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Although many different agents may damage the lung, the patterns of cellular injury and repair are relatively constant, and most fall into one or more of the categories described below.

FIGURE 16.5 mPEG grafting (5 mM BTCmPEG 5 kDa) results in a broad-spectrum antiviral prophylaxis as demonstrated by the inhibition of plaque formation following challenge with RCV, MAV, TMEV, and SV40 viruses. The viruses shown infect cells via either receptor-mediated endocytosis (SV40, MAV, and TMEV) or membrane fusion (RCV). Host cells were covalently derivatized in the presence of 5 mM BTCmPEG for 5 minutes. Photomicrographs of MAV plaque assay are also presented at the gross (A, C) and at the microscopic (B, D) levels. As shown, control MAV infections result in extensive plaque formation at both the gross (A) and microscopic (B) levels. In contrast, pegylation of the BALB/3T3 cells with 5 mM BTCmPEG prevents plaque formation at both the gross (C) and microscopic (D) levels. The data presented are the mean SD of a minimum of three independent experiments.

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1 Given two consecutive timestamps of observed TCP connections from a TCP connection arrival process, the interarrival time is the time difference between the two timestamps.

Perhaps one of the most obvious and familiar chemical effects is irritation caused by volatile compounds such as ammonia or chlorine gas. Such irritation, especially

72 hours (Figure 16.6). Furthermore, propagation of CMV was dramatically reduced in host cells covalently modi ed with mPEG. For example, in control CMV infections at 24 hours approximately 50% of the cells were infected. Consequent to viral propagation and infection of adjacent cells, by 48 and 72 hours >70% and >90% of the MRC-5 cells were IE72 positive. In contrast, when the host cells

15.2 BURSTINESS OF TCP CONNECTION ARRIVAL PROCESSES AND ITS IMPLICATIONS In this section we discuss, on an intuitive level, the self-similarity of arrival processes and the reason why TCP connection arrival processes are self-similar. The fact that TCP connection arrivals are bursty leads to the question of how to characterize the distribution of time between arrivals of TCP connections, or the TCP connection interarrival time distribution. Finally, we discuss the implications of the burstiness on resource allocation problems. 15.2.1 Self-Similarity of Packet Arrival Processes

if severe or persistent, results in constriction of the airways. Edema and secondary infection frequently follow severe or prolonged irritation. Such damage is known to result from exposure to agents such as ozone, nitrogen oxides, and phosgene.

In the context of the Internet, the most studied arrival process is the packet arrival process Prior to the work by Leland et al [27], the Poisson model was the most commonly used model for network traf c Leland and co-workers point out that on a local-area network (LAN) the packet arrival process shows self-similar behavior An obvious pitfall of the Poisson model, compared to a self-similar model, is that its aggregation behavior differs substantially from the self-similar model; aggregated self-similar traf c stays burstier than aggregated Poisson traf c If one assumes a Poisson arrival process of packets, the amount of buffering needed in an ATM switch should be fairly small Yet, performance of ATM switches, in terms of loss rate improved signi cantly when adding larger buffers [19, 38] Willinger et al.

TABLE 16.4 Effect of BTCmPEG Concentration and Polymer Size on TMEV Infectiona Percent Control Infection BTC mPEGb 5 kDa 20 kDa 5 20 Control Infection Plaque Number 244 (100%) 216 (100%) 316 (100%) 0.2 mM 54% 44% 18% 1.2 mM 35% 29% 5% 2.4 mM 28% 13% 2% 5 mM 16% 6% <1% 10 mM 15 mM 11% 2% <1% 5% 1% <1%

Severe damage to the cells lining the airways can result in increased cell permeability, followed by cell death.

[42] explain the self-similar nature of Ethernet traf c observed on the packet level as the result of a superposition of many on=off sources (also referred to as packet trains [25]), where the lengths of the on and off periods are drawn from heavy-tailed distributions Paxson and Floyd [35] show that wide-area network (WAN) traf c at the packet level is of asymptotically self-similar nature, that is, self-similar behavior over large time scales They propose a structural model to explain the asymptotic self-similarity in terms of the characteristics of the main applications Their model is based on an M =G=I model originally due to Cox [9]: session arrivals are assumed to be Poisson or, more generally, of renewal-type; session duration (in seconds) or session size (in bytes) is required to be heavy tailed.

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