Sentence examples for marking data from inspiring English sources

A spokesman for the Department for Education said: "We know that unnecessary workload is one of the biggest frustrations for teachers and are working with the profession and education experts to take action of the root causes of preventable workload including looking in more depth at the three issues teachers raised – marking, data management and planning and resources".

(Eventually, EnCoRe hopes to offer a whole range of possibilities – from marking data as inactive to putting them in a cryptographic envelope or even grinding down the hard disk on which they were stored).The larger problem will be to convince companies to implement the technology if they are not legally compelled to do so.

Then it can send signatures along with the marking data to the destinations.

In this method, a virtual register is only a tag marking data dependence between operations without having physical storage location in the RF.

For DVA including illumination balancing, vessel segment marking, data acquisition, and vessel diameter, measurements were obtained using the standard DVA platform.

Eigenvector centrality scores were then calculated to address whether the lemurs with the highest levels of connectedness were the same based on trapping data and louse marking data.

However, the marked data were not excluded if there were multiple marked data points that were clustered, or if the data points were observed consistently throughout the growth phase.

§ 37.850 Should I require recipients to mark data?

Thus, we propose a unified interest-based dissemination framework for opportunistic networks entitled Interest Spaces, which simplifies dissemination by just allowing applications to mark data items with certain tags, letting the framework handle the caching, routing, forwarding, and disseminating.

For the taint marked data, the behavior of the reading database will be processed.

Other parameters, such as the application algorithm or the filter and the margin to mark data as anomalous, also affect the results but to a lesser extent.