9 resultados para complementary logic

em Biblioteca Digital da Produção Intelectual da Universidade de São Paulo


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In accelerating dark energy models, the estimates of the Hubble constant, Ho, from Sunyaev-Zerdovich effect (SZE) and X-ray surface brightness of galaxy clusters may depend on the matter content (Omega(M)), the curvature (Omega(K)) and the equation of state parameter GO. In this article, by using a sample of 25 angular diameter distances of galaxy clusters described by the elliptical beta model obtained through the SZE/X-ray technique, we constrain Ho in the framework of a general ACDM model (arbitrary curvature) and a flat XCDM model with a constant equation of state parameter omega = p(x)/rho(x). In order to avoid the use of priors in the cosmological parameters, we apply a joint analysis involving the baryon acoustic oscillations (BA()) and the (MB Shift Parameter signature. By taking into account the statistical and systematic errors of the SZE/X-ray technique we obtain for nonflat ACDM model H-0 = 74(-4.0)(+5.0) km s(-1) Mpc(-1) (1 sigma) whereas for a fiat universe with constant equation of state parameter we find H-0 = 72(-4.0)(+5.5) km s(-1) Mpc(-1)(1 sigma). By assuming that galaxy clusters are described by a spherical beta model these results change to H-0 = 6(-7.0)(+8.0) and H-0 = 59(-6.0)(+9.0) km s(-1) Mpc(-1)(1 sigma), respectively. The results from elliptical description are in good agreement with independent studies from the Hubble Space Telescope key project and recent estimates based on the Wilkinson Microwave Anisotropy Probe, thereby suggesting that the combination of these three independent phenomena provides an interesting method to constrain the Bubble constant. As an extra bonus, the adoption of the elliptical description is revealed to be a quite realistic assumption. Finally, by comparing these results with a recent determination for a, flat ACDM model using only the SZE/X-ray technique and BAO, we see that the geometry has a very weak influence on H-0 estimates for this combination of data.

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Gamasiphis Berlese is one of the most diverse genera of Ologamasidae, with 68 described species, corresponding to about 15% of the species of the family. Until now, a single species of this genus was known from Brazil. Gamasiphis salvadori sp. nov., Gamasiphis flechtmanni sp. nov. and Gamasiphis edmilsoni sp. nov. are described based on the morphology of adult females and males collected from litter and soil in Piracicaba, Sao Paulo State, Brazil. The holotype of Gamasiphis plenosetosus Karg, 1994 was examined, given its close similarity with the latter species, and complementary morphological information about it is provided. A key for the separation of females of the 60 recognizable world species of Gamasiphis is provided.

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In this paper, we proposed a new three-parameter long-term lifetime distribution induced by a latent complementary risk framework with decreasing, increasing and unimodal hazard function, the long-term complementary exponential geometric distribution. The new distribution arises from latent competing risk scenarios, where the lifetime associated scenario, with a particular risk, is not observable, rather we observe only the maximum lifetime value among all risks, and the presence of long-term survival. The properties of the proposed distribution are discussed, including its probability density function and explicit algebraic formulas for its reliability, hazard and quantile functions and order statistics. The parameter estimation is based on the usual maximum-likelihood approach. A simulation study assesses the performance of the estimation procedure. We compare the new distribution with its particular cases, as well as with the long-term Weibull distribution on three real data sets, observing its potential and competitiveness in comparison with some usual long-term lifetime distributions.

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The objective of this study was to verify the effect of acupuncture on the sleep quality of obese workers in a teaching hospital. Data were collected from July to October 2009, focusing on 37 workers who attended eight weekly acupuncture sessions. The Pittsburgh Sleep Quality Index was used to assess their sleep quality before and after the intervention. Results show that before the intervention, five (13.5%) people experienced good quality of sleep whereas at the end of the study 14 (37.8%) showed this condition. Statistic significance (p=0.0001) was found in comparing the mean scores obtained before and after acupuncture. Acupuncture had effects on the quality of sleep in the studied sample, presenting itself as a complementary technique for treating sleep disorders and consequently improving the quality of life in this population.

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In Brazil, during the XX century, dozens of Spiritist psychiatric hospitals emerged seeking to integrate conventional medical treatment with complementary spiritual therapy. This combined inpatient treatment is largely found in Brazil, where many psychiatric hospitals stem from the Spiritist movement. The present report describes the use of these spiritual practices, their operating structure, health professionals involved, modalities of care, and institutional difficulties in integrating spiritual practices with conventional treatment in six leading Brazilian Spiritist psychiatric hospitals. These hospitals combine conventional psychiatric treatment with voluntary-based spiritual approaches such as laying on of hands ("fluidotherapy"), lectures regarding spiritual and ethical issues, intercessory prayer, spirit release therapy ("disobsession") and "fraternal dialogue". The non-indoctrination and optional nature of these spiritual complementary therapies seem to increase acceptance among patients and their family members. In conclusion, the Spiritist psychiatric hospitals in Brazil have, for more than half a century, provided an integrative approach in the treatment of psychiatric disorders, associating conventional and spiritual treatments, more specifically Spiritist therapy. The lack of standardized treatment protocols and scientific studies remain a barrier to assessing the impact of this integrative approach on patients' mental health, quality of life, adherence, and perceived quality of treatment.

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The ever-growing production and the problematization of Environmental Health have shown the need to apprehend complex realities and deal with uncertainties from the most diversified instruments which may even incorporate local aspects and subjectivities by means of qualitative realities, while broadening the capacity of the information system. This paper presents a view on the reflection upon some challenges and possible convergences between the ecosystemic approach and the Fuzzy logic in the process of dealing with scientific information and decision-making in Environmental Health.

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OBJECTIVE: This study proposes a new approach that considers uncertainty in predicting and quantifying the presence and severity of diabetic peripheral neuropathy. METHODS: A rule-based fuzzy expert system was designed by four experts in diabetic neuropathy. The model variables were used to classify neuropathy in diabetic patients, defining it as mild, moderate, or severe. System performance was evaluated by means of the Kappa agreement measure, comparing the results of the model with those generated by the experts in an assessment of 50 patients. Accuracy was evaluated by an ROC curve analysis obtained based on 50 other cases; the results of those clinical assessments were considered to be the gold standard. RESULTS: According to the Kappa analysis, the model was in moderate agreement with expert opinions. The ROC analysis (evaluation of accuracy) determined an area under the curve equal to 0.91, demonstrating very good consistency in classifying patients with diabetic neuropathy. CONCLUSION: The model efficiently classified diabetic patients with different degrees of neuropathy severity. In addition, the model provides a way to quantify diabetic neuropathy severity and allows a more accurate patient condition assessment.

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Due to the growing interest in social networks, link prediction has received significant attention. Link prediction is mostly based on graph-based features, with some recent approaches focusing on domain semantics. We propose algorithms for link prediction that use a probabilistic ontology to enhance the analysis of the domain and the unavoidable uncertainty in the task (the ontology is specified in the probabilistic description logic crALC). The scalability of the approach is investigated, through a combination of semantic assumptions and graph-based features. We evaluate empirically our proposal, and compare it with standard solutions in the literature.

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The main objective of this work is to present an efficient method for phasor estimation based on a compact Genetic Algorithm (cGA) implemented in Field Programmable Gate Array (FPGA). To validate the proposed method, an Electrical Power System (EPS) simulated by the Alternative Transients Program (ATP) provides data to be used by the cGA. This data is as close as possible to the actual data provided by the EPS. Real life situations such as islanding, sudden load increase and permanent faults were considered. The implementation aims to take advantage of the inherent parallelism in Genetic Algorithms in a compact and optimized way, making them an attractive option for practical applications in real-time estimations concerning Phasor Measurement Units (PMUs).