Sentence examples for sdm standards from inspiring English sources

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CDISC ODM and SDM standards are extended using an archetype approach to enable a two-level model of individual data elements, representing both research content and clinical content.

In order to define case report forms and study designs for the RCT, we used the CDISC ODM and SDM standards, but adding an archetype approach for the description of the data element "payload" [ 14].

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The performance measurement criteria considered in our simulation study are the mean of estimated parameters, the standard deviation from the mean (SDM), the standard deviation from the given value, that is, the true value (SDT), and the average sum-squared error (ASSE) given by (56).

No significant difference was found when subgroup HDP25 was compared with the ones fed the standard diet (SDM, SDNP, SDP36, and SDP25) (Fig.  10).

The reduction in glucose and cholesterol levels in subgroups HDH36 and HDH25 was so significant that these animals did not significantly differ from the ones that were fed the standard diet (SDM, SDNP, SDP36, and SDP25) (Figs.  8 and 9).

GEFeS and SDM were applied to the standard AIS and mAIS, therefore, creating four variants: (−SDM, −GEFeS Neither SDM nor GEFeS were applied.

sdm, soil dry matter; SD, standard deviation.

For the description of the phenomena occurring in packed-bed reactors a wave model (WM) has been proposed by Kronberg and Westerterp (Chem. Eng. Sci. 54 (1999) 3977) as an alternative to the standard dispersion models (SDM).

With a computational complexity for detector set generation of O(n3), where n = the initial detector set size, SDM requires significantly more resources than the standard AIS and mAIS without SDM, where detector set generation has a computation complexity of O(n).

Our results show that the use of GEFeS in conjunction with SDM improves the performances of the standard AIS and mAIS.

During division, in both daughter cells, the migration propensity pi and maximum migration distance mi are mutated with probability µ by drawing a random number from a truncated normal distribution with mean pi or mi and standard deviation sdp or sdm, respectively.

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