Heuristic predictions

As we see, the second liquid lacks the both factors of viscosity. This allows draw the following heuristic prediction second liquid should be very different from ordinary liquid by its higher fluidity. 

BAD (Behavioral Area-Delay Predictor) is a fast, comprehensive and integrated area-delay prediction tool which can be used to support behavioral synthesis tools [30]. BAD combines former theoretical and heuristic prediction research done at USC along with new additions around a unified statistical representation model. PERT [34] is selected as the statistical model for initial experimentation. 

For each individual mechanistic reaction type, quite an elaborate heuristic decision scheme was built to arrive at rules that allow one to make predictions on specific reaction queries. 

And other heuristic guides could kick in to give plausible, but never deductively derived, predictions . (So, for example, Paneth in the 1920s used simple reasoning based on the Periodic Table to predict that then undiscovered hafnium would occur in the same ores as zirconium. This is nonetheless a considerably looser notion of prediction than applies to standard cases from physics. See Scerri, 1994). 

Mars, W.V., Heuristic approach for approximating energy release rates of small cracks under finite strain, multiaxial loading, in Elastomers and Components—Service Life Prediction Progress and Challenges, Coveney, V., Ed., OCT Science, Philadelphia, 2006, 89. 

CPU time. In response to these slow and rigorous calculations, many fast heuristic approaches have been developed that are based on intuitive concepts such as docking [10], matching pharmacophores [19], or linear free energy relationships [20], A disadvantage of many simple heuristic approaches is their susceptibility to generalization error [17], where accuracy of the predictions is limited to the training data. 

The second challenge is to relate the desired product attributes to the material properties of the ingredients and the structure of the product. For example, the development process would have been much more efficient if a model was available to describe the behavior of cleansing bars and structured food products. Without the benefits of predictive models, as is the present status for many consumer products, extensive trial-and-error by experiments are required. Even if a comprehensive model based on first principles is not available, a combination of physical insights and heuristics can still help improve the development process. Chapters 1-2 report some new developments in this area. See also [11] for a more detailed discussion on the issues and needs related to the roles and uses of property models in product design. 

A heuristic approach to predicting the tertiary structure of hovine somatotropin PDB ID IBST... 

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