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Long interval method

The long-interval method involves the calculation of k using the initial values of reactant concentrations successively with each of the other values of the measured concentrations and times. If there are (n + 1) measurements of the concentrations of interest (including the initial value), the procedure yields n values of k. The average value of k is then taken to be the arithmetic average of these computed values. [Pg.53]

The LIN method (described below) was constructed on the premise of filtering out the high-frequency motion by NM analysis and using a large-timestep implicit method to resolve the remaining motion components. This technique turned out to work when properly implemented for up to moderate timesteps (e.g., 15 Is) [73] (each timestep interval is associated with a new linearization model). However, the CPU gain for biomolecules is modest even when substantial work is expanded on sparse matrix techniques, adaptive timestep selection, and fast minimization [73]. Still, LIN can be considered a true long-timestep method. [Pg.245]

A different approach consists of stepwise changing the adsorbent temperature and keeping it constant at each of the prefixed values Tx, Ts,. . ., Tn for a certain time interval (e.g. 10 sec), thereby yielding the so-called step desorption spectra s(81-85). The advantage of this method lies in a long interval (in terms of the flash desorption technique) for which the individual temperatures Ti are kept constant so that possible surface rearrangements can take place (81-83). Furthermore, an exact evaluation of the rate constant kd is amenable as well as a better resolution of superimposed peaks on a desorption curve (see Section VI). What is questionable is how closely an instantaneous change in the adsorbent temperature can be attained. This method has been rarely used as yet. [Pg.362]

It is often necessary to estimate the spread of results obtained in different laboratories. A laboratory needs to show that the results from an analytical method are reproducible. Reproducibility is similar to repeatability except that the analyses are carried out on identical samples under reproducibility conditions e.g. different operator, different apparatus, different laboratory, long interval of time). Reproducibility limit is similar to repeatability limit except that the results are obtained under reproducibility conditions. [Pg.33]

The °Th and Pa methods are not used directly for absolute dating of individual sedimentary horizons, because the assumption that No is constant over time does not hold exactly but can be upset by fluctuations due to changes in sediment-deposition rate and other factors. Instead, the common practice is to use the decreasing activity with depth to derive an average rate of sediment accumulation over the length of a core or some other long interval. If t is the age (time since deposition) of a sediment horizon at depth z, and if S is the average sediment accumulation rate (thickness per unit time), then from Equation (1)... [Pg.3176]

A method for forming and delivering single droplets from a source fluid of larger volume as commanded. Typically droplets delivered on demand may be provided one at a time over long intervals or quickly in succession. [Pg.402]

Fig. 3. Top left long time interval results for the SPL method with stepsize At = 0.05 (to T=250) top right corresponding energy variation. Center and Bottom equivalent diagrams for RK4a (At = 0.1) and RK4b (At = 0.1). Fig. 3. Top left long time interval results for the SPL method with stepsize At = 0.05 (to T=250) top right corresponding energy variation. Center and Bottom equivalent diagrams for RK4a (At = 0.1) and RK4b (At = 0.1).
A form of this approach has long been followed by RT Corporation in the USA. In their certification of soils, sediments and waste materials they give a certified value, a normal confidence interval and a prediction interval . A rigorous statistical process is employed, based on that first described by Kadafar (1982,), to produce the two intervals the prediction interval (PI) and the confidence interval (Cl). The prediction interval is a wider range than the confidence interval. The analyst should expect results to fall 19 times out of 20 into the prediction interval. In real-world QC procedures, the PI value is of value where Shewhart (1931) charts are used and batch, daily, or weekly QC values are recorded see Section 4.1. Provided the recorded value falls inside the PI 95 % of the time, the method can be considered to be in control. So occasional abnormal results, where the accumulated uncertainty of the analytical procedure cause an outher value, need no longer cause concern. [Pg.246]

Quite often a compound is rather unstable in aqueous solution. Hence the long exposure to liquid required for traditional solubility measurements will cause decomposition, and the resulting solubility results will be unreliable. In this particular case a method known as Nogami s method may be used. If a solution experiment is carried out as a dissolution experiment with samples taken at equal time intervals, 8, it can be shown [20] that when the amount dissolved at time t + 8 is plotted versus the amount dissolved at time t, a straight... [Pg.179]


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See also in sourсe #XX -- [ Pg.53 ]

See also in sourсe #XX -- [ Pg.44 ]




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