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Analysis sets multiplicity

A variation on depth profiling that can be performed by modern scanning Auger instruments (see Sect. 2.2.6) is to program the incident electron beam to jump from one pre-selected position on a surface to each of many others in turn, with multiplexing at each position. This is called multiple point analysis. Sets of elemental maps acquired after each sputtering step or each period of continuous sputtering can be related to each other in a computer frame-store system to derive a three-dimensional analysis of a selected micro volume. [Pg.42]

Following the same experimental protocol and analysis strategy, multiple sets of conductance values for 1,5-pentanedithiol (PDT), 1,6-hexanedithiol (HDT), 1,8-octanedithiol (ODT), and 1,10-decanedithiol (DDT) were measured. The results are summarized in Table 1. Inspection of the data reveals that the high-conductance values (H) are approximately five times larger than the medium-conductance values (M), while the low values (L) do not scale with a constant ratio with respect to the M or L data sets. [Pg.148]

Currently, the methods employed for genetic testing are both labor intensive and highly complex and require the simultaneous analysis of multiple nucleic acid markers. Microarray technology is without doubt the most practical approach to multiplex and analyze biomolecular markers. Although widely used in the research setting, adaptation of microarray technology to the clinical environment has been slow. [Pg.30]

While only -10% of microarray datasets address the problem of batch effects (48), the degree of error contributed by batch effects may be significant. Batch effects may include experimental variations introduced due to multiple types of technical bias (e.g., time, laboratory, reagents, handling). Analysis of multiple methods to address batch effects has been addressed for precision, accuracy, and overall performance (48). Once probe set raw intensities have been processed via normalization and possible additional corrective measures, values can be used for downstream analyses in identifying differentially expressed genes and corresponding functional associations. [Pg.456]

In a superiority trial the primary analysis will be based on the full analysis set with the per-protocol set being used as the basis for a supportive secondary analysis, and in this sense there will be no multiplicity issues. The form of the analysis, however, depends in addition on the methods to be used to account for missing data and these should clearly be pre-specified. It is also good practice to explore the robustness of the conclusions to both the choice of the per-protocol set and the methods to be used for missing data. These analyses again will be supportive (or not) of the main conclusions and no multiplicity aspects arise. [Pg.158]

Near Infrared Reflectance Analysis (NIRA) is in use at over 5000 sites for the analysis of multiple constituents in food and other products. The technology is based upon correlation transform spectroscopy, which combines NIR spectrophotometry and computerized analysis of a "learning set" of samples to obtain calibrations without the need for detailed spectroscopic knowledge of factors being analyzed. The computer can obtain spectral characteristics of the analyte (based upon a correlation with data from an accepted reference analysis) without separation of the sample s constituents. [Pg.93]

Table 3.9. Typical energy, amplitude, and broadening parameters of near-band-gap CP structures Eq (a = A, B, and C) and their exciton polarizabilities of ZnO obtained from SE analysis of multiple sample sets at RT... Table 3.9. Typical energy, amplitude, and broadening parameters of near-band-gap CP structures Eq (a = A, B, and C) and their exciton polarizabilities of ZnO obtained from SE analysis of multiple sample sets at RT...
An important feature of the book is a set of industrial process case studies that demonstrate the role of single-unit calculations in the analysis of multiple-unit processes. We have designed the case studies to be worked on as term projects by individuals or (preferably) small teams of... [Pg.707]

Some powder diffractometers, particularly those which are used for routine analysis of multiple samples of the same kind, can be equipped with multiple sample changers (usually from 4 to 12 specimens can be accommodated by a single sample changer). This ensures straightforward software control over the data collection process within a series of samples and enables better automation, as data sets from multiple samples may be collected without operator intervention, e.g. overnight or during a weekend. Multiple sample changers are common in powder x-ray diffractometers used... [Pg.272]

Experimental data were obtained with on-line detector set-ups. Figure 6.27 shows the good consistency of the on-line and off-line analysis (= multiple fractions and HPLC analysis) for the injection of the EMD53986 racemic mixture. In this case a two-detector set-up of polarimeter and UV detector was used, which permits the solute-specific detection of both components (Epping, 2005, Jupke, 2004 and Man-nschreck, 1992). As the collection and analysis of multiple fractions with a high sample rate is tedious, the on-line measurement method should be used whenever possible. [Pg.293]

To avoid unnecessary complications in the analysis of multiple reactions, we restrict the following discussion to sets of independent chemical reactions. Consequently, we need a.method of identifying a set of independent reactions from a larger collection of reactions. When only a few reactions are involved, as in the foregoing example, this can be done by inspection. If many reactions occur, the methods of matrix algebra can be used to determine a set of independent reactions, though we will employ a simpler procedure developed by Denbigh. ... [Pg.352]

Pixton, L.. and Belmont. A. S. (19%). NewVision A program for interactive navigation and analysis of multiple. 3-D data sets using coordinated virtual cameras. 7. Struct. Bio 116, 77-85. [Pg.123]

The last four chapters of this book have all been concerned with methods that handle multiple independent (descriptor) variables. This has included techniques for displaying multivariate data in lower dimensional space, determining relationships between points in N dimensions and fitting models between multiple descriptors and a single response variable, continuous or discrete. Hopefully, these examples have shown the power of multivariate techniques in data analysis and have demonstrated that the information contained in a data set will often be revealed only by consideration of all of the data at once. What is true for the analysis of multiple descriptor variables is also true for the analysis of multiple... [Pg.162]

System suitability refers to a unique set of performance specifications that is directly linked to a method. These specifications are not accuracy, precision, linearity, etc., which are measures of method performance and are used to support product release. These data are generated after the analysis set is complete. Conversely, a system suitability parameter directly ties the immediate performance of the method for a specific portion of an analytical sequence. Some parameters that are commonly used as system suitability parameters include theoretical plates aaA/oc peak symmetry for the analyte peak Ifl), resolution or a for multiple analyte peaks in a determination), or check sample results (analysis of a previously analyzed sample). [Pg.74]

Developmental neurotoxicity academic achievement reading, math scores multiple large-sample data sets 2 Data based on, for example, pooled analysis from multiple neurocognitive studies concurrent PbB shows strongest dose—response ... [Pg.759]


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See also in sourсe #XX -- [ Pg.148 , Pg.158 ]




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Analysis sets

Multiple analyses

Multiple-descriptor data sets and quality analysis

Multiplicity analysis

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