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Both paper and electronic versions can be used successfully. Microsoft Outlook offers a full-featured calendar that many corporate employees use while Google s calendar is popular with those who prefer web-based applications. Web-based calendars provide for easy sharing with family, friends, and colleagues, which can make planning group events more convenient. They re also easy to access from mobile devices with data plans. However, they require a near-constant connection to the Internet. Ideally, you ll use a calendar that you can add events to while you re on the move. Paper calendars or smart phones work well for this. Some online calendars also allow you to add events using text messaging from your phone. If need be, just write an event you need to remember onto a piece of paper and add it to your calendar whenever you re back to it.

0.43% 0.41% 0.36% 0.32% 0.28% 0.33% 0.27% 0.36%

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One of the goals of microarray data analysis is to aid in discovering biological functions of genes. One of the most important sources of domain knowledge on gene functions is Gene Ontology (GO), developed and maintained by the Gene Ontology Consortium [34,35]. Using a controlled and limited vocabulary of terms describing gene functions, each term in Gene Ontology consists of a unique identi er, a name, and a de nition that describes its biological characteristic. GO terms are split into three major groups: biological processes, molecular functions, and cellular component categories. Within each category, GO terms are organized in a direct acyclic graph (DAG) structure, where each term is a node in the DAG, and each node can have several child and parent nodes. The GO hierarchy is organized with a general-to-speci c relation between higher and lower level GO terms (see Fig. 4.12). Sometimes, it is useful to compare several GO terms and determine if they are similar. Although there is no commonly accepted similarity measure between different GO terms, various distance measures were proposed for measuring the similarity between GO terms [36,37]. For example, the distance between nodes X and Y in a DAG can be measured as the length of the shortest path between X and Y within the GO hierarchy normalized by the length of maximal chain from the top to the bottom of the DAG [38]. One possible modi cation, illustrated in Figure 4.12, is to add a large penalty for paths that cross the root of a DAG to account for unrelated terms. 4.3.3 Characterizing Functions of Differentially Expressed Genes

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tion, as practiced by state and federal conservation agencies, is to restrict access to and disturbance of population sites Barring severe ooding that would reverse succession in the protected populations, this greatly increases the probability of extinction for B decurrens or any other species dependent on a regular ood pulse Although the Federal Recovery Plan called for management studies to determine the ef cacy of burning, mowing or disking to simulate natural disturbance, our subsequent studies have indicated that without the selective disturbance provided by regular ooding, these practices are not suf cient to maintain seedling establishment or vegetative rosette production in B decurrens (Smith, 1995) Records that we and the Illinois Department of Natural Resources have kept over the past 20 years provide ample evidence of extreme uctuations in population size, number, and location (Schwegman and Nyboer, 1985; Smith, 1993, 1995; Smith et al.

ef cient replication Suppose that application layer multicast is used to broadcast TV programs on the Internet to ten million of viewers If the application layer multicast tree has a fanout of 2, the video stream has to be relayed through at least 23 overlay nodes (besides all the IP routers on the way) before reaching a viewer much longer than IP multicast would take Moreover, to support a fanout of 2, at least 5 million dedicated overlay nodes must be deployed in the middle of the network a huge deployment cost One may suggest that, instead of deploying so many dedicated overlay nodes, we employ the viewers end stations to replay traf c But that effectively triples the processing and bandwidth requirements on the end station So, instead of a 256-kB stream, the end user may be able to view only an 80-kB stream unacceptable quality degradation.

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