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Kretschmer s work was continued by Sheldon (1942), who saw similarities between the three body types and the three basic layers of tissue that compose the embryo: ectoderm, mesoderm, and endoderm The endoderm develops into the soft parts of the body, the mesoderm eventually forms the muscles and skeleton, and the ectoderm forms the nervous system Each embryonic layer corresponds to a particular body type and is associated with the expression of certain normal-range personality characteristics Accordingly, endomorphs, who tend toward obesity, were believed to be lovers of comfort and to be socially warm and goodwilled Mesomorphs, who usually resemble athletes, were believed to be competitive, energetic, assertive, and bold Ectomorphs, who tend toward thinness, were believed to be introversive and restrained but also mentally intense and restless Although interesting, the idea of body types is no longer influential in personality theory.

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Rather than study the total organization of the body, researchers have begun to examine the role of individual anatomical structures in detail, many of which lie in the human brain..

10

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T H E I M P L I C AT I O N S O F P O P U L AT I O N G E N E T I C S F O R P H A R M AC O G E N O M I C S

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Table 152 (or 153) should make it clear that days lost rate is the major source of uncertainty The 5% decrease implied by the midpoint value of the lay rate distribution relative to the base value is important, as is the 5% increase in the midpoint value of the cost rate distribution However, re ning the basis of these adjustments is a low priority relative to re ning the basis of the 712 (725) days lost per month adjustment, because of the size of that adjustment and its associated variability In any re nement of the rst pass of the last section, days lost rate is the place to start Within days lost rate uncertainty, Table 152 (or 153 or Figure 15.

An obvious spike also shows alerts The The main graph line doesn t seem to indicat any major changes, but there indicate were 20 alerts on this day

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2) should make it clear that weather is the dominant source of uncertainty in terms of the six-day increase in the midpoint value relative to the base value (Ej contribution) In Ej terms weather is an order of magnitude more important than supplies , the next most important issue To re ne the E1 6 estimate there is no point in simply re ning the shape of the assumed distribution (with or without attempting to obtain data for direct use in re ning the shape of the assumed distribution) Implicit in the Table 152 estimate is pipe laying taking place in an average month , perhaps associated with the summer season plus a modest proportion in shoulder seasons This average month should be roughly consistent with the Table 154 duration midpoint of just 463 months However, the range of 276 months to 15.

38 months makes the average month concept inherently unreliable because this range must involve non-average winter months To re ne the E1 6 estimate it is sensible to re ne the average month concept The rst step is to estimate an empirical days lost distribution for each month of the year, using readily available wave height exceedence data for the relevant sea area and the assumed barge s nominal wave height capability The second step is to transform these distributions into corresponding productive days distributions A Markov process model can then be used to derive a completion date distribution given any assumed start date (Chapman and Cooper, 1983a), with or without the other days lost rate issues and the lay rate issues of Table 152 (Table 153) Standard Monte Carlo simulation methods, discrete probability, or CIM (Controlled Interval and Memory) arithmetic (Cooper and Chapman, 1987) can be used.

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An understanding of Markov processes should make it clear that over the number of months necessary to lay the pipeline the variability associated with weather , supplies , and equipment will largely cancel out on a swings and roundabouts basis despite signi cant dependence (expected value effects will not cancel out) This should reduce the residual variability associated with these issues to the same order of magnitude as lay rate and cost rate uncertainty However, buckles involves an extreme event that has to be averaged out over contracts, not months on a given contract A provision must be made for buckles in each contract, but when one happens its cost is not likely to be recovered on that contract, and it would endanger winning appropriate bids if attempts were made to avoid making a loss if a buckle occurs..

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