Among the micro-logistic transport systems, railway stations should be highlighted, such as one of the most important transport infrastructure elements. The efficiency of the transport industry as a whole depends on the quality of their operation. Such systems have a complex multi-level structure, and the incoming traffic flow often has a stochastic character. It is known that the most effective approach to study the operation of such systems is mathematical modeling. Earlier, we proposed an approach to transport hub modeling using multiphase queuing systems with a batch Markovian arrival process (BMAP) as an incoming flow. In this paper, we develop the method by applying more complex models based on queuing networks that allow us to describe in detail the route of requests within an object with a non-linear hierarchical structure. This allows us to increase the adequacy of modeling and explore a new class of objects—freight railway stations and marshalling yards. Here we present mathematical models of two railway stations, one of which is a freight railway station located in Russia, and the other is a marshalling yard in the USA. The models have the form of queuing networks with BMAP flow. They are implemented as simulation software, and a numerical experiment is carried out. Based on the numerical results, some “bottlenecks” in the structure of the studied stations are determined. Moreover, the risk of switching to an irregular mode of operation is assessed. The proposed method is suitable for describing a wide range of cargo and passenger transport systems, including river ports, seaports, airports, and multimodal transport hubs. It allows a primary analysis of the hub operation and does not need large statistical information for parametric identification.

Modern large-scale astroparticle setups measure high-energy particles, gamma rays, neutrinos, radio waves, and the recently discovered gravitational waves. Ongoing and future experiments are located worldwide. The data acquired have different formats, storage concepts, and publication policies. Such differences are a crucial point in the era of Big Data and of multi-messenger analysis in astroparticle physics. We propose an open science web platform called ASTROPARTICLE.ONLINE which enables us to publish, store, search, select, and analyze astroparticle data. In the first stage of the project, the following components of a full data life cycle concept are under development: describing, storing, and reusing astroparticle data; software to perform multi-messenger analysis using deep learning; and outreach for students, post-graduate students, and others who are interested in astroparticle physics. Here we describe the concepts of the web platform and the first obtained results, including the meta data structure for astroparticle data, data analysis by using convolution neural networks, description of the binary data, and the outreach platform for those interested in astroparticle physics. The KASCADE-Grande and TAIGA cosmic-ray experiments were chosen as pilot examples.

The article is dedicated to the justification and practical implementation of a nature protection-based methodological approach to define the boundaries of the Lake Baikal protection zone and form proposals related to the harmonization of instruments of environmentally responsible development of the territory, which has the status of a World Heritage site as it contains 20% of the world’s fresh water supply. An analysis of the contemporary conditions of Lake Baikal and its surrounding landscapes show environmental degradation of the area. The most important aspects in solving the existing problem may be the construction of a science-based definition of the Lake Baikal water protection zone and compliance with the universal global values related to the requirements of ecological threat prevention. The main landscape-hydrological design principles for the water protection zone are studied in this article. A method for the functional water protection zoning of urban territories is also given. This has been implemented in Baikalsk town, which is located on the Baikal shore and is considered to be one of the most environmentally damaged territories. Proposals include recommendations on the harmonization of the landscape-hydrological principles of territory assessment and methods for target landscape planning; the setting of various restrictions within the boundaries of existing industrial and settlement zones; the creation of an overall system of environmental health monitoring for Lake Baikal and its protection zones; and for ensuring interactions with the public.