Suitability parameters

For vibrating screens, the suitable parameter A is the screen deck area multiphed by the length in m. Cost includes dtive- and feed-boxes, and excludes motor, starter, and screen cloth. For spinal classifiers, the suitable parameter A for costing is the spinal diameter, in cm. Cost includes the motor. For hydtocyclones, the suitable parameter A for costing is the cyclone diameter, in cm. Cost includes fittings and combination urethane-ceramic liners. The appropriate values of X and the coefficients ate given in Table 4. 

Design by experiment - a technique where product characteristics are established by conducting experiments on samples or by mathematical modeling to simulate the effects of certain characteristics and hence determine suitable parameters and limits. 

In order to apply the crack nucleation approach, the mechanical state of the material must be quantified at each point by a suitable parameter. Traditional parameters have included, for example, the maximum principal stress or strain, or the strain energy density. Maximum principal strain and stress reflect that cracks in rubber often initiate on a plane normal to the loading direction. Strain energy density has sometimes been applied as a parameter for crack nucleation due to its connection to fracture mechanics for the case of edge-cracked strips under simple tension loading. ... 

In general, there is a positive correlation between hydrophobicity of solvents and nontoxicity for biocatalysts. The log P value was demonstrated to be a suitable parameter for characterization of solvent hydrophobicity (Table 1). Log P is the logarithm of the partition coefficient of a solvent in a water-l-octanol two-phase system [11,12,41,77]. Solvents with log P > A are very hydrophobic and generally nontoxic for biocatalysts. 

In each context, it is essential to define suitable parameters of the exposure scenario for a realistic risk assessment ... 

Chau DN (2009) Investigation the suitable parameters for refuse derived fuel production in Vietnam. Master Thesis, Hanoi University of Science, Hanoi... 

Once suitable parameters are available the values of g can be correlated with them by means of either simple linear regression analysis if the model requires only a single variable, or multiple linear regression analysis if it requires two or more variables. Such a correlation results in a SPQR. In this work we consider only those parameters that are defined directly or indirectly from suitable reference sets or, in the case of steric parameters, calculated from molecular geometries. 

However, note that the multiplicative watermarking scheme is not so effective in case of image watermarking. Thus, they have combined the additive and multiplicative schemes with suitable parameters such as... 

The dispersibility of a pigment in a particular vehicle system is also reflected by the viscosity of the pigmented medium and by the gloss that it produces in application. Viscosity and gloss are frequently considered more suitable parameters to indicate the state of dispersion of a pigment in an application medium than the tinctorial strength, which reaches its optimum at a point at which other parameters, such as gloss, can be improved. 

Most important, however, was the discovery by Simha et al. [152, 153], de Gennes [4] and des Cloizeaux [154] that the overlap concentration is a suitable parameter for the formulation of universal laws by which semi-dilute solutions can be described. Semi-dilute solutions have already many similarities to polymers in the melt. Their understanding has to be considered as the first essential step for an interpretation of materials properties in terms of molecular parameters. Here now the necessity of the dilute solution properties becomes evident. These molecular solution parameters are not universal, but they allow a definition of the overlap concentration, and with this a universal picture of behavior can be designed. This approach was very successful in the field of linear macromolecules. The following outline will demonstrate the utility of this approach also for branched polymers in the semi-dilute regime. 

Moreover, the curves of 2.0 and 5.0 phr TAC, have a more hnear relationship compared with those crosslinked with DCP alone or in the presence of 0.5 phr TAC. This strongly suggested that at higher TAC concentrations, a more rigid network was present which restricted the ability of samples to swell. The results also give further evidence that gel content is not really a suitable parameter to evaluate solid properties when using TAC in the crosslinking system. 

PQ is the demonstration that the entire system functions as one unit. PQ is also the demonstration that the system works as you intend to use it. This is done by running an assay and ensuring all system suitability parameters are met. If a number of different methods are going to be run on the system, then the worst-case method should be selected. It is not necessary to run every method on the system, but tbis can be done. 

In the System Suitability section, different parameters are described which can be applied in order to check the behavior of the CE system. The choice of the appropriate parameters depends on the mode of CE used. The system suitability parameters include retention factor (k) (only for MEKC), apparent number of theoretical plates (N), symmetry factor (Af), resolution (Rs)> Rtea repeatability, migration time repeatability, and signal-to-noise ratio. Practical equations to calculate different system suitability parameters from the electropherograms are presented, which are also included in Table 3. 

The evaluation of robustness should be considered in the development of the assay and will depend on the type of procedure under development. It must show the reliability of a method with respect to deliberate variations in method parameters. If measurements are susceptible to variations in analytical conditions, the analytical conditions should be suitably controlled or a precautionary statement might be included in the procedure. One consequence of the evaluation of robustness may be that a series of system suitability parameters is established to ensure that the validity of the analytical procedure is maintained whenever used. Typical parameters to be tested would be the following sample concentration, sample stability, labeling variability (if applicable), injection variability, reagent lot-to-lot variability, and capillary vendor. 

The system suitability tests are performed to verify that the analytical system meets predefined acceptance criteria at the time of performance. System suitability parameters should be established based on the type of method being considered and before the validation of the method actually starts. A common method of system suitability will request bracketing reference injections, with measurable quantitative acceptance criteria, such a migration time and/or a range on the main peak area. The peak of interest can be the major peak but it can also be a secondary peak, which may give more control over the sample preparation (e.g., the HMW peaks in non-reduced CE-SDS or incomplete reduced in the case of reduced CE-SDS LIE). 

The interindividual variability reflects differences in the extent of exposure, in toxicokinetics as well as in toxicodynamics. The variability due to factors which influence the extent of exposure (physiological differences in the intake, e.g., inhalation rates) can be considered by means of suitable parameters for the internal exposure (absorbed dose, area under the curve AUC, plasma concentration) if sufficient information is available. With respect to toxicokinetic factors, interindi-vidual differences in the metabolism of chemicals are generally considered as the most significant explanatory factor. Hardly any knowledge is available with respect to the factors that influence toxicodynamics. In the following, a brief overview of the factors playing a role for the toxicokinetic and toxicodynamic differences is presented. 

When suitable parameters are available, the values of Q can be correlated with them... 

The chapter is divided into three sections the first part is concerned with the derivation of 3D-LogP descriptor and the selection of suitable parameters for the computation of the MLP values. This study was performed on a set of rigid molecules in order, at least initially, to avoid the issue of conformation-dependence. In the second part, both the information content and conformational sensitivity of the 3D-LogP description was established using a set of flexible acetylated amino acids and dipeptides. This initial work was carried out using log P as the property to be estimated/predicted. However, it should be made clear that, while the 3D-LogP descriptor can be used for the prediction of log P, this was not the primary intention behind its the development. Rather, as previously indicated, the rationale for this work was the development of a conformationally sensitive but alignment-free lipophilicity descriptor for use in QSAR model development. The use of log P as the property to be estimated/predicted enables one to establish the extent of information loss, if any, in the process used to transform the results of MLP calculations into a descriptor suitable for use in QSAR analyses. 

Computerised data handling systems will generate reports including a number of system suitability parameters. Figure 10.11 shows a chromatogram with a report form appended. In order for the report to be generated, the computer has to be given... 

Other results obtained from the ruggedness test are the definition of optimized method conditions for the factors and of system suitability criteria for a number of responses. System suitability parameters [6,17] are defined as an interval in which a response can vary for a rugged method. The system suitability criteria are the range of values between which a response (e.g. retention time, capacity factor, number of theoretical plates, resolution) can vary without affecting the quantitative results of the analysis. For instance, a design is performed and the retention time of the main substance varies between 200 s and 320 s without affecting the quantitative determination of the substances. The system suitability criteria for the retention time is then defined as the interval 200 s - 320 s. 

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