61 resultados para Domain


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

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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

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Author Cocitation Analysis (ACA) can be defined as the analysis of a group of actors, writers or researchers structurally organized in a (social and cognitive) network of a particular scientific community. The greater the number of researchers selected, the greater the amplitude and the domain boundary under consideration; the more restricted the number of researchers chosen as representative and appropriate, the less extensive the domain. From the perspective of the first axis of Tennis (2003), the selection of authors involves setting parameters on the extent of the domain, i.e., its total scope and amplitude. Thus, from the point of view of Tennis’s (2003) approach to Domain Analysis, the selection of authors for Author Cocitation Analysis is associated with the designations and boundaries of the domain, as well as to their goals (Tennis, 2003). Still, the selection of authors through the most cited authors in the literature, reflects the core elements of a domain and constitute the most specific foundation of a domain, aligning to the Degrees of Specialization characterized by Tennis (2003). It is concluded that the Author Cocitation Analysis (ACA) is a relevant procedure to the analysis of the underlying structure of a scientific knowledge domain, which meets the theories and concepts of Domain Analysis researchers, in that it allows characterizing the science, identifying, analyzing and assessing the conditions under which scientific knowledge is constructed and socialized.

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The purpose of this paper is to present the application of a three-phase harmonic propagation analysis time-domain tool, using the Norton model to approach the modeling of non-linear loads, making the harmonics currents flow more appropriate to the operation analysis and to the influence of mitigation elements analysis. This software makes it possible to obtain results closer to the real distribution network, considering voltages unbalances, currents imbalances and the application of mitigation elements for harmonic distortions. In this scenario, a real case study with network data and equipments connected to the network will be presented, as well as the modeling of non-linear loads based on real data obtained from some PCCs (Points of Common Coupling) of interests for a distribution company.

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Aiming at contributing to the epistemological characterization of the area of knowledge organization, our goal is to analyze the KO journal, since its creation in 1993, as a knowledge domain, from a nuclear community of the most productive and greater impact authors, analyzing the dialogue among citing authors and cited ones, and also the co-citations established by the citing authors. We worked with a corpus of 310 articles published between 1993 and 2011 produced by a total of 360 authors. The relatively more productive authors, a group geographically concentrated in Europe (37%), North America (44%) and Asia (19%), is clearly explained by the historical European origin of the ISKO and by an increasing North American presence along the years. Of the 33 most cited authors, 22 were co-cited in at least 6 works, which suggests that they are the theoretical referential nucleus of the area, in the studied journal. Finally, we observe that the area reveals theme cohesion and coherence in its production, enabling us to clearly visualize its theoretical referential nucleus and to confirm the role performed by the KO magazine as a catalyzing agent of international theoretical construction in the area.

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The noteworthy of this study is to predict seven quality parameters for beef samples using time-domain nuclear magnetic resonance (TD-NMR) relaxometry data and multivariate models. Samples from 61 Bonsmara heifers were separated into five groups based on genetic (breeding composition) and feed system (grain and grass feed). Seven sample parameters were analyzed by reference methods; among them, three sensorial parameters, flavor, juiciness and tenderness and four physicochemical parameters, cooking loss, fat and moisture content and instrumental tenderness using Warner Bratzler shear force (WBSF). The raw beef samples of the same animals were analyzed by TD-NMR relaxometry using Carr-Purcell-Meiboom-Gill (CPMG) and Continuous Wave-Free Precession (CWFP) sequences. Regression models computed by partial least squares (PLS) chemometric technique using CPMG and CWFP data and the results of the classical analysis were constructed. The results allowed for the prediction of aforementioned seven properties. The predictive ability of the method was evaluated using the root mean square error (RMSE) for the calibration (RMSEC) and validation (RMSEP) data sets. The reference and predicted values showed no significant differences at a 95% confidence level.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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

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The characterization of the hyperbolic power-time (P-tlim) relationship using a two-parameter model implies that exercise tolerance above the asymptote (Critical Power; CP), i.e. within the severe intensity domain, is determined by the curvature (W') of the relationship. The purposes of this study were (1) to test whether the amount of work above CP (W>CP) remains constant for varied work rate experiments of high volatility change and (2) to ascertain whether W' determines exercise tolerance within the severe intensity domain. Following estimation of CP (208 ± 19 W) and W' (21.4 ± 4.2 kJ), 14 male participants (age: 26 ± 3; peak [Formula: see text]: 3708 ± 389 ml.min-1) performed two experimental trials where the work rate was initially set to exhaust 70% of W' in 3 ('THREE') or 10 minutes ('TEN') before being subsequently dropped to CP plus 10 W. W>CP for TEN (104 ± 22% W') and W' were not significantly different (P>0.05) but lower than W>CP for THREE (119 ± 17% W', P<0.05). For both THREE (r = 0.71, P<0.01) and TEN (r = 0.64, P<0.01), a significant bivariate correlation was found between W' and tlim. W>CP and tlim can be greater than predicted by the P-tlim relationship when a decrement in the work rate of high-volatility is applied. Exercise tolerance can be enhanced through a change in work rate within the severe intensity domain. W>CP is not constant.

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Despite its high incidence, patellofemoral pain etiology remains unclear. No prior study has compared surface electromyography frequency domain parameters and surface electromyography time domain variables, which have been used as a classic analysis of patellofemoral pain. Thirty one women with patellofemoral pain and twenty eight pain-free women were recruited. Each participant was asked to descend a seven step staircase and data from five successful trials were collected. During the task, the vastus medialis and vastus lateralis muscle activities were monitored by surface electromyography. The data were processed and analyzed in four variables of the frequency domain (median frequency, low, medium and high frequency bands) and three time domain variables (Automatic, Cross-correlation and Visual Onset between the vastus medialis and vastus lateralis muscles). Reliability, Receiver Operating Characteristic curves and regression models were performed. The medium frequency band was the most reliable variable and different between the groups for both muscles, also demonstrated the best values of sensitivity and sensibility, 72% and 69% for the vastus medialis and 68% and 62% for the vastus lateralis, respectively. The frequency variables predicted the pain of individuals with patellofemoral pain, 26% for the vastus medialis and 20% for the vastus lateralis, being better than the time variables, which achieved only 7%. The frequency domain parameters presented greater reliability, diagnostic accuracy and capacity to predict pain than the time domain variables during stair descent and might be a useful tool to diagnose individuals with patellofemoral pain.