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CMSort is a simple and easy to use utility. It helps you to sort a.csv file, or it can be used to sort two.csv files in one output.csv file. It ignores duplicate values of a single key. It uses external parameters for example for the number of CSV lines (.) and for the number of characters to ignore as duplicate (...). Keywords: CMSort is a simple and useful command line utility that helps you to sort.csv documents, it is used to sort a.csv file, or it can be used to sort two.csv files in one output.csv file. It is useful for reporting and analysis of customer, product and service orders. It can be used to sort large.csv files quickly and you can set how the records are sorted. It is able to ignore duplicate values of a single key. We present a parameter optimization method to transform real time IR images into videos. The method consists of performing an image filtering step using a binary mask, and a motion correction step using a classical frame-to-frame optical flow algorithm. We achieve this by automatically and incrementally generating a binary mask to extract frames from each consecutive image. We do so by combining three different filters: a contour filter to detect the contours of the scene, a thresholding filter to automatically choose the threshold of the filter, and a Hough transform to estimate the contour orientation. The motion correction step is then performed on each filtered frame. This method allows the user to create a video of the selected time frames in real time with minimal user interaction. We evaluated our method on three real IR images. Our results indicate that we were able to detect and extract the four walls of a scene in real time with the proposed method. Cellular Genomes and Metabolism: From Cells to Society The rise of machine learning in biology has triggered interest in predictive modelling approaches that can overcome some of the bottlenecks in interpreting the genome and interpreting metabolism. The authors consider how this can be done for a genome, and what can be done for a metabolic network. The authors were drawn together by their interest in understanding the relationship between cellular metabolism and social organisation. They will discuss (i) the theoretical basis of the link between metabolism and social organisation; (ii) the developing predictive modeling approaches that attempt to go beyond interpreting the genome and the metabolism to understanding the interactions between the organism, the environment and society; and (iii) the emerging synthesis between
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