Sentence examples for the dataset transfer from inspiring English sources

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The dataset transfer (including all herds) over 90 days ending at 2005-10-31 wandused and the run-times were 1783.2 seconds (version 0.6.8) and 2.1 seconds (version 0.8.5), thus the NetworkSummary analysis on the current version is almost 850 times faster.

Similar(59)

Partial dataset transfer from the storage element is implemented in the visualization e-service.

However, in large dataset transfer scenarios, firewalls can introduce latencies, bandwidth ceilings, and, occasionally, dropped packets if under heavy load.

The compressed version of the dataset is transferred to any workstation and reconstructed by scientists and engineers.

The Data Analysis and Publication Committee DAPCC) was funded by a grant from Eli Lilly to the University of California at San Diego as fiduciary for the Alzheimer's Disease Cooperative Study (ADCS) after the semagacestat phase III studies were halted, but before the datasets were transferred to the ADCS.

Naturally, some genes from other Bacteria present in the dataset also underwent transfers that will not be detected using our approach.

For large datasets, transfer to Galaxy via SFTP is available and recommended, but is still limited by the upload speed of the user's internet connection, and can be a bottleneck in the analysis of large datasets.

Full transfer On a synchronization event, the entire dataset is transferred between the mobile device and the remote system.

Their method of constructing the dataset of putative horizontally transferred genes is discussed briefly in the section on results and discussion.

The number of physicians is one of the variables included in the dataset, but it was transferred from the National Physician Census, where all practising physicians in Japan are obliged to register their work addresses every two years.

The general ones reflect the users' environment for virtual screening and include the time for splitting the datasets, the actual transfer of the chunks of data to a computing node, and the overhead to manage parallel jobs.

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