Publications by authors named "V G Kharchenko"

Article Synopsis
  • The study analyzed changes in strongylid worm communities in domestic horses over two decades of consistent anthelmintic (deworming) treatments, comparing data from 2004 to 2023.
  • It involved 39 horses from two farms in Ukraine and found a significant reduction in the number of strongylid species, moving from 21 species in 2004 to only 13 in 2023, with only small strongylids present.
  • The findings indicated decreased species richness and diversity, and the dominance of the species C. nassatus, highlighting a shift in the strongylid community structure due to the treatments.
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Artificial intelligence technologies are becoming increasingly prevalent in resource-constrained, safety-critical embedded systems. Numerous methods exist to enhance the resilience of AI systems against disruptive influences. However, when resources are limited, ensuring cost-effective resilience becomes crucial.

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The analysis of utilising unmanned aerial vehicles (UAVs) to form flying networks in obstacle conditions and various algorithms for obstacle avoidance is conducted. A planning scheme for deploying a flying LiFi network based on UAVs in a production facility with obstacles is developed and described. Such networks are necessary to ensure reliable data transmission from sensors or other sources of information located in dangerous or hard-to-reach places to the crisis centre.

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The dynamics of the backbone and side-chains of protein are routinely studied by interpreting experimentally determined N spin relaxation rates. R(N), the longitudinal relaxation rate, reports on fast motions and encodes, together with the transverse relaxation R, structural information about the shape of the molecule and the orientation of the amide bond vectors in the internal diffusion frame. Determining error-free N longitudinal relaxation rates remains a challenge for small, disordered, and medium-sized proteins.

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Objective: Aim: To investigate the dynamics of law enforcement officers' physical and mental health components while performing their duties during the war in Ukraine.

Patients And Methods: Materials and Methods: The research, which was conducted in 2022-2024, involved 114 law enforcement officers (male) from the Kharkiv oblast (Ukraine) of different ages: under 30 (n = 35), under 40 (n = 41), over 40 (n = 38). To test law enforcement officers' physical and mental health indicators, we used 3 methods: 1) "Fatigue-Monotony-Oversaturation-Stress"; 2) "Well-being-Activity-Mood"; 3) "Assessment of Nervous and Emotional Stress".

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