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In a recent work, M. Covington discusses the enumeration of two different sets of alignments of two strings of symbols using elementary combinatorial techniques. He defines two functions a(m,n) and A(m,n) to count the number of two–string alignments in his “small” and “middle” sets of alignments (respectively). He provides a recurrence for each of these functions which allows for the calculatio...
INTRODUCTION The objective in supply chain management is to manage all activities associated with the flow of products and services from the beginning of the manufacturing or processing cycle through to the end-user [Handfield and Nichols, 1999]. The challenge is to manage this process in such a way as to establish collaborative alliances with strategic suppliers [Dyer, Co, Chu, 1998] and to ex...
The R package displayHTS implements recently developed methods and figures for displaying data and hit selection results in high-throughput screening (HTS) experiments. It generates not only certain useful distinctive graphics such as the plate-well series plot, plate image and dual-flashlight plot but also other commonly used figures such as volcano plot and plate correlation plot. These figur...
Recommended Citation Putney, Maclaine Kenneth. "Using high frequency data collection to study nitrate on clear creek during high flow events. Plot of the flux calculated using high frequency samples and all holes interpolated with data using log (C) vs. Plot of the flux calculated using high frequency samples and all holes interpolated with data using log (C) vs. Plot of the flux calculated usi...
Scatter plots are effective diagrams to visualize distributions, clusters and correlations in two-dimensional data space. For highdimensional data, scatter plot matrices can be formed to show all two-dimensional combinations of dimensions. Several previous approaches for exploration of large scatter plot spaces have focused on ranking and sorting scatter plot matrices based on global patterns. ...
The worm plot is a series of detrended Q-Q plots, split by covariate levels. The worm plot is a diagnostic tool for visualizing how well a statistical model fits the data, for finding locations at which the fit can be improved, and for comparing the fit of different models. This paper shows how the worm plot can be used in conjunction with quantile regression. No parametric distributional assum...
Due to high false alarm rate and low positioning accuracy of compact high-frequency surface wave radar in moving vessel detection, plot-to-track association often occurs during tracking, thus leading track fragmentation tracking. In order address this problem, a plot quality evaluation method is proposed applied association. Firstly, the differences spatial correlation echo spectrum amplitudes ...
A 3-year study was conducted in cornfield to evaluate how composted cattle manure application affects net global warming potential (GWP; the sum of nitrous oxide (N2O) and methane (CH4) minus net ecosystem carbon balance (NECB)) and greenhouse gas intensity (GHGI; net GWP per unit of plant biomass yield). In the first experiment, conducted from 2010 to 2012, five fertilization strategies that i...
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