Word processing flexibility

A system we prefer for data records is to have a computerized standard blank data sheet. The grid shown in Fig. 3.2 can be used, but a more simple and flexible format is shown in Fig. 3.3. Either of these can easily be constructed in a word-processing package. 

Flexibility is the key word in emulsion polymerisation. Latex properties can be tailored to the application (65,384). Various types of monomers, processing methods, and additives can be used during emulsion polymerisation, making the process flexible (276). A wide variety of products with specialised properties can be manufactured. Emulsion polymerisation allows for the production of particles with specially-tailored properties, including size, composition, morphology, and molecular weight. Functional groups can also be incorporated (160). Blends of different types of latexes have been formulated to provide the desired properties without copolymerisation (139,156, 213, 386). 

Many of Bruce s comments reveal a grammarian s annoyance at poorly worded language. Bruce faults the document s lack of parallelism and criticizes other errors that he believes were introduced capriciously or as the result of word-processing errors."" He complains that this kind of error is difficult to understand since the proper wording is contained on a flexible disk for the word processing units. ... 

The use of any of the above techniques demands knowledge, experience, and flexibility. No prescriptive set of questions or key words or list is sufficient to cover all processes, hazards, and all impacted populations. As a research chemist reviews a chemistry and its potential application, there are advantages to maintaining an open mind when applying the various techniques designed to open up avenues of thought. The reader is referred to Chapter 7 for additional information and direction on the choice of process hazard review techniques. 

From Figure 1.3, it becomes also evident that, while the slopes of the distinct solutes are different, those of the corresponding enantiomers are nearly the same. This means that for both enantiomers an ion-exchange process is at work and both isomers respond almost equally sensitive to the variation of the counterion concentration. In other words, the separation factors are usually almost unaffected by the counterion concentration, which opens up the possibility for a flexible adjustment... 

In Damkohler s analysis, which applied to a continuous chemical reaction process in a tubular reactor, he solved these dilemmas by completely abandoning geometric similarity and fluid dynamic similarity. In other words, L/D idem and assuming that the Reynolds number is irrelevant in the scaling. Hence, his scale-up depends exclusively on thermal and reaction similarity. In our case it is even easier to see that the Reynolds number is very small and does not play a role in the process. By allowing to adjust L/D accordingly, there is more flexibility in the scaling problem. 

Equation (2.6) indicates that (1/MR), a measure of flexibility, is a very sensitive function of diameter, d. If we take a 25 xm diameter nylon fiber as a quintessential example of a flexible fibei we can compute the diameter of various other fibers that will be required to have a flexibility equal to that of a 25 pm diameter nylon fiber. Figure 2.11 shows this. It follows from this curve that, given a sufficiently small diameter, it is possible to produce, in principle, an equally flexible fiber from a polymer, a metal, or a ceramic. In other words, one can make very flexible fiber out of a ceramic such as silicon carbide or alumina provided one can make it into a fine enough diameter. Making a fine diameter ceramic fiber, however, can be a formidable problem in ceramic processing. 

Laboratory robotics is not an outgrowth of classical industrial robotics (manufacturing robotics). Developed independently, it focuses on the chemical process rather than on robotic hardware development. However, much of the technology that was previously developed and tested for industrial automation has found uses in laboratory robotics. Also, some classical terms are routinely used in connection with laboratory robotics and laboratory automation. By 1994, robotics had seemingly reached maturity, so a specific nomenclature for laboratory robotics and automation was issued by lUPAC [2,3]. Some of lUPAC s recommended terms are general and require the word robot or robotics for specific use (e.g. in controlled-path robots , corrosion-resistant robots , feedback in robotics , accuracy in robotics ) others are characteristic of robotic technology (e.g. arm , articulate structure , flexible automation , manipulator ). 

Upon re-reading these inter-connected accounts of five adventures in dynamic criteria mapping, I am struck by how greatly these co-authors have enriched the theory and practice that appeared in its infancy in the 2003 book What We Really Value. The contributors to this volume have vividly and lovingly illustrated how much more flexible, adaptable, broadly applicable, and variable the DCM process can be than what I earlier did and described. In William James s words, they have shown what concrete difference DCM makes in people s actual lives. 

In other words, the simplification of using the number of stages for process optimization is best applied if either mass transfer or dispersion dominates the peak broadening. Therefore, the optimization strategies discussed later in this chapter apply a validated transport dispersive model, which can flexibly consider mass transfer and/ or dispersion effect. Here, the number of stages is used as independent variable for the optimization criteria like productivity or eluent consumption. Another possible approach would be the use of simplified simulation model like equilibrium dispersive model (Seidel-Morgenstern, 1995). 

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