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To observe the impact of features on the recognition accuracy of those attributes, similar experiments as those in "Mutual information based feature selection and sampling rate adjustment" were conducted.
Data were analysed using Prism 5.0 (GraphPad Software, San Diego, CA, USA) and factorial two-way repeated measures analysis of variance (ANOVAs) with genotype as between and time as within-subject factor; one-way ANOVAs and t-tests using Bonferroni adjustment were conducted for group comparisons of locomotor activity, body weight, food intake and water consumption.
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The analysis was carried out at hospital level with quarterly observations of risk adjusted mortality and length of hospital stay; the risk adjustment was conducted at the patient level on all patients in the data.
In Model 1, adjustment was conducted for sociodemographic variables (age, gender, size of residential area, educational level and monthly income level).
(5) and (8) for all the images are combined, and then bundle adjustment is conducted to refine cameras' pose and objects' world coordinates.
The model adjustment was conducted by solving the inverse problem of parameter estimation for appropriate equipment properties using a total power dissipation of 4.8 kW in the PEBB.
The adjustment is conducted by running a modified version of MILP-1 and MILP-2, where the variables are only a subset of variables of the original problem, while the values of others are kept as constant as those in the previous iteration.
For TEM and SEM microscopical observations, micrographs were scanned in a HP LaserJet 3050 Scanner 3060 and contrast adjustment was conducted using Adobe Photoshop V.7.0.
For multiple comparison, a Bonferroni adjustment was conducted.
Specific gravity adjustment was conducted as described previously [ 14].
Significant publication bias was detected among studies of LBW and proper adjustment was conducted.
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