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Despite his lack of formal training in psychology, Binet was a proli c contributor with over 200 books, articles, and reviews on a wide range of psychological subjects to his credit Binet is, of course, best known for his contributions to the assessment of intelligence (Binet & Simon, 1905), but he was much more than the father of IQ testing He anticipated a number of Piaget s views, for example, that cognitive development is a constructive process, that its purpose is adaptation to the physical and social worlds, that children assimilate new experiences to existing ways of thinking, and that intelligence pervades all activities Moreover, he made major contributions to various areas of memory, particularly suggestibility and eyewitness testimony, children s memory for prose, and the role of memory in mental calculation expertise (Binet, 1894, 1900) Binet designed and conducted a variety of memory experiments.

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At the same time, he recognized the need to apply convergent methodological approaches to solve psychological problems Our psychology is not yet so advanced that we can limit our analyses to information attained in the laboratory (Binet, quoted in Cairns, 1983) It is interesting.

Ana Chavarria, front of ce manager of The Times Hotel, and Lorraine DeSantes, the hotel s director of marketing, learn that their city will be hosting the next Olympic Games. The city council and the tourism board are planning to meet to work on a program to ensure that quality service will be delivered by all agencies, private and commercial, to the many guests. There will be individual groups (hotels, restaurants, public transportation, etc.) that will meet and decide on a course of action. Margaret Chu, general manager of The Times Hotel, wants Ana and Lorraine to represent the hotel on the Hotel Hospi-

uctuations in the atmosphere. One has to only look at clouds to see the highly localised aerosols that can result from this variability. The variability is not adequately addressed in theories and codes that attempt to calculate aerosol production of these materials, including water and the process of cloud formation. The origin of this variability is atmospheric mixing during which vapour diffusion and sensible heat conduction take place. Atmospheric turbulent velocities alone cannot be responsible, as they transport vapour concentration and heat simultaneously, as was pointed out by Clement [24]. To see this explicitly, we give the following equation for the difference between the actual vapour concentration and its equilibrium value at the local temperature, u = c c e (T ) (3.106)

The localization problem for sensor networks is to reconstruct the positions of all of the sensors in a network, given the distances between all pairs of sensors that are within some radius r of each other In the past few years, many algorithms for solving the localization problem were proposed, without knowing the computational complexity of the problem Aspnes et al [24] showed that no polynomial-time algorithm can solve this problem in the worst case, even for sets of distance pairs for which a unique solution exists, unless RP NP Although the designs of the previous schemes have demonstrated clever engineering ingenuity, and their effectiveness is evaluated through extensive simulations, the focus of these schemes is on algorithmic design, without knowing the fundamental computational complexity of the localization process.

thought to allow an ef ciency and speed of response to a stimulus that may not be possible from a less directly controlled system. Although it is now recognized that a wide range of behaviors are controlled via command neurons, which are in turn organized in a variety of ways, the most thoroughly described system is that which elicits the tail- ip escape response of the cray sh. Historically this behavior has some importance too, being the rst to be described using the term command neuron when it was coined in 1964 by C.A.G. Wiersma.