Barriers to Employment, March 2001

During the last five years, Iowa has experienced a shortage of workers and will continue to feel the impact of a short labor supply. As the state prepares to reverse this trend of a declining population, attracting immigrants and refugees has great potential. In addition, released preliminary reports from the 2000 Census are reporting growth of the Latino population in several Iowa counties. This survey was conducted as a way to supplement the information collected about the Latino population by the State Public Policy Group in 1999, Snapshot in Time: A clear view of the importance, value and impacts of the Latino population in central Iowa. (Una Foto Actual de la Comunicad Latina: Un panoramaclaro de la importancia, del valor, y de los impactos de la población Latina en el área central de Iowa.) Although this survey was enlightening, it was broad in scope. It was the goal of the agency to collect more specific data regarding workforce needs and barriers that the Latino population encounter in the State of Iowa. Although it was the desire to broaden the scope of the previous survey, it should be noted that the survey samples were not identical. But it is recognized that because the Latino population within the state is small, some of the respondents could have participated in both surveys. We were also hoping to benefit from the extensive work conducted by SPPG within the community as a way to increase the response rate for this survey. This executive summary highlights some of the most significant findings from the survey of Latinos residing in Central Iowa. This analysis centers on the impact the Latino population can have in filling the labor shortages and how Iowa can best embrace the new Iowan. In addition, some of the key findings could offer insight into removing unnecessary barriers that prevent immigrants from utilizing valuable work skills as they integrate into the workforce. This information may be insightful to community leaders and employers who want to welcome new immigrants into their community. The following diagram collected from the 2000 Census illustrates the percentage of Latinos residing in the state.

IDALS-DSC Programs, 2009

Over 94% of Iowa ’ s land is held in private ownership, and the programs of the Iowa Department of Agriculture and Land Stewardship Division of Soil Conservation ( IDALS-DSC ) have been established to work with these landowners. Over 90% of the landscape is used for agricultural production so much of our focus is in rural communities, but we haven ’ t overlooked the importance of land management in urban areas. It is crucial to our understanding of both conservation and hydrology issues, that what happens on the landscape has immense consequences to the environmental health of our state and the quality of life we enjoy. IDALS-DSC is striving to integrate our programs with other agencies and local concerns to improve water and soil quality throughout the state and nation.

Working with Iowans building a culture of conservation, Program Summary, November 2008

Over 94% of Iowa ’ s land is held in private ownership, and the programs of the Iowa Department of Agriculture and Land Stewardship Division of Soil Conservation (IDALS-DSC) have been established to work with these landowners. Over 90% of the landscape is used for agricultural production so much of our focus is in rural communities, but we haven’t overlooked the importance of land management in urban areas. It is crucial to understanding of both conservation and hydrology issues, that what happens on the landscape has immense consequences to the environmental health of our state and the quality of life we enjoy. IDALS-DSC is striving to integrate our programs with other agencies and local concerns to improve water and local concerns to improve water and soil quality throughout the state and nation.

Iowa DOT GeoMedia Training Manual,1998.

The varying title of this manual is : Coordinated Transportation Analysis and Management System. It gives instructions on how to use GeoMedia in order to integrate data from multiple sources and formats into one environment, perform sophisticated queries and spatial analyses, and quickly produce complex maps.

Integration of Bridge Damage Detection Concepts and Components (3 volumes), TR-636, 2013

This work is divided into three volumes: Volume I: Strain-Based Damage Detection; Volume II: Acceleration-Based Damage Detection; Volume III: Wireless Bridge Monitoring Hardware. Volume I: In this work, a previously-developed structural health monitoring (SHM) system was advanced toward a ready-for-implementation system. Improvements were made with respect to automated data reduction/analysis, data acquisition hardware, sensor types, and communication network architecture. The statistical damage-detection tool, control-chart-based damage-detection methodologies, were further investigated and advanced. For the validation of the damage-detection approaches, strain data were obtained from a sacrificial specimen attached to the previously-utilized US 30 Bridge over the South Skunk River (in Ames, Iowa), which had simulated damage,. To provide for an enhanced ability to detect changes in the behavior of the structural system, various control chart rules were evaluated. False indications and true indications were studied to compare the damage detection ability in regard to each methodology and each control chart rule. An autonomous software program called Bridge Engineering Center Assessment Software (BECAS) was developed to control all aspects of the damage detection processes. BECAS requires no user intervention after initial configuration and training. Volume II: In this work, a previously developed structural health monitoring (SHM) system was advanced toward a ready-for-implementation system. Improvements were made with respect to automated data reduction/analysis, data acquisition hardware, sensor types, and communication network architecture. The objective of this part of the project was to validate/integrate a vibration-based damage-detection algorithm with the strain-based methodology formulated by the Iowa State University Bridge Engineering Center. This report volume (Volume II) presents the use of vibration-based damage-detection approaches as local methods to quantify damage at critical areas in structures. Acceleration data were collected and analyzed to evaluate the relationships between sensors and with changes in environmental conditions. A sacrificial specimen was investigated to verify the damage-detection capabilities and this volume presents a transmissibility concept and damage-detection algorithm that show potential to sense local changes in the dynamic stiffness between points across a joint of a real structure. The validation and integration of the vibration-based and strain-based damage-detection methodologies will add significant value to Iowa’s current and future bridge maintenance, planning, and management Volume III: In this work, a previously developed structural health monitoring (SHM) system was advanced toward a ready-for-implementation system. Improvements were made with respect to automated data reduction/analysis, data acquisition hardware, sensor types, and communication network architecture. This report volume (Volume III) summarizes the energy harvesting techniques and prototype development for a bridge monitoring system that uses wireless sensors. The wireless sensor nodes are used to collect strain measurements at critical locations on a bridge. The bridge monitoring hardware system consists of a base station and multiple self-powered wireless sensor nodes. The base station is responsible for the synchronization of data sampling on all nodes and data aggregation. Each wireless sensor node include a sensing element, a processing and wireless communication module, and an energy harvesting module. The hardware prototype for a wireless bridge monitoring system was developed and tested on the US 30 Bridge over the South Skunk River in Ames, Iowa. The functions and performance of the developed system, including strain data, energy harvesting capacity, and wireless transmission quality, were studied and are covered in this volume.

TraumaHawk: Improving Treatment for Crash Victims Using Photos and a Smartphone App

Photographic documentation of crashed vehicles at the scene can be used to improve triage of crash victims. A U.S. expert panel developed field triage rules to determine the likelihood of occupants sustaining serious injuries based on vehicle damage that would require transport to a trauma center (Sasser et al., 2011). The use of photographs for assessing vehicle damage and occupant compartment intrusion as it correlates to increased injury severity has been validated (Davidson et al., 2014). Providing trauma staff with crash scene photos remotely could assist them in predicting injuries. This would allow trauma care providers to assess the appropriate transport, as well as develop mental models of treatment options prior to patient arrival at the emergency department (ED). Crash-scene medical response has improved tremendously in the past 20-30 years. This is in part due to the increasing number of paramedics who now have advanced life support (ALS) training that allows independence in the field. However, while this advanced training provides a more streamlined field treatment protocol, it also means that paramedics focused on treating crash victims may not have time to communicate with trauma centers regarding crash injury mechanisms. As a result, trauma centers may not learn about severe trauma patients until just a few minutes before they arrive. The information transmitted by the TraumaHawk app allows interpretation of injury mechanisms from crash scene photos at the trauma center, providing clues about the type and severity of injury. With strategic crash scene photo documentation, trained trauma professionals can assess the severity and patterns of injury based on exterior crush and occupant intrusion. Intrusion increases the force experienced by vehicle occupants, which translates into a higher level of injury severity (Tencer et al., 2005; Assal et al., 2002; Mandell et al., 2010). First responders have the unique opportunity to assess the damaged vehicle at the crash scene, but often the mechanism of injury is limited or not even relayed to ED trauma staff. To integrate photographic and scene information, an app called TraumaHawk was created to capture images of crash vehicles and send them electronically to the trauma center. If efficiently implemented, it provides the potential advantage of increasing lead-time for preparation at the trauma center through the crash scene photos. Ideally, the result is better treatment outcomes for crash victims. The objective of this analysis was to examine if the extra lead-time granted by the TraumaHawk app could improve trauma team activation time over the current conventional communication method.