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This chapter uses an example to illustrate how advanced predictive models can be used to predict malfunctions within processes and even before such situations occur.
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In comparison to diagnosis using X-ray images, which only show bone callus growth, strain monitoring is more effective in guiding rehabilitation exercises, predicting implant malfunction, and allows continuous monitoring of the healing process[4].
The obtained results suggest that the dynamic simulation models are capable to reliably predict the system response to failure malfunctions and to modifications in design and control structures.
Mutations in SIL1 gene are thus predicted to cause malfunction of HSPA5 leading to misfolding and dysfunction of HSPA5 substrates, resulting in loss of function of the substrates.
Part of this work is about locating and maximizing the return on natural resources, but it's also about making sure the equipment runs and runs well, with models that predict wear and maintenance schedules, which could stop major malfunctions before they ever occur.
An expert system for monitoring web servers has been implemented based on the novel approach; moreover, an experiment on an educational system has shown the superiority of the expert system in predicting and handling possible malfunctions or anomalies of web service systems.
By adopting the handling interface shown in Fig. 6, it is possible to predict the user's intended movement as well as three operations that cause malfunction: grasping, twisting, and leaning on the robotic cart.
U.S. officials may have set low expectations for President Barack Obama's journey to Israel, but even the lowest expectations would not have predicted the president's vehicle malfunctioning.
The crucial point is that in the life sciences, some biological system can fail to behave as a theory predicts without impugning the prediction: we can say that the system is malfunctioning.
More specifically, the profiles for signaling molecules from data are compared to the profiles predicted from kinetic models regarding the malfunction of individual reactions.
In order to find an alternative to the existing oversimplistic mathematical models, a kinetic model is developed in this work to infer the malfunctioning reactions/molecules by quantifying the similarity between the clinical profile and the output profiles predicted from the model in which certain reactions/molecules malfunction.
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