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While you re viewing session information in the AMC, the information that appears in the console s details pane appears in a tabular format to help you identify the various types of sessions and the users associated with them (see Figure 18-10). The following information for each session is shown: Name Displays the type of session and a session number.

Primary Discussion Item 3: Discuss next steps Finally, the meeting needs closure. This involves clarifying what the next steps will be for the learner and developer for example, topics and logistics of forthcoming coaching meetings, new goals or revisions of earlier goals as a result of the data, and any actions the learner or developer should take as an outgrowth of the data-feedback meeting. Some developers and learners may want to proceed directly to Coaching Stage 4 (Challenging) and Coaching Stage 5 (Changing) as part of the datafeedback meeting. This can work well with some learners, especially those who have already made great strides through their coaching experience and are highly motivated to change. However, with most learners, allowing some time away to consider what has been said and what they want to do in response is highly beneficial. This is referred to as soak time, a period that allows for reflection and integration. In addition, some learners may appear agreeable and even compliant during the feedback discussion, then return later with strong negative reactions or misinterpretations of what was said. For these reasons, it is generally advisable to separate communicating the data from challenging growth and planning for the changes needed.

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The output from the program is shown here:

Many software packages contain procedures for evaluating B-splines (deBoor, 1977; Foy, 1977). Packages such as MatLab (The Math Works, Inc.) and the IMSL software (Visual Numerics) are easily accessed and widely used. At present MatLab is limited in its exibility for handling spline functions, but the IMSL routines are fully capable of handling the procedures described here. Due to the general availability of these resources, the details of spline evaluation and equation solving will be omitted here and we will move directly to the issue of application. example applications: A series of examples to illustrate the application of the spline method to cam motion synthesis follows. The examples, taken collectively, show how the approach provides a consistent and systematic procedure that can be used to accomplish several different aims that usually have to be approached using different procedures. It will be shown that the method is as easy to apply and is as effective in routine cases as are the more conventional approaches. It will also be shown that the same procedure can be applied in more demanding circumstances without modi cation. The examples also serve to demonstrate the mechanics of applying the spline approach.

6:

To come to grips with this rather abstract formulation, we begin to examine some properties of this new notion of exponentiation: If a is a positive number and b is any real number then (1) ln(a b ) = b ln a. In fact ln(a b ) = ln(exp(b ln a)). But ln and exp are inverse, so that the last expression simpli es to b ln a. EXAMPLE 6.14

We present the following income producer plan types: 1. Flat commission 2. Ramped commission 3. Residuals/Trailing/Back-end payouts 4. Pools 5. Multi-tier marketing

The rst six hexadecimal digits of a MAC address form the OUI. MAC addresses need to be unique only within a broadcast domain, which includes

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Using Excel s own commands, add four more sheets and label them:

an na"-'b n(n-l)anP2b2 + +... forb2 < a 2 . Binomial expansion (a + b) = -+ O! I! 2!

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