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The study of law and legal contexts, like any other eld of research and analysis, is prone to what might be called territoriality . Disciplines and schools of thought, between and within disciplines, compete to demonstrate that their own offerings constitute the only legitimate or valid approach to the genuine understanding of law and legal process. This need not be the case. The justi cation of a particular perspective on legal contexts need not necessarily entail the denial of legitimacy of alternative frameworks for the analysis of law. It should be accepted that our appreciation of legal contexts in enriched by the proliferation of approaches to the subject, from varied disciplines and a multiplicity of conceptual and methodological paradigms. However, in the context of comparing, in our case, psychological with social scienti c, or sociological, stances on the study of legal contexts, this tends not to be the case. There is indeed a high degree of territoriality at work. Thus psychologists might deride the failure of sociology to satisfy the standards of the scienti c paradigm in its varied methodologies; sociologists, in turn, may attack psychology for naivety in aspiring to apply the strictures of the natural sciences to human behaviour or for failing to see the wood (society and social processes) for the trees (human individuals). The view adopted in this chapter is that there should be no hard and fast boundaries between psychological and social scienti c approaches to the understanding of law. At times, they stand at different points on a continuum of analysis and are differentiated more on the basis of the different questions they pose, and on orientation, than on any exclusive right to the truth . It is argued here that in this respect psychology

Objective The objective is to minimize the present value of all xed and variable generation costs over the time horizon of the study. The decision variables available for attaining this objective are retirement of existing units and construction of new units. Constraints 1. New construction cannot come on line in advance of its completion time. 2. There must be suf cient resources to meet forecasted load, primary reserve, and secondary reserve requirements over the time horizon of the study. 3. All constraints from Section 4.6, modi ed for the selected time blocks

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In web work, your work is distributed across people, computers, and applications, so you have relatively less need for unbroken focus and more need for connection. This makes it possible to stay in close contact with colleagues and friends, communicating regularly with tools like instant messaging, while still maintaining high output of work products. With social productivity, you don t firewall your attention. Instead, you open it up, and keep your attention fluid and flexible, making yourself available for interruptions and interactions with other people. Microsoft researcher and cognitive psychologist Mary Czerwinski has found in her research on task performance that smoothly functioning groups of people can achieve higher group level productivity by remaining connected, although at a cost to individual productivity. She calls this social cognition : distributing the work and thought over multiple people who are in constant connection.* Table 3-3 shows some differences between firewall mode productivity suited for knowledge work and social productivity suited for web work.

If ITX denotes the current owing from the transmission line section in to the crossing section, then the currents Ii owing in the driven line after seeing the ith crossing line are given by I1 ITX and so on until In In 1

Text files in the Unix world use a different end-of-line character (\n) than those used in the DOS/Windows world (\r\n). You can view these special characters in a text file with the od command:

Another hazard shape that is important is a hazard function that is rst increasing and then decreasing. In the medical context, such a hazard arises in patients recuperating after surgery. Immediately after surgery, their risk for complications is increasing and, after a few days, it starts to decrease and tapers off. In the engineering context, this works for new systems that are just put on line. Suppose that we have just put a new aircraft into service. The hazard is initially increasing on early sorties while the crew are learning the aircraft and working out any kinks. After this learning curve, the hazard decreases and is constant for its useful-life period until aging effects set in. Aalen and Gjessing (2001) provide a framework for understanding hazard function shapes that is applicable to time to event data. Most reliability and survival analysis books contain descriptions of various probability models used for lifetime data, and their survivor or reliability functions, and hazard functions. Some introductory books on survival analysis are Collett (1994), Cox and Oakes (1984), Klein and Moeschberger (1997), or Therneau and Grambsch (2000). In the reliability context, see Ansell and Phillips (1994), Ascher and Feingold (1984), Barlow and Proschan (1975), Crowder et al. (1991), Hoyland and Rausand (1994), Martz and Waller (1982), Meeker and Escobar (1998), Nelson (1990), or Wolstenholme (1999). In addition, most of the common lifetime distributions are available in statistics programs such as Minitab, R, S-plus, matlab, sas, maple, and with some skill, even in excel. Readers might nd it useful to plot densities, survivor or reliability functions, and hazard functions for various parameter values for different distributions.

Whole attack lasts less than 10 seconds Young person Sudden onset, sudden end . . . switch-like Unaware, still, staring May occur several times a day

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