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Factor difference

The values obtained for the acentric factor differ significantly from one another. As shown in Figure 4.3, this factor depends on the temperature, the physical property being considered, and the method used. [Pg.114]

This relation is used only for temperatures greater than 0°C. The average error is about 5 kJ/kg. Figure 4.5 gives the enthalpy for petroleum fractions whose is 11.8 as a function of temperature. For K, factors different from 11.8, a correction identical to that used for Cpi is used (to... [Pg.124]

At the limit of Knudsen diffusion control it is not reasonable to expect that any of the proposed approximation methods will perform well since, as we know, percentage variations in pressure are quite large. Nevertheless it is interesting to examine their results, which are shown in Figure 11 4 At this limit it is easy to check algebraically that equations (11.54) and (11.55) become the same, while (11.60) differs from the other two. Correspondingly the values of the effectiveness factor calculated using the approximation of Kehoe and Aris coincide with the results of Apecetche et al., and with the exact solution, ile Hite and Jackson s effectiveness factors differ substantially. [Pg.138]

The sensitivity of the balance. The sensitivity of the balance may conveniently be defined as the deflection of the balance pointer over the scale caused by an excess of i mg. on one of the pans. This factor differs according to the actual load on the pans, and it is usual to plot the sensitivity at a series of loads over the range within which the balance is to be used the sensitivity at any particular load may then be determined at once by reference to the curve. [Pg.465]

Valid emission factors for each source of pollution are the key to the emission inventory. It is not uncommon to find emission factors differing by 50%, depending on the researcher, variables at the time of emission measurement, etc. Since it is possible to reduce the estimating errors in the... [Pg.93]

In risk characterization, step four, the human exposure situation is compared to the toxicity data from animal studies, and often a safety -margin approach is utilized. The safety margin is based on a knowledge of uncertainties and individual variation in sensitivity of animals and humans to the effects of chemical compounds. Usually one assumes that humans are more sensitive than experimental animals to the effects of chemicals. For this reason, a safety margin is often used. This margin contains two factors, differences in biotransformation within a species (human), usually 10, and differences in the sensitivity between species (e.g., rat vs. human), usually also 10. The safety factor which takes into consideration interindividual differences within the human population predominately indicates differences in biotransformation, but sensitivity to effects of chemicals is also taken into consideration (e.g., safety faaor of 4 for biotransformation and 2.5 for sensitivity 4 x 2.5 = 10). For example, if the lowest dose that does not cause any toxicity to rodents, rats, or mice, i.e., the no-ob-servable-adverse-effect level (NOAEL) is 100 mg/kg, this dose is divided by the safety factor of 100. The safe dose level for humans would be then 1 mg/kg. Occasionally, a NOAEL is not found, and one has to use the lowest-observable-adverse-effect level (LOAEL) in safety assessment. In this situation, often an additional un-... [Pg.329]

When investigating the suitability of a particular resin-bound separations process, the following factors are often important (i) resin consumption (ii) solvent usage (iii) productivity-chemical, optical and volume yields (iv) total number of separations steps and (v) capital costs. For any particular process, these factors differ in their relative importance. However, when evaluating a new separations method it is useful to examine each of these factors. The nonchromatographic separation method... [Pg.209]

Recall that the unit cell in the spinels comprises AgBi6032. In the normal structure, there are 16 B ions in octahedral sites and 8 A ions in tetrahedral ones. That corresponds to 96 octahedral B-0 bonds and 32 tetrahedral A-0 bonds or 128 bonds in all. In the inverse structure, we have 8 B ions in tetrahedral sites, 8 B ions in octahedral ones, and 8 A ions in octahedral sites. This corresponds to 48 octahedral B-O bonds, 32 tetrahedral B-O bonds and 48 octahedral A-O bonds or once again, 128 bonds in all. So the total number of M-O bonds, different types to be sure, is the same in both normal and inverse spinel structures. We could spend quite some time estimating the different bond energies of A-0 and B-O or of octahedral versus tetrahedral, but that would undoubtedly involve a lot of guesswork. We can at least observe that the bond count factor difference between the spinel... [Pg.160]

Jurivich, D.A., Pachetti, C., Qui, L., Welk, J.F. (1995). Salicylate triggers heat shock factor differently than heat. J. Biol. Chem. 270, 24489-24495. [Pg.455]

Lyotropic LCs can also be described by a simple model. Such molecules usually possess the amphiphilic nature characteristic of surfactant, consisting of a polar head and one or several aliphatic chains. A representative example is sodium stearate (soap), which forms mesophases in aqueous solutions (Figure 8.4a). In lyotropic mesophases, not only does temperature play an important role, but also the solvent, the number of components in the solution and their concentration. Depending on these factors, different types of micelles can be formed. Three representative types of micelles are presented in Figure 8.4b-d. [Pg.359]

In the Arrhenins eqnation, the real activation energy is combined with a real (measnrable) preexponential factor. According to Eqs. (14.1) and (14.10), this factor differs from the trne factor by the multiplicative entropy term exp( a AS /R). [Pg.243]

We note also that, experimentally, the STM contrast is found to change as much as 0.5 A depending on the applied (positive) bias and specific tips. On these grounds, it is reasonable to expect that different tips would result in scaling factors different from the ones reported in [4]. In this respect, simultaneous AFM and STM of the surface acquire additional importance for the identification of experimental tip structures, and consequently, the scaling factor required to gain quantitative agreement between... [Pg.109]

Fitzgerald et al. (1984) measured pressure fluctuations in an atmospheric fluidized bed combustor and a quarter-scale cold model. The full set of scaling parameters was matched between the beds. The autocorrelation function of the pressure fluctuations was similar for the two beds but not within the 95% confidence levels they had anticipated. The amplitude of the autocorrelation function for the hot combustor was significantly lower than that for the cold model. Also, the experimentally determined time-scaling factor differed from the theoretical value by 24%. They suggested that the differences could be due to electrostatic effects. Particle sphericity and size distribution were not discussed failure to match these could also have influenced the hydrodynamic similarity of the two beds. Bed pressure fluctuations were measured using a single pressure point which, as discussed previously, may not accurately represent the local hydrodynamics within the bed. Similar results were... [Pg.69]

The way of using the index is flexible. Comparisons can be made at the level of process, subprocess, subsystem, or considering only part of the factors (e.g. only process oriented factors). Different process alternatives can be compared with each other on the basis of the ISI. Also the designs of process sections can be compared in terms of their indices in order to find the most vulnerable point in the design. Sometimes a comparison based on only one or two criteria is interesting. E.g. a toxicity hazard study can be done by considering only the toxic exposure subindex. Because its flexibility the total inherent safety index is quite easily integrated to simulation and optimization tools. [Pg.60]

Because the importance of these factors differs between the different trace elements, predicting mobilities is complicated. The tendency to form organic... [Pg.218]

The concept that infants and children may be a sensitive subgroup relates to their relative immaturity compared to adults. Children, as well as the unborn child, have in some cases appeared to be uniquely vulnerable to toxic effects of chemicals because periods of rapid growth and development render them more susceptible to some specific toxic effects when compared to adults. In addition to such toxicodynamic factors, differences in toxicokinetics may contribute to an increased susceptibility during these periods. It should be noted, however, that during the developmental and maturational periods the susceptibility to exposure to xenobiotics in children may be higher, equal, or even lower than in adults. Except for a few specific substances, not very much is known about whether and why the response to a substance may differ between age groups. It should also be borne in mind that, in terms of risk assessment, children are not simply small adults, but rather a unique population (Nielsen et al. 2001). [Pg.245]

To account for temperature factor differences, a temperature scale factor kT multiplying the neutron temperature parameters may be introduced, as defined by the expression (Coppens et al. 1981)... [Pg.87]

With Acp = (pltM — phase-factor difference in the phase contribution can be rewritten as... [Pg.109]

The instruments consist of the actual sensor (gauge head, sensor) and the control unit required to operate it. The pressure scales or digital displays are usually based on nitrogen pressures if the true pressure pj of a gas (or vapor) has to be determined, the indicated pressure p, must be multiplied by a factor that is characteristic for this gas. These factors differ, depending on the type of instrument, and are either given in tabular form as factors independent of pressure (see Table 3.2) or, if they depend on the pressure, must be determined on the basis of a diagram (see Fig. 3.11). [Pg.81]

Two types of precision are usually distinguished, namely the repeatability and the reproducibility. Repeatability is the precision obtained in the best possible circumstances (same analyst, one instrument, within one day when possible) and reproducibility under the most adverse possible circumstances (different laboratories, different analysts, different instruments, longer periods of time, etc.). Reproducibility can be determined only with interlaboratory experiments. Intermediate situations may and do occur. They are for instance defined in terms of M-factor-different intermediate precision measures, where M is one, two, three or even higher [8,9]. In this definition M refers to the number of factors that are varied to make the estimation. The most likely factors to be varied are time, analyst and instrument. According to this terminology, one estimates e.g. the time-and-analyst-different intermediate precision measure (M=2), when the precision is determined by measuring a sample over a longer period of time in one laboratory by two analysts with one instrument. [Pg.82]

K/aki)1/bi. Since output is equal to the smaller of these two values, equality of the ratios implies no redundant inputs. Output is proportional to the vertical axis, since li/a, but the proportionality factor differs for each process. The exponent, b, is usually found to be approximately. 6 or. 7 if represents plant and equipment measured in dollars. Because of the increasing returns to when b < 1, it will generally not be profitable to produce output by using more than one process, so that many combinations of inputs will not be utilized when a small number of processes are available. [Pg.107]

Because of such factors, differences in enzyme activity or level or availability of cofactors and protective agents will change the balance between toxication and detoxication within an organism between organs or tissues. This leads to particular organs being targets for toxicity, while others are spared. Similarly, some species or individuals will be more or less susceptible or even resistant because of similar variation. [Pg.118]


See other pages where Factor difference is mentioned: [Pg.1582]    [Pg.1597]    [Pg.300]    [Pg.523]    [Pg.100]    [Pg.28]    [Pg.17]    [Pg.173]    [Pg.691]    [Pg.171]    [Pg.49]    [Pg.218]    [Pg.277]    [Pg.62]    [Pg.48]    [Pg.196]    [Pg.197]    [Pg.289]    [Pg.87]    [Pg.193]    [Pg.36]    [Pg.28]    [Pg.239]    [Pg.117]    [Pg.516]   
See also in sourсe #XX -- [ Pg.111 ]




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Bond length difference, as a factor in steric

Bond length difference, as a factor in steric effects

Charge differences factor

Data interpretation factors species difference

Difference equations factorization

Difference fractionation factor

Difference scheme factorized

Difference structure factor

Difference structure factors, isotope substitutions

Ethnic differences subjective factors

Factors contributing to difference

Fanning friction factor difference

Friction factor Reynolds number, differences

G-factors, differences

Influencing factors different current densities

Logarithmic-mean temperature difference correction factor

Number of distinctly different factor combinations

Phase factor difference

Stable isotopes difference fractionation factor

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