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Anti-TBE IgM was detected by the semiquantitative EUROIMMUN ELISA EI 2661 9601 M. Comparisons were performed by using the Mann-Whitney U test (independent numeric interval variables), χ test (categorical variables), and corresponding exact tests, if necessary; p<0.01 was statistically significant.
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One approach to semi-quantitative simulation is to use numeric intervals to represent incomplete quantitative information.
The TM-LPSAT planner can construct plans in domains containing atomic actions and durative actions; events and processes; discrete, real-valued, and interval-valued fluents; reusable resources, both numeric and interval-valued; and continuous linear change to quantities.
First, discretization criterion is the criterion made for choosing the best cut points in order to split a set of distinct numeric value into intervals (Splitting, Top Down methods) or merge a pair of adjacent intervals (Merging, Bottom Up methods).
It has been designed to simultaneously search for intervals of numeric attributes and the discovery of ARs which these intervals conform in only single run of DE.
More precisely, the framework considers triangular, interval, and numeric types of data to construct granular fuzzy models as particular arrangements of trapezoids.
In addition, note that Clus-DTI scales all numeric values to the interval [0,1], and that nominal values with w categories are transformed in w binary attributes.
Scales vary between outcomes due to differing effect estimate and confidence interval magnitudes (numeric data are provided in Supplemental Material, Table S2).
However, there is no efficient method that can directly deal with the categorical variables and tolerate such imprecision and uncertainty without taking the classical intervals and numeric value approaches.
Their frequency is Y, etc. Frequency is the measurement for establishment of intervals of numeric values of amino acids in proteins.
The complete numeric results including confidence intervals are given in Additional file 4. The objective of this research was to evaluate the feasibility of using predictive modeling for the identification of potential participants of clinical trials.
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