Central Policies for Local Debt: The Case of Teacher Pensions

The recent debt crises in New York City and Cleveland, the deterioration of public infra-structures in certain of our states and larger cities, and the occasional bankruptcy of smaller pension plans suggest that not all of local finance stands on a sound fiscal base. This paper examines the trends in funding for one form of state and local government debt--teacher pensions underfundings -- and asks what a central government might do to check any unwanted growth in these liabilities. The analysis concludes (i) that this form of state-local debt is sizeable and growing, (ii) that state and local governments have an implicit pay-as-you-go bias in pension financing which encourages the growth of debt, but (iii) central government benefit and funding regulations or debt relief policies can slow, or even reverse, that growth.

The A.Q. Khan Illicit Nuclear Trade Network and Implications for Nonproliferation Efforts; Strategic Insights, v. 5, issue 6 July 2006

This article appeared in Strategic Insights, v.5, issue 6 July 2006Approved for public release; distribution is unlimited

An Exercise in Molecular Epidemiology: Human Rhinovirus Prevalence and Genitics

Human rhinovirus (HRV) is one of the most common human respiratory pathogens and is responsible for the majority of upper respiratory illnesses. Recently, a phylogeny was constructed from all known Ameri- can Type Culture Collection (ATCC) HRV sequences. From this study, three HRV classifications (HRVA, HRVB, and HRVC) were determined and techniques for classifying new isolates of HRV were reported. The genetic change of this virus in specific populations over time is of great interest to understand the evolution and epidemiology of viruses. To facilitate the collections of HRV sequences over a number of years, a virology experiment was designed in which students test nasal lavage samples to look for HRV infection. Students will learn a variety of techniques including RNA isolation, cDNA synthesis, qPCR, and agarose gel electrophoresis as well as bioinformatic skills though examination of sequences from the HRV-field isolates. Furthermore, students can look at symptom data from subjects to investigate correla- tions between symptom severity and factors such as stress and sleep patterns. Such information can be used to examine hypotheses regarding HRV mutation, symptom severity and epidemiology