Three-dimensional patient-specific dosimetry in radioimmunotherapy with 90Y-ibritumomab-tiuxetan.

Aim of the present article was to perform three-dimensional (3D) single photon emission tomography-based dosimetry in radioimmunotherapy (RIT) with (90)Y-ibritumomab-tiuxetan. A custom MATLAB-based code was used to elaborate 3D images and to compare average 3D doses to lesions and to organs at risk (OARs) with those obtained with planar (2D) dosimetry. Our 3D dosimetry procedure was validated through preliminary phantom studies using a body phantom consisting of a lung insert and six spheres with various sizes. In phantom study, the accuracy of dose determination of our imaging protocol decreased when the object volume decreased below 5 mL, approximately. The poorest results were obtained for the 2.58 mL and 1.30 mL spheres where the dose error evaluated on corrected images with regard to the theoretical dose value was -12.97% and -18.69%, respectively. Our 3D dosimetry protocol was subsequently applied on four patients before RIT with (90)Y-ibritumomab-tiuxetan for a total of 5 lesions and 4 OARs (2 livers, 2 spleens). In patient study, without the implementation of volume recovery technique, tumor absorbed doses calculated with the voxel-based approach were systematically lower than those calculated with the planar protocol, with average underestimation of -39% (range from -13.1% to -62.7%). After volume recovery, dose differences reduce significantly, with average deviation of -14.2% (range from -38.7.4% to +3.4%, 1 overestimation, 4 underestimations). Organ dosimetry in one case overestimated, in the other underestimated the dose delivered to liver and spleen. However, both for 2D and 3D approach, absorbed doses to organs per unit administered activity are comparable with most recent literature findings.

Iowa Budget Report, Building on our Progress: Protecting our Priorities, 2009

*********** Some files are large and will take time to load. *********** Seven Files: 1)Report Cover, 2)Table of Contents, 3)Statewide Financial Summaries, 4)Department Budgets, 5)Capitol Projects, 6)Associated Financial Documents, 7)Budget Report. To Members of the 82nd General Assembly, As we begin the second year of our Administration, we are pleased to submit the Fiscal Year 2009 budget for the State of Iowa pursuant to Iowa Code Section 8.21 and our constitutional authority. This budget recognizes the progress that we began last year with improvements in education, economic development, energy independence, and health care; provides funding for new policy initiatives in these areas; and is based on fiscally sound budget practices. Building on last year’s accomplishments, our Fiscal Year 2009 General Fund budget proposes an additional $75 million for increasing teachers’ salaries as part of our goal to move Iowa closer to the national average. We lay the foundation for student achievement by recommending $32.1 million for pre-school education, and we also propose $177.5 million in total for community colleges and $726.2 million in total for Regents universities. To make our State more energy independent, our General Fund budget appropriates the second-year funding of $25 million for the new Iowa Power Fund. The newly established Office of Energy Independence will soon start making awards from the Power Fund. Apart from the budget, we will be making several proposals to implement the new State energy plan. We have pledged to expand the number of Iowans who have health-care coverage. As a result, we are recommending additional funding for enrollment growth in the State Children Health Insurance Program (SCHIP). These additional funds will help the State provide coverage for another 25 percent of children who are eligible but not yet enrolled in hawk-i and the Iowa Medicaid Program. To protect the safety of Iowans, we are recommending issuance of revenue bonds for approximately $260 million in net proceeds to build a new state penitentiary in Ft. Madison, renovate and expand the Women’s Correctional Institution at Mitchellville, upgrade kitchen facilities at the Rockwell City and Mt. Pleasant Correctional Institutions, and expand Community-Based Correctional Facilities in Ottumwa, Sioux City, Waterloo, and Des Moines. Additionally, we are including funding for developing a prototype program for providing parolees and low-risk offenders with mental health and drug abuse treatment and educational services to help them make a crime-free re-entry into our communities. As part of this Capitals Budget, we also propose using $20 million for the State’s matching share for building new facilities at the Iowa Veterans Home. Iowa Budget Report iv Fiscal Year 2009 Importantly, our budget continues to fully fund our State’s Reserve Funds to help buffer Iowa from any future economic downturn. We recommend reimbursing $78.2 million to the Property Tax Credit Fund as part of our multi-year proposal to correct bad budgeting practices and eventually restore $160.0 million to this Fund. To provide more transparency, we are transferring operational expenditures in the Rebuild Iowa Infrastructure Fund to the General Fund and expenditures from the Endowment for Healthy Iowans and Healthy Iowans Tobacco Trust Funds to the General Fund. We believe that Iowa has charted a new course of becoming energy independent, providing quality pre-school education, recognizing the importance of our teachers, and providing greater health coverage for children. Our Fiscal Year 2009 budget and policy priorities reflect our continuing faith in Iowa’s ability to be the best state in the nation. We look forward to working with you in a bi-partisan and all-inclusive manner to build on our progress and protect our priorities. Sincerely, Chester J. Culver Governor Patty Judge Lt. Governor

Computation of multiple correspondence analysis, with code in R

The generalization of simple correspondence analysis, for two categorical variables, to multiple correspondence analysis where they may be three or more variables, is not straighforward, both from a mathematical and computational point of view. In this paper we detail the exact computational steps involved in performing a multiple correspondence analysis, including the special aspects of adjusting the principal inertias to correct the percentages of inertia, supplementary points and subset analysis. Furthermore, we give the algorithm for joint correspondence analysis where the cross-tabulations of all unique pairs of variables are analysed jointly. The code in the R language for every step of the computations is given, as well as the results of each computation.

On forward induction and evolutionary and strategic stability

We analyze which normal form solution concepts capture the notion offorward induction, as defined by van Damme (JET, 1989) in the classof generic two player normal form games preceded by an outsideoption. We find that none of the known strategic stability concepts(including Mertens stable sets and hyperstable sets) captures this form of forward induction. On the other hand, we show that the evolutionary concept of EES set (Swinkels, JET, 1992) is always consistent with forward induction.

Pitfalls in the modeling of forward-looking price setting and investment decisions

The present paper makes progress in explaining the role of capital for inflation and output dynamics. We followWoodford (2003, Ch. 5) in assuming Calvo pricing combined with a convex capital adjustment cost at the firm level. Our main result is that capital accumulation affects inflation dynamics primarily through its impact on the marginal cost. This mechanism is much simpler than the one implied by the analysis in Woodford's text. The reason is that his analysis suffers from a conceptual mistake, as we show. The latter obscures the economic mechanism through which capital affects inflation and output dynamics in the Calvo model, as discussed in Woodford (2004).