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Background. Nowadays in Ukraine, there are about 3 thousand cochlear implant users, and their number is constantly increasing. The internal part of the implant remains in the cochlea throughout the patient’s life, but current data on the state of the electrodes in the long-term period are contradictory. The purpose was to study the impedance dynamics of cochlear implant electrodes during 5 years after surgery in children. Materials and methods. A retrospective study of 58 children with deafness after cochlear implantation was conducted. The changes in the interelectrode impedance and the relationship between them in the different parts of the electrode were evaluated and analyzed 1, 2, 3, and 5 years after the start of electrical stimulation. Results. At 1 year after the connection of the speech processor, an increase in the impedance was recorded in the basal part of the electrode (9–12 channels) relative to the medial and apical part of the cochlea. Over the next year, according to the electric field telemetry data, a significant (p < 0.05) downward trend was noted in the resistance in the basal part of the implant (9–12 electrodes). Within 2–5 years, a gradual decrease in the impedance in the medial and apical parts of the electrode occurred without statistically significant differences. In 29.3 % of cases, there was a tendency to a gradual increase in the impedance on 11–12 electrodes within 3–5 years after surgery. In another 8 patients (13.8 %), a critical increase in the impedance (> 15 kilohm) was detected on one of the contacts in the basal part of the electrode, which required their disconnection or correcting the settings of the speech processor. Conclusions. Regular monitoring of electrode impedance and electrical stimulation levels is recommended, especially during the first 2 years of implant use. This is necessary to improve the performance of the implant, to determine the most comfortable levels and thresholds of volume more accurately, which will improve the sound perception in children after cochlear implantation.

We report a case of successful surgical treatment of a patient with locally advanced cutaneous squamous cell cancer (cSCC) originating from a burn scar. The burn scar cSCC tends to be more aggressive in nature than conventional skin SCC. treatment of patients with cSCC arising from a burn scar is complicated by the fact that the extensive defects formed after tumor removal are almost impossible to close with local tissues. Purpose: to demonstrate the feasibility of performing surgery for locally advanced cSCC using a thoracodorsal flap. Clinical case description. A 70-year old man presented with cSCC of the right shoulder. The patient had experienced a severe burn covering 70 % of his body surface area at a young age. To repair a large skin defect after tumor resection in the right shoulder, a thoracodorsal artery perforator flap was used. there were no complications in the postoperative period. At a follow-up of 7 months, no evidence of tumor recurrence was observed. Conclusion. The thoracodorsal artery perforator flap has contributed to the efficient reconstruction of extensive soft tissue defects in patients with locally advanced cSCC originating from a burn scar.

Dihaploid lines, or lines obtained on the basis of doubled haploids, are a valuable material for the creation of high-heterosis corn hybrids. The most eff ective method of evaluating the starting material when selecting parental couples for obtaining hybrids is diallell analysis. The article presents the results of the analysis of indicators of 6 dihaploid corn lines and 30 simple corn hybrids of the dialle scheme. The combinative ability of lines along the stem length, the cob attachment height, and the panicle length was studied. The eff ects of the GCA and SCA dispersion, as well as the components of genetic dispersion for the above characteristics were revealed. Lines with high GCA and SCA rates were identifi ed. The variation of the indicators of combinative ability during the years of the study indicates that the degree of strength of the eff ects of GCA and the dispersion of SCA morphometric parameters in certain lines varies to some extent under the infl uence of growing conditions. The analysis of the components of genetic dispersion showed that, depending on the growing conditions, the formation of stem length was infl uenced by 1 to 3, cob height by 1 to 3, and panicle length by 1 to 2 genes or groups of genes. A pattern has been revealed: in more favorable conditions in 2021 and 2023, the number of genes that control the manifestation of the stem length and the panicle length traits increases. A signifi cant impact of dominance components (H1 , H2 ) has been established. Dominance in stem length, ear height and panicle length is directed towards the parental forms with greater expression of the trait.

Acute respiratory viral infections (ARVI) still remain one of the most pressing human diseases due to the extremely high incidence rate. Among all the pathogens of ARVI, rhinoviruses and influenza viruses are of leading importance. This publication once again draws the reader’s attention to the basic principles of managing a patient with ARVI and influenza, and the “red line” defines the main goal – “how to avoid mistakes?”.

Abstract This paper explores scenarios for powering rural areas in Gaita Selassie with renewable energy plants, aiming to reduce system costs by optimizing component numbers to meet energy demands. Various scenarios, such as combining solar photovoltaic (PV) with pumped hydro-energy storage (PHES), utilizing wind energy with PHES, and integrating a hybrid system of PV, wind, and PHES, have been evaluated based on diverse criteria, encompassing financial aspects and reliability. To achieve the results, meta-heuristics such as the Multiobjective Gray wolf optimization algorithm (MOGWO) and Multiobjective Grasshopper optimization algorithm (MOGOA) were applied using MATLAB software. Moreover, optimal component sizing has been investigated utilizing real-time assessment data and meteorological data from Gaita Sillasie, Ethiopia. Metaheuristic optimization techniques were employed to pinpoint the most favorable loss of power supply probability (LPSP) with the least cost of energy (COE) and total life cycle cost (TLCC) for the hybrid system, all while meeting operational requirements in various scenarios. The Multi-Objective Grey Wolf Optimization (MOGWO) technique outperformed the Multi-Objective Grasshopper Optimization Algorithm (MOGOA) in optimizing the problem, as suggested by the results. Furthermore, based on MOGWO findings, the hybrid solar PV-Wind-PHES system demonstrated the lowest COE (0.126€/kWh) and TLCC (€6,897,300), along with optimal satisfaction of the village's energy demand and LPSP value. In the PV-Wind-PHSS scenario, the TLCC and COE are 38%, 18%, 2%, and 1.5% lower than those for the Wind-PHS and PV-PHSS scenarios at LPSP 0%, according to MOGWO results. Overall, this research contributes valuable insights into the design and implementation of sustainable energy solutions for remote communities, paving the way for enhanced energy access and environmental sustainability.

Magnetic reconnection is a crucially important process for energy conversion in plasma physics, with the substorm cycle of Earth's magnetosphere and solar flares being prime examples. While 2D models have been widely applied to study reconnection, investigating reconnection in 3D is still, in many aspects, an open problem. Finding sites of magnetic reconnection in a 3D setting is not a trivial task, with several approaches, from topological skeletons to Lorentz transformations, having been proposed to tackle the issue. This work presents a complementary method for quasi-2D structures in 3D settings by noting that the magnetic field structures near reconnection lines exhibit 2D features that can be identified in a suitably chosen local coordinate system. We present applications of this method to a hybrid-Vlasov Vlasiator simulation of Earth's magnetosphere, showing the complex magnetic topologies created by reconnection for simulations dominated by quasi-2D reconnection. We also quantify the dimensionalities of magnetic field structures in the simulation to justify the use of such coordinate systems.

Abstract Magnetic resonance (MR) acquisitions of the torso are frequently affected by respiratory motion with detrimental effects on signal quality. The motion of organs inside the body is typically decoupled from surface motion and is best captured using rapid MR imaging (MRI). We propose a pipeline for prospective motion correction of the target organ using MR image navigators providing absolute motion estimates in millimeters. Our method is designed to feature multi-nuclear interleaving for non-proton MR acquisitions and to tolerate local transmit coils with inhomogeneous field and sensitivity distributions. OpenCV object tracking was introduced for rapid estimation of in-plane displacements in 2D MR images. A full three-dimensional translation vector was derived by combining displacements from slices of multiple and arbitrary orientations. The pipeline was implemented on 3 T and 7 T MR scanners and tested in phantoms and volunteers. Fast motion handling was achieved with low-resolution 2D MR image navigators and direct implementation of OpenCV into the MR scanner’s reconstruction pipeline. Motion-phantom measurements demonstrate high tracking precision and accuracy with minor processing latency. The feasibility of the pipeline for reliable in-vivo motion extraction was shown on heart and kidney data. Organ motion was manually assessed by independent operators to quantify tracking performance. Object tracking performed convincingly on 7774 navigator images from phantom scans and different organs in volunteers. In particular the kernelized correlation filter (KCF) achieved similar accuracy (74%) as scored from inter-operator comparison (82%) while processing at a rate of over 100 frames per second. We conclude that fast 2D MR navigator images and computer vision object tracking can be used for accurate and rapid prospective motion correction. This and the modular structure of the pipeline allows for the proposed method to be used in imaging of moving organs and in challenging applications like cardiac magnetic resonance spectroscopy (MRS) or magnetic resonance imaging (MRI) guided radiotherapy.

Abstract Economic development relies on access to electrical energy, which is crucial for society’s growth. However, power shortages are challenging due to non-renewable energy depletion, unregulated use, and a lack of new energy sources. Ethiopia’s Debre Markos distribution network experiences over 800 h of power outages annually, causing financial losses and resource waste on diesel generators (DGs) for backup use. To tackle these concerns, the present study suggests a hybrid power generation system, which combines solar and biogas resources, and integrates Superconducting Magnetic Energy Storage (SMES) and Pumped Hydro Energy Storage (PHES) technologies into the system. The study also thoroughly analyzes the current and anticipated demand connected to the distribution network using a backward/forward sweep load flow analysis method. The results indicate that the total power loss has reached its absolute maximum, and the voltage profiles of the networks have dropped below the minimal numerical values recommended by the Institute of Electrical and Electronics Engineers (IEEE) standards (i.e., 0.95–1.025 p.u.). After reviewing the current distribution network’s operation, additional steps were taken to improve its effectiveness, using metaheuristic optimization techniques to account for various objective functions and constraints. In the results section, it is demonstrated that the whale optimization algorithm (WOA) outperforms other metaheuristic optimization techniques across three important objective functions: financial, reliability, and greenhouse gas (GHG) emissions. This comparison is based on the capability of the natural selection whale optimization algorithm (NSWOA) to achieve the best possible values for four significant metrics: Cost of Energy (COE), Net Present Cost (NPC), Loss of Power Supply Probability (LPSP), and GHG Emissions. The NSWOA achieved optimal values for these metrics, namely 0.0812 €/kWh, 3.0017 × 106 €, 0.00875, and 7.3679 × 106 kg reduced, respectively. This is attributable to their thorough economic, reliability, and environmental evaluation. Finally, the forward/backward sweep load flow analysis employed during the proposed system’s integration significantly reduced the impact of new energy resources on the distribution network. This was evident in the reduction of total power losses from 470.78 to 18.54 kW and voltage deviation from 6.95 to 0.35 p.u., as well as the voltage profile of the distribution system being swung between 1 and 1.0234 p.u., which now comply with the standards set by the IEEE. Besides, a comparison of the cost and GHG emission efficiency of the proposed hybrid system with existing (grid + DGs) and alternative (only DGs) scenarios was done. The findings showed that, among the scenarios examined, the proposed system is the most economical and produces the least amount of GHG emissions.

Abstract Application of optical coherence tomography (OCT) in neurosurgery mostly includes the discrimination between intact and malignant tissues aimed at the detection of brain tumor margins. For particular tissue types, the existing approaches demonstrate low performance, which stimulates the further research for their improvement. The analysis of speckle patterns of brain OCT images is proposed to be taken into account for the discrimination between human brain glioma tissue and intact cortex and white matter. The speckle properties provide additional information of tissue structure, which could help to increase the efficiency of tissue differentiation. The wavelet analysis of OCT speckle patterns was applied to extract the power of local brightness fluctuations in speckle and its standard deviation. The speckle properties are analysed together with attenuation ones using a set of ex vivo brain tissue samples, including glioma of different grades. Various combinations of these features are considered to perform linear discriminant analysis for tissue differentiation. The results reveal that it is reasonable to include the local brightness fluctuations at first two wavelet decomposition levels in the analysis of OCT brain images aimed at neurosurgical diagnosis.

Introduction. Building a robust healthcare system aimed at improving overall population health and a reliable electronic health system requires a corresponding level of proficiency in digital competences (DC) among future healthcare professionals. The relevance of this research lies in the understanding that the effective execution of medical and managerial responsibilities is impossible without an adequate level of DC, and mastering them must occur during the education of future healthcare professionals. The aim. To investigate the levels of proficiency in DC and the understanding of their importance among students enrolled in institutions of higher medical education (IHME) for the development of leadership and management potential during the educational process of future healthcare professionals. Materials and methods. A cross-sectional study was conducted among 265 students (1st-6th years) at Dnipro State Medical University. Bibliosemantic and sociological methods were used. Students were grouped by academic year: junior (1-2), middle (3-4), and senior (5-6). Results were analyzed using widely accepted statistical approaches and the integrated development environment Jupyter Notebook (https://jupyter.org/install). A significance level of p0.05). Proficiency in general DC was significantly higher compared to special medical and cybersecurity DC, both within each group and for all respondents. More than 80% of respondents stated that mastering DC is important for performing managerial functions, with no differences between groups (p>0.05). Conclusions. Present-day healthcare professionals require a proper level of proficiency in DC. The study demonstrates that students' motivation to learn DC is more than sufficient, but proficiency in special medical and cybersecurity DC needs improvement. The majority of respondents consider mastering DC an integral element in the formation of health-oriented leadership and effective management in healthcare. Mastering of DC should occur systematically with active involvement of IHME in the process.

Relevance In recent years, local hemostatic agents have become widespread, as their application at the incision area of the major duodenal papilla can stop or prevent bleeding. Aim of study To study the efficacy of topical application of incomplete silver salt of polyacrylic acid (PAAg) (Haemoblock) for the prevention and treatment of bleeding from the papillosphincterotomy area.Material and methods The prospective study included 211 patients who were hospitalized at the Regional Clinical Hospital in Ryazan from 2020 to 2023. In the main group of patients, for the purpose of hemostasis and prevention of bleeding, the area of the dissected major duodenal papilla was irrigated with 20 ml of an aqueous solution of PAAg. In the control group, irrigation was carried out with 20 ml of 0.9% sodium chloride. The main group included 111 patients (44 men, 67 women, mean age 55.09±20.97), the control group included 100 patients (43 men, 57 women, average age 53.85±20.34).Results In the main group of patients, bleeding from the MDP incision was observed in 83 cases after papillosphincterotomy, and in 82 cases in the control group. After irrigation with an aqueous solution of PAAg, bleeding from the MDP incision was arrested within 120 seconds in the main group in 70 patients, and in 51 patients in the control group, after irrigation with 0.9% sodium chloride solution. Within 300 seconds from the initiation of irrigation, hemostasis occurred in 12 of the 13 remaining patients in the main group with ongoing bleeding and in 27 of 31 patients in the control group. In two patients in the control group, bleeding was managed in 300 seconds without additional methods of endoscopic hemostasis. The use of additional methods of endoscopic hemostasis due to ongoing bleeding in the main group was required in one patient; the incision area was injected with an adrenaline solution. In the control group, additional endoscopic hemostasis was performed on two patients: in one case, injection with an adrenaline solution, in the other, diathermocoagulation of the incision area of MDP. In the early postoperative period, delayed bleeding was detected in 3 patients of the main group, which was significantly lower than the same indicator in the control group (7 observations).Conclusions Local application of PAAg for the treatment of early bleeding in papillosphicterotomy showed a significantly faster onset of hemostasis.

The article presents a case of using the trunk of the great saphenous vein from a living related donor in elective surgery for the main arteries of the lower leg. The possibility of using a vein from a relative in special clinical situations is shown. High risks of repeated interventions aimed at relieving early and late complications of vascular reconstructions remain an urgent problem in angiosurgery. Very often, operations are performed in the presence of extensive necrosis and trophic ulcers (stage IV according to the Fontaine-Pokrovsky classification). The gold standard for choosing a shunt during reconstructive operations on the infrainguinal arteries was and remains an autovenous conduit from the great saphenous vein (C, D type of arterial bed lesion according to TASC II). During repeated reconstructions in the absence of a suitable autovein and with the distal position of the peripheral anastomosis, it is not always possible to use a synthetic prosthesis as a reliable alternative. Unsatisfactory Results of using such materials dictate the need to choose a suitable graft. The problem of using allografts requires further in-depth study. In this regard, the case of using a donor vein as a material for reconstruction is given. It was concluded that it is possible to effectively use allovein from a related donor in a patient after previously performed reconstructive interventions and in the absence of autologous material for bypass surgery.

Studying the soils in the periodical flood zone of three reservoirs is of promising importance for their subsequent return to economic activities. Research on the bacterial and archaeal communities of soils that are periodically or continuously flooded by reservoirs is still insufficient. To evaluate the chemical status of soils and their microbiota, the study was conducted in the Yumaguzino, Nugush, and Slak reservoir sites in the South Ural area (Russian Federation). The bacterial and archaeal communities of periodically flooded and non-flooded soils were investigated after a comparative investigation of chemical, hydrological, and climatic factors. It was discovered that flooded soils had anoxic conditions during the whole of the year, with brief drying intervals of limited length and low levels of effective temperatures. In terms of chemistry, flooded soils are distinguished by increased acidity, a fall in organic matter, and an increase in alkali-hydrolysable nitrogen. Compared to their counterparts in non-flooded soils, bacterial and archaeal communities in flooded soils are significantly different. Generally speaking, the biodiversity of flooded soils rises with the duration and depth of floods. Significant variations at the phylum level are mostly caused by a decline in the relative presence of Thaumarchaeota and an increase in Proteobacteria and Chloroflexi representation. It was discovered that the Euryarchaeota phylum was either absent or had a significantly decreased relative prevalence at the sites of intermittently flooding soils.

Abstract The NA61/SHINE experiment at the CERN Super Proton Synchrotron studies the onset of deconfinement in strongly interacting matter through a beam energy scan of particle production in collisions of nuclei of varied sizes. This paper presents results on inclusive double-differential spectra, transverse momentum and rapidity distributions and mean multiplicities of $$\pi ^\pm $$ π ± , $$K^\pm $$ K ± , p and $$\bar{p}$$ p ¯ produced in $$^{40}\hbox {Ar+}^{45}\hbox {Sc}$$ 40 Ar+ 45 Sc collisions at beam momenta of 13A, 19A, 30A, 40A, 75A and 150A $$\text{ Ge }\hspace{-1.00006pt}\text{ V }\!/\!c$$ Ge V / c . The analysis uses the 10% most central collisions, where the observed forward energy defines centrality. The energy dependence of the $$K^\pm $$ K ± / $$\pi ^\pm $$ π ± ratios as well as of inverse slope parameters of the $$K^\pm $$ K ± transverse mass distributions are placed in between those found in inelastic $$p+p$$ p + p and central Pb + Pb collisions. The results obtained here establish a system-size dependence of hadron production properties that so far cannot be explained either within statistical or dynamical models.

Abstract This article offers a PV-PEMFC-batteries energy management strategy (EMS) that aims to meet the following goals: keep the DC link steady at the standard value, increase battery lifespan, and meet power demand. The suggested multi-source renewable system (MSRS) is made to meet load demand while using extra power to fill batteries. The major energy source for the MSRS is photovoltaic, and fuzzy logic MPPT is used to guarantee that the PV operates at optimal efficiency under a variety of irradiation conditions. The suggested state machine control consists of 15 steps. It prioritizes the proton exchange membrane fuel cell (PEMFC) as a secondary source for charging the battery when power is abundant and the state of charge (SOC) is low. The MSRS is made feasible by meticulously coordinating control and power management. The MSRS is made achievable by carefully orchestrated control and electricity management. The efficacy of the proposed system was evaluated under different solar irradiance and load conditions. The study demonstrates that implementing the SMC led to an average improvement of 2.3% in the overall efficiency of the system when compared to conventional control techniques. The maximum efficiency was observed when the system was operating under high load conditions, specifically when the state of charge (SOC) was greater than the maximum state of charge (SOCmax). The average efficiency achieved under these conditions was 97.2%. In addition, the MSRS successfully maintained power supply to the load for long durations, achieving an average sustained power of 96.5% over a period of 7.5 s. The validity of the modeling and management techniques mentioned in this study are confirmed by simulation results utilizing the MATLAB/Simulink (version: 2016, link: https://in.mathworks.com/products/simulink.html ) software tools. These findings show that the proposed SMC is effective at managing energy resources in MSRS, resulting in improved system efficiency and reliability.

Abstract This paper presents a comprehensive study on the implementation and analysis of PID controllers in an automated voltage regulator (AVR) system. A novel tuning technique, Virtual Time response-based iterative gain evaluation and re-design (V-Tiger), is introduced to iteratively adjust PID gains for optimal control performance. The study begins with the development of a mathematical model for the AVR system and initialization of PID gains using the Pessen Integral Rule. Virtual time-response analysis is then conducted to evaluate system performance, followed by iterative gain adjustments using Particle Swarm Optimization (PSO) within the V-Tiger framework. MATLAB simulations are employed to implement various controllers, including the V-Tiger PID controller, and their performance is compared in terms of transient response, stability, and control signal generation. Robustness analysis is conducted to assess the system's stability under uncertainties, and worst-case gain analysis is performed to quantify robustness. The transient response of the AVR with the proposed PID controller is compared with other heuristic controllers such as the Flower Pollination Algorithm, Teaching–Learning-based Optimization, Pessen Integral Rule, and Zeigler-Nichols methods. By measuring the peak closed-loop gain of the AVR with the controller and adding uncertainty to the AVR's field exciter and amplifier, the robustness of proposed controller is determined. Plotting the performance degradation curves yields robust stability margins and the accompanying maximum uncertainty that the AVR can withstand without compromising its stability or performance. Based on the degradation curves, robust stability margin of the V-Tiger PID controller is estimated at 3.5. The worst-case peak gains are also estimated using the performance degradation curves. Future research directions include exploring novel optimization techniques for further enhancing control performance in various industrial applications.

To date, significant foreign and domestic experience has been accumulated in the construction and operation of horizontal, multilateral and multilateral wells, as well as the restoration of an idle well stock by drilling sidetracks and sidetracks into various productive formations: low-permeability and highly dissected, with low values of effective oil-saturated thicknesses, degraded hydrodynamic connection with the contour area, etc. In this regard, it becomes extremely important to make a decision on choosing the optimal well profile in specific geological and physical conditions. The relevance of the work is also confirmed by the fact that at some development sites there is a decrease in the oil production rate of horizontal wells to the level of directional wells in the initial period of operation. Based on a significant difference in the reservoir properties of oil fields in the Perm Territory, all the analyzed objects operated by horizontal wells are combined into several groups: “northern” (N) and two “southern” (S1 and S2 ). The main parameter in the selection of groups was the coefficient of mobility of oil. The well-by-well technical and economic assessment performed in the article, based on the actual values of production over a long period, made it possible to identify the optimal well profile depending on the geological and physical characteristics of the reservoir. Combining the main geological characteristics that affect the technological parameters of well operation, with an economic assessment, the dependences of the net present value on the formation hydraulic conductivity were built. Dependences built for the first time make it possible to reasonably select the well profile in specific geological and physical conditions. Also in the work for a variety of geological and physical conditions, the value of the minimum profitable oil production for various well profiles is determined. Thus, the basis has been created, which is necessary for determining the profile of wells when planning production drilling.

Filtration of oil in low-permeable reservoirs is considered. The experimental data of dependence of filtration velocity on pressure gradient are analysed. It is shown that the filtration law in low-permeability reservoirs differs from the linear Darcy’s law and from the non-linear law with an initial pressure gradient. The power law of filtration in low-permeability reservoirs is experimentally substantiated. Models of nonlinear filtration influence on flow rate are proposed. The analysis of influence of nonlinear filtration parameters on flow rate in technogenically modified near-wellbore zone is carried out.

Background. Postcovid syndrome or Long COVID is a new term introduced into medical practice by WHO after the COVID -19 pandemic. Long COVID affects patients who have recovered from COVID -19. Objectives. The purpose of this work is to understand cognitive deficits caused by COVID-19 from the point of view of neuropsychology and pathophysiology. Data Sources. Literature search was conducted in the following electronic databases: Pubmed, Google.scholar and Scopus databases. 63 articles were selected. Keywords for the literature review included “neuropsychiatry/neuropsychology”, “pathophysiology”, “COVID-19”, “SARS-CoV-2”. Methods. Review and analysis of COVID-19 studies in terms of its relation to the appearance of cognitive deficits in patients. Results. The SARS-CoV-2 virus enters the human body and affects the structures of the brain. Some of the symptoms such as fatigue, shortness of breath, problems with concentration and memory, loss or change of taste and smell, pain in muscles and joints as well as sleep disorders are preserved in post-COVID period and may be explained by the peculiarity of the virus interaction with central nervous system. Neuropsychological analysis of observed disorders based on the theory of three functional blocks of the brain by A. R. Luria helps to identify the affected zones of the functional systems of higher mental functions (HMF). Neuropsychological assessment makes it possible to plan rehabilitation programme or cognitive training, and help doctor in choosing an adequate drug therapy to compensate for cognitive impairment. Conclusions. SARS-CoV-2 causes damage to brain structures such as the brainstem, limbic system, prefrontal cortex and olfactory tract, which explains the observed symptoms. Neuropsychological diagnostics makes it possible to identify the impaired component of the HMF in patients with post-COVID syndrome, to plan an adequate rehabilitation programme, as well as to choose drug therapy.

The article proposes a method of assessing information transmission reliability by using the output normalized logarithmic ratio of the likelihood function (LRLF) of the decoder. Based on the evaluation, the method allows adapting system parameters with turbo codes (TC) or LDPC code. This method can be used in combination with other methods of parametric and structural adaptation using turbo codes or LDPC codes.

Abstract Recently, the integration of renewable energy sources, specifically photovoltaic (PV) systems, into power networks has grown in significance for sustainable energy generation. Researchers have investigated different control algorithms for maximum power point tracking (MPPT) to enhance the efficiency of PV systems. This article presents an innovative method to address the problem of maximum power point tracking in photovoltaic systems amidst swiftly changing weather conditions. MPPT techniques supply maximum power to the load during irradiance fluctuations and ambient temperatures. A novel optimal model reference adaptive controller is developed and designed based on the MIT rule to seek global maximum power without ripples rapidly. The suggested controller is also optimized through two popular meta-heuristic algorithms: The genetic algorithm (GA) and the whale optimization algorithm (WOA). These meta-heuristic approaches have been exploited to overcome the difficulty of selecting the adaptation gain of the MRAC controller. The reference voltage for MPPT is generated in the study through an adaptive neuro-fuzzy inference system. The suggested controller’s performance is tested via MATLAB/Simulink software under varying temperature and radiation circumstances. Simulation is carried out using a Soltech 1sth-215-p module coupled to a boost converter, which powers a resistive load. Furthermore, to emphasize the recommended algorithm’s performance, a comparative study was done between the optimal MRAC using GA and WOA and the conventional incremental conductance (INC) method.

Abstract Controlling the Permanent Magnet Synchronous Motor (PMSM) can be challenging due to the nonlinearity of its dynamics, which makes it difficult to design control strategies that are both robust and effective. To address this challenge, this paper presents a novel control strategy rooted in the concept of passivity that combines field‐oriented control (FOC). This strategy compels the PMSM to accurately follow velocity and electrical torque trajectories. The approach, known as passivity‐based control (PBC), entails reshaping the inherent system energy while introducing the necessary damping to attain the desired objectives. A crucial aspect involves identifying workless force terms within the process model. Despite their presence, these terms do not impact the energy balance and stability properties. As a result, eliminating these terms is unnecessary. This simplicity in control architecture not only preserves system stability but also bolsters overall robustness. The system's overall stability and the current tracking error's exponential convergence have both been demonstrated analytically. In order to maintain stability, the controller accounts for the nonlinearities of the plant and approximates the unstructured dynamics of the PMSM. The proposed control is designed using the dq model of the PMSM, which avoids the model's structure destruction due to singularities, since the dq model does not depend explicitly on the rotor angular position. Experimental results shown further, illustrate speed and position control with a desired pair calculated by a filter or a proportional‐integral (PI) controller for speed control and a proportional‐integral‐derivative (PID) controller for position control. Also the correlation between practical and theoretical results is given as well as the robustness test in relation to the uncertainties of the PMSM's inertia moment. The results demonstrates the effectiveness of the proposed strategy in controlling the PMSM under different operating conditions, highlighting its potential for industrial applications.

Earthworms are one of the important soil animals and have been generally described as soil engineers. Knowledge on environmental conditions driving the distribution and population of this soil animal and the habitat which support these conditions especially at the ecological level is required to understand their responses to these environmental conditions at different habitats so as to guide its usage as bio indicator of soil quality and health. In this study we use RandomForest (RF), a machine learning algorithm to model species distribution, density/abundance based (SDM/SAM) and predict the biodiversity distribution (richness and density, ind.m−2) of three basic earthworms ecological categories: epigeic, endogeic and anecic (including the epi-anecic subcategory) across soil and climate variables at multiple habitat type/land uses in Germany. Our study shows there are spatial/ geographic variation in the distribution of the species richness and density among the three earthworms’ ecological categories. Also their environmental and habitat preferences are equally different, while epigeic species are predicted to be climate driven mostly in forests, endogeics are predicted to be the most diverse (in richness and density), but are mostly driven by soil textural contents (clay and silt) and found primarily in arable and grassland. Vineyard and crop flood plain are predicted to be suitable and the preferred habitat for anecics/epi-anecics. This study also identify optimum environmental gradient at which the species density is at the peak in each of the earthworm’s ecological category which would not only provide guide on soil biodiversity monitoring but also the soil health status.

Мета роботи. Провести розрахунок енергетичного балансу фотоенергетичної установки для роботи в умовах концентрованого сонячного випромінювання, розробити конструкцію теплообмінного блоку з «мікро» каналами. Методи дослідження. Аналітичні дослідження за допомогою критеріальних рівнянь гідродинаміки, створення та дослідження комп’ютерних моделей на основі рівнянь теплового балансу. Отримані результати. На основі аналізу теплових процесів запропоновано конструкцію теплообмінного блоку оснащеного «мікро каналами» для комбінованої фотоенергетичної установки, що розрахована на роботу в умовах концентрованого сонячного випромінювання. Показано, що в такій конструкції створюється перехідний режим потоку рідини, що охолоджує, що дозволяє ефективно охолоджувати сонячні елементи в умовах концентрованого сонячного випромінювання. На основі результатів досліджень запропоновано шляхи покращення конструкції теплообмінного блоку для оснащення фотоенергетичної установки, розрахованої на роботу в умовах порушення типової енергоінфраструктури. Показано, що для зменшення перепаду температури за площею СЕ можливе перенесення входу теплоносія в центр і двох виходів на протилежних краях блоку. Наукова новизна. Вперше запропонована конструкція радіатора теплообмінного блоку на основі «мікроканалів», що забезпечує перехідний режим потоку з коефіцієнтом теплообміну між теплоносієм та верхньою пластиною радіатора hf ~ 10000 Вт/(м2⋅К) при швидкості потоку у проміжках між пластинами ~2.1 м/с. Практична цінність. Виконано оцінку ефективності, теплових та електричних характеристик комбінованої фотоенергетичної установки з концентрацією сонячного випромінювання. Запропоновано використання розробленої конструкції теплообмінного блоку для оснащення фотоенергетичної установки для роботи в умовах порушення типової енергоінфраструктури. Проведено попередній розрахунок теплових та електричних параметрів фотоенергетичної установки, оснащеної багатокаскадними сонячними елементами на основі арсеніду галію та теплообмінним блоком із «мікроканалами».