Sentence examples for dynamic flow of information from inspiring English sources

There is a highly dynamic flow of information in a situation where most of the relevant data is heterogeneous, cannot be predicted and loaded previously.

Neurobehavioral functions depend on a dynamic flow of information between various gray matter brain regions which are interconnected via white matter pathways [1], [2].

In naturalistic situations, as when observing a person grasping a hairdryer, the comprehension of the action outcomes depends on the ability to rapidly integrate a dynamic flow of visual information.

The diagram attached to the DNA from below captures some aspects of the dynamic flow of control and information, with its various types of arrows and nodes (e.g., that the value produced at i5 is a function of two Boolean values coming from UI and R and a numeric value coming from i4, and that it produces a Boolean value that has an inhibiting effect at i7).

A real time, flowing, dynamic stream of information — that we as users and participants can dip in and out of and whether we participate in them or simply observe we are a part of this flow.

Our theory for smart institutions spans the social sciences and emphasizes a dynamic and circular flow of information; in a system of smart institutions, the steering institutions interact with their environment to effect economic, social and political change; the impact of such changes creates feedback that recursively affects the behavior and the overall design of the system.

Engineering autonomous agents that display rational and goal-directed behavior in dynamic physical environments requires a steady flow of information from sensors to high-level reasoning components.

T2DM is a complex and dynamic problem that requires a steady flow of information for healthcare providers to guide their clinical and managerial decision-making.

Simple linear and non-linear systems with quasi-static and dynamic output are used to illustrate the flow of information from input to output and assess the sensitivity of some output properties to the input model.

Current data storage and replication systems fail at both coping with such overwhelming amount of heterogeneous data and at satisfying the stringent requirements posed by this technology (i.e., dynamic nature of the physical resources, continuous flow of information and autonomous behavior demands).

A wealth of literature now shows that host-microbial interactions can be much more complex and dynamic than previously understood, with a constant flow of information that can have far reaching consequences [ 6].