Cost data in implementation science: categories and approaches to costingImplementation costsIntervention costsCost analysisImplementation economicsA lack of cost information has been cited as a barrier to implementation and a limitation of implementation research. This paper explains how implementation ...
In particular, this part details how “functors” can model data structures, and “natural transformations” changes of a program using a data structure to a new one, more efficient, using another structure. Then, it introduces models commonly used by information systems (relational, document or ...
Epidemiologists sometimes study the association between two measurements of exposure on the same subjects by grouping the original bivariate continuous data into categories that are defined by the empirical quantiles of the two marginal distributions. Although such grouped data are presented in a two-way...
We re-evaluate existing data that demonstrate a large amount of variability in the content of categories considering the fact that these data have been obtained in a specific task: the production of features of single isolated categories. We present new data that reveal a large consensus when par...
The derived information is expressed in terms of basic data, through some algebraic means. Groups of automorphisms of DBs play a significant role, and are used for solving specific problems such as Galois Theory of DBs, which is used for solving the problem of equivalence of two DBs. The ...
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aConflict with, result in a breach or default under, or cause the termination of any term or condition of any provision of any court order, trust document, agreement, document or other instrument or commitment which is binding on such party 冲突与,导致突破口或默认下或者导致所有期限的所有判决...
Thomson Reuter's ISI Web of Knowledge (or ISI for short) is used in the majority of benchmarking analyses and bibliometric research projects. Therefore, it is important to be aware of the limitations of data provided by ISI. This article deals with a limitation that disproportionally affects th...
Lib-SVM was the best model with the input data fusion, and the correct classification rate (CCR) achieved 98.39%. The results implied that visible and near infrared hyperspectral imaging combined with Lib-SVM has the capability of rapidly and non-destructively classifying tea categories. 展开 ...