"... In PAGE 5: ...able 16. Last five-year outputs of doctorate holders working as researchers in the United States..... 21 Table17 .... In PAGE 22: ...The reason for this is that the foreign-born reflect the cumulative entries of immigrants into the country across the years, a part of whom has acquired the nationality/citizenship of the recipient country. We see from Table17 that the foreign contingent is very important in Switzerland both in terms of the foreign-born and the foreign citizens. Switzerland is also known for having the highest share of foreign-born doctoral students among OECD countries.... ..."

"... In PAGE 40: ... 3.4 Model Example Before I present RPAM01, I consider a design example (See Table3 .): Mary, in the role of a doctor, is caring for her patient at the hospital.... ..."

"... In PAGE 2: ...4.7% had doctorates. In contrast, U.S. respondents reported 22.9% had masters degrees while 74.8% had doctorates. The distribution of job titles reflects the differences in terminal degrees. Table2 shows titles from adjuncts to full professors. Proceedings of the 2005 Southern Association of Information Systems Conference ... ..."

"... In PAGE 18: ...The great majority of beneficiaries believed they received the Medicare services they needed; however, disenrollees were more likely than enrollees to perceive problems with access to primary and specialty care. In 1996, a large majority of enrollees and disenrollees believed their primary HMO doctors provided the necessary care (see Table8 ). Their responses consistently indicated good access to Medicare covered services, hospital admission and specialty care.... ..."

"... In PAGE 4: ...#29 By Equation 2, wemust consider all pairs of concepts hc 1 ;c 2 i, where c 1 2fdoctor1; doctor2g and c 2 2fnurse1; nurse2g, and for each such pair wemust compute the semantic similarity sim#28c 1 ,c 2 #29 according to Equation 1. Table1 illustrates the computation.... In PAGE 23: ...7 Table 9: Evaluation using Judge 1 as the reference standard, considering items selected with con#0Cdence 3 and above. Judge 2 Algorithm Random Include Exclude Include Exclude Include Exclude Judge 1 Include 40 32 58 25 26 57 Exclude 33 363 99 380 61 418 Table1 0: Agreement and disagreement with Judge 1 Table 9 shows the precision#2Frecall #0Cgures using the judgments of Judge 1, the native Chinese speaker, as a reference standard, considering only known items selected with con- #0Cdence 3 and above. 18 The algorithm recorded all 100 items as known, and its con#0Cdence values were scaled linearly from continuous values in range #5B0,1#5D to discrete values from 1 to 5.... In PAGE 28: ... Leacock and Chodorowhave experimented with this measure and the information content measure described here in the context of word sense disambiguation, and found that they yield roughly similar results. Implementing their method and testing it on the task reported in Section 3, I found that it actually outperformed the information-based measure slightly on that data set; however, in a follow-up experiment using a di#0Berent and larger set of noun pairs #28100 items#29, the information-based measure performed signi#0Ccantly better #28 Table1 1#29. Analyzing the di#0Berences between the two studies is illuminating.... In PAGE 29: ...Similarity method Correlation Information content r = :6894 Leacock and Chodorow r = :4320 Edge-counting r = :4101 Table1 1: Summary of experimental results in follow-up study. #28to ensure that similar noun pairs occurred#29 and then selected noun pairings at random #28in order to avoid biasing the follow-up study in favor of either algorithm#29.... In PAGE 30: ...Similarity method Correlation Information content r = :7947 sim Wu amp;Palmer r = :8027 sim Lin r = :8339 Table1 2: Summary of Lin apos;s results comparing alternative similarity measures into account not only commonalities but di#0Berences between the items being compared, expressing both in information-theoretic terms. Lin apos;s measure is theoretically well motivated and elegantly derived.... ..."

"... In PAGE 4: ... There are obviously many different classes of these groups and a classification of possible speakers and hearers is necessary in order to be able to specify the speaker and hearer in a detailed way. Table1 shows some classes of... ..."

"... In PAGE 13: ...13 Table3 The Australian qualification framework diagram Schools Vocational Education and Training Higher Education Senior Secondary Certificate of Education Advanced Diploma Diploma Certificate IV Certificate III Certificate II Certificate I Doctorate Masters Degree Graduate Diploma Graduate Certificate Bachelor degree Advanced Diploma Diploma Levels There is a view that qualifications frameworks like the AQF do in fact have levels. They are not officially expressed as levels but the levels are easily discernable in the table-like image of the AQF.... ..."

"... In PAGE 7: ... As a result, we limited our analysis to those institutions that graduated twenty or more white women who earned doctorates between 1975 and 1991. The percentages not accounted for in Table1... ..."

"... In PAGE 68: ... In the majority of countries, however, a Master degree is the precondition for admission to doctoral programmes. Table2 illustrates, tentatively, the degree framework and major qualifications of the Central, Eastern and South Eastern European countries, plus Cyprus, Malta and Switzerland, according to length and types of institutions/institutional affiliations (university/non-university). It should be noted that neither the length of qualifications nor the type of institution/institutional affiliation say much about the level of the qualification, its contents and the learning outcomes.... ..."