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Threshold approaches

Sikkema, P., Van Eerd, L.L., Vyn, R.J. and Weaver, S. (2007) A comparison of reduced rate and economic threshold approaches to weed management in a com—soybean rotation. Weed Technol, 21, 647-655. [Pg.449]

Figure 12. The error threshold of replication and mutation in phenotype space. The genotypic error threshold approaches zero in the case of selective neutrality. Despite changing genotypes a phenotype may be conserved in evolution whenever it has higher fitness than the other phenotypes in the population. The concept of error threshold can easily be extended to competition between phenotypes. The distribution of phenotypes is stationary provided the error rate does not exceed the maximum value pmax which is a function of the mean fraction of nearest neighbors, X, and the superiority of the master phenotype, a. The illustration shows the position of the phenotypic error threshold in the X, p plane. Selective neutrality allows more errors to be tolerated and pmax increases accordingly with increasing X. If X approaches the inverse superiority, X — a-1, the tolerated error may grow to pmax = 1, and this means the phenotype will never be lost, no matter how many errors are made in replication. Figure 12. The error threshold of replication and mutation in phenotype space. The genotypic error threshold approaches zero in the case of selective neutrality. Despite changing genotypes a phenotype may be conserved in evolution whenever it has higher fitness than the other phenotypes in the population. The concept of error threshold can easily be extended to competition between phenotypes. The distribution of phenotypes is stationary provided the error rate does not exceed the maximum value pmax which is a function of the mean fraction of nearest neighbors, X, and the superiority of the master phenotype, a. The illustration shows the position of the phenotypic error threshold in the X, p plane. Selective neutrality allows more errors to be tolerated and pmax increases accordingly with increasing X. If X approaches the inverse superiority, X — a-1, the tolerated error may grow to pmax = 1, and this means the phenotype will never be lost, no matter how many errors are made in replication.
This conceptual scheme, rooted in the works of anthropologists, has particularly strong appeal when tourist behaviour involves cross-cultural encounters which are challenging and which occur in novel settings. The threshold approach appears to be less applicable (but is potentially still of... [Pg.28]

From the experiments just outlined [74-76], a few points are worth being emphasized A powerful procedure was developed to gradually approach phase boundaries of polyelectrolyte precipitation. The approaches can be performed in a highly systematic manner and lead to states which are located extremely close to the precipitation threshold. Approaches could successfully be accompanied by LS experiments. The experiments demonstrated, that the polyelectrolyte chains shrank dramatically in size immediately before the phase boundaries were reached. A sudden increase of the scattering intensity indicated the phase boundaries. These developments give rise to the hope that intermediates may be revealed which have not become accessible in preceding investigations [78-81]. [Pg.57]

By using a thresholding approach in a 3-D CBF data set, we could show that 54% of the total ischemic lesion volume could be attributed to the penumbra, only 46% to the infarct core at 1.5 h post MCA occlusion (Back et al. 1995). Those areas with pending infarction show potentially reversible changes that can be addressed by therapeutic interventions like recanalizing therapy and/or neuroprotective drugs. [Pg.56]

OECD 17 (2010). Short guidance on the threshold approach for acute toxicity. ENV/JMMONO17. 31-May-2010. Organization for Economic Co-operation and Development. Paris. France. [Pg.118]

Evalnate nsing threshold approach applying applicable nncertainty factors detailed above... [Pg.33]

By comparing threshold and energetic electron detection in coincidence studies, one can conclude that in the former case a 50-500 times higher signals-to-noise ratio is possible, while in the latter case the photon flux of a Hel radiation source is greater by several orders of magnitude. As a final result, coincidence rates are comparable in the two types of experiment. In practice, the threshold approach seems to be preferred because a wider variety of states is available since autoionization aids to excite levels not available in conventional photoelectron spectroscopy. [Pg.273]

The consideration of mode of action in carcinogen risk assessment is becoming standard practice. When data are adequate to demonstrate use of the standard default low dose extrapolation models such as the linearized multistage model is not appropriate, alternate approaches, including threshold approaches are now being used. [Pg.2312]

MCDM methods are applied when at least two responses need to be optimized simultaneously. Different approaches can be distinguished, for example, window programming, threshold approaches, utility functions. Derringer s desirability functions, Pareto optimality methods, Electre outranking relationships, and Promethee (7). In this chapter, only the Pareto optimality methods (7, 117, 118) and Derringer s desirability functions (7, 119, 120) will be discussed. [Pg.65]

The measurements in each window are filtered by the wavelet thresholding approach described in the previous section [4]. This simple approach is very effective compared to the single scale techniques as shown by the theoretical analysis presented next and the illustrative example. It retains the benefits of the wavelet decomposition in each moving window, while allowing each measurement to be filtered on-line. [Pg.142]

In many cases, the selected AJ in is such that no pinch exist, and MER design calls for either hot or cold utility to be used, but not both. The critical Ar in below which no pinch exists is referred to as the threshold approach temperature difference, ATt res. The following two examples illustrate how this arises and demonstrate how the guidelines presented previously are adapted for HEN design. [Pg.333]

Analysis of currently available data on intrinsic threshold approaches " indicates they are limited to less than about 5x10 pels due to relatively high voltage or power requirements, slow transient response times, or long page refresh times. Uniformity of appearance will also be a problem due to high sensitivity of the intrinsic LC threshold to variations in LC layer thickness or in the substrate LC interface. [Pg.89]

Figure 5 shows the regions of information space, spanned by FSM TN-LCDs, other intrinsic threshold addressed LCDs, and extrinsic threshold addressed LCDs. Note that it doesn t seem appropriate to use extrinsic or other intrinsic threshold LCDs for less than about 10 rows of information due to the expected extra cost and complexity as compared to FSM TN-LCDs. It is also clear from Fig. 5 that if extrinsic threshold LCDs are available, then the alternative intrinsic threshold approaches will not be required unless they are of lower cost. Furthermore, the extrinsic threshold LCDs should have the best operational properties including lowest voltage, fastest transient response and shortest page refresh times. [Pg.90]

Figure 14 WT-based denoising has four steps (1) Transform the signal, (2) isolate the small-amplitude wavelet coefficients corresponding to the noise components, (3) zero-out or reduce these coefficients, and (4) apply a reverse WT to the signal. Compare this with the smoothing routine illustrated in Figure 13. The isolation of small-amplitude coefficients in step 2 was achieved by using a progressive reduction hard-thresholding approach, which reduces the elimination threshold for each lower frequency band. Figure 14 WT-based denoising has four steps (1) Transform the signal, (2) isolate the small-amplitude wavelet coefficients corresponding to the noise components, (3) zero-out or reduce these coefficients, and (4) apply a reverse WT to the signal. Compare this with the smoothing routine illustrated in Figure 13. The isolation of small-amplitude coefficients in step 2 was achieved by using a progressive reduction hard-thresholding approach, which reduces the elimination threshold for each lower frequency band.

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