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Knowledge networks form spontaneously on the Internet, just as they do on company intranets. Where there s a need for shared knowledge, there are now tools to support the communication and exchange. Consumers don t need the initiation or even the participation of a company to build an online community around the company s product or service. If the company is too slow to respond to this need, customers somewhere will begin a conversation on a message board or through email to find what they re looking for. It s important for organizations to understand that people may be talking about them online and that those conversations could hold value. The knowledge shared among customers is richer than that owned by a single customer. A kind of informal collaboration happens when people talk about a product they all use, and the resulting shared insights often contain an elusive understanding that the company s product development and market research people would pay dearly to have. A discussion that takes place on a neutral site not under the sponsorship of the company is likely to be more candid and creative than a focus group or a discussion initiated by the company. We say likely because the example of Hallmark demonstrates that a company doesn t have to sacrifice the candor of its customers for control over the discussion space.

More from the Experts tionships are lost Companies often reward good campus recruiters with other HR positions that will involve less travel and will expand their scope of responsibilities Campus recruiting positions are, in turn, lled with young recently graduated employees, and these positions become a pass-through function It is no surprise that the number-one complaint that career services professionals have with the companies that come to their campuses is that each year they are training a new cadre of recruiters on how to source candidates from their institutions Rarely do they see the same people year to year Y O U WA N T T O C A S T A W I D E R N E T Companies usually have a core list of schools from which they recruit Customarily, this list is kept small to maximize exposure with limited resources.

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"Prediction is hard, especially about the future." Yogi Berra, Philosopher in the Baseball Hall of Fame Philosopher of science James Burke is fond of noting that history rarely happens in the right order or at the right time, but the job of a historian is to make it appear as if it did. One benefit of writing a series of Pattern-Oriented Software Architecture (POSA) books is we have the opportunity to revisit our earlier predictions, summarize what actually occurred, and examine why it occurred the way it did. This chapter revisits our 1996 forecasts on 'where patterns will go' that appeared in the first volume of the POSA series. A System of Patterns [POSA1]. We discuss the directions that patterns actually took during the past four years, analyze where patterns are now, and revise our vision about their future given the benefit of hindsight.

double bond on the B ring is very reactive and will avidly form chemical bonds with atoms that are rich in electrons. The compound is thus likely to attach irreversibly to the aromatase binding site, in effect closing off the site to normal substrate. This inactivates the enzyme and shuts off synthesis of fresh estrone. A pair of closely related compounds whose structures differ markedly from steroids also inhibit endogenous steroid production (Fig. 8). The aromatase enzyme, in addition to the site that binds with the substrates, also includes chemical

Theorem 56 is valid for time Petri nets used with the extended firing rule and in which any transition has at least one input place: so, the sufficient condition for the boundedness property expressed by this theorem is also a sufficient condition for the T-bounded property (remember that theorem 56 does not involve firing domains) On the other hand, theorems 57 and 58 do not express sufficient conditions for the T-bounded property With the extended firing rule, infinite class chains in which all firing domains are distinct (because their sets of variables are distinct) may generally exist When the boundedness property cannot be demonstrated using theorem 56, it is still possible to have a bound k for the number of simultaneous enabledness states of any transition, and to construct the class graph using theorem 57 or 5.

8, while verifying straight away that any transition is at most enabled k times simultaneously Termination is thereby guaranteed, and, if the enumeration does not fail, we have demonstrated the T-bounded and bounded properties It is worth noting a final specificity about the boundedness property: a time Petri net may be unbounded with the standard firing rule but bounded with the extended firing rule! This would be the case, for example, of the net shown in Figure 510 if transitions t2 and t3 were provided with static interval [2,3] rather than [0,2]: the modified net would assume 7 state classes by using the FEFF extended firing rule, but it would assume an infinity of state classes by using the standard firing rule 5616 Alternatives An alternative for multi-enabledness processing contemplated by certain authors is to consider that tokens have an age.

As a result of limiting a rm s exposure to a few schools, the company is missing outstanding candidates from universities outside of the core The use of a third party can cast a wider net by prescreening candidates from noncore schools, who may be better matches for the rm than those it currently sees For example, students may bypass colleges of high academic standards for which they may be quali ed and attend lesser-status universities for a variety of reasons, such as nances, proximity to family or job, or poor guidance counseling in high school A third-party rm can assist companies to obtain high-quality candidates from noncore schools who are equally competitive with many of the candidates sourced from core schools, and who will bring a diversity of thought and perspective to the rm.

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