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The approach advocated in this paper also provides a solution to the mass conservation problem associated with the variable parameter Muskingum routing method, which has been a major issue in the hydrological literature for the last three decades.
The mixed success of equine artificial insemination programs using chilled and frozen-thawed semen is most likely associated with the variable response of the sperm cell to the preservation process and the fact that stallions are not selected on the basis of reproductive performance.
CONCLUSIONS: Various patient, tumor, treatment, and logistic factors are associated with the variable use and external beam dose fractionation of palliative lung treatments.
From th iteration to th local iteration (in the LDPC decoder), the mean of the messages associated with the variable node,, evolves as (10).
We assumed that the probability functions of all these variables have a Gaussian distribution (initially, after some iteration we can reconsider this distribution) and these functions have the graph represented in Fig. 5 and the graph is directly influenced by σ (if sigma is near zero the probability of that event is near 1) and the probability associated with the variable in discussion.
Thus, as per the usual approach, the coefficient associated with the variable (public) represents the earnings differential (evaluated at the mean of the distribution) that remains once the other relevant determinants are controlled for, and if estimated to be positive, it is labeled a public-private pay differential/premium/gap (or pay penalty if negative).16.16
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Indeed, even under nominal operation, the different transmission delays associated with the variables that appear in the computation form produce discrepancies of the residuals from zero.
The input layer of BP network contained fifteen neurons associated with the variables, while the output layer contained five neurons associated with the map of transition probabilities for the considered types of land use (Table 2).
Non-response was not associated with the variables under study (Table 1).
MI is based on a prediction model containing variables theoretically associated with the variables with missing values.
A study of the all-cause death rates associated with clinical variables yields information on general risks associated with the variables.
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