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provide a familiar and relatively well understood example of how we can have an experience as of seeing something that is not actually present.
A very well understood example of extrinsic control is the regulation of glucose metabolism by the hormone insulin.
Several interdependent parameters that contribute to misfolding are now well understood and examples of large RNAs and ribonucleoproteins that avoid kinetic traps have been reported.
Several well understood numerical examples are carried out to demonstrate that the 2D characteristic CE/SE schemes can simultaneously capture shocks and details of complex flow structures very well.
This paper chooses the GAL network in S. cerevisiae as a well understood benchmark example to demonstrate how control theory can be employed to regulate intracellular mRNA levels via extracellular galactose.
Furthermore, the effect of potentially important sociodemographic variables is not well understood, for example, how individual variables such as age, sex, and education level affect the level of stress and health problems experienced by ambulance workers.
Well-understood examples include the characteristic mutual positioning with a 3′-overhang of miR and miR* products that is characteristic for Dicer cleavage, see e.g. Gan et al. (2008), the anomalous 5′-overhang observed for some microRNAs resulting from a distinct, Dicer-dependent two-step mechanism (Ando et al., 2011), and the Dicer-independent processing of mir-451 (Cifuentes et al., 2010).
However, the logging response mechanism is not well understood and application examples about fractures are rare (Faivre 1993; Davies et al. 1994; Smits et al. 1995; Yang and Tao 1999; Karim et al. 2013; Olsen et al. 2014).
This is well understood for prominent examples like miRNA, where most pre-miRNA have a hairpin structure with a 2-nt 3′ overhang that are processed into a double-stranded RNA consisting of the miRNA and its complement miRNA* [see e.g. Gan et al. (2008), for alternative processing modes see e.g. Ando et al. (2011)].
The idea of geographical speciation is well understood, but well-documented examples are rare.
The effect of windowing data for Fourier transformation is well understood in literature, see for example [18].
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com