The paper addresses the problem of determining the domination number in two-level voting procedures, where the first stage involves voting within local groups of agents, and the second stage aggregates the results into a final decision. The main objective is to identify the minimum proportion of agents supporting a proposal required for its acceptance. The study applies the pairwise similarity method to analyze the structure of the problem and to design heuristic algorithms with guaranteed accuracy. Three specific cases are examined: the agent connection graph as a tree, a complete graph, and a regular graph with an odd number of vertices. For each case, the authors propose new heuristic algorithms and pairwise similarity functions that enable the estimation of solution error. The results extend the applicability of polynomial algorithms to a broader class of problems and offer criteria for selecting the optimal algorithm during postprocessing.

Venus is assumed to be a seismically active planet. For upcoming seismic experiments on Venus it is of importance to know the areas of large stresses. The surface of Venus has a wide range of volcanic and tectonic features, which could be sources of seismic activity. Part of volcanoes on Venus show spatial concentration in the Beta-Atla region.

We present a numerical investigation of the stress field within Mars, focusing on the influence of shorter-wavelength topographic and gravitational components while deliberately omitting the contribution of long-wavelength harmonics. Calculations were carried out on a global 1° × 1° grid, using expansions of Martian topography and gravity potential beginning at degree 7. The simulations indicate a spatial correlation between many recorded marsquake epicenters and regions characterized by extensional deformation and enhanced shear stress. These findings emphasize the importance of local stress variations that are not solely explained by the global impact of the Tharsis rise.

A man–machine teleoperation system for a continuum robot tailored to endovascular interventions and based on a leader–follower architecture is presented. The leader robotic catheter is manually shaped by the surgeon and equipped with distributed fiber-optic shape sensors. The follower catheter inserted into the patient’s vasculature is tracked exclusively by computer-vision algorithms and instrumented with force sensors. Inverse-kinematics algorithms reproduce the leader configuration on the follower, while a closed-loop sensory channel conveys contact forces to the operator as adjustable mechanical resistance, creating a tangible sense of presence. The system fulfils the core principles of collaborative robotics-intuitive manipulation, bidirectional feedback, adaptive motion constraints, and patient safety. Potential extensions include learning from demonstration and predictive control. The proposed system can serve as a foundation for next-generation robotic platforms enabling minimum invasive procedures under limited visual feedback.

An input-output model of the Russian Federation economy is proposed to assess the import dependency by industrial sectors. As a separate feature, the model includes foreign trade flows. The model is based on data from the Organization for Economic Co-operation and Development (OECD). Calculations of import substitution across different industries are presented. Assessment of structural shifts in Russia’s economy is provided for the period between 2014 and 2020.