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It provides efficient support for acquiring, discovering, interpreting and accessing various contexts to build context-aware services.
It provides efficient and accurate predictions of propagation and communication channel characteristics in complex urban, indoor, rural and mixed path environments.
It provides efficient signal parameterization in the way that is quite convenient for making voice effects such as pitch shifting, timbre and time-scale modifications.
That is, a MVT model also is employed as it provides efficient statistical estimation of parameter estimates under the conditions stated above.
It provides efficient support in hardware for some mechanisms specified in the RTSJ and offers a simpler programming model through ameliorating the scoped memory of the RTSJ.
The Core-based approach is inevitable in multicast routing protocols as it provides efficient management of multicast path in changing group memberships, and scalability and performance.
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It provides effective mechanisms to design efficient public key cryptography systems with less reliance on underlying infrastructure.
It also provides efficient tracking of reference voltage compared to Bang-Bang control.
It also provides efficient tools to study the evolution of molecular systems, establishing orthology/paralogy relationship between gene families [ 11– 14], and so forth.
Despite the heterogeneous nature of typical commercial antibody HCCF, it consistently provides efficient purification of antibodies from impurities such as host cell proteins and DNA (Fahrner et al., 1999; Hahn et al., 2003; Liu et al., 2010; Miesegaes et al., 2010a).
Moreover, it can provide efficient services for special use-cases which require on-demand access to scalable resources.
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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