G-1 Appeal Activity in the Public Assistance Programs, March 2005

Appeal Activity in the Public Assistance Programs, March 2005

G-1 Appeal Activity in the Public Assistance Programs, April 2005

APPEAL ACTIVITY IN THE PUBLIC ASSISTANCE PROGRAMS

G-1 Appeal Activity in the Public Assistance Programs, May 2005

APPEAL ACTIVITY IN THE PUBLIC ASSISTANCE PROGRAMS

G-1 Appeal Activity In The Public Assistance Programs, June 2005

Appeal Activity In The Public Assistance Programs

G-1 Appeal Activity in the Public Assistance Programs, July 2005

G-1 Appeal Activity in the Public Assistance Programs, July 2005

G-1 Appeal Activity in the Public Assistance Programs, August 2005

Appeal Activity in the Public Assistance Programs, August 2005

G-1 Appeal Activity in the Public Assistance Programs, September 2005

G-1 September 2005 report from the Department of Human Services

Iowa Water Pollution Control Works and Drinking Water Facilities Financing Programs, (Joint Programs of the Iowa Finance Authority and The Iowa Department of Natural Resources), Independent Auditor's Reports, Financial Statements and Supplemental Information, June 30, 2004

State Audit Reports

G-1 Appeal Activity in the Public Assistance Programs, October 2005

G-1 Appeal Activity in the Public Assistance Programs - October 2005

G-1 Appeal Activity in the Public Assistance Programs, November 2005

G-1 - Appeal Activity in the Public Assistance - November, 2005

Board of Regent Universities, A Review of Procurement Card Programs, For the Period July 1, 2001 through June 30, 2003

State University Audit Report

Medicaid Programs Desk Aid, 2006

This information is produced by the Department of Elder Affairs, about medicaid benifits.

The influence of learning on evolution: a mathematical framework.

The Baldwin effect can be observed if phenotypic learning influences the evolutionary fitness of individuals, which can in turn accelerate or decelerate evolutionary change. Evidence for both learning-induced acceleration and deceleration can be found in the literature. Although the results for both outcomes were supported by specific mathematical or simulation models, no general predictions have been achieved so far. Here we propose a general framework to predict whether evolution benefits from learning or not. It is formulated in terms of the gain function, which quantifies the proportional change of fitness due to learning depending on the genotype value. With an inductive proof we show that a positive gain-function derivative implies that learning accelerates evolution, and a negative one implies deceleration under the condition that the population is distributed on a monotonic part of the fitness landscape. We show that the gain-function framework explains the results of several specific simulation models. We also use the gain-function framework to shed some light on the results of a recent biological experiment with fruit flies.

G-1 Appeal Activity in the Public Assistance Programs, December 2005

Appeal Activity in the Public Assistance Programs - December 2005

G-1 Appeal Activity in the Public Assistance Programs, January 2006

Appeal Activity in the Public Assistance Programs, January 2006