Decision Support Model for Assessing Archaeological Survey Needs for Bridge Replacement Projects in Iowa, 2006

The Bridges Decision Support Model is a geographic information system (GIS) that assembles existing data on archaeological sites, surveys, and their geologic contexts to assess the risk of bridge replacement projects encountering 13,000- to 150-year-old Native American sites. This project identifies critical variables for assessing prehistoric sites potential, examines the quality of available data about the variables, and applies the data to creating a decision support framework for use by the Iowa Department of Transportation (Iowa DOT) and others. An analysis of previous archaeological surveys indicates that subsurface testing to discover buried sites became increasingly common after 1980, but did not become routine until after the adoption of guidelines recommending such testing, in 1993. Even then, the average depth of testing has been relatively shallow. Alluvial deposits of sufficient age, deposited in depositional environments conducive to human habitation, are considerably thicker than archaeologists have routinely tested.

GIS - Based Decision and Outreach Tools for Aggregate Source Management, September 2008

This research project combined various datasets, existing and created for this project, into an Interactive Mapping Service (IMS) for use by Iowa DOT personnel, county planning and zoning departments and the public in order to make more informed decisions regarding aggregate sources and future access to them. Iowa DOT Technical Advisory Committee meetings were held, along with public forum presentations, in order to understand better the social, ecological and economic limitations to extracting aggregate. The information needed by potential users was conveyed and integrated into a single informational source, the Aggregate Planning IMS.

Leadership Agenda and Strategic Progress Report, 2007-2008

Early Childhood Iowa (ECI) is an alliance of stakeholders in early care, health, and education that affect children age zero to five in the State of Iowa. Its purpose is to support a comprehensive, integrated early care, health and education system for Iowa. All activities of the system are aligned around a common vision for Iowa: Every child, beginning at birth, will be healthy and successful.Membership is voluntary and open to anyone self-identifying as a “stakeholder” in Iowa’s early care, health, and education system. The process for membership will be with as few barriers or constraints as possible. Individuals seeking membership should agree to the vision for an early care, health, and education system in Iowa and to the principles and core beliefs of the ECI Stakeholders. The structure of ECI includes six system component groups that describe the necessary elements of an effective and comprehensive early care, health, and education system, as well as a State Agency Liaison group and a Co-chairs group. Membership in each component group is open to anyone with an interest in the unique responsibilities of a implementing an early care, health and education system.

Strategic Enterprise Architecture Management - Challenges, Best Practices, and Future Developments

The discipline of Enterprise Architecture Management (EAM) deals with the alignment of business and information systems architectures. While EAM has long been regarded as a discipline for IT managers this book takes a different stance: It explains how top executives can use EAM for leveraging their strategic planning and controlling processes and how EAM can contribute to sustainable competitive advantage. Based on the analysis of best practices from eight leading European companies from various industries the book presents crucial elements of successful EAM. It outlines what executives need to do in terms of governance, processes, methodologies and culture in order to bring their management to the next level. Beyond this, the book points how EAM might develop in the next decade allowing today's managers to prepare for the future of architecture management.

Shared decision making development in Switzerland: room for improvement!

In Switzerland there is a strong movement at a national policy level towards strengthening patient rights and patient involvement in health care decisions. Yet, there is no national programme promoting shared decision making. First decision support tools (prenatal diagnosis and screening) for the counselling process have been developed and implemented. Although Swiss doctors acknowledge that shared decision making is important, hierarchical structures and asymmetric physician-patient relationships are still prevailing. The last years have seen some promising activities regarding the training of medical students and the development of patient support programmes. Swiss direct democracy and the habit of consensual decision making and citizen involvement in general may provide a fertile ground for SDM development in the primary care setting.

Iowa Public Employees Retirement System Strategic Plan, 2012-2017

This report outlines the strategic plan for Iowa Public Employees Retirement System, goals and mission.

The InterActive Choice Aid: A new approach to supporting online consumer decision making

Interactive Choice Aid (ICA) is a decision aid, introduced in this paper, that systematically assists consumers with online purchase decisions. ICA integrates aspects from prescriptive decision theory, insights from descriptive decision research, and practical considerations; thereby combining pre-existing best practices with novel features. Instead of imposing an objectively ideal but unnatural decision procedure on the user, ICA assists the natural process of human decision-making by providing explicit support for the execution of the user's decision strategies. The application contains an innovative feature for in-depth comparisons of alternatives through which users' importance ratings are elicited interactively and in a playful way. The usability and general acceptance of the choice aid was studied; results show that ICA is a promising contribution and provides insights that may further improve its usability.

Strategic Adaptation in Function of Chronicity of Schizophrenic Symptoms During A Fluency Task: An fMRI Study

Background: Language processing abnormalities and executive difficulties are hallmark features of schizophrenia. The objective of this study is to assess the blood oxygenation level-dependent (BOLD) response at two different stages of the illness (i.e. comparison between adolescents and adults with schizophrenic symptoms) during a fluency task.Methods: BOLD responses during a covert verbal fluency task were compared between 11 psychotic adolescents with schizophrenic symptoms (mean age 16,9 years) and 14 adults with schizophrenia (mean age 33,4 years). fMRI data were analyzed with standard routine of spm5.Results: First, expected activation's network was found for both groups, separately. Secondly, adolescents showed greater activation in left rolandic opercule (BA 48), left angular (BA 39) and right hippocampus compared to adults. Thirdly, adults demonstrated greater activation in presupplementary motor area (BA 6) and in precentral area (BA 4) compared to adolescents.Conclusions: The adolescents seemed to recruit a verbal network (Broca and Wernicke) and memory abilities to perform a fluency task. In contrast, adults seemed to recruit more executive function abilities to perform a similar task. Despite the evolution of schizophrenia, which is known to have a deleterious influence on the prefrontal cortex development, adult patients seemed to be able to recruit such areas to perform a verbal fluency / executive function task.

Toxic substances in blood: an analysis of current recommendations under a Bayesian (decision) approach

This article extends existing discussion in literature on probabilistic inference and decision making with respect to continuous hypotheses that are prevalent in forensic toxicology. As a main aim, this research investigates the properties of a widely followed approach for quantifying the level of toxic substances in blood samples, and to compare this procedure with a Bayesian probabilistic approach. As an example, attention is confined to the presence of toxic substances, such as THC, in blood from car drivers. In this context, the interpretation of results from laboratory analyses needs to take into account legal requirements for establishing the 'presence' of target substances in blood. In a first part, the performance of the proposed Bayesian model for the estimation of an unknown parameter (here, the amount of a toxic substance) is illustrated and compared with the currently used method. The model is then used in a second part to approach-in a rational way-the decision component of the problem, that is judicial questions of the kind 'Is the quantity of THC measured in the blood over the legal threshold of 1.5 μg/l?'. This is pointed out through a practical example.