Sentence examples for long-standing data from inspiring English sources

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But this strategy is less time-consuming, retrospectively usable, suitable in an exhaustive and long-standing data collection, and avoids inconsistent identification of cause of death between investigators, countries or study periods.

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In addition to long standing data resources such as the Ensembl gene sets (9) and gene trees (10), Ensembl provides other resources such as up-to-date microarray annotations (11).

It is also controversial in Europe for effectively enabling the trampling of EU citizens' fundamental rights — a factor that helped derail a long-standing transatlantic data transfer arrangement, and continues to cause trouble for its replacement agreement (the EU-US Privacy Shield).

More recently, prevention programs with long-standing efficacy data from more controlled conditions and settings, such as Project Alert or Reconnecting Youth (e.g., Bell et al. 1993; Ellickson et al. 1993), were tested for effectiveness in real-world contexts and conditions.

Finally, in contrast to many readmission intervention studies, we were able to collect readmissions to the study hospital and also to all hospitals in the Dallas-Fort Worth metroplex through a long-standing comprehensive data-sharing initiative, thus providing a more accurate assessment of the readmission rate.

In Schrems' original 2013 legal challenge, which resulted in Safe Harbor being struck down last fall, he argued that U.S. Government mass surveillance programs, which NSA whistleblower Edward Snowden revealed to be mining data from consumer web services such as Facebook, invalidated the long-standing EU-US data flow deal by contravening European data protection laws.

Aim at long-standing problems that data lose, omission and loading errors in seismic data loading and quality control of Oil and Gas Field Company, this paper presents a software oriented system design scheme.

The result, in 2015, was a landmark CJEU judgement which struck down a long-standing EU-US data transfer mechanism (called Safe Harbor).

In 2015, a landmark ECJ judgement overturned a long-standing EU-US data transfer mechanism, called Safe Harbor, as a result of his legal action.

Economists Janet Currie and Hannes Schwandt of Princeton University took a new approach to resolving this long-standing question, using data from the vital statistics offices in New Jersey, New York, and Pennsylvania about births between 1994 and 2006.

Finding structures in networks has been a long-standing question in data mining and has inspired the creation of several subgraph mining algorithms, some of which are based on frequent itemset mining.

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