Abstract
Results of self-potential, seismic reflection and refraction, Infrared spectroscopy, ion chromatography and IR thermography survey performed over a Portuguese artistic tomb made of a porous limestone are presented. The tomb presents nowadays severe decay phenomena. The decay products associated to the decay patterns observed are mainly related with the presence of salts, namely nitrates and secondarily of chlorides. The self-potential and the thermography survey allowed verifying that moisture degrees change in different side walls of the tomb. The seismic methods showed there is no clear interface between undamaged and damaged stone material where the limestone is soft and the strength is slightly lower in the most humid zones. © 2013 Taylor & Francis Group, London.

Abstract
A multi-mode circuit implements the functionality of a limited number of circuits, called modes, of which at any given time only one needs to be realised. Using run-time reconfiguration of an FPGA, all the modes can be implemented on the same reconfigurable region, requiring only an area that can contain the biggest mode. Typically, conventional run-time reconfiguration techniques generate a configuration for every mode separately. To switch between modes the complete reconfigurable region is rewritten, which often leads to very long reconfiguration times. In this paper we present a novel, fully automated tool flow that exploits similarities between the modes and uses Dynamic Circuit Specialization to drastically reduce reconfiguration time. Experimental results show that the number of bits that is rewritten in the configuration memory reduces with a factor from 4.6× to 5.1× without significant performance penalties. © 2013 EDAA.

Abstract

Abstract
The novel theory of compressive sensing takes advantage of the sparsity or compressibility of a signal in a specific domain allowing the assessment of its full representation from fewer measurements. In this work we tailored the concept of compressive sensing to assess the intrinsic discriminative capability of this method to distinguish human faces from objects. Afterwards we enrolled through a feature selection study to empirically determine the minimum amount of measurements required to properly detect human faces. This work was concluded with a comparative experiment against the SIFT descriptor. We determined that using only 40 measurements conducted by compressing sensing one is capable of capturing the relevant information that enable one to properly discriminate human faces from objects.

Abstract
Objective. Several classification systems have been launched to characterize Barrett's esophagus (BE) mucosa using magnification endoscopy with narrow band imaging (ME-NBI). The good accuracy and interobserver agreement described in the early reports were not reproduced subsequently. Recently, we reported somewhat higher accuracy of the classification developed by the Amsterdam group. The critical question then formulated was whether a structured learning program and the level of experience would affect the clinical usefulness of this classification. Material & methods: Two hundred and nine videos were prospectively captured from patients with BE using ME-NBI. From these, 70 were randomly selected and evaluated by six endoscopists with different levels of expertise, using a dedicated software application. First, an educational set was studied. Thereafter, the 70 test videos were evaluated. After classification of each video, the respective histological feedback was automatically given. Results. Within the learning process, there was a decrease in the time needed for evaluation and an increase in the certainty of prediction. The accuracy did not increase with the learning process. The sensitivity for detection of intestinal metaplasia ranged between 39% and 57%, and for neoplasia between 62% and 90%, irrespective of assessor's expertise. The kappa coefficient for the interobserver agreement ranged from 0.25 to 0.30 for intestinal metaplasia, and from 0.39 to 0.48 for neoplasia. Conclusion: Using a dedicated learning program, the ME-NBI Amsterdam classification system is suboptimal in terms of accuracy and inter- and intraobserver agreements. These results reiterate the questionable utility of corresponding classification system in clinical routine practice.

Abstract
This paper presents the encoding of the hybridisation method proposed in [MMDB11, DM13] into the Hets platform. © 2013 Springer-Verlag Berlin Heidelberg.