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These population data were arranged into sibships and mother-offspring units through unique personal numbers.
After identification of Anopheles, Aedes and Culex, the data were arranged monthly to monitor the seasonal/temporal variation.
All the experimental data were arranged in Microsoft Excel spreadsheet and subjected to regression in Solver® program.
The BLAST data were arranged in maximum percentage identity and first ten sequences was selected and exported in FASTA format.
These data were arranged in a matrix comprised by 3,926 rows (i.e., 61+90 days × 26 data-loggers).
Parasites were identified by genus or group and the data were arranged in prevalence by the formula: number of infected fish with parasites ÷ number of fish analyzed × 100.
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Data mining processing traditional algorithms are carried out taking into account that the data are arranged in a single structure, usually a file or a table.
Data are arranged on their surfaces in concentric tracks.
The donation of the data was arranged in part by the National Corn Growers Association, which is also pushing for a project to sequence the corn genome.
Firstly, the data are arranged as a function of distance from the center of the slip zone.
The data is arranged in a format of six input parameters taking into account several aspects such as the geometry of the RC column, the size of the steel cage, the concrete compressive strength, the steel yield stress and the axial load level.
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