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(iii) Countries also vary substantially with regard to the probability that adults' Educational Attainment equals or exceeds that of their parents'.
We account for several factors affecting national levels of public R&D spending, including (i) the international context – i.e. Lisbon strategy; (ii) country characteristics – level of private R&D, GDP, trade openness and the National System of Innovation; (iii) countries' similarities in relation to (a) trade and economic size and (b) sectoral specialization.
The aim of our paper is to start developing assessment tools for futures studies that look at regions and countries along the three dimensions of (i) future regional food and water stress, (ii) fragility of governance structures, and (iii) countries with relevant reserves of strategic materials.
These studies, three waves have been conducted to date, used surveys to evaluate coronary care in 9 (EUROASPIRE I), 15 (EUROASPIRE II), and 22 (EUROASPIRE III) countries, respectively; Austria did not participate in either of these.
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In this and the previous section, we have reviewed evidence on the effectiveness of ALMPs and activation from three different sources: (i) micro evaluations of individual ALMPs; (ii) macroeconomic evaluations of ALMPs; and (iii) country case studies of activation strategies.
(iii) Country characteristics – to assess the effects of population size, region, and program strength.
Quadrants II and III display countries with high-quality exports.
(iii) Participating countries should consider developing an HSR eLearning platform for the regional course.
As seen in Table III, five countries reported transfer of a SET in more than 45% of all transfers (one more than in 2006): Sweden (69.9%), Finland (57.8%), Belgium (50.2%), Bosnia (49.6%) and Iceland (46.6%), all with an increase from 0.3 to 11.5% since 2006.
Knowledge spillovers to EMEs accruing from (i) the industrialized world, (ii) the emerging world, (iii) different country and regional groups, (iv) selected bilateral cases, and (v) those within the regional clusters of EMEs, are modeled.
In each row, the following information is displayed: (i) row number, (ii) the associated MeSH term, (iii) the country of origin of the sample, (iv) the associated KIR profile, (v) the sample size and gene frequencies for controls and patients, (vi) odds ratio value, (vii) P-value and (viii) statistical method used in comparisons.
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