Sentence examples for augmentation model from inspiring English sources

We study on-line bounded space bin-packing in the resource augmentation model of competitive analysis.

We study online bounded space bin packing in the resource augmentation model of competitive analysis.

These results demonstrated that the bilayer BAMG-SF scaffold may be a promising scaffold with good biocompatibility for bladder regeneration in the rat bladder augmentation model.

Utilizing an established urinary bladder augmentation model, the highly pro-inflammatory biologic scaffold (decellularized small intestinal submucosa) was treated with anti-inflammatory peptide amphiphiles (AIF-PAs) or control peptide amphiphiles and used for augmentation.

To address these problems, we have developed a bilayer scaffold comprising a porous network (silk fibroin [SF]) and an underlying natural acellular matrix (bladder acellular matrix graft [BAMG]) and evaluated its feasibility and potential for bladder regeneration in a rat bladder augmentation model.

A total of 63 sheep were treated with the tibia and femur augmentation model.

SIS has been implanted in rat and canine bladder augmentation models, resulting in the regeneration of full thickness bladder tissue, including urothelium, muscularis, nerves, and blood vessels, characterized by physical properties, such as contractility, similar to native bladder [ 144].

Following the asymmetric power and fractional integration augmentations, models are denoted as LSTAR-LST-GARCH-MLP and LSTAR-LST-GARCH-RBF, LSTAR-LST-APGARCH-MLP and LSTAR-LST-APGARCH-RBF, LSTAR-LST-FIGARCH-MLP and LSTAR-LST-FIGARCH-RBF, and LSTAR-LST-FIAPGARCH-MLP and LSTAR-LST-FIAPGARCH-RBF models.

This tibia and femur augmentation sheep model proved to be a suitable animal model for screening studies of new biomaterials intended for bone augmentation of trabecular bone and enabled analysis of their biodegradable, biocompatible and osteoconductive properties.

Common ways to alleviate the long-term impact on performance degradation are enrollment data augmentation, speaker model adaptation, and adapted verification thresholds.

In contrast to FMOLS, augmentation of model with lags and leads of differenced regressand and regressors in DOLS helps it to overcome the problem of asymptotic endogeneity and serial correlation.