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Analysis of relationships between

Sometimes, this term is also used for analysis of relationships between the macroscopic diffusion coefficients... [Pg.701]

Multiple regression analysis of relationship between frontal lobe phosphorus metabolism and clinical symptoms in patients with schizophrenia. Psychiatry Res 76 113-122. [Pg.440]

Syntax and semantics analysis of relationships between words to recognize chemical names that include spaces... [Pg.28]

As an additional example of the practical utility of the 18-electron rule for the analysis of relationships between composition, structure and properties of uranyl compounds, let us discuss the problem of influence of tetrahedral cations of the X04 anions (X = Si, P, S) upon the structure of [1102X04] complexes. In particular, we look to the answers to the following questions. [Pg.60]

A quantitative analysis of relationship between the local structure and local energetics of PWCs is based on a special decomposition of stabilization energy within the framework of additive models of interaction. In this approximation, the stabilization energy of PWCs is equal to the sum of all pair interactions. We define the effective pair interaction in PWCs (effective energy of H-bond) as the following ... [Pg.307]

Abstract This chapter discusses the potential usefulness of ionic liquids with respect to biocatalysis by illustrating the stability and activity of enzymes in ionic liquids in the presence or absence of water. Ionic liquids are a class of coulombic fluids composed of organic cations like alkyl-substituted imidazolium, pyrrolidin-ium, and tetraalkylammonium ions and anions such as halides, tetrafluoroborates, hexafluorophosphates, tosylates, etc. The possibility of tunable solvent properties by alternation of cations and anions has made ionic liquids attractive to study biocatalysis which warrants an understanding of enzyme stability and activity in ionic liquids. This chapter systematically outlines the recent studies on the stability of enzymes and their reactivity toward a wide range of catalytic reactions. A careful approach has been taken toward analysis of relationship between stabil-ity/activity of enzymes versus chaotropic/kosmotropic nature of cations and anions of ionic liquids. [Pg.235]

Analysis of relationship between maintenance activities and the transformation system... [Pg.964]

Figure 1. Scattergram Analysis of Relationship Between (a) Antibacterial Activity (closed circles) or (b) Antifungal Activity (open circles) and Phytotoxicity in vitro. Figure 1. Scattergram Analysis of Relationship Between (a) Antibacterial Activity (closed circles) or (b) Antifungal Activity (open circles) and Phytotoxicity in vitro.
A first step in a data analysis process is the detection of relationships between variables. This can be achieved through correlation analysis. [Pg.444]

Moreover, molecular modeling is one key method of a wide range of computer-assisted methods to analyze and predict relationships between protein sequence, 3D-molecular structure, and biological function (sequence-structure-function relationships). In molecular pharmacology these methods focus predominantly on analysis of interactions between different proteins, and between ligands (hormones, drugs) and proteins as well gaining information at the amino acid and even to atomic level. [Pg.777]

Diamond [38] has shown that considerable amounts of lithium become bound during the hydration process. A study of the influence of hydration on the observable lithium content in cement paste samples was undertaken. In parallel, a traditional approach to lithium content in the pore solution was conducted (physical extraction of the pore solution and subsequent chemical analysis). The relationship between pore solution extraction and bulk MR is shown to be linear (see Figure 3.4.15). This result indicates that MR will be able to image lithium held in the pore solution but not lithium bound to the cement paste matrix. MR and pore solution extraction results also confirm that large amounts of lithium become bound during hydration. [Pg.301]

Varmuza, K. Analytical Sciences 17(suppl.), 2001, i467-i470. Recognition of relationships between mass spectral data and chemical structures by multivariate data analysis. [Pg.306]

Practical and ethical issues have impeded the analysis of biochemical influences on human behavior, and at present questions are more common than answers. However, in conjunction with more readily controlled animal studies, patterns of relationships between hormones and behavior have begun to emerge. [Pg.143]

As indicated in the previous discussion, Mossbauer spectroscopy provides information that when coupled with results using other structural techniques assists in determining the structure of the complex under analysis. The relationships between the various techniques are summarized in Table II. The Mossbauer chemical shift provides information about the 4 electron contribution to the bond between the metal and the ligands in a complex. Similar estimates can be obtained from the results of measurements on the fine structure in the x-ray absorption edge and nuclear magnetic resonance data. The number of unpaired electrons can be evaluated from magnetic susceptibility data, electron spin resonance, and the temperature coeflScient of the Mossbauer quadrupole splitting (Pr). [Pg.59]

In contrast, this analysis focuses on the evaluation of relationships between and among all quantitative variables simultaneously. [Pg.85]

Good et al. (15,30,140) have also considered these problems and extended Exner s approach in a reassessment of the validity of previously reported relationships between the energies and entropies of activation for the fluidity of certain aqueous solutions. These workers show, for the particular systems considered, that the relationship is nonlinear. Good et al. (30,140) emphasize the necessity, in the general statistical analysis, of distinguishing between two alternative objectives, which are... [Pg.268]

Thus, the problem of flow of a viscoelastic fluid between two flat parallel plates one of which is moving in a direction transverse to the main flow is reduced to a solution of simplified system (7) at boundary conditions (1). Analysis of relationships (7) for specific boundary conditions indicates that the problem is reduced to the case of a non-Newtonian viscous fluid. In other words, the velocity profile v(y) is determined only by viscous characteristics of the media and the effect of high-elasticity properties of the melt upon velocity (flow rate) characteristics of the flow can be neglected. [Pg.48]

The analysis described above makes it clear that there is some kind of relationship between the distant galaxies, and the idea of relative inertial mass - and the statement of the existence of such a relationship—is termed Mach s principle. [Pg.316]

The RMBC assessed its regional public-health priorities and developed the following nine demonstration projects on the basis of the needs of the community possible correlation of exposure to arsenic in drinking water and type 2 diabetes, a spot blood metals-analysis feasibility study, health-clinic samples for chemical-terrorism baselines, of relationship between urine arsenic and metal concentrations and drinking-water exposure, assessment of exposure to VOCs from subsurface volatilization, cotinine concentrations associated with environmental tobacco smoke, assessment of exposure to mercury from ingestion of fish, analysis of radionuclides in urine, and biomonitoring of organophosphorus pesticides in urine (Utah Department of Health 2006). [Pg.78]

For all of the above reasons, studies of relationships between mineral sites and mineral reactivity would be simplified, and the confidence in the findings increased, if statistically testable methods were to be used to identify key variables and to test hypotheses. Near infrared reflectance analysis (NIRA) is such a method. It was developed by Karl Norris in the 1960 s to quantitate the concentration of key constituents in multicomponent mixtures such as wheat (22). [Pg.408]

Texture is defined as the pattern of relationships between the gray levels of the defined image. The objective of texture morphology analysis is develop an analytical method whereby the image can be regenerated. [Pg.6]

Simple and multiple regression analysis provided relationships between organic and inorganic emissions and operating parameters. The most important of these were as follows ... [Pg.160]


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