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Table 18.1 Some Important Industrial Lung Toxicants and Associated Injury Toxicant Aluminum dust Ammonia Arsenic Asbestos Beryllium Cadmium oxide Chlorine Chromium Coal dust Hydrogen uoride Iron oxides Nickel Nitrogen oxides Ozone Phosgene Silica Sulfur dioxide Talc Tetrachloroethylene Source Ceramics, paints, reworks, electrical goods Manufacture of fertilizers, explosives, ammonia Manufacture of pesticides, glass, pigments, alloys Mining, construction, shipbuilding Ore extraction, ceramics, alloys Welding, smelting, manufacture of electronics, alloys, pigments Manufacture of pulp and paper, plastics, chlorinated chemicals Manufacture of Cr compounds, paint pigments Coal mining Manufacture of chemicals, plastics, photographic lm, solvents Welding, steel manufacturing, mining, foundry work Nickel extraction and smelting, electroplating Welding, explosive manufacturing Welding, bleaching, deodorizing Production of pesticides, plastics Mining, quarrying, farming Bleaching, refrigeration, fumigation coal combustion Rubber industry, cosmetics Dry cleaning, metal degreasing Damage Fibrosis Irritation Lung cancer, bronchitis Asbestosis, lung cancer Fibrosis, lung cancer Emphysema Irritation Lung cancer Fibrosis Irritation, edema Fibrosis Nasal cancer lung cancer, edema Emphysema Emphysema Edema Fibrosis (silicosis) Irritation Fibrosis Edema

effect of TCP on network performance in the presence of highly bursty traf c. Lastly, this chapter has focused on the large time scale or long-range structure of nerwork traf c and its performance effects. In recent work [9], multiplicative scaling has been discovered with respect to short time scale structure, which is conjectured to stem from TCP's feedback congestion control.

MKMAPTKRKG SCPGAAPKKPKEPVQVPKLV IKGGIEVLGV KTGVDSFTEV ECFLNPQMGN PDEHQKGLSK SLAAEKQFTD DSPDKEQLPC YSVARIPLPN LNEDLTCGNI LMWEAVTVKT EVIGVTAMLN LHSGTQKTHE NGAGKPIQGS NFHFFAVGGE PLELQGYLAN YRTKYPAQTV TPKNATVDSQ QMNTDHKAVL DKDNAYPVEC WVPDPSKNEN TRYFGTYTGG ENVPPVLHIT NTATTVLLDE QGVGPLCKAD SLYVSAVDIC GLFTNTSGTQ QWKGLPRYFK ITLRKRSVKN PYPISFLLSD LINRRTQRVD GQPMIGMSSQ VEEVRVYEDT EELPGDPDMI RYIDEFGQTT TRMQ

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toxicants. Since the nasal epithelium contains relatively high levels of xenobioticmetabolizing enzymes such as CYP and FMO isoforms, it can function as a detoxi cation site. However, as these enzymes, particularly CYP, may also activate toxicants, the nose is also a site for toxicant-induced lesions. The trachea and bronchi likewise have a protective function. Mucous and serous cells secrete uids that together comprise the mucus, which is moved toward the pharynx by the cilia of the ciliated cells. The movement of mucus serves to move entrapped particles toward the pharynx where they are eliminated by swallowing or expectoration. The mucus may also have other protective functions, protecting the epithelial cells by free radical scavenging and antioxidant properties. The Clara cells are known to contain high concentrations of xenobiotic metabolizing enzymes. The principal function of the lungs is gas exchange, providing O2 to the tissues and removing CO2 . This gas exchange takes place in the alveoli. Because the lung has a large surface area and exchanges a signi cant volume of air (100,000 20,000 L/day

1 A Adas and A Mukherjee On resource management and QoS guarantees for long range dependent traf c In Proc IEEE INFOCOM '95, pp 779 787, 1995 2 R Addie, M Zukerman, and T Neame Fractal traf c: measurements, modelling and performance evaluation In Proc IEEE INFOCOM '95, pp 977 984, 1995 3 M F Arlitt and C L Williamson Web server workload characterization: the search for invariants In Proc ACM SIGMETRICS '96, pp 126 137, May 1996 4 M G Baker, J H Hartman, M D Kupfer, K W Shirriff, and J K Ousterhout Measurements of a distributed le system In Proceedings of the Thirteenth ACM Symposium on Operating System Principles, Paci c Grove, CA, October 1991, pp 198 212 5 Jan Beran Statistics for Long-Memory Processes Monographs on Statistics and Applied Probability Chapman and Hall, New York, 1994 6 R R Bodnarchuk and R B Bunt.

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A synthetic workload model for a distributed system le server In Proceedings of the 1991 SIGMETRICS Conference on Measurement and Modeling of Computer Systems, pp 50 59, 1991 7 M Crovella and A Bestavros Self-similarity in World Wide Web traf c: evidence and possible causes In Proc ACM SIGMETRICS '96, pp 151 160, 1996 8 N G Duf eld and N O'Connell Large deviations and over ow probabilities for the general single server queue, with applications Mathematical Proc of the Cambridge Phil Soc 118, pp 363 374, 1995 9 A Feldman, A C Gilbert, P Huang, and W Wilinger Dynamics of IP traf c: A study of the role of variability and the impact of control In Proc ACM SIGCOMM '99, pp 301 313, 1999 10 S Floyd Simulator tests Available in ftp://ftpeelblgov/papers/ simtestspsZ ns is available at http://www-nrgeelblgov/nrg, July 1995.

VP1 is the dominant capsid protein of SV40 and is also lysine (K) rich, resulting in an abundance of potential sites for the covalent grafting of mPEG.

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