Big Chemical Encyclopedia

Chemical substances, components, reactions, process design ...

Articles Figures Tables About

Parameter selection

In the systematic approach, the contaminated signal was processed using transients with parameters selected from a uniformly sampled grid in the parameter space. For each parameter value, the quality of the processed signal was computed. An example result is presented in Figure 2 which shows the performance as a function of the two parameters and / p. The parameter values /, and which yielded the lowest entropy were selected for processing. [Pg.91]

Further, in parameter selection, it is recommended to choose the feature empty syringe before filling with next sample to avoid mixing with the rinsing solvent when the sample is withdrawn from the syringe. Small instrument details incorrectly chosen can falsify the yield calculated later on, or result in loss of costly sample. For application of the whole sample volume, i.e., to minimize the vial dead volume, the needle can be adjusted closer to the bottom of the vial, but special care should be taken with that parameter because wrong adjustment may destroy the needle. [Pg.111]

Xi,, which can be varied. The quantity is then a funetion of these parameters (X, X2,. ..). For eaeh set of parameter values, the corresponding value of (Ai, /I2,. ..) is always greater than or equal to the true ground-state energy Eq. The value of X, X2,. ..) closest to Eq is obtained, therefore, by minimizing with respeet to eaeh of these parameters. Selecting a sufficiently large number of parameters in a well-chosen analytieal form for the trial funetion 0 yields an approximation very close to Eq. [Pg.234]

Assembling a model of a complex system such as Lake Michigan thus becomes a process of parameter selection and modification, using available process rate and equilibrium data, and resorting to intuition where necessary. It is believed, however, that this... [Pg.194]

Bedani, F., Kok, W.Th., Janssen, H.-G. (2006). A theoretical basis for parameter selection and instrument design in comprehensive size-exclusion chromatography x liquid chromatography. J. Chromatogr. A 1133, 126-134. [Pg.144]

In addition to DBT and BT, strain A11-2 could utilize methyl, dimethyl, and trimethyl DBTs as sulfur sources. The desulfurization of asymmetric alkylated DBTs was assessed to understand the sulfur specificity of this organism. It was shown to desulfurize several asymmetric alkyl DBTs up to C3-DBTs. It was shown that the rates of desulfurization depended on not only the position of alkyl substitution but also the number and length of alkyl substitution. An attempt was made to co-relate the data based on a molecular shape parameter. Selectivity of this organism was compared with R. erythropolis KA2-5-1 and, although clear differences were observed, the parameter fitting was not perfect. Two Paenibacillus strains, Paenibacillus sp. A11-1 and All-2, were patented [87] and were deposited as PERM BP-6025 and PERM BP-6026 in 1996 [122,123],... [Pg.86]

At equilibrium the rate of all elementary reaction steps in the forward and reverse directions are equal therefore, this condition provides a check point for studying reaction dynamics. Any postulated mechanism must both satisfy rate data and the overall equilibrium condition. Additionally, for the case of reactions occurring at charged interfaces, the appropriate model of the interface must be selected. A variety of surface complexation models have been used to successfully predict adsorption characteristics when certain assumptions are made and model input parameters selected to give the best model fit (12). One impetus for this work was to establish a self-consistent set of equilibrium and kinetic data in support of a given modeling approach. [Pg.117]

A considerable amount of work has been done on the development of water-ion potential energy functions." " Most of these functions are of the standard Lennard-Jones plus Coulomb form, with parameters selected to give the experimental free energy or enthalpy of solvation. ... [Pg.145]

PREPARATIVE ISOEATION OF IMPURITIES Table 12 Typical prepLC/MS operating parameters, selectivity >I. 5... [Pg.221]

Maximum (maximized) likelihood is a statistical term that refers to the probability of randomly drawing a particular sample from a population, maximized over the possible values of the population parameters. Selected entries from Methods in Enzymology [vol, page(s)] Theory, 210, 203 testing by simulations, 210, 225 computer applications for, 210, 233 fitting of sums of exponentials to dwell-time distributions, 207, 772 fluorescence data analysis, 210,... [Pg.445]

Parameter selection is a crucial process in multiparametric screening and a fiill discussion on the subject is beyond the scope of this chapter. Briefly, parameters are sought that allow best separation between negative control and positive control. The parameters should describe various aspects of the phenotype and should therefore not be too much correlated to each other. Furthermore, the parameters should be robust. [Pg.115]

It is a long and frustrating process to adjust a controller to an evaporation source, requiring several minutes for stabilization and hours to obtain satisfactory results. Often the parameters selected for a certain rate are not suitable for an altered rate. Thus, a controller should ideally adjust itself, as the new controllers in INFICON coating measuring units do. At the beginning of installation and connection the user has the unit measure the characteristics of the evaporation source. Either a PID controller is used as the basis for slow sources or another type of controller for fast sources without significant dead time. [Pg.130]

From a technical point of view, intensity-modulated radiation therapy (IMRT) optimizes several parameters selection of multiple beams and, for each beam, optimization of dose, dose rate, size and shape, etc. Tomotherapy optimizes the dose distribution by IMRT in successive sections with immediate verification gamma knife, cyberknife, and radiosurgery concentrate high radiation doses in well-defined small volumes. [Pg.746]

In order to be exploitable for extraction and purification of proteins/enzymes, RMs should exhibit two characteristic features. First, they should be capable of solubilizing proteins selectively. This protein uptake is referred to as forward extraction. Second, they should be able to release these proteins into aqueous phase so that a quantitative recovery of the purified protein can be obtained, which is referred to as back extraction. A schematic representation of protein solubilization in RMs from aqueous phase is shown in Fig. 2. In a number of recent publications, extraction and purification of proteins (both forward and back extraction) has been demonstrated using various reverse micellar systems [44,46-48]. In Table 2, exclusively various enzymes/proteins that are extracted using RMs as well as the stability and conformational studies of various enzymes in RMs are summarized. The studies revealed that the extraction process is generally controlled by various factors such as concentration and type of surfactant, pH and ionic strength of the aqueous phase, concentration and type of CO-surfactants, salts, charge of the protein, temperature, water content, size and shape of reverse micelles, etc. By manipulating these parameters selective sepa-... [Pg.129]

Presently, no information will be displayed on the schematic about this parameter. Select the Name and Value option and then click the OK button to return to the schematic ... [Pg.210]

The parameters selected should be appropriate for the process, in those cases where the manufacturing process has been controlled and validated as specified in the foregoing discussion, batch scale-up, changes in site of manufacture, allowance for equipment change (where the operating principle is the same), minor formulation changes, etc., should be determined on the basis of the comparability of both the blend/granulation and the final product as assured by (1) appropriate tests, (2) specifications, (3) process validation, and (4) comparative accelerated stability . [Pg.307]

The chromatographer is always a prisoner of a triangle whose apexes correspond to resolution, speed and capacity - three parameters that are in conflict (see Fig. 1.11). An optimised analytical separation uses the potential of the most efficient parameter selectivity. Thus, in this triangle, the optimised conditions are close to the apex corresponding to resolution. [Pg.20]

High-voltage spade interrupted auxiliary gap 15-40,000 3-20 RF Least sensitive, most precise, 1% or better. Excites higher energy lines. Parameter selection allows variations between arc-like and spark-like in spectral excitation. [Pg.1153]

Mulhsouive 1000 Peak discharge currents from 5 to in excess of 500 A at time constants ranging from 8 to less than 1 ms. Sensitive and precise. Parameter selection allows wide variety of controlled unidirectional and oscillatory charges variable from arc-like 10 spark like in spectral excitation. [Pg.1153]

TaFs > SbFs > BF3 > TiF4 > HfF4 HF Reactions/rates parameter selectivity 52... [Pg.25]


See other pages where Parameter selection is mentioned: [Pg.1520]    [Pg.379]    [Pg.24]    [Pg.26]    [Pg.357]    [Pg.469]    [Pg.119]    [Pg.1091]    [Pg.125]    [Pg.157]    [Pg.90]    [Pg.365]    [Pg.70]    [Pg.418]    [Pg.197]    [Pg.429]    [Pg.39]    [Pg.141]    [Pg.115]    [Pg.117]    [Pg.285]    [Pg.149]    [Pg.330]    [Pg.251]    [Pg.197]    [Pg.379]    [Pg.205]    [Pg.34]   
See also in sourсe #XX -- [ Pg.71 ]




SEARCH



Analytical performance parameters Selectivity

Chiral selectivity parameters determining

Critical Packing Parameter (CPP) for Emulsifier Selection

Degree of Freedom Selection State Variables, Order Parameters and Configurational Coordinates

Direct solvent selection parameter

Efficient Strategies for Lead Optimization by Simultaneously Addressing Affinity, Selectivity and Pharmacokinetic Parameters

Experimental design—compound and parameter selection

Free-energy selectivity parameter

Geometric parameters of selected

Guidewords, Selection of Parameters and Deviations

Hansen solubility parameters (HSP) for selected solvents

Isotherm parameters of selected surfactants

Kinetic parameters selective catalytic

L-curve method of regularization parameter selection

Manual Parameter Selection

Membrane filtration selecting parameter

Modulation parameters selection

Mossbauer selected parameters

Optimal regularization parameter selection

Other important design parameters for sensitivity and selectivity - polymer 1 as a model

PARAMETERS AFFECTING SELECTIVITY

PARAMETERS AFFECTING SELECTIVITY IN PROGRAMMED ANALYSIS

Parameters, selectivity

Parameters, values, selected

Parameters, values, selected acidic

Parameters, values, selected basic

Parameters, values, selected equilibrium-based

Probing Structural and Electronic Parameters in Randomly Oriented Metalloproteins by Orientation-Selective ENDOR Spectroscopy

Process parameters methanol formation selectivity

Process parameters methanol selectivity

Reproducibility parameter selection

Selected ESR Parameters

Selecting Solvents Solubility Parameter

Selection of Experimental Parameters

Selection of Optimal Sampling Interval and Initial State for Precise Parameter Estimation

Selection of design parameters

Selection of operating parameters

Selectivity kinetic parameter estimation

Selectivity optimization parameter space

Solubility Parameters of Selected Polymers

Solvent selection solution parameter

Sorbent selection parameter

Stationary phase selectivity parameter

Steric selectivity parameter

Ultrasound parameters selection

Which Variables Should Be Selected as Adaptive Parameters

© 2024 chempedia.info