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Adaptive intervals example

With chronic exposure to addictive drugs, the brain shows signs of adaptation. For example, if morphine is used at short intervals, the dose has to be progressively increased over the course of several days to maintain rewarding or analgesic effects. This phenomenon is called tolerance. It may become a serious problem because of increasing side effects—eg, respiratory depression—that do not show much tolerance and may lead to fatalities associated with overdose. [Pg.717]

Centers usually adapt company-wide guidelines to activities within their scope. For example, the S/B (styrene/butadiene) Latex Technology Center has developed a Critical Instruments Program specifically for Dow s latex plants around the world. In identifies typical latex production equipment likely to be controlled by critical instruments. The program then draws upon Dow (and non-Dow) latex and other plant and research knowledge and experience to propose test procedures and test intervals for such instruments. [Pg.300]

A further problem concerning the sampling location must be discussed. Many environmental queries include the question of the depth at which the sample must be taken. For example, it is of essential importance to know the depth or, better, the depth interval in the studies of soil, river, or groundwater pollution. The sampling depth must be adapted to the specific purpose of the investigation. Often this aim depends on the planned use of the soil area or water body. [Pg.113]

It was soon realised that at least unequal intervals, crowded closely around the UMDE edge, might help with accuracy, and Heinze was the first to use these in 1986 [300], as well as Bard and coworkers [71] in the same year. Taylor followed in 1990 [545]. Real Crank-Nicolson was used in 1996 [138], in a brute force manner, meaning that the linear system was simply solved by LU decomposition, ignoring the sparse nature of the system. More on this below. The ultimate unequal intervals technique is adaptive FEM, and this too has been tried, beginning with Nann [407] and Nann and Heinze [408,409], and followed more recently by a series of papers by Harriman et al. [287,288,289, 290,291,292,293], some of which studies concern microband electrodes and recessed UMDEs. One might think that FEM would make possible the use of very few sample points in the simulation space however, as an example, Harriman et al. [292] used up to about 2000 nodes in their work. This is similar to the number of points one needs to use with conformal mapping and multi-point approximations in finite difference methods, for similar accuracy. [Pg.211]

Plan for regular follow-up. The pharmacist should plan to interact with the patient at regular, usually brief intervals to reinforce the adherence plan. For example, brief appointments can be scheduled when patients visit the pharmacy for prescription refills. The plan should be adapted to the patient s lifestyle and be reevaluated from time to time to adjust for life changes, such as aging or a change in work or school schedules. If possible, the time for counseling on adherence should be separated from the dispensing and pick-up functions. [Pg.14]

Given that producers and consumers have already adapted so as to minimize their prospective losses, or to maximize their prospective gains. Figure 2 depicts for a predetermined time interval one example of the changes an air pollution increase can have upon consumer surplus and producer quasi-rent. The air pollution increase reduces the desirable properties of the output, making smaller the consumer s w llingijiess-to-pay and causing his demand... [Pg.373]

Multiwire position readout systems have been used for a number of years with proportional counter detectors (67, 68). Adaptations of this method have proved very successful in imaging applications with MCP s (1, 69-71). A typical arrangement (Figure 10) is described by Knapp (69) and consists of two planes of closely spaced wires. Each wire is 0.1 mm in diameter and individual wires are spaced at 0.2 mm intervals with a gap on the order of the wire spacing between the two planes. The wires in the two planes run orthogonal to each other to permit determination of both the x and y coordinates of an event. Resistors interconnect the wires in each plane and preamplifiers are connected to every eighth wire. Thus, a readout system of 130 + 130 wires, for example, requires 16 + 16 amplifiers. Electron clouds emerging from... [Pg.265]

Fig. 12.4 Effects of the depth resolution in pore water concentration profiles on calculating the rates of diffusive transport. Three samples drawn from surface sediments are shown to possess different resolutions (intervals 0.5 cm - dots, 1.0 cm diamonds, 2.0 cm - squares). All values are sufficient to plot the idealized concentration profile within the hounds of analytical error, yet very different flux rates are calculated in dependence on the depth resolution values. In the demonstrated example, the smallest sample distance indicates the highest diffusion (2.98 mmol cmA f ). As soon as the vertical distance between single values increases, or, when the sediment segments under study grows in thickness, the calculated export across the sediment-water boundary diminishes (2.34-t.64mmol cm yr ). In our example, this error which is due to the coarse depth resolution can be reduced by applying a mathematical Fit-function. A truncation of 0.05 cm yields a flux rate of 2.84 mmol cm yr. (The indicated values were calculated under the assumption of the presented porosity profile according to Pick s first law of diffusion - see Chapter 3. A diffusion coefficient of 1 cmA f was assumed. Adaptation to the resolution interval of 2.0 cm was accomplished by using a simple exponential equation). Fig. 12.4 Effects of the depth resolution in pore water concentration profiles on calculating the rates of diffusive transport. Three samples drawn from surface sediments are shown to possess different resolutions (intervals 0.5 cm - dots, 1.0 cm diamonds, 2.0 cm - squares). All values are sufficient to plot the idealized concentration profile within the hounds of analytical error, yet very different flux rates are calculated in dependence on the depth resolution values. In the demonstrated example, the smallest sample distance indicates the highest diffusion (2.98 mmol cmA f ). As soon as the vertical distance between single values increases, or, when the sediment segments under study grows in thickness, the calculated export across the sediment-water boundary diminishes (2.34-t.64mmol cm yr ). In our example, this error which is due to the coarse depth resolution can be reduced by applying a mathematical Fit-function. A truncation of 0.05 cm yields a flux rate of 2.84 mmol cm yr. (The indicated values were calculated under the assumption of the presented porosity profile according to Pick s first law of diffusion - see Chapter 3. A diffusion coefficient of 1 cmA f was assumed. Adaptation to the resolution interval of 2.0 cm was accomplished by using a simple exponential equation).
For the case of time-varying signals (as encountered in speech, music and video or in applications with time transients), it is possible to segment the time axis into disjoint intervals and construct wavelet bases on each interval -called spatial segmentation. This allows the WPT to adapt to each time interval. This is referred to as a multi-tree WPT or spatially adaptive WPT (see Fig. 3 for an example two-way segmentation of the time axis for the case of a dyadic WPT). [Pg.94]


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See also in sourсe #XX -- [ Pg.114 ]

See also in sourсe #XX -- [ Pg.136 ]




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Adaptive intervals

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