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Sugar data

Anon., Sugar and Sweetener Data Tables, Table 1—World Production, Supply and Distribution, Centrifugal Sugar Economic Research Service, USDA, update June 1, 2005 http //www.ers.usda.gov/briefing/Sugar/ Data/data/.htm. [Pg.1692]

Sugar and Sweetener Yearbook, Table 20, US Sugar Deliveries for Human Consumption, Economic Research Service, USDA, updated May 2, 2005, http//www.ers.usda.gov/Briefing/Sugar/Data/data.htm. [Pg.1692]

The growth at osmolalities larger than 33 mosm does not enhance the recovery of bacteria dried in absence of sugar (data not shown). Thus, it is unlikely that L. bulgaricus can accumulate osmolites to face hydric stress in the culture, or that its accumulation is insufficient to protect the bacteria from the stress produced by drying at high temperatures. [Pg.466]

Table 10.6. The residual variance (in percentages of total variance) from test-set validation for the sugar data and for cross-validation for the bread data set. The results are given for X and y. Table 10.6. The residual variance (in percentages of total variance) from test-set validation for the sugar data and for cross-validation for the bread data set. The results are given for X and y.
The sugar data were supplied by Dr Nils Burding at the Bureau of Sugar Experiment Station in Gordon vale. The training sugar data contain 100... [Pg.452]

Fig. 8 Five sample spectra from the sugar data. Fig. 8 Five sample spectra from the sugar data.
Agrevo, main Sugar data fodder beet... [Pg.1304]

Figure 3.2 Total fermentable sugar data and total sugar consumption rate as calculated by the summation of each individual sugar consumption rate. Figure 3.2 Total fermentable sugar data and total sugar consumption rate as calculated by the summation of each individual sugar consumption rate.
FIGURE 17 Sugar data set. Selection of the optimal number of N-PLS components root mean square error in modelling (RMSEC) and in cross-validation (RMSECV) as a function of the number of factors. The black circle indicates the complexity of the final model (six components). [Pg.318]

FIGURE 18 Sugar data set. (A) Emission and (B) excitation weights of the optimal N-PLS model (six components). [Pg.319]

FIGURE 19 Sugar data set. N-PLS weights for the six factors plotted as landscapes. [Pg.321]

FIGURE 20 Sugar data set. Regression coefficients for the optimat N-PLS modet ptotted as tandscapes. [Pg.322]

FIGURE 21 Sugar data set. Ptot of predicted versus reference ash content values for the training ( ) and test ( ) samples. [Pg.322]


See other pages where Sugar data is mentioned: [Pg.215]    [Pg.434]    [Pg.93]    [Pg.947]    [Pg.72]    [Pg.287]    [Pg.153]    [Pg.223]    [Pg.452]    [Pg.434]   
See also in sourсe #XX -- [ Pg.594 ]




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