Sentence examples for entity activities from inspiring English sources

The Activity Flow (AF) language allows scientists to represent influence diagrams, in which entity activities inhibit or stimulate other entity activities.

In our approach, known entity activities represent entity co-occurrences in the textual collection.

This makes it possible to rank all entity activities in the network.

We have extended the VSM with a transitive closure approach in order to predict new potential biological entity activities.

Moreover, we have used the similarity values derived from the VSM to rank the new discovered entity activities.

In this work, our objective is to present a model that employs the VSM in order to identify biological entity activities from a textual collection.

Black boxes, question marks, and filler-terms (such as "activate", "cause", or "inhibitor") hold the place for some entity, activity or process yet to be discovered.

Some mechanists reserve the term "mechanical models" for models that describe the entities, activities, and organizational features of a system.

The taxonomy outlines support entities' activities and highlights some issues related to legal, financial and governance topics.

In this study, we try to discuss community governance and the entities' activities separately, especially focusing on the activities carried out by the support entities.

One central research problem is to say which of these entities, activities, and organizational features contribute to the phenomenon and which do not.