Applicability of a distributed watershed pollution model in a data-poor environment in Santa Catarina State, Brazil

Intensification of agricultural production without a sound management and regulations can lead to severe environmental problems, as in Western Santa Catarina State, Brazil, where intensive swine production has caused large accumulations of manure and consequently water pollution. Natural resource scientists are asked by decision-makers for advice on management and regulatory decisions. Distributed environmental models are useful tools, since they can be used to explore consequences of various management practices. However, in many areas of the world, quantitative data for model calibration and validation are lacking. The data-intensive distributed environmental model AgNPS was applied in a data-poor environment, the upper catchment (2,520 ha) of the Ariranhazinho River, near the city of Seara, in Santa Catarina State. Steps included data preparation, cell size selection, sensitivity analysis, model calibration and application to different management scenarios. The model was calibrated based on a best guess for model parameters and on a pragmatic sensitivity analysis. The parameters were adjusted to match model outputs (runoff volume, peak runoff rate and sediment concentration) closely with the sparse observed data. A modelling grid cell resolution of 150 m adduced appropriate and computer-fit results. The rainfall runoff response of the AgNPS model was calibrated using three separate rainfall ranges (< 25, 25-60, > 60 mm). Predicted sediment concentrations were consistently six to ten times higher than observed, probably due to sediment trapping along vegetated channel banks. Predicted N and P concentrations in stream water ranged from just below to well above regulatory norms. Expert knowledge of the area, in addition to experience reported in the literature, was able to compensate in part for limited calibration data. Several scenarios (actual, recommended and excessive manure applications, and point source pollution from swine operations) could be compared by the model, using a relative ranking rather than quantitative predictions.

Essays on the measurement of school efficiency

Measuring school efficiency is a challenging task. First, a performance measurement technique has to be selected. Within Data Envelopment Analysis (DEA), one such technique, alternative models have been developed in order to deal with environmental variables. The majority of these models lead to diverging results. Second, the choice of input and output variables to be included in the efficiency analysis is often dictated by data availability. The choice of the variables remains an issue even when data is available. As a result, the choice of technique, model and variables is probably, and ultimately, a political judgement. Multi-criteria decision analysis methods can help the decision makers to select the most suitable model. The number of selection criteria should remain parsimonious and not be oriented towards the results of the models in order to avoid opportunistic behaviour. The selection criteria should also be backed by the literature or by an expert group. Once the most suitable model is identified, the principle of permanence of methods should be applied in order to avoid a change of practices over time. Within DEA, the two-stage model developed by Ray (1991) is the most convincing model which allows for an environmental adjustment. In this model, an efficiency analysis is conducted with DEA followed by an econometric analysis to explain the efficiency scores. An environmental variable of particular interest, tested in this thesis, consists of the fact that operations are held, for certain schools, on multiple sites. Results show that the fact of being located on more than one site has a negative influence on efficiency. A likely way to solve this negative influence would consist of improving the use of ICT in school management and teaching. Planning new schools should also consider the advantages of being located on a unique site, which allows reaching a critical size in terms of pupils and teachers. The fact that underprivileged pupils perform worse than privileged pupils has been public knowledge since Coleman et al. (1966). As a result, underprivileged pupils have a negative influence on school efficiency. This is confirmed by this thesis for the first time in Switzerland. Several countries have developed priority education policies in order to compensate for the negative impact of disadvantaged socioeconomic status on school performance. These policies have failed. As a result, other actions need to be taken. In order to define these actions, one has to identify the social-class differences which explain why disadvantaged children underperform. Childrearing and literary practices, health characteristics, housing stability and economic security influence pupil achievement. Rather than allocating more resources to schools, policymakers should therefore focus on related social policies. For instance, they could define pre-school, family, health, housing and benefits policies in order to improve the conditions for disadvantaged children.

Just the Facts for 2011

There are 20,552 full-time employees who work for the State of Iowa Executive Branch (excluding Fair Authority, Community-Based Corrections, and the Regents employees). These employees are undoubtedly the most valuable resource for providing timely and quality services to Iowans. To strategically manage this resource, state departments and policymakers must have thorough and accurate information. The information in “Just the Facts for 2008” is a snapshot of the workforce, collected, compiled, and presented in a format that will aid agencies and decision makers in strategic planning. In many cases, data cover a number of years and are presented to give the reader a sense of trends. While the Department of Administrative Services, Human Resource Enterprise (DAS/HRE) wants to present data in its purest form so readers can draw their own conclusions, we also have a responsibility to clarify anything that may be confusing or misleading. It is important to highlight workforce trends and explain their significance to the work of Iowa state government. The following chapter summaries are intended to do that.

Just the Facts for 2009

There are 20,552 full-time employees who work for the State of Iowa Executive Branch (excluding Fair Authority, Community-Based Corrections, and the Regents employees). These employees are undoubtedly the most valuable resource for providing timely and quality services to Iowans. To strategically manage this resource, state departments and policymakers must have thorough and accurate information. The information in “Just the Facts for 2008” is a snapshot of the workforce, collected, compiled, and presented in a format that will aid agencies and decision makers in strategic planning. In many cases, data cover a number of years and are presented to give the reader a sense of trends. While the Department of Administrative Services, Human Resource Enterprise (DAS/HRE) wants to present data in its purest form so readers can draw their own conclusions, we also have a responsibility to clarify anything that may be confusing or misleading. It is important to highlight workforce trends and explain their significance to the work of Iowa state government. The following chapter summaries are intended to do that.

Just the Facts for 2010

There are 20,552 full-time employees who work for the State of Iowa Executive Branch (excluding Fair Authority, Community-Based Corrections, and the Regents employees). These employees are undoubtedly the most valuable resource for providing timely and quality services to Iowans. To strategically manage this resource, state departments and policymakers must have thorough and accurate information. The information in “Just the Facts for 2008” is a snapshot of the workforce, collected, compiled, and presented in a format that will aid agencies and decision makers in strategic planning. In many cases, data cover a number of years and are presented to give the reader a sense of trends. While the Department of Administrative Services, Human Resource Enterprise (DAS/HRE) wants to present data in its purest form so readers can draw their own conclusions, we also have a responsibility to clarify anything that may be confusing or misleading. It is important to highlight workforce trends and explain their significance to the work of Iowa state government. The following chapter summaries are intended to do that.

Sustainable Concrete Pavements: A Manual of Practice, January 2012

Sustainable Concrete Pavements: A Manual of Practice is a product of the National Concrete Pavement Technology Center at Iowa State University’s Institute for Transportation, with funding from the Federal Highway Administration (DTFH61-06-H-00011, Work Plan 23). Developed as a more detailed follow-up to a 2009 briefing document, Building Sustainable Pavement with Concrete, this guide provides a clear, concise, and cohesive discussion of pavement sustainability concepts and of recommended practices for maximizing the sustainability of concrete pavements. The intended audience includes decision makers and practitioners in both owner-agencies and supply, manufacturing, consulting, and contractor businesses. Readers will find individual chapters with the most recent technical information and best practices related to concrete pavement design, materials, construction, use/operations, renewal, and recycling. In addition, they will find chapters addressing issues specific to pavement sustainability in the urban environment and to the evaluation of pavement sustainability. Development of this guide satisfies a critical need identified in the Sustainability Track (Track 12) of the Long-Term Plan for Concrete Pavement Research and Technology (CP Road Map). The CP Road Map is a national research plan jointly developed by the concrete pavement stakeholder community, including Federal Highway Administration, academic institutions, state departments of transportation, and concrete pavement–related industries. It outlines 12 tracks of priority research needs related to concrete pavements. CP Road Map publications and other operations support services are provided by the National Concrete Pavement Technology Center at Iowa State University. For details about the CP Road Map, see www.cproadmap. org/index.cfm.

Council Bluffs Interstate System Improvements Project Pottawatomie County, Iowa and Douglas County, Nebraska Project Number: IM-029-3(62)54-13-78, November 2004

The Iowa Department of Transportation (Iowa DOT), Nebraska Department of Roads (NDOR), and the Federal Highway Administration (FHWA) are proposing to improve the interstate system around Council Bluffs with improvements extending across the Missouri River on I-80 to east of the I-480 interchange in Omaha, Nebraska, see Figure 1-1. The study considers long-term, broad-based transportation improvements along I-80, I-29, and I-480, including approximately 18 mainline miles of interstate and 14 interchanges (3 system1, 11 service), that would add capacity and correct functional issues along the mainline and interchanges and upgrade the I-80 Missouri River Crossing. These improvements, once implemented, would bring the segments of I-80 and I-29 up to current engineering standards and modernize the roadway to accommodate future traffic needs. In 2001, Iowa DOT and FHWA initiated the Council Bluffs Interstate System (CBIS) Improvements Project. The agencies concluded that the environmental study process would be conducted in two stages; that is, a tiered approach would be applied. The project is being conducted pursuant to the National Environmental Policy Act (NEPA) regulations issued by the Council on Environmental Quality (CEQ), 40 Code of Federal Regulations (CFR) Part 1502.20, and FHWA 23 CFR Part 771.111, that permit tiering for large, complex NEPA studies. Tier 1 is an examination of the overall interstate system improvement needs, including a clear explanation of the area’s transportation needs, a study of alternatives to satisfy them, and broad consideration of potential environmental and social impacts. The Tier 1 evaluation is at a sufficient level of engineering and environmental detail to assist decision makers in selecting a preferred transportation strategy. Tier 1 includes preparation of a draft and final Environmental Impact Statement (EIS) that would disclose the potential environmental and social effects (evaluated at a planning level that considers a variety of conceptual designs) of the proposed improvements. The final EIS will conclude with a Record of Decision (ROD) that states the preferred plan for improvements to be implemented. Essentially, the Tier 1 document will establish the planning framework for the needed improvements. Because the scope of the overall system improvements is large, the interstate improvements would be implemented as a series of individual projects that fit into the overall planning framework. The Tier 1 Area of Potential Impact, which is discussed in detail in Section 4 is an alternative that considers a combination of the most reasonable concepts that have been developed, buffered by approximately 100 or more feet to ensure that any Tier 2 design modifications would remain inside the outer boundary.

DEA does not like positive discrimination : a comparison of alternative models based on empirical data

Due to the existence of free software and pedagogical guides, the use of data envelopment analysis (DEA) has been further democratized in recent years. Nowadays, it is quite usual for practitioners and decision makers with no or little knowledge in operational research to run themselves their own efficiency analysis. Within DEA, several alternative models allow for an environment adjustment. Five alternative models, each of them easily accessible to and achievable by practitioners and decision makers, are performed using the empirical case of the 90 primary schools of the State of Geneva, Switzerland. As the State of Geneva practices an upstream positive discrimination policy towards schools, this empirical case is particularly appropriate for an environment adjustment. The alternative of the majority of DEA models deliver divergent results. It is a matter of concern for applied researchers and a matter of confusion for practitioners and decision makers. From a political standpoint, these diverging results could lead to potentially opposite decisions. Grâce à l'existence de logiciels en libre accès et de guides pédagogiques, la méthode data envelopment analysis (DEA) s'est démocratisée ces dernières années. Aujourd'hui, il n'est pas rare que les décideurs avec peu ou pas de connaissances en recherche opérationnelle réalisent eux-mêmes leur propre analyse d'efficience. A l'intérieur de la méthode DEA, plusieurs modèles permettent de tenir compte des conditions plus ou moins favorables de l'environnement. Cinq de ces modèles, facilement accessibles et applicables par les décideurs, sont utilisés pour mesurer l'efficience des 90 écoles primaires du canton de Genève, Suisse. Le canton de Genève pratiquant une politique de discrimination positive envers les écoles défavorisées, ce cas pratique est particulièrement adapté pour un ajustement à l'environnement. La majorité des modèles DEA génèrent des résultats divergents. Ce constat est préoccupant pour les chercheurs appliqués et perturbant pour les décideurs. D'un point de vue politique, ces résultats divergents conduisent à des prises de décision différentes selon le modèle sur lequel elles sont fondées.

Part I. Iowa Railroad Investment Plan, 2009

The 2009 Iowa Railroad System Plan details the state’s role in providing and preserving adequate, safe and efficient rail transportation services to Iowans. The plan is intended to serve as a guide for decision makers and provides a basis for future Iowa DOT policy, funding priorities and programming decisions that affect rail transportation service in Iowa. The primary purpose of the 2009 Iowa Railroad System Plan is to guide the Iowa DOT in pursuing actions that maintain and improve railroad transportation in Iowa. The plan is a component of the Iowa Statewide Transportation Plan known as “Iowa in Motion.” This plan considers railroads from an intermodal perspective. Many commodities that move by rail also move by other modes (principally trucks) during part of their journey from origin to destination. The same is true of persons who use rail passenger service to make trips and who must also rely on other modes to access rail service. Therefore, railroads are part of larger intermodal freight and passenger transportation systems.

Citizens' preferences for brand name drugs for treating acute and chronic conditions: a pilot study.

Background: Generic drugs have been advocated to decrease the proportion of healthcare costs devoted to drugs, but are still underused. Objective: To assess citizens' preferences for brand name drugs (BNDs) compared with generic drugs for treating acute and chronic conditions. Methods: A questionnaire with eight hypothetical scenarios describing four acute and four chronic conditions was developed, with willingness to pay (WTP) determined using a payment card system randomized to ascending (AO) or descending order (DO) of prices. The questionnaire was distributed with an explanation sheet, an informed consent form and a pre-stamped envelope over a period of 3 weeks in 19 community pharmacies in Lausanne, Switzerland. The questionnaire was distributed to every third customer who also had health insurance, understood French and was aged =16 years (up to a maximum of ten customers per day and 100 per pharmacy). The main outcome measure was preferences assessed by WTP for BNDs as compared with generics, and impact of participants' characteristics on WTP. Results: Of the 1800 questionnaires, 991 were distributed and 393 returned (pharmacy participation rate?=?55%, subject participation rate?=?40%, overall response rate?=?22%); 51.7% were AO and 48.3% DO. Participants were predominantly women (62.6%) and of median age 62 years (range 16-90). The majority (70%) declared no WTP for BNDs as compared with generics. WTP was higher in people with an acute disease than in those with a chronic disease, did not depend on the type of chronic disease, and was higher in people from countries other than Switzerland. Conclusions: Most citizens visiting pharmacies attribute no added value to BNDs as compared with generics, although some citizen characteristics affected WTP. These results could be of interest to several categories of decision makers within the healthcare system.

Factors associated with infant low birth weight among Medicaid reimbursed births in Iowa, 2010

The purpose of the fact sheet is to highlight the characteristics of Iowa women who gave birth to low birth weight infants during 2010 and to guide decision makers in implementing programs that improve the health outcomes of the mothers and infants who rely on Medicaid coverage.

2010 Iowa Medicaid – Birth Certificate – Barriers to Prenatal Care Project Match Report Summary of Findings for Medicaid Reimbursed Births

The purpose of the fact sheet is to summarize the Iowa Barriers to Prenatal Care Project’s survey results for women with Medicaid reimbursed births during 2010. This information will be used to guide decision makers in implementing programs that improve the health outcomes of the women and infants who rely on Medicaid coverage.

Birth Certificate Match Report Comparison of Maternal Demographic Characteristics Medicaid vs. Non-Medicaid Reimbursed Births – 2010 Iowa Medicaid

The purpose of the fact sheet is to highlight the characteristics of Iowa women who gave birth in Iowa during calendar year 2010, with a focus on women with labor and delivery costs reimbursed by Medicaid compared to women with labor and delivery costs not reimbursed by Medicaid. This information will be used to guide decision makers in implementing programs that improve the health outcomes of the women and infants who rely on Medicaid coverage.

Advanced geostatistical and machine-learning models for spatial data analysis of radioactively contaminated regions

Radioactive soil-contamination mapping and risk assessment is a vital issue for decision makers. Traditional approaches for mapping the spatial concentration of radionuclides employ various regression-based models, which usually provide a single-value prediction realization accompanied (in some cases) by estimation error. Such approaches do not provide the capability for rigorous uncertainty quantification or probabilistic mapping. Machine learning is a recent and fast-developing approach based on learning patterns and information from data. Artificial neural networks for prediction mapping have been especially powerful in combination with spatial statistics. A data-driven approach provides the opportunity to integrate additional relevant information about spatial phenomena into a prediction model for more accurate spatial estimates and associated uncertainty. Machine-learning algorithms can also be used for a wider spectrum of problems than before: classification, probability density estimation, and so forth. Stochastic simulations are used to model spatial variability and uncertainty. Unlike regression models, they provide multiple realizations of a particular spatial pattern that allow uncertainty and risk quantification. This paper reviews the most recent methods of spatial data analysis, prediction, and risk mapping, based on machine learning and stochastic simulations in comparison with more traditional regression models. The radioactive fallout from the Chernobyl Nuclear Power Plant accident is used to illustrate the application of the models for prediction and classification problems. This fallout is a unique case study that provides the challenging task of analyzing huge amounts of data ('hard' direct measurements, as well as supplementary information and expert estimates) and solving particular decision-oriented problems.

Iowa Strategy for Homeland Security and Emergency Management 2009-2014, August 31, 2009

Address sustainability in all efforts. Sustainability should be at the core of all levels of homeland security and emergency management effort in Iowa. Capabilities need to be built for the long term, and without a sustainability plan in place, projects can quickly deplete uncertain levels of funding. Utilize an all-hazards methodology. Developing capabilities that are effective during a variety of disaster and emergency scenarios represents sound planning and resource management. Enhance capabilities through joint planning, training and exercise. Effective capabilities developed through coordinated planning efforts and an ongoing joint training and exercising program to ensure sustainment of prepared response. Utilize a collaborative approach to build capability. We will utilize whatever partnerships are necessary to build capability in the most effective manner possible. Regional partnerships have been, and will continue to be, in the forefront of the State of Iowa’s efforts to build and enhance capability. Enhance statewide capabilities. Whenever possible, we will identify and augment existing resources to provide statewide capability during a disaster or terrorist attack. Awareness, outreach and education. Open communication is critical to the success of any initiative. All projects implemented will have awareness, education and outreach components to ensure that all stakeholders are informed as to their responsibilities, capabilities and access. Information sharing and a common operating picture. The timely exchange of critical/actionable information is imperative to the success of every operation. The identification of a common operating picture allows decision makers to make informed decisions based on a unified understanding of the events around them.