Sentence examples for dynamic data collection from inspiring English sources

This liquid kill rate was recorded easily, as the dynamic data collection would show an abrupt decrease in liquid flow.

Another successful example in this space is UNICEF's RapidSMS initiative: a scalable SMS-based open-source framework for dynamic data collection, logistics coordination and communication.

This is increasing their utility in the sense that the dynamic data collection is close to depicting thought processes that are actually happening with the participants [61].

For example, in 2009, a small group from UNICEF Innovation travelled to Nigeria set up RapidSMS (an SMS-based open-source framework for dynamic data collection, logistics coordination and communication) to monitor the distribution of 45 million mosquito nets.

The technology utilizes RapidSMS, a free and open-source framework for building mobile applications for dynamic data collection, logistics coordination and communication.

The technology utilizes RapidSMS, a free and open-source framework for building mobile applications for dynamic data collection, logistics coordination and communication, leveraging basic short message service (SMS) mobile phone technology.

Hypotheses are needed before data collection because model-driven quantitative analyses require rich dynamic data collected under defined conditions and stimuli.

In the latter case, a focus on developing a dynamic, highly flexible data collection facility is needed.

Underlying the interaction between the facilitator and participant is a specific research question that includes a dynamic process, of data collection and data analysis.

We will also investigate the dynamic generation of data collection use interfaces from archetypes, which is technically feasible and indeed what archetypes should support, data entry fields corresponding to their archetype structure counterparts and linking to SNOMED terms and these being recorded in an EHR of the same structure.

Although the integration of automated data collection, dynamic expected utility modeling, and influence-map visualizations remains in its infancy, the potential applications are broader than the management of policy risk alone.