147 research outputs found

    A statistical framework for radiation dose estimation with uncertainty quantification from the γ-H2AX assay

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    Over the last decade, the γ–H2AX focus assay, which exploits the phosphorylation of the H2AX histone following DNA double–strand–breaks, has made considerable progress towards acceptance as a reliable biomarker for exposure to ionizing radiation. While the existing literature has convincingly demonstrated a dose–response effect, and also presented approaches to dose estimation based on appropriately defined calibration curves, a more widespread practical use is still hampered by a certain lack of discussion and agreement on the specific dose–response modelling and uncertainty quantification strategies, as well as by the unavailability of implementations. This manuscript intends to fill these gaps, by stating explicitly the statistical models and techniques required for calibration curve estimation and subsequent dose estimation. Accompanying this article, a web applet has been produced which implements the discussed methods

    Metodologia Teclim Para Uso Racional De água Na Indústria: O Banco De Ideias No Contexto Da Metodologia Front-end Loading

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    The bank of ideas (BI) is a TECLIM tool for environmental optimization of industrial processes. It is conceptually associated with the front-end loading (FEL) methodology, which pays particular attention to the initial stage of identification and selection of alternatives of water use, increasing the chances of a project´s success, avoiding wasted or badly allocated resources. The BI covers FEL 1 stage, in which the ideas are invited, followed by stage FEL 2, in which the opportunities selected are developed into conceptual projects. The method of giving priorities to the opportunities in the BI is presented, showing the synergy with FEL. The application of the BI enabled the register and process of 500 ideas with the potential to reduce water consumption by 1.4 × 103 t.h- 1 and effluents by at least 0.5 × 103 t.h- 1. The BI tool helps to identify the most attractive and sustainable conceptual projects. © 2016, ABES - Associacao Brasileira de Engenharia Sanitaria e Ambiental. All rights reserved.21475376
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