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HALLOWEEN6PRODUCERSCUTavi Â· its termination at a rate of approximately $
19,000,000 per year.
In the statement of the rate of return to the Commission,
the Company quoted the data for 1992, immediately after the
Commission’s decision, citing the fact that that was the
latest fiscal year and the closest year of financial data
available. The Commission considered, however, that the
Company’s application contemplated a rate base of $110,000,000
and therefore that it was “inappropriate to employ for
purposes of this proceeding the audited financial statements
– 4 –
The Commission did, however, determine that
the Company’s rate of return on its post-sanction investment
would be approximately $6,000,000. The rate base for that
HALLOWEEN6PRODUCERSCUTavi Â· The Big Bang Theory Season 7 Nlm Com Araln 1 Full Download In Mp3 FapTopOtto I, Count of Nassau
Otto I, Count of Nassau (died 966) was Count of Nassau from 923 until his death. In addition to Count, he held the county in fief from the Holy Roman Emperor Louis IV and was concurrently Count of Hoya and Landau.
His parents were Otto, Count of Saarbrücken, and Bertha.
Otto’s brother, Berthold I, Count of Nassau-Saarbrücken, was married to Matilda, Countess of Sponheim and they had a son named Herman I, Count of Sponheim.
Category:10th-century rulers in Europe
Category:Counts of Nassau
Category:10th-century German people
Category:Year of birth unknownThe mixed effects principle in biomarker-therapeutic drug relationship: a theoretical development of concepts and assumptions.
The recent “biomarker-therapeutic drug relationship” has elicited great interest and controversy in the field of drug development. We propose a theory of mixed effects when applied to a biomarker-therapeutic drug relationship. We discuss the biological concepts of mixed effects (effects due to multiple contributing factors) and their connections to target drug concentration, surrogate markers and adverse drug events. The basic conceptual and technical assumptions made are summarized in three points: (1) The biomarker concentration can be a mixed factor of the biological effect, the drug effect, and the background genetic factors such as polymorphisms. (2) The effect of biomarker change can be dependent on baseline levels and may be nonlinear. (3) Although the indirect exposure doses are important in pharmacokinetic analysis, the main pharmacologic effect are more important. The application of the mixed effects principle can help to understand and predict the real-time impact of biomarker concentration changes on the therapeutic drug effect. We hope that mixed effects principles can be a valuable theoretical tool in the field of drug development.Q:
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