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climatic settings. For instance, both Table 2.1 and Figure 2.1 provide strong evidence for the occurrence of recharge even in the most arid of regions. However, they do not answer the question which immediately arises from this observation: how can it be that signi cant recharge occurs in both humid and arid regions, given the vast differences in soils and climatic conditions between the two Are the processes of recharge the same in all regions, irrespective of their degree of aridity To answer such questions it is necessary to delve a little more deeply into the processes by which recharge actually occurs (Lerner et al. 1990). Where rainfall landing on the soil surface soaks downwards immediately below its point of impact, passing beyond the root-suction base and continuing all the way to the water table (Figure 1.4), then it is said to constitute direct recharge. By contrast, where rainfall fails to soak into the soil surface on which it rst lands and becomes surface runoff instead, but then subsequently does enter the subsurface at some distance from its point of initial impact (thereafter soaking on down to the water table), then it is said to constitute indirect rechargei (Lerner et al. 1990). Two distinct modes of indirect recharge are recognized (e.g. de Vries and Simmers 2002), essentially differing only on the basis of the geomorphological scale at which the surface runoff and subsequent in ltration occur:

Beyond the standard recording schedule options that enable you to record a particular show once, at a specific time slot every day, at a specific time slot on a specific day, or any time a show runs, to name a few possible scheduling options, you can also build more complex recording schedules, using the Custom Record option found on the Manage Recordings Schedule Recordings page of the frontend. Included on the Power Search Recording Rule Editor page under the Custom Record option are a number of canned examples for possible recording schedules (see Figure 15-11), which anyone with a bit of SQL experience can recognize essentially as SQL queries, run against data stored in MythTV s MySQL database. You can combine any number of the example queries on this page to build a very specific query; for example, you might want to record all movies showing on HBO that contain the word Space in their titles, subtitles, or program descriptions, and released after the year 2000. The custom query string for such a schedule is as follows:

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Click the Start button in the lower-left corner of Windows. Click the Control Panel. (If you don t see this option, then your Start menu is in classic mode. In that case, click Settings, and then select the Control Panel.) If the Control Panel is in category view, click the User Accounts category. If the Control Panel is in classic view, simply double-click the User Accounts icon. A window opens. Click the Advanced tab. Under the Secure Logon heading, put a checkmark in the Require users to press Ctrl+Alt+Delete box. Click Apply. Click OK.

Figure 15-8

carried out in a batch or recursive mode and can be effectively used in multiple evolving system applications (eg, medical diagnostics and monitoring, data mining, fault diagnostics, pattern recognition, etc) The second part of the book is comprised of four chapters discussing different applications of EIS 14, Evolving Inferential Sensors in Chemical Process Industry, is authored by Plamen Angelov of Lancaster University, Lancaster, UK, and Arthur Kordon of the Dow Chemical Company, Freeport, Texas, USA The chapter de nes an interesting and promising area of evolving system applications design of inferential sensors Inferential (soft) sensors are widely used in a number of process-monitoring and control applications as a model-based estimator of variables that are not directly measured.

reflect the manner in which a range of skills is effectively integrated to achieve the goal in question For example, in many team sports a player who lacks exceptional speed or agility may compensate by being good at reading the game or by developing exceptional technical skill when in possession of the ball The key issue, therefore, is whether the development of each skill should be guided by its own unique theory, or whether there is sufficient similarity across skills such that a unified theory of expertise could be deemed viable A related question is whether coaches and others who mentor elite athletes attempt to develop skills or to enhance performance In our experience, most coaches attempt to develop specific skills in the hope that any improvements lead to a positive change in performance Put slightly differently, to improve performance coaches must develop the skills required to succeed.

Autonomy Situational Level Situational factors Competence Relatedness Situational Motivation IM, EM, AM

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