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Trend data, performance information

By monitoring the validation status of the applied analytical procedure, for example, with control charts, reliable information on the long-term behavior of the procedure can be obtained and trends can be detected very early. Transferring in this way data to information to knowledge, the analytical system (or the production process) can be adjusted before problems such as OOS results occur (action instead of reaction). In analogy to equipment qualification, a continuous system is proposed design, operational, and performance validation (three Vs). [Pg.112]

Historical DataBase Subsystem We have discussed the use of on-hne databases. An historical database is built similar to an on-line database. Unlike their on-line counterparts, the information stored in a historical database is not normally accessed directly by other subsystems for process control and monitoring. Periodic reports and longterm trends are generated based on the archived data. The reports are often used for long-term planning and system performance evaluations such as statistical process (quality) control. The trends may be used to detect process drifts or to compare process variations at different times. [Pg.773]

Enhancement of Process Safety Knowledge—The level of performance in this area can be based on analysis of involvement in internal and external research, including CCPS programs and professional and trade association programs (both domestic and international), improved prredictive systems, such as toxicological data and trend information on maintenance failures, and a process safety reference library. [Pg.181]

This is the first time a data base.of this size and degree of comprehensiveness has been compiled on the state of new drug development in any country. We are currently obtaining further information on investigational NCEs, which will include the reasons for termination of clinical research by the firms and full data on licensed compounds. These additional data will clarify some of the trends that have been revealed by the present study, and will allow further analyses to be performed of the reasons behind the observed changes. [Pg.142]

Cons Data quality for HT synthesis and testing (reproducibility, homogeneity, scale-up ability), as shown for this case of metals/mixed oxides WGS and Selox catalysts, remains a drawback for efficient data-mining. As such, even if the trends for new catalytic formulas may still be detected, even in the presence of poorly reproducible systems or outliers, the ultimate target of predicting the quantitative performance of a catalyst after teaching an ANN with experimental data was found to require new catalysts descriptors that would contain more information than the simple elemental composition of the materials. [Pg.263]

For the terrestrial environment, waste sites may act as major emission sources of mixtures. In the United States, the Agency for Toxic Substances and Disease Registry (ATSDR) has performed a trend analysis to identify priority chemical mixtures associated with hazardous waste sites (De Rosa et al. 2001, 2004 Fay 2005). The information was extracted from the Hazardous Substance Release/Health Effects Database (HazDat) (ATSDR 1997). The HazDat contains data from hundreds of hazardous waste sites in the United States. A trend analysis was completed for frequently co-occurring chemicals in binary or ternary combinations found in air, water, and soil at or around hazardous waste sites (Fay and Mumtaz 1996 De Rosa et al. 2001, 2004). Table 1.1 gives an overview of frequently occurring substances at hazardous waste sites in the United States. [Pg.5]


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Information performance

Performance data

Trend data, performance information using

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