Student Health Facility Revenue Bond Funds, Iowa State University of Science and Technology, Independent Auditor's Report, Basic Financial Statement and Supplementary Information, June 30, 2006

State University Audit Report

Utility System Revenue Bond Funds, Iowa State University of Science and Technology, Independent Auditor's Report, Basic Financial Statements and Supplementary Information, June 30, 2006

State University Audit Report

Telecommunications Facilities Revenue Bond Funds, Iowa State University of Science and Technology, Independent Auditor's Report, Basic Financial Statements and Supplementary Information, June 30, 2006

State University Audit Report

Parking System Revenue Bond Funds, Iowa State University of Science and Technology, Independent Auditor's Reports, Basic Financial Statements and Supplemental Information, June 30, 2006

State University Audit Report

Ice Arena Facility Revenue Note Funds, Iowa State University of Science and Technology, Independent Auditor's Report, Basic Financial Information and Supplementary Information, June 30, 2006

State University Audit Report

Indoor Multipurpose Use and Training Facility Revenue Bond Funds, Iowa State University of Science and Technology, Independent Auditor's Report, Basic Financial Statements and Supplementary Information, June 30, 2006

State University Audit Report

Regulated Materials Facility Revenue Bond Funds, Iowa State University of Science and Technology, Independent Auditor's Report, Basic Financial Statement and Supplementary Information, June 30, 2006

State University Audit Report

Memorial Union Revenue Bond Funds, Iowa State University of Science and Technology, Independent Auditor's Report, Basic Financial Statements and Supplementary Information, June 30, 2006

State University Audit Report

Report of Recommendations to Iowa State University of Science and Technology on the Review of Selected General and Application Controls over the University's Student Financial Aid System, April 24 through May 12, 2006

State University Audit Report

Neglected risks, financial innovation, and financial fragility

We present a standard model of financial innovation, in which intermediaries engineer securities with cash flows that investors seek, but modify two assumptions. First, investors (and possibly intermediaries) neglect certain unlikely risks. Second, investors demand securities with safe cash flows. Financial intermediaries cater to these preferences and beliefs by engineering securities perceived to be safe but exposed to neglected risks. Because the risks are neglected, security issuance is excessive. As investors eventually recognize these risks, they fly back to safety of traditional securities and markets become fragile, even without leverage, precisely because the volume of new claims is excessive.

Cumulative cultural dynamics and the coevolution of cultural innovation and transmission: an ESS model for panmictic and structured populations.

When individuals in a population can acquire traits through learning, each individual may express a certain number of distinct cultural traits. These traits may have been either invented by the individual himself or acquired from others in the population. Here, we develop a game theoretic model for the accumulation of cultural traits through individual and social learning. We explore how the rates of innovation, decay, and transmission of cultural traits affect the evolutionary stable (ES) levels of individual and social learning and the number of cultural traits expressed by an individual when cultural dynamics are at a steady-state. We explore the evolution of these phenotypes in both panmictic and structured population settings. Our results suggest that in panmictic populations, the ES level of learning and number of traits tend to be independent of the social transmission rate of cultural traits and is mainly affected by the innovation and decay rates. By contrast, in structured populations, where interactions occur between relatives, the ES level of learning and the number of traits per individual can be increased (relative to the panmictic case) and may then markedly depend on the transmission rate of cultural traits. This suggests that kin selection may be one additional solution to Rogers's paradox of nonadaptive culture.

Employment Protection, International Specialization, and Innovation

We develop a model to analyse the implications of firing costs on incentives for R&D and international specialization. The Key idea is paying the firing cost, the country with a rigid labor market will tend to produce relatively secure goods, at a late stage of their product life cycle. Under international trade, an international product cycle emerges where, roughly, new goods are first produced in the low firing cost country will specialize in 'secondary innovations', that is, improvements in existing goods, while the low firing cost country will more specialize in 'primary innovation', that is, invention of new goods.

Stronger Communities through Innovation and Creativity, 2006

This FY2007 budget will continue progress toward growing Iowa’s economy, improving student achievement and expanding health care security. With your cooperation last year we enacted the Strong Start program, the Watershed Improvement Review Board, the Iowa Values Fund, Iowa Cares, the Meth Control Act, a balanced budget and other initiatives which made for a very productive session. In a spirit of cooperation we deliver the FY2007 budget at the start of the session to allow more time for your consideration.

Health indicators associated with poor sleep quality among university students

Objective To associate the sleep quality of Brazilian undergraduate students with health indicators. Method A cross-sectional study was developed with a random sample of 662 undergraduate students from Fortaleza, Brazil. The demographic data, Pittsburgh Sleep Quality Index and health data indicators (smoking, alcoholism, sedentary lifestyle, nutritional condition and serum cholesterol) were collected through a self-administered questionnaire. Blood was collected at a clinical laboratory. In order to estimate the size of the associations, a Poisson Regression was used. Results For students who are daily smokers, the occurrence of poor sleep was higher than in non-smokers (p<0.001). Prevalence rate values were nevertheless close to 1. Conclusion The likelihood of poor sleep is almost the same in smokers and in alcoholics.