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Distribution determination

Many distribution functions can be apphed to strength data of ceramics but the function that has been most widely apphed is the WeibuU function, which is based on the concept of failure at the weakest link in a body under simple tension. A normal distribution is inappropriate for ceramic strengths because extreme values of the flaw distribution, not the central tendency of the flaw distribution, determine the strength. One implication of WeibuU statistics is that large bodies are weaker than small bodies because the number of flaws a body contains is proportional to its volume. [Pg.319]

Particle size distribution determines surface-to-mass ratios and the distance internal moisture must travel to reach the surface. Large pieces thus have higher critical moisture contents than fine particles of the same material dried under the same conditions. Pneumatic-conveyor flash dryers work because very fine particles are produced during initial dispersion and these have low critical moisture contents. [Pg.243]

Once the mean and standard deviation have been determined, the frequency distribution determined from the PDF can be compared to the original histogram, if one was constructed, by using a scaling factor in the PDF equation. For example, the expected frequency for the Normal distribution is given by ... [Pg.281]

The comparison among these techniques is tabulated in Table 22.1. In summary, HdC is a separation technique with low selectivity however, the efficiency can be very high. Especially in PCHdC, high analysis speed can be achieved over a wide MW range. ThFFF performs best for the separation of high MW samples. SEC has an intermediate selectivity between FldC and ThFFF. Practicality makes SEC the most suitable method for the common MW range of synthetic polymers. SEC is by far the most commonly used technique for molecular weight distribution determinations. However, HdC is better for the fast analysis purpose. [Pg.608]

It can be shown, however, that, under certain conditions, knowledge of all the moments of a distribution determines the distribution uniquely. [Pg.127]

SHARPLESMICROMEROGRAPH- A commercially available air sedimentation device introduced in 1953 (Ref 6) that provides rapid particle size distribution determinations for powdered materials by the application of Stokes law for particles falling thru a static column of gas... [Pg.518]

With the assumption that the frequencies of the different distributions determine one event, the frequency of each event is defined by the product of the individual frequencies. [Pg.750]

The product quality, however, is related to the calendering process. Thickness gradients across the calendered product, thickness variations along the product, as well as cord density distribution determine the quahty of the product and are tremendously related to the process parameters. [Pg.1000]

In a different context, a micropipette has been applied to monitor the current through a single-ion channel in a biological membrane. The patch-clamp technique invented by Sackmann and Neher [119] led to their Nobel Prize in medicine. The variations in channel current with voltage, concentration, type of ions, and type of channels have been explored. While the functions of specific channels, in particular their ionic selectivity, have been well known, only a handful of channels have the internal geometry and charge distribution determined. The development of a theory to interpret the mass of channel data and to predict channel action is still lacking. [Pg.643]

This paper will be limited to a discussion of our packed column studies in which we have addressed attention to questions regarding, (a) the role of ionic strength and surfactant effects on both HDC and porous packed column behavior, (b) the effects of pore size and pore size distribution on resolution, and (c) the effects of the light scattering characteristics of polystyrene on signal resolution and particle size distribution determination. [Pg.2]

The charge distribution determined within clusters by CNDO has been reported for only a few cases. Let us consider only one cluster, the 13-atom fee cluster with only two geometrically different types of atom. There is a center atom with 12 nearest neighbors, and there are 12 surface atoms each with 4 nearest neighbors. At the equilibrium bond length (0.34 nm) the center atom has a net positive charge, but this situation is reversed at the bulk experimental distance (0.288 nm). [Pg.84]

Clearance is a critical parameter because of its role in determining a drug s dose size and frequency. First-pass clearance in combination with absorption determines a compound s bioavailability. Clearance and absorption in combination with potency determine dose size. Clearance and volume of distribution determine half-life, and thus dosing frequency. [Pg.155]

The 3D density contour maps for the Na+ ion distribution determined over the last 250 ns of simulation (Figure 14-8) show that the overall highest probability Na+ occupation sites were concentrated in the active site for both the reactant and activated precursor. This suggests that the HHR folds to form a strong local electronegative pocket that is able to attract and bind Mg2+ if present in solution, or recruit a high local concentrations of Na+ ions in the absence of Mg2+. [Pg.397]

In these reactivity studies, reactions 22a and b were studied and the rate coefficient and product distribution determined as reported above. This product distribution is at variance with a much earlier study where only an association channel was reported, although with a similar rate coefficient 1(—26) cm6 s-1, equivalent to a binary rate coefficient of 2(—10) cm3 s-1 at 0.5 torr.61 The CHsO+, produced in this way and by reaction 23, was reacted with a series of molecules with proton affinities varying from 166 to 193 kcal mol-1 and encompassing that of CH3OH see Table 3. For the production of CH50+ in the association reaction 22a, sufficient water was... [Pg.99]

Particle Size Distribution Determination. To consider the full PSD, a population balance or age distribution analysis on particles must be employed. Table II gives a summary of recent work concerning the determination of PSD s in emulsion systems, using both the "monodispersed" approximation and the population balance approach. More details can be found in the literature sources cited in the Table. [Pg.223]

The cumulants [26] are simple functions of the moments of the probability distribution of 5V-.C2 = (V- V))2),C3 = (V- V)f),C4 = ((]/-(]/))4) 3C22,etc. Truncation of the expansion at order two corresponds to a linear-response approximation (see later), and is equivalent to assuming V is Gaussian (with zero moments and cumulants beyond order two). To this order, the mean and width of the distribution determine the free energy to higher orders, the detailed shape of the distribution contributes. [Pg.426]

All poly(3HB-co-3HV)s synthesized by R. europha that were characterized for sequence distribution were found to be random copolymers as indicated by 13C NMR spectrometry. However, as noted above, the fractionation of some poly(3HB-co-3HV) copolymers revealed that the sequence distributions determined by 13C NMR might not be reliable. In that study, poly(3HB) that had a chad sequence indicative of a random poly(3HB-co-3HV), as determined by 13C NMR, was fractionated into various copolymers that had significantly different compositions. [Pg.76]

The product distribution determined for the reactions performed over a broad temperature range (from -176 to 199 °C) under microwave heating was always more or less different from that obtained by conventional method. Thus, a vigorous formation of isobutene under reflux using microwave heating indicates superheating of the catalyst to a higher temperature. This facilitates the dealkylation reaction, which is promoted by elevated temperature. [Pg.368]

The main human AKRs have been cloned, expressed, and their substrate reactivity profiles and tissue and organ distribution determined. [Pg.110]

Fig. 4 PIC dye nanoparticles prepared by the ion-association method. (1) Particle size distributions (determined by the dynamic light scattering technique) and the corresponding electron micrographs of the dye nanoparticles. The average diameter can be controlled by tuning the molar ratio of TPB- to PIC+ (=[TPB-]/[PIC+]. With an increase in the molar ratio, the average diameter decreased. (2) Absorption spectra of PIC nanoparticles in aqueous solution with different sizes (125 and 64 nm in diameter), exhibiting size-dependent peak shift of the 0-0 band. The spectrum of the aqueous PIC-Br monomer solution is also shown... Fig. 4 PIC dye nanoparticles prepared by the ion-association method. (1) Particle size distributions (determined by the dynamic light scattering technique) and the corresponding electron micrographs of the dye nanoparticles. The average diameter can be controlled by tuning the molar ratio of TPB- to PIC+ (=[TPB-]/[PIC+]. With an increase in the molar ratio, the average diameter decreased. (2) Absorption spectra of PIC nanoparticles in aqueous solution with different sizes (125 and 64 nm in diameter), exhibiting size-dependent peak shift of the 0-0 band. The spectrum of the aqueous PIC-Br monomer solution is also shown...
In a study of the precision of the SASS train for the collection of particulates and organics from gas streams, total particulate loadings determined with two independent SASS trains agreed within 20 percent of the value determined with a standard EPA Method 5 train operated simultaneously on triplicate runs. The size distributions determined by the two trains were also in good agreement for all three runs as illustrated in Figure 6. The quantity and distribution of extractable organics between the two systems was also well within Level 1 tolerances as shown in Table III. [Pg.42]

The sampling distribution determined in the previous section is an example of a deductive use of probability. Given that the probability of an occurrence of a one or two is known, we were able to deduce the probability of the outcomes that could arise if the die was tossed 10 times. In medical research, however we do not know what the true probability (response probability) is. Ours is the reverse problem, we observe a response rate, for example, 23 out of 80 patients respond positively to a given treatment, and want to infer what the true population response rate is. The requirement is to be able to make inductive probability statements. [Pg.276]


See other pages where Distribution determination is mentioned: [Pg.392]    [Pg.303]    [Pg.176]    [Pg.141]    [Pg.296]    [Pg.357]    [Pg.466]    [Pg.90]    [Pg.19]    [Pg.24]    [Pg.27]    [Pg.159]    [Pg.221]    [Pg.1066]    [Pg.314]    [Pg.139]    [Pg.285]    [Pg.314]    [Pg.39]    [Pg.390]    [Pg.125]    [Pg.237]    [Pg.351]    [Pg.77]    [Pg.270]    [Pg.230]    [Pg.202]   
See also in sourсe #XX -- [ Pg.92 , Pg.400 , Pg.401 ]




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Boltzmann distribution, solution potential-determining ions

Determination of Molecular-Weight Distribution by Fractionation

Determination of Population Distributions by LIF

Determination of Pore Size Distribution in Porous Media

Determination of distribution

Determination of molar masses and distributions

Determination of molecular weight distribution

Determination of particle size distribution by number

Determination of pore size distribution by gas adsorption

Differential molecular weight distribution determination

Distribution constant model determination

Distribution rate constant determination

Electron distribution, determination

Electron-Density Distributions Determined by X-Ray Diffraction Methods

Experimental Methods for Determining Mixing Quality and Residence Time Distribution

Experimental methods distribution, determination

Extraction equilibria determination Distribution

Ion distribution determination

Maximal entropy distribution determination

Molecular distribution experimental determination

Molecular mass, determination distribution

Molecular weight distribution, cellulosic fibers, determination

Molecular weight distributions determining

Molecular-weight distributions determination

Normal distributions, determination

Polymer molecular-weight distribution, determination

Pore size distribution determination General

Pore size distribution, determination

Porous solids pore size distribution, determination

Residence time distribution experimental determination

Skewed distributions, determination

Small-angle neutron scattering determining size distribution

Spin population distribution, determination

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