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Titlebook: Mastication Robots; Biological Inspirati Weiliang Xu,John E. Bronlund Book 20101st edition Springer-Verlag Berlin Heidelberg 2010 Computati

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Robotic Chewing Experiments,, the robot was used to simulate the trajectory of real time 3D recorded human mandible movements during mastication. Vertical force measurements were consistent with the expected failure mechanism for each food. In each experiment unexpected forces in the non-vertical dimensions were found. These f
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Understanding Food Texture Using Masticatory Robots,ture and mechanical properties. This chapter summarises the key physical processes that occur to food during mastication in order to define the functionality that mastication robots must incorporate. The current mastication robots are then reviewed with respect to these requirements.
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Knowledge System of Human Chewing Behaviours,ion of the chewing behaviour is achieved by linking the three object models via an additional class for chewing data that is collected experimentally. With the object model, the chewing behaviour is further instantiated by discovering knowledge hidden in the chewing database by data mining. A case s
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Weiliang Xu,John E. Bronlundrench area, and in the Juan de Fuca off British Columbia and Washington state. Comments will be made about the possible tsunamis from these earthquakes..Finally, attention will be focussed on some new concepts that might help substantially in the tsunami warning system, for example, lateral waves. P
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Weiliang Xu,John E. Bronlundrmore, the movements may be slow as in creep or fast as in slides. Evidently internal creep, catastrophic slides and external flow phenomena present entirely different kinds of mechanical problems. Furthermore, it will be shown that the ultimate “cause” of all mass movements lies in the general patt
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Weiliang Xu,John E. Bronlundot always, indeed it is seldom, possible to extract this wealth of information from the NMR spectra of proteins due to certain inherent difficulties. The method is insensitive though this can be overcome at least for small (M. W. < 25.000) proteins, by the use of computers to accumulate and average
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Weiliang Xu,John E. Bronlundphenolic compounds, such as rottlerin, resveratrol, curcumin, genistein, and quercetin can induce cell death associated with autophagy in a variety of cancer cells, including pancreatic, breast, glioma, colon, ovarian cancers and acute myeloid leukemia. More importantly, these compounds can enhance
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