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Data normalization

Equation 11.1 is shows how temperature, in terms of the temperature correction factor, TCP pressure, P and concentration, as osmotic pressure, 11, are used to normalize product flow rate.  [Pg.288]

AP = pressure drop from feed inlet to concentrate effluent P = permeate pressure [Pg.288]

AH n = difference between the osmotic pressure on the membrane feed and permeate sides [Pg.288]

TFC = temperature correction factor (membrane and manufacturer dependent) [Pg.288]

In practice, data normalization is calculated using a spreadsheet or other of computer program. The best programs are integrated into a package that includes the hardware to actually capture the raw data. This eliminates the need to manually enter data. In general, systems that require manual data entry do not stand up to the test of time operators will usually cease manually entering data within the first couple of months after start-up, and they are left with only observed data with which to analyze performance. As [Pg.288]


Data integrity checking, data selection, data normalization and storage... [Pg.659]

Data Normalization Since the general trend for every set of numbers is obviously similar, a simple normalization was applied for each plate, the mean over all height measurements at 5 jal/spot was set equal to 100%, yield-... [Pg.181]

Figure 6. An example of the use of to assess the growth rate of Mn nodules taken from Krishnaswami et al. (1982). Both panels show the same °Thxs data from nodule RN Vitiaz from the Southern Indian Oeean. Errors on the activities are within symbol size. The lower panel shows the hxs activity, while the upper panel shows the same data normalized to the Th activity. Note that both profiles show a general exponential decrease which can be used to assess the growth rate using the relationship that °Thxs ° = 230j jj imtiai g-X23ot showu ou both panels are for a steady growth rate of 1.15 mmMyr. Figure 6. An example of the use of to assess the growth rate of Mn nodules taken from Krishnaswami et al. (1982). Both panels show the same °Thxs data from nodule RN Vitiaz from the Southern Indian Oeean. Errors on the activities are within symbol size. The lower panel shows the hxs activity, while the upper panel shows the same data normalized to the Th activity. Note that both profiles show a general exponential decrease which can be used to assess the growth rate using the relationship that °Thxs ° = 230j jj imtiai g-X23ot showu ou both panels are for a steady growth rate of 1.15 mmMyr.
Seed germination bioassay of root exudates. Bioassay results are presented as a 23 week mean for each germination count time (Table III, IV, V, VI). Means were separated by LSD after data normalization by the inverse sine transformation. [Pg.227]

Major questions that arise whenever a pesticide exposure evaluation is completed are how good are the data and how close to the real answer have we gotten For most commercially sold insecticides, there are no appreciable pharmacokinetic data in human systems, although some data normally exist for animal models. Because such pharmacokinetic data do not exist for most active insecticides, passive dosimetry measurements must be used to estimate the exposure and eventually dose. Once such passive dosimetry data exist, certain assumptions must be made to arrive at an estimate of dose. [Pg.50]

Onishi K., Ueyama T., et al. Application of crosswell seismic tomography using difference analysis with data normalization to monitor C02 flooding in an aquifer. 2009 International Journal of Greenhouse Gas Control 3 311-321. [Pg.176]

Quackenbush, J. (2002). Microarray data normalization and transformation. Nat. Genet. 32 (Suppl.), 496-501. [Pg.234]

To highlight and explain the quantitative chemical differences between the pitches found in the two archaeological sites, a chemometric evaluation of the GC/MS data (normalized peak areas) by means of principal component analysis (PCA) was performed. The PCA scatter plot of the first two principal components (Figure 8.6) highlights that the samples from Pisa and Fayum are almost completely separated into two clusters and that samples from Fayum form a relatively compact cluster, while the Pisa samples are... [Pg.221]

Figure 5. Comparison of prediction (4) with numerical data. Normal diffusion ( ). The ballistic motion ( ). Superdiffusion ID Ehrenfest gas channel (Li et al, 2005)(v) the rational triangle channel (Li et al, 2003) (empty box) the polygonal billiard channel with (i = (V > — 1)7t/4), and 2 = 7r/3 (Alonso et al, 2002)(A) the triangle-square channel gas(Li et al, 2005) (<>) / values are obtained from system size L e [192, 384] for all channels except Ehrenfest channel (Li et al, 2005). The FPU lattice model at high temperature regime (Li et al, 2005) ( ), and the single walled nanotubes at room temperature ( ). Subdiffusion model from Ref. (Alonso et al, 2002) (solid left triangle). The solid curve is f3 = 2 — 2/a. Figure 5. Comparison of prediction (4) with numerical data. Normal diffusion ( ). The ballistic motion ( ). Superdiffusion ID Ehrenfest gas channel (Li et al, 2005)(v) the rational triangle channel (Li et al, 2003) (empty box) the polygonal billiard channel with (<j>i = (V > — 1)7t/4), and <f>2 = 7r/3 (Alonso et al, 2002)(A) the triangle-square channel gas(Li et al, 2005) (<>) / values are obtained from system size L e [192, 384] for all channels except Ehrenfest channel (Li et al, 2005). The FPU lattice model at high temperature regime (Li et al, 2005) ( ), and the single walled nanotubes at room temperature ( ). Subdiffusion model from Ref. (Alonso et al, 2002) (solid left triangle). The solid curve is f3 = 2 — 2/a.
Here, E(t) comes from the response data normalized according to equation 19.34 (with C(f) = (r))qnd using the result of equation 19.3-21. The tail in this case refers to the normalized response data in the form of E(t), but the form and slope -a remain the same. The integral in equation 19.3-22 may be evaluated analytically using integration... [Pg.469]

Figure 8 Photoelectron diffraction data (normal emission) for the surface formate species on (a) Cu 100] and (b) Cu 110). Insets A) The aligned atop site and B) the aligned bridge site. After [51. Figure 8 Photoelectron diffraction data (normal emission) for the surface formate species on (a) Cu 100] and (b) Cu 110). Insets A) The aligned atop site and B) the aligned bridge site. After [51.
Traditional data modeling would use data normalization to define a relationship between Client and Date and describe balanceDue as a relationship attribute parameterized attributes avoid the need for such data normalization and result in simpler models and more-natural specifications. [Pg.85]

Figure 9.9 REE abundances from archaeological glass, showing the effect of chondrite normalization, (a) shows the raw abundances of the REE measured on a set of English medieval window glasses, with the saw-tooth pattern evident, and little indication of differences between any of the samples (apart from perhaps one which has lower overall REE concentrations), (b) shows the same data normalized to the chondrite data (Table 9.1). The saw-tooth has largely disappeared, and close inspection suggests that two samples have a positive europium anomaly, possibly indicating a different geographical origin. Figure 9.9 REE abundances from archaeological glass, showing the effect of chondrite normalization, (a) shows the raw abundances of the REE measured on a set of English medieval window glasses, with the saw-tooth pattern evident, and little indication of differences between any of the samples (apart from perhaps one which has lower overall REE concentrations), (b) shows the same data normalized to the chondrite data (Table 9.1). The saw-tooth has largely disappeared, and close inspection suggests that two samples have a positive europium anomaly, possibly indicating a different geographical origin.
The various techniques by which one may effectively treat the scientific data normally obtained in actual analytical procedures are enumerated below ... [Pg.77]

The output of the sensors is transmitted to a data center in the plant, which stores the data. Normally the data are transmitted to the central diagnostic center at least once per day, and the diagnosis is returned to the data center for display. The... [Pg.57]

To help reduce these Influences, various data normalization techniques may be applied. Analysis of deposition (concentration times volume) rather than concentration alone may help avoid variability associated with precipitation amount. Another approach which was previously applied to aerosol measurements In Sweden ( )... [Pg.35]

The samples were excited at 549 nm and the resultant fluorescence emission spectra were digitized. The emission spectra of i-2 differed only in relative intensity. A direct comparison between the integrated and normalized fluorescence spectra of i-2 was made with that of ZnTPP. The data normalized to the known fluorescence quantum yield of ZnTPP(ii) are listed in Table II. Fluorescence lifetimes were determined on 10 M solutions of... [Pg.155]

A further advancement comes from inter-laboratory comparison of two standards having different isotopic composition that can be used for a normalization procedure correcting for all proportional errors due to mass spechomehy and to sample preparation. Ideally, the two standard samples should have isotope raUos as different as possible, but still within the range of natural variations. There are, however, some problems connected with data normalization, which are still under debate. For example, the CO2 equilibration of waters and the acid extraction of CO2 from carbonates are indirect analytical procedures, involving temperature-dependent fractionation factors (whose values are not beyond experimental uncertainties) with respect to the original samples and which might be re-evaluated on the normalized scale. [Pg.30]

XRF elemental data normalized to the nine-atom Ge9 Si cluster Cumulative pore volume at P/Pq = 0.95... [Pg.144]

As mentioned in sections 1.2.2.2 and 1.2.3.2, the photochromic reactions of spirobenzopyran and spironaphthoxazines show a marked solvent dependency and this is also the case with benzo and naphthopyrans. Consequently, spectral data collected from the literature is only comparable within any one study or where the same solvent has been used. This accounts for any discrepancies between one set of results and any other one listed in this and related sections of this chapter. The data normally quoted when discussing the properties of photochromic materials relate to the absorption maximum (2. ) of the coloured state, the change in optical density (absorbance) on exposure to the xenon light source (AOD) and the fade rate which is the time in seconds for the AOD to return to half of its equilibrium value. [Pg.17]

Autio R et al (2009) Comparison of Affymetrix data normalization methods using 6,926 experiments across five array generations. BMC Bioinformatics 10(Suppl 1) S24. doi 1471-2105-10-Sl-S24 (pii)10.1186/1471-2105-10-Sl-S24... [Pg.472]

Figures 5, 6 and 7 represent various computer simulations pertaining to the FDCS for electrons emitted into the scattering plane in 3.6 MeV amu Au24+,53+ i jjg collisions. The experimental results are absolute with the theoretical data normalized to them. The results are shown in the form of polar plots with the FDCS plotted as polar radial functions of the scattering (polar) angle. The figures contain six different models, each of which has been labelled for discussion. The top left (a) is FBA, top middle (b) is CDW-EfS, without internuclear potential, top right (c) CDW-EfS+nn. The bottom left (d) is CDW-EfS with RffF wavefunctions (CDW-EfS+RHF),... Figures 5, 6 and 7 represent various computer simulations pertaining to the FDCS for electrons emitted into the scattering plane in 3.6 MeV amu Au24+,53+ i jjg collisions. The experimental results are absolute with the theoretical data normalized to them. The results are shown in the form of polar plots with the FDCS plotted as polar radial functions of the scattering (polar) angle. The figures contain six different models, each of which has been labelled for discussion. The top left (a) is FBA, top middle (b) is CDW-EfS, without internuclear potential, top right (c) CDW-EfS+nn. The bottom left (d) is CDW-EfS with RffF wavefunctions (CDW-EfS+RHF),...

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See also in sourсe #XX -- [ Pg.239 , Pg.240 , Pg.366 ]

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