"... In PAGE 4: ... To measure e ectiveness, the list of documents whose full text was viewed during each search was extracted from the experiment logs. The aspectual recall of this list can be cal- culated using either the judgement of the independent NIST assessors, as shown in Table6 , or the judgement of the exper- imental subjects, as shown in Table 7. The assessors apos; judge- ment provides an objective assessment of the quality of the documents that were chosen for viewing, whereas the subjects apos; judgement re ects their own concept of document apos;s relevance to the topic in terms of their own understanding of the infor- mation need.... ..."

"... In PAGE 4: ... To measure e ectiveness, the list of documents whose full text was viewed during each search was extracted from the experiment logs. The aspectual recall of this list can be cal- culated using either the judgement of the independent NIST assessors, as shown in Table 6, or the judgement of the exper- imental subjects, as shown in Table7 . The assessors apos; judge- ment provides an objective assessment of the quality of the documents that were chosen for viewing, whereas the subjects apos; judgement re ects their own concept of document apos;s relevance to the topic in terms of their own understanding of the infor- mation need.... ..."

"... In PAGE 32: ... Results A. Legal Origin and Finance The regressions in Table3 suggest that the legal origin variables explain a significant amount of the cross-country variation in financial institutions, even after controlling for the logarithm of real per capita GDP. The legal origin variables are significantly different from zero in 15 out of the 18 regressions at the 5 percent significance level (Table 3a).... In PAGE 32: ... Legal Origin and Finance The regressions in Table 3 suggest that the legal origin variables explain a significant amount of the cross-country variation in financial institutions, even after controlling for the logarithm of real per capita GDP. The legal origin variables are significantly different from zero in 15 out of the 18 regressions at the 5 percent significance level ( Table3 a). German legal origin countries tend to have higher levels of financial intermediary development and stronger contract enforcement than British or French legal origin countries.... In PAGE 32: ... While there is generally a negative relationship between the development of financial institutions and both the sub-Saharan Africa and Latin America dummy variables, these regional dummy variables do not alter the findings on the law and finance view significantly. The legal origin variables are significantly different from zero in 15 out of 18 regressions in Table3 b at the five- percent significance level. German legal origin countries tend to have higher levels of financial intermediary development, contract enforcement, and property rights protection.... In PAGE 33: ... The data continue to suggest a strong link between financial institution development and legal origin when controlling for trade openness and the fraction of independent years since 1776. Table3 c presents 18 regressions of various combinations of the logarithm of real per capita GDP, trade openness, and INDEPENDENCE as control variables. In 16 out of 18 regressions, we reject the hypothesis that the legal origin variables enter with zero coefficients at the five- percent significance level.... In PAGE 33: ... While trade openness and INDEPENDENCE sometimes enter significantly and with the anticipated sign, there is not a robust link between financial institutional development and either trade or INDEPENDENCE. Table3 d includes religious and ethnic fractionalization variables in the regressions. Even after controlling for religious composition, ethnic diversity, and the level of economic development, the legal origin variables are significantly correlated with property rights protection, contract enforcement, the protection of outside investors, and PRIVATE CREDIT.... In PAGE 33: ... Although the transplant data substantially reduces the sample (sometimes by more than 50 percent) and even after controlling for the level of economic development, legal origin remains strongly linked with financial development. As Table3 e demonstrates, legal origin enters significantly in 13 out of the 18 regressions at the 5 percent significance level and in 15 out of 18 at the 10 percent level. Differences in legal origin importantly explain cross-country variation in financial intermediary development, stock market... In PAGE 34: ... Now, we examine the relationship between legal origin and the development of financial institutions after controlling for the full array of initial and current political structure indicators listed above. Differences in legal origin significantly explain financial intermediary development, stock market development, the legal rights of outside investors, accounting standards, contract enforcement efficiency, and the protection of property rights after controlling for overall economic development and the battery of measures of the initial political environment ( Table3 f). Also, controlling for current political structure does not change these findings (Table 3g).... In PAGE 34: ... Differences in legal origin significantly explain financial intermediary development, stock market development, the legal rights of outside investors, accounting standards, contract enforcement efficiency, and the protection of property rights after controlling for overall economic development and the battery of measures of the initial political environment (Table 3f). Also, controlling for current political structure does not change these findings ( Table3 g). In turn, the political structure variables rarely enter the regressions significantly.... In PAGE 52: ...Table3 a: Law and Finance Log(real per British French German F-Test capita GDP) legal origin legal origin legal origin for legal origin R2 Observations Private Credit . -0.... In PAGE 53: ...Table3 b: Law, Finance, and Regional Dummies Log(real per British French German F-Test Africa Latin capita GDP) legal origin legal origin legal origin for legal origin Dummy Dummy R2 Observations Private Credit . -0.... In PAGE 55: ...Table3 d: Law, Finance, and Culture Log(real per F-Test for Catholic Muslim Other F-Test Ethnolinguistic capita GDP) legal origin Religion Religion Religion for religion Fractionalization R2 Observations Private Credit . 3.... In PAGE 56: ...Table3 e: Law, Finance, and the Transplant Effect Log (Real British French German F-Test Transplant GDP per Capita) Legal Origin Legal Origin Legal Origin for legal origin Effect R2 Observations Private Credit . 0.... In PAGE 57: ... Variable definitions are given in the data appendix. Table3... In PAGE 58: ... 0.364 Table3... In PAGE 59: ...Table3 g (continued): Law, Current Political Structure, and Finance Current political structure F-test for Legis. Exec.... In PAGE 60: ...Table3 g (continued): Law, Current Political Structure, and Finance Current political structure F-test for Legis. Exec.... ..."

"... In PAGE 8: ... Rendering times were found to be almost independent of view angle. Sizes in value-sorted array format and rendering times of the successive levels of the pyramid are given in Table1 . For comparison, the numbers for direct MIP rendering of the full-size volume data are given as well.... ..."

"... In PAGE 27: ... Because of the evolving nature inherent in the emergent perspective, the identification of depen- dent and independent variables is not straight- forward. The evaluation of metaconjectures 6 through 8 in Table9 reflects the complexity of this perspective. Reflections on Power What does the juxtaposition of the technology and power lenses reveal about the current body of power and IT research? We suggest that the stories conveyed by the various perspectives are best understood from different levels or layers.... ..."

"... In PAGE 7: ... Then the effect on the documents written ( direct ) or cited ( indirect ) by authors of group A, B and C are shown by comparing their average ranking position in the personalized view of user U0, UB,C and UC,B. Table1 shows the results of the simulation. In all simulations the ranking of the documents written or cited, respectively, by an author of group A is nearly not affected because all users neither trust nor distrust authors from this group.... ..."

"... In PAGE 18: ...183). For the investigation of the marginal di erences of government spend- ing targets, the parameter estimates of the Democrats are contrasted with spending on National Defence ( Table4 ). The view of the Democrats is that the government should spend less only on Space Exploration than on National Defence.... In PAGE 18: ... In other words, 0 indicates no di erence with the views of the Democrats on that speci c target. As can be seen from Table4 , the opinions of the Independents generally lie in between the Democrats and the Rebublicans, who in turn di er the most in opinions concerning Assistance to Poor and Health. Table 4 ML estimates (standard errors) concerning government spending from model fR; L9g.... ..."