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We discuss the history of the materials and modern trends in polymeric donor materials and fullerene acceptors, and provide demonstrative data from hybrid polymer/quantum dot devices.
Consequently, the suggested study design involving additional "cancer resistant" group of non-affected subjects appears to provide highly demonstrative data and to be well suited for pilot investigations and for resolving controversial issues.
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As noted earlier, input processing involves non-demonstrative inferences from sensory data to hypotheses about the layout of objects in the world.
The use of the obtained data to design a demonstrative plant is also presented in the paper, with considerations on operating parameters such as energy and reagent consumption, characteristics of plant components and required safety measures.
Other presumably accelerating approaches suggest a decisive exclusion of SNP candidates showing only marginal effects, relaxed formats for rapid dissemination of preliminary data, use of more demonstrative controls such as elderly tumor-free subjects, etc.
Table 2 shows a demonstrative sub-set of the result data corresponding to HighSystolicBloodPressure individuals, the showing a variety of pressure units being homogenized the kilopascal in accordance with the OWL class definition.
The reason for choosing simulations for our demonstrative purposes is that simulations and synthetic data allows us to know the ground truth, in this case the true model parameters and the true model structure.
With demonstrative examples, we show the support of various data and task-level parallelization scenarios on heterogeneous resources available from Amazon EC2, implying that further optimization ideas including dynamic scheduling could lead to eThread as a practically powerful tool.
We then illustrate the method by applying it to a demonstrative toy model of fitting a straight line to two sets of data.
Further, this model is validated through a case company data to work out its intensity and efficacy as a demonstrative application in reducing environmental footprints.
In what follows the data in 2016 is used in the numerical computation as a demonstrative application of the present model.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com