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Searle, J. (1990). Intentionality. New York: Cambridge University Press. Shevrin, H., William, W. J., Marshall, R. E., Hertel, R. K., Bond, J. A., & Brakel, L. A. (1992). Event-related potential indicators of the dynamic unconscious. Consciousness and Cognition, 1, 340 366. Solms, M. (2002). An introduction to the neuroscientific works of Sigmund Freud. In G. Van De Vijver & F. Geerardyn (Eds.), The pre-psychoanalytic writings of Sigmund Freud (pp. 25 26). London: Karnac Books. Solms, M. (Ed. & Trans.). (Forthcoming). The complete neuroscientific works of Sigmund Freud. London: Karnac Books. Solms, M., & Saling, M. (Eds. & Trans.). (1990). A moment of transition: Two neuroscientific articles by Sigmund Freud. New York: Karnac Books. Solomon, D. (1994, August 14). Meyer Schapiro. New York Times Magazine, 22 25. Stephan, A. (1989). Sinn als bedeutung: Bedeutungstheoretische untersuchungen zur psychoanalyse Sigmund Freud s [Sense as meaning: Meaning-theoretic researches concerning Sigmund Freud s psychoanalytic theory]. Berlin, Germany: Walter de Gruyter. Storr, A. (1986). Human understanding and scientific validation. Behavioral and Brain Sciences, 9, 259 260. Thom , H., & K chele, H. (1987). Psychoanalytic practice (Vol. 1). Berlin, Germany: SpringerVerlag. Vaughan, S., & Roose, S. (1995). The analytic process: Clinical and research definitions. International Journal of Psycho-Analysis, 76, 343 356. Von Eckardt, B. (1985). Adolf Gr nbaum: Psychoanalytic epistemology. In J. Reppen (Ed.), Beyond Freud: A study of modern psychoanalytic theorists (pp. 353 403). Hillsdale, NJ: Analytic Press. Walker, F. (1962). The man Verdi. New York: Alfred A. Knopf. Zentner, M. (1995). Die f lucht ins vergessen: Die anf nge der psychoanalyse Freud s bei Schopenhauer [Escape into forgetting: The beginnings of Freudian psychoanalysis in the work of Schopenhauer]. Darmstadt: Wissenschaftliche Buchgessellschaft.

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The way in which this genetic material is used by individual sensors will be discussed in detail later in the chapter. For a more detailed discussion and applications to securing sensor networks we refer the interested reader to refs. [26] and [27]. 4.3 STRUCTURE AND ORGANIZATION OF A WIRELESS SENSOR NETWORK We envision a massive deployment of sensors, perhaps in the thousands or even tens of thousands. The sensors are aggregated into sophisticated computational and communication infrastructures, called wireless sensor networks, whose goal is to produce globally meaningful information from data collected by individual sensors. However, the massive deployment of sensors, combined with anonymity of individual sensors, limited energy budget and, in many applications, a hostile environment, pose daunting challenges to the design of protocols for wireless sensor networks. For one thing, the limited energy budget at the individual sensor level mandates the design of ultralightweight communication protocols. Likewise, issues concerning how the data collected by individual sensors could be queried and accessed, and how concurrent sensing tasks could be executed internally, are of particular signi cance. An important guideline in this direction is to perform as much local data processing as possible at the sensor level, avoiding the transmission of raw data through the network. Indeed, it is known that it costs 3 J of energy to transmit 1 kb of data a distance of 100 m. Using the same amount of energy, a general-purpose processor with the modest speci cation of 100 million instructions/watt executes 300 million instructions [20,21]. As a consequence, the wireless sensor network must be multihop, and only a limited number of the sensors count the sink among their one-hop neighbors. For reasons of scalability, it is assumed that no sensor knows the topology of the network. 4.3.1 Interfacing Wireless Sensor Networks

d. In Year 2004, the restaurant s operating income (before tax) is 6.9 percent of total sales revenue. To increase operating income to 10 percent, how many extra guests are required

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3. Scale equivalence: Some cultures are not familiar with the principle of scaling their behavior. They may not be able to differentiate among being sad sometimes, often, or all the time. They can react to a question with only a yes or no answer. 4. Norm equivalence: Patients should be evaluated against culturally applicable norms. Each culture has it own standards for normal and abnormal behavior. There isn t such a thing as a universal set of norms.