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members of the colony. Through this behavior ants communicate information about the location of food to one another. However, the members of at least one other species use the information contained within these trails. Leptotyphlops is a snake that uses these trails to lead it to its main prey ants. Clearly ant-toant communication takes place through these trails and through trail laying behavior, but does communication take place between the ant and the snake In common with a great many authors I would argue that it does not. The trail has been produced with the primary function of facilitating information transfer between ants, and the behaviors of all of the ants involved are adapted to maximize the ef ciency of information sending and receiving between them. The trail was not however laid down to communicate the presence of the ants to the snake. The snake does make use of information encoded within the trail, but that information was not intentionally transmitted to the snake. And this is the important point. In the context of this chapter I would therefore de ne communication as, the voluntary or involuntary sending and receiving of signals, that are likely to have evolved for this purpose, between individuals that are committed to maximizing the ef ciency of the transfer of information between them. Take note that this de nition does not make assumptions about the honesty or otherwise of the information that is transferred. Also note that in the de nition I refer speci cally to signals as behaviors that are likely to have evolved to enable communication.

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In outline, our protocol proceeds as follows Since n is known, the n stations are partitioned into n/log n groups and each such group is initialized individually Once the groups have been initialized the exact number of stations in each group is also known At this point by solving the instance of the prefix sums problem consisting of the number of stations in each group, the stations can update their local ID within their own group to the desired ID The details are spelled out as follows Protocol Energy-efficient-initialization Step 1 Each station selects uniformly at random an integer i in the range [1, (n/log n)] Let G(i) denote the group of stations that have selected integer i Step 2 Initialize each group G(i) individually in t(4 log n, n2) time slots Step 3 Let Ni denote the number of stations in group G(i).

This is measured as the total delay that a PDU incurs (since it is generated) while waiting in the queues along the route to a gateway BS.

HEALTH OUTCOMES OF STRESSFUL LIFE EVENTS Does stress cause illness Individuals are confronted with a great number of taxing situations, for instance, a noisy neighborhood, dif culties at work, time pressure, problems with a romantic partner, or nancial constraints This list might seem to be an arbitrary array of situations In fact, probably not everyone would consider these situations as being stressful or of great personal importance However, the cumulative exposure to a number of aggravating daily hassles or situations regarded as stressful over a long time period may have detrimental health effects In contrast, there is no doubt about the personal signi cance of major life events and their potential impact on health Extreme stressors can create both acute and prolonged psychological distress and bodily ailments Research is inconsistent when it comes to answering the question of whether the characteristics of the event itself (eg.

By computing the prefix sums of N1, N2, , N(n/log n) every station determines, in the obvious way, its global ID within the RN Clearly, Step 1 needs no transmissions Step 2 can be performed in (n/log n)t(4 log n, n2) time slots using protocol Initialization-with-CD as follows: the stations in group G(i), (1 i n/log n), are awake for t(4 log n, n2) time slots from time slot 2 (i 1) t(4 log n, n ) + 1 to time slot i t(4 log n, n2) Outside of this time interval, the stations in group G(i) are asleep and consume no power As we are going to show, with high probability, no group G(i) contains more than 4 log n stations To see that this is the case, observe that the expected number of stations in G(i) is E[Ni] = n log n/n = log n.