MSA multidimensional scalogram analysis) and SSA (Similarity Structure Analysis), were interpreted by the theoretical and methodological proposal of the three consensus, supported by analysis of the rhetorical nature of justifications classifications and categorizations of words, boosted in times of application of Procedure Multiple Classification. The data revealed that the groups surveyed were the same Social Representation with specific dynamic consensual. Thinking Teaching Work for these groups it is considered in three dimensions: the BE-DO-HAVE of teaching. In the group of Physics consensus was clear semantic, which expressed a dynamic in which the interpretations of "Teaching Work" peacefully coexist on perceptions of two concepts: An identity around the "BE" "Teacher" or "BE" "Educator" and the other, how they think about professional development. The type of group consensus Chemistry pointed to a consensual logic hierarchical order in which the gradual between the elements of BE-DO-HAVE attested conflicts and disagreements about the perceptual object "Teaching Work", around what value most, whether they are the attributes of personal or professional-technical dimension of teaching, in the course of professional development. The thesis to explain the mechanisms of socio-genetic Representation Social Teaching Work by theoretical and methodological proposal was confirmed
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genetic and environmental factors contribute to the development of cardiovascular risk and that influence can be differentiated by factors characteristic of each population, age and sex. Aim: To investigate the heritability of anthropometric and biochemical markers as predictors of cardiovascular risk in men and women of different age groups, using the method of twins. Methods: A sample of 88 subjects and of these 52 children and adolescents (08-17 years old) 32 monozygotic (20 female and 12 male) and 20 dizygotic (12 female and 08 male) and 36 adults (18-28 years age) 24 monozygotic (08 female and 16 male) and 12 dizygotic (06 female and 06 male), living in the metropolitan region of Natal / RN, Brazil. Anthropometric measures were taken as the height, body mass, waist circumference (WC), sum of skinfolds (ΣDC), fat percentage CUN-BAE, BMI and conicity. Biochemical markers analyzed were: fasting glucose (GLU), total cholesterol (COL), HDL-C, LDL-C and triglycerides (TG). After processing the data the index of heritability (h2) = (S ² MZ) / S ² DZ (DZ S ²) X100 was applied disaggregated by sex and age. Results: The variables showed differential heritability of behavior for men and women, depending on age. The variables with the highest heritability values were ΣDC, GLU, HDL, TG, in men and BMI, WC, ΣDC, GLU, HDL-C and TG in women. And more influenced by the environment variables were: body mass, BMI, Chol, LDL-C in men; body mass and LDL-C in women. Conclusion: Differences index of heritability by gender for cardiovascular risk predictors may assist in planning specific intervention strategies according to gender and stage of life of that individual. It is from the level of environmental influence that can run interventions for changes of components related to cardiovascular risk
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The predictive control technique has gotten, on the last years, greater number of adepts in reason of the easiness of adjustment of its parameters, of the exceeding of its concepts for multi-input/multi-output (MIMO) systems, of nonlinear models of processes could be linearised around a operating point, so can clearly be used in the controller, and mainly, as being the only methodology that can take into consideration, during the project of the controller, the limitations of the control signals and output of the process. The time varying weighting generalized predictive control (TGPC), studied in this work, is one more an alternative to the several existing predictive controls, characterizing itself as an modification of the generalized predictive control (GPC), where it is used a reference model, calculated in accordance with parameters of project previously established by the designer, and the application of a new function criterion, that when minimized offers the best parameters to the controller. It is used technique of the genetic algorithms to minimize of the function criterion proposed and searches to demonstrate the robustness of the TGPC through the application of performance, stability and robustness criterions. To compare achieves results of the TGPC controller, the GCP and proportional, integral and derivative (PID) controllers are used, where whole the techniques applied to stable, unstable and of non-minimum phase plants. The simulated examples become fulfilled with the use of MATLAB tool. It is verified that, the alterations implemented in TGPC, allow the evidence of the efficiency of this algorithm
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The metaheuristics techiniques are known to solve optimization problems classified as NP-complete and are successful in obtaining good quality solutions. They use non-deterministic approaches to generate solutions that are close to the optimal, without the guarantee of finding the global optimum. Motivated by the difficulties in the resolution of these problems, this work proposes the development of parallel hybrid methods using the reinforcement learning, the metaheuristics GRASP and Genetic Algorithms. With the use of these techniques, we aim to contribute to improved efficiency in obtaining efficient solutions. In this case, instead of using the Q-learning algorithm by reinforcement learning, just as a technique for generating the initial solutions of metaheuristics, we use it in a cooperative and competitive approach with the Genetic Algorithm and GRASP, in an parallel implementation. In this context, was possible to verify that the implementations in this study showed satisfactory results, in both strategies, that is, in cooperation and competition between them and the cooperation and competition between groups. In some instances were found the global optimum, in others theses implementations reach close to it. In this sense was an analyze of the performance for this proposed approach was done and it shows a good performance on the requeriments that prove the efficiency and speedup (gain in speed with the parallel processing) of the implementations performed
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In this work, the Markov chain will be the tool used in the modeling and analysis of convergence of the genetic algorithm, both the standard version as for the other versions that allows the genetic algorithm. In addition, we intend to compare the performance of the standard version with the fuzzy version, believing that this version gives the genetic algorithm a great ability to find a global optimum, own the global optimization algorithms. The choice of this algorithm is due to the fact that it has become, over the past thirty yares, one of the more importan tool used to find a solution of de optimization problem. This choice is due to its effectiveness in finding a good quality solution to the problem, considering that the knowledge of a good quality solution becomes acceptable given that there may not be another algorithm able to get the optimal solution for many of these problems. However, this algorithm can be set, taking into account, that it is not only dependent on how the problem is represented as but also some of the operators are defined, to the standard version of this, when the parameters are kept fixed, to their versions with variables parameters. Therefore to achieve good performance with the aforementioned algorithm is necessary that it has an adequate criterion in the choice of its parameters, especially the rate of mutation and crossover rate or even the size of the population. It is important to remember that those implementations in which parameters are kept fixed throughout the execution, the modeling algorithm by Markov chain results in a homogeneous chain and when it allows the variation of parameters during the execution, the Markov chain that models becomes be non - homogeneous. Therefore, in an attempt to improve the algorithm performance, few studies have tried to make the setting of the parameters through strategies that capture the intrinsic characteristics of the problem. These characteristics are extracted from the present state of execution, in order to identify and preserve a pattern related to a solution of good quality and at the same time that standard discarding of low quality. Strategies for feature extraction can either use precise techniques as fuzzy techniques, in the latter case being made through a fuzzy controller. A Markov chain is used for modeling and convergence analysis of the algorithm, both in its standard version as for the other. In order to evaluate the performance of a non-homogeneous algorithm tests will be applied to compare the standard fuzzy algorithm with the genetic algorithm, and the rate of change adjusted by a fuzzy controller. To do so, pick up optimization problems whose number of solutions varies exponentially with the number of variables
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ln this work, it was deveIoped a parallel cooperative genetic algorithm with different evolution behaviors to train and to define architectures for MuItiIayer Perceptron neural networks. MuItiIayer Perceptron neural networks are very powerful tools and had their use extended vastIy due to their abiIity of providing great resuIts to a broad range of appIications. The combination of genetic algorithms and parallel processing can be very powerful when applied to the Iearning process of the neural network, as well as to the definition of its architecture since this procedure can be very slow, usually requiring a lot of computational time. AIso, research work combining and appIying evolutionary computation into the design of neural networks is very useful since most of the Iearning algorithms deveIoped to train neural networks only adjust their synaptic weights, not considering the design of the networks architecture. Furthermore, the use of cooperation in the genetic algorithm allows the interaction of different populations, avoiding local minima and helping in the search of a promising solution, acceIerating the evolutionary process. Finally, individuaIs and evolution behavior can be exclusive on each copy of the genetic algorithm running in each task enhancing the diversity of populations
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The telecommunications industry has experienced recent changes, due to increasing quest for access to digital services for data, video and multimedia, especially using the mobile phone networks. Recently in Brazil, mobile operators are upgrading their networks to third generations systems (3G) providing to users broadband services such as video conferencing, Internet, digital TV and more. These new networks that provides mobility and high data rates has allowed the development of new market concepts. Currently the market is focused on the expansion of WiMAX technology, which is gaining increasingly the market for mobile voice and data. In Brazil, the commercial interest for this technology appears to the first award of licenses in the 3.5 GHz band. In February 2003 ANATEL held the 003/2002/SPV-ANATEL bidding, where it offered blocks of frequencies in the range of 3.5 GHz. The enterprises who purchased blocks of frequency were: Embratel, Brazil Telecom (Vant), Grupo Sinos, Neovia and WKVE, each one with operations spread in some regions of Brazil. For this and other wireless communications systems are implemented effectively, many efforts have been invested in attempts to developing simulation methods for coverage prediction that is close to reality as much as possible so that they may become believers and indispensable tools to design wireless communications systems. In this work wasm developed a genetic algorithm (GA's) that is able to optimize the models for predicting propagation loss at applicable frequency range of 3.5 GHz, thus enabling an estimate of the signal closer to reality to avoid significant errors in planning and implementation a system of wireless communication
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Antenna arrays are able to provide high and controlled directivity, which are suitable for radiobase stations, radar systems, and point-to-point or satellite links. The optimization of an array design is usually a hard task because of the non-linear characteristic of multiobjective, requiring the application of numerical techniques, such as genetic algorithms. Therefore, in order to optimize the electronic control of the antenna array radiation pattem through genetic algorithms in real codification, it was developed a numerical tool which is able to positioning the array major lobe, reducing the side lobe levels, canceling interference signals in specific directions of arrival, and improving the antenna radiation performance. This was accomplished by using antenna theory concepts and optimization methods, mainly genetic algorithms ones, allowing to develop a numerical tool with creative genes codification and crossover rules, which is one of the most important contribution of this work. The efficiency of the developed genetic algorithm tool is tested and validated in several antenna and propagation applications. 11 was observed that the numerical results attend the specific requirements, showing the developed tool ability and capacity to handle the considered problems, as well as a great perspective for application in future works.
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The pattern classification is one of the machine learning subareas that has the most outstanding. Among the various approaches to solve pattern classification problems, the Support Vector Machines (SVM) receive great emphasis, due to its ease of use and good generalization performance. The Least Squares formulation of SVM (LS-SVM) finds the solution by solving a set of linear equations instead of quadratic programming implemented in SVM. The LS-SVMs provide some free parameters that have to be correctly chosen to achieve satisfactory results in a given task. Despite the LS-SVMs having high performance, lots of tools have been developed to improve them, mainly the development of new classifying methods and the employment of ensembles, in other words, a combination of several classifiers. In this work, our proposal is to use an ensemble and a Genetic Algorithm (GA), search algorithm based on the evolution of species, to enhance the LSSVM classification. In the construction of this ensemble, we use a random selection of attributes of the original problem, which it splits the original problem into smaller ones where each classifier will act. So, we apply a genetic algorithm to find effective values of the LS-SVM parameters and also to find a weight vector, measuring the importance of each machine in the final classification. Finally, the final classification is obtained by a linear combination of the decision values of the LS-SVMs with the weight vector. We used several classification problems, taken as benchmarks to evaluate the performance of the algorithm and compared the results with other classifiers
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This thesis has as its object the Markers Organization Standard Narrative Discourse (MON), from its occurrence in oral and written corpora of different realizations of narrative discourse, considering its locus of occurrence in the narrative and discursive functioning. The research is guided by the Functional Linguistic Usage-Based, approach to which the organization of language is directly linked to the user experience, so that grammar is shaped by discourse. We examined only the narrative portions of Experience Reports, Tales and Legends in the oral and written, as follows: 3 inquiries Corpus Reports Remaining Quilombo (RN); 11 Corpus Legends legends of the Amazon, 14 Tales of Corpus Tales Brazilians and 21 Reports of experiences of Corpus and Discourse Grammar, with about 10,000 words in each corpus. A total of 22 markers were identified, which were: (1) classified according to the locus of occurrence in the narrative structure, as Labov (1972), (2) associated, according to the type of pattern that occur in narrative discourse, (3) described from the discursive function they perform. The research has relevance to the extent it is based speech analysis and offers proposals for productive teaching of mother tongue in which students and teachers can, grounded in language studies, consider living language, as an object of study, based on the National Curriculum Guidelines (OCN) and making use of New Technologies of Information and Communication (NTIC)