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With A = Y A κ and f (x) = Ψ x), the above description results in a dynamical system of the form given by (6).
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This is achieved by converting from a statistical thermodynamic description to a classical thermodynamic description resulting in a reduction of model parameters from more than 100 to a total of only 26.
McTaggart holds that the gunkyness of substances and the requirement that every substance have sufficient description result in a contradiction unless the following requirement is satisfied: that the universe divides itself into a set of entities – call them primary parts – whose sufficient descriptions imply sufficient descriptions of every set of parts of the universe onto infinity.
A comparison between the linear and non-linear descriptions of the gas spring at the top of the displacer cylinder reveals that the non-linear description results in more realistic predictions of the oscillation frequency compared to experimental data from a similar device.
There may be false positives in Λ i _ closest, as computation of local reference frames are noisy and Λ is a dimensionally reduced description (resulting in loss of information) of a local 3D region.
Nevertheless, the absence of specific requirements or a clear job description resulted in substantial variability in the way this function was implemented in terms of professional background (e.g. nurses, physiotherapists, psychologists) as well as in terms of role specification (e.g. focus on wound care versus focus on coordination of the entire multidisciplinary plan).
HSAs performed a variety of tasks in addition to those outlined in the job description resulting in issues of overloading, specialization and competing demands existing in the context of task-shifting and prioritization.
The collisionless heat conduction and viscosity in the multi-fluid description results from a non-isotropic PUI distribution.
For druggability predictions, such pocket descriptions result in more meaningful structural descriptors like active site surface or volume.
At times, the complex nature of the mechanisms and theories discussed necessitates detailed descriptions resulting in large blocks of text.
The proposed methodologies cover four fundamental aspects in heterogeneous sensing: (i) storing experiment descriptions and heterogeneous results in a common data format; (ii) coping with different measurement resolutions (in time or frequency domain); (iii) calibrating devices under strictly controlled conditions and (iv) processing techniques to efficiently analyse the obtained results.
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