Sentence examples for a model for characterization of from inspiring English sources

Aspergillus niger has—due to applications within citric acid production been a model for characterization of much of central metabolism.

This study on A. indica genome and transcriptomes will provide a model for characterization of metabolic pathways involved in synthesis of bioactive compounds, comparative evolutionary studies among various Meliaceae family members and help annotate their genomes.

Extensive genetic and biochemical analysis of Drosophila melanogaster has made this system an important model for characterization of transcriptional regulatory elements and factors.

The human-virulent pathogen is a model organism for characterization of host-pathogen interactions, and is associated with a variety of diseases including gastroenteritis and enteric fever.

Since all cell lines behaved similarly in this respect, we selected SK-N-MC cells as a model for further characterization of the mechanisms underlying the telomere shortening induced sensitization of cancer cells to chemotherapy and the differential sensitivity to cisplatinum.

The aim of this study was to set up a novel flow cytometry (FCM -based high throughput adhesion screening FCM -basedd utilize thighmodel for characthroughput of adhesion among different ruminant cell linescreeninganel ofor. Mmmoides strands.

Quenched solid density functional theory (QSDFT) model for characterization of mesoporous carbons using nitrogen adsorption is extended to cylindrical and spherical pore geometries.

The aim of this study was to set up a novel flow cytometry (FCM -based high throughput screening FCM -basedon of Mmm and to utilize thighodel for characthroughput of adhescreeningarious strains ofor. mycoides subsp. mycoides adhesionycofdes subsp. capri to different ruMmmand cell lines.

While the polynomial expression is clearly over determined given four categories of FEV1%, the intent was not to build a predictive model or a model for out-of-sample characterization, but simply to capture previously observed trends.

The assessment of seismic losses for structural systems through adoption of stochastic ground motion models for characterization of the seismic hazard is the focus of this study.

For quantitative calibration, multivariate regression methods such as partial least squares (PLS) [42 44] have been used to develop NIR-based models for characterization of heritage materials extensively.