Prediction factors affecting

Because J arises from the magnetic interactions of nuclei, the simplest factor affecting it is the product yjY of the two nuclear magnetogyric ratios involved. For example, in FI F is 82 FIz, i.e. x yo/yf - This totally predictable factor is sometimes discounted by quoting the reduced coupling constant =... 

By way of example, tert-huty peroxyacetate [107-71-1] is more thermally stable than 3-hydroxy-1,1-dimethylbutyl peroxyneoheptanoate [110972-57-1]. Although other factors affect thermal stabiUty, the trends shown can be used to quaUtatively predict peroxyester reactivity trends. The order of activity of the R group ia peroxyesters is also observed ia other / fZ-aLkylperoxy-containing compounds. 

Other Factors Affecting the Viscosity of Dispersions. Factors other than concentration affect the viscosity of dispersions. A dispersion of nonspherical particles tends to be more viscous than predicted if the Brownian motion is great enough to maintain a random orientation of the particles. However, at low temperatures or high solvent viscosities, the Brownian motion is small and the particle alignment in flow (streamlining) results in unexpectedly lower viscosities. This is a form of shear thinning. 

To predict the comfort of a material, a combination of hand evaluation, eg, using the Kawabata system, as well as deterrnination of the heat and moisture transport properties, is necessary. Often, these values are correlated with a sensory evaluation of the tactile qualities of the material by a human subject panel. A thorough discussion of the many physical and psychological factors affecting comfort is available (134,135). 

The heat-transfer performance capacity of cylinder diyers is not easy to estimate without a knowledge of the sheet tenmerature, which, in turn, is difficult to predict. According to published data, steam temperature is the largest single factor affecting capacity. Overall evaporation rates based on the total surface area of the diyers cover a range of 3.4 to 23 kg water/(h m ) [0.7 to 4.8 lb water/(h fF)]. 

Adsorption — An important physico-chemical phenomenon used in treatment of hazardous wastes or in predicting the behavior of hazardous materials in natural systems is adsorption. Adsorption is the concentration or accumulation of substances at a surface or interface between media. Hazardous materials are often removed from water or air by adsorption onto activated carbon. Adsorption of organic hazardous materials onto soils or sediments is an important factor affecting their mobility in the environment. Adsorption may be predicted by use of a number of equations most commonly relating the concentration of a chemical at the surface or interface to the concentration in air or in solution, at equilibrium. These equations may be solved graphically using laboratory data to plot "isotherms." The most common application of adsorption is for the removal of organic compounds from water by activated carbon. 

Barrier polymers, 3 375-405 applications, 3 405 barrier structures, 3 394-399 carbon dioxide transport, 3 403 flavor and aroma transport, 3 403-405 health and safety factors, 3 405 immiscible blends, 3 396-398 large molecule permeation, 3 388-390 layered structures, 3 394-396 miscible blends, 3 398-399 oxygen transport, 3 402 permanent gas permeation, 3 380-383 permeability prediction, 3 399-401 permeation process, 3 376-380 physical factors affecting permeability, 3 390-393... 

K. Bourke and H. Davies, Factors affecting service life predictions of buildings a discussion paper, BRE Laboratory Report BR 320, Building Research Laboratory, Watford, UK, 1997. 

It is often difficult to predict the fate of a pollutant in an interfacial microenvironment because the interactions between the microbial, chemical, and physical components of the environment are still not well understood. The total microbial activity at aqueous-solid phase interfaces depends on a variety of factors, such as numbers of microbes, available nutrients, environmental conditions, and pollutant chemical structure. The impact of some of the most important factors affecting microbial activity, with the implicit understanding that microbial activity can be inhibited by any one of these factors, will be discussed in the present sections. 

At multivariate analysis, lack of p53 overexpression was the only independent predictive factor for pathological response. Nevertheless, because the majority of patients who overexpressed p53 failed to achieve a pathological response, it became important to investigate agents less likely to be affected by tumorp55 status. Taxanes became the next drugs to combine in a concurrent use with radiation. 

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