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Running-in time

PBPK models rely on a series of simultaneous differential equations that simulate chemical delivery to tissues via the arterial circulation and removal via the venous circulation. The models are run in time steps such that the entire course of chemical disposition can be presented for calculation of the area-under-the-curve (AUC) dose, often a key metric for chronic risk assessment. The physiologic parameters can be adapted for different species, sexes, age groups, and genetic variants to facilitate extrapolation from one type of receptor to another. [Pg.190]

Outline of the rest of the proof. A obviously runs in time polynomial in the length of its inputs. It remains to be shown that it finds g -relations with significant probability. The outline of this proof is as follows ... [Pg.256]

The value of the partial pressure measured at the skin surface depends in a complex way on blood partial pressure, constitution of the skin, local perfusion, metabolism in the associated tissue, cardiac output, and application temperature. An increased temperature of 43 °C raises the gas permeability and expands the capillary vessels of skin which are filled with more artial blood. The local hyperemia has the disadvantage of limiting the application time at a certain site. Assuming stable circulation conditions, transcutaneously measured values correlate with arterial partial pressure by a factor of 1.2 (neonates) to 1.0 (small children) [1]. The measured value for adults proved to be very unreliable. In the case of unstable conditions or shock with a reduction of peripheral blood flow, the transcutaneous value drops very early. Inconvenience in routine use is caused by long preparation times of the sensor, the need for periodic membrane changes, the long run-in time of freshly prepared sensors, the necessity for periodic calibrations and the slow response time to changes in partial pressure. [Pg.356]

Obviously, such a facility becomes very dependent on its computer systems. The overall run-in time takes longer than a traditional factory. The work flow has become less flexible than in manual operation as a consequence of a well-defined work structure controlled by the systems. This in turn enables a very clear exception handling and a highly traceable operation with data and many detailed records to support analysis and follow up on all significant... [Pg.31]

We are now ready to run the simulation. As shown at the top of Figure 4.33, there are a number of buttons that control the simulation. Clicking the first button to the right of the window showing Dynamic starts the simulation running in time. The mn can be paused (time stops changing and all variables are held at their current values) by clicking the fourth button. [Pg.125]

Figure 4 AES depth profiles of sulphur (x5) and Iron In the surfaces of two test specimens. The runnlng-ln conditions being Normal load 1450 Newtons, rolling velocity 17 m/s and running-in time 75 minutes. The numbers In brackets (2,5 and 6,1) refer to the tractlonal force in Newtons acting on the contact during the runnlng-ln. Figure 4 AES depth profiles of sulphur (x5) and Iron In the surfaces of two test specimens. The runnlng-ln conditions being Normal load 1450 Newtons, rolling velocity 17 m/s and running-in time 75 minutes. The numbers In brackets (2,5 and 6,1) refer to the tractlonal force in Newtons acting on the contact during the runnlng-ln.
Shor s algorithm runs in time which grows only polynomially with log iV. For instance, in order to factorize a number of 1024 bits, for instance, 100 thousand years are necessary, using present day classical computers. The same task could be made in less than 5 minutes, using a quantum computer running the Shor factorization algorithm. [Pg.117]

We will also review the main result of [16] that no essential additional expenditure in space and time is necessary to solve problems on a reversible machine. More precisely Each M running in time T and space S can be simulated by M in time 0 T) and space 0 S + T). Based on Bennett s ideas it was later shown in [18] that M can be simulated by more complex reversible means in time and... [Pg.147]

The process is mainly influenced by the feed rate. To obtain optically smooth surfaces, feed rate must be reduced down to about 1 pm per revolution. The formation of compressive stresses in front of the tooling edge is desired in order to plasticise the material in this zone. The very low chipping depth is in the range of rounding of the diamond tool used for turning and, therefore, a run in time is preferred [288]. [Pg.124]

Hydrocarbon-water contact movement in the reservoir may be determined from the open hole logs of new wells drilled after the beginning of production, or from a thermal decay time (TDT) log run in an existing cased production well. The TDT is able to differentiate between hydrocarbons and saline water by measuring the thermal decay time of neutrons pulsed into the formation from a source in the tool. By running the TDT tool in the same well at intervals of say one or two years (time lapse TDTs), the rate of movement of the hydrocarbon-water contact can be tracked. This is useful in determining the displacement in the reservoir, as well as the encroachment of an aquifer. [Pg.336]

One way to overcome this problem is to start by setting up the ensemble of trajectories (or wavepacket) at the transition state. If these bajectories are then run back in time into the reactants region, they can be used to set up the distribution of initial conditions that reach the barrier. These can then be run forward to completion, that is, into the products, and by using transition state theory a reaction rate obtained [145]. These ideas have also been recently extended to non-adiabatic systems [146]. [Pg.272]

Dissolve 10 g. of salicylic acid (o-hydroxybenzoic acid) in 7 ml. of dry pyridine contained in a too ml. conical flask. Then without delay (since this solution if allowed to stand tends to become a semi-solid mass) run in 7 5 ml. (8 3 g.) of acetyl chloride, adding about i ml. of the chloride at a time, and shaking the mixture continuously during the addition. The heat of the reaction causes the temperature of the mixture to rise rapidly ... [Pg.110]

Fill two burettes A and B w ith A//10 HCl. Run in from A, drop by drop, sufficient A/,To hydrochloric acid just to discharge the red colour in A. Maintain the temperature at about 60° and keep the colour just discharged by cautiously adding the HCl from time to time. Care must be taken not to add an excess of acid, otherwise the proteins will be precipitated and the enzyme rendered inactive. The reaction is o>m plete in about 5 minutes, but allow the mixture to stand for a further 5 minutes after the final discharge of the colour. [Pg.520]

Heat a mixture of 49 g. of acetylmethylurea (3) and 50 ml. of concentrated hydrochloric acid, with hand stirring, on a steam bath until it is apparent that no more solid is dissolving (4) and continue the heating for 3—4 minutes longer the total time of heating on the steam bath should be 8-12 minutes. Dilute the solution with 50 ml. of water and cool below 10° in an ice bath. Run in slowly and with stirring a cold saturated solution of 38 g. of A.R. sodium nitrite in 55 ml. of water below the level of the liquid. Keep the mixture in the ice bath for 5-10 minutes, filter the solid at the pump and wash it with 8-10 ml. of ice-cold water. Dry the nitrosomethylurea (pale yellow crystals) in the air or in a. vacuum desiccator (5) the yield is 34 g., m.p. 12 124°. [Pg.969]

A solution of 0.10 mol of lithiated methoxyallene in about 70 ml of hexane and 50 ml of THF (see Chapter II, Exp. 15) was cooled to -40°C. Ory, pure acetone (0.12 mol) was added dropwise during 10 min, while keeping the temperature at about -30°. Five minutes after the addition 100 ml of saturated NHi,Cl solution, to which 5 ml of aqueous ammonia had been added (note 1), were run in with vigorous stirring. The product was extracted three times with diethyl ether. The combined organic solutions were dried over potassium carbonate and subsequently... [Pg.43]

An alternative to serial execution of operations is to split the total work into smaller groups, with each group carrying out its function simultaneously with the others (in a parallel fashion), viz., flows of instructions run in parallel (at the same time as each other). [Pg.420]


See other pages where Running-in time is mentioned: [Pg.67]    [Pg.11]    [Pg.21]    [Pg.5]    [Pg.213]    [Pg.53]    [Pg.195]    [Pg.257]    [Pg.141]    [Pg.717]    [Pg.177]    [Pg.116]    [Pg.127]    [Pg.28]    [Pg.67]    [Pg.11]    [Pg.21]    [Pg.5]    [Pg.213]    [Pg.53]    [Pg.195]    [Pg.257]    [Pg.141]    [Pg.717]    [Pg.177]    [Pg.116]    [Pg.127]    [Pg.28]    [Pg.59]    [Pg.187]    [Pg.274]    [Pg.298]    [Pg.469]    [Pg.301]    [Pg.498]    [Pg.593]    [Pg.306]    [Pg.501]    [Pg.253]    [Pg.320]    [Pg.337]    [Pg.481]    [Pg.579]    [Pg.844]    [Pg.154]    [Pg.100]    [Pg.202]    [Pg.190]   
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Running time

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