Big Chemical Encyclopedia

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

Articles Figures Tables About

Data base

All of the assessment programs involve a common process. The key to the process is the gathering of a wide variety of information on chemical substances in order to assess the potential health and environmental risks and to identify ways to control exposure. Gathering the information requires a meticulous search of hundreds of data sources encompassing books, journals, computerized data bases, and data files in libraries and in the hands of governmental agencies and the private sector. This article reviews these various data sources. Its purpose is to familiarize those involved in hazard assessment activities with frequently used data sources, their contents and their limitations. [Pg.2]

Over the last decade, rapid advances in information-processing technology have greatly facilitated science and technology information searches. A large number of data bases are now available as easily accessible on-line computerized data bases. This achievement has resulted from cooperative efforts between [Pg.2]

Systems Development Corporation (SDC) Lockheed Information System (LIS) 2500 Colorado Avenue 3460 Hillview Avenue [Pg.3]

Santa Monica, California 90406 Palo Alto, California 94304 [Pg.3]

Commercial Data Bases Offered by Systems Development Corporation (SDC) and the Lockheed Information Systems (LIS) [Pg.3]


The calculation of vapor and liquid fugacities in multi-component systems has been implemented by a set of computer programs in the form of FORTRAN IV subroutines. These are applicable to systems of up to twenty components, and operate on a thermodynamic data base including parameters for 92 compounds. The set includes subroutines for evaluation of vapor-phase fugacity... [Pg.5]

The data base contains provisions for a simple augmentation by up to eight additional compounds or substitution of other compounds for those included. Binary interaction parameters necessary for calculation of fugacities in liquid mixtures are presently available for 180 pairs. [Pg.5]

If values for the binary parameters b., in Equation (20) are available, they can be added to the data base and used in ENTH, which now includes this parameter, however, set to zero. [Pg.93]

The reservoir model will usually be a computer based simulation model, such as the 3D model described in Section 8. As production continues, the monitoring programme generates a data base containing information on the performance of the field. The reservoir model is used to check whether the initial assumptions and description of the reservoir were correct. Where inconsistencies between the predicted and observed behaviour occur, the model is reviewed and adjusted until a new match (a so-called history match ) is achieved. The updated model is then used to predict future performance of the field, and as such is a very useful tool for generating production forecasts. In addition, the model is used to predict the outcome of alternative future development plans. The criterion used for selection is typically profitability (or any other stated objective of the operating company). [Pg.333]

These lab tests were done to gain a specific data base for such a brittle material compared to the normal steels used for the manufacturing of pressure equipments. In any case the application of AE was only possible due to the rapid development of the data processing and the new state-of-the-art equipment where this technique is built in.(3)... [Pg.32]

The only meaningful solution is a pneumatic test in conjunction with an AE. Beside the high sensitivity of an AE and its reliability in combination with an established and proven data base, the method can be performed by experienced testing agencies easily and within short shut down period. A lot of 4 up to 9 drums can be tested within one day. [Pg.34]

In future we will increase our data base also for the newest types of drums and are also convinced, that by the application of pattern recognition AE becomes beside its detection ability more and more also a valuation technique. [Pg.34]

DATA BASE OF VESSELS MONITORED BY ACOUTIC EMISSION... [Pg.55]

In order to describe inherited stress state of weldment the finite element modelling results are used. A series of finite element calculations were conducted to model step-by-step residual stresses as well as its redistribution due to heat treatment and operation [3]. The solutions for the reference weldment geometries are collected in the data base. If necessary (some variants of repair) the modelling is executed for this specific case. [Pg.196]

Regulatoty authority and data base are up to date and comprehensive. [Pg.920]

In addition, NDT plays an important part in industrial maintenance. During plant shutdowns for instance, many thousands of ultrasonic wall thickness measurements are taken on piping, vessels, furnace tubes etc. All these thickness readings have to go into extensive data bases, and this process is, thanks to modem computers and data loggers, ever more automated. [Pg.946]

Seah M P and Dench W A 1979 Quantitative electron spectroscopy of surfaces a standard data base for electron inelastic mean free paths in solids Surf, interface Anai. 1 2... [Pg.318]

Functions with higher / values and with sizes like those of lower-/ valence orbitals are also used to introduce additional angular correlation by pemiitting angularly polarized orbital pairs to be fomied. Optunal polarization functions for first- and second-row atoms have been tabulated and are included in the PNNL Gaussian orbital web site data base [45]. [Pg.2172]

The polynomials Wa q) q = qik) and Wy q) (q = qi) needed to specify the pair and surface potentials are constructed from the set of such q realized in a data base of 266 proteins with a total of 46100 residues by means of density estimation techniques. [Pg.217]

At present, the data base used for the fit was not specially selected to avoid homologous proteins. Thus, a further improvement can be expected from using data for one of the specially prepared lists of PDB files (cf. Hobohm et al. [9]). We also expect further improvements from replacing the polynomial fits in the potential estimation procedure by piecewise cubic fits though at the moment it is not clear how to select the number of nodes needed to get a good but not overfitting approximation to the density. Finally, we are considering... [Pg.221]

In principle, two different classes of structure generators can be distinguished, namely empirical approaches,. such as fragment-based or rule- and data-based... [Pg.95]

The program system COBRA [118, 119] can be regarded as a rule- and data-based approach, but also applies the principles of fragment-based (or template-based) methods extensively (for a detailed description sec Chapter 11, Sections 7.1 and 7.2 in the Handbook). COBRA uses a library of predefined, optimized 3D molecular fragments which have been derived from crystal structures and foi ce-field calculations. Each fi agment contains some additional information on... [Pg.98]

A widely used 3D structure generator is CONCORD [131, 132] (for a more detailed description see Chapter II, Section 7.1 in the Handbook). CONCORD is also a rule- and data-based program system and uses a simplified force field for geometry optimization, CONCORD converts structures from 2D to 3D fairly fast... [Pg.102]

D structures can be generated with fragment-based, data-based, and numerical methods. [Pg.160]

The network model of a database system is an improvement over the hierarchical model. This model was developed in 1969 by the Data Base Task Group (DBTG) of CODASYL (Conference on Data System Languages) [8, because sometimes the re-... [Pg.233]

Data Mining is the core of the more comprehensive process of knowledge dis-coveiy in data bases (KDD). However, the term data mining" is often used synonymously with KDD. KDD describes the process of extracting and storing data and also includes methods for data preparation such as data cleaning, data selection, and data transformation as well as evaluation, presentation, and visualization of the results after the data mining process. [Pg.472]

We will generate the energies for the carbon-hydrogen bond /fen and the carbon-carbon single bond Hix using the five linear alkanes from ethane through hexane as the five-member data base. The equation to be used is... [Pg.89]

We now have two ways of inserting the correct parameters into the STO-2G calculation. We can write them out in a gen file like Input File 8-1 or we can use the stored parameters as in Input File 8-2. You may be wondering where all the parameters come from that are stored for use in the STO-xG types of calculation. They were determined a long time ago (Hehre et al, 1969) by curve fitting Gaussian sums to the STO. See Szabo and Ostlund (1989) for more detail. There are parameters for many basis sets in the literature, and many can be simply called up from the GAUSSIAN data base by keywords such as STO-3G, 3-21G, 6-31G, etc. [Pg.247]

The values of the orbital exponents ( s or as) and the GTO-to-CGTO eontraetion eoeffieients needed to implement a partieular basis of the kind deseribed above have been tabulated in several journal artieles and in eomputer data bases (in partieular, in the data base eontained in the book Handbook of Gaussian Basis Sets A. Compendium for Ab initio Moleeular Orbital Caleulations, R. Poirer, R. Kari, and I. G. Csizmadia, Elsevier Seienee Publishing Co., Ine., New York, New York (1985)). [Pg.469]

Each of these tools has advantages and limitations. Ab initio methods involve intensive computation and therefore tend to be limited, for practical reasons of computer time, to smaller atoms, molecules, radicals, and ions. Their CPU time needs usually vary with basis set size (M) as at least M correlated methods require time proportional to at least M because they involve transformation of the atomic-orbital-based two-electron integrals to the molecular orbital basis. As computers continue to advance in power and memory size, and as theoretical methods and algorithms continue to improve, ab initio techniques will be applied to larger and more complex species. When dealing with systems in which qualitatively new electronic environments and/or new bonding types arise, or excited electronic states that are unusual, ab initio methods are essential. Semi-empirical or empirical methods would be of little use on systems whose electronic properties have not been included in the data base used to construct the parameters of such models. [Pg.519]

Several excellent print collections of spectra are available but are beyond the budgets of most col lege libraries Fortunately vast numbers of NMR IR and mass spectra are freely accessible via the Spectral Data Base System (SDBS) maintained by the Japanese National Institute of Advanced Industrial Science and Technology at... [Pg.555]

Mass spectra are reproduced with permis Sion from EPA/NIH Mass Spectral Data Base Supplement I S R Heller and G W A l lne National Bureau of Stan dards 1980... [Pg.1298]


See other pages where Data base is mentioned: [Pg.316]    [Pg.281]    [Pg.349]    [Pg.37]    [Pg.44]    [Pg.53]    [Pg.450]    [Pg.915]    [Pg.2172]    [Pg.2820]    [Pg.214]    [Pg.97]    [Pg.100]    [Pg.109]    [Pg.110]    [Pg.472]    [Pg.244]    [Pg.473]    [Pg.520]   
See also in sourсe #XX -- [ Pg.36 ]

See also in sourсe #XX -- [ Pg.141 , Pg.181 , Pg.283 ]

See also in sourсe #XX -- [ Pg.129 ]

See also in sourсe #XX -- [ Pg.36 ]

See also in sourсe #XX -- [ Pg.533 ]

See also in sourсe #XX -- [ Pg.71 ]




SEARCH



Accessing the World-Wide Web for Data Bases

Acid and Base Data on Binary Oxides

Application of Pharmacophore Fingerprints to Structure-based Design and Data Mining

Applicators data base

Authoritative data bases

Based Data Processing

Bases titration data

Beilstein data base

Biochemical oxygen demand data base

Brookhaven Protein Data Base

CCPS Generic Failure Rate Data Base Taxonomy

CHRIS data base

Calculated Visibility Reduction Based on Atmospheric Data

Cambridge Crystallographic Data Base

Cambridge Data Base

Cambridge structural data base

Charging mechanisms based on the conductivity data

Chemical Abstracts Service data base

Chemical data bases

Chemical data bases production

Chemical reactions, data base

Classical Statistical Analysis of Simulation-Based Experimental Data

Column data bases

Computer software data bases

Computer software data bases Database

Computer software data bases PRINTS

Computer software data bases Subject

Computer software data bases Systems

Computer-based data system

Computerized data bases

DATA BASE AND LIFE PREDICTION

DATA BASE BRIDGE

DATA BASE LINK

Data Based on Pilot Plant Work

Data base Carbon-13 Nuclear Magnetic

Data base Resonance Spectral

Data base Search System

Data base exposure

Data base management system, search

Data base management systems

Data base management systems administrative applications

Data base management systems applications

Data base management systems definition

Data base management systems information retrieval

Data base management systems laboratory applications

Data base management systems selection

Data base parameters

Data base prediction

Data base software, information

Data bases and libraries

Data bases bibliographic

Data bases evaluations

Data bases exposure, general population

Data bases for

Data bases pesticides

Data bases systems

Data bases terrestrial

Data bases water monitoring

Data bases, problems with

Data interpretation knowledge-based system approaches

Data interpretation model-based methods

Data management product-based

Data management reaction-based

Data, time-based

Data-based error estimators

Databases assessed data-bases

Derivation of Internally Consistent Data Bases Using Linear Programming

Derivatives data base

Derwent data base

Drug human risks data base

Electronic data base

Environmental Fate Data Bases

Enzyme—reaction data base

Federal Data Base

Field exposure, worker, data base

Flowchart showing various human risk assessment options for chemical mixtures based on component data

Fragment data base

General data base structure

Generic data base

Generic data base exposure

Generic data base prediction

Hazardous Substance Data Base

Hazardous Substance Data Base HSDB)

IMS data base

Identification data bases

Information System data bases being added

Intelligent data base

Interaction data bases

Interface data base, description

KKF data base

Kinetic Data Base

Loaders data base

MEDLARS Data Bases

Manipulations and NONMEM Data Base Creation

Method data-based

Mixers data base

Model Based on the Rate Equation and Experimental Data

Molecular connectivity indices data base

NMR data base

Names data base

National Drinking Water Contaminant Data Base

National Exposure Survey Data Base

National Exposure Survey Data Base NOES)

Nucleic data base

Ontology-Based Data Access

Optical spectral data bases

Organic structure determination chemical data base

PRODBIB data base

Parameters Based on Turbidity Data

Patent activity data base

Patent data bases

Patent disclosure tracking data base

Peptide data base, fragmentation

Phylogenetic Classification Based on Predominantly (Macro)molecular Data Sets

Physical Properties Data Base

Physiologically based pharmacokinetic data analysis

Plant data base

Polychlorinated biphenyl data base

Polymer Data Base

Process Equipment Data Bases

Property Data Bases

Protein Data Base

Qualification Based on Heritage Data

Qualifiers, data base

Quantitative structure-activity data base system

Quantum Chemistry Literature Data Base

RCSB Protein Data Base

Reaction data bases, information

Reaction rule data base

Reaction rule data base organization

Reactivity Ratios Estimation Based on Copolymer Composition Data

Relational data base management

Relational data base management system

STRATEGY OF DATA-BASED INVESTIGATION

SWISS-PROT sequence data base

Scale-Up Based on Data from Existing Production Plant

Specialized data bases

Spectral Data Base System

Spectral Data Base System Spectrometer

Spectral Data Base System nuclear magnetic resonance

Structure data base

Structure data base interfaces

Structure-based chemical data systems

Structure-based chemical data systems development

Substance data base

Text data bases

The data base

Thermochemical data bases

Thermodynamic data base

Thermodynamics data base

Three-dimensional structural data bases

Transaction file data base

Uncertainty Assignment Based on Number of Available Data

Use of the CCPS Generic Failure Rate Data Base

Vectorization techniques data base implementation

© 2024 chempedia.info