Licensing and Operating Your Business in Iowa, 2010

The IDED Web site hosts the online Business License Information Center (BLIC) which provides 24/7 access and comprehensive information on compliance requirements for doing business in Iowa. BLIC also provides convenient, effective and timely information on license, permits, and registrations required by the state of Iowa for businesses and occupations. Users may access assistance by license type, keyword, or the business wizard. Many useful factsheets and guides are available at BLIC.

Iowa Autism Council By-Laws and Operating Procedures, Revised 2012

These By-laws and Operating Procedures are designed to guide the membership and work of the Iowa Autism Council. The Iowa Autism Council is a collaborative resource that envisions its role as an advocate for children and adults living with Autism Spectrum Disorder (autism and Asperger's and other conditions represented on the autism spectrum) and their families. As such, it is committed to representing individuals with diverse and changing educational needs. Iowa Autism Council (IAC) shall have, and will perform, functions and duties as specified by law. Responsibilities include offering advice, consultation, and recommendations to Governor Culver and the Iowa legislature regarding matters concerning the ASD population. The role of the Council members is to advise, not advocate, for an individual position. Advise means to inform, counsel, recommend, suggest or guide. To advocate means to plead for your case or position, to favor an individual case or argument. The advisory Council is to provide advice, based on facts and good judgment.

1981 train operating speeds : [Iowa],1981

This railroad map shows Iowa rail carriers and train speeds.

Development of Asphalt Dynamic Modulus Master Curve Using Falling Weight Deflectometer Measurements, TR-659

The asphalt concrete (AC) dynamic modulus (|E*|) is a key design parameter in mechanistic-based pavement design methodologies such as the American Association of State Highway and Transportation Officials (AASHTO) MEPDG/Pavement-ME Design. The objective of this feasibility study was to develop frameworks for predicting the AC |E*| master curve from falling weight deflectometer (FWD) deflection-time history data collected by the Iowa Department of Transportation (Iowa DOT). A neural networks (NN) methodology was developed based on a synthetically generated viscoelastic forward solutions database to predict AC relaxation modulus (E(t)) master curve coefficients from FWD deflection-time history data. According to the theory of viscoelasticity, if AC relaxation modulus, E(t), is known, |E*| can be calculated (and vice versa) through numerical inter-conversion procedures. Several case studies focusing on full-depth AC pavements were conducted to isolate potential backcalculation issues that are only related to the modulus master curve of the AC layer. For the proof-of-concept demonstration, a comprehensive full-depth AC analysis was carried out through 10,000 batch simulations using a viscoelastic forward analysis program. Anomalies were detected in the comprehensive raw synthetic database and were eliminated through imposition of certain constraints involving the sigmoid master curve coefficients. The surrogate forward modeling results showed that NNs are able to predict deflection-time histories from E(t) master curve coefficients and other layer properties very well. The NN inverse modeling results demonstrated the potential of NNs to backcalculate the E(t) master curve coefficients from single-drop FWD deflection-time history data, although the current prediction accuracies are not sufficient to recommend these models for practical implementation. Considering the complex nature of the problem investigated with many uncertainties involved, including the possible presence of dynamics during FWD testing (related to the presence and depth of stiff layer, inertial and wave propagation effects, etc.), the limitations of current FWD technology (integration errors, truncation issues, etc.), and the need for a rapid and simplified approach for routine implementation, future research recommendations have been provided making a strong case for an expanded research study.

Issue review : construction status and operating costs of new corrections beds.

This issue review provides information on the Department of Corrections construction and of proposed staffing for additional beds in the prison system and community-based corrections.

Biological Sampling and Physical Habitat Assessment Standard Operating Procedure for Iowa Wadeable Streams and Rivers, July 24, 2015

The Iowa Department of Natural Resources uses benthic macroinvertebrate and fish sampling data to assess stream biological condition and the support status of designated aquatic life uses (Wilton 2004; IDNR 2013). Stream physical habitat data assist with the interpretation of biological sampling results by quantifying important physical characteristics that influence a stream’s ability to support a healthy aquatic community (Heitke et al., 2006; Rowe et al. 2009; Sindt et al., 2012). This document describes aquatic community sampling and physical habitat assessment procedures currently followed in the Iowa stream biological assessment program. Standardized biological sampling and physical habitat assessment procedures were first established following a pilot sampling study in 1994 (IDNR 1994a, 1994b). The procedure documents were last updated in 2001 (IDNR 2001a; 2001b). The biological sampling and physical habitat assessment procedures described below are evaluated on a continual basis. Revision of this working document will occur periodically to reflect additional changes.