Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Difference sample

To describe the X-ray imaging system the projection of 3D object points onto the 2D image plane, and nonlinear distortions inherent in the image detector system have to, be modelled. A parametric camera model based on a simple pinhole model to describe the projection in combination with a polynomal model of the nonlinear distortions is used to describe the X-ray imaging system. The parameters of the model are estimated using a two step approach. First the distortion parameters for fixed source and detector positions are calculated without any knowledge of the projection parameters. In a second step, the projection parameters are calculated for each image taken with the same source and detector positions but with different sample positions. [Pg.485]

Figure C2.5.2. Scaling of the number of MBS C(MES) (squares) is shown for the hydrophobic parameter = -0.1 and A = 0.6. Data were obtained for the cubic lattice. The pairs of squares for each represent the quenched averages for different samples of 30 sequences. The number of compact stmctures C(CS) and self-avoiding confonnations C(SAW) are also displayed to underscore the dramatic difference of scaling behaviour of C(MES) and C(CS) (or C(SAW)). It is clear that C(MES) remains practically flat, i.e. it grows no faster than In N. Figure C2.5.2. Scaling of the number of MBS C(MES) (squares) is shown for the hydrophobic parameter = -0.1 and A = 0.6. Data were obtained for the cubic lattice. The pairs of squares for each represent the quenched averages for different samples of 30 sequences. The number of compact stmctures C(CS) and self-avoiding confonnations C(SAW) are also displayed to underscore the dramatic difference of scaling behaviour of C(MES) and C(CS) (or C(SAW)). It is clear that C(MES) remains practically flat, i.e. it grows no faster than In N.
Figure C2.17.9. Size-dependent changes in PXRD linewidtlis. PXRD can be used to evaluate tire average size of a sample. In tliese cases, different samples of nanocrystalline titania were analysed for tlieir grain size using tire Debye-Scherr fonnula. As tire domain size increases, tire widtlis of tire diffraction peaks decrease. Figure C2.17.9. Size-dependent changes in PXRD linewidtlis. PXRD can be used to evaluate tire average size of a sample. In tliese cases, different samples of nanocrystalline titania were analysed for tlieir grain size using tire Debye-Scherr fonnula. As tire domain size increases, tire widtlis of tire diffraction peaks decrease.
Figure C2.17.10. Optical absorjDtion spectra of nanocrystalline CdSe. The spectra of several different samples in the visible and near-UV are measured at low temperature, to minimize the effects of line broadening from lattice vibrations. In these samples, grown as described in [84], the lowest exciton state shifts dramatically to higher energy with decreasing particle size. Higher-lying exciton states are also visible in several of these spectra. For reference, the band gap of bulk CdSe is 1.85 eV. Figure C2.17.10. Optical absorjDtion spectra of nanocrystalline CdSe. The spectra of several different samples in the visible and near-UV are measured at low temperature, to minimize the effects of line broadening from lattice vibrations. In these samples, grown as described in [84], the lowest exciton state shifts dramatically to higher energy with decreasing particle size. Higher-lying exciton states are also visible in several of these spectra. For reference, the band gap of bulk CdSe is 1.85 eV.
The standardized variable (the z statistic) requires only the probability level to be specified. It measures the deviation from the population mean in units of standard deviation. Y is 0.399 for the most probable value, /x. In the absence of any other information, the normal distribution is assumed to apply whenever repetitive measurements are made on a sample, or a similar measurement is made on different samples. [Pg.194]

Well as various samples of nonporous but amorphous silica. They found that the points fitted on to a common curve very closely, which may be plotted from Table 2.14. A corresponding curve, though based on fewer samples, was put forward for y-alumina. The two curves are close to one another, but the divergence between them is greater than that between different samples of the same substance. Standard isotherm data for argon (at 77 K) on silica have been obtained by various workers. ... [Pg.92]

Supercritical CO2 is used to extract fat from candy bars. Samples are placed in an extraction vessel and its weight determined before and after extraction. The %w/w fat content is determined by difference. The volume of CO2 needed to effect a complete extraction is determined experimentally. Variations in results for different samples illustrate the importance of sampling. [Pg.226]

Different samples exhibit different levels of response to FAB, and, with a mixture of components, it is feasible that not all will be detected. In some cases, the minor components of a sample appear more prominently in the mass spectrum than the major ones. Despite these limitations, FAB is in widespread use and is an excellent technique for determining the molecular masses of peptides up to 10,000 Daltons, with an accuracy of 0.5 Da. [Pg.287]

The following are approximate (in dyne cm ) versus y datat for three different samples of polyisoprene in tetradecane solutions of approximately the same concentration ... [Pg.127]

Working with different samples of the same polymer, other researchers have published conflicting values for the refractive index gradient in these solvents ... [Pg.717]

Single-point cahbrations and 2ero deterrninations are performed whenever instmments are shut down and/or relocated to a different sampling location. Should the recahbration vary by more than 10% of the value obtained during the initial cahbration, the analy2er is recahbrated until stable cahbration data are obtained. [Pg.90]

Protein Components. The simplest picture of the proteinaceous components is one of polypeptides, which are composed of a-amino acid residues. It is estimated that wool contains about 170 different types of polypeptides varying in molecular mass from below 10,000 to greater than 50,000 (34). Complete acid hydrolysis of wool yields 18 amino acids, the relative amounts of which vary considerably from one wool to another. Typical figures for two different samples of wool are given in Table 7. [Pg.342]

The ordered set of measurements made on each sample is called a data vector. The group of data vectors, identically ordered, for all of the samples is called the data matrix. If the data matrix is arranged such that successive rows of the matrix correspond to the different samples, then the columns correspond to the variables as in Figure 1. Each variable, or aspect of the sample that is measured, defines an axis in space the samples thus possess a data stmcture when plotted as points in that / -dimensional vector space, where n is the number of variables. [Pg.417]

It is shown that metrological characteristics of the suggested methods are commensurable. Dissolved gas is pushed away by front of crystallization, takes the air and does not influence on the obtained results during the analysis of the water. Process is carried out at the lower temperature (-15°C), expelling chemical transformations of ingredients. The procedure was tested on different samples of natural and drinking water of the Kharkov region. [Pg.194]

Application of rotating coiled columns has become attractive for preparative-scale separations of various substances from different samples (natural products, food and environmental samples) due to advantages over traditional liquid-liquid extraction methods and other chromatographic techniques. The studies mainly made during the last fifteen years have shown that using rotating coiled columns is also promising for analytical chemistry, particularly for the extraction, separation and pre-concentration of substances to be determined (analytes) before their on-line or off-line analysis by different determination techniques. [Pg.247]

Analysis of soils is an important task in the environmental researches. Reliability of ICP-MS results of soil analysis mainly depends on chemical sampling. Recently microwave systems are widely used for preparation of different samples. Influence of microwave radiation on sample ensures a complete decomposition of sample, greatly increases the mineralization, and allows possible losses of volatile elements to be minimized. In the given study to intensify decomposition of soils we applied the microwave sample preparation system MULTIWAVE (Anton Paar, Austria and Perkin-Elmer, USA) equipped with rotor from 6 autoclaves with TEM reaction chambers of 50 ml volume. [Pg.287]

Time in Service 1 year and 12 years (two different samples)... [Pg.308]

Ten different samples with the same composition, held at the same T and p, have the same equilibrium constitution. Ten samples each of different composition, or each held at different T or p values, have ten different equilibrium constitutions. [Pg.325]

Figure 20-9 shows the negative effect of uninsulated heating elements on corrosion protection. In a 250-liter tank, an electric tube heating element with a 0.05-m surface area was screwed into the upper third without electrical separation, and in the lower third a tinned copper tube heat exchanger with a 0.61 -m surface area was built in. The Cu heat exchanger was short-circuited for measurements, as required. For cathodic protection, a potential-controlled protection system with impressed current anodes was installed between the two heating elements. The measurements were carried out with two different samples of water with different conductivities. [Pg.454]

A microscopic description characterizes the structure of the pores. The objective of a pore-structure analysis is to provide a description that relates to the macroscopic or bulk flow properties. The major bulk properties that need to be correlated with pore description or characterization are the four basic parameters porosity, permeability, tortuosity and connectivity. In studying different samples of the same medium, it becomes apparent that the number of pore sizes, shapes, orientations and interconnections are enormous. Due to this complexity, pore-structure description is most often a statistical distribution of apparent pore sizes. This distribution is apparent because to convert measurements to pore sizes one must resort to models that provide average or model pore sizes. A common approach to defining a characteristic pore size distribution is to model the porous medium as a bundle of straight cylindrical or rectangular capillaries (refer to Figure 2). The diameters of the model capillaries are defined on the basis of a convenient distribution function. [Pg.65]

FIG. 6 Examples of adsorption isotherms for the Ar/MgO system measured on different samples of MgO crystals. (From Ref. 61.)... [Pg.265]

The actual loading capacity always depends on the sample composition and the separation problem. As a rule the volume of the loaded sample should not exceed 5% of the column volume. However, this recommendation is valid only for preparative runs. For analytical applications when a high resolution is needed, the volume of the injected sample should be about 1% of the total column volume or even less. For a preparative run on a 1000 X 200-mm column (bed height 60 cm), two different sample volumes were injected. If the sample volume is 0.3% of the total bed volume, the separation is more efficient... [Pg.233]

In Fig. 4-11, two different samples are displayed in their original conformations and conformations fitted to the query as they are highlighted by the CFS search process. The CFS process rotates single bonds between two atoms to find the maximum and minimum difference possible with the distance and angle constraints. Then, using a torsional fitter, it attempts to minimize in those conformations the deviations between measured values of 3D constraints and the values that are specified in the 3D-search query. [Pg.111]

Different samples of aqueous solution containing radionuclides of Co and Eu were prepared at different copper sulphate concentrations and constant polymer concentrations (pAM) of 15 mg/1. The addition of salt to the system was done to reduce both the repulsion forces between the radionuclides and the interaction between the polymeric chains [7]. The polymer efficiency for the prepared samples was determined, results are shown in Fig. 15. It is clear that the polymer efficiency for Eu " is higher than for Co. This can be explained by the difference in the tightly bound structured water associated with different cationic species [14,107]. On this basis, we expect that Co is more hydrated than Eu. This is due to the difference in the ionic size. The hydra-... [Pg.130]

Table 3 Temperature Location (tan5 basis, 3 Hz) and Activation Energies of the /3 and y Relaxations for Different Samples with Varying Content in Oxyethylene Units (frEo)... Table 3 Temperature Location (tan5 basis, 3 Hz) and Activation Energies of the /3 and y Relaxations for Different Samples with Varying Content in Oxyethylene Units (frEo)...

See other pages where Difference sample is mentioned: [Pg.488]    [Pg.490]    [Pg.1016]    [Pg.514]    [Pg.1647]    [Pg.1649]    [Pg.1836]    [Pg.725]    [Pg.197]    [Pg.75]    [Pg.261]    [Pg.200]    [Pg.305]    [Pg.202]    [Pg.522]    [Pg.180]    [Pg.181]    [Pg.39]    [Pg.120]    [Pg.573]    [Pg.264]    [Pg.74]    [Pg.94]    [Pg.377]    [Pg.204]    [Pg.247]   
See also in sourсe #XX -- [ Pg.31 ]




SEARCH



A Sampling of Differences

Clinically relevant difference sample size

Clinically relevant difference with sample size

Diffusion difference between samples

Monte Carlo Sampling from Different Ensembles

Monte Carlo simulation different ensembles, sampling from

Normalised molar mass distribution curves of two different polyethylene samples

Sample geometry, differences

Sample geometry, differences quantitation

Sample preconcentration conductivity difference

Sampling Different Ensembles

Sampling Strategies for Different Ecosystems

Sampling differences

Sampling differences

Sampling differences between studies

Spectroscopic Methods Applicable to Different Sample Sizes

Treatment effects/differences sample size

© 2024 chempedia.info