Associação da frequência alélica dos polimorfismos dos genes do sistema renina angiotensina com a força muscular e pressão arterial de idosas

Physiological changes induced by the aging process is dynamic and progressive, reducing the adaptability and independence of older people and may be influenced by genetic and environmental factors. Thus the aim of this thesis was to investigate the association between polymorphism of the ACE gene ID and the phenotypes of muscular strength and blood pressure of 62 elderly Brazilian (67.35 ± 5.66 years) during a 16-week program of supervised training. The elderly women were stratified by age, with the group 1 (G1, n = 34) <70 years and group 2 (G2 n = 28) ≥ 70 years, and in three groups by ACE, ACE-II (n = 8) ACE- DD (n = 35) and ACE-ID (n = 19). The level of muscle strength was evaluated by the method of maximum repetitions and measures of blood pressure (BP) were measured before and after training (PAPré1 and PAPós1) and before and after each training session (PAPre2 and PAPós2), in place of training. DNA samples were isolated from peripheral blood leukocytes polymorphism and insertion / deletion (ID) of the ACE gene (rs1800795) was genotyped by polymerase chain reaction (PCR) plus PCR-confirmatory. The genotype distribution of the polymorphism ID attended the prerogatives of Hardy-Weitíherg. There was variation in power levels before and after training and the age between groups (t-test) and the ACE polymorphism (ANOVA) (p <0.05). Depending on the results it was concluded that resistance training helps to reduce SBP and increased muscle strength of upper and lower limbs when considering the age and ACE polymorphism. In this study the Elderly carriers of the D allele were more reactive to changes in BP resistance training. This study was multidisciplinary project involving researchers in the areas Medical, Physical Education, Pharmacy, Nutrition, Gerontology and Statistics. This fulfilled the requirements of the multidisciplinary Graduate Program in Health Sciences

Efeitos do exercício físico aeróbio na modulação autonomica da frequência cardíaca de mulheres com sindrome dos ovários policisticos

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Efeitos da deficiência de vitamina A na função pulmonar de crianças após infecção respiratória viral

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Análise da frequência alélica de 15 LOCI STR na população do Rio Grande do Norte

Human population have a significant number of polymorphic loci, whose use and applications range from construction of linkage maps, to study the evolution of populations, through the determination of paternity, forensic medicine and migration. Currently, STRs (Short Tanden Repeats) markers are considered the major markers for human identification, mainly due to its abundance and high variability because of the fact that they are easily amplifiable by PCR (Polymerase Chain Reaction), work with low amounts of DNA and be capable of automation processes involving fluorescence detection. The creation of regional databases containing allele frequencies of population provide subsidies to increase the reliability of the results of determining the genetic link. This paper aims to obtain a database of allele frequencies of 15 polymorphic molecular loci (D8S1179, D21S11, D7S820, CSF1PO, D19S433, vWA, TPOX, D18S51, D3S1358, TH01, D13S317, D16S539, D2S1338, D5S818 e FGA) in a population classifies as born in the State of Rio Grande do Norte, Brazil, totaling 1100 unrelated individuals. To evaluate the frequency, DNA samples were submitted to PCR amplification, followed by capilarry electrophoresis genetic sequencer. The frequencies identified in this study were compared with brazilian population in general and other states in Brazil. Except for the loci D21S11, D19S433 and D2D1338, the genotypes found were in Hardy-Weinberg equilibrium and no significant differences among the frequencies were found in the populations studied. The most informative loci was D2S1338 and D18S51, and the less informative is the locus TPOX

Frequência de retinopatia da prematuridade em recém-nascidos no Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo

OBJETIVOS: Determinar a frequência de retinopatia da prematuridade no Hospital das Clínicas da Faculdade de Medicina de Ribeirão Preto (HCFMRP-USP) e verificar a associação da retinopatia da prematuridade com fatores de risco conhecidos. MÉTODOS: Foi realizada análise prospectiva de 70 pacientes, nascidos no HCFMRP-USP, com peso inferior a 1.500 gramas, no período de um ano. Os pacientes foram divididos em dois grupos (Retinopatia da prematuridade e Normal) para realização de análise estatística com relação a fatores de risco conhecidos. Adotou-se nível de significância de 5%. RESULTADOS: A frequência de retinopatia da prematuridade foi de 35,71% entre os pré-termos estudados. Os fatores pesquisados que apresentaram relação de risco para o desenvolvimento da doença foram: peso (p=0,001), idade gestacional (p=0,001), escore SNAPPE II (p=0,008), uso de oxigenoterapia por intubação (p=0,019) e por pressão positiva de vias aéreas (p=0,0017), múltiplas transfusões sanguíneas (p=0,01) e uso de diuréticos (p=0,01). CONCLUSÃO: A frequência de retinopatia da prematuridade foi de 35,71% entre os prétermos nascidos com menos de 1.500 g. Vários fatores de risco foram identificados nos recém-nascidos do HCFMRP-USP, sendo constatado que crianças mais pré-termos apresentam formas mais graves de retinopatia da prematuridade.

Avaliação hemodinâmica e metabólica da cetamina e cetamina S(+) após a reposição volêmica com hidroxietilamido 130/0,4 e solução salina hipertônica 7,5%

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

Influência da frequência de suplementação no consumo, na digestibilidade e na fermentação ruminal em novilhos de corte mantidos em pastagem de capim-marandu

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

Evaporação cutânea e respiratória em ovinos sob altas temperaturas ambientes

Dez ovinos da raça Corriedale foram avaliados para as taxas de evaporação respiratória (E R) e cutânea (E C). Cada animal foi observado até 10 vezes, sob diferentes condições de temperatura (21,1 a 41,9ºC) e pressão parcial de vapor do ar (1,53 a 3,01 kPa), usando um método gravimétrico para determinar a perda de água. As médias totais foram 0,7599±0,0094 g.h-1.kg-1 para E R e 1,3029±0,0591 g.h-1.kg-1 para E C. A evaporação cutânea foi considerada como um fator importante de termólise para ovinos em ambientes quentes. São discutidos os efeitos do sexo, da espessura do velo e da temperatura e umidade do ar.

Análise e otimização de superfícies seletivas de Frequência utilizando redes neurais artificiais e algoritmos de otimização natural

The bidimensional periodic structures called frequency selective surfaces have been well investigated because of their filtering properties. Similar to the filters that work at the traditional radiofrequency band, such structures can behave as band-stop or pass-band filters, depending on the elements of the array (patch or aperture, respectively) and can be used for a variety of applications, such as: radomes, dichroic reflectors, waveguide filters, artificial magnetic conductors, microwave absorbers etc. To provide high-performance filtering properties at microwave bands, electromagnetic engineers have investigated various types of periodic structures: reconfigurable frequency selective screens, multilayered selective filters, as well as periodic arrays printed on anisotropic dielectric substrates and composed by fractal elements. In general, there is no closed form solution directly from a given desired frequency response to a corresponding device; thus, the analysis of its scattering characteristics requires the application of rigorous full-wave techniques. Besides that, due to the computational complexity of using a full-wave simulator to evaluate the frequency selective surface scattering variables, many electromagnetic engineers still use trial-and-error process until to achieve a given design criterion. As this procedure is very laborious and human dependent, optimization techniques are required to design practical periodic structures with desired filter specifications. Some authors have been employed neural networks and natural optimization algorithms, such as the genetic algorithms and the particle swarm optimization for the frequency selective surface design and optimization. This work has as objective the accomplishment of a rigorous study about the electromagnetic behavior of the periodic structures, enabling the design of efficient devices applied to microwave band. For this, artificial neural networks are used together with natural optimization techniques, allowing the accurate and efficient investigation of various types of frequency selective surfaces, in a simple and fast manner, becoming a powerful tool for the design and optimization of such structures

Estudo do acoplamento entre superfícies seletivas de frequência assimétricas em estruturas de multicamadas

This work presents the development of new microwaves structures, filters and high gain antenna, through the cascading of frequency selective surfaces, which uses fractals Dürer and Minkowski patches as elements, addition of an element obtained from the combination of the other two simple the cross dipole and the square spiral. Frequency selective surfaces (FSS) includes a large area of Telecommunications and have been widely used due to its low cost, low weight and ability to integrate with others microwaves circuits. They re especially important in several applications, such as airplane, antennas systems, radomes, rockets, missiles, etc. FSS applications in high frequency ranges have been investigated, as well as applications of cascading structures or multi-layer, and active FSS. In this work, we present results for simulated and measured transmission characteristics of cascaded structures (multilayer), aiming to investigate the behavior of the operation in terms of bandwidth, one of the major problems presented by frequency selective surfaces. Comparisons are made with simulated results, obtained using commercial software such as Ansoft DesignerTM v3 and measured results in the laboratory. Finally, some suggestions are presented for future works on this subject

Análise e síntese de antenas e superfícies seletivas de frequência utilizando computação evolucionária e inteligência de enxames

The frequency selective surfaces, or FSS (Frequency Selective Surfaces), are structures consisting of periodic arrays of conductive elements, called patches, which are usually very thin and they are printed on dielectric layers, or by openings perforated on very thin metallic surfaces, for applications in bands of microwave and millimeter waves. These structures are often used in aircraft, missiles, satellites, radomes, antennae reflector, high gain antennas and microwave ovens, for example. The use of these structures has as main objective filter frequency bands that can be broadcast or rejection, depending on the specificity of the required application. In turn, the modern communication systems such as GSM (Global System for Mobile Communications), RFID (Radio Frequency Identification), Bluetooth, Wi-Fi and WiMAX, whose services are highly demanded by society, have required the development of antennas having, as its main features, and low cost profile, and reduced dimensions and weight. In this context, the microstrip antenna is presented as an excellent choice for communications systems today, because (in addition to meeting the requirements mentioned intrinsically) planar structures are easy to manufacture and integration with other components in microwave circuits. Consequently, the analysis and synthesis of these devices mainly, due to the high possibility of shapes, size and frequency of its elements has been carried out by full-wave models, such as the finite element method, the method of moments and finite difference time domain. However, these methods require an accurate despite great computational effort. In this context, computational intelligence (CI) has been used successfully in the design and optimization of microwave planar structures, as an auxiliary tool and very appropriate, given the complexity of the geometry of the antennas and the FSS considered. The computational intelligence is inspired by natural phenomena such as learning, perception and decision, using techniques such as artificial neural networks, fuzzy logic, fractal geometry and evolutionary computation. This work makes a study of application of computational intelligence using meta-heuristics such as genetic algorithms and swarm intelligence optimization of antennas and frequency selective surfaces. Genetic algorithms are computational search methods based on the theory of natural selection proposed by Darwin and genetics used to solve complex problems, eg, problems where the search space grows with the size of the problem. The particle swarm optimization characteristics including the use of intelligence collectively being applied to optimization problems in many areas of research. The main objective of this work is the use of computational intelligence, the analysis and synthesis of antennas and FSS. We considered the structures of a microstrip planar monopole, ring type, and a cross-dipole FSS. We developed algorithms and optimization results obtained for optimized geometries of antennas and FSS considered. To validate results were designed, constructed and measured several prototypes. The measured results showed excellent agreement with the simulated. Moreover, the results obtained in this study were compared to those simulated using a commercial software has been also observed an excellent agreement. Specifically, the efficiency of techniques used were CI evidenced by simulated and measured, aiming at optimizing the bandwidth of an antenna for wideband operation or UWB (Ultra Wideband), using a genetic algorithm and optimizing the bandwidth, by specifying the length of the air gap between two frequency selective surfaces, using an optimization algorithm particle swarm

Análise e projeto de superfícies seletivas de frequência com elementos pré-fractais para aplicações em comunicações indoor

In this thesis, a frequency selective surface (FSS) consists of a two-dimensional periodic structure mounted on a dielectric substrate, which is capable of selecting signals in one or more frequency bands of interest. In search of better performance, more compact dimensions, low cost manufacturing, among other characteristics, these periodic structures have been continually optimized over time. Due to its spectral characteristics, which are similar to band-stop or band-pass filters, the FSSs have been studied and used in several applications for more than four decades. The design of an FSS with a periodic structure composed by pre-fractal elements facilitates the tuning of these spatial filters and the adjustment of its electromagnetic parameters, enabling a compact design which generally has a stable frequency response and superior performance relative to its euclidean counterpart. The unique properties of geometric fractals have shown to be useful, mainly in the production of antennas and frequency selective surfaces, enabling innovative solutions and commercial applications in microwave range. In recent applications, the FSSs modify the indoor propagation environments (emerging concept called wireless building ). In this context, the use of pre-fractal elements has also shown promising results, allowing a more effective filtering of more than one frequency band with a single-layer structure. This thesis approaches the design of FSSs using pre-fractal elements based on Vicsek, Peano and teragons geometries, which act as band-stop spatial filters. The transmission properties of the periodic surfaces are analyzed to design compact and efficient devices with stable frequency responses, applicable to microwave frequency range and suitable for use in indoor communications. The results are discussed in terms of the electromagnetic effect resulting from the variation of parameters such as: fractal iteration number (or fractal level), scale factor, fractal dimension and periodicity of FSS, according the pre-fractal element applied on the surface. The analysis of the fractal dimension s influence on the resonant properties of a FSS is a new contribution in relation to researches about microwave devices that use fractal geometry. Due to its own characteristics and the geometric shape of the Peano pre-fractal elements, the reconfiguration possibility of these structures is also investigated and discussed. This thesis also approaches, the construction of efficient selective filters with new configurations of teragons pre-fractal patches, proposed to control the WLAN coverage in indoor environments by rejecting the signals in the bands of 2.4~2.5 GHz (IEEE 802.11 b) and 5.0~6.0 GHz (IEEE 802.11a). The FSSs are initially analyzed through simulations performed by commercial software s: Ansoft DesignerTM and HFSSTM. The fractal design methodology is validated by experimental characterization of the built prototypes, using alternatively, different measurement setups, with commercial horn antennas and microstrip monopoles fabricated for low cost measurements

Otimização de superfícies seletivas de frequência com elementos pré-fractais utilizando rede neural MLP e algoritmos de busca populacional

This thesis describes design methodologies for frequency selective surfaces (FSSs) composed of periodic arrays of pre-fractals metallic patches on single-layer dielectrics (FR4, RT/duroid). Shapes presented by Sierpinski island and T fractal geometries are exploited to the simple design of efficient band-stop spatial filters with applications in the range of microwaves. Initial results are discussed in terms of the electromagnetic effect resulting from the variation of parameters such as, fractal iteration number (or fractal level), fractal iteration factor, and periodicity of FSS, depending on the used pre-fractal element (Sierpinski island or T fractal). The transmission properties of these proposed periodic arrays are investigated through simulations performed by Ansoft DesignerTM and Ansoft HFSSTM commercial softwares that run full-wave methods. To validate the employed methodology, FSS prototypes are selected for fabrication and measurement. The obtained results point to interesting features for FSS spatial filters: compactness, with high values of frequency compression factor; as well as stable frequency responses at oblique incidence of plane waves. This thesis also approaches, as it main focus, the application of an alternative electromagnetic (EM) optimization technique for analysis and synthesis of FSSs with fractal motifs. In application examples of this technique, Vicsek and Sierpinski pre-fractal elements are used in the optimal design of FSS structures. Based on computational intelligence tools, the proposed technique overcomes the high computational cost associated to the full-wave parametric analyzes. To this end, fast and accurate multilayer perceptron (MLP) neural network models are developed using different parameters as design input variables. These neural network models aim to calculate the cost function in the iterations of population-based search algorithms. Continuous genetic algorithm (GA), particle swarm optimization (PSO), and bees algorithm (BA) are used for FSSs optimization with specific resonant frequency and bandwidth. The performance of these algorithms is compared in terms of computational cost and numerical convergence. Consistent results can be verified by the excellent agreement obtained between simulations and measurements related to FSS prototypes built with a given fractal iteration

Aplicação de superfícies seletivas em frequência para melhoria de resposta de arranjos de antenas planares

This work aims to show how the application of frequency selective surfaces (FSS) in planar antenna arrays become an alternative to obtain desired radiation characteristics from changes in radiation parameters of the arrays, such as bandwidth, gain and directivity. In addition to analyzing these parameters is also made a study of the mutual coupling between the elements of the array. To accomplish this study, were designed a microstrip antenna array with two patch elements, fed by a network feed. Another change made in the array was the use of the truncated ground plane, with the objective of increasing the bandwidth and miniaturize the elements of the array. In order to study the behavior of frequency selective surfaces applied in antenna arrays, three different layouts were proposed. The first layout uses the FSS as a superstrate (above the array). The second layout uses the FSS as reflector element (below the array). The third layout is placed between two FSS. Numerical and experimental results for each of the proposed configurations are presented in order to validate the research

Síntese de superfícies seletivas de frequência atráves de técnicas de computação natural

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior