Sentence examples for data are not able from inspiring English sources
However, after data aggregation, a certain part of information of macro-data would be lost due to the substantial reduction in variation of the variables, and cross sectional data are not able to reveal the features of the dynamic change in productivity and technology efficiency.
The problem — as always in this recurring data access vs strong encryption story — is that companies that use end-to-end encryption to safeguard user data are not able to hand over information in a readable form as they do not hold the encryption keys to be able to decrypt it.
Therefore, the actual company absence data are not able to fully describe the impact on productivity.
Significantly, molecular rDNA data are not able to resolve several evolutionary important nodes in the myxosporean phylogenetic tree [ 16].
The present data are not able to show whether TFB ions are transported into cells by NIS, or whether they merely occupy a binding site.
Moreover, hospital data are not able to distinguish morbidity associated with pregnancy (temporal association) from maternal morbidity directly caused by pregnancy (temporal and causal association).
But limitation is quite a part of oral microorganisms of HOMD data aren't able to be cultivated, of which as much as 20% to 60% has been estimated to be uncultivable (Human Microbiome Project Overview, 2017), because of the restriction of the culture conditions, the interaction of microbes and so on.
As Itamar Rosenn, a researcher at Facebook in Palo Alto, Calif., wrote in an e-mail: "Our data is not able to account for differences in honesty and overall disclosure among genders and relationship status types; we can only observe what the user herself provides".
By contrast, if the wireless device is turned to sleep mode when data is not able to be transmitted, we can efficiently reduce power consumption.
However, if speaker adaptation techniques are employed, un-transcribed foreign data was not able to improve the performance of the baseline systems trained on target data only.
The resulting sample data is not able to compare different types of knowledge communities and networks, and does not reflect the differences between sectors.
