A-7 Statistical Report On FIP Applications And Cases Discontinued, May 2004

Monthly statistical report on FIP by the Iowa Department of Human Services

A-1 Monthly Public Assistance Statistical Report Family Investment Program, April 2004

Monthly Public Assistance Statistical Report Family Investment Program

E-1 Monthly Statistical Movement Summary for Entire Iowa Department of Corrections, May 2004

Monthly Statistical Movement Summary for Entire Iowa Department of Corrections

A-1 Monthly Public Assistance Statistical Report Family Investment Program, May 2004

Monthly Public Assistance Statistical Report Family Investment Program

Statistical Overview of Crime and Justice in Iowa, 2004

This Document is an E-Report by the CJJP.

E-1 Monthly Statistical Movement Summary for Entire Iowa Department of Corrections, June 2004

Monthly Statistical Movement Summary for Entire Iowa Department of Corrections

A-1 Monthly Public Assistance Statistical Report Family Investment Program, June 2004

Monthly Public Assistance Statistical Report Family Investment Program

Nuclear magnetic resonance chemical shifts with the statistical average of orbital-dependent model potentials in Kohn-Sham density functional theory

The performance of the SAOP potential for the calculation of NMR chemical shifts was evaluated. SAOP results show considerable improvement with respect to previous potentials, like VWN or BP86, at least for the carbon, nitrogen, oxygen, and fluorine chemical shifts. Furthermore, a few NMR calculations carried out on third period atoms (S, P, and Cl) improved when using the SAOP potential

A stratified approach for modeling the distribution of a threatened ant species in the Swiss National Park

We present models predicting the potential distribution of a threatened ant species, Formica exsecta Nyl., in the Swiss National Park ( SNP). Data to fit the models have been collected according to a random-stratified design with an equal number of replicates per stratum. The basic aim of such a sampling strategy is to allow the formal testing of biological hypotheses about those factors most likely to account for the distribution of the modeled species. The stratifying factors used in this study were: vegetation, slope angle and slope aspect, the latter two being used as surrogates of solar radiation, considered one of the basic requirements of F. exsecta. Results show that, although the basic stratifying predictors account for more than 50% of the deviance, the incorporation of additional non-spatially explicit predictors into the model, as measured in the field, allows for an increased model performance (up to nearly 75%). However, this was not corroborated by permutation tests. Implementation on a national scale was made for one model only, due to the difficulty of obtaining similar predictors on this scale. The resulting map on the national scale suggests that the species might once have had a broader distribution in Switzerland. Reasons for its particular abundance within the SNP might possibly be related to habitat fragmentation and vegetation transformation outside the SNP boundaries.

E-1 Monthly Statistical Movement Summary for Entire Iowa Department of Corrections, July 2004

Monthly Statistical Movement Summary for Entire Iowa Department of Corrections

A-1 Monthly Public Assistance Statistical Report Family Investment Program, January 2002

Monthly Public Assistance Statistical Report Family Investment Program

A-1 Monthly Public Assistance Statistical Report Family Investment Program, December 2001

Monthly Public Assistance Statistical Report Family Investment Program

A-1 Monthly Public Assistance Statistical Report Family Investment Program, February 2002

Monthly Public Assistance Statistical Report Family Investment Program

A-1 Monthly Public Assistance Statistical Report Family Investment Program, March 2002

Monthly Public Assistance Statistical Report Family Investment Program

A-1 Monthly Public Assistance Statistical Report Family Investment Program, June 2003

Monthly Public Assistance Statistical Report Family Investment Program