Composição fotojornalística e história: função testemunhal como ato performativo e interação de linguagens

Assuming that testimony in photojournalism must be understood as a historical and performative act, the aim of this article is to discuss how the testimonial function of journalistic photography was constantly re-signified in Brazilian news magazines during the twentieth century. This redefinition has a relation with the different ways in which testimonial function was hinged to news report (in its broadest elements) and how this imperative appeared on its discursive form in writing narrative. As trustee of a narrative intended to be realistic, photojournalism articulates, from techniques and codes of narration, a series of referential and informational strategies. These strategies, however, have changed over time, based on different modes of narration by image and its accreditation in reality.

An approximate method for the solution of an influence function foil rolling model

Fleck and Johnson (Int. J. Mech. Sci. 29 (1987) 507) and Fleck et al. (Proc. Inst. Mech. Eng. 206 (1992) 119) have developed foil rolling models which allow for large deformations in the roll profile, including the possibility that the rolls flatten completely. However, these models require computationally expensive iterative solution techniques. A new approach to the approximate solution of the Fleck et al. (1992) Influence Function Model has been developed using both analytic and approximation techniques. The numerical difficulties arising from solving an integral equation in the flattened region have been reduced by applying an Inverse Hilbert Transform to get an analytic expression for the pressure. The method described in this paper is applicable to cases where there is or there is not a flat region.

Smoothing a Discrete Hazard Function for the Number of Patients Colonized with Methicillin-Resistance Staphylococcus Aureus in an Intensive Care Unit

A new method for estimating the time to colonization of Methicillin-resistant Staphylococcus Aureus (MRSA) patients is developed in this paper. The time to colonization of MRSA is modelled using a Bayesian smoothing approach for the hazard function. There are two prior models discussed in this paper: the first difference prior and the second difference prior. The second difference prior model gives smoother estimates of the hazard functions and, when applied to data from an intensive care unit (ICU), clearly shows increasing hazard up to day 13, then a decreasing hazard. The results clearly demonstrate that the hazard is not constant and provide a useful quantification of the effect of length of stay on the risk of MRSA colonization which provides useful insight.