Síndrome de Cogan: achados oculares em um caso da forma atípica

A síndrome de Cogan é entidade multissistêmica rara caracterizada por ceratite intersticial associada à disfunção áudio-vestibular e possível surdez irreversível classificada em duas formas clínicas: típica e atípica. Há discordância na literatura quanto à presença de acometimento corneano na forma atípica. Uma paciente de 32 anos queixando-se de hiperemia e dor ocular, fotofobia e baixa da acuidade visual no olho direito, associada à perda súbita de audição à esquerda, vômitos, diarréia, oligúria, dor na orofaringe e febre. História prévia de semelhante acometimento do olho esquerdo e audição direita. Havia intensa hiperemia conjuntival, esclerite nodular, episclerite e infiltrados circulares no estroma corneano. A paciente recebeu pulsoterapia com metilprednisolona e ciclofosfamida. Evoluiu com grande melhora ocular, porém com resposta auditiva pobre. O caso reportado pode constituir forma típica da síndrome de Cogan (de acordo com autores que defendem o nãoacometimento corneano na forma atípica) com alguns achados característicos da forma atípica ou um caso da forma atípica da síndrome de Cogan (para aqueles que defendem o acometimento corneano na forma atípica). O diagnóstico diferencial também é discutido

Análise de agrupamentos dos dados de DFA oriundos de perfis elétricos de indução de poços de petróleo

The main objective of this study is to apply recently developed methods of physical-statistic to time series analysis, particularly in electrical induction s profiles of oil wells data, to study the petrophysical similarity of those wells in a spatial distribution. For this, we used the DFA method in order to know if we can or not use this technique to characterize spatially the fields. After obtain the DFA values for all wells, we applied clustering analysis. To do these tests we used the non-hierarchical method called K-means. Usually based on the Euclidean distance, the K-means consists in dividing the elements of a data matrix N in k groups, so that the similarities among elements belonging to different groups are the smallest possible. In order to test if a dataset generated by the K-means method or randomly generated datasets form spatial patterns, we created the parameter Ω (index of neighborhood). High values of Ω reveals more aggregated data and low values of Ω show scattered data or data without spatial correlation. Thus we concluded that data from the DFA of 54 wells are grouped and can be used to characterize spatial fields. Applying contour level technique we confirm the results obtained by the K-means, confirming that DFA is effective to perform spatial analysis

Hidroquímica do estuário do Rio Caravelas, Caravelas - BA

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Modelos cosmológicos com velocidade da luz variável

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Efeitos das inomogeneidades da matéria em Cosmologias Aceleradas

The recent observational advances of Astronomy and a more consistent theoretical framework turned Cosmology in one of the most exciting frontiers of contemporary science. In this thesis, homogeneous and inhomogeneous Universe models containing dark matter and different kinds of dark energy are confronted with recent observational data. Initially, we analyze constraints from the existence of old high redshift objects, Supernovas type Ia and the gas mass fraction of galaxy clusters for 2 distinct classes of homogeneous and isotropic models: decaying vacuum and X(z)CDM cosmologies. By considering the quasar APM 08279+5255 at z = 3.91 with age between 2-3 Gyr, we obtain 0,2 < OM < 0,4 while for the j3 parameter which quantifies the contribution of A( t) is restricted to the intervalO, 07 < j3 < 0,32 thereby implying that the minimal age of the Universe amounts to 13.4 Gyr. A lower limit to the quasar formation redshift (zJ > 5,11) was also obtained. Our analyzes including flat, closed and hyperbolic models show that there is no an age crisis for this kind of decaying A( t) scenario. Tests from SN e Ia and gas mass fraction data were realized for flat X(z)CDM models. For an equation of state, úJ(z) = úJo + úJIZ, the best fit is úJo = -1,25, úJl = 1,3 and OM = 0,26, whereas for models with úJ(z) = úJo+úJlz/(l+z), we obtainúJo = -1,4, úJl = 2,57 and OM = 0,26. In another line of development, we have discussed the influence of the observed inhomogeneities by considering the Zeldovich-Kantowski-DyerRoeder (ZKDR) angular diameter distance. By applying the statistical X2 method to a sample of angular diameter for compact radio sources, the best fit to the cosmological parameters for XCDM models are OM = O, 26,úJ = -1,03 and a = 0,9, where úJ and a are the equation of state and the smoothness parameters, respectively. Such results are compatible with a phantom energy component (úJ < -1). The possible bidimensional spaces associated to the plane (a , OM) were restricted by using data from SNe Ia and gas mass fraction of galaxy clusters. For Supernovas the parameters are restricted to the interval 0,32 < OM < 0,5(20") and 0,32 < a < 1,0(20"), while to the gas mass fraction we find 0,18 < OM < 0,32(20") with alI alIowed values of a. For a joint analysis involving Supernovas and gas mass fraction data we obtained 0,18 < OM < 0,38(20"). In general grounds, the present study suggests that the influence of the cosmological inhomogeneities in the matter distribution need to be considered with more detail in the analyses of the observational tests. Further, the analytical treatment based on the ZKDR distance may give non-negligible corrections to the so-calIed background tests of FRW type cosmologies

Síndrome de Cogan: achados oculares em um caso da forma atípica

A síndrome de Cogan é entidade multissistêmica rara caracterizada por ceratite intersticial associada à disfunção áudio-vestibular e possível surdez irreversível classificada em duas formas clínicas: típica e atípica. Há discordância na literatura quanto à presença de acometimento corneano na forma atípica. Uma paciente de 32 anos queixando-se de hiperemia e dor ocular, fotofobia e baixa da acuidade visual no olho direito, associada à perda súbita de audição à esquerda, vômitos, diarréia, oligúria, dor na orofaringe e febre. História prévia de semelhante acometimento do olho esquerdo e audição direita. Havia intensa hiperemia conjuntival, esclerite nodular, episclerite e infiltrados circulares no estroma corneano. A paciente recebeu pulsoterapia com metilprednisolona e ciclofosfamida. Evoluiu com grande melhora ocular, porém com resposta auditiva pobre. O caso reportado pode constituir forma típica da síndrome de Cogan (de acordo com autores que defendem o nãoacometimento corneano na forma atípica) com alguns achados característicos da forma atípica ou um caso da forma atípica da síndrome de Cogan (para aqueles que defendem o acometimento corneano na forma atípica). O diagnóstico diferencial também é discutido

Análise de agrupamentos dos dados de DFA oriundos de perfis elétricos de indução de poços de petróleo

The main objective of this study is to apply recently developed methods of physical-statistic to time series analysis, particularly in electrical induction s profiles of oil wells data, to study the petrophysical similarity of those wells in a spatial distribution. For this, we used the DFA method in order to know if we can or not use this technique to characterize spatially the fields. After obtain the DFA values for all wells, we applied clustering analysis. To do these tests we used the non-hierarchical method called K-means. Usually based on the Euclidean distance, the K-means consists in dividing the elements of a data matrix N in k groups, so that the similarities among elements belonging to different groups are the smallest possible. In order to test if a dataset generated by the K-means method or randomly generated datasets form spatial patterns, we created the parameter &#937; (index of neighborhood). High values of &#937; reveals more aggregated data and low values of &#937; show scattered data or data without spatial correlation. Thus we concluded that data from the DFA of 54 wells are grouped and can be used to characterize spatial fields. Applying contour level technique we confirm the results obtained by the K-means, confirming that DFA is effective to perform spatial analysis