Big Chemical Encyclopedia

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

Articles Figures Tables About

Indicators selection criteria

The insufficiency of a single physiological selection criterion for drought resistance has been indicated repeatedly. The most urgent problem in breeding for drought resistance is the construction of a multiple selection... [Pg.210]

The advantage of the scheme lies in possibility to cut indices with a distant dependent selection criterion, rendering the method potentially linear scaling. As a consequence, orbitals for periodic structures may be created in this way (see References [25, 26]). [Pg.143]

It is less clear how one should handle the requirement of unexpected and recurrent panic attacks. This is an inclusion criterion in form, while it is an exclusion criterion in function. This requirement can be operationalized either as a selection filter or as a component of the syndrome. We think it useful to break up unexpected and recurrent into two components and consider them separately. The unexpectedness of the panic attack is such a fundamental requirement in the DSM definition that it makes sense to operationalize it as a selection criterion. According to the DSM, individuals who have only experienced situationally bound panic attacks cannot have a panic disorder diagnosis, which can happen if this criterion is used as an indicator in CCK analyses. An individual can become a taxon member by being elevated on some, but not necessarily all, indicators. Moreover, unexpectedness of a panic attack cannot be easily coded as a continuous variable, which can present computational difficulties, especially for MAXCOV. [Pg.107]

There are many different zeolite structures but only a few have been studied extensively for membrane applications. Table 10.1 lists some of these structures and their basic properties. One of the most critical selection criterion when choosing a zeolite for a particular application is the pore size exhibited by the material. Figure 10.1 compares the effective pore size of the different zeolitic materials with various molecule kinetic diameters. Because the pores of zeolites are not perfectly circular each zeolite type is represented by a shaded area that indicates the range of molecules that may stiU enter the pore network, even if they diffuse with difficulty. By far the most common membrane material studied is MFI-type zeolite (ZSM-5, Al-free siUcahte-l) due to ease of preparation, control of microstructure and versatility of applications [7]. [Pg.307]

Figure 23 Variation of RBE as a function of depth in the carbon-ion beam used for clinical applications at HIMAC, Chiba, Japan (carbon-12, 290 MeV/u, SOBP 60 mm). The biological system is the well-codified intestinal crypt regeneration in mice. The selected criterion is 20 regenerating crypts per circumference after a single fraction irradiation. RBE determinations were performed at the beginning, middle, and end of the SOBP and at the level of the initial plateau. The dose-effect relationship for cobalt-60 is indicated for comparison. An estimation of the LET is presented for each depth where biological determinations were made. (From Gueulette, unpublished.)... Figure 23 Variation of RBE as a function of depth in the carbon-ion beam used for clinical applications at HIMAC, Chiba, Japan (carbon-12, 290 MeV/u, SOBP 60 mm). The biological system is the well-codified intestinal crypt regeneration in mice. The selected criterion is 20 regenerating crypts per circumference after a single fraction irradiation. RBE determinations were performed at the beginning, middle, and end of the SOBP and at the level of the initial plateau. The dose-effect relationship for cobalt-60 is indicated for comparison. An estimation of the LET is presented for each depth where biological determinations were made. (From Gueulette, unpublished.)...
It has frequently been suggested that the organisers of interlaboratory certification studies should only accept reliable laboratories as participants and one obvious selection criterion would be to use only accredited laboratories. However, an evaluation of data obtained from several studies organised by LGC over the past 7 years indicates that accredited laboratories are not necessarily more reliable than nonaccredited laboratories. For example, Fig. 1 shows that in an interlaboratory study to determine magnesium in water, accredited laboratories (marked with an asterisk) were just as likely to produce results with a large deviations as nonaccredited laboratories. [Pg.179]

Nearly all the peaks in the calculated Nj spectrum have a number of basis operators that contribute significantly. This indicates that the simple molecular orbital picture of the shake-up process is insufficient. " The results emphasize the need for some selection technique, such as the perturbation theory approach employed here, in the choice of the primary operator space. The addition of several extra shake-up basis operators by the perturbation selection criterion lowers the peak from 17.12 to 16.79 eV. The most important of these extra operators involves removal of a electron and de-excitation of a second Itt electron to the lw level. The importance of this operator, which acts only on the correlation part of 0>, is not obvious by pure chemical intuition. [Pg.46]

TSR selection Criterion 1 is not considered applicable for the HCF. HCF ventilation system differential pressure instrumentation functions primarily to monitor control of radioactive contamination migration across confinement barrier boundaries. Although this instrumentation provides a positive indication of Zone 1 and Zone 2A canyon confinement barrier integrity, the absence of the appropriate differential pressure gradient does not necessarily indicate a significant degradation of a confinement barrier. Therefore, application of a Limiting Condition for Operation to this instrumentation is not warranted. [Pg.218]

Conditional exact Fisher test as selection criterion and ranking according to the number of wins minus losses were used in both cases. Bold numbers indicate the variables selected. [Pg.160]

A criterion for selecting a right pore size to separate a given polydisperse polymer is provided here. To quantify how much the MW distribution narrows for the initial fraction, an exponent a is introduced (2). The exponent is defined by [PDI(0)] = PDI(l), where PDI(O) and PDI(l) are the polydispersity indices of the original sample and the initial fraction, respectively. A smaller a denotes a better resolution. If a = 0, the separation would produce a perfectly monodisperse fraction. Figure 23.7 shows a plot of a as a function of 2RJd (2). Results... [Pg.624]

Algorithm 1 requires the a priori selection of a threshold, s, on the empirical risk, /en,p( X which will indicate whether the model needs adaptation to retain its accuracy, with respect to the data, at a minimum acceptable level. At the same time, this threshold will serve as a termination criterion for the adaptation of the approximating function. When (and if) a model is reached so that the generalization error is smaller than e, learning will have concluded. For that reason, and since, as shown earlier, some error is unavoidable, the selection of the threshold should reflect our preference on how close and in what sense we would like the model to be with respect to the real function. [Pg.178]

Relevance. A key criterion in the selection of biological indicators is relevance to human and ecological health and to the development of policy. Fish are directly relevant, for example, given that consumption of fish is the primary pathway for exposure to MeHg. The concentration of MeHg in fish is also a key variable in the issuance of fish-consumption advisories. [Pg.90]

TABLE 4.1 (continued) Recommended criteria for selection of aquatic biological indicators for monitoring and assessment of methylmercury (MeHg), and their application to candidate biological indicators Extent to which the aquatic biological indicator satisfies the criterion ... [Pg.102]

Next by employing the volume criterion, the best grid point in the operability region was determined using the time intervals indicated by the information indices and the log-linear formula for the selection of the sampling times. A total of 20, 40 and 80 data points were used and the results are shown in Table 12.2. As seen, the grid point (4, 370) was consistently selected as best. [Pg.204]

That is, ttcr is directly proportional to K c/cry) since oh is a fraction of Oy. Thus, the larger the value of acr, the more attractive is the material, since cracks can be easily detected without the use of sophisticated equipment. The Ashby plot of fracture toughness versus density (Figure 8.10) indicates that of the three classes of materials selected with Criterion 1, only the engineering composites and engineering alloys provide suitable possibilities for Criterion 2. Again, of the alloys, titanium, steel, nickel, and copper alloys are the best here. [Pg.825]


See other pages where Indicators selection criteria is mentioned: [Pg.118]    [Pg.174]    [Pg.121]    [Pg.706]    [Pg.170]    [Pg.679]    [Pg.133]    [Pg.72]    [Pg.374]    [Pg.221]    [Pg.209]    [Pg.254]    [Pg.114]    [Pg.587]    [Pg.372]    [Pg.177]    [Pg.261]    [Pg.625]    [Pg.142]    [Pg.204]    [Pg.174]    [Pg.212]    [Pg.10]    [Pg.10]    [Pg.204]    [Pg.11]    [Pg.212]    [Pg.44]    [Pg.106]    [Pg.110]    [Pg.112]    [Pg.124]    [Pg.179]    [Pg.406]    [Pg.129]   
See also in sourсe #XX -- [ Pg.195 ]




SEARCH



Criteria for Selection of Indicators

Indicative Criteria

Select Criteria

Selection criteria

Selectivity criteria

© 2024 chempedia.info