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This method uses structured parameter-dependent Lyapunov matrices and proposes augmented Linear Matrix Inequalities (LMI) conditions with structural constraints.
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The method uses structure learning by Bayesian Networks to capture and analyze these relations, hence facilitating synthesis of new systems and product.
The population structure was examined for the microsatellite data by a Bayesian clustering method, using STRUCTURE 2.2 [ 78], with a 100000 burn-in period and 50000 MCMC repetitions, to infer the number of populations (K) and to assign individuals to inferred population clusters.
In earlier work we developed the GOstruct method which uses structured SVMs (SSVM) for GO term prediction.
For parametrically affine LPV systems including polytopic systems, our design methods theoretically encompass existing methods which use structured quadratically PDLFs.
The structure-based in silico methods use structures of ligand-target complexes to identify the structural origins of activity and selectivity of related ligands.
Pharmacophore modeling methods use structure-activity relationships of ligands to propose the three-dimensional properties that must be present in a molecule in order for it to possess a biological activity of interest.
These were followed by a mixture of qualitative and quantitative methods that used structured and semistructured interviews, observations and focus group discussions [ 7, 10, 33, 38, 28].
Two methods to obtain information were used: structured interviews and self-registers.
We employed a multi-respondent evaluation method using a structured paper questionnaire to investigate the communication skills of our students in the pediatric outpatient clinic.
Our method uses secondary structure information and PSSMs as input features.
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CEO of Professional Science Editing for Scientists @ prosciediting.com