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Numerous empirical and semi-empirical methods have been proposed to classify soils and estimate important parameters such as shear strength evaluation, settlement predictions and the design of foundations for engineering structures from CPT data.
Using the correlations it is possible to quickly estimate important performance parameters such as delivery capacity and energy to be supplied for a variety of tubular ANG reactors filled with MAXSORB III.
It will be demonstrated that the proposed procedure can more precisely estimate important response attributes of tall buildings, such as roof displacements, story drift ratios and plastic hinge rotations.
The analytical models require less computational effort than simulation models, and experimental results show that they accurately estimate important performance measures like average flow time, machine utilization, and setup frequency.
In this work, we estimate important design parameters for a newly designed storage/retrieval (SGP-AS/RS) machine based on the specific input details to come up with an optimized design solution.
The solution of the optimization problem can estimate important information for the conceptual design phase of a petroleum production system: (i) the injected gas flow rates that guarantees maximum oil production, (ii) the injected gas flow rates for maximum profit and (iii) optimal design of gas lift system considering capital costs of compressor, turbine and gas pipelines.
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The traffic volume data collected are used for studying temporal and spatial variation of traffic and estimating important traffic parameters such as average annual daily traffic (AADT), design hourly volume (DHV), and average daily vehicle distance traveled (DVDT).
Predictive approaches for estimating important parameters for screening need to be developed.
However both these equations are established in clinical practice, making population estimates important.
Feasibility studies play a key role in estimating important parameters that need special concern, and should be carefully designed when planning and conducting a larger study.
Distribution-based approaches for estimating important differences rely on the assumption of normality, and ceiling effects particularly in healthier patient populations produce skewed score distributions.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com