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As illustrated by Figure 14 (a zoom on Figure 13), each time the classical process of AAM proposes a nonplausible solution to the "AAM GM," it tries to go back, for that reason the trajectory of the "AAM GM" is disturbed compare to the "AAM 560" smooth trajectory.
Due to various ranges of fields h x required for the activation of VBL energy levels and its displacement along the DW of stripe domain (this occurs at h x < 1), it is feasible to control both quantum and "classical" process of data recording in the data storage devices based on VBL.
However, in contrast to the classical process of mutual inhibition, which specifies early progenitor cell fate, we demonstrate that mutual inhibition is reused in postmitotic DCN neurons.
The classical process of manufacturing homeopathic medicines involves trituration in lactose and/or serial dilution in ethanol-water solutions and succussion (vigorous repeated cycles of shaking via hand or standardized mechanical arm pounding on a hard surface) in glass vials containing ethanol-water solutions [ 40].
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Such a strategy has been shown to provide results in agreement with more classical processes of experts' decision during crises (e.g., Sandri et al. 2009; Lindsay et al. 2010), usually involving the set-up of a team receiving real-time data and discussing them collectively to achieve consensus.
A fuzzy logic-based expert system replaced the classical process control system for operation of the bioreactor, continuing to optimize denitrification rates and eliminate discharge of toxic by-products (i.e. NO2−, NO, N2O or H2S).
Two of them are based on classical process engineering principles, i.e., development of separation-cleaning methods such as incineration and adsorption.
(For further discussion of whether virtue reliabilism can handle Gettier cases, see Miracchi 2015.[2]) This much is clear: one feature that distinguishes virtue reliabilism from classical process reliabilism is its distinctive treatment of knowledge.
Scholars with different facets have addressed the question of optimized approach in PSS development project considering either the classical development process of the PSS components or a new tailored development approach.
Also, we present an evolutionary learning process, called DEP MGA), using a modified genetic algorithm (MGA) to design the DEP model, because a drawback arises from the gradient estimation of morphological operators in the classical learning process of the DEP, since they are not differentiable in the usual way.
However, this indication of complexity also illustrates how the developers of BFHI used a classical simplification process of breaking the innovation down into more feasible parts (steps).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com