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Koch s postulates ful lled for SARS virus Nature 2003, 423, 240 62 Stadler, K; Masignani, V; Eickmann, M; Becker, S; Abrignani, S; Klenk, H-D; Rappuoli, R SARS beginning to understand a new virus Nat Rev Microbiol 2003, 1, 209 218 63 Thiel, V; Ivanov, K A; Putics, A; Hertzig, T; Schelle, B; Bayer, S; Weissbrich, B; Snijder, E J; Rabenau, H; Doerr, H W; Gorbalenya, A E; Ziebuhr, J Mechanisms and enzymes involved in SARS coronavirus genome expression J Gen Virol 2003, 84, 2305 2315 64 Li, W; Moore, M J; Vasilieva, N; Sui, J; Wong, S K; Berne, M A; Somasundaran, M; Sullivan, J L; Luzuriaga, K; Greenough, T C; Choe, H; Farzan, M.

E[fi 1 ], then the previous relation becomes pi + (1 pi )i2 = pi 1 + (1 pi 1 )(i 1)2 (15.7)

DoControl(aFn) DoControl(aFn, a1) DoControl(aFn, a1, a2)

In reference 15 we show how to solve the above recurrence. Theorem 15.5.5. If E[fi ] E[fi 1 ], 3 i n, then the one-hop forwarding probability, guaranteeing energy balance, is pi = 1 3x (i + 1)(i 1)

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Angiotensinconverting enzyme 2 is a functional receptor for the SARS coronavirus Nature 2003, 426, 450 454 65 Wong, S K; Li, W; Moore, M J; Choe, H; Farzan, M A 193-amino acid fragment of the SARS coronavirus S protein ef ciently binds angiotensin-converting enzyme 2 J Biol Chem 2004, 279, 3197 3201 66 Sui, J; Li, W; Murakami, A; Tamin, A; Matthews, L J; Wong, S K; Moore, M J; St Clair Tallarico, A; Olurinde, M; Choe, H; Anderson, L J; Bellini, W J; Farzan, M; Marasco, W A Potent neutralization of severe acute respiratory syndrome (SARS) coronavirus by a human mAb to S1 protein that blocks receptor association Proc Natl Acad Sci USA 2004, 101, 2536 2541 67 Towler, P; Staker, B; Prasad, S G; Menon, S.

DoControl(aFn, 0, 0) DoControl(aFn, a1, 0) DoControl(aFn, a1, a2)

where p2 = x (0, 1) a free parameter and p1 = 0. We note that the assumption E[fi ] E[fi 1 ] is quite reasonable and wellmotivated. We provide the following intuitive explanation of why this happens. Note indeed that the area sizes of adjacent sectors (and thus the number of events generated in such sections) are more or less the same, especially when i increases. Furthermore, the probability pi of forwarding to the adjacent (towards the sink) sector increases very fast with i and becomes 1 in most sectors of the network (in the middle territory).

; Tang, J; Parsons, T; Ryan, D; Fisher, M; Williams, D; Dales, N A; Patane, M A; Pantoliano, M W ACE2 X-ray structures reveal a large hinge-bending motion important for inhibitor binding and catalysis J Biol Chem 2004, 279, 17996 18007 68 Anand, K; Ziebuhr, J; Wadhwani, P; Mesters, J R; Hilgenfeld, R Coronavirus main proteinase (3CLpro) structure: basis for design of anti-SARS drugs Science 2003, 300, 1763 1767 69 Chou, K-C; Wei, D Q; Zhong, W-Z Binding mechanism of coronavirus main proteinase with ligands and its implication to drug design against SARS Biochem Biophys Res Commun 2003, 308, 148 151 70 Yang, H; Yang, M; Liu, Y; Lou, Z; Zhou, Z; Sun, L; Mo, L; Ye, S; Pang, H; Gao, G F; Anand, K.

15.6 VTRP: THE VARIABLE TRANSMISSION RANGE PROTOCOL 15.6.1 Introduction The VTRP protocol has been proposed by T. Antoniou et al. [16]. They study the problem of multiple event detection and propagation that is, the local sensing of a series of crucial events and the energy-ef cient and fault-tolerant propagation of data reporting the realization of these events to a ( xed or mobile) control center. The control center could in fact be some human authorities responsible for taking action upon the realization of the crucial event. We use the term sink for this control center. We note that this problem generalizes the single event propagation problem (with respect to references 5, 8, and 15) and poses new challenges for designing ef cient and fault-tolerant data propagation protocols. The new protocol we present here can also be used for the more general problem of data propagation in sensor networks (see reference 10). The basic innovation in our protocol is to vary the range of data transmissions. This feature aims at better performance, compared to typical xed transmission range data propagation, in some rather frequently occurring situations such as the following: (a) The case of low densities of sensor particles. In such networks, xed-range protocols may trap in backtracking actions when no particles toward the sink are found. Our protocol, by increasing the transmission range, may nd such particles and avoid extensive backtracking.

Request(aFn, 0, 0) Request(aFn, a1, 0) Request(aFn, a1, a2)

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