This strategy reasonably makes use of the catalytic property of semiconductor nanocrystals for the reduction of Au ion precursors at room temperature, and from engineering aspect, its facile feature might have provided a promising method with ease of control for the production of metal sulfide-Au nanocomposites.
EASE-MM is a consensus method of EASE-ASA and EASE-SS The three methods with multiple models (EASE-ASA, EASE-SS, EASE-MM) yielded the AUC (MCC) of 0.81 (0.82), 0.82 (0.48), and 0.85 (0.47), respectively (Table 3).
Using the S238 data set, we compared the performance of three currently available methods (MUpro [ 18], MuStab [ 23], and I-Mutant2.0 [ 17]), our previous work (EASE-AA [ 26]), the single-model method (EASE-AA2), and the three methods with multiple models (EASE-ASA, EASE-SS, and EASE-MM).
Both fulfil with ease that condition of memorability.
The spoolable versions of these pipes can be efficiently installed by the reel-lay method with relative ease.
Both couples danced with ease.
We found that EASE-ASA (combining two models), EASE-SS (three models), and EASE-MM (consensus of the former two) can predict stability changes more accurately than both single-model methods EASE-AA and EASE-AA2.
To explore different ideas, we designed two methods with multiple models: EASE-ASA (composed of two models for exposed and buried residues) and EASE-SS (composed of three models for helical, sheet, and coil residues).
We found that while white managers were at ease with both methods, BME managers found the latter strategy far more challenging.
Therefore, the method can be used with ease and confidence in general-purpose delamination growth analysis for engineering applications.
