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Matrix transfer-intensity

Someone in Orchem research management had conceived an idea for a better product. The weakness of spirit duplication systems was that the wax sheets inevitably leaked color onto the hands of the people who handled them. Secretaries hated them, as the intense colors in the wax matrix transferred to clothing, causing severe staining. Why not have a leucodye, i.e., a colorless precursor of a dye present in the wax layer, and moisten the receiver sheet with an alcoholic solution of an oxidant For a variety of reasons, the preferred oxidant was chlor-anil (tetrachlorobenzophenone), an inexpensive, colorless, and effective material (Scheme 4.6). Unfortunately, this compound also gave rise to hydrochloric acid... [Pg.147]

The transfer probability Pij (t0,t) gives the conditional probability that a given particle resident in compartment i at time ta will be in compartment j at time f. Because the particles move independently, the transfer probabilities do not depend on the number of other particles in the compartments. In this way, the (t0,t) serve to express the Markovian process. Indeed, the Markov process can be expressed in terms of the to X to transfer-intensity matrix H (/,) with (i,j)th element //,v (/,) given... [Pg.206]

The so-defined elements hij (t) of the transfer-intensity matrix are called the hazard rates, and define the conditional probability... [Pg.207]

The first one (A) is a catenary system with pseudocompartments associated with a Ai hazard rate. The transfer-intensity matrix H is... [Pg.226]

The third configuration (C) is unusual because the phenomenological compartment output takes place from the second pseudocompartment and the output of the last pseudocompartment is fed back to the second pseudocompartment. The transfer-intensity matrix is... [Pg.227]

In conclusion, the solutions E Qt (f)] for the expected values for such stochastic models are the same as the solutions qT (t) for the corresponding deterministic models, and the transfer-intensity matrix H is analogous to the fractional flow rates matrix K of the deterministic model. If the hazard rates are constant in time, we have the stochastic analogues of linear deterministic systems with constant coefficients. If the hazard rates depend on time, we have the stochastic analogues of linear deterministic systems with time-dependent coefficients. [Pg.242]

To illustrate the process uncertainty, we present the case of the two-compartment model, Figure 9.1. Equations (9.5) associated with the transfer-intensity matrix H were used to simulate the random distribution of particles, which expresses the process uncertainty. [Pg.245]

Raman spectroscopy has been applied to determine the stiffness (modulus) of CNCs and stress-transfer in CNCs-reinforced composites or biocomposites where reinforcing phase is too small to be characterized by using standard mechanical techniques. This technique involves the measurement of deformation (a shift in the carbonyl (C-O) mode of the cellulose chain) [96], Originally these shifts of Raman bands were reported for single crystals of polydiacetylene [97] and composites [98] followed by shifts reported for stressed regenerated cellulose fibers [99]. The Raman bands shift is the indication of molecular deformation and determine the extent of stress-transfer between reinforcing CNCs and matrix. The intensity of Raman band measures the orientation distribution of the nanocrystals in composites [96]. Recently, some researchers measured the stress-transfer behavior in microfibrillated cellulose-reinforced polylactic acid and cellulose nanowhiskers-reinforced epoxy-resin composites [96,100]. [Pg.405]

The indexed relative sensitivity factor approach obviates the necessity of measuring the relative sensitivity factors from all possible matrices, by transferring relative sensitivity factors for elements between different matrices by using the matrix-dependence of characteristic intensity ratios in the spectra. Calibration curves are constructed relating RSFs for an element in a matrix to the matrix ion species ratio (e.g. M2+/M+ for element M) generated from a single standard. [Pg.79]

Fig. 9.lld). The up-conversion spectrum consists of three major peaks (Fig. 9.18). [All up-conversion spectra from Er3+ (including those using energy transfer, below) are similar, but the relative intensities of the three peaks vary with concentration of defects and the host matrix.]... [Pg.424]

This general theory is sometimes made more precise by considering that the Golgi body is involved in producing the matrix material while the endoplasmic reticulum transfers calcium to the developing vesicle. The endoplasmic reticulum has been studied most intensively in muscle where its ability to transport calcium into vesicles of the sarcoplasmic reticulum is well known. There is, however, some doubt as to how this ability is developed in non-contractile cells627. ... [Pg.104]

At medium concentrations (10"2 mole %) the scintillation intensity is determined mainly by the product of the efficiency of the nonradiating energy transfer /NXy and the molecular quantum efficiency of Y q0Y (3). Because the decrease of the scintillation intensity is maximum at this concentration and (12) because the molecular quantum efficiency q0y does not depend strongly on temperature, the quantum efficiency of the nonradiating energy transfer must decrease. Therefore, the temperature-dependent behavior is determined mainly by the properties of the matrix material. [Pg.598]

There are several other chemometric approaches to calibration transfer that will only be mentioned in passing here. An approach based on finite impulse response (FIR) filters, which does not require the analysis of standardization samples on any of the analyzers, has been shown to provide good results in several different applications.81 Furthermore, the effectiveness of three-way chemometric modeling methods for calibration transfer has been recently discussed.82 Three-way methods refer to those methods that apply to A -data that must be expressed as a third-order data array, rather than a matrix. Such data include excitation/emission fluorescence data (where the three orders are excitation wavelength, emission wavelength, and fluorescence intensity) and GC/MS data (where the three orders are retention time, mass/charge ratio, and mass spectrum intensity). It is important to note, however, that a series of spectral data that are continuously obtained on a process can be constructed as a third-order array, where the three orders are wavelength, intensity, and time. [Pg.320]


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See also in sourсe #XX -- [ Pg.206 , Pg.207 , Pg.226 , Pg.227 , Pg.242 , Pg.245 ]




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