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Hence a total of nine rules were red to reach the recommendation that trucking should be used. In terms of system transparency, this user interface is very limited in helping us understand the reason for the recommendation. The rule trace points us to which rules are red and in what sequence, but it is dif cult to process and understand. Furthermore, it is dif cult to understand the problemsolving strategies, if any, that are used by the system, and we are not provided with the underlying domain principles that are used to justify the recommendation. In short, we do not have an appropriate mental model for how the system is working. In terms of system exibility, too, the text-based question-and-answer dialogue asks questions in a very rigid manner in a prescribed, noninterrupted sequence. This dialogue does not allow a user to explore the system in different ways to test out assumptions and in general to seek out more information. We need to do a better job with this expert system consultation. In the sections that follow we show how this human-computer dialogue can be improved to deliver more system transparency and system exibility.

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A linear regulator takes an input voltage and reduces it down to an output voltage, shedding the difference as heat (as in the Atari example above). One of the most common types is called the 7805 (Figure 3-4).

hope he s writing more of them today, because the odds are even more favorable now that the markets have fallen so much.

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hiproved patient oirtcomes: the multidisciplinary nature of ICPs, plus the emphasis on outcomes and tracking variances from expectations, leads to a review process directed to improving outcomes. Iiiiproved tearnwork: the multidisciplinary approach gives carers a better understanding of the holistic nature of the care process and their roles within it. hiproved consiste~cy: aim is to devise ICPs that lay down a generalised the standard of care. Increased pntient imolvei~ent: documented pathway follows the patient the through the care process. It therefore offers them a fuller understanding of their treatment and progress. Continuoirs audit: variance tracking provides the raw material for continuous clinical audit as well as iterative improvement of the ICP itself. Resource niaiingemeitt uiid contracting: a carefully constructed ICP can ensure that clinical tests and drugs are deployed only when they are needed and can maximise benefit. Risk nznrzugen eizt: TCPs offer the opportunity to anticipate and control risk.

Using CSS, your formatting options with <th> are practically limitless; simply de ne appropriate formatting or several formatting classes as necessary.

For Spry data regions to be truly effective, all the instances of the chosen data have to be displayed. Spry offers a number of methods for easily setting up your data to be repeated, including the Spry Repeat and Spry Repeat List objects. Both of these objects use either the spry:repeat or spry:repeatchildren attribute, like this:

REXI s most valuable operation is its 85 percent stake in LEAF Financial (LEAF s management owns 15 percent), a small equipment

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char szLineBuff[MAX_PATH]; for( int i = 0; i < dwFoundCount; i++ ) { wcstombs( szLineBuff, pFindDataArray[i].cFileName, sizeof(szLineBuff)); m_FilesList.InsertString( -1, szLineBuff ); if( m_GetCreationTime.GetCheck() ) { CTime FileCreationTime(pFindDataArray[i].ftCreationTime, -1 ); CString csBuff = FileCreationTime.Format( %A, %B %d, %Y ); sprintf( szLineBuff, %s: %s , Creation Time , csBuff.GetBuffer(csBuff.GetLength()) ); m_FilesList.InsertString( -1, szLineBuff ); } if( m_GetLastWriteTime.GetCheck() ) { CTime LastWriteTime(pFindDataArray[i].ftCreationTime, -1 ); CString csBuff = LastWriteTime.Format( %A, %B %d, %Y ); sprintf( szLineBuff, %s: %s , Last Write , csBuff.GetBuffer(csBuff.GetLength()) ); m_FilesList.InsertString( -1, szLineBuff ); } if( m_GetCEOID.GetCheck() ) { sprintf( szLineBuff, %s: %s%x , CEOID , 0x , pFindDataArray[i].dwOID ); m_FilesList.InsertString( -1, szLineBuff ); }

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Combining the three components of heat transfer in Equations 2.45, 2.47 and 2.48: qW, i, 0 (t ) = qW, i, 0, Conv (t ) + qW, i, 0, Sol (t ) + qW, i, 0, Rad (t ) = ho (To (t ) - TW , i, 0 (t )) + a W , i, 0 IT, i (t )

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