"... In PAGE 4: ...is summarized in Table1 . Each row describes a di erent function of a chair.... In PAGE 8: ... The collection of functions observed in di erent situations is the functional description of the entity. Example : The properties listed in Table1 are all functional properties of chairs. The table speci es the functional behavior manifested by each chair.... In PAGE 14: ... Example: It is natural to describe the speci cation of an object by the intersection of abstract concepts since the speci cation describes functions that the desired chair must ful ll. Therefore, a speci cation that a chair must revolve and be movable is described easily (using Table1 ) by fA; B; C; D; E; F; G; Hg \ fA; E; F; G; Hg = fA; E; F; G; Hg: A solution to this design problem is any s 2 fA; E; F; G; Hg. If the speci cation would insist on an easily manufactured design fA; F; Hg, the result would be fA; E; F; G; Hg\ fA; F; Hg = fA; F; Hg.... In PAGE 16: ... Example: Let a speci cation be to design a chair that constrains back and that is movable. We can illustrate this design by going through Table1 or Figure 3. Speci ca- tion 1 (a chair that constrains back) is fB; C; F; Gg.... In PAGE 22: ... Example: Consider designing an immovable chair. According to Table1 or Fig- ure 3(a), which describe the function topology, there are three chairs that satisfy this requirement: B, C, and D. From Figure 3(b), we see that the attribute topology is ner at this region than the function topology because we have two separate subsets of fB; C; Dg: fB; Cg | the chairs that have a hanger, and fC; Dg | the chairs that are not lightweight.... ..."

"... In PAGE 20: ...00 TC=0 TC=3 TC=1 TC=4 TC=2 MPR=1 MPR=2 MPR=3 Graph 1. TC Messages for Different Values of MPR and TC Graph 1 corresponds to the values shown in Table4 for the number of TC messages generated for different values of MPR and TC. It is clear that the amount of TC messages increases when increasing the MPR parameter except for TC=1 and TC=2 because for those two strategies every single node in the network generates TC messages regardless of the value for MPR.... ..."

"... In PAGE 20: ...Graph 2. TC Messages Overhead for Different Values of MPR and TC Table5... ..."

"... In PAGE 3: ... At this stage, all atoms sharing the same LSDCNs are topo- geometrically equivalent. Table3 (parts a and b) contain the LSDCNs obtained at each iteration for the cyclohexane chair and boat conforma- tions, respectively. As shown in Table 3 (part a), all the carbon atoms in the chair conformation share the same LSDCNs all along the iterative procedure which ends when all atoms have been considered.... In PAGE 3: ... Table 3 (parts a and b) contain the LSDCNs obtained at each iteration for the cyclohexane chair and boat conforma- tions, respectively. As shown in Table3 (part a), all the carbon atoms in the chair conformation share the same LSDCNs all along the iterative procedure which ends when all atoms have been considered. On the opposite, as shown in Table 3 (part b), atoms 1 and 6 are differentiated from the four other atoms as early as the second iteration, but the procedure must be pursued because at this stage all atoms are not discriminated.... In PAGE 3: ... As shown in Table 3 (part a), all the carbon atoms in the chair conformation share the same LSDCNs all along the iterative procedure which ends when all atoms have been considered. On the opposite, as shown in Table3 (part b), atoms 1 and 6 are differentiated from the four other atoms as early as the second iteration, but the procedure must be pursued because at this stage all atoms are not discriminated. As a consequence, for the chair conformation all atoms are recognized as geometrically equivalent, while for the boat conformation two classes of atoms made of the two stern and bow atoms and the four others, respectively, can be identified.... ..."

"... In PAGE 10: ...able 8 Sources of Social, Emotional, Academic, and Professional Support .............................. 75 Table9 Committee Chair Sources of Support from Total Selections .... In PAGE 87: ... Table 8 Sources of Social, Emotional, Academic, and Professional Support Source Frequency Percent Committee Chair 42 91 Committee Member 35 76 Graduate Faculty 21 46 Graduate Colleagues 32 70 Other Faculty 17 37 Spouse Partner 27 59 Family 34 74 Employer 14 30 Friend 39 85 Tribal Group 16 35 Elder 19 41 Mentor 18 39 Other Specify 8 17 Committee Chair, friend, and Committee members were the top three most frequent choices made for sources of support. The primary source for support selected by the survey respondents to have provided the most social, emotional, academic, and professional support during the AI/AN female doctoral degree recipient academic pursuits was the Committee Chair (see Table9 ). Nine respondents selected the spouse/partner category, and seven respondents chose family as a primary source of support.... In PAGE 89: ...77 academic community and an increase in representatives as sources of support from their community. The Committee Chair was selected the majority of the choices however it can be observed in Table9 that there are a low number who are AI/AN, and are both AI/AN and a woman. Table 9 Committee Chair Sources of Support from Total Selections ... ..."

"... In PAGE 6: ...Table 2: Test Results from TC3, TC4 and TC5 The simulation or execution time of TC3, TC4 and TC5 is shown in Table2 above. This table shows that as each test is conducted the simulation time increases significantly.... ..."

"... In PAGE 3: ... We assume that the processors assigned to task TCij also store the sub-matrices Aij and Bij,. A dependence analysis has shown that a minimum communication overhead can be achieved by the specific allocation schemes in Table 1 for scheme (1) and Table2 for scheme (2), respectively. Table 1: Composition of tasks TCij for Scheme (1).... In PAGE 5: ... On the bottom level both algo- rithms use a similar computational structure, but a different communication scheme. The unbalanced work distribution resulting from the scheme in Table2 requires an uneven dis- tribution of matrix B, see Figure 6. Although the algorithm can be executed for an arbitrary number of processors, at least 7 processors should be used for the algorithm to be efficient.... ..."

"... In PAGE 44: ...ne year. On the average, a chair had been in his/her current position for eight years. Total number of years as chair. The total number of years as chair reported by participants ranged from 0 to 35 (see Table7 ). Computations showed multiple modes of two and six.... ..."

"... In PAGE 6: ... 1546 Figure 4: Actual Scheduling Technique Figure 5: Proposed Scheduling Technique The proposed scheduling policy should increase chair utilization significantly during the morning with decreasing utilization later in the afternoon. Table5 shows a comparison of the two alternatives considering the number of busy chairs at 4:00 p.... In PAGE 6: ...eople to service at 4 p.m. However, we are also interested in how many additional patients can be scheduled and still allow the closing time to be no worse than with the existing system. From the plots and Table5 , it was concluded that new patients could occupy the idle chairs. In other words the number of patients seen per day could be increased.... ..."

"... In PAGE 25: ... One remaining irrelevant page hit is also downgraded from 15th rank to 20th rank. In summary, the hit ratio from Table 5 (80%) is enhanced to 95% in Table6 . This implies consideration of concept hierarchy and categorical match component contributes a 15% performance enhancement in this case and they are very important factors to be considered in retrieving the relevant ... In PAGE 26: ...mobile-office-desk.com/ N 28 Overall search performance comparison results for the query, office and chair are shown in Table6 . WebSifter II approach also outperforms the other approaches and even our approach without consideration of the categorical match component is still better or quite competitive to other approaches.... ..."