Sentence examples for work for interactions from inspiring English sources

Different from the GPR-mediated interaction between RvE1 and TRPV1, a distinctive mode may work for interactions between AT-RvD1 and TRPV3 [ 39].

This approach works for interactions on the planetary scale and also for smaller objects.

Framis is known for creating provocative work for social interactions, such as a clear plastic confession booth and a Guantanamo Bay museum.

He looked at my work for the interaction of the small things that added up to make a good painting.

Overall the Girifalco potential used in this work for C60 C60 interaction seems slightly too shallow but it gives very good geometries and reasonable relative dissociation energies.

In order to investigate whether these TFs could activate a selection of terpene synthase promoters, a transient assay in Nicotiana benthamiana leaves was used, which has been previously shown to work for the interaction between the zinc finger-like transcription factor Expression of Terpenoids 1 (SlEOT1) and the SlTPS5 promoter [ 47].

Similar to previous work, for negative genetic interactions, we also considered interactions annotated as phenotypic enhancement, synthetic growth defect and synthetic lethality.

Sampling evaluation forms processed across all fisheries sectors trained, indicated that participants found the practical exercises very useful and valued the group work, which allowed for interactions between the different stakeholder groups.

The first scenario highlighted the importance of organizational design to foster a collaborative work culture, provide opportunities for interactions among agencies and disciplines, and create teams of personnel with a variety of backgrounds and experiences.

Google demoed the tech using a smartwatch, for instance, but it could also work for building gesture interaction into otherwise solid objects like a desk, for instance.

This algorithm, denoted vigiRank, is inspired by similar work for adverse drug interaction surveillance [ 24]. vigiRank is a predictive model for emerging safety signals, here implemented with shrinkage logistic regression to identify predictive variables and estimate their respective contributions.