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Once QoS is provisioned at the HLR and at various network elements, the next question is how an application on a mobile device knows which APN and hence associated QoS to use and, for an application on QoS-aware devices, what QoS to ask for. Applications are typically designed to handle a di erent bit rate or bandwidth. However, what QoS to request for a speci c application depends partly on user subscription. It would be too great a hurdle to require end-users to manually con gure QoS for di erent applications on mobile devices. The best way is to provision QoS over the air for example, at service subscription time. Though there are many proprietary ways to con gure devices and applications over the air, the trend is toward Open Mobile Alliance (OMA) device management standardisation. They are described in the following sections. 8.3.2.1 OMA device management

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Therefore, an effective water system is required Nowadays, several techniques can be used to obtain water of high pharmaceutical quality These include ionexchange treatment, reverse osmosis, distillation, electrodialysis, and ultra ltration However, there is no single optimum system for producing high-purity water, and selection of the nal system is dependent on factors such as the quality of raw water, intent of its use, ow rate, and costs In the pharmaceutical industry, the different water classes normally encountered are well water, potable water, puri ed water, and specially puri ed grades of water, such as water for injection (eg, MilliQ water) Water drawn directly from a well is called well water The water may not be either chemically or microbiologically pure because it is untreated [7] Therefore, the use of well water should be restricted to nonmanufacturing operations, such as lawn sprinklers, re protection systems, and utilities.

(3.13)

Potable water is city water or private well water that has usually been subjected to some form of microbiological treatment, such as chlorine addition [7] Potable water can be used in processing operations for cleaning and sanitation purposes Periodic monitoring of use points should be conducted to ensure adequate residual chlorine levels and the absence of microbial contamination Puri ed water is treated to attain speci ed levels of chemical purity and it is the type of water used in most pharmaceutical processing operations and nal equipment cleaning Puri ed water generally is produced by deionization or distillation, although reverse osmosis or ultra ltration systems might be utilized if the required chemical purity could be achieved Water softening or activated carbon ltration is frequently employed as a pretreatment process to remove calcium and magnesium ions or chlorine and organic materials.

Figure 15-12: Examples of how automatic kerning and the Fractional Widths option work together to correct the appearance of small type when antialiasing is turned off.

Ion exchange and demineralization through deionization is a very common method to obtain the puri ed water used in the pharmaceutical industry Deionization equipment should have proper size to allow frequent regeneration A recirculation system should also be installed in the unit that approaches the rated ow of the deionization unit Procedures should be written to ensure that all water treatment equipment is properly operated, monitored, maintained, and sanitized on a regular basis Regarding water ltration procedures rst, pre lters should be provided to prevent large particulates from entering the system and micro ltration to remove bacteria Pre lters are usually the replaceable cartridge type with porosities ranging as high as 25 m Micro ltration follows and is generally accomplished with 02- m absolute lters, which will remove most bacteria.

Again, it was clear that the EP results with support of CAD approached that of the RR without CAD, and the results of the residents with CAD approached those of the specialists without CAD After the use of CAD, the positive predictive values improved from 801% to 895% for EP, from 884% to 930% for RR, and from 933% to 945% for RS The negative predictive values also improved from 757% to 825% for ER, from 867% to 938% for RR, and from 926% to 951% for RS Again, it was clear that these conventional indicators of diagnostic accuracy for the EP with support of CAD approached that of the RR without CAD, and the results of the RR with CAD approached those of the RS without CAD 2553.

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