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The past, present, and future role of global migration Throughout history, migrants have fueled the engine of human progress. Their movement has sparked innovation, spread ideas, relieved poverty, and laid the foundations for a global economy. In a world more interconnected than ever before, the number of people with the means and motivation to migrate will only increase. Exceptional People provides a long-term and global perspective on the implications and policy options for societies the world over. Challenging the received wisdom that a dramatic growth in migration is undesirable, the book proposes new approaches for governance that will embrace this international mobility. The authors ex...
Knowledge and its application are now widely recognized to be key sources of growth in the global economy. Putting knowledge to work allows countries to improve everyday life for their people, opening up new possibilities for small and medium-size enterprises and other less-developed economic groups. This volume examines the challenges and opportunties for Mexicos knowledge-based economy, offering strategies for making major improvements in the countrys capacity to generate knowledge and transform it into wealth.
Este informe revisa las tendencias del crecimiento en Armenia para el periodo 1994-2000, presenta debilidades importantes de los patrones existentes del desarrollo, y sugiere el diseno de politicas para acelerar la reestructuracion de empresas, atraer la inversion, y promover la creacion de nuevos negocios en corto plazo.
This book constitutes the refereed proceedings of the First International Workshop on Algorithms in Bioinformatics, WABI 2001, held in Aarhus, Denmark, in August 2001. The 23 revised full papers presented were carefully reviewed and selected from more than 50 submissions. Among the issues addressed are exact and approximate algorithms for genomics, sequence analysis, gene and signal recognition, alignment, molecular evolution, structure determination or prediction, gene expression and gene networks, proteomics, functional genomics, and drug design; methodological topics from algorithmics; high-performance approaches to hard computational problems in bioinformatics.
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