European employees work fewer hours per year, and use less energy per person, than their American counterparts. This article compares the European and U.S. models of labor productivity, supply, and energy consumption. It finds that if employees in the EU-15 worked as many hours as those in the United States, they would consume at least 15 percent more energy. This aspect of the debate over Europe's economic model reaches globally. Over the coming decades, developing countries will decide how to make use of their increasing productivity. If, by 2050, the world works as do Americans, total energy consumption could be 15 to 30 percent higher than it would be if following a more European model. Translated directly into higher carbon emissions, this could mean an additional 1 to 2 degrees Celsius in global warming.

Th is paper examines data on economic growth and various social indicators and compares the past 25 years with the prior two decades . Th e paper fi nds that the past 25 years in low-and middle-income countries have seen a sharp slowdown in the rate of economic growth, as well as a decline in the rate of progress on major social indicators including life expectancy and infant and child mortality. Th e authors conclude that economists and policy-makers should devote more eff ort to determining the causes of the economic and development failure of the last quarter-century. JEL Classifi cation: O10, O40, O11

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Our research explores the feasibility of using communication theory, error control (EC) coding theory specifically, for quantitatively modeling the protein translation initiation mechanism. The messenger RNA (mRNA) of Escherichia coli K-12 is modeled as a noisy (errored), encoded signal and the ribosome as a minimum Hamming distance decoder, where the 16S ribosomal RNA (rRNA) serves as a template for generating a set of valid codewords (the codebook). We tested the E. coli based coding models on 5' untranslated leader sequences of prokaryotic organisms of varying taxonomical relation to E. coli including: Salmonella typhimurium LT2, Bacillus subtilis, and Staphylococcus aureus Mu50. The model identified regions on the 5' untranslated leader where the minimum Hamming distance values of translated mRNA sub-sequences and non-translated genomic sequences differ the most. These regions correspond to the Shine-Dalgarno domain and the non-random domain. Applying the EC coding-based models to B. subtilis, and S. aureus Mu50 yielded results similar to those for E. coli K-12. Contrary to our expectations, the behavior of S. typhimurium LT2, the more taxonomically related to E. coli, resembled that of the non-translated sequence group.

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