Sentence examples for complexity score from inspiring English sources

For each individual complex, a drawing complexity score and an initial layout is calculated based on the structure diagrams of the ligand and residue molecules.

They also had a higher "spatial complexity" score (i.e., movements were qualitatively more complex) when tested on medication compared to their performance off medication at both T1 and T2 F(1,15) = 17.54, p < .00, η = .54.54

A 2009 examination of all of her recorded words in Hansard gave Thatcher a "conceptual complexity" score way below that of any other postwar prime minister.

Figure 15 Molecular complexity score (MC) distribution for the KDS, DNP, heterocyclic enumerated and GDB13 sets.

Naive T-cell molecular characteristics were maintained as assessed by the Vβ spectratyping complexity score, which showed the maintenance of a broad T-cell repertoire.

A novel metric, called complexity score, has also been developed for quantifying the part's geometric complexities which includes various parameters based on Design for Manufacturing (DFM) rules.

In contrast, the Hierarchical Complexity Scoring System (HCSS) employs criteria for assessing the hierarchical complexity of texts that are independent of specific conceptual content.

The values for Inspire and Azan's integrative complexity and dialectical complexity are in the mid range compared to these magazines; their elaborative complexity scores are perhaps slightly lower.

Table 1 Integrative complexity scores for randomly chosen articles in mainstream magazines Document IC DIAL ELAB Atlantic 2.44 1.97 1.63 Chatelaine 2.08 1.60 1.53 Harpers 1.63 1.50 1.28 National Geographic 1.70 1.50 1.26 New Yorker 1.68 1.28 Readers Digestigest 2.23 1.78 1.54.

The VMAT arcs that were optimized with MU limitation had higher QA pass rates as well as higher modulation complexity scores (less complexity), lower modulation indices (less modulation), lower MU per beam, larger beam segments, and fewer small apertures than the VMAT arcs that were optimized without MU limitation.

This is achieved by projecting the spatial distribution of habitat complexity scores derived from the videography, backward in time using a combination of simple Boolean logic, estimated binomial distributions, and the use of random fluctuations to mimic natural forest dynamics that are likely to have occurred over the modeling period.