Mutual dependence

TQM involves all the organizations, all the functions, the external suppliers, the external customers and involves the quality policy. Similarly, TQM cannot be achieved without good Quality Management Systems (QMS) which bring together all functions relevant to the product, providing policies, procedures and documentation. The elements of a quality organization consist of these three mutually dependent items (Field and Swift, 1996) ... 

The present study is conducted under consideration of thus mentioned difficulties. The solubility measurement is applied to the present investigation, selecting the pH range 6 v 12 in which the carbonate concentration can be maintained greater than 5xl0 6 M/l. The carbonate concentration and pH of experimental solutions, both being mutually dependent in a given solution, are taken into account as two variable parameters in the present experiment and hence the final evaluation of formation constants is based on three dimensional functions. For calculation purpose, the hydrolysis constants of Pu(IV) are taken from the literature (18). In order to differentiate the influence of hydrolysis reactions on the carbonate complexation so far as possible, the calculation is based on the solubilities from solutions of carbonate concentration > 10-1 M/l and pH > 8. 

We have previously examined the mutual dependence of [HO ] upon [NO,jj and [NMHC] as calculated by a combined clean/polluted air chemical mechanism (76), and extend those calculations here to the more modem CAL mechanism of Lurmann et al. (182). To do this we have combined the NO,/NMHC chemical reactions of the CAL mechanism with the methane chemistry of Logan et al. (58). The results of these calculations are shown as contour maps or isopleths for [O3], [HO ], and [HO2 ] in Figure 7. Figure 7a, for ozone, is similar to isopleths used to determine reductions in NMHC and/or... 

Fig. 9 Mutual dependence of neighboring internuclear distances in sulfur homocycles (after [77])...

Several doubts about the correctness of the usual statistical treatment were expressed already in the older literature (31), and later, attention was called to large experimental errors (142) in AH and AS and their mutual dependence (143-145). The possibility of an apparent correlation due only to experimental error also was recognized and discussed (1, 2, 4, 6, 115, 116, 119, 146). However, the full danger of an improper statistical treatment was shown only by this reviewer (147) and by Petersen (148). The first correct statistical treatment of a special case followed (149) and provoked a brisk discussion in which Malawski (150, 151), Leffler (152, 153), Palm (3, 154, 155) and others (156-161) took part. Recently, the necessary formulas for a statistical treatment in common cases have been derived (162-164). The heart of the problem lies not in experimental errors, but in the a priori dependence of the correlated quantities, AH and AS. It is to be stressed in advance that in most cases, the correct statistical treatment has not invalidated the existence of an approximate isokinetic relationship however, the slopes and especially the correlation coefficients reported previously are almost always wrong. 

In the expression for AHfso, the term -RT drops out. The values of ASjso are then obtained from AHjso and AG. The relationship of isokinetic and unconstrained activation parameters is shown in Figure 22 (see Table I). The computed values (57) of AH and AS are shown together with their estimated errors, which are mutually dependent. The points can thus only move along a... 

In case of correlated parameters, the corresponding covariances have to be considered. For example, correlated quantities occur in regression and calibration (for the difference between them see Chap. 6), where the coefficients of the linear model y = a + b x show a negative mutual dependence. 

Co-expression of the human a- and p-subunits in the yeast Pichea pastoralis produces only trace amounts of active tetramer, with the majority being present in an unassembled form. Co-expression with human type III collagens, however, increases this assembly level tenfold. This indicates that collagen synthesis and the formation of an active prolyl 4-hydroxylase complex are mutually dependent processes (Vuorela et al, 1997). A similar observation has been noted for baculovirus encoded enzymes in insect cells (Lamberg et al, 1996). These findings support the hypothesis that this unusual control mechanism may be a common feature of collagen synthesis in all cell types. 

Table 5.8 summarizes the NBO descriptors of the net charge transfer from Lewis base to Lewis acid (Qcf), change in covalent-bond polarization (A/Ah), and (P)NBO overlap of n0 with bond (Sna) and antibond (Sna>) orbitals of the Lewis acid. The entries in Table 5.8 show the unfavorable diminution of l/w /5nal and reduced charge transfer as the Lewis acid changes from polar HF to apo-lar CH4. These NBO descriptors can also be closely correlated with quantities in Table 5.7, showing their mutual dependence on the strength of n-a donor-acceptor interaction. 

Note that there are always some elements that are intrinsically mutually dependent even for their definitions. It is futile to try to break these cycles just put them into one package. 

A framework can abstract the description of a generic type, a family of mutually dependent types, a collaboration, a refinement pattern, the modeling constructs themselves, and even a bundle of fundamental generic properties (associative, commutative, and so on). Frameworks are themselves built on other frameworks. At the most basic level, the structure of frameworks represents the basis for the organization of all models. 

A third type of configurational interdependence exists if two elements are so interrelated that a change in the configuration of one automatically alters that of the other. This characterization applies to the two centers of 1,4-cyclohexanediol of the type Cg+g hi (5,51). Consequently only two isomers exist and a single pair of descriptors suffices for their distinction. We can remove the mutual dependence of the two elements by waiving the requirement that a line of stereoisomerism be occupied by bonds. The H and OH ligands have different distributions in the isomers about the line between C(l) and C(4), and the usual terms cis and trans express this relationship. Undoubtedly this is the most convenient description and the only one now available, but should we go further and say that the proper element of stereoisomerism in this case is this achiral line of torsion, and that its further factorization into two graphochiral centers is unwarranted ... 

The mutually dependent elements of 25 are a pherochiral double bond and a chiral center of steroisomerism. Instead, the isomerism could be viewed as the result of a conceptual torsion of the partially occupied line between C(2) and... 

Low expression levels and the lability of the HslVU complex make work with proteins from wild-type strains difficult. Gratifyingly, the active protease can be reconstituted in vitro from over-expressed and purified components (Rohrwild et al. 1996). It requires ATP for the degradation of folded substrates and ATP or some of its analogs for the purification of small chromogenic peptides. As expected, ATP-hydrolysis and proteolysis activities are mutually dependent (Seol et al. 1997). In addition, the peptidase activity was found to depend in complex ways on the presence of various cations, especially K in the buffers (Huang and Goldberg 1997). 

As discussed by Salje et al. (1985) and also evident from equations 5.178.1 and 5.178.2, the two order parameters Q iand Qo are not independent of each other (although the displacive order parameter is largely determined by X4 whereas the substitutional disorder depends more markedly on Xg). Their mutual dependence is outlined in figure 5.55. 

Figure 5.55 Mutual dependence of Q i and Q d order parameters. In the upper part of the figure is outlined the T dependence of substitutional disorder Qod for different values of Qdi and, in the lower part, the T dependence of the displacive disorder parameter Qdt for different values of The heavy lines on the surface of local curves represent the solution for thermal equilibrium. From E. Salje and B. Kuscholke, Thermodynamics of sodium feldspar II experimental results and numerical calculations. Physics and Chemistry of Minerals, 12, 99-107, figures 5-8, copyright 1985 by Springer Verlag. Reprinted with the permission of Springer-Verlag GmbH Co. KG.

The dependence of the Pi ligand parameter on the type of binding metal center is a limitation of the Pickett s model, but a similar difficulty is encountered for the Ei Lever parameter (see in the following) for which the need for corrections has been recognized for ligands such as CO and CNR. Such a type of limitation is inherent to any additive model that tries to separate the effects of ligands and metal centers on the redox potential, and add them as independent components, in contrast with the situation of the real molecule in which those effects are mutually dependent. 

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