3 resultados para invariance

em Universidade Federal do Rio Grande do Norte(UFRN)


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The aim of this study was to learn about the social representations of the care provided by the Family Health Program (FHP) in the city of Natal, Brazil and determine how these representations guide the daily actions of doctors, dentists, nurses, nurse s assistants and oral health assistants during the work process. In this sense, we used the theoreticalmethodological approach to the Theory of Social Representations. For data collection, we used the following instruments: a two-part questionnaire, where the first part recorded sociodemographic data and the second part was adapted to the free word association technique (FWAT), which was applied to 90 professionals belonging to 18 FHP units. Interviews were also used as collection instruments. These were based on inductive stimuli and on direct observations of 30 of these professionals. After a superficial reading of the material, we constructed a corpus from which ten categories emerged. To analyze FWAT we used lexicographic analysis, combining frequency and the mean order of responses. The interviews and sociodemographic variables were analyzed using content analysis and descriptive statistical analysis, respectively. The study showed that the central nucleus of the social representation in question is composed of the elements attention, receptivity and love, revealing that the subjects have different understandings of the FHP care process and that the knowledge accumulated in this respect is supported by an approximate vision of the meaning of care. However, traditional elements with trivializing connotations about care predominate, which compromises the development of strategies to overcome traditional practices. In the set of analyses, we were able to capture the invariance of a contradiction: on one hand, professionals know and affirm the importance of providing care for FHP patients; on the other, the experience of daily practice translates into the negation of this concept. In this contradictory context, professionals build gradual and successive syntheses that allow them to act and affirm themselves by associating information from their academic formation, structured knowledge acquired in other experiences, values and symbols of their daily routine. Thus, they shape and reshape themselves, according to what is concretely and specifically required, at the same time both plural and multiple. The composition of the central nucleus indicates that any measure that intends to modify attitudes that is, the daily actions of FHP professionals with respect to care must take into account and give priority to the debate about the redefining of the semantic fields of the central nucleus (love/attention/receptivity and humanization), especially those of love and attention

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In this work we use Interval Mathematics to establish interval counterparts for the main tools used in digital signal processing. More specifically, the approach developed here is oriented to signals, systems, sampling, quantization, coding and Fourier transforms. A detailed study for some interval arithmetics which handle with complex numbers is provided; they are: complex interval arithmetic (or rectangular), circular complex arithmetic, and interval arithmetic for polar sectors. This lead us to investigate some properties that are relevant for the development of a theory of interval digital signal processing. It is shown that the sets IR and R(C) endowed with any correct arithmetic is not an algebraic field, meaning that those sets do not behave like real and complex numbers. An alternative to the notion of interval complex width is also provided and the Kulisch- Miranker order is used in order to write complex numbers in the interval form enabling operations on endpoints. The use of interval signals and systems is possible thanks to the representation of complex values into floating point systems. That is, if a number x 2 R is not representable in a floating point system F then it is mapped to an interval [x;x], such that x is the largest number in F which is smaller than x and x is the smallest one in F which is greater than x. This interval representation is the starting point for definitions like interval signals and systems which take real or complex values. It provides the extension for notions like: causality, stability, time invariance, homogeneity, additivity and linearity to interval systems. The process of quantization is extended to its interval counterpart. Thereafter the interval versions for: quantization levels, quantization error and encoded signal are provided. It is shown that the interval levels of quantization represent complex quantization levels and the classical quantization error ranges over the interval quantization error. An estimation for the interval quantization error and an interval version for Z-transform (and hence Fourier transform) is provided. Finally, the results of an Matlab implementation is given

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Recent studies have shown evidence of log-periodic behavior in non-hierarchical systems. An interesting fact is the emergence of such properties on rupture and breakdown of complex materials and financial failures. These may be examples of systems with self-organized criticality (SOC). In this work we study the detection of discrete scale invariance or log-periodicity. Theoretically showing the effectiveness of methods based on the Fourier Transform of the log-periodicity detection not only with prior knowledge of the critical point before this point as well. Specifically, we studied the Brazilian financial market with the objective of detecting discrete scale invariance in Bovespa (Bolsa de Valores de S˜ao Paulo) index. Some historical series were selected periods in 1999, 2001 and 2008. We report evidence for the detection of possible log-periodicity before breakage, shown its applicability to the study of systems with discrete scale invariance likely in the case of financial crashes, it shows an additional evidence of the possibility of forecasting breakage