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Methods for the analysis of data should be almost exclusively graphical, with the aim of partitioning the data visually among the sources of variation present in the study.
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This pioneer study was therefore designed with the aim of evaluating the partitioning of inorganic contaminants post the interactions of acid mine drainage and BOF slag and explore the chemistry thereof.
In this manuscript, focus is given to non-structural partition walls, with the aim of determining the potential economic benefit of implementing non-structural retrofit solutions, in terms of the corresponding reduction in average annual earthquake losses.
First, the microarray data are divided into p parts, each of them represents the microarray set M i formed by patients of the clinical class c i ∈ Class, with 1 ≤ i ≤ p. The aim of this partition is to build the underlying class-specific network that represents each group of patients with the same clinical class c i. Second, a network is built from each M i.
The aim of this step is to partition the WM-GM interface into small ROIs.
The aim of this module identification process is to find a specific partition (p) which yields the largest network modularity, Q(p).
The aim of this study was to compare free-stall housing with a comparable lying area (open pack) without stall partitions.
The aim of this study is to understand the physical mechanisms involved in the attenuation and absorption properties of partitions made up of a thin micro-perforated panel (MPP) rigidly backed by a cavity filled with anisotropic fibrous material.
The aim of this work was to investigate the formation of APs from glucose and two amino acids with different partition coefficients (phenylalanine and leucine) in emulsions.
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Provided a set of training samples, a SVM transforms the data samples using a nonlinear mapping to a higher dimension with the aim to determine a hyperplane that partitions data by class or labels.
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