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Symmetric distributions

The quadrupole is the next electric moment. A molecule has a non-zero electric quadrupole moment when there is a non-spherically symmetrical distribution of charge. A quadrupole can be considered to arise from four charges that sum to zero which are arranged so that they do not lead to a net dipole. Three such arrangements are shown in Figure 2.8. Whereas the dipole moment has components in the x, y and z directions, the quadrupole has nine components from all pairwise combinations of x and y and is represented by a 3 x 3 matrix as follows ... [Pg.96]

Ion Channels. The excitable cell maintains an asymmetric distribution across both the plasma membrane, defining the extracellular and intracellular environments, as well as the intracellular membranes which define the cellular organelles. This maintained a symmetric distribution of ions serves two principal objectives. It contributes to the generation and maintenance of a potential gradient and the subsequent generation of electrical currents following appropriate stimulation. Moreover, it permits the ions themselves to serve as cellular messengers to link membrane excitation and cellular... [Pg.279]

For symmetrical distributions, such as the logistic or normal, the skewness should be zero. [Pg.827]

One important class of integral equation theories is based on the reference interaction site model (RISM) proposed by Chandler [77]. These RISM theories have been used to smdy the confonnation of small peptides in liquid water [78-80]. However, the approach is not appropriate for large molecular solutes such as proteins and nucleic acids. Because RISM is based on a reduction to site-site, solute-solvent radially symmetrical distribution functions, there is a loss of infonnation about the tliree-dimensional spatial organization of the solvent density around a macromolecular solute of irregular shape. To circumvent this limitation, extensions of RISM-like theories for tliree-dimensional space (3d-RISM) have been proposed [81,82],... [Pg.144]

Skew distribution Any set of values measured during a test that is not symmetrically distributed. [Pg.1476]

The symmetric stress-intensity factor k, is associated ith the opening mode of crack extension in Figure 6-10. The skew/-symmetric stress-intensity factor l<2 is associated ith the fonward-shear mode. These plane-stress-intensity factors must be supplemented by another stress-intensity factor to describe the parallel-shear mode. The stress-intensity factors depend on the applied loads, body geometry, and crack geometry. For plane loads, the stress distribution around the crack tip can always be separated into symmetric and skew-symmetric distributions. [Pg.342]

Normal distribution The normal distribution is the best known symmetric distribution, and two parameters completely describe the distribution. It often describes dimensions of parts made by automatic processes, natural and physical phenomena, and equipment that has increasing failure rates with time. [Pg.230]

A completely symmetrical distribution will have a skew = 0, and in a non-symmetric distribution the sign of the skew will depend upon the location of the tail of the distribution. [Pg.93]

Resonance is an extremely useful concept that we ll return to on numerous occasions throughout the rest of this book. We ll see in Chapter 15, for instance, that the six carbon-carbon bonds in so-called aromatic compounds, such as benzene, are equivalent and that benzene is best represented as a hybrid of two resonance forms. Although an individual resonance form seems to imply that benzene has alternating single and double bonds, neither form is correct by itself. The true benzene structure is a hybrid of the two individual forms, and all six carbon-carbon bonds are equivalent. This symmetrical distribution of electrons around the molecule is evident in an electrostatic potential map. [Pg.44]

A plot ofr vs should yield a straight line with intercepts or-rBA/a and rAB at =0 and = 1 respectively. A value of a corresponding to the highest and lowest values of (V y)l 5 used in the experiments results in a symmetrical distribution of experimental data on the plot. Greenley18,i i,1 has re-evaluated much data using the Kelen-Tiidos method and has provided a compilation of these and other results in the Polymer 1 landbook.18... [Pg.360]

Figure 2.39c-f show the annular flow, where the liquid film on the wall is symmetrically distributed. [Pg.56]

The curvature sensor first proposed by Roddier (Roddier, 1988), does not make measurements at the focal plane. Instead measurements are taken at two planes symmetrically distributed around the focal plane as shown in Fig. 10. These measurements are best thought of as blurred images of the aperture and consequently our ability to measure the tilt is affected since as we move from the focal plane the hght is spread over a wider angle. Consequently we would expect the tilt signal to degrade as we move away from the aperture. This can be formalized by the CRLB and Fig. 11 shows the best attainable tilt performance (Marcos, 2002). [Pg.393]

When a symmetrical distribution of products is found, this is evidence for a free-radical mechanism the solvent cage is not efficient and breaks down. [Pg.649]

The system could be energy conservative if the atoms moved smoothly over the potential field. In that case, an atom, when traveling over one period of the potential, would experience a symmetrically distributed lateral force so that its time average and the net work done by the force would be zero. In reality, however, this is not going to happen that way. The author will demonstrate in the following how the system becomes unstable which inevitably leads to energy dissipation and friction. [Pg.173]

Perioral dermatitis is characterized by erythema, scaling and small papules and pustules symmetrically distributed around the mouth, sometimes extending to the nasolabial folds and the cheeks. This condition typically occurs in females 20-40 years of age. Topical corticosteroids can exacerbate the disease and should be avoided. [Pg.121]

The theory of Debye and Hiickel started from the assumption that strong electrolytes are completely dissociated into ions, which results, however, in electrical interactions between the ions in such a manner that a given ion is surrounded by a spherically symmetrical distribution of other ions mainly of opposite charges, the ionic atmosphere. The nearer to the central ions the higher will be the potential U and the charge density the limit of approach to the central ion is its radius r = a. [Pg.52]

The Lewis dot formalism shows any halogen in a molecule surrounded by three electron lone pairs. An unfortunate consequence of this perspective is that it is natural to assume that these electrons are equivalent and symmetrically distributed (i.e., that the iodine is sp3 hybridized). Even simple quantum mechanical calculations, however, show that this is not the case [148]. Consider the diiodine molecule in the gas phase (Fig. 3). There is a region directly opposite the I-I sigma bond where the nucleus is poorly shielded by the atoms electron cloud. Allen described this as polar flattening , where the effective atomic radius is shorter at this point than it is perpendicular to the I-I bond [149]. Politzer and coworkers simply call it a sigma hole [150,151]. This area of positive electrostatic potential also coincides with the LUMO of the molecule (Fig. 4). [Pg.100]

The p-value for the sign test or Wilcoxon signed rank test can be found in the pValue variable in the pvalue data set. If the variable is from a symmetric distribution, you can get the p-value from the Wilcoxon signed rank test, where the Test variable in the pvalue data set is Signed Rank. If the variable is from a skewed distribution, you can get the p-value from the sign test, where the Test variable in the pvalue data set is Sign. ... [Pg.256]

We have often found that students have a touching but misplaced faith in Mr. Pascal and his triangle and this can lead to no end of angst and confusion It is very important to note that you will only come across this symmetrical distribution of intensities within a multiplet when the signals coupling... [Pg.10]

A) Check to see if the spectrum is symmetric in line positions and relative intensities. If it is not, then most likely there are two or more radical species. Variation of line widths with / , may, in principle, cause the spectrum to appear unsymmetric, but in such a case line positions would still be at least approximately symmetrically distributed about the center. [Pg.33]

Thirdly, when we separated equation 43-51 into two terms, we only worked with the first term. The second term, which we presented in equation 43-52B, was neglected. Is it possible that the nonlinear effects observed for equation 43-52A will also operate on equation 43-52B The answer is yes, it will, but... And the but..is this AEs is a random variable, just as AEr is. Furthermore, it is uncorrelated with AEx. Therefore, in order to evaluate the integral representing the variation of both AEs and AEr, it would be necessary to perform a double integration over both variables. Now, for each value of AEs, the nonlinearity caused by the presence of AEr in the denominator would apply. However, AEs is symmetrically distributed around zero, therefore for every positive value of AEs there is an equal but negative value that is subject to exactly the same nonlinear effect. The net result is that these pairs always form equal and opposite contributions to the integral, which therefore cancel, leaving no effect due to AEs. [Pg.252]

Since, as we shall see, we do not need to deal with the general case, we can use a simpler method to orthogonalize the variables, based on Daniel and Wood, who showed how a variable can be transformed so that the square of that variable is uncorrelated with the variable. This is a matter of creating a new variable by simply calculating a quantity Z and subtracting that from each of the original values of X. A symmetric distribution of the data is not required since that is taken into account in the formula. Z is calculated using the expression (see p. 121 in [9]). In Appendix A, we present the derivation of this formula ... [Pg.444]


See other pages where Symmetric distributions is mentioned: [Pg.380]    [Pg.2150]    [Pg.209]    [Pg.252]    [Pg.441]    [Pg.137]    [Pg.140]    [Pg.47]    [Pg.40]    [Pg.182]    [Pg.183]    [Pg.182]    [Pg.287]    [Pg.465]    [Pg.303]    [Pg.206]    [Pg.962]    [Pg.28]    [Pg.39]    [Pg.619]    [Pg.165]    [Pg.28]    [Pg.116]    [Pg.135]    [Pg.53]    [Pg.220]    [Pg.245]    [Pg.444]   
See also in sourсe #XX -- [ Pg.51 ]




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