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Command HATCHEDIT HYPERLINK IMAGE INSERT LAYER LAYOUT LINETYPE MLEDIT MTEXT OSNAP PAN PARTIALOAD PARTIALOPEN PLOT PLOTSTAMP PLOTSTYLE PROPERTIES PURGE RENAME STYLE TABLE TEXT TOOLBAR UNITS VBARUN VIEW WBLOCK XBIND XREF Command-Line Form -HATCHEDIT -HYPERLINK -IMAGE -INSERT -LAYER -LAYOUT -LINETYPE -MLEDIT (AutoCAD Only) -MTEXT -OSNAP -PAN -PARTIALOAD (AutoCAD only) -PARTIALOPEN (AutoCAD only) -PLOT -PLOTSTAMP -PLOTSTYLE CHANGE, CHPROP, -COLOR, -LAYER, -LINETYPE, -LTSCALE, CELTYPE, CELTSCALE, ELEV, THICKNESS -PURGE -RENAME -STYLE -TABLE -TEXT -TOOLBAR -UNITS -VBARUN (AutoCAD only) -VIEW -WBLOCK -XBIND -XREF

8. The length scale and sextupole strength in Problem 6 are useful in relating the dynamics to realistic values in accelerators. But for calculational purposes, it is easier to cast the mappings in dimensionless form. Note that the driving term A of Problem 6 has the dimensions of inverse length. Using 1/A as the unit of length, introduce new variables with x and p x scaled accordingly. State the mapping of the preceding problem in these new variables. Note that the only remaining parameter is the tune, and so phase space plots developed in these variables are characteristic of the tune only. Modify the program that you wrote for the preceding problem accordingly, and repeat the calculations. Compare the behavior near resonance (6 = 0.006) with that far from resonance ( 8 = 0.09).

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A practical way to provide an appropriate level of validation for a wide range of laboratory instruments is to develop a classi cation system to categorize the laboratory instruments according to their functional complexity, usage, and risk to data integrity. For each category or class of instruments, a set of predetermined scalable deliverables and testing is de ned. These de nitions will in turn be used to determine the extent and type of testing required to validate various instruments. This instrument classi cation system and its associated deliverables provide simple and structured guidance on deciding the validation effort required for a whole spectrum of laboratory instruments from a simple pH meter to a fully automated dissolution workstation. An instrument classi cation system which is based on the complexity of the instrument is given in Table 1. There are similar laboratory instrument classi cations outlined in GAMP: Good Practice Guide: Validation of Laboratory Computerized Systems [10], and the U.S. Pharmacopeia (USP) general chapter on analytical instrument quali cation [11]. As there can be overlap between categories of instrument classi cations, individual organizations should make modi cations to the de nitions and the types of instruments in the classi cation system as required, thereby customizing the classi cation system to their respective operation. After the laboratory instrument classi cation has been established, the deliverables required for the validation for each class of instruments will be de ned to provide the framework for the validation process. Table 2 lists the deliverables commonly encountered in the laboratories.

>>> f = open( foo.txt , wt ,1) # Open foo.txt for writing. >>> f <open file foo.txt , mode wt at 010C0488>

Pan, XR, Li, GW, Hu, YH et al (1997) Effects of diet and exercise in preventing NIDDM in people with impaired glucose tolerance The Da Qing IGT and Diabetes Study Diabetes Care, 20, 537 44 Protheroe, L, Dyson, M, Renfrew, MJ et al (2003) The effectiveness of public health interventions to promote the initiation of breastfeeding: Evidence brie ng London, Health Development Agency, (http://wwwpublichealthniceorguk/ downloadaspx o =502585 (accessed 20 December 2007) Ray, R, Lim, LH and Ling, SL (1994) Obesity in preschool children: an intervention programme in primary health care in Singapore Annals of the Academy of Medicine, Singapore, 23, 335 41 Reger, B, Wootan, MG, Booth-Butter eld, S and Smith, H (1998) 1% or less: a community-based nutrition campaign Public Health Reports, 113, 410 9 Richter, KP.

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