Electro-Magnetic Waves within a Model for Charged Solitons

We analyze the model of topological fermions (MTF), where charged fermions are treated as soliton solutions of the field equations. In the region far from the sources we find plane waves solutions with the properties of electro-magnetic waves.Comment: 4 pages, 2 figure

Modeling the connectome of a simple spinal cord.

In this paper we develop a computational model of the anatomy of a spinal cord. We address a long-standing ambition of neuroscience to understand the structure-function problem by modeling the complete spinal cord connectome map in the 2-day old hatchling Xenopus tadpole. Our approach to modeling neuronal connectivity is based on developmental processes of axon growth. A simple mathematical model of axon growth allows us to reconstruct a biologically realistic connectome of the tadpole spinal cord based on neurobiological data. In our model we distribute neuron cell bodies and dendrites on both sides of the body based on experimental measurements. If growing axons cross the dendrite of another neuron, they make a synaptic contact with a defined probability. The total neuronal network contains ∼1,500 neurons of six cell-types with a total of ∼120,000 connections. The anatomical model contains random components so each repetition of the connectome reconstruction procedure generates a different neuronal network, though all share consistent features such as distributions of cell bodies, dendrites, and axon lengths. Our study reveals a complex structure for the connectome with many interesting specific features including contrasting distributions of connection length distributions. The connectome also shows some similarities to connectivity graphs for other animals such as the global neuronal network of C. elegans. In addition to the interesting intrinsic properties of the connectome, we expect the ability to grow and analyze a biologically realistic spinal cord connectome will provide valuable insights into the properties of the real neuronal networks underlying simple behavior

The role of developing management decisions process and structuring investment projects analysis in ensuring the sustainability of various types of companies

During the restart of the investment cycle in the new economic reality, the Government of the Russian Federation has adopted and is preparing to implement a number of measures designed to simplify the implementation of investment projects and thereby create prerequisites for maintaining interest in investing in the real sector of the economy. Thanks to the current model of financial support for investment projects in Russia, a diverse and necessary toolkit is available to the investor when choosing ways to make investments in order to make management decisions on the implementation of projects aimed at ensuring the sustainability of companies of various types. Naturally, within the framework of preparing management decisions for the implementation of investment projects, the question arises of rationally determining the parameters of financial support for an investment project, taking into account all aspects of its implementation, from the choice of sources of financing to the procedure for returning capital raised, as well as structuring projects when assessing their compliance with ESG (Environmental, Social, Governance) criteria. The purpose of this work is to study the importance of structuring an investment project in ensuring the sustainability of companies, to study all aspects of project implementation as part of the management decision-making process, which directly affects the possibility of its implementation. The methodological and theoretical basis of the article is general scientific and particular scientific approaches devoted to the issues of structuring projects in the framework of preparing investment decisions. In addition, CyberLeninka, eLibrary.Ru, Scopus, Web of Science, and Google Scholar were used as academic databases. To ensure the accuracy of the literature review process, all publications were independently reviewed by the authors. An analysis of the procedure for preparing and making investment decisions, structuring projects was made. The authors’ logic of interpreting the goal of structuring in making managerial decisions on project financing is proposed

Situational model of financial support for construction in the framework of project implementation in the Russian Federation

The increasing volume of construction financing, dictated by the national development goals of the Russian Federation, determines the increased role of rational choice of methods, mechanisms and tools of financial support for construction in order to make managerial decisions on the implementation of projects aimed at achieving the targets within the declared national development benchmarks of the Russian Federation. The aim of the study is to summarise and simplify the current methods, mechanisms and tools of financial support for construction within the framework of project implementation. A review of the current model of financial support for construction in the Russian Federation has been carried out. The main aspects of how to finance construction have been considered. A brief description of the main conditions of the envisaged mechanisms and instruments of financial support for construction has been provided. The analysis confirms the positive trend of the current construction financing model in the project implementation, creating conditions to stimulate the economy by reallocating funds to the real sector and providing a variety of tools in choosing construction financing methods to make rational management decisions on project implementation. The results of this study can be used by public authorities involved in the allocation and use of funds, financial institutions and other stakeholders to prepare management decisions on construction financing in project implementation

Experimental studies of thorium ions implantation from pulse laser plasma into thin silicon oxide layers

We report the results of experimental studies related to implantation of thorium ions into thin silicon dioxide by pulsed plasma fluxes expansion. Thorium ions were generated by laser ablation from a metal target, and the ionic component of the laser plasma was accelerated in an electric field created by the potential difference (5, 10 and 15 kV) between the ablated target and SiO2/Si(001) sample. Laser ablation system installed inside the vacuum chamber of the electron spectrometer was equipped with YAG:Nd3+ laser having the pulse energy of 100 mJ and time duration of 15 ns in the Q-switched regime. Depth profile of thorium atoms implanted into the 10 nm thick subsurface areas together with their chemical state as well as the band gap of the modified silicon oxide at different conditions of implantation processes were studied by means of X-ray photoelectron spectroscopy (XPS) and Reflected Electron Energy Loss Spectroscopy (REELS) methods. Analysis of chemical composition showed that the modified silicon oxide film contains complex thorium silicates. Depending on local concentration of thorium atoms, the experimentally established band gaps were located in the range of 6.0 - 9.0 eV. Theoretical studies of optical properties of the SiO2 and ThO2 crystalline systems have been performed by ab initio calculations within hybrid functional. Optical properties of the SiO2/ThO2 composite were interpreted on the basis of Bruggeman effective medium approximation. A quantitative assessment of the yield of isomeric nuclei in "hot" laser plasma at the early stages of expansion has been performed. The estimates made with experimental results demonstrated that the laser implantation of thorium ions into the SiO2 matrix can be useful for further research of low-lying isomeric transitions in 229Th isotope with energy of 7.8(0.5) eV

Temporal decorrelation of collective oscillations in neural networks with local inhibition and long-range excitation

We consider two neuronal networks coupled by long-range excitatory interactions. Oscillations in the gamma frequency band are generated within each network by local inhibition. When long-range excitation is weak, these oscillations phase-lock with a phase-shift dependent on the strength of local inhibition. Increasing the strength of long-range excitation induces a transition to chaos via period-doubling or quasi-periodic scenarios. In the chaotic regime oscillatory activity undergoes fast temporal decorrelation. The generality of these dynamical properties is assessed in firing-rate models as well as in large networks of conductance-based neurons.Comment: 4 pages, 5 figures. accepted for publication in Physical Review Letter