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Complex data

Type C requires the most complex data analysis. To illustrate, we have reduced the data of Henty (1964) for the system furfural-benzene-cyclohexane-2,2,4-trimethylpentane. VLB data were used in conjunction with one ternary tie line for each ternary to determine optimum binary parameters for each of the two type-I ternaries cyclohexane-furfural-benzene and 2,2,4-... [Pg.75]

The use of automatic interpretation techniques serves first of all the increase in the speed of the data interpretation however, very important goals are also the increase in the reliability and reproducibility of the inspection. Also, in some situations, computer systems can help to interpret complex data because they are capable of analysing more data simultaneously than it can be done by an operator. [Pg.97]

Handling of complex data sets Visual data mining methods especially show huge advantages over classical approaches if only Httle information about the data is known or if the expected patterns and relationships are not clearly defined. Furthermore, very inhomogeneous data sets or data with a high noise level can still be analyzed by these methods. [Pg.476]

Binding and complexation data Folding processes Transition temperatures Free energies for point mutations Free energies of binding... [Pg.165]

The challenges for visualization are at least twofold. Easter graphics hardware will be required to display and manipulate more complex data displays. More importantly, the human effort required to develop visualization systems must be reduced. It is the realm of the expert programmer to implement a usable visualization system. General purpose tools that allow the nonexpert to import data in different formats into robust visualization systems are just beginning to appear. [Pg.93]

Of course, densities of pure metals do not change over time, though the available precision may improve a little over the decades. However, many more complex data do change significantly as new experiments are done, and new materials or material systems come along constantly and so entirely new data flood the literature. Materials scientists, like chemists, physicists and engineers, need means of finding these. Those means are called databases. This brief chapter surveys how databases are assembled and used, with special attention to materials. [Pg.491]

The chemistry of Lewis acid-base adducts (electron-pair donor-acceptor complexes) has stimulated the development of measures of the Lewis basicity of solvents. Jensen and Persson have reviewed these. Gutmann defined the donor number (DN) as the negative of the enthalpy change (in kcal moL ) for the interaction of an electron-pair donor with SbCls in a dilute solution in dichloroethane. DN has been widely used to correlate complexing data, but side reactions can lead to inaccurate DN values for some solvents. Maria and Gal measured the enthalpy change of this reaction... [Pg.425]

Microarray experiments generate large and complex data sets that constitute e.g. lists of spot intensities and intensity ratios. Basically, the data obtained from microarray experiments provide information on the relative expression of genes corresponding to the mRNA sample of interest. Computational and statistical tools are required to analyze the large amount of data to address biological questions. To this end, a variety of analytical platforms are available, either free on the Web or via purchase of a commercially available product. [Pg.527]

The coding theorem states that if a source rate is less than the information capable of being transmitted by the channel, then the source output can be transmitted over the channel with as high a reliability as desired by the use of sufficiently complex data processing or coding equipment at the channel terminals. Theorem 4-11 gives a careful statement and proof of this result. [Pg.190]

In fact, one of the major applications of chitosan and some of its many derivatives is based on its ability to bind precious, heavy and toxic metal ions. Another article reviews the various classes of chitosan derivatives and compares their ion-binding abihties under varying conditions, as well as the analytical methods to analyze them, the sorption mechanism, and structural analysis of the metal complexes. Data are also presented exhaustively in tabular form with reference to each individual metal ion and the types of compounds that complex with it under various conditions, to help reach conclusions regarding the comparative efficacy of various classes of compounds [112]. [Pg.162]

Many current multidimensional methods are based on instruments that combine measurements of several luminescence variables and present a multiparameter data set. The challenge of analyzing such complex data has stimulated the application of special mathematical methods (80-85) that are made practical only with the aid of computers. It is to be expected that future analytical strategies will rely heavily on computerized pattern recognition methods (79, 86) applied to libraries of standardized multidimensional spectra, a development that will require that published luminescence spectra be routinely corrected for instrumental artifacts. Warner et al, (84) have discussed the multiparameter nature of luminescence measurements in detail and list fourteen different parameters that can be combined in various combinations for simultaneous measurement, thereby maximizing luminescence selectivity with multidimensional measurements. Table II is adapted from their paper with the inclusion of a few additional parameters. [Pg.12]

Scientific software tends to be better equipped for handling and presenting complex data than the commonly available business graph packages, but even when one knows which options to choose, the limits that two-dimensional paper imposes remain in place. [Pg.134]

If, as is usual, standard deviations are inserted for e cr has a similar interpretation. Examples are provided in Refs. 23, 75, 89, 93, 142, 169-171 and in Section 4.17. In complex data evaluation schemes, even if all inputs have Gaussian distribution functions, the output can be skewed,however. [Pg.171]

NMR Spectroscopy. All proton-decoupled carbon-13 spectra were obtained on a General Electric GN-500 spectrometer. The vinylldene chloride isobutylene sample was run at 24 degrees centigrade. A 45 degree (3.4us) pulse was used with a Inter-pulse delay of 1.5s (prepulse delay + acquisition time). Over 2400 scans were acquired with 16k complex data points and a sweep width of +/- 5000Hz. Measured spin-lattice relaxation times (Tl) were approximately 4s for the non-protonated carbons, 3s for the methyl groups, and 0.3s for the methylene carbons. [Pg.164]

The PVA sample was run at 55 degrees centigrade. A 90 degree (6.8us) pulse was used with a inter-pulse delay of 2.1s. Exactly 800 scans were acquired with 16k complex data points and a sweep width of +/-2000 Hz. [Pg.164]

The products obtained from the Pt(PR3)2X2-CNCH3 reactions were dependent on the nature of the platinum species. Five-coordinate adducts, [Pt(PR3)2(CNCH3)2X]X, were isolated for the iodo and bromo complexes (R=Ph), although the latter was unstable and slowly lost isocyanide. The observation of five-coordination here is somewhat unusual, but since this report, it was also observed in a different situation (85), mentioned above. The more common observation was the isolation of four-coordinate species, implying the low stability of most five-coordinate complexes. Data on these reactions are summarized below [Eqs. (33, 34)]. [Pg.77]

We can identify several goals of mathematical and computational models, all aimed at improving our decisions in the face of complexity, data overload, sparsity, and inconsistency. From the previous discussion, we see that models can be used to ... [Pg.533]

Fig. 17. Plot of change in complex stability, Alog K, that occurs for the pairs of ligands THEEN and EN (O), and PDTA-amide and EDDA ( ), as a function of metal ion radius (20). The diagram shows how netural oxygen donors stabilize the complexes of large metal ions relative to small metal ions. Alog Ki for THEEN and EN, for example, is log Kx for the THEEN complex of the particular metal ions, minus log Kx for the EN complex. Data from Ref. (11). Fig. 17. Plot of change in complex stability, Alog K, that occurs for the pairs of ligands THEEN and EN (O), and PDTA-amide and EDDA ( ), as a function of metal ion radius (20). The diagram shows how netural oxygen donors stabilize the complexes of large metal ions relative to small metal ions. Alog Ki for THEEN and EN, for example, is log Kx for the THEEN complex of the particular metal ions, minus log Kx for the EN complex. Data from Ref. (11).
Mankind s impact on the global climate and whether pollution from modern energy use is indeed warming the Earth have become important issues for national and international policy makers. Political pressure and public sentiment are based on complex data sets that, alone, cannot tell the whole story. The ultimate question is whether our climate is becoming warmer because of the slow build-up in atmospheric greenhouse gas concentrations (1). The answer is not clear, because much of what we know about global climate change is inferred from historical evidence of uncertain quality. [Pg.88]

Because of their ability to classify complex data types that have no explicit mathematical model, neural networks have become a powerful and widely used approach to pattern recognition problems in general. A neural network is a series of mathematical operations performed on input data that ultimately... [Pg.155]

Scientists need to classify and organize complex data, such as that yielded by medical tests or analysis via GC-MS (gas chromatography-mass spectrometry). The data may be multifaceted and difficult to interpret, as different tests may conflict or yield inconclusive results. Growing cell structures may be used to assess medical data for example, such as that obtained from patient biopsies, and determine whether the test results are consistent with a diagnosis of breast cancer.1... [Pg.5]

Figure 2. Typical linear dichroism spectra of non-covalent (solid lines) and covalent (dashed lines) DNA complexes (data of M. Shahbaz). Figure 2. Typical linear dichroism spectra of non-covalent (solid lines) and covalent (dashed lines) DNA complexes (data of M. Shahbaz).
Similar complex data has been reported by Haowen et al. [109] for Ni-Sn-P films, again using citrate as a complexant, and by Aoki and Takano [110] for the influence of citrate concentration on the composition W in Ni-W-P alloys. In a study of the deposition of films containing up to 30 at% Sn, Osaka and coworkers [111] observed simpler behavior, evidently due to the more selective complexation of Ni2+ by citrate as a function of citrate concentration, they reported a rapid decrease in alloy deposition rate, an increase in Sn content in the deposit, and a slow decline in P content of the deposits. [Pg.257]

Ring-closure reactions of monodentate diamine complexes to chelate complexes. (Data from Tobe et al., 1982)... [Pg.79]


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Alkali complexation data

Bromide complexes thermodynamic data

Calixarenes complexation data

Cations alkali complexation data

Complex Carbohydrate Structure Data

Complex Non-Linear Regression Least-Squares (CNRLS) for the Analysis of Impedance Data

Complex data point

Complex data sets

Complex data sets, simplification

Complex fraction data

Complex halides crystal structure data for

Complex permittivity data, analysis

Complex systems data fitting problems

Complex systems data processing

Crystal data complex salts

Data Complexity

Data Complexity

Data analysis complexes

Dioxygen complexes structural data

Drug-Target Complex-Related Data

EDTA complexes thermodynamic data

Glycolate complexes thermodynamic data

Hydride complexes, vibrational data

Mossbauer data complex

Selected thermodynamic data for auxiliary compounds and complexes

Selected thermodynamic data for reactions involving auxiliary compounds and complexes

Selected thermodynamic data for reactions involving selenium compounds and complexes

Spectroscopic data, platinum complexes

Structural data, complexes

Structural data, ’*-core complexes

Sulfoxide complexes structural data

Surface complexation models microscopic data

Tc complexes, structural data

Thermochemical data hydride complexes

Thermodynamic data arene complexes

Thermodynamic data complexes

Transition metal complexes photochemical data

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