Variables combination

Flow processes iaside the spinneret are governed by shear viscosity and shear rate. PET is a non-Newtonian elastic fluid. Spinning filament tension and molecular orientation depend on polymer temperature and viscosity, spinneret capillary diameter and length, spin speed, rate of filament cooling, inertia, and air drag (69,70). These variables combine to attenuate the fiber and orient and sometimes crystallize the molecular chains (71). 

Leigh s syndrome (subacute necrotizing encephalomyelopathy) is characterized by a variable combination of clinical abnormalities including cerebellar ataxia, developmental delay, mental regression, deafness, optic atrophy, hypotonia, and... 

FGIDs present with variable combinations of chronic or recurring GI symptoms not explained by overt biochemical or structural abnormalities and encompass conditions like functional dyspepsia (FD), irritable bowel syndrome (IBS) and chronic idiopathic constipation [1], A variety of mechanisms that could explain the etiology of FGIDs are currently under investigation and include, but are not limited to altered GI motility, visceral hypersensitivity and post-infectious abnormalities [2],... 

In water atomization, a number of operation variables are to be considered in order to properly control the process. The variables include geometry parameters, process parameters, and thermophysical properties of metal/alloy and water. Each design and configuration of an atomization unit are unique and thus only some specific operation conditions may be employed. Many of the variables are interrelated. Therefore, there may exist more than one set of optimum variable combinations for a given atomization unit. 

A nonparametric approach can involve the use of synoptic data sets. In a synoptic data set, each unit is represented by a vector of measurements instead of a single measurement. For example, for synoptic data useful for pesticide fate, assessment could take the form of multiple physical-chemical measurements recorded for each of a sample of water bodies. The multivariate empirical distribution assigns equal probability (1/n) to each of n measurement vectors. Bootstrap evaluation of statistical error can involve sampling sets of n measurement vectors (with replacement). Dependencies are accounted for in such an approach because the variable combinations allowed are precisely those observed in the data, and correlations (or other dependency measures) are fixed equal to sample values. 

Central and/or peripheral nervous system involvement is one of the most frequent features, often resulting in the neonatal period in drowsiness, poor sucking, severe hypotonia, abnormal movements, seizures, respiratory distress, and fatal keto-acidotic coma with lactic acidosis [3]. To these severe conditions echo late-onset diseases now frequently attributed to or associated with mitochondrial OXPHOS defects, such as Alzheimer s or Parkinsons disease [10]. Major neurological symptoms, in variable combinations, involve trunk hypotonia, cranial nerve and brainstem involvement (with abnormal eye movements, ophthalmoplegia, recurrent apneas), cerebellar ataxia, myoclonia, seizures, pyramidal syndrome, peripheral neuropathy, poliodystrophy, and leukodystrophy infections [27,28]. A diffuse impairment of the cerebral white matter (leukodystrophy) mostly results in motor disturbance with mental retardation and low incidence of seizures. 

Na and Ca to play equivalent roles in zeolites, as well as K, and if we consider A1 and Si as the major variables combined with K and Na in the phyllosilicates, we can adequately represent the phases in a (Ca-Na)-K-Al-Si system where H O is in excess in the fluid phase. If the system has four chemical variables and the natural assemblages are frequently found to contain four authigenic minerals, we must assume that most chemical variables are inert or extensive variables of the chemical system which controlled the crystallization of the zeolite-clay mineral containing sediments. ... 

In some instances, the number of variables, and hence, the number of subsequent choices are reduced by equipment or user-specified constraints. For example, much of the commercial and home-made equipment is designed to accommodate only pure supercritical fluids or those with a fixed amount of modifier. That is, with some instrumentation the variables of modifier composition and modifier gradient are not convenient to consider. Under such instrument-limited circumstances, those combinations in Table IV that contain either of these variables (X or AX) could simply be ignored, at least on a practical level. Such a constraint would reduce the fifteen 4-variable combinations of Table IV to only one that we will discuss shortly P, T, AP, and AT. 

A variety of techniques (Fig. 1), which use a variable combination of antibody steps, enzyme labels, and chromogens, are employed in immunohistochemistry. The most common immunohistochemical methods are the PAP (peroxidase-antiperoxidase), ABC (avidin-biotin) peroxidase or alkaline phosphatase, and the APAAP (alkaline phosphatase-anti-alkaline phosophatase) techniques however,... 

Dimensionless numbers are very simple to calculate, although proper interpretation is dependent on the choice of variables such as which length to use for the characteristic length. The magnitudes of the dimensionless numbers are predictors of physical behavior. In addition, the functional relationships written in terms of the appropriate dimensionless numbers are extremely powerful because they will be valid for that geometry and boundary conditions for a wide range of variable combinations. In chemoreception there are six dimensionless numbers that are particularly important (Re, Pe, Sh, Fo, Sc, and Wo). 

Apart from the fact that a linear calibration can be performed, bracketing offers excellent precision and accuracy. With the determination of serum cholesterol as an example, Cohen et al. (1980) showed that the replication error on five different serum pools was characterized by a CV of 0.17% with a set-to-set variability of 0.32%. For each serum average, a standard error (considering all causes of variability combined) of 0.16% CV was obtained. The undetected systematic error (bias) in this study was estimated to be smaller than 0.5%, while White et al. (1982), using two different IDMS methods, found serum glucose concentrations to agree within 1%. 

A2.3.7 Variance propagation with uncertainty and variability combined... 

In summary, textural parameters that are essential for the catalysts performance were prepared from variable combinations of CTAB/NH4OH/ H20 in the presence of co-surfactants, i.e. acetone and the light alcohols (MeOH, EtOH, PrOH). The resuts indicate that the porous structure of the materials thus obtained are maintained along the distinct TEOS and CTAB concentration ratios, even with the influence of diverse co-surfactants. Then, the textural properties of the mesoporosus MSS, measured by N2 adsorption, indicate a reproducibility of the textural properties, i.e. pore volume, mean pore size distribution and total surface area (Figure 15.8). 

Before starting the calculating of the formulas, we shall introduce several new variables, combinations of other quantities which prove to be useful for one reason or another. As a matter of fact, we shall work with quite a number of variables, some of which can be taken to be independent, others dependent, and it is necessary to recognize at the outset the nature of the relations between them. In the next section we consider the equation of state, the empirical relation connecting certain thermodynamic variables. 

Multiple interacting variables combine to create complexity and uncertainty to mass gathering health care planning. Advance preparation of our national nursing... 

Lalli C, Ciofetta M, Del Sindaco P, Torlone E, Pampanelli S, Compagnucci P, Cartechmi MG, Bartocci L, Brunetti P, Bolli GB. Long-term intensive treatment of type 1 diabetes with the short-acting insulin analogue hspro in variable combination with NPH insulin at mealtime. Diabetes Care 1999 22(3) 468-77. 

The phenytoin hypersensitivity syndrome ranges from a simple rash to a fulminant fatal illness with exfoliative dermatitis, vasculitis, and disseminated intravascular coagulation. Features include variable combinations of fever, eosinophilia, lymphadenopathy, hepatosplenome-galy, atypical lymphocytes, blood dyscrasias, serum sickness, hepatitis, and renal insufficiency. 

Once identified all possible combination of the variables could of course be tested, however, this is typically prohibitively resource intensive to be practical. DoE is a class of statistically ba.sed methods to select combinations of variables that may be tested to yield the same information using a reduced number of experiments. DoE is often used in a totally empirical manner however, the knowledge of potentially critical variables can greatly simplify the process. DoEs may take the form of simple experiments which bracket the extremes of variable combinations, the so called extreme vertices method, or may be more intricate. Commonly, a partial matrix type screening DoE will be executed to zero in on the ranges in variables that show the maximum impact and/or that most closely bracket the desired responses from the process. This is followed by a more focused matrix DoE to determine optimum ranges of operations. 

In the DARC/PELCO Structural method an internal variable pertaining to the ordered generation of an exhaustive topology is used. We show to what extent this variable combines some qualities of other structural variables, avoids some of their drawbacks and permits an approach to prediction reliability ... 

From Table 12, the absorbance at X.12 exhibits the highest correlation with tryptophan concentration and this is the first variable added to the equation, Equation (43). To choose the second variable, we could select ylis as this has the second highest absolute correlation with 7> but this may not be the best choice. Some other variable combined with A12 may give a higher multiple correlation than Ais and A12. 

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