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Swirl the explants in 10 15 volumes of dissection medium, then aspirate the liquid as the explants settle to the bottom of the container Repeat this until the supernatant remains clear after agitation (e) After completing the wash steps, remove as much liquid as possible and reweigh the container The difference between the rst and second weights gives a reasonable estimate of the weight of cartilage collected In practice, between 30 and 60 g of cartilage can be collected from a single TJA specimen, depending primarily on the degree of pathology (486 197 g, n = 20) (f) Incubate the explants in predigestion medium for human articular cartilage (1 g/10 ml) in a shaking incubator at 37 C for 1 h (g) Rinse the explants in dissection medium (h) Add the digestion medium for human articular cartilage (1 g/10 ml).

(i) Replace the ask in a shaking incubator at 37 C overnight (j) After overnight digestion, lter the medium through a 40 m lter (k) Pellet the isolated cells by centrifugation at 250 g for 10 min (l) Aspirate the supernatant and resuspend the cells in 10 volumes of Ham s F-12 medium (m) After 2 3 rounds of centrifugation and resuspension, determine the cell number with a hemocytometer and test for viability by Trypan Blue exclusion..

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must also have 0 < = Vc < = V and 0 < = Va < = V This simple idea makes it impossible for a partitioned network to commit and abort the same transaction at different partitions To make this work, the third phase of the 3PC is changed to count votes for abort or commit and to check to see which quorum, if any, is reached This means that the sites are now required to attach their votes to the response they send to the coordinator when they receive the Enter Prepared State message Under normal operations, the coordinator will collect the votes, which should be a quorum for commit, and then it will commit the transaction Now suppose a failure partitions the network into two partitions when the system is the Precommit state.

including distributed computing, business data interchange, and information distribution and retrieval These efforts have contributed to the new software domain called Web services From this perspective, the creation of Web services technology and speci cations are a collective attempt to address many of the problems independently encountered by each motivating technology Additionally, for some of the motivating technologies, the trend toward Web services concepts are the byproducts of attempts to reconcile lack of widespread adoption Of course, each of the motivating technologies brings tangible assets along with hard-to-solve issues Distributed Computing Distributed computing relies on middleware for object exchange or function invocation across a distributed application Distributed applications typically are intranet-oriented Distributed applications that span multiple trust boundaries have not gained signi cant traction Leading technologies are DCOM, CORBA, and Java s RMI and Jini; along with distributed security initiatives such as Kerberos, DCE, and public key infrastructure.

Distributing computing often suffers from interoperability issues across vendor tools and platforms, especially since it requires clients and servers to be tightly coupled in both a business and a development sense Thus, this technology has not come close to meeting scalability expectations, especially when compared to the Web a loose, ad hoc coupling of components traversed by following identi er links and observing a few simple rules Distributed computing applications are often fragile in the event of partial failure and are in exible to redistribution of objects or application functionality They are also in exible at runtime when new system components such as rewalls, proxies, and gateways are deployed They tend to have a high administrative cost Finally, there is a signi cant technical barrier for distributed computing middleware to directly leverage the desired global pervasiveness of the Web.

Table 22.4. Main hurdles inhibitory to pathogens present in dry and semidry fermented sausages Pathogen Staphylococcus aureus Salmonella Clostridium perfringes Yersinia enterocolitica Campylobacter jejuni Listeria monocytogenes Escherichia coli (ECEH) Hurdles pH < 5.1; aw < 0.86; bacteriocins pH < 5.0; aw < 0.95; NaCl/NaNO2 LAB (acid and bacteriocins) LAB (acid) LAB (acid) aw < 0.90; bacteriocins LAB (acid)