The very recent guideline of the International Headache Society (IHS) for controlled trials of drugs in migraine defined consistency as one of the secondary parameters for the evaluation of results [10].
We first formally define a consistency model, which not only includes temporal consistency and numerical consistency, but also considers the application-specific requirements of data and data dynamics in the sensing field.
By applying this understanding of strategic consistency to our research, we define strategic consistency as the coherence of strategic actions within an M&A series or, more precisely, the coherence of serial acquisitions and their strategic direction.
Cronbach's alpha coefficient was used to define internal consistency and showed that the refined 22-item Chinese ASQE had a coefficient of 0.887, indicating good internal consistency or homogeneity; the values for all the domains ranged from 0.663 to 0.920.
To solve this problem, we define trust consistency value of user (i.e., ) as (19).
In the approach, we define pattern consistency for structural and behavioral pattern properties and pattern conformance for pattern applicability before transformation solution conformance after transformation.
Because the supportive and opposing data have been reported in different populations, well-designed international collaborative studies need to be conducted to define the consistency of the associations, paving the way to better define the patients at high risk of developing cervical cancer.
We now define the consistency energy as {phi^{L}_{c}}({x_{i}^{L}} = d_{i}, {x_{j}^{L}} = d_{j}) = -left(sum_{P in mathcal{P}(i,d_{i},j,d_{j})} W^{L}(P right) nu, where we sum over all paths between joint pixel-disparity assignments ({x_{i}^{L}}) and ({x_{j}^{L}}) and use the same path weight W L (P) as for the smoothness term.
To define the consistency in nonadditive set functions we first consider the quantities (9) S i 1 i 2 … i m = std μ ({ x i 1, x i 2, …, x i m } ) i, m = 1, 2, … n where the indices 1<= i1<= i2<=⋯<= i m <= n identify the collection of attributes for which we compute the nonadditive set function, and n is the number of attributes in the jth combination of attributes.
