Sentence examples for accommodating these requirements from inspiring English sources

Recent advances in chemistry led to the development of a number of homogeneous and heterogeneous catalysts accommodating these requirements.

A tissue engineered heart valve could, in principle, accommodate these requirements, especially somatic growth.

This paper proposes a framework that accommodates these requirements through protocol scenarios and highlight further research work that need to be performed.

To accommodate these requirements, in this article we propose a new data decorrelation scheme using an approach that is closely related to that employed by the human visual system (HVS) in the process of converting the electromagnetic radiation that is emitted by the surrounding objects into chromatic information.

To accommodate these requirements, it is necessary to enumerate all possible assignments of M g) and, for each node g ∈ VG.

While sufficient time must be built into such a process to accommodate these requirements, the longer the process, the greater the danger that the organizational context and priorities in which the pay system will function may have changed.

The experimental organism that could best accommodate these requirements was the nematode, Caenorhabditis elegans, which has become a popular model for studying aging and longevity, due to its short 2- to 3-week lifespan, rapid generation time and experimental flexibility (Guarente & Kenyon, 2000).

Eight examples are then presented of engineering modifications that allowed the Shuttle to adapt and accommodate these requirement changes.

To accommodate these design requirements, the Agilent Technologies microarray platform, which uses 60-mer oligonucleotide probes, was selected.

Prior to its termination, accommodating the requirements for Global Fund Round 3 also served as motivation for creating participatory coordination structures.

Accommodating this requirement, as well as statistical feasibility, we chose nonlinear mixed-effects (NLME) models for our analysis, which are best known for analyses of repeated measures and, in particular, longitudinal data.