Collection and analysis of pre-evacuation time data collected from evacuation trials conducted in library facilities in Brazil

Two evacuation trials were conducted within Brazilian library facilities by FSEG staff in January 2005. These trials represent one of the first such trials conducted in Brazil. The purpose of these evacuation trials was to collect pre-evacuation time data from a population with a cultural background different to that found in western Europe. In total some 34 pre-evacuation times were collected from the experiments and these ranged from 5 to 98 seconds with a mean pre-evacuation time of 46.7 seconds

Pre-nups: precedents in need of reform?

Traces the development of the law relating to the enforceability of pre-nuptial agreements, given the potential conflict between such an agreement and the jurisdiction of the court to determine financial provision on divorce. Sets out the 16 point checklist laid down by K v K (Ancillary Relief: Prenuptial Agreement) against which the enforceability of an agreement should be judged. Comments on the significance given to the pre-nuptial agreement in ancillary relief proceedings in Crossley (Susan) v Crossley (Stuart), where the parties were required to show why the agreement should, or should not, determine the outcome of the proceedings.

A case study of pre-midlife crisis: an extraordinary transformational episode in an ordinary life

This case study explored a single in-depth narrative of an episode of crisis. The participant, an English Jewish man in his late thirties (Guy), was selected using a ‘random purposeful’ design from a sample who had previously participated in a study on the experience of crisis in pre-midlife adulthood. From a subgroup of participants chosen for giving full accounts of both inner and outer dimensions of crisis, the individual was selected randomly. Data collection comprised two interviews followed by an email discussion. The crisis occurred in Guy’s late thirties, just before the midlife transition, and so can be considered a ‘pre-midlife’ crisis. It subsumed the period surrounding leaving a high-profile banking career and a dysfunctional marriage, and the ensuing attempts to rebuild life after this difficult and emotional period. Qualitative analysis found four trajectories of personal transformation over the course of the episode: Firstly there was a shift away from the use of a conventional persona to a more spontaneous and ‘authentic’ expression of self; secondly there was a move away from materialistic values toward relational values; thirdly a developing capacity to reflect on himself and his actions; fourthly an emerging feminine component of his personality. The case study portrays an extraordinary event in the life of an ordinary man approaching middle age. It illustrates the transformative nature of crisis in ordinary lives, the dramatic nature of narrative surrounding crisis, and also illustrates existing theory about the nature of adult crises.

Analysis of classification accuracy for pre-filtered multichannel remote sensing data

Noise is one of the main factors degrading the quality of original multichannel remote sensing data and its presence influences classification efficiency, object detection, etc. Thus, pre-filtering is often used to remove noise and improve the solving of final tasks of multichannel remote sensing. Recent studies indicate that a classical model of additive noise is not adequate enough for images formed by modern multichannel sensors operating in visible and infrared bands. However, this fact is often ignored by researchers designing noise removal methods and algorithms. Because of this, we focus on the classification of multichannel remote sensing images in the case of signal-dependent noise present in component images. Three approaches to filtering of multichannel images for the considered noise model are analysed, all based on discrete cosine transform in blocks. The study is carried out not only in terms of conventional efficiency metrics used in filtering (MSE) but also in terms of multichannel data classification accuracy (probability of correct classification, confusion matrix). The proposed classification system combines the pre-processing stage where a DCT-based filter processes the blocks of the multichannel remote sensing image and the classification stage. Two modern classifiers are employed, radial basis function neural network and support vector machines. Simulations are carried out for three-channel image of Landsat TM sensor. Different cases of learning are considered: using noise-free samples of the test multichannel image, the noisy multichannel image and the pre-filtered one. It is shown that the use of the pre-filtered image for training produces better classification in comparison to the case of learning for the noisy image. It is demonstrated that the best results for both groups of quantitative criteria are provided if a proposed 3D discrete cosine transform filter equipped by variance stabilizing transform is applied. The classification results obtained for data pre-filtered in different ways are in agreement for both considered classifiers. Comparison of classifier performance is carried out as well. The radial basis neural network classifier is less sensitive to noise in original images, but after pre-filtering the performance of both classifiers is approximately the same.

Simple shade plots aid better long-term choices of data pre-treatment in multivariate assemblage studies

Shade plots, simple visual representations of abundance matrices from multivariate species assemblage studies, are shown to be an effective aid in choosing an overall transformation (or other pre-treatment) of quantitative data for long-term use, striking an appropriate balance between dominant and less abundant taxa in ensuing resemblance-based multivariate analyses. Though the exposition is entirely general and applicable to all community studies, detailed illustrations of the comparative power and interpretative possibilities of shade plots are given in the case of two estuarine assemblage studies in south-western Australia: (a) macrobenthos in the upper Swan Estuary over a two-year period covering a highly significant precipitation event for the Perth area; and (b) a wide-scale spatial study of the nearshore fish fauna from five divergent estuaries. The utility of transformations of intermediate severity is again demonstrated and, with greater novelty, the potential importance seen of further mild transformation of all data after differential down-weighting (dispersion weighting) of spatially clumped' or schooled' species. Among the new techniques utilized is a two-way form of the RELATE test, which demonstrates linking of assemblage structure (fish) to continuous environmental variables (water quality), having removed a categorical factor (estuary differences). Re-orderings of sample and species axes in the associated shade plots are seen to provide transparent explanations at the species level for such continuous multivariate patterns.