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Psychological Issues among Terminal Patients Cancer patients in the terminal phases of illness are especially vulnerable to both psychiatric and physical complications Suicide is also more prevalent during such advanced stages For example, Farberow, Schneidman, and Leonard (1963) found that out of several hundred suicides studied, 86% occurred in the preterminal or terminal stages of illness Persistent pain and terminal illness were also the most requested reasons for wanting physician-assisted euthanasia (Helig, 1988) Patients may go through a grieving process as they face their own mortality and the impact of their death on family and friends Some patients may experience emotional distress including symptoms of guilt, anger, depression, and anxiety It appears to be the process of dying, more than death itself, that is feared most by the cancer patient (Cramond, 1970) Fear may prevent patients from discussing these concerns with their physicians or others.



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10. If D2 < x2 or Mp < Mmin, then do the following: n;b pk 10.1. Update the parameters of the pth cluster: vp;new vp;old a xk vp;old

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Food and/or Beverage Cost Percentage This is expressed as a percentage of the related revenue as illustrated and discussed in the previous chapter using Exhibit 3.4. The cost percentages can be compared with a standard or predetermined cost percentage established as a goal in the forecasted operating budget. Any major deviations from standard to actual cost percentages should be investigated. Labor Cost Percentage Labor cost includes employee benefits and is expressed as a percentage of related revenue. With reference to Exhibit 3.4, in Year 0003 and Year 0004 the labor cost percentage is (Salaries and wages Year 0003: ($277,400 Year 0004: ($304,500 Employee benefits) / Total sales revenue $311,900 / $851,600 $342,300 / $869,100 36.6% 39.4%

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8,817 2,917 13,090 42,741 $ 67,565 82,517 $150,082 $ 30,000

Aj(B) S Aj(A)

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The input vector xn would be assumed to have been appropriately clustered by existing fuzzy rules or EBF neurons if the ring strength of at least one neuron is greater than 0.1354. This condition would ensure that no individual input can have a fuzzy membership grade less than 0.1354, and thus the e-completeness of fuzzy rules (Lee, 1990), with e 0:1354, would be satis ed. It is also to be noted that for a Gaussian membership function MF cij ; sij the membership grade is 0.1354 for the inputs at cij 2sij . Assuming a normal input data distribution, 95% of input data belonging to this membership function will lie within the input range cij 2sij ; cij 2sij .

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STS-3c concatenated SPE. (From Ref. 2, courtesy of Hewlett-Packard.)

2.1.2.1 Nonreplicated, Nonfragmented This design alternative allows a designer to place different tables of a given database at different sites. The idea is that data should be placed close to (or at the site) where it is needed the most. One bene t of such data placement is the reduction of the communication component of the processing cost. For example, assume a database has two tables called EMP and DEPT. A designer of DDBMS may decide to place EMP at Site 1 and DEPT at Site 2. Although queries against the EMP table or the DEPT table are processed locally at Site 1 and Site 2, respectively, any queries against both EMP and DEPT together (join queries) will require a distributed query execution. The question that arises here is, How would a designer decide on a speci c data distribution The answer depends on the usage pattern for these two tables. This distribution allows for ef cient access to each individual table from Sites 1 and 2. This is a good design if we assume there are a high number of queries needing access to the entire EMP table issued at Site 1 and a high number of queries needing access to the entire DEPT table issued at Site 2. Obviously, this design also assumes that the percentage of queries needing to join information across EMP and DEPT is low. 2.1.2.2 Fully Replicated This design alternative stores one copy of each database table at every site. Since every local system has a complete copy of the entire database,

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