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This allows comparison of test to control in a single separation and comparison of corresponding light and heavy tagged peptides allows accurate quanti cation of relative abundance in the starting proteome As with 2-D SDS PAGE, some proteins have identical abundance in the test and control samples whilst others are up- or downregulated..

Holmes, RS and Vaughan, TL (2007) Epidemiology and pathogenesis of esophageal cancer Seminars in Radiation Oncology, 17, 2 9 Iacobellis, G, Ribaudo, MC, Zappaterreno, A et al (2005) Relationship of thyroid function with body mass index, leptin, insulin sensitivity and adiponectin in euthyroid obese women Clinical Endocrinology, 62 (4), 487 91 Jensen, TK, Andersson, AM, Jorgensen, N et al (2004) Body mass index in relation to semen quality and reproductive hormones among 1,558 Danish men Fertility and Sterility, 82 (4), 863 70 Johns, MP (1991) A new method for measuring daytime sleepiness: The Epworth Sleepiness Scale Sleep, 14, 540 5 Johnson, JA, Majumdar, SR, Simpson, SH and Toth, EL (2002) Decreased mortality associated with the use of metformin compared with sulfonylurea monotherapy in type 2 diabetes Diabetes Care, 25 (12), 2244 8 Jones, R.

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L and Nzekwu, MU (2006) The effects of body mass index on lung volumes Chest, 130, 827 33 Kaaks, R, Lukanova, A and Kurzer, MS (2002) Obesity, endogenous hormones, and endometrial cancer risk: a synthetic review Cancer Epidemiology, Biomarkers & Prevention: A publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 11 (12), 1531 43 Kanaley, JA, Weatherup-Dentes, MM, Jaynes, EB and Hartman, ML (1999) Obesity attenuates the growth hormone response to exercise Journal of Clinical Endocrinology and Metabolism, 84, 3156 61 Kirschner, MA, Samojlik, E, Drejka, M et al (1990) Androgen-estrogen metabolism in women with upper body versus lower body obesity Journal of Clinical Endocrinology and Metabolism, 70 (2), 473 9 Kley, HK, Edelmann, P and Kruskemper, HL.

Section 2.5.5. When throughput is not a bottleneck with respect to the average amount of data, the service instantiation time on the Internet is affected by many factors. A few potential reasons for increasing or varying service delivery time are listed below: The detailed implementation of application in the user terminal may be inef cient. The server application may experience insuf cient Central Processing Unit (CPU) resources, possibly due to inef cient socket programming. Transport layer protocol TCP or UDP. TCP/IP stack at either end may be sub-optimal performancewise. Some routers or links of the IP network may be miscon gured. In long-range communications, route apping may take place. Some parts of the IP networks connecting the two communicating hosts may be congested. A full account of all the factors is beyond the scope of the present book. Service delivery time is measured in milliseconds. A distinction needs to be made between one-way services and two-way service response time. Delay for one-way service events are typically measured from service source to destination. An example of this could be the telephone conversation where one of the participants utters a word into the telephone receiver. In such a case, the end-to-end delay would be measured as time length of the period of time between the speaker making the rst waveforms of the rst word to the time that same sound issues from the telephone receiver at the other end of the communication (see Figure 2.6). ITU-T limits for mouth-to-ear delay in telephony are as follows: 0 150 ms: acceptable for most user applications. 150 400 ms: acceptable provided that administrators are aware of transmission time impact to transmission quality of user application. More than 400 ms: unacceptable for general network planning purposes.

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