Sentence examples for be useful to generate from inspiring English sources

LAM patients' perceptions of how the disease impacts their lives is largely unknown, but such information could be useful to generate patient reported outcome measures for use in drug trials (or other research studies) and to formulate interventions aimed at easing the burdens LAM imposes on patients.

These SNPs will be useful to generate a specific panel for Nellore animals.>> The use of Bayes factors to determine the significance of SNPs allowed us to identify two sets of significant SNPs, i.e., 42 for HR and 19 for AFC that explain 11.35 % and 6.42 % of their phenotypic variance, respectively.

At first, we searched for relevant information for educational recommender systems, i.e., which elements of user's profile and context could be useful to generate relevant recommendations.

This cascade sequence, wherein both cycloaddition partners are generated in situ, at room temperature, under metal-free conditions, should be useful to generate libraries of heterocycles which constitute the molecular framework of medicinally relevant compounds.

All these electronic modulations could be useful to generate on/off switches in electronic devices, by changing in a controlled way the magnetic field intensity applied to the heterostructures.

Once the cost and the demand are defined in detail to reflect the real-world case, our model can be useful to generate a practical technology evolution plan for broadband access networks in real-world applications.

In general, data normalization is useful to generate good clusters and to improve the accuracy of clustering.

Hashing is useful to generate binary vectors of a fixed size.

This review focuses on recent nanoemulsion-based DDS development and how cavitation through ultrasound and hydrodynamic means is useful to generate the pharmaceutical grade nanoemulsions including the complex double or submicron multiple emulsions.

For the seismic analysis of complex or nonlinear extended structures, it is useful to generate a set of properly correlated earthquake accelerograms that are consistent with a specified seismic hazard.

When coupled with artificial neural networks (ANN) to correlate pore-type data (pore size, shape, and roughness) with well log measurements, network modeling is useful to generate relative permeability and capillary pressure functions on the same spatial scale as log data.