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Historically, behavioral health services for children and adolescents have lagged behind adult services both in development of service systems and funding of research. However, the past 2 decades have seen an explosion of interest in child and adolescent services. This increased interest has been fueled by a number of factors including the changing demographics of the baby boom generation, high-profile tragedies involving school-age children, and provocative observations and findings concerning the status of the existing service system (Knitzer, 1982). As a result of efforts over the past 20 years, several evidence-based treatment approaches have been identified for children and adolescents. These treatments can be divided into those that are provided as office-based outpatient services and those that involve providing services in the home and community. Initially, we review treatments that are designed for administration as outpatient services. Following this review, two home- and community-based practices multisystemic treatment and wraparound are reviewed.

In order to facilitate planning, this model includes additional entities to record various standards regarding different types of work efforts for the purposes of planning (see Figure 6.11). This data model provides information about what types of skills, what goods, and what types of fixed assets are needed for various types of work efforts. These metrics can be used to predict the resources needed for the scheduled work efforts, so that the organization can properly prepare. Figure 6.11 shows the standards that apply to each WORK EFFORT TYPE. Each WORK EFFORT TYPE may have standards regarding the types of skills that are generally needed to accomplish the effort (WORK EFFORT SKILL STANDARD), the type of goods or parts that are needed within the work effort (WORK EFFORT GOOD STANDARD), and the types of fixed assets needed to accomplish the work effort (WORK EFFORT FIXED ASSET STANDARD). These standards would need to be determined by the enterprise and entered using these structures. This information can then be used for scheduling resources and estimating time and costs for each work effort. Additionally it can be used to compare actual skills, goods, and fixed asset usage against the standards. Each of these standards entities has attributes that define expected needs for that type of work effort. The WORK EFFORT SKILL STANDARD maintains the estimated num people, which records how many people of that skill type are typically needed for that type of work effort. The estimated duration records how long the skill is needed for the work effort type. The estimated cost is an estimation of how much this type of skill will cost for the associated work effort type.

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where BE is initialized to macMinBE and is incremented by one until aMaxBE is reached after each unsuccessful backoff attempt. Note that CCA is performed twice only if the rst CCA is assessed to be clear. Thus, 3 CCA analyses are performed for 2 each backoff attempt. TIR is the transient time from idle mode to receive mode, and tCCA is the CCA analysis time. It is assumed that a radio is in the idle mode during backoff time. Let E BOT denote the total backoff energy, which can be approximated as 3 E BOT = r (tIR + tCCA )(PCCA PI ) + tBOT PI , 2 (4.78)

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analysis and multiple discriminant analysis (MDA) are two statistical techniques that have been used thus far.

functional world, starting outside the system and moving inside the system. The technical view addresses standards and conventions. Each of three views has a number of products, which are subviews for that higher level view that capture a subset of the entities and relationships relevant to the view. It is important to conceive of the DoDAF as containing a central database of all the entities and relationships. Each product of each view is then a representation of a subset of that central database. The developers of the DoDAF strove to create a structure that would work for any type of system. Unfortunately, that produced a framework that is too complex and extensive for any speci c system. References include Levis and Wagenhals [2000] and Dam [2006]. 1.4.4 SysML

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