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These datasets are essential for analyzing the slowdown in European economic growth that preceded the current financial and fiscal crisis.
Constructing and updating GIS databases of 3D urban form is essential for analyzing spatial phenomena related to urbanization.
Knowledge of static and dynamic mechanical properties is essential for analyzing structural behavior and recovery, especially for new epoxy SMPs.
Robust and reliable measures of consumer expenditures are essential for analyzing aggregate economic activity and for measuring differences in household circumstances.
Generalization of wilting point is very essential for analyzing the hydrological performance of green infrastructures (e.g. green roofs, biofiltration systems) and ecological infrastructures (wetlands).
Knowledge of static and dynamic mechanical properties is essential for analyzing structural behavior and recovery properties, especially for new epoxy SMPCs.
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In systems biotechnology biochemical network maps are the essential bases for analyzing their topological features and for simulating their dynamic behaviors.
Probabilistic modeling is a mainstay of modern machine learning research, providing essential tools for analyzing the vast amount of data that have become available in science, scholarship, and everyday life.
Then, considering the pore structure of cement paste is an essential part for analyzing the ionic diffusivity of cement paste, the reliability of the pore structures from the HYMOSTRUC3D model is discussed by comparing the pore size distributions by simulation with those by experimental techniques.
The main goal of the present work is to investigate the fundamental physics of spin-related effects in our structures, but this is an essential step for analyzing the feasibility of using RTD structures for spintronic devices in the future.
In silico prediction methods have become essential resources for analyzing these variants.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com