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Without the complexity of detailed descriptions in micromanaging individual nodes, the geographical descriptions can still provide sufficient information to allow meaningful analysis and optimization at the macroscopic level and the derivation of useful insights.
This result satisfies all the stringent requirements, such as permitting the use of the exact geometry and kinematics of the moving body, which we have set as our goal in the derivation of useful acoustic formulas for the prediction of rotating blade and airframe noise.
Whilst the amplitudes of flexion and extension joint excursions are common parameters measured in most of the studies based on the Wartenberg test, a combination of the kinematic data with anthropometric data allows for the derivation of useful kinetic data.
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The proposed algorithm consists of derivation of some useful mathematical relations between the basic design parameters and the parameters of the Gaussian derivatives and an optimization technique that finally produces an equiripple passband lowpass FIR filter with a higher falloff rate at the beginning of the transition band.
This may hamper the derivation of clinical useful prediction models with good practical performance and as a result has potential to be associated with invalid results in subsequent analysis (e.g., model validation).
That is, with sufficient data coverage, the removal efficiencies in technical abatement options can be evaluated against chemical properties (physico-chemical) of selected chemicals, to allow the derivation of generalised results useful for emerging substances not yet identified.
Experimental data and characterisation parameters used in processing were discussed in Part I. Now this Part II presents analysis and derivation of a universal correlation, useful for engineering purposes.
We report the derivation of a novel and useful gene predictor validated both on an internal and an independent external data-set, implying its generalizability.
Section 2 contains a number of lemmas useful to the derivation of the main results.
Some preliminaries and a number of lemmas useful to the derivation of the main results are given in Section 2.
Even for relay channels, statistical distributions of the eigenvalues were shown very useful in the derivation of the channel capacity [31, 32].
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com