Nikita S. Pyko

Recovery in gait and posture: a network-based approach to the assessment of rehabilitation effectiveness after spinal cord injury

T. V. Ageeva, Konstantin R. Grigarevichius, Aleksandr Sinitca, Davran Sabirov et autres

Spinal cord injury (SCI) disrupts locomotion by affecting multiple physiological domains, including spinal conduction, reflex excitability, gait kinematics, and behavioral performance. Because recovery may be reflected not only in individual readouts but also in the organization of relationships among these readouts, we …

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Non-contact identification of opportunistic pathogens in mixed biofilm contaminations by hyperspectral imaging

Mikhail I. Bogachev, Pavel S. Baranov, Aleksandr Sinitca, Anna V. Mironova et autres

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Evaluation of speech perception deficit compensation in patients with hearing loss

M. Yu. Boboshko, Е С Гарбарук, Ekaterina Zhilinskaya, Svetlana A. Pyko et autres

OBJECTIVE: To evaluate speech perception deficit compensation and predict potential hearing aids (HA) effectiveness in patients with hearing loss (HL). DESIGN: The patients underwent pure-tone audiometry and various speech tests in quiet (evaluating the peripheral auditory system and cognitive compensation) and in …

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Multi-object tracking for motion pattern analysis in biomedical research

Roman Matrosov, Mikhail I. Bogachev, Asya I. Lyanova, Aleksandr Sinitca et autres

Abstract. Motion structure analysis is a ubiquitous tool for the evaluation of the dynamical properties of various objects. Automation of image analysis allows not only speeding up the research, but also eliminating the subjective bias characteristic inevitable under manual data processing conditions. …

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Approximate waiting times for queuing systems with variable cross-correlated arrival rates

Mikhail I. Bogachev, Nikita S. Pyko, Nikita Tymchenko, Svetlana A. Pyko et autres

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Robust Methods for Assessing the Characteristics of Locomotor Activity Based on Markerless Video Capture Data

Mikhail I. Bogachev, Konstantin R. Grigarevichius, Nikita S. Pyko, Svetlana A. Pyko et autres

Introduction. Analysis of locomotor activity is essential in a number of biomedical and pharmacological research designs, as well as environmental monitoring. The movement trajectories of biological objects can be represented by time series exhibiting a complex multicomponent structure and non-stationary dynamics, thus …

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Detection and evaluation of anthropogenic impacts on natural forest ecosystems from long-term tree-ring observations

Mikhail I. Bogachev, Andrey A. Grigoriev, Nikita S. Pyko, Alexey N. Gulin et autres

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Statistical Analysis of Local Extrema in Rough Sea Surfaces Based on Computer Simulation

Nikita S. Pyko, Elena D. Orandarenko, Mikhail I. Bogachev

Introduction. Generalized extreme value (GEV) distributions represent a universal description of the limiting distribution of the normalized local maxima statistics for independent and identically distributed data series. Extreme value distributions are commonly classified into three different types representing different functional forms and …

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Non-parametric Bayesian Network for Surrogate Data

Nikita S. Pyko

In recent years, domain experts indicated increasing interest in Bayesian Networks (BN). BN can be represented by a directed acyclic graph, the nodes of which, corresponding to the random variables under study, are connected by edges representing direct relationship between the nodes. …

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Reversal in the drought stress response of the Scots pine forest ecosystem: Local soil water regime as a key to improving climate change resilience

Mikhail I. Bogachev, Artur Gafurov, Pavel Y. Iskandirov, Dmitrii Kaplun et autres

In a changing climate, forest ecosystems have become increasingly vulnerable to continuously exacerbating heat and associated drought conditions. Climate stress resilience is governed by a complex interplay of global, regional, and local factors, with hydrological conditions being among the key players. We …

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Nonparametric Bayesian Networks as a Tool of Multiscale Time Series Analysis and Remote Sensing Data Integration

Nikita S. Pyko, Denis V Tishin, Pavel Y. Iskandirov, Artur Gafurov et autres

Introduction. Nonparametric Bayesian networks are a promising tool for analyzing, visualizing, interpreting and predicting the structural and dynamic characteristics of complex systems. Modern interdisciplinary research involves the complex processing of heterogeneous data obtained using sensors of various physical nature. In the study …

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The impact of Grey Heron (Ardea cinerea L.) colony on soil biogeochemistry and vegetation: a natural long-term in situ experiment in a planted pine forest

Mikhail I. Bogachev, Denis V Tishin, Artur Gafurov, Булат Ирекович Гареев et autres

Increased anthropogenic pressure including intensification of agricultural activities leads to long-term decline of natural biotopes, with planted forests often considered as promising compensatory response, although reduced biodiversity and ecosystem stability represent their common drawbacks. Here we present a complex investigation of the …

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