983 resultados para Bone technology
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Iowa State University of Science and Technology (ISU) as of and for the year ended June 30, 2007
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What explains the spatial distribution of wages across US counties? I find that two of the most important factors are spatial technology diffusion and externalities due to the aggregate scale of production. One empirical finding supporting the importance of spatial technology diffusion is that average wages in a county decrease with the average level of schooling in neighboring counties when employment in the county and average wages in neighboring counties are held constant. All empirical results are obtained using anovel instrument for (endogenous) employment at the county-leveland take into account other factors (e.g. productivity-differencesacross states, climate) that may determine wages.
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Peroxisome proliferator-activated receptors (PPARs) act as metabolic sensors and central regulators of fat and glucose homeostasis. Furthermore, PPARγ has been implicated as major catabolic regulator of bone mass in mice and humans. However, a potential involvement of other PPAR subtypes in the regulation of bone homeostasis has remained elusive. Here we report a previously unrecognized role of PPARβ/δ as a key regulator of bone turnover and the crosstalk between osteoblasts and osteoclasts. In contrast to activation of PPARγ, activation of PPARβ/δ amplified Wnt-dependent and β-catenin-dependent signaling and gene expression in osteoblasts, resulting in increased expression of osteoprotegerin (OPG) and attenuation of osteoblast-mediated osteoclastogenesis. Accordingly, PPARβ/δ-deficient mice had lower Wnt signaling activity, lower serum concentrations of OPG, higher numbers of osteoclasts and osteopenia. Pharmacological activation of PPARβ/δ in a mouse model of postmenopausal osteoporosis led to normalization of the altered ratio of tumor necrosis factor superfamily, member 11 (RANKL, also called TNFSF11) to OPG, a rebalancing of bone turnover and the restoration of normal bone density. Our findings identify PPARβ/δ as a promising target for an alternative approach in the treatment of osteoporosis and related diseases.
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Report on a review of selected general and application controls over the Iowa State University of Science and Technology payroll system for the period March 27 through May 11, 2007
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We analyze the labor market effects of neutral and investment-specific technologyshocks along the intensive margin (hours worked) and the extensive margin(unemployment). We characterize the dynamic response of unemploymentin terms of the job separation and the job finding rate. Labor market adjustmentsoccur along the extensive margin in response to neutral shocks, along theintensive margin in response to investment specific shocks. The job separationrate accounts for a major portion of the impact response of unemployment. Neutralshocks prompt a contemporaneous increase in unemployment because of asharp rise in the separation rate. This is prolonged by a persistent fall in thejob finding rate. Investment specific shocks rise employment and hours worked.Neutral shocks explain a substantial portion of the volatility of unemploymentand output; investment specific shocks mainly explain hours worked volatility.This suggests that neutral progress is consistent with Schumpeterian creative destruction,while investment-specific progress operates as in a neoclassical growthmodel.
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This paper studies the impact of a regional free trade agreement, MERCOSUR, on technologyupgrading by Argentinean firms. To guide empirical work, I introduce technology choice inMelitz s (2003) model of trade with heterogeneous firms. The joint treatment of the technologyadoption and exporting choices shows that the increase in revenues produced by trade integrationcan induce exporters to upgrade technology. An empirical test of the model reveals that firms inindustries facing higher reductions in Brazil s tariffs increase their investment in technologyfaster. The effect of tariffs on entry in the export market and technology adoption is highest inthe upper-middle range of the firm size distribution, as predicted by the model.
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Report on Iowa State University of Science and Technology, Ames, Iowa, for the year ended June 30, 2007
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Report on a review of selected general and application controls over the Iowa State University of Science and Technology tuition and fees system for the period of April 11 through May 2, 2008
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We analyze the effects of neutral and investment-specific technology shockson hours and output. Long cycles in hours are captured in a variety of ways.Hours robustly fall in response to neutral shocks and robustly increase inresponse to investment specific shocks. The percentage of the variance ofhours (output) explained by neutral shocks is small (large); the opposite istrue for investment specific shocks. News shocks are uncorrelated with theestimated technology shocks.
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Report of the Academic Building Revenue Bond Funds of Iowa State University of Science and Technology as of and for the year ended June 30, 2008
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Report of the Dormitory and Dining Services Revenue Bond Funds of Iowa State University of Science and Technology as of and for the year ended June 30, 2008
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Report of the Recreational Facility Revenue Bond Funds of Iowa State University of Science and Technology as of and for the year ended June 30, 2008
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Report of the Student Health Facility Revenue Bond Funds of Iowa State University of Science and Technology as of and for the year ended June 30, 2008
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Report of the Utility System Revenue Bond Funds of Iowa State University of Science and Technology as of and for the year ended June 30, 2008
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Report of the Parking System Revenue Bond Funds of Iowa State University of Science and Technology as of and for the year ended June 30, 2008