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Construction and validation

Our search procedures represent a departure from the above type of paradigm. Rather than simply accepting and implementing a decision policy found by DUg, that optimizes an overall measure of performance, the infimal subsystems and corresponding plant personnel play an active role in the construction and validation of solutions. One tries to build a consensus decision policy, Xpp, validated by all subsystems, DU , k = I,..., K, as well as by the whole plant, DUg, and only when that consensus has been reached does one move toward implementation. Within this context, the upper-level decision unit, DUg, assumes a eoordination role. [Pg.143]

The managing engineers will lead procurement, construction, and validation to compliance the established and ruling norms, up to the start up of the plant. [Pg.261]

Given the inherent limits of a purely computational approach to obtain an estimate of the flux distribution of a metabolic system, an experimental determination of metabolic fluxes is paramount to the construction and validation... [Pg.157]

An automated H-Cube platform was designed, constructed and validated by Clapham et al. [26], to perform deprotection reactions and produce compound libraries. This special instrument includes 48 starting material vials for automated injection into the flow reactor. In producing the Cbz deprotected library, complete conversions and a 93% average crude yield were obtained over Pd/C catalyst at 60°C using full hydrogen mode. For the second library, 4-benzyloxy benzoic acid was coupled with a series of amides. The deprotection performed in H-Cube resulted in eomplete conversions to the products and 88% average crude yield. [Pg.402]

There are many results to be reviewed because there are multiple classes for which SIMCA models are constructed and validated. The order in which to examine the results is a matter of preference, and many approaches are equally appropriate. We will review one SIMCA model at a time, and examine the test set predictions for that one model against samples from all classes. Ideal performance of a SIMCA model means that it includes as part of the class those samples that truly belong to the class and excludes those samples that are from all of the other classes. In reality, a number of classification scenarios are possible. Table A. 18 lists the possibilities along with possible root causes for misclassified test samples. [Pg.80]

The PCA results for the two individual classes are examined first. The PCA of the entire training set is performed in PCA Example 2 in Section 4.2.2.2. In the current PCA analysis, the nmks and boundaries are chosen and then the SIMCA models are constructed and validated. [Pg.88]

After examining tiie training set classes with PCA, the next step is to construct and validate the SIMCA models. Ideally, tlie SIMCA models are constructed using the training set and validated using a completely separate test set. Tliis separate test set is usually not available and therefore it is necessary to use a cross-validation scheme. There are many procedures for splitting the data set and a few are discussed below. Keep in mind that the training set must be carefully... [Pg.257]

The conclusion of the unsupervised PCA analysis was that there was enough selectivity to distinguish between compounds based on functional groups. However, it was unclear whether the se array could distinguish between compounds with the same chemical functionaltty. SIMCA models for 2 of the 10 compounds, triethylamine (TEA) and methylethylketone (MEK), are constructed and validated against the entire data set containing all 10 classes of compounds. [Pg.266]

Owens J, Nobile C, McGuinn M, Spirito A (2000) The children s sleep habits questionnaire construction and validation of a sleep survey for school-aged children. Sleep 23 1043-1051... [Pg.150]

BruniO, Ottaviano S, Guidetti MR, Innocenzi M, Cortesi F, Giannotti F (1996) The sleep disturbance scale for children construction and validation of an instrument to evaluate sleep disturbance in childhood and adolescence. J Sleep Res 5 251-261... [Pg.150]

Fig. 5.2 Flowchart of a typical PrCen pseudoreceptor model construction and validation approach. Fig. 5.2 Flowchart of a typical PrCen pseudoreceptor model construction and validation approach.
Quality QSAR can only be constructed and validated with quality data, but quality in a QSAR is more than a high coefficient of determination. Transparency has several different meanings as it... [Pg.271]

For the previously established azophenolic crown ether extractant a predictive single stage equilibrium model (Figure 1) was constructed and validated [14]. The extent of extraction is characterised by the distribution ratios Dr and Ds for each enantiomer ... [Pg.62]

Fig. 9.3 Nine milestones (M1-M9) for the construction and validation of the kinome-wide dehydron library as a resource to guide drug design... Fig. 9.3 Nine milestones (M1-M9) for the construction and validation of the kinome-wide dehydron library as a resource to guide drug design...
Construction and Validation of the Three a,-Adrenergic Receptor Subtype KOs... [Pg.209]

Time-Course Concentration Data To construct and validate a PBPK model, consistent in vivo pharmacokinetic data detailing blood and tissue time-course concentrations are essential. These data should include at least the following tissues and organs blood (or plasma if blood-cell binding is not an issue), liver... [Pg.41]

Motte P, VauzeUe P, Gardet P, Ghfllani P, Cafllou B, Parmentier C, et al. Construction and validation of a sensitive and specific assay for serum mature calcitonin using monoclonal antipeptide antibodies. Clin Chim Acta 1988 174 35-54. [Pg.1957]

Antil, J.H. and Bennett, P. (1979) Construction and validation of a scale to measure socially responsible consumption behavior. In Henion, K. and Kinnear, T. (eds) The Conserver Society. American Marketing Association, Chicago, pp. 51-68. [Pg.86]

However, realization of these potential benefits has seldom been achieved in an economically viable manner. Commercial applications of the biotechnology of plant cell culture historically have been concerned primarily with the production of high-value secondary metabolites. This aspect of plant biotechnology is not only complex from a science and engineering standpoint, but also a very costly business expensive in terms of the necessary investment in research and development personnel, facilities, and clinical trials, in addition to the capital costs required to construct and validate the complex manufacturing equipment and supporting infrastructure necessary to meet the cGMP standards and EDA requirements. [Pg.507]

Volatile species of a glass batch are a well-known. The raw materials of the batch, the heating cycle and several other factors affect the species that are emitted and the rate at which they are emitted. Borates are some of the more volatile components in glass batch. The ability to measure boron volatility in a lab setting is not widespread. For this work, a system to collect and analyze volatile emissions was constructed and validated (Figure 4). [Pg.70]

In building a PN-based system model for hazard analysis, the component models should be constructed and validated first and then connected in sequence from top to bottom level according to the piping and instrumentation diagram. The connection between two adjacent component models can be described with Fig. 10. Basically, the output conditions and, in some cases, the equipment states of a downstream component are controlled by the output conditions of an up-stream component. However, if the equipment states of a third-level component are time-variant, the transient behaviors of these states may also be affected by its operation mode, which is uniquely defined by the equipment states of one or more level-2 component. [Pg.440]

Yang, K.L. Lai, C.H. and Wang, J.L. Construction and validation of an automated spray-and-trap gas chromatograph for the determination of volatile organic compounds in aqueous samples. Journal of Chromatography A 2004,1027 (1-2), 41-48. [Pg.665]

Ritchie, M.R., Cummings, J.H., Morton, M.S., Michael, Steel, C., Bolton-Smith, C., and Riches, A.C. 2006. A newly constructed and validated isoflavone database for the assessment of total genistein and daidzein intake. BrJNutr 95, 204-213. [Pg.637]

Barres C, Leblanc JL (2000) Recent developments in shear rheometry of uncured rubber compounds. I. Design, construction and validation of a sliding cylinder rheometer. Polym... [Pg.299]

Ellison CA, Knaak, JB, McDougall R, Lein PJ, Farahat FM, Anger WK, Olson JR (2011) Construction and validation of a human PBPK/PD model for dermal chlorpyrifos exposure utilizing human biomarker data. Abstract No. 2106, 50th Annual Meeting and ToxExpos, Washington, DC, March 6-10. [Pg.102]


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Construct validation

Construct validity

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