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Learning programs

Leaping techniques, 26 1048 Learning programs, steps in designing, 15 475... [Pg.516]

Paul GL, Lentz RJ. Psychosocial treatment of chronic mental patients milieu vs. social learning programs. Cambridge Harvard University Press, 1977. [Pg.98]

Classical QSAR will continue to play its part in the optimization and selection of drug candidates. A fundamental difficulty with classical (property-based) QSAR is an over-reliance on the relevance of hydrophobicity, electrostatic and simple bulk steric effects as determinants of relative potency. We know that conformation is crucially important, but this is ignored in the classical approaches. The need for a structure-based QSAR method which also incorporates conformational flexibility might be met by development of a neural network (Livingstone and Salt, 1992 So and Richards, 1992) or machine learning program (King et al., 1992). [Pg.134]

The goal of a Phase II learning program is to provide three essential pieces of information that are critical to the success of subsequent long-term confirmatory Phase III trials ... [Pg.513]

Grabenstein, J.D. Pharmacy-based Immunization Delivery Self-Study Learning Program, 5th Ed. American Pharmaceutical Association Washington, DC, 2000 5. [Pg.716]

Consider standards for language arts to be real-life and lifelong goals. As a matter of fact, Connecticut s Common Core of Learning Program puts it this way ... [Pg.47]

Fig. 8.7 The Biomarker Patterns Software. This supervised learning program performs multivariate analyses and creates tree-like structured decision diagrams by splitting the original data set into sub-groups of highest possible purity. The program calculates which signals (i.e., proteins) are best suited to act as splitters, and the splitting rules define what intensity (i.e., protein abundance) a signal must have to be sorted into one... Fig. 8.7 The Biomarker Patterns Software. This supervised learning program performs multivariate analyses and creates tree-like structured decision diagrams by splitting the original data set into sub-groups of highest possible purity. The program calculates which signals (i.e., proteins) are best suited to act as splitters, and the splitting rules define what intensity (i.e., protein abundance) a signal must have to be sorted into one...
Effort by the CMA will be needed to detect and overcome some natural, negative tendencies inherent in the site-focused management approach. It may even be necessary to limit site manager independence in selecting replacement equipment and software to ensure maximum interoperability. It is important that ECPs be shared between sites so that problems that could well affect more than one site need be solved only once and in a coordinated manner. Evidence shows that this objective has been recognized and appropriate action taken to maximize sharing under the mandatory lessons learned program. ... [Pg.64]

Lessons-learned programs are not the only way of capturing deviant conditions and potential solutions. Accident and incident reports are useful in themselves even though many form the basis for lessons learned. They alert people to potential safety issues so that the same adverse event is not repeated inadvertently. Near-miss reporting systems can be even more proactive as they allow personnel to avoid potential events as well as actual events. [Pg.65]

Voit, J.R., and C.G. Drury. 2006. Sociotechnical aspects of lessons learned programs. Proceedings of the 16th World Congress on Ergonomics. Maastricht, The Netherlands Elsevier. [Pg.67]

People are now the primary investment within organizations. As such, professional development initiatives must keep pace. Learning programs need to be more agile, adaptive and occur as quickly as possible to maximize the productivity of employees and adjust to a tech-savvy, global workforce with different learning styles. [Pg.39]


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