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Introduction. One of the main factors affecting postoperative outcomes in patients with advanced ovarian cancer is the cardiopulmonary status. Several studies have reported that preoperative multifactorial rehabilitation and physical fitness can lead to reduced postoperative morbidity, mortality, shorter length of stay, and improved quality of life in cancer patients. The issue of adaptability to physical activity of overweight and obese patients who undergoing debulking surgery is insufficiently studied. The study of compensatory changes that occur in physically inactive obese patients remains relevant, especially against the background of neoadjuvant chemotherapy, in the conditions of preoperative preparation with ERAS-recommended physical activity. The aim of the study is to determine the differences between women with advanced ovarian cancer and obesity compared to women with normal weight in terms of heart rate variability during exercise. To assess the adaptive capabilities to physical activity of patients with advanced ovarian cancer and obesity at the stage of preoperative preparation, who undergoing debulking surgery. Result. Achieved METs, peak HR, CI, and HR recovery were higher in nonobese women, whereas training had no significant effect in obese women. Women who had already received neoadjuvant CT achieved a lower level of MET (6.8 ± 3.2 vs. 8.9 ± 4.1; P < 0.001). Also, peak HR and CI were lower in women after neoadjuvant CT (126±27 vs. 138±20; P = 0.001 and 0.65±0.22 vs. 0.71±0.22; P = 0.001, respectively). BMI was a significant predictor of exercise capacity only in the obese subgroup, whereas age, peak HR, and prior adjuvant HT were always significantly associated with METs achieved. Conclusions. No significant difference was found between trained and untrained women with comorbid obesity in HR behavior or physical capacity. Different heart rate behavior in patients of this group is thus explained by obesity as such, regardless of the degree of physical training.

The subject of this study is a method for analyzing threats and vulnerabilities and selecting countermeasures to ensure cybersecurity in augmented reality (AR) applications. The goal of this study is to increase the completeness of cybersecurity assessment of AR applications by using a formalized procedure for identifying and analyzing the risks of common threats, vulnerabilities, and types of attacks. This study is based on the well-known IMESA method (analysis of types, consequences and criticality of interventions), which structures the procedure for analyzing and minimizing risks by introducing appropriate countermeasures to ensure acceptable cybersecurity risks. Objectives: to substantiate the set of major cybersecurity threats specific to AR applications; to identify and describe download vulnerabilities in AR systems; to provide a detailed classification of various cyberattacks aimed at AR platforms, considering the results of a study of recent incidents; to use the IMECA method to describe and analyze cybersecurity issues in a structured manner and to propose reliable countermeasures. According to the tasks, the following results were obtained: 1) a classification of threats with a detailed description of how each of them can affect AR applications, namely threats such as software interference, unauthorized access, and malicious hardware embedding; 2) a critical analysis of weaknesses in AR systems, in particular, insecure data storage and insufficient authentication before using sensors, which provides an understanding of possible attack vectors; 3) a detailed description of various attack methodologies, including AR phishing, AR malware, and man-in-the-middle attacks, each illustrated with real-world examples or hypothetical scenarios. A systematic approach using the IMECA framework was used to identify, assess, and ensure the cybersecurity of AR applications using a set of proposed countermeasures. Conclusions. AR technology, despite its revolutionary nature and great potential, poses a unique set of cybersecurity challenges. These challenges are related to the immersive nature of the technology, dependence on real-time data, and integration with the physical world. The study emphasizes that an understanding of the threat landscape, combined with an IMESA-structured approach to risk management, is crucial for the secure development of AR applications. Developers, users, and managers responsible for security policies need to be proactive, innovative, and aligned in their approach to cybersecurity in AR systems.

The scientific work considers citizen journalism as a modern phenomenon of the multimedia space of Ukraine, modern trends in the development of citizen journalism during the Russian-Ukrainian war. The study highlights the main features of this type of journalism, which is actively developing in social networks and other Internet platforms. The main ones include speed and mobility, ease of publication and submission of material, large audience coverage, immediate feedback and the possibility of live communication, crowdsourcing and diversity of viewpoints, activism and promotion. The object of the research is the modern Ukrainian media discourse during the war. Ukrainian news reports and analytics created by public journalists during the Russian-Ukrainian war served as material for the analysis. During the Russian-Ukrainian war, a citizen journalist becomes available to the general public of Ukraine, both amateur and professional. The blog has become a tool for the development and unstoppable growth of the influence of citizen journalism on the formation of public opinion, by providing information from the first sources, efficiency and mobility, ease of submitting material and its perception, a large audience of coverage and interactivity, crowdsourcing and diversity of points of view. The appearance of video materials and text messages of leading bloggers of Ukraine in the columns of world publications and in the TV programs of leading companies in the world indicates the rapid growth and strengthening of trust in this type of journalism. We see the prospects for further research in the analysis of new trends in the development of citizen journalism, the emergence of new features and even genres, convergence of formats of traditional mass media and social platform blogs.

Problem definition. The uncertainty of the consequences of situations related to stressful situations for the child's psyche actualizes the issue of introducing new approaches, methods and tools of psychological influence that would contribute to the preschooler's ability to overcome stress in a constructive way. Problem analysis. Childhood psychological trauma leaves its mark on the subconscious, can shape a person's worldview, beliefs, and identification of the self. And since trauma affects the levels of primary safety, it creates very powerful patterns in the mind. Signs of childhood trauma include mood swings, guilt, anxiety, feelings of abandonment, confusion and impaired concentration, and withdrawal. The conceptualization of traumatic experience is widely presented in scientific literature: theories of traumatic emotional experience (O.S. Kocharyan, R. Lanius, M. Massey, R. Hammer), conceptual foundations of the subverbal model of client-centered psychotherapy (O.S. Kocharyan), theories and typologies of infantile traumas (Johnson St. M., Burbo L., etc.), theoretical positions of procedural-experiential and emotionally-focused psychotherapy (Greenberg L. and Elliott R.), psychoanalytic theory according to Freud Z., ideas about the formation of early maladaptive schemes (Boterhoven de H., Christopher W., Fassbinder E., Hayes C., Katrina L., Yong J.) and others. However, solving many complex problems remains relevant, one of which includes psychological assistance to the most vulnerable population groups in extreme situations, one of which includes children and work with current traumatic experiences. The purpose of the study is to develop and test a multifunctional tool for working with childhood trauma in conditions of long-term traumatic circumstances. Conclusions. The stories about Hibuki, through which the child identified with the hero of the story, contribute to the restoration of internal mechanisms of the psyche, which help the process of restoring the child's psychological health. A psychologist can use these stories both to rehabilitate a child's psyche and to diagnose his or her emotional state.

Increase in green vegetables popularity in nutrition and medicine promotes investigations of new cultivar and hybrid biochemical parameters. Nutritional value and antioxidant status of three Rumex representatives: Rumex acetosa L. (Krupnolistny cv.), Rumex sanguineus L. (prospect genotype) and Rumex confertus Willd. were studied. Antioxidant defense parameters (total antioxidant activity, polyphenol and ascorbic acid content) decreased in accordance to: Rumex sanguineus L. > Rumes confertus Willd. > Rumex acetosa L. Thus the ascorbic acid content in bloody dock (R. sanguineus) reached 129 mg/100 g which was 1.48 times higher than in Russian dock (R. confertus) and 3.17 times higher than in garden sorrel (R. acetosa). The total chlorophyll content was also the highest in bloody dock (17.74 mg/g d.w.) compared to 15.88 mg/g in R. confertus and 13.07 mg/g in R. acetosa leaves. The new R. sanguineus genotype was characterized by high decorative properties and demonstrated twice higher oxalic acid content compared to R. acetosa, Krupnolistny cv., and 1.5 times higher value than in R. confertus. High decorative and medicinal value of R. sanguineus was connected to a great extent with the intensive anthocyanin accumulation reaching 7.2% and high nitrate content. The results of the present study indicate high prospects of R. sanguineus genotype utilization in landscape design, food industry and medicine.

The subject of this study is to ensure the cybersecurity of systems of multifunctional UAV fleets (SMF UAV). The purpose of this study is to identify and analyze the risks associated with the cybersecurity of multi-functional UAV fleets, develop models of threats, vulnerabilities, and attacks, and conduct IMECA analysis of cyber-attacks. Tasks: 1) analyze threats that may affect the security of multifunctional UAV fleets; 2) identify system vulnerabilities and their possible consequences in case of exploitation; 3) develop models of the system infrastructure and threats, vulnerabilities, and attacks, considering the specifics of the functionality and communication between system elements; 4) perform a risk-based analysis, identifying and classifying potential threats and their impact. The following results were obtained. The following results were obtained. 1. Cybersecurity threats to multifunctional UAV fleets are described and classified. 2. Identified and analyzed system vulnerabilities and their potential consequences. 3. Developed models of threats, vulnerabilities, and cyberattacks, considering the specifics of the UAV fleet. 4. Conducted a risk-based analysis, determined the level of threat, and developed recommendations for improving the cybersecurity of the UAV fleet based on the results of the IMECA analysis. Conclusions. The research emphasizes the importance of the developed model and tool for the detection and analysis of cyber threats to the SMF UAV. This allows increasing the cybersecurity and reliability of the system and ensuring timely response to cyber threats. Areas for further research: development of a model and method to consider the specifics of cyber threats and the technological characteristics of the SMF infrastructure; development and implementation of proactive protection tools in the context of combined cyber-attacks; and expansion of the scope of these tools in various industries, including smart cities.

A comprehensive review of existing artificial intelligence models, focusing on fourteen prominent language and multimodal generative models from four rapidly evolving categories: Marketing, Copywriting, Image Improvement, and Social Media, is made. As of May 2023, 1,523 AI models are available to end users, with notable Russian services such as Balaboba, GigaChat, and Kandinskiy 2.0 emerging as counterparts to popular foreign neural networks. The potential applications of these tools in various media production domains, including journalism, marketing, and copywriting, are explored. It was necessary to talk about language models, since these are the ones, most connected not only to the media sphere, but to academic writing as well. Moreover, the authors delve into the ethical considerations associated with the use of AI models in professional settings, addressing potential challenges and concerns. The importance of responsible development, use, and regulation of AI technology, as well as the need for collaboration among researchers, governments, and private organizations to ensure ethical AI practices, is highlighted. The authors also outline the prospects for further development of AI models and related research, emphasizing the need to foster an environment of continuous learning for innovation that is inclusive and accessible. This approach will help maximize the benefits of AI while minimizing potential harm, paving the way for a more prosperous, equitable, and sustainable future. The presented materials can serve as an introduction to the emerging branch of AI models development.

Cystic fibrosis is a severe hereditary disease with polysystemic manifestations and progressive course. Malnutrition in cystic fibrosis occurs as a result of exocrine insufficiency of the pancreas, an increase in energy losses in chronic inflammation in the bronchopulmonary system, manifested by increased stress on the respiratory system. The presented literature review highlights the modern principles of prevention and correction of malnutrition in children with cystic fibrosis, identifies the most promising methods for further development that correct nutritional status disorders. The review has shown that an active approach to nutrition at any age, the use of aggressive methods of nutritional support against the background of enzyme replacement therapy, timely and adequate therapy of respiratory tract pathology lead to an improvement in the indicators of nutritional status in cystic fibrosis. The most promising is the further development of targeted therapy, which allows, as a result of exposure to the etiopathogenetic mechanisms of the disease, to reduce the frequency and severity of bronchopulmonary exacerbations, partially restore the exocrine function of the pancreas, which is manifested in patients with cystic fibrosis by an increase in body weight and mass-growth index.

Explaining the complex structure and dynamics of sleep, which consist of alternating and physiologically distinct nonREM and REM sleep episodes, has posed a significant challenge. In this study, we demonstrate that a single wave model concept captures the distinctly different overnight dynamics of the four primary sleep measures—the duration and intensity of nonREM and REM sleep episodes—with high quantitative precision for both regular and extended sleep. The model also accurately predicts how these polysomnographic measures respond to sleep deprivation or abundance. Furthermore, the model passes the ultimate test, as its prediction leads to a novel experimental finding—an invariant relationship between the duration of nonREM episodes and the intensity of REM episodes, the product of which remains constant over consecutive sleep cycles. These results suggest a functional unity between nonREM and REM sleep, establishing a comprehensive and quantitative framework for understanding normal sleep and sleep disorders.

The article presents an observation of a rare benign lymphoproliferative disease — Castleman’s disease, with pronounced systemic symptoms. The clinical case is of interest not only for the rarity of pathology, but also for the peculiarities of clinical manifestations, including paraneoplastic pseudosclerodermic clinical and immunological syndrome, which was not previously described in the context of Castleman’s disease, Raynaud’s syndrome, severe pulmonary hypertension and a suspected (not proven morphologically) variant of extranodal lesion with its previously also notobserved localization in the sigmoid colon wall.

The purpose of this article is to introduce the concept of Psychologicallysomatic stress, to describe types of military stress, to show the principles of use the method of Positive Psychotherapy for psychological rehabilitation of combatants with mental disorders. Methods of the research. The following theoretical methods of the research were used to solve the tasks formulated in the article: a categorical method, structural and functional methods, the methods of the analysis, systematization, modeling, generalization. The experimental method was the method of organizing empirical research. We also used the method of Positive Psychotherapy. The results of the research. According to combatants we distinguish the following types of stress: Chronic constant (or prolonged) stress. It is determined by a constant (or prolonged) serious load on a person and causes increased neuropsychological and physiological tension of the body. Acute situational stress is caused by a certain event or phenomenon, as a result of which a person loses his/her mental balance. Constant physiological stress is associated with physical overloads of the body and the influence of various harmful environmental factors on it (uncomfortable temperature, high noise level, etc.). Psychological stress is a consequence of: violation of the psychological stability of the person (for example, affected self-esteem, negative reasons of war, etc.); psychological overload of the person (increased responsibility, large amount of war destroyed activity, etc.). The subtype of Psychological stress is the Emotional stress, that occurs when there is a threat, danger or fear. Informative stress is determined by information overload or information vacuum. Conclusions. The solution of the problem by using the method of Positive Psychotherapy has to be in such a way, that torments, the patient must always go through five main stages: 1. Looking at the situation from a distance. 2. Careful study of each individual detail, without exception, all the nuances. 3. Situational agreements. 4. Verbalization. In Psychology, this is the formalization of feelings and emotions into verbal-logical forms. In simple words, this is a description of how a person feels when he/she is thinking about a problem. 5. Expanding boundaries, setting new goals and drawing up a plan of the action. The main goal of each session is to free a person from the burden with which he/she came. And you need to do it right now, at the current moment in time. Interestingly, according to this scheme, specialists in Positive Psychology build communication with absolutely all their clients, regardless of their problem.

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. A promising approach for reducing the resource consumption of AI systems during test-time involves applying the concepts and methods of dynamic neural networks. Nevertheless, the resilience of dynamic neural networks against various disturbances remains underexplored. This paper proposes a model architecture and training method that integrate dynamic neural networks with a focus on resilience. Compared to conventional training methods, the proposed approach yields a 24% increase in the resilience of convolutional networks and a 19.7% increase in the resilience of visual transformers under fault injections. Additionally, it results in a 16.9% increase in the resilience of convolutional network ResNet-110 and a 21.6% increase in the resilience of visual transformer DeiT-S under adversarial attacks, while saving more than 30% of computational resources. Meta-training the neural network model improves resilience to task changes by an average of 22%, while achieving the same level of resource savings.

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. Based on the planning scheme, the following stages are described: (1) laying the LiFi signal propagation route in conditions of interference, (2) placement of the UAV at the specified points of the laid route for the deployment of the LiFi network, and (3) ensuring the reliability of the deployed LiFi network. Strategies for deploying UAVs from a stationary depot to form a flying LiFi network in a room with obstacles are considered, namely the strategy of the first point for the route, the strategy of radial movement, and the strategy of the middle point for the route. Methods for ensuring the uninterrupted functioning of the flying LiFi network with the required level of reliability within a given time are developed and discussed. To implement the planning stages for deploying the UAV flying LiFi network in a production facility with obstacles, the “Simulation Way” and “Reliability Level” software tools are developed and described. Examples of utilising the proposed software tools are given.

High-throughput genomic technologies are enabling the identification of thousands or even millions of single-nucleotide polymorphisms (SNPs). SNP markers are frequently used to analyze crop varieties, with the marker data summarized in a common VCF file. At present, it is difficult to identify the minimal SNP set, the smallest sets that can distinguish between all crop varieties listed in a VCF file, due to the absence of available ready-to-use tools capable of such characterization. Here, we describe the development of the ready-to-use open-source tool MDSearch (Minimal Discriminatory SNP Set Search) based on the identification of the MDS (minimal discriminatory set) of SNPs using random walking staring from the maximal discriminatory set. MDSearch can be used for disploid as well as poliploid species and both phased and unphased VCF files. MDSearch has been validated using a publicly available dataset of barley SNPs obtained by genotyping-by-sequencing. As a result, we have successfully identified a discriminating set of 19 SNP markers capable of distinguishing all 254 barley varieties included in our study. We expect that this program will prove useful to genomics researchers to support a variety of certifications.

Replacement policies have an important role in the functioning of the cache memory of processor cores. The implementation of a successful policy allows us to increase the performance of the processor core and the computer system as a whole. Replacement policies are most often evaluated by the percentage of cache hits during the cycles of the processor bus when accessing the cache memory. The policies that focus on replacing the Least Recently Used (LRU) or Least Frequently Used (LFU) elements, whether instructions or data, are relevant for use. It should be noted that in the paging cache buffer, the above replacement policies can also be used to replace address information. The pseudo LRU (PLRU) policy introduces replacing based on approximate information about the age of the elements in the cache memory. The hardware implementation of any replacement policy algorithm is the circuit. This hardware part of the processor core has certain characteristics: the latency of the search process for a candidate element for replacement, the gate complexity, and the reliability. The characteristics of the PLRUt and PLRUm replacement policies are synthesized and investigated. Both are the varieties of the PLRU replacement policy, which is close to the LRU policy in terms of the percentage of cache hits. In the current study, the hardware implementation of these policies is evaluated, and the possibility of adaptation to each of the policies in the processor core according to a selected priority characteristic is analyzed. The dependency of the rise in the delay and gate complexity in the case of an increase in the associativity of the cache memory is shown. The advantage of the hardware implementation of the PLRUt algorithm in comparison with the PLRUm algorithm for higher values of associativity is shown.

The high biological activity of cultivated and wild purslane offers broad possibilities for utilizing this plant in medicine and human nutrition. To assess the prospects of obtaining new functional food products based on the wild form of P. oleracea L., foliar biofortification of this species with sodium selenate (VI) was carried out, and the changes in leaf and seed biochemical characteristics were investigated. Selenium significantly enhanced plant yield, photosynthetic pigments and the ascorbic acid content, and showed a tendency to seed productivity increase. The application of selenium augmented quinic acid content in leaves by 1.7 times but did not affect the oxalic acid content. Oxalic acid prevailed in wild purslane and quinic acid in cultivated purslane (cv. Makovey). Seed oil in Se-enriched purslane was characterized by a two-fold decrease in saturated fatty acids and squalene and 2.3-fold decrease in malonic dialdehyde content, along with a 1.4-fold increase in ascorbic acid. Selenium supplementation resulted in an increase in total lipids and mono- and di-unsaturated fatty acids and did not affect the concentration of ω-3 fatty acids and sterol accumulation. Among the identified sterols, only the minor ones (fucosterol, 7-stigmasterol and ∆7-avenosterol) showed a slight decrease upon Se supply. Compared to seeds of cv. Makovey, wild purslane seeds had higher levels of antioxidant activity by a factor of 2 and of polyphenols by a factor of 3.2 but did not differ significantly in oil fatty acid composition. The results indicate the importance of wild purslane leaves/seeds both fortified and not fortified with Se in human nutrition and medicine.

Assessing the effects that nonstationary dynamic processes have on the durability of structural elements belongs to an important trend in modern dynamics and technical diagnostics of machines. Normally, fatigue strength calculations are performed taking into account only periodically variable stresses, as steady operating modes of machines are much longer in comparison with transient modes. However, a significant role in fatigue failure in machines and engineering structures is also played by nonstationary loads. This is explained by emerging intensive oscillations in the mechanical system during accelerating, braking, or changing the operation mode of a machine unit, which often lead to the accumulation of fatigue damages in the materials of parts in heavy loaded assemblies. The combination of stationary and nonstationary dynamic loads manifests itself, particularly in drilling rigs, where technological cycles include steady motion modes, starts, and stops. This paper represents a generalized mathematical model describing nonstationary processes in the lift system of a drill rig, which considers the relationship between electromagnetic processes in asynchronous motors and mechanical oscillatory phenomena, with the purpose of determining dynamic loads and stresses in structural elements of the rigs. Nonlinear physical systems include mechanical members with both concentrated and clearly expressed distributed parameters. The durability of structural elements is evaluated by means of a computer algorithm for analysis of crack growth rates using the NASGRO equation obtained with the presence of plastic deformation zones. An example of the crown block axis illustrates the influence of nonstationary dynamic processes in drill rigs on the durability of structural elements.