A three-part system that determines the correct power for an intraocular lens (IOL) to achieve a desired postoperative refraction is presented. The three components are (1) data screening criteria to identify improbable axial length and keratometry measurements, (2) a new IOL calculation formula that exceeds the current accuracy of other formulas for short, medium, and long eyes, and (3) a personalized "surgeon factor" that adjusts for any consistent bias in the surgeon's results, from any source, based on a reverse solution of the new formula; the reverse solution uses the postoperative stabilized refraction, the dioptric power of the implanted IOL, and the preoperative corneal and axial length measurements to calculate the personalized surgeon factor. The improved accuracy of the new formula was proven by performing IOL power calculations on 2,000 eyes from 12 surgeons and comparing the results to seven other currently used formulas.

An extended case study of a recent merger between two mutual savings banks is studied from the perspective of organizational culture. Data on organizational culture and organizational climate are analyzed from pre- and post-merger interviews, observations, archival information, and survey questionnaires. Results suggest that even within the same industry, there are major difficulties in trying to merge two different though viable organizational cultures.

It is sometimes claimed that genetic algorithms using diploid representations will be more suitable for problems in which the environment changes from time to time, as the additional information stored in the double chromosome will ensure diversity, which in turn allows the system to respond more quickly and robustly to a change in the fitness function. We have tested various diploid algorithms, with and without mechanisms for dominance change, on non-stationary problems, and conclude that some form of dominance change is essential, as a diploid encoding is not enough in itself to allow flexible response to change. Moreover, a haploid method which randomly mutates chromosomes whose fitness has fallen sharply also performs well on these problems.

Using the University of Wisconsin Donation After Cardiac Death Evaluation Tool, we were able to predict suitability for donation after cardiac death 83.7% of the time, within a 60-minute period and 74.4% of the time within a 120-minute period. The actual results using the tool were higher when clinical observations were included in the donation after cardiac death evaluation--an overall accuracy of 88.4%.