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The CAMPUS Plastics Database, covering some 40 manufacturers grades of materials, provides data to a standard format in accordance with ISO 10350 [11] and ISO 11403 [12]. It is available from participating manufacturers and through www.campusplastics.com. Singlepoint properties listed include creep modulus after 1 h and 1,000 h and thermal expansion. Multi-point data listed include creep modulus at five temperatures. The CAMPUS website provides addresses and telephone numbers from which data to the agreed format may be obtained, and links to some manufacturers websites directly. [Pg.148]

A common example of a mode error in HIT systems is the use of filters to rationalise lists of data. Lists are commonly employed in user interfaces to create a master-detail workflow the list provides an overview of the available data which is linked to a second screen showing the complete dataset. Where lists have the potential to be long, designers sometimes provide a filter control. However clinicians use lists not just to ascertain what information is available but to establish what is missing. Suppose a system lists the immunisations which have been administered to a particular child. A clinician might scan the list to determine any which have been missed. Of course should a filter be inadvertently applied, wrong assumptions could easily be made. Designers who foresee this hazard will ensure that the presence and... [Pg.72]

Frequently in addition to surface resistivity, the e.s. tenskm devdoped by friction under given conditions, or the half-life period of the charges, usng, e.g., Schwenkhagen s device is measured. The half-life period b linked to the resistivity of the materials by an exponential fimction, as shown by the data listed in... [Pg.110]

We have started to extend the source code of HelenOS kernel with annotations understood by Frama-C [9] and VCC [18]. Initially we have targeted simple kernel data structures (doubly-linked circular lists) and basic locking operations. Currently we are evaluating the initial experiences and we are trjdng to identify the most suitable methodology, but we expect quite promising results. [Pg.86]

Data list of OpenData and Open Geodata (metadata information) organized by hierarchical Category, link to open data websites data section can support transparency... [Pg.177]

MD simulation can also be performed by a linked-cell list that follows a data structure similar to that of the domain decomposition techniques. In particular, the domain is subdivided into smaller subdomain (cells) so that molecules within a subdomain interact only with molecules in the same subdomain and its nearest neighbors. More details on MD simulation can be found in Allen and Tildesley (1987) and Rapaport (2004). [Pg.89]

Make sure to pay a visit to the Agency for Toxic Substances and Disease Registry (ATSDR). You can perform quick searches by clicking onto the first letter of a chemical listed. The web-site address is the following http //atsdr 1.atsdr.cdc.gov 8080/toxfaq.html. This site also provides some links to other sites with chemical specific information and health risk data. [Pg.184]

Linked lists—Data items linked by pointers. In the general form, each item, except the first, has one predecessor, and each item, except the last, has one successor, with pointers linking items to their successors. Doubly linked lists have pointers to both the predecessor and the successor of an item and a circular list has a pointer from the final item to the initial item (producing a predecessor to the initial item and a successor to the final item). Restricted lists also exist, such as stacks, where items may only be added (pushed) or deleted (popped) at one end (the top), and queues, where items must be inserted at one end and deleted from the other. Trees are linked lists in which each item (node) except the root node has one predecessor, but all nodes may have any finite number, or zero, successors graphs contain both nodes and edges, which connect the nodes and define their relationships. [Pg.112]

CAMPUS, the plastics database CAMPUS is an internationally known database software for plastic materials, developed by close cooperation with leading plastics producing companies. It is available worldwide from leading material suppliers. More than 50 plastics producers are participants of CAMPUS. Information about the latest list of participants and distribution addresses can be found at the CAMPUS homepage http //www.CAMPUSplastics.com/. This web site also includes extensive information about the data content of CAMPUS and links to the participants web sites. It is important to emphasize that only CAMPUS participants distribute CAMPUS diskettes. Each plastic producer distributes his own diskette to his customers without charge. [Pg.594]

The list of available data sources associated with a specific concept type (source, concept type, flag security, position in the list of displayed Ultra-Links for that source)... [Pg.738]

Select STOP AND GRAPH from the DATA COLLECTION menu when you have finished with data collection. Draw the graph, or use the TI Graph-Link to make a copy of the graph from the calculator screen. You also will want to copy the data from the STAT list into your data table (or you can print it from a screen print using Graph-Link). [Pg.59]

The /-coordination polyhedra of the chiral zwitterions 81-84 in the crystal were found to be distorted trigonal bipyramids, with the two carbon-linked oxygen atoms in the axial positions. This is illustrated for 81 in Fig. 10. The crystals of 81-84 are built up by pairs of (A)- and (A)-enantiomers. Selected geometric parameters for these compounds are listed in Table XI. As can be seen from these data, the axial Si-O distances [1.749(2)-1.801(4) A] are significantly longer than the equatorial ones [1.683(2)-1.7182(14) A]. The Si-C distances are 1.866(6)-1.897(2) A. [Pg.255]

After the spectral matching process has been completed, the list of compounds with the top matching daughter spectra are identified and retrieved for each daughter spectrum in the reference compound. The molecular structures of the compounds with best matching spectra are drawn and compared for common substructures. The common substructures yield candidate spectrum/substructure correlations. Additional compounds are then tested to confirm or modify each correlation. Once the daughter spectrum is correlated with one or more substructures, this daughter spectrum is stored in the spectrum data base and is linked to the associated substructures stored in the structure data base. [Pg.328]

To Study interactions between proteins and drugs, an available tool is the Drug Absorption, Distribution, Metabolism, and Excretion (ADME) Associated Protein Database (see Table 1.5). The database contains information about relevant proteins, functions, similarities, substrates and hgands, tissue distributions, and other features of targets. Eor the understanding of pharmacokinetic (PK) and pharmacodynamic (PD) features, some available resources are listed in Table 1.5. For example, the Pharmacokinetic and Pharmacodynamic Resources site provides links to relevant software, courses, textbooks, and journals (see Note 5). For quantitative structure-activity relationship (QSAR), the QSAR Datasets site collects data sets that are available in a structural format (see Table 1.5). [Pg.18]

The second approach is the tandem mass spectrometric method (Wilm et ah, 1996 Link et ah, 1999 Yates, 2000). This method relies on fragmentation of individual peptides in the tryptic peptide mixture to gain sequence information. Its main advantage is that sequence information derived from several peptides is much more specific for the identification of a protein than a list of peptide masses. The sequence data can be used to search not only protein sequence databases but also nucleotide databases such as expressed sequence tag (EST) databases and, more recently, even... [Pg.80]


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