Four variables (pH of solution, amount of extractant (E), amount of nanoparticles (N) and time) were regarded as factors in the optimization.
Numbered jobs from 1 to n and time periods from 1 to T. For t = 1 to T. t = 1.
where M n = M ( n, t ) are the functions of the discrete variable n and time variable t, M n, t = d M n d t.
Each experimental flask was considered a subject for these analyses and factors were nutrient condition (control or low N) and time.
The encoding and the decoding of the proposed algorithm can be performed in O(n log n) time and O(n) time, respectively, where n denotes the number of pixels in a gray image.
Matching criteria were relaxed to identify potential controls in some instances (age (n = 6), date (n = 11), cycle day (n = 13), and time (n = 5)).
Given a polygonal interface with N elements, our algorithms run in O(N) space and O(N log N) time.
The relationship between discrete time delay n and continuous time delay τ is given by: tau_{n}=nfrac{1}{B}, (2).
Our analysis also suggests a link between the residual NPM1 level after induction treatment (n) and survival time (s).
Ignatieff, Just Measure of Pain (n. 3), 197; O'Donnell, Prisoners, Solitude and Time (n. 88), 23.
For the tertiary unfolding, the first half-time is 0.17±0.091 ns and the second half-time is 5.98±1.24 ns.
