Geohydrology of Muscatine Island, Muscatine County, Iowa, 1977

The availability of large quantities of high-quality ground water from the Muscatine Island aquifer has had a tremendous impact upon urban, industrial and agricultural development of this part of Iowa. Although the nonpumping level of water has been lowered significantly near major pumping centers through time, proper management of this water resource can assure a continued supply of water for all competing users. This report provides basic information for long range management. Fold out maps are included.

Blue luminescence at room temperature in defective MgO films

Luminescence spectroscopy has been used to characterize MgO films prepared by rf-sputtering. A clear correlation is found between the appearance of an emission peak centered at approximately 460 nm and the detection of ferromagnetic ordering in the samples. We suggest that cationic vacancies are responsible for the blue-light emission by introducing p states into the electronic band-gap. In accordance with this, our results strongly indicate that cationic vacancies are at the heart of the appearance of long-range magnetic ordering in MgO films.

CIRAS News Annual Report 2000, January 3, 2001

CIRAS professionals, the equipment they use to do their jobs, and the latest in technical support equipment. With these investments, CIRAS continues to meet the needs of Iowa manufacturers, whether in doing routine problem solving, long-range planning, or transferring newer technologies. In all of its services, but most notably in product development projects, one of the strengths of CIRAS lies in bringing ISU students into the picture, both to help reach project goals and as real-job learning experiences for the students.

CIRAS News Annual Report 2001, January 3, 2001

CIRAS professionals, the equipment they use to do their jobs, and the latest in technical support equipment. With these investments, CIRAS continues to meet the needs of Iowa manufacturers, whether in doing routine problem solving, long-range planning, or transferring newer technologies. In all of its services, but most notably in product development projects, one of the strengths of CIRAS lies in bringing ISU students into the picture, both to help reach project goals and as real-job learning experiences for the students.

CIRAS News Annual Report 2002, January 3, 2001

CIRAS professionals, the equipment they use to do their jobs, and the latest in technical support equipment. With these investments, CIRAS continues to meet the needs of Iowa manufacturers, whether in doing routine problem solving, long-range planning, or transferring newer technologies. In all of its services, but most notably in product development projects, one of the strengths of CIRAS lies in bringing ISU students into the picture, both to help reach project goals and as real-job learning experiences for the students.

CIRAS News Annual Report 2003, January 5, 2004

CIRAS professionals, the equipment they use to do their jobs, and the latest in technical support equipment. With these investments, CIRAS continues to meet the needs of Iowa manufacturers, whether in doing routine problem solving, long-range planning, or transferring newer technologies. In all of its services, but most notably in product development projects, one of the strengths of CIRAS lies in bringing ISU students into the picture, both to help reach project goals and as real-job learning experiences for the students.

CIRAS News Annual Report 2004, November 29, 2004

CIRAS professionals, the equipment they use to do their jobs, and the latest in technical support equipment. With these investments, CIRAS continues to meet the needs of Iowa manufacturers, whether in doing routine problem solving, long-range planning, or transferring newer technologies. In all of its services, but most notably in product development projects, one of the strengths of CIRAS lies in bringing ISU students into the picture, both to help reach project goals and as real-job learning experiences for the students.

CIRAS News Annual Report 2005, October 21, 2005

CIRAS professionals, the equipment they use to do their jobs, and the latest in technical support equipment. With these investments, CIRAS continues to meet the needs of Iowa manufacturers, whether in doing routine problem solving, long-range planning, or transferring newer technologies. In all of its services, but most notably in product development projects, one of the strengths of CIRAS lies in bringing ISU students into the picture, both to help reach project goals and as real-job learning experiences for the students.

CIRAS News Annual Report 2006, September 4, 2007

CIRAS professionals, the equipment they use to do their jobs, and the latest in technical support equipment. With these investments, CIRAS continues to meet the needs of Iowa manufacturers, whether in doing routine problem solving, long-range planning, or transferring newer technologies. In all of its services, but most notably in product development projects, one of the strengths of CIRAS lies in bringing ISU students into the picture, both to help reach project goals and as real-job learning experiences for the students.

FY 2016 Iowa Criminal and Juvenile Justice Annual Plan Update, December 1, 2015

The following report will initially provide a brief review of the criminal and juvenile justice system’s long-range and five-year goals established by CJJP. The report will then provide an overview of current initiatives helping to achieve these goals. Some initiatives have associated information which can be found on the CJJP website and are identified within this report.

Iowa Roads and Streets Functional Classification Manual, 1975

This manual provides a set of procedural rules and regulations for use in functionally classifying all roads and streets in Iowa according to the character of service they are intended to provide. Functional classification is a requirement of the 1973 Code of Iowa (Chapter 306) as amended by Senate File 1062 enacted by the 2nd session of the 65th General Assembly of Iowa. Functional classification is defined as the grouping of roads and streets into systems according to the character of service they will be expected to provide, and the assignment of jurisdiction over each class to the governmental unit having primary interest in each type of service. Stated objectives of the legislation are: "Functional classification will serve the legislator by providing an equitable basis for determination of proper source of tax support and providing for the assignment of financial resources to the governmental unit having responsibility for each class of service. Functional classification promotes the ability of the administrator to effectively prepare and carry out long range programs which reflect the transportation needs of the public." All roads and streets in legal existence will be classified. Instructions are also included in this manual for a continuous reporting to the Highway Commission of changes in classification and/or jurisdiction resulting from new construction, corporation line changes, relocations, and deletions. This continuous updating of records is absolutely essential for modern day transportation planning as it is the only possible way to monitor the status of existing road systems, and consequently determine adequacy and needs with accuracy.

Review of Automated Vehicle Technology: Policy and Implementation Implications; Version 1.0; RB28-015, 2016

This report provides recommendations for the state of Iowa over the next five years in regards to automated vehicle policy development. These administrative, planning, legal, and community strategy recommendations for government agencies include: • Encouraging automation by preparing government agencies, infrastructure, leveraging procurement, and advocating for safety mandates • Adjusting long range planning processes by identifying and incorporating a wide range of new automation scenarios • Beginning to analyze and, as necessary, clarify existing law as it apples to automated driving • Auditing existing law • Enforcing existing laws • Ensuring vehicle owners and operators bear the true cost of driving • Embracing flexibility by giving agencies the statutory authority to achieve regulatory goals through different means, allowing them to make small-scale exemptions to statutory regimes and clarifying their enforcement discretion • Thinking locally and preparing publicly • Sharing the steps being taken to promote (as well as to anticipate and regulate) automated driving • Instituting public education about automated vehicle technologies.

A connectome-based comparison of diffusion MRI schemes.

Diffusion MRI has evolved towards an important clinical diagnostic and research tool. Though clinical routine is using mainly diffusion weighted and tensor imaging approaches, Q-ball imaging and diffusion spectrum imaging techniques have become more widely available. They are frequently used in research-oriented investigations in particular those aiming at measuring brain network connectivity. In this work, we aim at assessing the dependency of connectivity measurements on various diffusion encoding schemes in combination with appropriate data modeling. We process and compare the structural connection matrices computed from several diffusion encoding schemes, including diffusion tensor imaging, q-ball imaging and high angular resolution schemes, such as diffusion spectrum imaging with a publically available processing pipeline for data reconstruction, tracking and visualization of diffusion MR imaging. The results indicate that the high angular resolution schemes maximize the number of obtained connections when applying identical processing strategies to the different diffusion schemes. Compared to the conventional diffusion tensor imaging, the added connectivity is mainly found for pathways in the 50-100mm range, corresponding to neighboring association fibers and long-range associative, striatal and commissural fiber pathways. The analysis of the major associative fiber tracts of the brain reveals striking differences between the applied diffusion schemes. More complex data modeling techniques (beyond tensor model) are recommended 1) if the tracts of interest run through large fiber crossings such as the centrum semi-ovale, or 2) if non-dominant fiber populations, e.g. the neighboring association fibers are the subject of investigation. An important finding of the study is that since the ground truth sensitivity and specificity is not known, the comparability between results arising from different strategies in data reconstruction and/or tracking becomes implausible to understand.

Environmental data mining and modeling based on machine learning algorithms and geostatistics

The paper presents some contemporary approaches to spatial environmental data analysis. The main topics are concentrated on the decision-oriented problems of environmental spatial data mining and modeling: valorization and representativity of data with the help of exploratory data analysis, spatial predictions, probabilistic and risk mapping, development and application of conditional stochastic simulation models. The innovative part of the paper presents integrated/hybrid model-machine learning (ML) residuals sequential simulations-MLRSS. The models are based on multilayer perceptron and support vector regression ML algorithms used for modeling long-range spatial trends and sequential simulations of the residuals. NIL algorithms deliver non-linear solution for the spatial non-stationary problems, which are difficult for geostatistical approach. Geostatistical tools (variography) are used to characterize performance of ML algorithms, by analyzing quality and quantity of the spatially structured information extracted from data with ML algorithms. Sequential simulations provide efficient assessment of uncertainty and spatial variability. Case study from the Chernobyl fallouts illustrates the performance of the proposed model. It is shown that probability mapping, provided by the combination of ML data driven and geostatistical model based approaches, can be efficiently used in decision-making process. (C) 2003 Elsevier Ltd. All rights reserved.

Mutational screening of splicing factor genes in cases with autosomal dominant retinitis pigmentosa.

PURPOSE: Mutations in genes encoding proteins from the tri-snRNP complex of the spliceosome account for more than 12% of cases of autosomal dominant retinitis pigmentosa (adRP). Although the exact mechanism by which splicing factor defects trigger photoreceptor death is not completely clear, their role in retinitis pigmentosa has been demonstrated by several genetic and functional studies. To test for possible novel associations between splicing factors and adRP, we screened four tri-snRNP splicing factor genes (EFTUD2, PRPF4, NHP2L1, and AAR2) as candidate disease genes. METHODS: We screened up to 303 patients with adRP from Europe and North America who did not carry known RP mutations. Exon-PCR and Sanger methods were used to sequence the NHP2L1 and AAR2 genes, while the sequences of EFTUD2 and PRPF4 were obtained by using long-range PCRs spanning coding and non-coding regions followed by next-generation sequencing. RESULTS: We detected novel missense changes in individual patients in the sequence of the genes PRPF4 and EFTUD2, but the role of these changes in relationship to disease could not be verified. In one other patient we identified a novel nucleotide substitution in the 5' untranslated region (UTR) of NHP2L1, which did not segregate with the disease in the family. CONCLUSIONS: The absence of clearly pathogenic mutations in the candidate genes screened in our cohort suggests that EFTUD2, PRPF4, NHP2L1, and AAR2 are either not involved in adRP or are associated with the disease in rare instances, at least as observed in this study in patients of European and North American origin.