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, 60, 384 392 Baldyga, J, and J R Bourne (1995) Interpretation of turbulent mixing using fractals and multifractals, Chem Eng Sci, 50, 381 400 Baldyga, J, J R Bourne, A W Pacek, A Amanullah, and A W Nienow (2001) Effects of agitation and scale-up on drop size in turbulent dispersions: allowance for intermittency, Chem Eng Sci, 56, 3377 3385 Barnes, H A, and K Walters (1985) The yield stress myth, Rheol Acta, 24(4), 323 326 Barresi, A A (1997) Experimental investigation of interaction between turbulent liquid ow and solid particles and its effects on fast reactions, Chem Eng Sci, 52, 807 814 Bartholomew, W H (1960) Scale-up of submersed fermentations, Adv App Microbiol, 2, 289 300 Born, C, Z Zhang, M Al-Rubeai, and C R Thomas (1992) Estimation of disruption of animal cells by laminar shear stress, Biotechnol Bioeng.

Figure 3.3 (opposite) A modeled genome for Pseudomonas putida KT2440. Shown is an overview of metabolism and transport based on the 6.18 Mb completed genome. Predicted pathways for energy production and metabolism of organic compounds are shown. Predicted transporters are grouped by substrate speci city: inorganic cations (light green), inorganic anions (pink), carbohydrates (yellow), amino acids, peptides, amines, purines, pyrimidines, and other nitrogenous compounds (red), carbohydrates, aromatic compounds, and other carbon sources (dark green), water (blue), drug ef ux and other (dark gray). Question marks indicate uncertainty about the substrate transported. Export or import of solutes is designated by the direction of the arrow through the transporter. The energycoupling mechanisms of the transporters are also shown: solutes transported by channel proteins are shown with a double-headed arrow; secondary transporters are shown with two arrowed lines indicating both the solute and the coupling ion; ATP-driven transporters are indicated by the ATP hydrolysis reaction; transporters with an unknown energy-coupling mechanism are shown with only a single arrow. The P-type ATPases are shown with a double-headed arrow to indicate that they include both uptake and ef ux systems. Where multiple homologous transporters with similar predicted substrate exist, the number of that type of transporter is indicated in parentheses. The outer and inner membrane are sketched in gray, the periplasmic space is indicated in light turquoise, and the cytosol in turquoise. (From Nelson, K.E., C. Weinel, I.T. Paulsen, et al., 2002. Complete genome sequence and comparative analysis of the metabolically versatile Pseudomonas putida KT2440. Environ. Microbiol. 4:799 808. With permission from Blackwell Publishing, Oxford, UK.)

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The way current networks are dimensioned accounts for a certain blocking probability to avoid costly hardware overdimensioning. Thus, the resources are dimensioned to allow a certain blocking probability, which is a design criterion, and the hard-blocking capacity of these resources is de ned as the traf c that causes this blocking probability. This section presents a study of signalling channel capacity of typical GSM cell con gurations, and includes guidelines about how to optimally con gure signalling channels according to the traf c carried by the network. In this section, signalling channels include those control channels in which load varies in time and which are allocated independently from traf c channels, that is, the broadcast and associated control channels are not considered in this section. The following subsections describe the criteria used to dimension the signalling channels, as well as the signalling procedures and the methodology used to calculate the capacity of these channels. This capacity is shown for GSM voice calls and (E)GPRS data sessions, and nally some conclusions about channel dimensioning are drawn.

Ideally, you save the most time by creating all your Library items before you begin constructing your Web pages, but most Web designers don t work that way. Feel free to include, modify, and update your Library items as often as necessary as your Web site evolves that s part of the power and flexibility you gain through Dreamweaver s Library.

To get a list of authors sorted according to sales figures, you have to combine the two databases. A field common to both tables is used to create the juncture, or join; here the common field is the index field Title. Although flat-file databases can be used in many situations, most industrial-strength applications use relational databases to access information. In addition to changing the sort order of a table, database information can also be selectively retrieved by using a filter. A filter is often represented by a WHERE statement, as in Show me the books where regional sales were over 10,000 but under 20,000. Applying this filter to the BookSales table results in the following table.

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