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All experiments were performed in triplicate and the average CA concentration was treated as the response.
For comparison, non-encapsulated MMP-1 at the same concentration was treated with the same method and used as the 100% bioactivity benchmark.
However, the model used was a simplification in which the cytosolic free Ca2+ concentration was treated as a fixed parameter and the second slow variable (in addition to the variable n used here) was an inactivation variable for an A-type K+ current.
Consequently, untransformed arsenic concentration was treated as a continuous variable in regression models.
Consequently, log-transformed inorganic arsenic concentration was treated as a continuous variable in regression models.
The log-odds of case status varied linearly with the arsenic levels of well water; consequently, untransformed arsenic concentration was treated as a continuous variable in regression models.
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The data of peak area versus drug concentration were treated by linear least square regression.
Both the cases of constant and dynamically varying initiator concentration were treated for a wide range of reactor operating conditions.
If the enzyme concentration is treated as an adjustable parameter, an empirical three-point D-optimal design consists of three inhibitor concentrations equal to I1= 0, I2="E+3K, and I3= 0.7E.
The data of peak area versus drug concentration were treated by linear least square regression and the concentration range showing best regressions was considered for linearity [ 35].
The highest eradication of both bacteria was achieved when cells at low concentration were treated by PS at high concentration (Tables 1 and 2).
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