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Searching for Content A semantic search engine is a remarkably useful solution. It can discover if two documents are similar even if they do not have any speci c words in common and it can reject documents that share only uninteresting words in common. Latent semantic indexing looks at patterns of words within a set of documents. Natural language is full of redundancies, and not every word that appears in a document carries semantic meaning. Frequently used words in English often do not carry content: examples include functional words, conjunctions, prepositions, and auxiliary verbs. The rst step in doing LSI, therefore, is culling these extraneous words from a document. This is called stemming.

12 Even if a start-up holds intellectual property that IBM needs, the computer systems giant is unlikely to enter into a cross-licensing agreement Since protracted patent litigation can ruin a start-up without having any impact on a large corporation, the latter s threat of litigation can shut down the start-up or dictate very favorable terms for itself in an acquisition Indeed, established corporations seeking to prevent start-up companies from disrupting their market dominance in nanotechnology markets should perceive the frag-.

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will be adopted from here on out Note the weights are commonly normalized to sum to 10, and the value functions are normalized to range from either 0 to 1, or 0 to 10, or 0 to 100 1341 Eliciting Value Functions The axioms of decision analysis produce the result that the value function over the vector x of bottom-level objectives must only be an interval function when the decision maker is risk neutral (the assumption made here) As a result, the individual value function vi over bottom-level objective xi must also be an interval-scaled function of x This interval property is the key to eliciting value functions from stakeholders about the relative value they assign to improving from the threshold of acceptable performance of xi, xi0, to the most desired value of xi*.

show ip eigrp traffic. Displays EIGRP traffic statistics, including how many Hellos, Updates, Queries, Replies, and ACKs have been sent and received. show ip eigrp neighbors. Displays detailed information about neighbors, including which interface can reach the neighbor, holdtime, uptime, number of Queries from the neighbor, sequence number of the last packet from the neighbor, average amount of time it has been taking to receive ACKs from the neighbor (in milliseconds), and amount of time the router will wait before retransmitting packets to the neighbor (in milliseconds). The amount of time to wait before retransmitting is based on the average amount of time it has been taking to receive ACKs. show ip eigrp topology. Displays information from the topology database about routes and successors. This command only displays feasible successors for a route. To display the entire topology database, use the show ip eigrp topology all-links command.

Be careful when assigning your server role. You cannot switch a member server to a domain controller, or vice-versa, without reinstalling the entire operating system.

Watson and Buede [1987] present the bisection and the equal differences methods for eliciting these functions These value functions take four general forms (see Fig 131): decreasing returns to scale (RTS), linear RTS, increasing RTS, and an S-curve The decreasing RTS signi es a satiation of preference near the most desired value Decreasing RTS is commonly encountered when the threshold of acceptable performance is within the key performance range of interest to the stakeholders and the most desired value is outside this key performance range where satiation takes over The linear RTS is commonly found when both the threshold of acceptable performance and the most desired value are within the key performance range of interest, or when there is no possible satiation of preference.

Developing complex new products whether they are automobiles, jet fighters, software applications, or commercial airliners requires the cooperation of a wide range of specialists From concept through delivery, staff from marketing, engineering, production, and a wide variety of other departments contribute their unique expertise Traditionally, this has caused problems, as the leaders of these development efforts had to fight entrenched organizational silos Cooperation between different engineering disciplines was often low, as each group viewed the new product from its own perspective, leading to combative design phases and blown schedules To solve this problem, established industries are embracing a radical restructuring of their organizations, a process known as integrated product teams (IPTs) IPTs have swept away organizational structures that focus on functional specialties and replaced them with structures that emphasize the product being developed (See Figure 136.

area, systematize the process, and determine the effectiveness of those processes using the methods described earlier and following. Suggestions for the actual design of a treatment protocol are discussed next. These are not hard and fast rules only suggestions to help an agency/practice to get started in the process.

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