Hänen Ylhäisyytensä Intian Pääministeri Indira Gandhi 11/8 1975

Kirje 11.8.1975

Alda, l'esclave bretonne / par miss Strickland ; traduit de l'anglais par Mme Louise de Montanclos

Collection : Bibliothèque des écoles chrétiennes

Rouva Alli Paasikivi 1/4 1958

Kirje

Metsänhoitaja Klaus Rantapuu 9/3 1965

Kirje 9.3.1965

Generaldirektör Mauno Koivisto 4.12.1973

Kirje

Kansanedustaja, tohtori Johannes Virolainen 19/10 1975

Kirje 19.10.1975

2007 Annual Report of the Iowa Railway Finance Authority

The Iowa Railway Finance Authority (IRFA) was created in 1980 by the 68th General Assembly to provide for the financing of rail facilities, and to enhance and continue the operation of essential rail facilities. IRFA was authorized to offer financial assistance for the acquisition, rehabilitation, construction, refinancing, extension, replacement, maintenance, repair or leasing of any rail facility. The 2005 legislative session amended Iowa Code 327H.20 by assigning all repayments of IRFA and other Iowa DOT rail assistance loans to the Rail Revolving Loan and Grant Fund. In 2006, a state appropriation of $235,000 was added to the program. In 2007, $2 million was appropriated to support rail development and job growth.

Report of Highway Research Board Research and Development Activities FY2007

The Highway Division of the Iowa Department of Transportation (Iowa DOT) engages in research and development for two reasons: first, to find workable solutions to the many problems that require more than ordinary, routine investigation; second, to identify and implement improved engineering and management practices. This report, entitled “Iowa Highway Research Board Research and Development Activities FY2007” is submitted in compliance with Sections 310.36 and 312.3A, Code of Iowa, which direct the submission of a report of the Secondary Road Research Fund and the Street Research Fund respectively. It is a report of the status of research and development projects, which were in progress on June 30, 2007; it is also a report on projects completed during the fiscal year beginning July 1, 2006, and ending June 30, 2007. Detailed information on each of the research and development projects mentioned in this report is available in the Research and Technology Bureau in the Highway Division of the Iowa Department of Transportation.

A pseudo-spectral method for the simulation of poro-elastic seismic wave propagation in 2D polar coordinates using domain decomposition

We present a novel numerical approach for the comprehensive, flexible, and accurate simulation of poro-elastic wave propagation in 2D polar coordinates. An important application of this method and its extensions will be the modeling of complex seismic wave phenomena in fluid-filled boreholes, which represents a major, and as of yet largely unresolved, computational problem in exploration geophysics. In view of this, we consider a numerical mesh, which can be arbitrarily heterogeneous, consisting of two or more concentric rings representing the fluid in the center and the surrounding porous medium. The spatial discretization is based on a Chebyshev expansion in the radial direction and a Fourier expansion in the azimuthal direction and a Runge-Kutta integration scheme for the time evolution. A domain decomposition method is used to match the fluid-solid boundary conditions based on the method of characteristics. This multi-domain approach allows for significant reductions of the number of grid points in the azimuthal direction for the inner grid domain and thus for corresponding increases of the time step and enhancements of computational efficiency. The viability and accuracy of the proposed method has been rigorously tested and verified through comparisons with analytical solutions as well as with the results obtained with a corresponding, previously published, and independently bench-marked solution for 2D Cartesian coordinates. Finally, the proposed numerical solution also satisfies the reciprocity theorem, which indicates that the inherent singularity associated with the origin of the polar coordinate system is adequately handled.

Physical considerations on discrepancies in target volume delineation.

BACKGROUND AND PURPOSE: To compare the delineations and interpretations of target volumes by physicians in different radio-oncology centers. MATERIALS AND METHODS: Eleven Swiss radio-oncology centers delineated volumes according to ICRU 50 recommendations for one prostate and one head and neck case. In order to evaluate the consistency of the volume delineations, the following parameters were determined: 1) the target volumes (GTV, CTV and manually expanded PTV) and their extensions in the three main axes and 2) the correlation of the volume delineated by each pair of centers using the ratio of the intersection to the union (called proximity index). RESULTS: The delineated prostate volume was 105+/-55cm(3) for the CTV and 218+/-44cm(3) for the PTV. The delineated head and neck volume was 46+/-15cm(3) for the GTV, 327+/-154cm(3) for the CTV and 528+/-106cm(3) for the PTV. The mean proximity index for the prostate case was 0.50+/-0.13 for the CTV and 0.57+/-0.11 for the PTV. The proximity index for the head and neck case was 0.45+/-0.09 for the GTV, 0.42+/-0.13 for the CTV and 0.59+/-0.06 for the PTV. CONCLUSIONS: Large discrepancies between all the delineated target volumes were observed. There was an inverse relationship between the CTV volume and the margin between CTV and PTV, leading to less discrepancies in the PTV than is the CTV delineations. There was more spread in the sagittal and frontal planes due to CT pixel anisotropy, which suggests that radiation oncologists should delineate the target volumes not only in the transverse plane, but also in the sagittal and frontal planes to improve the delineation by allowing a consistency check.

Country portfolios

Capital flows to developing countries are small and are mostly take the form of loans rather than direct foreign investment. We build a simple model of North-South capital flows that highlights the interplay between diminishing returns, production risk and sovereign risk. This model generates a set of country portfolios and a world distribution of capital stocks that resemble those in the data.