Sentence examples for dynamic variability from inspiring English sources

These conceptual systems could effectively and economically be utilized, for example, to manage the increasing levels of dynamic variability and uncertainty introduced by VER (variable energy resources) such as renewable sources (e.g., wind, solar), distributed energy resources, demand response schemes, and modern energy demands (e.g., electric vehicles) with their ever changing usage patterns.

Elsewhere the choir's deficiencies mattered rather more: its lack of dynamic variability, its monochrome color, its raw edge.

Or, as the scientists put it: "The empiric median of the loudness values x grows from −22 dBFS to −13 dBFS, with a least squares linear regression yielding a slope of 0.13 dB/year (p < 0.01, t-test)." Despite this fact, the Spanish team also found that songs' "absolute dynamic variability has been conserved" over the years.

This work presents a characterization of thirteen dynamic variability mechanisms.

Table 4 Non-pharmacokinetic factors of variability of response to triptans Factors Description Dynamic variability Dynamic variability can be studied in isolated tissues.

With the downscaling of CMOS devices, dynamic variability induced by negative bias temperature instability (NBTI) has become a critical issue.

Genetic programming (GP) is a development in the field of evolutionary algorithms extending the classical genetic algorithms (GA) to a symbolic optimization technique and overcoming GA limitation of being a fixed-length representation scheme requiring encoding of the variables and its non-dynamic variability requiring the string length to be defined in advance (Koza 1992).

Interestingly, the spatial pattern of intra-subject dynamic modular variability largely overlapped with that of inter-subject modular variability, both of which were highly reproducible across repeated scanning sessions.

Analytical methods, combined analytical and simulation-based methods, direct Monte Carlo simulations and simulation procedures that employ importance sampling strategies are brought to bear on analyzing dynamic response variability and assessment of reliability.

The quantitative evaluation of the impact of key sources of static and dynamic statistical variability (SV) are presented for LSTP nMOSFETs corresponding to 32 nm and 22 nm technology generation transistors with thin-body (TB) SOI and double gate (DG) architectures, respectively.

The 2nd PC placed strong emphasis on a combination of static and dynamic balance variability.