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Structure, Folding Dynamics, and Amyloidogenesis of D76N β2-Microglobulin : ROLES OF SHEAR FLOW, HYDROPHOBIC SURFACES, AND α-CRYSTALLIN
This research was originally published in the Journal of Biological Chemistry. P. Patrizia Mangione, Gennaro Esposito, Annalisa Relini, Sara Raimondi, Riccardo Porcari, Sofia Giorgetti, Alessandra Corazza, Federico Fogolari, Amanda Penco, Yuji Goto, Young-Ho Lee, Hisashi Yagi, Ciro Cecconi, Mohsin M. Naqvi, Julian D. Gillmore, Philip N. Hawkins, Fabrizio Chiti, Ranieri Rolandi, Graham W. Taylor, Mark B. Pepys, Monica Stoppini and Vittorio Bellotti. Structure, Folding Dynamics, and Amyloidogenesis of D76N β2-Microglobulin: ROLES OF SHEAR FLOW, HYDROPHOBIC SURFACES, AND α-CRYSTALLIN. J. Biol. Chem. 2013; 288, 30917–30930. © the American Society for Biochemistry and Molecular Biolog
Human Capital Investment, Credentialing, and Wage Differentials
* Revised: Human capital investment, Signaling, and Wage differentials[13-31, 2013]This study considers how individuals determine the ratio of two kinds of educational investment. One kind contributes to labor skills and the other does not. We refer to the former as human capital investment and the latter as unproductive investment which improves test scores, but has no beneficial effect on students’ human capital. We formulate an overlapping generations economy in which the rich and poor invest in both types of education. We argue that the ratio of human capital investment to unproductive investment is a U-shaped function of the wage differentials between the rich and poor. Moreover, we identify three patterns of stable steady states for these wage differentials, namely, no-inequality, high-inequality, and multiple steady states. Using these results, we conclude that a rapid increase in the level of skill-biased technology may switch the steady state from no inequality to high inequality. Further, it causes a temporary or permanent increase in the ratio of unproductive investment during the transition to the new steady state