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Key ingredients of policy analysis are data; analytical models, including their documentation and validation; and effective communication of the results to policy makers, in particular of the assumptions in models and uncertainty in estimates.
Moreover, the developed analytical models including the device immunity effect are compared with those of the conventional DG MOSFET, where a significant enhanced performance is predicted for the case of our proposed design.
Analytical models including Bernoulli Euler model of a beam resting on an elastic foundation and the Timoshenko and Flügge tube models as well as finite element tools helped to better understand the transient resonant regimes in launcher components and offered insight on how to alter the launching device materials and geometry to reduce the critical-velocity effects.
A comparative study of the experimental results with published analytical models, including the ACI 440 model, was also conducted in order to evaluate the different analytical models and identify the influencing factors on the shear behavior of FRP strengthened reinforced concrete beams.
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These innovative modifications in the analytical models included redefining the inclination angle of shear failure surface, redefining the effective depth of the section, considering the influence of the thickness of steel skin, and developing analytical models on tensile resistance of the overlapped headed studs.
Many analytical models included in the design codes as well as previously developed numerical models do not relate the external FRP jackets performances to the internal steel reinforcements: the present study pursues this task, trying to understand the mechanisms from a detailed model.
To adjust for the potential impact of diet and lifestyle, our analytical models included previously archived data regarding nutrient intake (percent calories from fat, alcohol intake) and physical activity (sport, leisure and occupational activity).
The TTD has exclusively research purposes, and thus neither the information nor the analytical models included in this database should be used for the clinical decision making process by any means.
Two broad categories of spatial analytical models include spatially autoregressive (SAR) methods, which deal with spatial dependence [ 19], and geographically weighted (GWR) methods, which deal with spatial non-stationarity [ 20].
The proposed analytical model, including the ultrasonic transducer, provides a useful tool to design, compare and select component values.
A novel analytical model, including a rule of mixture scaling, is developed to gain phenomenological insights into the data obtained.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com