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PARCH reads update information from formatted cards, or other input file containing card images. Input having existing component indices replace old data with those indices. Otherwise the new component data is added to the library, with the restriction that the total number of components is always less than or equal to 100. [Pg.344]

Information from an n.m.r. spectrum is classified into the chemical shift, <5 (the relative shift from a standard [Me Si for H, CC13F for which is rendered independent of the field), and the coupling constants, J, which are determined directly from the spectra. [Pg.282]

Introduction and Commercial Application JUe objective of performing appraisal activities on discovered accumulations is to reduce the uncertainty in the description of the hydrocarbon reservoir, and to provide information with which to make a decision on the next action. The next action may be, for example, to undertake more appraisal, to commence development, to stop activities, or to sell the prospect. In any case, the appraisal activity should lead to a decision which yields a greater value than the outcome of a decision made in the absence of the information from the appraisal. The improvement in the value of the action, given the appraisal information, should be greater than the cost of the appraisal activities, otherwise the appraisal effort is not worthwhile. [Pg.173]

As discussed at the beginning of this section, the value of information from appraisal is the difference between the outcome of the decision with the information and the outcome of the decision without the information. [Pg.179]

The construction of a project cashflow requires information from a number of different sources. The principal inputs are typically -... [Pg.306]

Extraction of useful information from Ascan signals... [Pg.174]

One more significant aspect of modem microscopy is the quantitative interpretation of the images in terms of the microstmcture of the object. Although most microscopes include or can be combined with powerful image processing systems, the interpretation of the contrast is still the main problem. On the other hand, reliable micromorpbological information could be easily obtained from a set of thin flat cross sections which reveal only density information, from which case accurate two- and three-dimensional numerical parameters of the internal microstmcture could be calculated. [Pg.579]

Considering existing microscopical techniques, one can find that non-destmctive information from the internal stmcture of an object in natural conditions can be obtained by transmission X-ray microscopy. Combination of X-ray transmission technique with tomographical reconstmction allows getting three-dimensional information about the internal microstmcture [1-3]. In this case any internal area can be reconstmcted as a set of flat cross sections which can be used to analyze the two- and three-dimensional morphological parameters [4]. For X-ray methods the contrast in the images is a mixed combination of density and compositional information. In some cases the compositional information can be separated from the density information [5]. Recently there has been a... [Pg.579]

Templates for each of the joint configurations are stored within the system. The operator selects one of the templates, and is provided with a visual representation, as shown in Figure 3, on which he can alter the Joint dimensions and weld geometry to match those of the item to be examined any ae-cess restrictions can also be defined. Using information from a database of available probes, along with the examination level required, ProcGen then calculates the set of scans required (see Figure 4). [Pg.767]

Remade F and Levine R D 1993 Time domain information from resonant Raman excitation profiles a direct inversion by maximum entropy J. Chem. Phys. 99 4908-25... [Pg.1227]

Heuberger M, Luengo G and israeiachviii J N 1997 Topographic information from muitipie beam interferometry in the surface forces apparatus Langmuir 3839-48... [Pg.1748]

The generalized Prony analysis can extract a great variety of information from the ENDyne dynamics, such as the vibrational energy vib arrd the frequency for each normal mode. The classical quantum connection is then made via coherent states, such that, say, each nomral vibrational mode is represented by an evolving state... [Pg.240]

This is the domain of structure elucidation, which, for most part, utilizes information from a battery of spectra (infrared, NMR, and mass spectra). [Pg.3]

The DENDRAL project initiated in 1964 at Stanford was the prototypical application of artificial intelligence techniques - or what was understood at that time under this name - to chemical problems. Chemical structure generators were developed and information from mass spectra was used to prune the chemical graphs in order to derive the chemical structure associated with a certain mass spectrum. [Pg.11]

Structure elucidation systems that utilized information from several spectroscopic techniques were initiated in the late 1960s at Toyohashi, Japan, and at the University of Arizona. [Pg.11]

The editor provides two modes for drawing the structure and the draw mode. This distinction is important for differentiating chemical information from conventional drawings. Both modes are switchable and provide an extensive set of features in the menu bar to create chemical structures and reactions, or just drawings. The number of options can be quite confusing for beginners however, one becomes accustomed to them after a short period of vocational adjustment. [Pg.141]

Monographs, reference books, and encyclopedias, e.g., Ullmann s Encyclopedia of Industrial Chemistry, the Kirk-Othmer Encyclopedia of Chemical Technology, or the Encyclopedia of Computational Chemistry are included in this type of literature, which is furthest from the primary literature as concerns time and content. In most cases, tertiary literature summarizes a topic with information from different sources, and additionally evaluates the contents. [Pg.239]

Introduction Difficulties in Extracting Scientific Environmental Information from the Internet... [Pg.274]

EVA descriptors were proposed by Ferguson et al. [Ah, 47]. The EVA descriptor (EigenVAlue) extracts structural information from infrared spectra. The eigenva-... [Pg.427]

Chemical data contain information about various characteristics of chemical compounds and a wide spectrum of methods are applied to extract the relevant information from the data sets. Data analysis, however, not only deals with the extraction of primary information from data but also with the generation of secondary... [Pg.439]

Chemometrics is the discipline which deals wdth the application of statistical and, in a more general sense, of mathematical methods to chemical data. Chemometric methods are used for the extraction of chemical information from chemical data. [Pg.442]

Data mining provides methods foi the exti action of implicit oi hidden information from large data sets and comprises procedures for the generation of reasonable and dependable secondai information. [Pg.472]

Data mining in chemistry focuses on the extraction and evaluation of information in chemical data sets. In contrast to other fields of data mining applications, chemical data mining does not confine itself to conventional database queries but rather generates new information from the data. [Pg.474]

A variety of methods have been developed by mathematicians and computer scientists to address this task, which has become known as data mining (see Chapter 9, Section 9.8). Fayyad defined and described the term data mining as the nontrivial extraction of impHcit, previously unknown and potentially useful information from data, or the search for relationships and global patterns that exist in databases [16]. In order to extract information from huge quantities of data and to gain knowledge from this information, the analysis and exploration have to be performed by automatic or semi-automatic methods. Methods applicable for data analysis are presented in Chapter 9. [Pg.603]

This does not have to be so Why not build an uninterrupted stream of information from the producer (the bench chemist) to the consumer (the reader of a journal or book, or the scientist that puts a query into a database) It is quite clear that the producers of information knows best what experiments were done, what observations were made, what results have been obtained. They should put this information into electronic laboratory books, augmented with spectral data (that they can obtain directly from the analytical laboratory). From this electronic repository aU other information sources -manuscripts, journals, books, databases - could be filled, clearly sometimes by manual selection, but not by changing data ... [Pg.625]


See other pages where Information from is mentioned: [Pg.181]    [Pg.282]    [Pg.45]    [Pg.208]    [Pg.1018]    [Pg.2328]    [Pg.256]    [Pg.281]    [Pg.66]    [Pg.67]    [Pg.246]    [Pg.314]    [Pg.260]    [Pg.314]    [Pg.540]    [Pg.2]    [Pg.26]    [Pg.138]    [Pg.525]    [Pg.550]    [Pg.557]    [Pg.594]    [Pg.721]    [Pg.93]   
See also in sourсe #XX -- [ Pg.160 , Pg.161 , Pg.162 ]




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Additional Information Obtained from Semi-empirical and Ab Initio Calculations

Analytical Information Obtained from the Conservation Process

Analytical Information Obtained from the Environment

Analytical Information Obtained from the Object

Atomic force microscopy structural information from

Balanced equations quantitative information from

Biological databases information retrieval from

Bond Information from Vibrational Spectra

Catalysis, mechanistic information from

Categories of information resulting from the design process in reactive distillation

Cellular information transfer from

Ceramics information from combined

Ceramics information from diffraction

Ceramics information from nuclear

Chemical Information from Isomer Shifts

Concentrations from crystallographic information

Cryo-electron microscopy structural information from

Densities from crystallographic information

Depth-Sensitive Information from AES

Designing experiments for maximum information from cyclic oxidation tests and their statistical analysis using half normal plots (COTEST)

Documentation from the Information Point of View

Dynamic information from relaxation

Elastic molecular light scattering information from

Electrical conductivity obtaining information from

Electrochemical systems, thermodynamics thermodynamic information from

Electron microscopy structural information from

Electron paramagnetic resonance structural information from

Electrospray mass spectrum structural information from

Enzymes practical information from

Evaluation of Structural Information from Gaseous Electron Diffraction

Extracting Information from Hydrogen Exchange Mass Spectrometry Data

Extracting Information from Simulations

Extraction of Maximum Analytical Information from the Data

Flavonoid biodiversity III information from specific tomato mutants

From Structure to Information. The Challenge of Instructed Chemistry

Genomic information insights from

Getting information from electrical conductivity data

Glasses information from FTIR

Glasses information from combined

Glasses information from diffraction

Glycoside Hydrolases Mechanistic Information from Studies with Reversible and Irreversible Inhibitors

Governments, markets information from

Graphs extracting information from

How to Gain Structural Information from Molecular Formulas and the Index of Hydrogen Deficiency

Inelastic light scattering molecular information from

Information Derived from Toxicity Testing

Information Extracted from Lanthanide Luminescent Probes

Information Obtained from Model Solutions

Information Required from Manufacturer

Information Systems Productivity Improvements from

Information Systems Savings from

Information about crystal structures from other methods

Information derivable from reactive systems

Information from Complex Isotopic Patterns

Information from Electronic Spectra

Information from Fluorescence

Information from Mass Spectra

Information from Mimic Reactions

Information from Mossbauer spectroscopy

Information from Relaxation Dispersion Measurements

Information from chemical shifts

Information from coupling constants

Information from markets about exposure

Information from overtone spectra

Information from relaxation data

Information from requirements

Information from spectroscopic methods

Information from technique

Information from the environment

Information from vibrational spectra

Information gained from student

Information on Photoinduced Processes from Fluorescence Spectra

Information theory indices derived from

Information transfer from nucleic

Integrated Information Systems Benefits from

Integrated Information Systems Savings from

Introduction Difficulties in Extracting Scientific Environmental Information from the Internet

Kinetics practical information from

Kinetics, mechanistic information from

Maximum Information from Experiments

Mechanistic information from more detailed studies of product structure

Microscopic information (from

Minerals information from combined

Models, information from

Molecular dynamics extracting information from simulation

Molecular formulas gaining structural information from

Molecular light scattering, information from

Monte Carlo methods extracting information from simulation

Mossbauer spectroscopy structural information from

Nuclear magnetic resonance information from

Other Information from NMR Spectra

Predictive information from

Predictive information from chromatographic retention data

Processing of Information Received from Earth Resources Satellites

Proteins cellular information transfer from

Quantitative Information from Chemical Equations

Quantitative information from chemical reactions

Quantitative information, from

Quantitative information, from balanced

Rate Information from Constant Intensity Irradiation of Alkyl Aryl Ethers

Rate Information from an Optically Active Ether

Relative Rate Information from Irradiation of Aryl Esters in Which Acyl Radicals Do Not Decarbonylate Rapidly

Resonance Analysis Information from Asymptotic Wavefunctions

Rules from information theory

Scanning tunnelling microscopy structural information from

Searches Information desired from

Sequence information, from electrospray

Sequence information, from electrospray spectrum

Solids from crystallographic information

Stoichiometry quantitative information from

Structural Information from Electrospray Ionization

Structural information from XAFS

Structural information from XAFS analysis

Structural information from spectral data

Structural information from valence-shell PE spectroscopy making assignments

Summary of the Information from Experimental Studies

TYPES OF INFORMATION AVAILABLE FROM RISK STUDIES

Tandem mass spectrometry structural information obtained from

The Information Obtained from Model Solutions

Thermodynamic Information from Electrochemistry

Thermodynamics from crystallographic information

Thermodynamics thermodynamic information from

Thermodynamics, information from

Thermogravimetric analysis information from

Transit Time Distributions, Linear Response, and Extracting Kinetic Information from Experimental Data

Unique information from EHD impedance

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