1. Russian thought is a collective and symbolic concept. The intellect of any people on the planet Earth is great in its own way; nor can its contribution to the common planetary home of mankind be assessed on the basis of the generally accepted events of history. First, because these events in the history of mankind are overestimated; second, because many of them are still beyond the bounds of knowledge and understanding. The true mechanisms of the evolution of mankind are (...) still awaiting their Columbuses. The histories of the utilization of nature by social organisms, economics, natural science, culture, and religions are becoming increasingly disassociated; mankind, as the only cosmoplanetary system, remains in the world of hypotheses; pragmatic aspirations supplant strategies of development and survival. The established priority of scientific and technical thought rejects empirical and a priori indicators. The experience of mankind's survival is condescendingly received or arrogantly ignored if it does not accord with the contemporary paradigms of science. This total, hidden scientific-cognitive actualism as regards how we see the world was established as the highest level for the evaluation of national cultures in history and in modern times. The formula of civilized countries —"STP + Nature + Man"—is accepted as an ideal model for the world of the planet. Thus, for most Asian, African, and South American cultures, the contemporary civilizations of the developed countries are becoming a kind of sole ideal, the paths along which all the nations of the globe should move. The measure of this evaluation is the measure of STP, that is, of modern established science. (shrink)

t. 1. Filosofii︠a︡ ; Izbrannye predislovii︠a︡ ; I︠A︡zykoznanie -- t. 2. Filologii︠a︡ ; Vospominanii︠a︡ i nabli︠u︡denii︠a︡ ; Pami︠a︡ti uchiteleĭ i kolleg ; Prilozhenie : A.N. Kolmogorov, semioticheskie poslanii︠a︡.

Издание предназначено для студентов и преподавателей гуманитарных образовательных учреждений, специалистов и практиков в различных областях науки.

Книга предназначена для студентов, преподавателей и научных сотрудников высших учебных заведений, занимающихся вопросами философии.

This article proposes using structural description for graphical objects to solve an urgent task of trajectory analysis. A range of modern trajectory analysis approaches were analyzed and the best that is based on Graph Convolutional Neural Networks and Suffix Tree Clustering algorithm was chosen. Descripted ways to reduce computational sources for this neural network approach. This neural network was adapted to analyze structural description and advantages of this approach are shown.

Following up on a 1989 paper on the subject, this essay revisits the question of ethical expertise in the court room. Informed by recent developments in the use of ethics experts, the authors argue 1) that the adversarial nature of court proceedings challenges the integrity of the ethicist's pedagogical role; 2) that the use of ethics experts as normative authorities remains dubious; 3) that clarification of the State's interest in “protecting the ethical integrity of the medical profession” is urgently required; (...) and 4) that the expertise of the ethicist may be more appropriately used in advising the legislature than in influencing the court. (shrink)

Algorithmic software for mathematical modeling of structural stability is considered, which is reduced to solving a partial generalized eigenvalues problem of sparse matrices, with automatic parallelization of calculations on modern parallel computers with graphics processors. Peculiarities of realization of parallel algorithms for different structures of sparse matrices are presented. The times of solving the problem of stability of composite materialsusing a three-dimensional model of "finite size fibers" on computers of different architectures are given. In mathematical modeling of physical and technical (...) processes in many cases there is a need to solve problems of algebraic problem of eigenvalues with sparse matrices of large volumes. In particular, such problems arise in the analysis of the strength of structures in civil and industrial construction, aircraft construction, electric welding, etc. The solving to these problems is to determine the eigenvalues and eigenvectors of sparse matrices of different structure. The efficiency of solving these problems largely depends on the effectiveness of mathematical modeling of the problem as a whole. Continuous growth of task parameters, calculation of more complete models of objects and processes on computers require an increase in computer productivity. High-performance computing requirements are far ahead of traditional parallel computing, even with multicore processors. High-performance computing requirements are far ahead of traditional parallel computing, even with multicore processors. Today, this problem is solved by using powerful supercomputers of hybrid architecture, such as computers with multicore processors and graphics processors, which combine MIMD and SIMD architectures. But the potential of high-performance computers can be used to the fullest only with algorithmic software that takes into account both the properties of the task and the features of the hybrid architecture. Complicating the architecture of modern high-performance supercomputers of hybrid architecture, which are actively used for mathematical modeling means a significant complication of efficient use of these resources in creating parallel algorithms and programs. here are problems with the creation of algorithmic software with automatic execution of stages of work, which are associated with the efficient use of computing resources, ways to store and process sparse matrices, analysis of the reliability of computer results. This makes it possible to significantly increase the efficiency of mathematical modeling of practical problems on modern high-performance computers, as well as free users from the problems of parallelization of complex problems. he developed algorithmic software automatically implements all stages of parallel computing and processing of sparse matrices on a hybrid computer. It was used at the Institute of Mechanics named after S.P. Tymoshenko NAS of Ukraine in modeling the strength problems of composite material. A significant improvement in the time characteristics of mathematical modeling was obtained. Problems of mathematical modeling of the properties of composite materials has an important role in designing the processes of deformation and destruction of products in various subject areas. Algorithmic software for mathematical modeling of structural stability is considered, which is reduced to solving a partial generalized problem of eigen values of sparse matrices of different structure of large orders, with automatic parallelization of calculations on modern parallel computers with graphics processors. The main methodological principles and features of implementation of parallel algorithms for different structures of sparse matrices are presented, which ensure effective implementation of multilevel parallelism of a hybrid system and reduce data exchange time during the computational process. As an example of these approaches, a hybrid algorithm of the iteration method in subspace for tape and block-diagonal matrices with a frame for computers of hybrid architecture is given. Peculiarities of data decomposition for matrices of profile structure at realization of parallel algorithms are considered. The proposed approach provides automatic determination of the required topology of the hybrid computer and the optimal amount of resources for the organization of an efficient computational process. The results of testing the developed algorithmic software for problems from the collection of the University of Florida, as well as the times of solving the problem of stability of composite materials using a three-dimensional model of "finite size fibers" on computers of different architectures. The results show a significant improvement in the time characteristics of solving problems. (shrink)