Wireless E911 Emergency Communications Fund Iowa Homeland Security and Emergency Management Division of the Iowa Department of Public Defense independent auditor's reports, basic financial statements and supplementary information, June 30, 2006.

Audit report on the Wireless E911 Emergency Communication Fund of the Iowa Homeland Security and Emergency Management Division of the Iowa Department of Public Defense for the year ended June 30, 2006

Why a Water Quality Index?, 2005

Iowa has nearly 72,000 miles of streams. With one week of camping, miles of paddling, on-going educational opportunities, and hundreds of dedicated and hard-working Iowans, Project AWARE can make a difference – one stretch of river, one week a year, one piece of trash at a time. If it seems like a vacation to the participants…it is. They just learn and improve the river as they go.

The association between body mass index and patients' experiences with inpatient care.

OBJECTIVE: To explore the association between patients' body mass index (BMI) and their experiences with inpatient care. DESIGN: Cross-sectional. Mail survey. SETTING: University Hospital of Geneva. PARTICIPANTS: Questionnaires were mailed to 2385 eligible adult patients, 6 weeks after discharge (response rate = 69%). MAIN OUTCOME MEASURES: Patients' experiences with care were measured using the Picker inpatient survey questionnaire. BMI was calculated using self-reported height and weight. Main dependent variables were the global Picker patient experience (PPE-15) score and nine dimension-specific problem scores, scored from 0 (no reported problems) to 1 (all items coded as problems). We used linear regressions, adjusting for age, gender, education, subjective health, smoking and hospitalization, to assess the association between patients' BMI and their experiences with inpatient care. RESULTS: Of the patients, 4.8% were underweight, 50.8% had normal weight, 30.3% were overweight and 14.1% were obese. Adjusted analysis shows that compared with normal weight, obesity was significantly associated with fewer problematic items in the surgery-related information domain, and being underweight or overweight was associated with more problematic items in the involvement of family/friends domain. The global PPE-15 score was significantly higher (more problems) for underweight patients. CONCLUSIONS: Underweight patients, but not obese patients, reported more problems during hospitalization.

Beyond Smith's rule: An optimal dynamic index, rule for single machine stochastic scheduling with convex holding costs

Most research on single machine scheduling has assumedthe linearity of job holding costs, which is arguablynot appropriate in some applications. This motivates ourstudy of a model for scheduling $n$ classes of stochasticjobs on a single machine, with the objective of minimizingthe total expected holding cost (discounted or undiscounted). We allow general holding cost rates that are separable,nondecreasing and convex on the number of jobs in eachclass. We formulate the problem as a linear program overa certain greedoid polytope, and establish that it issolved optimally by a dynamic (priority) index rule,whichextends the classical Smith's rule (1956) for the linearcase. Unlike Smith's indices, defined for each class, ournew indices are defined for each extended class, consistingof a class and a number of jobs in that class, and yieldan optimal dynamic index rule: work at each time on a jobwhose current extended class has larger index. We furthershow that the indices possess a decomposition property,as they are computed separately for each class, andinterpret them in economic terms as marginal expected cost rate reductions per unit of expected processing time.We establish the results by deploying a methodology recentlyintroduced by us [J. Niño-Mora (1999). "Restless bandits,partial conservation laws, and indexability. "Forthcomingin Advances in Applied Probability Vol. 33 No. 1, 2001],based on the satisfaction by performance measures of partialconservation laws (PCL) (which extend the generalizedconservation laws of Bertsimas and Niño-Mora (1996)):PCL provide a polyhedral framework for establishing theoptimality of index policies with special structure inscheduling problems under admissible objectives, which weapply to the model of concern.

A genome-wide approach accounting for body mass index identifies genetic variants influencing fasting glycemic traits and insulin resistance.

Recent genome-wide association studies have described many loci implicated in type 2 diabetes (T2D) pathophysiology and β-cell dysfunction but have contributed little to the understanding of the genetic basis of insulin resistance. We hypothesized that genes implicated in insulin resistance pathways might be uncovered by accounting for differences in body mass index (BMI) and potential interactions between BMI and genetic variants. We applied a joint meta-analysis approach to test associations with fasting insulin and glucose on a genome-wide scale. We present six previously unknown loci associated with fasting insulin at P < 5 × 10(-8) in combined discovery and follow-up analyses of 52 studies comprising up to 96,496 non-diabetic individuals. Risk variants were associated with higher triglyceride and lower high-density lipoprotein (HDL) cholesterol levels, suggesting a role for these loci in insulin resistance pathways. The discovery of these loci will aid further characterization of the role of insulin resistance in T2D pathophysiology.

Retirement Investors' Club Plan Document; Fund Fees Comparison, 2005

The Retirement Investors’ Club (RIC) (also referred to as 457/401(a) deferred compensation) is a voluntary retirement savings program designed to help you meet your need for income at retirement and lower your current income taxes. Your contributions to RIC are automatically withdrawn from your paycheck and you are credited with an employer match. You may enroll*and make changes at any time. Other advantages are explained below…keep reading about this excellent employee benefit!

Iowa Department of Transportation report on funds received from the Rebuild Iowa Infrastructure Fund, the State Recreational Trails Fund, the Health Restricted Capitals and the Rail Revolving Loan and Grant Program in fiscal year 2007

House file 2782 (2007 Infrastructure Appropriations Act) requires state agencies that receive appropriations from specific funds to report that information. The Iowa Department of Transportation received funds from the Rebuild Iowa Infrastructure Fund, the State Recreational Trails Fund, the Health Restricted Capitals, and the Rail Revolving Loan and Grant Program in FY 2007. These are the status reports for those funds and the status of the FY2006 funds received from the State Recreational Trails Fund, the Rebuild Iowa Infrastructure Fund and the Tobacco Settlement Trust Fund.

FY 2007 Biodiesel Fuel Revolving Fund Expenditures Report

The Seventy-ninth General Assembly of the State of Iowa, 2001 Regular Session, passed Senate File 465 which was signed by the Governor on April 19, 2001. This act created the biodiesel fuel revolving fund (Fund) to be used to purchase biodiesel fuel for use in the Department of Transportation's (DOT) vehicles. The act directed that the Fund receive money from the sale of EPA credits banked by the DOT on the effective date of the act, moneys appropriated by the General Assembly, and any other moneys obtained or accepted by the DOT for deposit in the Fund. The act also directed the DOT to submit an annual report not later than January 31 of the expenditures made from the Fund during the preceding fiscal year. This is the sixth annual report under the act. In FY 2007, the DOT purchased from the Fund 14,958 gallons of neat soy oil for $31,615, or an average of $2.11 per gallon. This yielded 74,791 gallons of B 20, which is 20 percent biodiesel by volume. Since the beginning of FY 2008, the Fund has received deposits totaling $59,000 which are being used for continued biodiesel purchases.

A house price index defined in the potential outcomes framework

Current methods for constructing house price indices are based on comparisons of sale prices of residential properties sold two or more times and on regression of the sale prices on the attributes of the properties and of their locations. The two methods have well recognised deficiencies, selection bias and model assumptions, respectively. We introduce a new method based on propensity score matching. The average house prices for two periods are compared by selecting pairs of properties, one sold in each period, that are as similar on a set of available attributes (covariates) as is feasible to arrange. The uncertainty associated with such matching is addressed by multiple imputation, framing the problem as involving missing values. The method is applied to aregister of transactions ofresidential properties in New Zealand and compared with the established alternatives.

Iowa Leading Indicators Index Report, July 2006

The Iowa Leading Indicators Index (ILII) is a tool for monitoring the future direction of the Iowa economy and State revenues. Its eight components include an agricultural futures price index, an Iowa stock market index, average weekly manufacturing hours in Iowa, initial unemployment claims in Iowa, an Iowa new orders index, diesel fuel consumption in Iowa, residential building permits in Iowa, and the national yield spread.

Iowa Leading Indicators Index Report, August 2006

The Iowa Leading Indicators Index (ILII) is a tool for monitoring the future direction of the Iowa economy and State revenues. Its eight components include an agricultural futures price index, an Iowa stock market index, average weekly manufacturing hours in Iowa, initial unemployment claims in Iowa, an Iowa new orders index, diesel fuel consumption in Iowa, residential building permits in Iowa, and the national yield spread.

Iowa Leading Indicators Index Report, September 2006

The Iowa Leading Indicators Index (ILII) is a tool for monitoring the future direction of the Iowa economy and State revenues. Its eight components include an agricultural futures price index, an Iowa stock market index, average weekly manufacturing hours in Iowa, initial unemployment claims in Iowa, an Iowa new orders index, diesel fuel consumption in Iowa, residential building permits in Iowa, and the national yield spread.

Iowa Leading Indicators Index Report, October 2006

The Iowa Leading Indicators Index (ILII) is a tool for monitoring the future direction of the Iowa economy and State revenues. Its eight components include an agricultural futures price index, an Iowa stock market index, average weekly manufacturing hours in Iowa, initial unemployment claims in Iowa, an Iowa new orders index, diesel fuel consumption in Iowa, residential building permits in Iowa, and the national yield spread.

Iowa Leading Indicators Index Report, November 2006

The Iowa Leading Indicators Index (ILII) is a tool for monitoring the future direction of the Iowa economy and State revenues. Its eight components include an agricultural futures price index, an Iowa stock market index, average weekly manufacturing hours in Iowa, initial unemployment claims in Iowa, an Iowa new orders index, diesel fuel consumption in Iowa, residential building permits in Iowa, and the national yield spread.