"... In PAGE 16: ... With hot spots the variation is much greater, indicating the nice e ect load balancing has for smoothing the variation and reducing the gradient. Finally Table1 shows the calculated average number of moves made by a node in the entire system, with and without hot spots and with and without load balancing, and the normalized variation of the capacity at each processor from the mean. The table shows that the load balancing reduces the coe cient of variation at the cost of a very small increase in the average moves in the system, indicating that load balancing is e ective with low overhead.... ..."

"... In PAGE 17: ...4.1 Introduction Table1 -1 on page 1-6 shows the basic mapping. In some cases where there is a potential mismatch between an IDL type and its mapped Java type, the Exceptions column lists the standard CORBA exceptions that may be (or are) raised.... In PAGE 24: ...4.6 Integer Types The integer types map as shown in Table1 -1 on page 1-6. 1-12 IDL to Java Language Mapping June 1999 1.... In PAGE 24: ...4.7 Floating Point Types The IDL float and double map as shown in Table1... In PAGE 140: ...irectory, where lt;java-home gt; is the value of the System property java.home. It consists of lines of the form lt;property-name gt;= lt;property-value gt;. See Table1 -3 for a list of the property names and values that are recognized by ORB.... ..."

"... In PAGE 6: ...The Itoh-Ci-8 has a size of .. . An assignment of the syn- tactic quality label CASEFRAME is triggered only in those hypothesis spaces where the unknown item is considered a PHYSICALOBJECT (cf. Table3 , learning step 1). The remaining hypotheses (cf.... In PAGE 6: ... PHYSICALOBJECT (cf. Table 3, learning step 1). The remaining hypotheses (cf. Table3 , learning step 2) can- not be annotated by CASEFRAME, since the concepts they represent (e.g.... In PAGE 6: ... Since the conceptual quality label M-DEDUCED has been derived by the classifier, this result yields a ranking with these three DEVICE hypotheses preferred over the one associated with COMPUTER (cf. Table3 , learning step 3). Evaluation In this section, we present some data from an empirical evaluation of the text knowledge acquisition system.... In PAGE 7: ... As the graphs in knowledge bases for natural domains typically have an al- most canonical depth that ranges between seven to ten nodes from the most general to the most specific concept, our mea- sure seems to generalize to other domains as well.3 Given the LA measure from above, Table3 and Table 4 illustrate how alternative concept hypotheses for ITOH-CI-8 develop in accuracy from one step to the other. The num- bers in brackets in the column Concept Hypotheses indicate 3We tested the WORDNET lexical database (Fellbaum 1998), a common-sense ontology, in order to determine concept paths of maximal length.... ..."

"... In PAGE 14: ... This document covers all areas of phytotechnologies, including inorganic and organic contaminants as well as the different media involved, including soil, sediments, surface water, and groundwater. These are summarized in Table1 -1. Furthermore, brief descriptions of the mechanisms used to treat these environmental conditions are provided in the following subsections.... In PAGE 22: ... The LAI is the ratio of leaf area to ground area and can have values greater than one. Typical rain interception capacities are provided in Table1 -2. If the rain is not intercepted by the plant leaves and manages to reach the ground, it is then subject to the transpirational uptake by the plant root systems.... In PAGE 26: ..., 1989). This is shown for a typical rain event in Figure 1-6 where the initial rainfall is collected on the surfaces of the plant leaves (see the left illustration, Figure 1-6) based on the rain interception capacity (see Table1 -2). Once the capacity of the species to intercept rain has been exceeded, the additional rain that occurs falls to the ground surface where it can form runoff or begin percolating down into the soil (see the middle illustration, Figure 1-6).... In PAGE 28: ... The amount of groundwater that can be taken up by a stand of trees is dependent on many factors, including the age of the trees, the depth of groundwater, the soil conditions, and the climate region where the site is located. Typical water uptake and transpiration rates were shown previously in Table1 -3 (see Section 1.... In PAGE 29: ... Many prairie species have root systems that can reach 10 to 15 ft below surface level as illustrated in Figure 1-8 below (USEPA, 1998). Furthermore, many of these species have high water-uptake and transpiration rates as shown in Table1... In PAGE 42: ...April 2001 31 To determine the necessary land requirements for a phytotechnology system, knowledge of the water uptake and transpiration rates throughout the life of the plant will be required. Typical evapotranspiration estimates ( Table1 -3, Section 1.2.... ..."

"... In PAGE 6: ...The Itoh-Ci-8 has a size of .. . An assignment of the syn- tactic quality label CASEFRAME is triggered only in those hypothesis spaces where the unknown item is considered a PHYSICALOBJECT (cf. Table3 , learning step 1). The remaining hypotheses (cf.... In PAGE 6: ... PHYSICALOBJECT (cf. Table 3, learning step 1). The remaining hypotheses (cf. Table3 , learning step 2) can- not be annotated by CASEFRAME, since the concepts they represent (e.g.... In PAGE 6: ... Since the conceptual quality label M-DEDUCED has been derived by the classifier, this result yields a ranking with these three DEVICE hypotheses preferred over the one associated with COMPUTER (cf. Table3 , learning step 3). Evaluation In this section, we present some data from an empirical evaluation of the text knowledge acquisition system.... In PAGE 7: ... As the graphs in knowledge bases for natural domains typically have an al- most canonical depth that ranges between seven to ten nodes from the most general to the most specific concept, our mea- sure seems to generalize to other domains as well.3 Given the LA measure from above, Table3 and Table 4 illustrate how alternative concept hypotheses for ITOH-CI-8 develop in accuracy from one step to the other. The num- bers in brackets in the column Concept Hypotheses indicate 3We tested the WORDNET lexical database (Fellbaum 1998), a common-sense ontology, in order to determine concept paths of maximal length.... ..."