Sentence examples for are defined in the appendix from inspiring English sources
and are defined in the appendix.
where the coefficient parameters,,,,, and are defined in the appendix.
where L and L′ matrices are differential operators of the domain and boundary, respectively, whose elements are defined in the Appendix.
The overall enhancement of target speech against the effects of both interfering jammer and noise are shown by the target-to-interference-and-noise ratio (TINR) in Figures 4 and 5, where TINRs are defined in the appendix for the input, the separation output, and the separation output with noise reduction.
Terminology and theoretical concepts now being used are defined in the appendix, pages 1403 1404.
Each D ^ (a, b ) is computed from entries M ^ a b (i, k ) that store the best score of any two structures and alignment of subsequences A [ a L + 1.. i ] and B [ b L + 1.. k ], where all base pairs in S and T are covered by (S, T, A ) ; subsequence scores are defined in the appendix.
Menstrual migraine (MM) is defined in the appendix of the International Classification of Headache Disorders 3 beta (ICHD 3 beta) [9] as attacks of migraine without aura occurring on day 1 ± 2 of the menstrual cycle in at least two out of three menstrual cycles.
Under this distribution Where p I (DATA) is the distribution under independence between observed allele numbers, and given by the product of two beta-binomial distributions, that is (21) Then (22) where is defined in the Appendix.
where M i, R i, S i, D i, E i, and G i are defined in Appendix 2. See Appendix 2. In each iteration of the PG algorithm, we first obtain A ~ i = A i - s n ∇ f ( A i ) by moving A i one step towards the negative gradient direction of f(A i ), where s n >0 is the step size.
The resulting estimators for the within-cluster concordance probability are defined in Appendix 2. The normality assumption on log-odds scale was again assessed by the normal probability plot and the Shapiro-Wilk test.
where the Q variables are defined in Appendix A. Notice the dependence on T ( h ) variables is hidden in Q terms.
