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Effective scale

The most commonly used scale inhibitors are low molecular weight acrylate polymers and organophosphoms compounds (phosphonates). Both classes of materials function as threshold inhibitors however, the polymeric materials are more effective dispersants. Selection of a scale control agent depends on the precipitating species and its degree of supersaturation. The most effective scale control programs use both a precipitation inhibitor and a dispersant. In some cases this can be achieved with a single component (eg, polymers used to inhibit calcium phosphate at near neutral pH). [Pg.271]

Blast effects. Scales and strengths of charges have been determined above. Next calculate the nondimensionalized distances for the respective charges at any wanted distance R from the blast centers using Eq. (7.4) ... [Pg.261]

Aminotri(methylenephosphonic acid) [ATMP or AMP] is the least expensive phosphonate. It is a good, general-purpose, cost-effective scale inhibitor an effective chelant and the most thermally stable of all the common phosphonates. It is satisfactory up to at least 700 psia. However, if fed as a concentrate AIMP may easily form insoluble calcium phosphonate and it may also affect copper. ATMP has a sequestration value of 870 mg CaC03/g product at a pH level of 11 and for iron, a sequestration value of 150 mg Fe/g product at a pH level of 10. The pentasodium salt has a MW of 409. Examples include Dequest 2000/2006, Mayoquest 1230, Phos -2, Briquest 301-50A, Unihib 305, and Codex 8503. [Pg.449]

Figure 13-5 is the box model of the remote marine sulfur cycle that results from these assumptions. Many different data sets are displayed (and compared) as follows. Each box shows a measured concentration and an estimated residence time for a particular species. Fluxes adjoining a box are calculated from these two pieces of information using the simple formula, S-M/x. The flux of DMS out of the ocean surface and of nss-SOl back to the ocean surface are also quantities estimated from measurements. These are converted from surface to volume fluxes (i.e., from /ig S/(m h) to ng S/(m h)) by assuming the effective scale height of the atmosphere is 2.5 km (which corresponds to a reasonable thickness of the marine planetary boundary layer, within which most precipitation and sulfur cycling should take place). Finally, other data are used to estimate the factors for partitioning oxidized DMS between the MSA and SO2 boxes, for SO2 between dry deposition and oxidation to sulfate, and for nss-SO4 between wet and dry deposition. [Pg.352]

Ciraulo DA, Jaffe JH Tricyclic antidepressants in the treatment of depression associated with alcoholism. Clin Psychopharmacol 1 146—150, 1981 Ciraulo DA, Nace E Benzodiazepine treatment of anxiety or insomnia in substance abuse patients. Am J Addict 9 276—284, 2000 Ciraulo DA, Barnhill JG, Jaffe JH, et al Intravenous pharmacokinetics of 2-hydroxy-imipramine in alcoholics and normal controls. J StudAlcohol 51 366-372, 1990 Ciraulo DA, Knapp CM, LoCastro J, et al A benzodiazepine mood effect scale reliability and validity determined for alcohol-dependent subjects and adults with a parental history of alcoholism. Am J Drug Alcohol Abuse 27 339—347, 2001 Collins MA Tetrahydropapaveroline in Parkinson s disease and alcoholism a look back in honor of Merton Sandler. Neurotoxicology 25 117-120, 2004 COMBINE Study Research Group Testing combined pharmacotherapies and behavioral interventions in alcohol dependence rationale and methods. Alcohol Clin Exp Res 27 1107-1122, 2003a... [Pg.43]

Ciraulo DA, Knapp CM, LoCastro JS, et al A benzodiazepine mood effect scale reliability and validity determined for alcohol-dependent subjects and adults with a parental history of alcoholism. Am J Drug Alcohol Abuse 27 339—347, 2001... [Pg.150]

It has not yet been convincingly demonstrated that QALYs as currently measured Yc validity in mental health contexts (Chisholm et al, 1997), nor that the EQ-5D or similar should replace disorder-specific quality of life measures. However, the methodological rigour and transparency of the approach is impressive, and it is certainly true that few clinical effectiveness scales currently used in... [Pg.10]

A disadvantage of this technique is that isotopic labeling can cause unwanted perturbations to the competition between pathways through kinetic isotope effects. Whereas the Born-Oppenheimer potential energy surfaces are not affected by isotopic substitution, rotational and vibrational levels become more closely spaced with substitution of heavier isotopes. Consequently, the rate of reaction in competing pathways will be modified somewhat compared to the unlabeled reaction. This effect scales approximately as the square root of the ratio of the isotopic masses, and will be most pronounced for deuterium or... [Pg.220]

Marriott and Topsom have recently developed theoretical scales of substituent field and resonance parameters. The former correspond to the traditional inductive parameters but these authors are firm believers in the field model of the so-called inductive effect and use the symbol The theoretical substituent field effect scale is based on ab initio molecular orbital calculations of energies or electron populations of simple molecular systems. The results of the calculations are well correlated with Op values for a small number of substituents whose Op values on the various experimental scales (gas-phase, non-polar solvents, polar solvents) are concordant, and the regression equations are the basis for theoretical Op values of about 50 substituents. These include SOMe and S02Me at 0.37 and 0.60 respectively, which agree well with inherent best values in the literature of 0.36 and 0.58. However, it should be noted that a, for SOMe is given as 0.50 by Ehrenson and coworkers . [Pg.517]

The theoretical substituent resonance effect scale is based on ab initio calculations of electron populations in substituted ethylenes. A suitable regression equation is again established by using standard substituents, but now the quantum mechanical quantity is correlated with infrared-based <7,5 values. This equation is then the basis for theoretical Og° values of more than 40 substituents including SOMe and SOjMe at — 0.03 and 0.05 respectively. The latter agrees well with the infrared-based value of 0.06, and the former supports the occurrence of a — R effect as in the infrared value of — 0.07 cf. the value of 0.0 given by Ehrenson and coworkers . [Pg.517]

Modelling can at least facilitate the determination of the most effective scale-up program. Information from three fields is needed for modelling (1) chemical kinetics, (2) mass transfer, and (3) heat transfer. The importance of information for different processes has been qualitatively evaluated (see Table 5.3-5). Obviously, sufficiently accurate information on heat transfer is needed for batch reactors, which are of great interest for fine chemicals manufacture. Kinetic studies and modelling requires much time and effort. Therefore, the kinetics often is not known. Presently, this approach is winning in the scale-up of processes for bulk chemicals. The tools developed for scale-up of processes for bulk chemicals have been proven to be very useful. Therefore, the basics of this approach will be discussed in more detail in subsequent sections. [Pg.227]

The limitations of allometric scaling led us to investigate the method of effect scaling as an alternative strategy for matching equivalent doses of MDMA in rats and humans. In this approach,... [Pg.128]

It is interesting to contrast the rate ratio for reactions 10.1 and 10.4 where either H or D atoms react with H2 with that for reactions 10.1 and 10.7 where common H atoms react with either H2 or D2 (compare Figs. 10.1a and b). In the first case, (kH,HH/kD,HH), there is a ZPE difference in the transition state but not the ground state consequently the high temperature KIE is inverse. In the second (kH,HH/kH,DD), however, there are zero point energy differences in both the transition and ground states. We expect the vibrational force constants to be smaller in the more loosely bound transition as compared to the ground state. The isotope effects scale with the force constant differences. Consequently RT[ln(kH,HH/kH,DD)] =... [Pg.315]

Very often, the dose-effect curve is redrawn using a logarithmic scale for the dose. This gives rise to a sigmoid curve, as shown in Fig. 5.2. It is a mathematical transformation, which shows an approximate linear portion for the 20-80% maximal effect scale, which is usually the dose level for a therapeutic drug. Doses above 80% provide very little increase in therapeutic effects but with a concomitant rise in the risk of adverse reactions. [Pg.141]

Interspecies extrapolation (animal-to-human) systemic effects (scaling) mouse, a default value of 7 rat, a default value of 4 monkey, a default value of 2 dog, a default value of 2. Local effects by inhalation a default value of 1... [Pg.221]

Ascertainment of treatment-emergent side effects requires a baseline symptom assessment before treatment is begun and at regular intervals thereafter. An ideal way to monitor side effects is to use medication-specific side effect scales that are designed for a particular drug class. These combine physical and behavioral symptoms with information obtained from the medical evaluation of the patient. Rating scales may help differentiate treatment-emergent side effects from an exacerbation of a symptom present at baseline, or from other causes of physical or behavioral symptoms. They may also help the family and the child accurately identify and label these side effects and then discuss them with the physician. [Pg.402]

Scores on the Simpson-Angus side effect scale were in the mild range for both patients, and did not change during either phase. Thus, this would not support decrease in toxicity as the reason for improvement, especially when the dose and blood levels were reduced in the first patient. [Pg.75]

When a process is dominated by a mixing operation, another gambit for the effective scale-up of geometrically similar systems involves the interrelationships that have been established for impeller-based systems. Tatterson (58) describes a number of elementary scale-up procedures for agitated tank systems that depend upon operational similarity. Thus, when scaling up from levels 1 to 2,... [Pg.116]

Unfortunately, the publication by Williams and coworkers is one of the only reports of a scale-up problem involving liquids or semisolids in the pharmaceutical literature. A number of papers that purport to deal with scale-up issues and even go so far as to compare the properties of small versus large batches failed to apply techniques, such as dimensional analysis, that could have provided the basis for a far more substantial assessment or analysis of the scale-up problem for their system. Worse yet, there is no indication of how scale-up was achieved or what scale-up algorithm(s), if any, were used. Consequently, their usefulness, from a pedagogical point of view, is minimal. In the end, effective scale-up requires the complete characterization of the materials and processes involved and a critical evaluation of all laboratory and production data that may have some bearing on the scalability of the process. [Pg.124]


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See also in sourсe #XX -- [ Pg.159 ]




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Cooling rate effects scale

Cooling rate effects scaling plot

Effect of Scale on Performance

Effect of Scale-up on Reactor Performance

Effect of time scale

Effect scaling

Effect scaling

Effective coupling function scaling

Effective-scale Transport Models

Effects of Reactor Scale-up On Controllability

Effects of Scale and Continuous Phase Viscosity

Excluded volume effect, scaling laws

Excluded volume effects scaling theory

Flow analysis, scale effects

General solvent effect scale

Grain size distribution scale effects

Heat scaling effects

Larger-scale motions solvent effects

Other small-scale fluctuations and their effects on the segmental motion

Polarization effects scaling functions

Relative Effectiveness of Scale Control Chemicals

Scale Effects on Thermal Conductivity

Scale effect

Scale effects scaling segregation

Scale stress effects

Scale thermal effects

Scaling factor, effect

Scaling functions effects

Scaling parameters topological effect

Solvent effects solvation time scales

Spatial scales of secondary effects

Temperature effective scale

The Effect of Scale-up on Mass Transfer

Time scale, effective

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