This information is arranged into different layers, allowing a multilevel approach in terms of information management.
Notice that information is arranged so readers can understand every stage as they proceed through, and don't have to hold points in mind while they wait for light to dawn at the end.
The detailed analysis of this is not possible until all information is arranged systematically at one place.
Lastly, this information is arranged in the text file header of each data file in a consistent style, human-readable and readily accessible across all data files.
Secondly, the peaks' pairwise similarity information is arranged into the array Q ∈ [ 0, 1 ] N × P × P. We choose to measure the similarity between two spectral peaks by computing the Pearson correlation between the peaks over a retention time window.
The data on the peaks are organized into two arrays: first, the peak height information is arranged into a P -by- N matrix X ∈ R P × N, which after the log -transformation and centering based on the control group, l = 1, is real valued with missing values where a peak was not detected.
Population estimates and ITNs use information were arranged into four age categories: <5 years; 5-19 years; 20-44 years; and ≥45 years, corresponding to the traditional ITNs target groups of young children; older children and adolescents; adults most likely to have young children; and older household members at the tip of the population pyramid respectively.
A staff information meeting was arranged prior to the fieldwork.
The order in which the information was presented was arranged to be as realistic as possible in relation to clinical practice (first history and symptoms, then findings, and then results of investigations).
