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uted to differences in the extent of troponin-T proteolysis in excised beef semitendinosus muscle from 2 to 10 days postmortem (Weaver et al. 2008). Using an in vitro model, in which myo brils with varying sarcomere lengths were digested with exogenous calpain, it was observed that sarcomere length in uenced the rate and extent of troponin-T degradation (Weaver et al. 2009). In both of these studies, less proteolysis was observed in samples with shorter sarcomeres. The limited protein degradation with shorter sarcomeres was hypothesized to be a function of limited substrate availability (Weaver et al. 2008, 2009), but more data is required to elucidate this mechanism. It is also unclear from these studies if the range in sarcomere lengths that resulted in proteolytic differences is indicative of the natural variation in sarcomere length that exists in muscles from commercially processed beef. Nevertheless, these studies indicate that besides having a direct effect on tenderness, large differences in sarcomere length may also impact the postmortem proteolysis responsible for the aging tenderization of meat.



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Serializability in Replicated Databases To consider mutual consistency in a replicated database, we need to extend the local serializability de nition. In a replicated database, schedule S is globally serializable if and only if all local schedules are serializable and the order of commitment for two con icting transactions is the same at every site where the two transactions run. Applying these requirements to our example, we see that for con icting transactions T1 and T2, at the LA site the commitment order is T1 T2 but in NY, the commitment order is T2 T1. Since the two transactions do not commit in the same order across both sites, they leave the database copies in an inconsistent state. 5.2.4.3 Con ict Serializable Schedules The serializability concept we have discussed so far is known as con ict serializability, which was rst discussed in [Eswaran76]. Although it is true that con ict serializable schedules produce a consistent database, they are not the only schedules that do so. 5.2.4.4 View Serializable Schedules Consider schedule S = R1(X), W2(X), W1(X), W3(X). This schedule is not con ict serializable since it implies the PCOs T1 T2, T1 T3, T2 T1, and T2 T3, which cannot all be satis ed the total order graph is not acyclic. After a closer look, however, we notice that this schedule produces the same result as the following two schedules:

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The second method, which is more complex, is based on qualitative fuzzy recognition rules and solves the segmentation problem and the recognition problem at once [11] The third method deals with fuzzy time clustering and grasp recognition using HMMs [12] All three methods are tested on the same set of grasp data in order to provide a fair comparison of the methods This chapter is organized as follows: Section 152 describes the experimental platform consisting of a data glove and a hand simulation tool Section 153 discusses the learning of grasps by time-clustering and the training of model grasps Section 154 describes the three recognition methods Section 155 presents the experimental results and gives a comparison of the three methods Finally, section 156 draws some conclusions and directions for future work..

versions of a new apparatus are likely to contain some dif culties for the animals An apparatus that has typically been used for a particular problem should generally be favored over some alternative apparatus This increases the comparability of results of multiple experiments within a given laboratory and between laboratories Of course, when suf cient understanding of a phenomenon has been obtained with one type of apparatus, it is often desirable to test the generality of the conclusions by some investigation of the effect of similar treatments in a very different apparatus Another consideration in the selection of testing apparatus is the degree of the experimenter s control of stimuli This includes not only the control of the physical stimulus at the source (such as the speaker or the light bulb) but also the proximal stimulus at the location of the animal.

Illustrated TCP/IP by Matthew G. Naugle Wiley Computer Publishing, John Wiley & Sons, Inc. ISBN: 0471196568 Pub Date: 11/01/98

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