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Blind tests

Classifier structures resulting from the training were verified in a blind test. To evaluate the reliability and performance of the NSC it was subjected to a blind test using unknown data containing spectra measured for various sizes and locations of the disbonds (from 50% to over 100% of the probe size). [Pg.109]

Table 1 Blind test results for "Lower wing skin" using network with 2 hidden nodes and training for 2000 iterations... Table 1 Blind test results for "Lower wing skin" using network with 2 hidden nodes and training for 2000 iterations...
Blind test data was classified 100% correctly between flawless and defect samples. Layer containing flaw was determined correctly in 97.2% of the cases (see Table 2 for details). [Pg.111]

Table 2 Blind test results (54 spectra) using final networks obtainedfrom training set TS I. Table 2 Blind test results (54 spectra) using final networks obtainedfrom training set TS I.
The gap between laboratory wear testing and industrial appHcation trials is extremely difficult to bridge, since there is often Httie or no control over testing in the industrial environment. Despite these limitations, several examples of industrial successes involving ion implanted tools have been reported and blind tests of nitrogen-implanted machine tools have been performed, including tool taps, dies, punches, and TiN coated WC cutting inserts (106). [Pg.398]

Table 8.5 Blind test of aspartic acid calibration data on teeth extracted from living individuals. Table 8.5 Blind test of aspartic acid calibration data on teeth extracted from living individuals.
Hondeghem, L.M. and Hoffmann, P. (2003) Blinded test in isolated female rabbit heart reliably identifies action potential duration prolongation and proarrhythmic drugs importance of triangulation, reverse use dependence, and instability. Journal of Cardiovascular Pharmacology, 41, 14—24. [Pg.86]

The results of a blind test over a region with 60 m of transported cover indicate that BLEG Au, and Na-pyrophosphate Sb/C and As/C provide a good indication of mineralised bedrock at depth. [Pg.5]

Double-blind test—Test in which neither the subjects nor the researchers know who is getting the new drug and who is getting the placebo or control drug. [Pg.153]

The most frequently used tests in quality control in the flavour industry are paired-sample comparison tests, and triangle tests, which are often combined with the description of deviation from a reference item. For the selection and training of panellists, further test methods are used, for example ranking tests for colour, taste and odour, threshold detections (taste, off-flavour), colour blindness tests and odour identification tests [6]. [Pg.307]

Kwon, P. H., Jr., Rorick, M. H. and Scrimshaw, N. S. 1980. Comparative tolerance of adolescents of differing ethnic background to lactose-containing and lactose-free dairy drinks. II. Improvement of a double-blind test. Am. J. Clin. Nutr. 33, 22-26. [Pg.400]

Fig. 11.1. Blind test for the COSMO-RS relative solubility prediction of commercial drugs from Merck Co., Inc. [119] All values are calibrated against the experimental solubility in ethanol. The 14 solvents are water, 1-propanol, 2-propanol, dimethylformamide, ethyl acetate, methanol, heptane, toluene, chlorobenzene, acetone, ethanol, acetonitrile, triethylamine, and 1-butanol. Fig. 11.1. Blind test for the COSMO-RS relative solubility prediction of commercial drugs from Merck Co., Inc. [119] All values are calibrated against the experimental solubility in ethanol. The 14 solvents are water, 1-propanol, 2-propanol, dimethylformamide, ethyl acetate, methanol, heptane, toluene, chlorobenzene, acetone, ethanol, acetonitrile, triethylamine, and 1-butanol.
The state of the art in crystal structure calculation is tested every few years in the crystal structure prediction blind tests organised by the Cambridge Crystallographic Data Centre (CCDC). As of the... [Pg.538]

This chapter will focus on our procedures that have evolved over a period of about 20 years. Excellent reviews of the state-of-the-art in organic structure prediction are available from two blind test investigations hosted in 1999 and 2001 by the Cambridge Crystallographic Data Center and a recent dissertation [12]. [Pg.188]

Several examples of the MOLPAK + WMIN structure prediction procedures are given in the next sections. The problem of identifying the correct crystal structure from literally thousands of possible structures remains. The which is the best/correct solution was an important topic during the 1999 and 2001 CCDC sponsored blind tests [12]. Calculated lattice energies are adequate in many cases, but in others small lattice energy differences make it difficult to separate the wheat from the chaff. Other criteria, such as good or bad patterns of intermolecular contacts in comparison with known crystal structures could be helpful. [Pg.199]

Double-blind tests - these are conducted under conditions where neither the recipient nor the person giving out the drug knows whether the medication is the test material or a placebo. [Pg.208]


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Blind

Blind Tests of Crystal Structure Prediction

Blind flange test

Blind testing

Blind tests success rates

Blind tests target molecules

Blinding

Cambridge Crystallographic Data Centre blind tests

Cambridge Crystallographic Data Centre crystal structure prediction blind tests

Crystal blind tests

Crystal structure prediction CCDC blind tests

Crystal structure prediction blind tests

Double-blind test

Double-blind test design

Functional investigations Blind” tests

Structure prediction blind tests

The Blind Tests

The CCDC Blind Tests

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