Perturbative Effects in the Form Factor \gamma\gamma^*\to \pi and Extraction of the Pion Wave Function from CLEO Data

We study the pion form factor F^{\pi \gamma\gamma^*}(Q^2) in the light-cone sum rule approach, accounting for radiative corrections and higher twist effects. Comparing the results to the CLEO experimental data on F^{\pi \gamma\gamma^*}(Q^2), we extract the the pion distribution amplitude of twist-2. The deviation of the distribution amplitude from the asymptotic one is small and is estimated to be a_2(\mu) = 0.12 \pm 0.03 at \mu=2.4 GeV, in the model with one non-asymptotic term. The ansatz with two non-asymptotic terms gives some region of a_2 and a_4, which is consistent with the asymptotic distribution amplitude, but does not agree with some old models.Comment: 21 pages, LaTeX, 7 eps figures; (v2): Phys. Rev. D versio

Комплексный анализ структуры вод и потенциальной продуктивности КомпАССП

Details are given of a computer program for an IBM/PC-386 in MS-DOS environment to estimate the degree of impact of hydrophysical, hydrodynamic and biochemical processes on variability of fields of chemical elements and estimate intensity of producing of primary organic matter within the required area. Software consists of three levels: dialogue support, information provision and executable modules. Arrangement of the model for a certain area is carried out with input of the corresponding coefficients from literature sources or obtained by calculations. As manager and re-arranger of the system a command file is used via which interaction of the executable modules with information block takes place: 1. formation of the initial data for the required NSM-degree squares; 2. calculation of 3-dimensional circulation; 3. calculation of autocorrelative functions of oceanological fields in required directions, typical spatial scale and coefficients of diffusion exchange; 4. calculation of balance components; 5. mapping of the components of currents' speed, balance components and specific primary production on the required standard horizons. The developed complex of the programmes may be successfully applied in various studies of the World Ocean, including prognostic ones and for training purposes.Оценка интенсивности первичного продуцирования органического вещества и выделение структурных особенностей акваторий, благоприятно влияющих на продуцирование и образование скоплений промысловых объектов, являются одной из основных задач обеспечения эффективного и рационального использования живых ресурсов Мирового океана. В качестве инструментария для исследования пространственно-временных особенностей протекания продукционных процессов и оценки степени благоприятности состояния акватории для формирования скоплений объектов промысла предлагается пакет программ «Комплексный анализ структуры вод и потенциальной продуктивности».Publishe

Results analysis of agricultural organizations subsidy

The article presents some issues of the methodology of the study of state support for agricultural production in the aspect of efficiency. The dynamic series of profitability for certain types of products sold by agricultural organizations with and without budget subsidies are used as source data. First, a preliminary analysis and pairwise comparison of the series using nonparametric methods is carried out. Further, in order to use complete information on all the data, the methods of reduction to three variables are applied. In order to compare different methods, the principal component method and autoencoding using a neural network were used. The transformed data was also compared with and without subsidies. Conclusions and practical recommendations on the results obtained, as well as directions for the development of scientific research, are formulated

Results analysis of agricultural organizations subsidy

The article presents some issues of the methodology of the study of state support for agricultural production in the aspect of efficiency. The dynamic series of profitability for certain types of products sold by agricultural organizations with and without budget subsidies are used as source data. First, a preliminary analysis and pairwise comparison of the series using nonparametric methods is carried out. Further, in order to use complete information on all the data, the methods of reduction to three variables are applied. In order to compare different methods, the principal component method and autoencoding using a neural network were used. The transformed data was also compared with and without subsidies. Conclusions and practical recommendations on the results obtained, as well as directions for the development of scientific research, are formulated.</jats:p