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Limiting distributions

At higher flow rates the dispersion of the tracer and the lower limit for time resolution of the concentration versus time distribution limits the accuracy to better than dt2%. [Pg.1055]

Radical polymerization is often the preferred mechanism for forming polymers and most commercial polymer materials involve radical chemistry at some stage of their production cycle. From both economic and practical viewpoints, the advantages of radical over other forms of polymerization arc many (Chapter 1). However, one of the often-cited "problems" with radical polymerization is a perceived lack of control over the process the inability to precisely control molecular weight and distribution, limited capacity to make complex architectures and the range of undefined defect structures and other forms of "structure irregularity" that may be present in polymers prepared by this mechanism. Much research has been directed at providing answers for problems of this nature. In this, and in the subsequent chapter, we detail the current status of the efforts to redress these issues. In this chapter, wc focus on how to achieve control by appropriate selection of the reaction conditions in conventional radical polymerization. [Pg.413]

Smoluchowski s equation, like the fragmentation equation, can be written in terms of the scaling distribution. Furthermore, general forms may be determined for the tails of the scaling distribution—limits of small mass, xls(t) < 1, and large mass, x/s(t) > 1. The details can be found in van Dongen and Ernst (1988). [Pg.183]

Anionic polymerization Narrow molecular weight distribution Limited chain transfer reactions Predictable molecular weight average Possibility of forming living polymers End groups can be tailored for further reactivity Solvent-sensitive due to the possibility of chain transfer to the solvent Can be slow Sensitive to trace impurities Narrow molecular weight distribution... [Pg.42]

The information available on UV-susceptibility of different developmental stages in kelps indicate the unicellular zoospores as being most sensitive (Wiencke et al. 2000, 2004). However, zoospore UV-sensitivity varies species-specifically as a function of depth distribution of the sporophyte, i.e. kelps from shallow water are more tolerant than plants from deeper vertical positions. Consequently, any increase in UVB-induced spore mortality will result in impaired reproductive success and finally reduce fitness of the population. In addition, elevated UVB will penetrate deeper into the water column, which may result in a shift of the upper distribution limit of seaweed communities to deeper waters (Wiencke et al. 2006). [Pg.278]

M M. Rauhut, D. R. Maulding, W. Bergmark, B. G. Roberts, R. A. Clarke, and R. Coleman, Exploratory Development of Chemiluminescent Materials which Emit Radiation in the Infrared Region Final Technical Report to U.S. Army Munitions Command Contract DAAA 21-67-C-0503, Picatinny Arsenal, Dover, New Jersey 07801 October 1968. AD 843278 Unclassified Distribution limited to DOD and contractors. [Pg.180]

Highly exothermic chemical reactions can give ions as products. Such reactions are called chemi-ionization reactions. When one or more of the reactants are formed by pulsed photolysis, and the ion product(s) are time-resolved with a mass spectrometer, this comprises a FPTRMS experiment. The ions can be extracted by a biased pair of electrodes, one of which has an aperture through which ions pass to enter a quadrupole mass spectrometer. The time resolution of this experiment is superior to FPTRMS experiments between neutrals, since the ion velocities are set by the electrode bias voltage, and the thermal molecular velocity distribution limitation is no longer a factor. With modest electrode bias voltages, the detection time can be as short as 2 /is. [Pg.50]

Although our analyses are still in progress, two possible explanations for the isotopic data seem likely at this point. The first is that the majority, if not all, of these beads were in foct produced from shells collected in southern California. If true, this would imply that F2/F3 and M1/M2 beads, which have a geographical distribution limited to central and northern California, were either produced by southern California bead makers exclusively for northern... [Pg.186]

Phenols that are less widely distributed - limited number of compounds known... [Pg.3]

A single coin is an example of a Bernoulli" distribution. This probability distribution limits values of the random variable to exactly two discrete values, one with probability p, and the other with the probability (1-p). For the coin, the two values are heads p, and tails (1-p), where p = 0.5 for a fair coin. [Pg.8]

Random noise on the correlation function broadens the calculated distribution, limiting resolution. [Pg.54]

Table 1. Droplet diameter measured by Dynamic Light Scattering experiments at 90° and distribution limits extracted from a multi-exponential analysis (10% brine in pure span 80)... Table 1. Droplet diameter measured by Dynamic Light Scattering experiments at 90° and distribution limits extracted from a multi-exponential analysis (10% brine in pure span 80)...
ADME Rapid entry through blood capillaries, distribution to many organs/tissues, metabolized to active and non-active metabolites Distribution limited based on size to plasma a/o extracellular fluid, degraded (catabolized) to endogenous amino acids... [Pg.50]

Small diameter (revamps) Small packing sizes Structured packing Woven wire-mesh packing Natural distribution limits with random packing in small relative diameters... [Pg.735]

All tested catalysts showed a product distribution limited to propylene, carbon dioxide, carbon monoxide, traces of methane and ethylene. No oxygenated products such as aldehydes or acids were detected in the exhaust from the reactor. [Pg.1069]

Hobbs J. R. and Conde E., Comparison of different techniques for the headspace of explosives, Proc. Third Symp. Anal. Detect. Explos. Mannheim, FRG July 10-13, 1989, pp. 41-1 to 41-18, Hobbs J. R. and Conde E., Explosives Sample Analysis Technical Report - U.S.D.O.T. December 1989 (Distribution Limited). [Pg.288]

Penetrate cell membranes poorly or not at all limited or no significant absorption from GIT except for acid-stable aminopeni-cillins, which have moderate but species-variable absorption distribution limited mainly to extracellular fluids concentrations in intracellular fluid, CSF, miUc, and ocular fluids low, but effective concentrations may be reached in synovial, peritoneal, and pleural fluids some penicillins actively transported out of CSF into plasma generally excreted, usually in urine, in high concentrations as the parent molecule some drugs actively secreted into urine and/or bUe biotransformation (e.g., in the liver) usually slight or absent... [Pg.68]

Both substrates can be artificial and their concentrations during the catalytic cycle can be controlled without taking any transport phenomenon into the cell or other distribution limits into account ... [Pg.118]

SSI Markings — Security plans must be marked as Security Sensitive Information (SSI) as required by 49 CFR 15.13. Security plans on paper must include the protective marking SENSITIVE SECURITY INFORMATION at the top and the distribution limitation warning at the bottom of ... [Pg.519]

The distribution limitation warning must read as follows ... [Pg.519]

Non-paper security plans must be clearly and conspicuously marked with the protective marking and distribution limitation warning so that a viewer or listener is reasonably likely to see or hear them when obtaining access to the security plan. [Pg.519]


See other pages where Limiting distributions is mentioned: [Pg.175]    [Pg.296]    [Pg.80]    [Pg.1718]    [Pg.225]    [Pg.333]    [Pg.341]    [Pg.103]    [Pg.163]    [Pg.336]    [Pg.206]    [Pg.531]    [Pg.235]    [Pg.450]    [Pg.173]    [Pg.72]    [Pg.328]    [Pg.492]    [Pg.154]    [Pg.1739]    [Pg.22]    [Pg.116]    [Pg.337]    [Pg.6029]   
See also in sourсe #XX -- [ Pg.445 , Pg.446 , Pg.447 ]




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Confidence Limits of the Distribution

Confidence limits of the geometric mean for a log-normal distribution

Density distribution Gaussian limit

Direct limit Distribution (supported

Distributed feed columns limitations

Distribution Central Limit Theorem

Distribution coefficient limiting

Distribution confidence limits, figure showing

Distribution of Differences in Relation to Specified Limits

Distribution of Errors and Confidence Limits

Limited distribution programs

Limiting distribution critical values

Limiting polymer size distribution

Normal distribution central limit theorem

Normal distribution proportions within limits

One-Sided Tolerance Limits for a Normal Distribution

Perfusion limited distribution

Permeability limited distribution

Selectivity residence time distribution, limits

Upper limit distribution

Upper-limit distribution function

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