Sentence examples for modeling and structural from inspiring English sources

Exact(21)

Contemporary statistical work pertinent to these designs includes propensity score analysis, sensitivity analysis, selection bias modeling, and structural equation modeling; the theory of quasi-experimentation is also being improved by empirical study of its key concepts and hypotheses.

The conservation pattern of the protein is not used by most modeling and structural determination programs, so ConQuass gives independent support for a structural model, whether experimental or computational.

These enable seamless integration of geometric modeling and structural analysis in an interactive environment, extensibility of modeling and analysis capabilities, and integration of interactive multi-objective optimization.

Taken together, our modeling and structural analysis suggests a rationale for the ability of Gadd45a to bind RNA despite its acidic pKa and the absence of a distinctly positively charged region.

On the basis of modeling and structural (9) studies that located an OB-domain within the C-terminus, we isolated the putative dsDNA and ssDNA binding sites by constructing fragments that contain only the dsDNA binding site (α1−917) or only the ssDNA binding site (α917−1160 and α978−1160).

Based on modeling and structural prediction it is tempting to speculate that aMBF1 might act as a single regulator or non-essential transcription factor, which directly interacts with DNA via the positive charged linker or the basal transcription machinery via its Zn ribbon motif and the HTH domain.

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Similar(39)

Performance of the proposed damage identification process and the new likelihood function is evaluated numerically at multiple levels of modeling errors and structural damage on the SAC 9-story steel moment frame.

This is suitable for Flexible-Manufacturing System FMS) modeling and discussion of structural properties.

ETABS software is used for modeling and analysis of structural members.

The combined material and structural modeling approach includes both material and geometric nonlinear effects.

Simulation results reveal the robustness of reinforcement learning to parametric and structural modeling errors.

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