Iowa Department of Commerce Insurance Division, Agency Performance Plan, 2014

Annual Report, Agency Performance Plan

Reproducibility of Fatmax and Fat Oxidation Rates during Exercise in Recreationally Trained Males.

Aerobic exercise training performed at the intensity eliciting maximal fat oxidation (Fatmax) has been shown to improve the metabolic profile of obese patients. However, limited information is available on the reproducibility of Fatmax and related physiological measures. The aim of this study was to assess the intra-individual variability of: a) Fatmax measurements determined using three different data analysis approaches and b) fat and carbohydrate oxidation rates at rest and at each stage of an individualized graded test. Fifteen healthy males [body mass index 23.1±0.6 kg/m2, maximal oxygen consumption ([Formula: see text]) 52.0±2.0 ml/kg/min] completed a maximal test and two identical submaximal incremental tests on ergocycle (30-min rest followed by 5-min stages with increments of 7.5% of the maximal power output). Fat and carbohydrate oxidation rates were determined using indirect calorimetry. Fatmax was determined with three approaches: the sine model (SIN), measured values (MV) and 3rd polynomial curve (P3). Intra-individual coefficients of variation (CVs) and limits of agreement were calculated. CV for Fatmax determined with SIN was 16.4% and tended to be lower than with P3 and MV (18.6% and 20.8%, respectively). Limits of agreement for Fatmax were -2±27% of [Formula: see text] with SIN, -4±32 with P3 and -4±28 with MV. CVs of oxygen uptake, carbon dioxide production and respiratory exchange rate were <10% at rest and <5% during exercise. Conversely, CVs of fat oxidation rates (20% at rest and 24-49% during exercise) and carbohydrate oxidation rates (33.5% at rest, 8.5-12.9% during exercise) were higher. The intra-individual variability of Fatmax and fat oxidation rates was high (CV>15%), regardless of the data analysis approach employed. Further research on the determinants of the variability of Fatmax and fat oxidation rates is required.

Iowa Unemployment Rates by County, January 2014

Iowa Unemployment Rates by County map produced by the Iowa Workforce Development.

Unemployment Rates For Iowa Counties, March 2014

Iowa Unemployment Rates by County map produced by the Iowa Workforce Development.

Fruit size, mineral composition and quality of trickle-irrigated tomatoes as affected by potassium rates

An experiment was conducted to determine the fruit size, mineral composition and quality of trickle-irrigated tomatoes as affected by potassium fertilizer rates. Six potassium (K) rates were applied as KCl, corresponding to 0, 48.4, 118.6, 188.8, 259.0 and 399.4 kg ha-1, with four replicates, following a randomized block design. Quadratic responses to K rates were observed for double extra large (diameter > 60 mm), extra large (56 to 60 mm) and large (52 to 56 mm) fruit yields. Maximum yields of these classes were achieved with K rates of 116, 190 and 233 kg ha-1, respectively. Fruit dry matter, phosphorus, sulfur and magnesium contents were not affected by K rates, but nitrate and K contents showed significant increments as K rates were increased. Vitamin C, total soluble solids, lycopene and beta-carotene contents in the fruits were not affected by K rates. Increments in the K rate lowered the fruit pH and increased total acids content.

Inferring recent migration rates from individual genotypes.

We present a novel and straightforward method for estimating recent migration rates between discrete populations using multilocus genotype data. The approach builds upon a two-step sampling design, where individual genotypes are sampled before and after dispersal. We develop a model that estimates all pairwise backwards migration rates (m(ij), the probability that an individual sampled in population i is a migrant from population j) between a set of populations. The method is validated with simulated data and compared with the methods of BayesAss and Structure. First, we use data for an island model and then we consider more realistic data simulations for a metapopulation of the greater white-toothed shrew (Crocidura russula). We show that the precision and bias of estimates primarily depend upon the proportion of individuals sampled in each population. Weak sampling designs may particularly affect the quality of the coverage provided by 95% highest posterior density intervals. We further show that it is relatively insensitive to the number of loci sampled and the overall strength of genetic structure. The method can easily be extended and makes fewer assumptions about the underlying demographic and genetic processes than currently available methods. It allows backwards migration rates to be estimated across a wide range of realistic conditions.

Iowa Unemployment Rates by County, April 2014

Iowa Unemployment Rates by County map produced by the Iowa Workforce Development.

Audit report on the Northeast Iowa Schools Insurance Trust for the year ended June 30, 2013

Audit report on the Northeast Iowa Schools Insurance Trust for the year ended June 30, 2013

Iowa Unemployment Rates by County, July 2014

Iowa Unemployment Rates by County map produced by the Iowa Workforce Development.

2014 Annual Report to the Governor, Insurance Division (Commerce)

Annual report on the Insurance industry that is due to the Governor by September 1st of each year.

2013 Annual Report to the Governor, Insurance Division(Commerce)

Annual report on the insurance industry that is due to the Governor by September 1st of each year.

Iowa Unemployment Rates by County, August 2014

Iowa Unemployment Rates by County map produced by the Iowa Workforce Development.

Iowa Unemployment Rates by County, September 2014

Iowa Unemployment Rates by County map produced by the Iowa Workforce Development.

The Demand for Social Insurance: Does Culture Matter?

Does culture shape the demand for social insurance against risks to health and work? We study this issue across language groups in Switzerland where a language border sharply separates social groups at identical actual levels of publicly provided social insurance. We find substantially stronger support for expansions of social insurance among residents of French, Italian or Romansh-speaking language border municipalities compared with their German-speaking neighbours in adjacent municipalities. Informal insurance does not vary enough to explain stark differences in social insurance but differences in ideology and segmented media markets potentially contribute to the discrepancy in demand for social insurance.