A strategy in four successive stages is described and justi®ed for the prevention and control of thermal problems in the workplace. This should allow these problems to be approached and solved progressively in small as well as large companies by relying successively, when necessary, on the complementary competencies of the workers themselves, their technical assistance, the occupational health ...

The influence of a stationary shear flow on the crystallization in a glassy system is studied by means of molecular dynamics simulations and subsequent cluster analysis. The results reveal two opposite effects of the shear flow on the processes of topological ordering in the system. Shear promotes the formation of separated crystallites and suppresses the appearance of the large clusters. The s...

Current "spatio-temporal energy" models of how we perceive pattern motion have been very successful in helping us to understand the mechanisms of motion perception. Although they have been supported by a large number of physiological and psychological studies, they have so far not provided a complete explanation for a number of results. These results emerge from experiments concerned with predi...

We propose a method for visualize lung nodule, in order to emphasize their internal structures. This provides an additional tool for diagnosis, which is traditionally based on the analysis of shape, growth and location. The method is divided into three stages: the first stage is semi-automatic segmentation, using the regiongrowing algorithm; the second stage, based on the previous segmentation,...

In this paper we present a new approach for computer aided detection of microcalcifications (MC) clusters in mammograms. The proposed method is done in two stages; the first stage is a preprocessing with histogram, in the second stage the ability of these filtered images in detecting microcalcification is done using the Curvelet Transform. The proposed method is applied to a database of 10 dens...

In this paper, we present an automatic framework for generating 3D faces in real-time VR systems or games from a single image. The framework are divided into reconstruction stage and rendering stage. In the first stage, we propose a linear machine learning model which is faster than previous works because features of illumination are learned from images in advance. In the second stage, we propo...

A model-based approach is described to forecast triad periods for commercial buildings, using a multi-staged analysis that takes a number of different data sources into account, with each stage adding more accuracy to the model. In the first stage, a stochastic model is developed to calculate the probability of having a “triad” on a daily and half-hourly basis and to generate an alert to the bu...

Lender losses on mortgage loans arise from a two-stage process. In the first stage, the borrower stops making payments if and when default is optimal. The second stage is a lengthy and costly period during which the lender employs legal remedies to obtain possession and execute a sale of the collateral. This research uses data on subprime mortgage losses to explore the role of borrower and coll...

The mechanism of green rust sulfate (GR-SO(4)) formation was determined using a novel in situ approach combining time-resolved synchrotron-based wide-angle X-ray scattering (WAXS) with highly controlled chemical synthesis and electrochemical (i.e., Eh and pH) monitoring of the reaction. Using this approach,GR-SO(4) was synthesized under strictly anaerobic conditions by coprecipitation from solu...