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The quantitative analysis shows that the cable linkage has a smaller footprint in more than half of the design points in all approaches.
For 3% clustering distance, complete linkage has a CH index of 167,771, whereas ESPRIT clustering has a CH index of 244.
Each linkage has a probability of 1-1/n of not being sampled, resulting in ∼63.2% of the data in the training set and ∼36.8% in the test set [50].
The graph of correct fitness values and interlocus effects shows that linkage has a substantial effect on the locus selection coefficients and the resulting network of interactions is complex at the time point shown.
The main result is that only tight linkage has a noticeable effect, namely to reduce the efficacy of selection and increase the proportion of backward fixations (moving the distribution closer to the prediction from Equation 25).
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Notwithstanding the complexity of record linkage, SLUs face additional technical challenges in providing linkage 'as a service' for research.
There were 10,679 linkages between these nodes, with each linkage having a characteristic path length of 3 and each node having an average of 18 neighbors.
In addition to the complexity of undertaking probabilistic record linkage, these units face additional technical challenges in providing record linkage 'as a service' for research.
However, in proportional terms, the distribution across post-hospital destinations was very similar for the N and E linkages but with N linkage having a slightly higher proportion of discharges identified as moves from hospital to RAC.
The geometry of the glycosidic linkages has a major influence on the conformation of carbohydrates and their overall shape.
Existing optimal algorithms that compute forward dynamics or quasi-statics of linkages have a linear runtime dependence on the number of joints in the linkage.
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