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Hysteresis is a nonlinear phenomenon exhibited by systems stemming from various science and engineering areas.
Stochastic approaches such as evolutionary algorithms have been widely used in various science and engineering problems.
Thus this type of nanocomposite could be applied in various science and technology fields in the future.
Hopefully this new derivative, as a fundamental technology, will be utilized in various science and engineering problems.
However, both algorithms have been applied to various science and engineering optimization problems, extensively, the algorithms suffer from premature convergence, unbalanced exploration-exploitation, and sometimes slow convergence speed.
The latest GPUs offer a speedup of two-to-three orders of magnitude over CPU for various science and engineering applications.
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Yet there is a difference between a constitutive hierarchy of the things studied by various sciences and a reductive hierarchy of those sciences.
Understood in this way, phenomenology does not place itself outside the sciences but, rather, attempts to make understandable what takes place in the various sciences and thus to thematize the unquestioned presuppositions of the sciences.
The inverse heat conduction problem (IHCP) has numerous important applications in various sciences and engineering [1].
Surface plasmon resonance is used in various sciences and technology fields, e.g., as highly sensitive chemo- and biosensors [3].
This could provide cutting-edge tools for the complete understanding of systems change pathways behavior in various sciences and disciplines all combined in a single global theory.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com