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Decay Models

If mixing quaHty better than 95% is desired, the blend time can be estimated using a variance decay model for ampHtude of concentration variation ... [Pg.427]

Let us also consider the following exponential decay model, often encountered in analyzing environmental samples,... [Pg.136]

Fig. 4.9. Schematic of time-resolved fluorescence anisotropy sample is excited with linearly polarized light and time-resolved fluorescence images are acquired with polarization analyzed parallel and perpendicular to excitation polarization. Assuming a spherical fluorophore, the temporal decay of the fluorescence anisotropy, r(t), can be fitted to an exponential decay model from which the rotational correlation time, 6, can be calculated. Fig. 4.9. Schematic of time-resolved fluorescence anisotropy sample is excited with linearly polarized light and time-resolved fluorescence images are acquired with polarization analyzed parallel and perpendicular to excitation polarization. Assuming a spherical fluorophore, the temporal decay of the fluorescence anisotropy, r(t), can be fitted to an exponential decay model from which the rotational correlation time, 6, can be calculated.
Chemical/Physical. Hydrolysis in distilled water at 25 °C produced c/5-3-chloro-2-propen-l-ol and HCl. The reported half-life for this reaction is 1 d (Milano et al., 1988 Kollig, 1993). Kim et al. (2003) reported that the disappearance of c/5-1,3-dichloropropylene in water followed a first-order decay model. At 25 and 35 °C, the first-order rate constants were 0.077 and 0.286/d, respectively. The corresponding hydrolysis half-lives were 9.0 and 2.4 d, respectively. [Pg.435]

Equations (5.1) define a direction vector at each point (t,y) of the n+1 dimensional space. Fig. 5.1 shows the field of such vectors for the radioactive decay model (5.2). Any function y(t), tangential to these vectors, satisfies (5.2) and is a solution of the differential equation. The family of such curves is the so called general solution. For (5.2) the general solution is given by... [Pg.261]

This correlation corresponds to an exponential decay model, k = koe aY. This expression differs from the conventional exponential model often used in continuous-flow systems 22, 23), k = koe at, in that the analog to time in a pulsed reactor is pulse number or its equivalent, cumulative feed introduced. In our case the correlating quantity is cumulative feed converted, Y. If one assumes that deactivation is caused by coke, the amount of which is proportional to hexane actually converted, this... [Pg.598]

Table IV lists the values of the two parameters, k0 and a, in the exponential decay model for each sample. Too much credence should not be placed in the exact magnitudes of these values since it is known for an exponential model that the covariance of the two parameters is very high (25). It is clear, nevertheless, that the initial activity/ presumably measured by k0, decreases markedly as aluminum is progressively extracted by acid extraction (samples 2 and 3) but increases as sodium is removed by NH4NO3 exchange (samples 4 and 5). Table IV lists the values of the two parameters, k0 and a, in the exponential decay model for each sample. Too much credence should not be placed in the exact magnitudes of these values since it is known for an exponential model that the covariance of the two parameters is very high (25). It is clear, nevertheless, that the initial activity/ presumably measured by k0, decreases markedly as aluminum is progressively extracted by acid extraction (samples 2 and 3) but increases as sodium is removed by NH4NO3 exchange (samples 4 and 5).
In the frequency-domain, the experimentally measured quantities are the frequency- (w) and wavelength- (X) dependent phase shift (0m(X,a>)) and demodulation factor (MnXX, )). For any assumed decay model (equation 1), these values are calculated from the sine (S(X,o>)) and cosine (C(X,w)) Fourier transforms. If we assume the decay kinetics are described by a simple sum of exponential decay times we have (24) ... [Pg.97]

Review of compatibility data in this manner is important and useful in many cases. If Arrhenius treatment fits the decay observed in the compatibility samples, data obtained under relatively short-term accelerated stress conditions can efficiently be used to extrapolate the amount of decay expected at realistic long-term storage conditions. The adherence of decay to Arrhenius kinetics provides the formulator with a powerful tool for prediction and understanding of degradation. This decay model is the basis for the International Committee on Harmonization (ICH) quality guidelines... [Pg.450]

Wilkes, Koontz and Cinalli (1996) investigated the emission during 8 to 9 days of low vapor pressure VOCs from water-based paints applied to prepainted gypsumboard. They observed that a double exponential decay model (empirical constants a, b, x, y) fitted the data well ... [Pg.382]

The pathogens (103 to 104 spores mL 1) caused significant shoot growth inhibition within 25 to 30 h and seedling death within 40 to 50 h. Stem collapse time, as a function of various spore concentrations, was also a useful bioassay parameter. Nonlinear regression analysis86 was used to model stem collapse time as a function of spore concentration (Fig. 16.2, solid lines). The trend used for this model was an exponential decay model of the form ... [Pg.344]

Effects of different C. truncatum and A. cassiae spore concentrations on seedling stem collapse bioassay of hemp sesbania and sicklepod, respectively. Solid lines for each data set = predicted trends for C. truncatum/hemp sesbania and for A. cass/ ae/sicklepod interactions, respectively, based on the exponential decay model described in the text. Triangles = recorded values and closed circles = recorded values for A. cass/ ae/sicklepod and C. truncatum/hemp sesbania, respectively. (From Hoagland, R. E. 1995, Biocontrol Sci. Techno ., 5, 251-259. With permission.)... [Pg.346]

In Fig. 2, there are two features worth noting. First, the decay of the 0-H peak and the decay of the free-electron concentration are correlated, providing evidence that the 0-H complexes are shallow donors. Second, the data were fit using a biexponential decay model. [Pg.127]

Note that if the radiative rate kf can be calculated, then the fluorescence decay rate and fluorescence lifetime follow from the fluorescence quantum yield (jy. Of course, the situation is often more complex. As will be described below, fluorescence decays for proteins often do not follow the single exponential decay model of Equation 2. The fluorescence quantnm yield and Equation 3 then provide an average fluorescence lifetime. [Pg.552]

For the Ti02 system the work by Knotek, Jones and Rehn [86] showed that the desorption by ESD and also PSD of H, OH and F following water exposure (with residual fluorine) has major thresholds at the O 2s and F 2s core levels, consistent with the applicability of Auger decay model also to covalent che-... [Pg.614]

Feineman M. D. and DePaolo D. J. (2002) A diffusion-decay model for steady-state U-series disequilibrium in the mantle with implications for island arc lavas. EOS, Trans., AGU 83(47) Fall Meet. Suppl. [Pg.1908]

The rate of physical mixing and volumetric expansion caused by carbon additions declines quickly with time. Soil carbon accumulation with time (Figure 7(d)) can be described by the following first-order decay model (Jenny et al., 1949) ... [Pg.2268]

This differential response is generally not seen in laboratory studies of SOM mineralization (Fang and Moncrieff, 2001 Katterer et al., 1998 Kirschbaum, 1995) or in an analysis of field studies conducted in nonmoisture limiting systems (Lloyd and Taylor, 1994). For example, Katterer et al. (1998) empirically fit two-component exponential decay models (Equation (5)) to 25 sets of incubation data and found that a single nonlinear model could explain 96% of the variance in the SOM decay rate response (r) factor to temperamre (Figure 33). The r-factor is simply a scalar that adjusts aU ki and 2 values to a common temperamre (r = 1 at 30 °C), i.e.. [Pg.4160]

Calculations were made for the initial and final states of the waste, and also year by year to show the impact of radioactive decay. Modelling of any short-term increases in hazard potential arising from retrieval, immobilisation and store management operations is outside the scope of the RHP, which is intended to be a measure of progress towards passively safe storage rather than a continuous hazard monitor . The RHP is normally calculated either annually or upon work-stream completion. [Pg.128]

WEXPRED calculates weighted (1/square root y) sum of squared deviations for fitting % pharmacokinetic data (biexp) to a four parameter, biexponential decay model. This % allows demonstration of non-linear regression by simplex, simulated annealing, or other % optimization techniques. [Pg.461]

For a crystalline/crystalline blend, Yoshie et al. [151] studied blends of PVA and poly(3-hydroxybutyrate) (PHB). They found that PVA/PHB is compatible only when the blend contains a larger amount of PVA, and Model C was found with amorphous and crystalline PHB. Kwak et al. [94] studied poly(ether-ester)/PVC to find a common Ti, but double-exponential Tip decays. Model B was proposed with a mixed amorphous phase and two microcrystalline phases for component polymers. Note that Guo [95] reexamined this blend and pointed out that these assignments have to be reconsidered. [Pg.394]

Tabic 7.2 Important classical catalyst decay models. [Pg.214]


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Case study prediction of permeate flux decay during ultrafiltration performed in pulsating conditions by a hybrid neural model

Case study prediction of permeate flux decay during ultrafiltration performed in pulsating conditions by a neural model

Decay model, discrete-continuum

Distance decay tunneling-pathway model

Exponential decay model

First order decay models

Model residue decay

Radon decay products modeling size distributions

Simple Decay Models for Ultrafast Photodissociation

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