Number data types

Instrumentation number, type, location model numbers, software versions tag numbers, data types, valid range... 

Metatables The metatable defines the mapping from each data source to a set of simple tables (i.e., metatables). The metatable column data types consist of the common database types along with extended types for chemical structures, qualified numbers, and images (e.g., concentration response curves). A qualified number type consists of a basic number along with an optional qualifier (e.g., >) and statistics for summarized values. Results are often reported with qualifiers and/or as summarized values. The use of the qualified number data type can reduce the number of columns that are present in the user interface by up to 75%, thus reducing clutter. 

Large data sets such as screening data or results obtained by combinatorial experiments are made up of a large number of data records. Hence a data record may represent a chemical reaction or substance, for example its corresponding variables will define the corresponding reaction conditions or biological activities. Depending on the dimensionality or data type of the information, one-, two-, multidimensional, or specific data types can be identified. 

Many databases can be classified in multiple ways because of multiple type data, eg, text and numeric data, text and image data, image and audio data, etc. Also included in the data presented in Table 1 are two additional classes of databases, electronic services and software. Both of these data types could also be classed by form of representation because of use of words and numbers. However, the way in which these databases are used is different and they have special characteristics. Thus they are presented as additional classes. Whereas electronic information services such as bulletin boards, electronic mail, and electronic conferencing contain data that are transitory and nonarchival, these must be included among databases because several of the principal vendors seU these services in the same way as database search services are sold. 

Number and type of record The number of data points or tables of data presented in the resource or the number of events the data set reflects where available, the form in which the data are presented, such as failure rates or availability data, confidence intervals or error factors the raw data source used, sueh as surveys, plant records, tests, or judgment. 

To help the reader select the appropriate data resource, an index precedes Sections 4.3 through 4.8. The index provides the source number within the section and the following set of data elements for each source title, industry, number and type of records, and data boundary. Appendix C contains additional information about the data elements presented in each data resource. It can also be used to help identify the resources which may provide data for a CPQRA. A discussion of the Appendix C Matrix and an explanation of data elements indexed is presented. After examining Appendix C and the pattern of data elements contained in the data resources, it is evident that equipment reliability data have been published in a variety of formats, often without any apparent effort to conform to a recognized standard for data specification. The CCPS Taxonomy and the raw data collection requirements in Chapter 6 present the basis for reliability data specification in future literature. 

NUMBER AND TYPE OF RECORDS Failure rate data from public domain sources... 

NUMBER AND TYPE OF RECORDS 72 papers, several of which contain some data. 

NUMBER AND TYPE OF RECORDS Data on frequency and cause of pipeline... 

NUMBER AND TYPE OF RECORDS 1800 component failure events causing abnormal operation engineering data for 20,000 components found in liquid metal reactors J j j LMB j Gives 2 R i . d3ta or 4 je2uljDment item ... 

NUMBER AND TYPE OF RECORDS Engineering data from all U.S. NPP... 

NUMBER AND TYPE OF RECORDS System and equipment failure data from 2,600... 

NUMBER AND TYPE OF RECORDS Over 100 data sheets, containing failure... 

NUMBER AND TYPE OF RECORDS Generic data set based on plant and industry... 

NUMBER AND TYPE OF RECORDS Plant-specific data from failure records,... 

Computer applications allow for defining and managing several important nonclinical data types that are managed by the system itself. Such data are referred to as metadata or control data. These are information such as domain-specific descriptions, application conditions, parameters, and methods in a repository. Control data fields can be part of the data collection forms or in system-defined tables. Some of these control fields include electronic signatures, form status, transmission date, transmission number, field completed, and memo fields (large text format). The database contains tables for reference ranges, visit schedule, form schedule, labels, and drug codes. 

If the estimated best set of interaction parameters is found to be different for each type of data then it is rather meaningless to correlate the entire database simultaneously. One may proceed, however, to find the parameter set that correlates the maximum number of data types. 

Cyclophosphazenes are a fascinating group of inorganic heterocyclic compounds whose chemistry is multi-faceted, well developed and reasonably well understood. They are closely related to the linear poly-phosphazenes this relationship is unlike any other existing between ring-polymer systems. Although cyclic siloxanes and polysiloxanes have a close interrelationship, the number and types of cyclophospha-zene derivatives that are known, together with their exact counterparts in polyphosphazenes, underscore the utility of cyclophosphazenes as models for the more complex polyphosphazenes. The literature on cyclophosphazenes has appeared earlier in the form of books (1,2), chapters of books (3-5), authoritative compilations of data (6,7), and several reviews (8-21). The current literature on this subject is reported annually in the Specialist Periodic Reports published by the Royal Society of chemistry (22). This review deals mostly with chlorocyclo-... 

The chemical bonding and the possible existence of non-nuclear maxima (NNM) in the EDDs of simple metals has recently been much debated [13,27-31]. The question of NNM in simple metals is a diverse topic, and the research on the topic has basically addressed three issues. First, what are the topological features of simple metals This question is interesting from a purely mathematical point of view because the number and types of critical points in the EDD have to satisfy the constraints of the crystal symmetry [32], In the case of the hexagonal-close-packed (hep) structure, a critical point network has not yet been theoretically established [28]. The second topic of interest is that if NNM exist in metals what do they mean, and are they important for the physical properties of the material The third and most heavily debated issue is about numerical methods used in the experimental determination of EDDs from Bragg X-ray diffraction data. It is in this respect that the presence of NNM in metals has been intimately tied to the reliability of MEM densities. 

The basic intent behind any EXAFS data analysis is to be able to extract information related to interatomic distances, numbers, and types of backscattering neighbors. In order to accomplish this, there are a number of steps involved in the data analysis, and these include ... 

One method of data presentation which is in widespread use is the control chart. A number of types of chart are used but where chemical data are concerned the most common types used are Shewhart charts and cusum charts. Only these types are discussed here. The charts can also be used to monitor the performance of analytical methods in analytical laboratories. 

The concept of the molecular connectivity index (originally called branching index) was introduced by Randic [266]. The information used in the calculation of molecular connectivity indices is the number and type of atoms and bonds as well as the numbers of total and valence electrons [176,178,181,267,268]. These data are readily available for all compounds, synthetic or hypothetical, from their structural formulas. All molecular connectivity indices are calculated only for the non-hydrogen part of the molecule [269-271]. Each non-hydrogen atom is described by its atomic 6 value, which is equal to the number of adjacent nonhydrogen atoms. For example, the first-order Oy) molecular connectivity index is calculated from the atomic S values using Eq. (38) ... 

Over each interval to the true time function is now approximated by some polynomial approximating functions A number of types can be used, but the simplest is a first-order approximation. This corresponds to using a straight line between the data points. 

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