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We demonstrate the validity of BHAC by means of various one-, two-, and three-dimensional test problems, as well as through a close comparison with the HARM3D code in the case of a torus accreting onto a black hole.

We intend to demonstrate the validity of these strategies by connecting them to clinical classroom experiments conducted by the authors this past year in a very large (1,700 students) Principles of Economics course.

Laboratory experiments demonstrate the validity of the technique by producing close agreement with the simulations.

Here we demonstrate the validity of the approach by implementing an existing Kalman-filter-based decoder in a simulated SNN using the Neural Engineering Framework (NEF), a general method for mapping control algorithms onto SNNs.

And we demonstrate the validity of this method by applying this weighted method to two classes of networks with high homogeneous and heterogeneous degree distribution.

We demonstrate the validity of our framework by presenting a case study in architectural lighting in which a prototype qualitative reasoning engine successfully automates qualitative logic about the subjective impressions of a lighting installation.

Therefore, it is recommended to identify the critical aspects for endpoint assessment, to optimize bioassays accordingly and to demonstrate the validity of the bioassay by testing known bioactive compounds [61].

We demonstrate the validity of the model by addressing the issue of optimal transmission power assignment from two perspectives: numerically gained solutions of optimization problems versus results of computer simulations.  .

While Gelug thus distances itself from the subjective division of the two truths, Nyingma, Kagyü and Sakya attempt to demonstrate the validity of their view by arguing that perspective provides the primary basis for the division of the two truths.

We demonstrate the validity of our system by purifying proteins that remained active while integrated inside muNS-derived protein inclusions.

We extend the method to predict downstream effects on biological functions and diseases and demonstrate the validity of our approach by applying it to example datasets.

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