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The modeling framework considers the shear transformation zone (STZ) as the fundamental unit of deformation, and coarse-grains an amorphous collection of atoms into an ensemble of STZs on a mesh.
Our modeling framework considers the dynamics shaping the enormous potential diversity of genomic repertoires of var genes by tracking all possible var repertoires, given a diverse pool of genetic variants.
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To test this hypothesis, we utilized a custom developed multiphysics finite element modeling framework considering the lithium diffusion induced elasto-plastic deformation of silicon.
In this paper, a SEH modeling framework considering the inclusions of P2G devices, heat pumps, diversified storage devices and flexible loads is first proposed, and an optimized IDR scheme is designed on this basis to manage the demand side resources.
Within the model framework considered here, we cannot consider weaker selection and hence more common causal variants.
The authors should consider modeling frameworks that allow conclusions to be drawn from highly confounded and multivariate datasets.
We developed an integrated modeling framework by considering both climatic and anthropogenic factors to investigate spatio-temporal variability of blue and green water availability and to quantify the water security in a river basin.
There are some interesting points that the authors should address before the paper becomes suitable for Biology Direct: The model in its mathematical framework considers a factor (protein) that may be an active regulator of the cell cycle.
This framework considers adherence to the original program model and the factors that affect adherence as complementary parts of a comprehensive approach to measuring and understanding implementation.
The proposed kinetic model considers thermodynamic framework based aqueous phase ionic equilibrium and the separate contributions of non-PTC and PTC-enhanced reactions towards the overall reactions.
The purpose of this study is to develop a conceptual model in a comprehensive framework, considering causal relationships among travel, telecommunications, land use, economic activity, and socio-demographics, and to explore the aggregate relationships between telecommunications and travel, using structural equation modeling of national time series data spanning 1950 2000 in the US.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com