Sentence examples for data about interactions from inspiring English sources

Specifically, with the use of trace data about interactions and utilizing the multilevel linear mixed modeling techniques, the study examined whether frequency and duration of student student, student instructor, student system, and student content interactions had an effect of learning outcomes, measured as final course grades.

Facebook, Myspace, Twitter, LinkedIn, etc. have created huge amounts of data about interactions of social networks.

My90 wants to solve that by collecting data about interactions between the police and the public think traffic stops, service calls, etc.—and turn these into actionable intelligence via an online analytics dashboard.

It is intended to further enrich BiSSCat with data about interactions between proteins and small compounds from the existing literature that are not in the present source databases and to incorporate results of future experiments.

For example, data about interaction networks could be retrieved from the protein complexes curated by Lage et al. (2007).

The complexity of the interactions among cellular constituents and the quantity of data about these interactions hinders the ability to predict how cells will respond to perturbation and how they can be engineered for industrial or medical purposes.

Thanks to novel high-throughput methods, large amounts of data about the interactions among proteins is available, which is encompassed in (unsigned and undirected) protein protein interaction networks (PINs) (Pieroni et al. 2008).

How will you be using the data about readers' interactions?

During that spring, we obtained field data about pollination interactions practically without interference from honeybees (only 5% of total pollinator visits were recorded for A. mellifera in 2007; Supplementary Table S3A).

The urgently required data about reactions, interactions and actual impact on soil erosion rates are generally produced under laboratory conditions on highly disturbed substrates, which cannot reflect natural system responses.

The ability to access large customer samples, to automatically collect huge amounts of data about user interactions on websites and apps, and to run concurrent experiments gives companies an unprecedented opportunity to evaluate many ideas quickly, with great precision, and at a negligible cost per incremental experiment.