Unstable Conditions Research Articles

Cognitive-motor exergame training on a labile surface in stroke inpatients: study protocol for a randomized controlled trial.

Cognitive-motor training in form of exergames has been found to be feasible and effective for the improvement of motor and cognitive functioning in older adults and several patient populations. Exergame training under unstable conditions might increase the proprioceptive resources needed and thus might be a superior training approach compared to exergame training on stable ground for stroke patients, who often have proprioceptive deficits. Aim of this study is to assess the feasibility and effects of exergame-based cognitive-motor training on a labile platform on physical and cognitive functioning in stroke inpatients. This is two-armed pilot randomized controlled trial taking place in an inpatient neurologic rehabilitation clinic. A total of 30 persons that are undergoing inpatient rehabilitation due to a stroke will be randomly assigned to either the intervention group (IG) or the control group (CG). Participants of the IG will receive exergame-based motor-cognitive training on a labile surface, whereas participants of the CG will train on a stable surface. Primary outcome is feasibility comprising measures of adherence, attrition, safety and usability. Secondary outcomes will be measures of cognitive (psychomotor speed, inhibition, selective attention, cognitive flexibility, brain activity) and motor (functional mobility, gait speed, balance, proprioception) functioning. Data collection started in February 2024 and is expected to be completed by August 2024. This is the first study looking into exergame training on labile surface in stroke patients. It will give valuable insights into the feasibility and potential added value of this type of training and thus inform further implementation efforts in the context of inpatient rehabilitation. ClinicalTrials.gov, NCT06296069.

Perioperative Dysrhythmias in Adult Patients for Non Cardiac Surgery: A Prospective Cohort Study

Introduction: The vulnerable perioperative period is prone to the development of a heterogeneous group of conditions characterised by abnormal electrical activity in the heart, termed as cardiac dysrhythmias. Aim: To determine the incidence of dysrhythmias in the perioperative period, identify predisposing factors, evaluate the effect of anaesthesia, analyse haemodynamic consequences, and document the treatment provided. Materials and Methods: A prospective cohort study involving 9666 adult patients undergoing non cardiac surgery was conducted in the Department of Anaesthesiology at Lokmanya Tilak Municipal College and General Hospital, Sion, Mumbai, Maharsahtra, India from January 2012 to December 2013. Parameters studied included preoperative clinical data (history, examination, and relevant investigations), type of anaesthesia, occurrence of dysrhythmias, and clinical outcomes of persistent dysrhythmias or those requiring treatment. Data was collected prospectively and analysed using Statistical Package for Social Sciences (SPSS) software version 15.0. Results: The overall incidence of dysrhythmias was 1.2%. Consistent factors included age over 40 years (68.1%), male gender (52.59%), gastrointestinal and orthopaedic procedures (65.5%), preoperative hypertension (25%), and patients receiving general anaesthesia (61.2%). Most patients were classified as American Soceity of Anesthesiologists (ASA) Class-I and II (93.97%) and underwent elective surgery (61.21%). The majority (81.89%) of dysrhythmias occurred intraoperatively and were ventricular in origin (68.97%). Unstable haemodynamic conditions [Systolic Blood Pressure (SBP) <90 mmHg, Heart Rate (HR) <50 /min and/or Ventricular Premature Contraction (VPCs) >5/min or multifocal VPCs)] were observed in 56.9% of patients. Of patients with ventricular dysrhythmias, 57% exhibited unstable haemodynamics. Treatment was provided to 84.48% of patients, with 74.14% responding positively, leading to the termination of dysrhythmias. Anticholinergics were used in 40.52% of treatment modalities. The majority of dysrhythmias were transient 80 (68.9%) patients, and 83 of patients had a favourable outcome. Unfortunately, 5 (6.9%) of patients could not be revived, with three patients 3 (2.5%) succumbing in the operating room. Mortality was not directly linked to the dysrhythmia but was due to underlying causes. Conclusion: Transient intraoperative ventricular cardiac dysrhythmias are common in adult patients undergoing noncardiac surgeries. Therefore, it is crucial to identify highrisk patients, analyse contributing factors, and promptly correct issues under expert medical guidance.

УСТОЙЧИВОСТЬ ЯБЛОНИ К ВЫСОКОТЕМПЕРАТУРНОМУ СТРЕССУ

Under unstable climatic conditions, the resistance of apple trees to high temperatures is an important varietal trait. The aim of the research is to identify heat resistance indicators of different apple varieties in a heat chamber for dry air treatment. The heat treatment of the varieties Antonovka Obyknovennaya, Lobo, Rozhdestvenskoe, Bolotovskoe, Kandil Orlovskiy, Imrus was carried out in a heat chamber at the temperature of +38°С and air humidity of 40% for 90 days. For the heat treatment, 2-year-old apple plants were used. Higher heat resistance was observed in the Lobo variety compared to the other varieties studied. The apple varieties were characterized by medium (Lobo, Rozhdestvenskoe) and high (Bolotovskoe, Imrus, Antonovka Obyknovennaya, Kandil Orlovskiy) water content, high water losses after a simulated heat shock, increased (Kandil Orlovskiy) and high (Bolotovskoe, Imrus, Antonovka Obyknovennaya, Lobo, Rozhdestvenskoe) wa- ter deficit, high degree of restoration of leaf water content. The proposed heat resistance coefficient was characterized by a strong degree of association with water loss (r = –0.97) and a moderate degree of association with water content restoration (r = 0.65). Apple plants had a high survival rate after thermotherapy, which was 92.3%.

Illumination Distillation Framework for Nighttime Person Re-Identification and a New Benchmark

Nighttime person Re-ID (person re-identification in the nighttime) is a very important and challenging task for visual surveillance but it has not been thoroughly investigated. Under the low illumination condition, the performance of person Re-ID methods usually sharply deteriorates. To address the low illumination challenge in nighttime person Re-ID, this paper proposes an Illumination Distillation Framework (IDF), which utilizes illumination enhancement and illumination distillation schemes to promote the learning of Re-ID models. Specifically, IDF consists of a master branch, an illumination enhancement branch, and an illumination distillation module. The master branch is used to extract the features from a nighttime image. The illumination enhancement branch first estimates an enhanced image from the nighttime image using a nonlinear curve mapping method and then extracts the enhanced features. However, nighttime and enhanced features usually contain data noise due to unstable lighting conditions and enhancement failures. To fully exploit the complementary benefits of nighttime and enhanced features while suppressing data noise, we propose an illumination distillation module. In particular, the illumination distillation module fuses the features from two branches through a bottleneck fusion model and then uses the fused features to guide the learning of both branches in a distillation manner. In addition, we build a real-world nighttime person Re-ID dataset, named <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Night600</i> , which contains 600 identities captured from different viewpoints and nighttime illumination conditions under complex outdoor environments. Experimental results demonstrate that our IDF can achieve state-of-the-art performance on two nighttime person Re-ID datasets ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">i.e.</i> , <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Night600</i> and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Knight</i> ). We will release our code and dataset at <uri xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">https://github.com/Alexadlu/IDF</uri> .

Geological Mapping Optimisation Using Satellite Gravity, Satellite Imagery, and Seismic Shear Velocity (Vs30) to Monitor Lithological Condition in Geothermal Area of Mount Salak, West Java

Conventional geological mapping has several challenges such as limitation of area coverage, tough terrain, unstable weather condition, high-cost survey, also limitation of expert geologist that capable to do geological mapping. Remote sensing is an alternative solution to geological mapping through the combination of satellite gravity, satellite imagery, and seismic shear wave velocity. This research aims to optimise geological mapping activity in the Mount Salak geothermal area from ineffective area coverage mapping and inefficient budgeting allocation. Integration of rock density from satellite gravity, lithological distribution from satellite imagery, and seismic shear wave velocity from Vs30 are giving more detailed lithological units interpretation with specific physical conditions. There are two main area of Mount Salak that should be preserved geothermal resource sustainable. Northeast area needs to preserve heat source and groundwater recharge area, that consist of dense vegetation as landcover, relatively high rock density value (2.30 - 2.50 gr/cm3), high seismic shear wave velocity (600 – 900 m/s), also dominantly covers by Andesitic-Basaltic Lava. Southwest area preserve reservoir and caprock of geothermal conceptual model, where covers by dense vegetation with several bare land as geothermal wells and powerplants, relatively low rock density value (2.00 – 2.20 gr/cm3), moderate seismic shear wave velocity value (450-750 m/s), also dominated by several pyroclastic product such as Lapilli and Tuff. This research shows good indication in geothermal resource preservation in the Mount Salak, that keep natural aspect of geothermal conceptual model still preserved well.

КЛЮЧОВІ АСПЕКТИ МОДЕЛЮВАННЯ БІЗНЕС-ПРОЦЕСІВ У СФЕРІ ГОТЕЛЬНО-РЕСТОРАННОЇ ІНДУСТРІЇ В УМОВАХ НЕВИЗНАЧЕНОСТІ

The article examines modern approaches to modeling business processes in the hotel and restaurant industry in Ukraine. It emphasizes that over the past three decades, strategy has been the primary building block of competitiveness, but in the future, the search for sustainable advantage may shift to the processes of business model formation. The article describes various authors' approaches to this concept and the sequential stages of building a business model under unstable economic conditions. It characterizes the differences between business processes in the hotel and restaurant sectors and proposes an author's approach to the key elements of business modeling. Based on analyzed data, the article concludes that the leading hotel chain, Marriott International Inc., views sustainability as a key aspect of all business processes. Consequently, it highlights major development directions such as investing in the latest technologies, particularly in improving user digital platforms, developing the mid-price segment, and digital transformation, which could be relevant for other hotel and restaurant chains, including those in Ukraine. Different business models in the hotel and restaurant industry are shaped by commercial decisions made by hotel investors and hotel management companies regarding: оwnership of hotel premises and buildings; brand independence or affiliation with a larger hotel network operating under a unified brand; establishing and ensuring compliance with brand standards; risk distribution and profit-taking from hotel business operations; managing the team that makes daily operational decisions in the hotel (including staff recruitment and training). Thus, the further successful development and operation of enterprises in the hotel and restaurant industry will depend on their ability to adapt to changing market conditions, implement innovative solutions, and maintain sustainable development. The key aspects of business process modeling proposed in the article will introduce an element of certainty into the enterprise management process and integrate the latest management approaches into specific business processes, considering their specificity. Depending on the set goals, the methodology for modeling business processes can be narrowed or expanded.

Thin-film sensors for data-driven concentricity prediction in cup backward extrusion

The manufacture of precise metal components by cold forging poses serious challenges to the process reliability under unstable process conditions. The detection of geometrical imperfections, such as concentricity deviations, is necessary for the operator to adjust the forging tool rack properly. In this paper, a novel piezoelectric thin-film sensor disc is introduced to detect such concentricity deviations based on the measurement of eccentric load, that is arising from elastic punch deformation. Experimental results showed, that the concentricity deviation of the produced parts efficiently can be predicted by processing measured force data using a support vector regression algorithm.

Biomorphological traits and leaf dry matter content are important to plant persistence in a highly unstable volcanic ground

The colonisation of newly formed territories by plants during primary succession is a crucial stage in the formation of ecosystems. Adaptations of species to withstand harsh environment allow them to survive and form pioneer communities. We analysed ten categorical and quantitative plant traits to examine their role in plant resistance to substrate instability in primary volcanic habitats. The research questions were: 1) which plant traits enable plants to persist under the most unstable ground conditions?; 2) what are the ecological strategies of species that grow under the condition of stress, such as low mineral nutrition, coupled with intense disturbance, such as unstable ground? The research was conducted on the Tolbachinsky Dol plateau in Kamchatka, Russia, on loose volcanic sediments of the 1975 eruption. At altitudes ranging from 700 m a.s.l. to 1000 m a.s.l., 40 sample plots were established along the gradients of altitude and degrees of ground instability. The species composition of vascular plants and the percentage cover of species, as well as other habitat characteristics, were assessed. Linear models were used to investigate the relationship between traits and ground instability. The principal component analysis was used to identify groups of characteristic traits. Leaf dry matter content (LDMC) had the largest explained variance. The LDMC community weighted means decreased with increasing disturbance (ground instability). A whole set of categorical traits, i.e. plant functional types, characterised the adaptation of plants to unstable ground. These characteristics include life-form (according to Serebryakov classification), density of shoots arrangement, morphology of underground organs, and, to a lesser extent, dispersal mode. The study analysed 45 species, and it was found that only four of them were adapted to perform under conditions of high substrate instability. The study showed that the mutual interaction of a suite of biomorphological traits and leaf density characteristics formed a syndrome of pioneer species adapted to unstable ground. The ecological strategies of the majority of species in the studied communities were characterised by the predominance of the stress-tolerant strategy, explained by the extremely poor mineral nutrition in the primary habitats. Under conditions of both low nutrient availability and high disturbance intensity, species with a mixed stress-tolerant-ruderal strategy are favoured. In the gradient of increasing disturbance, the role of the ruderal axis increased while stress tolerance decreased. However, the role of ecological strategy may be weakened by the presence of other important adaptive traits.

Contract price change during the construction phase: unforeseen market conditions

Abstract The unstable economic conditions that have been in place in the Slovenian and international construction markets reveal the problem of a disproportionate increase in the prices of construction materials and energy products. Such increases will therefore result in higher costs of construction services, which would ultimately affect the total value of the construction project. These events in turn bring uncertainty to the construction project and would negatively impact the business of construction companies and investors. Legal and construction practices have so far developed various ways to regulate contract changes arising due to unforeseen market conditions. The present paper offers a contribution to the contract price change solution during the construction phase. The introduction first presents the measures and guidelines that deal with the differences in contract prices in Slovenia and some other countries. Then, various methods of calculating price differences that have emerged in current Slovenian practice are described. As a result, a proposal for a hybrid method of monthly price difference calculation is presented. The hybrid method represents a balanced solution resulting from the unforeseen increase in construction material prices on the market and is applicable to all construction projects. The three methods, i.e., a calculation method, a method based on the GZS-ZGIGM index, and a hybrid method, are applied to a real example of a public contract. The calculation of the price valorisation, represented as an index of the recognised price increases of contract works, is carried out. The results are compared, and further solutions are proposed.

Інвестиційна політика промислового підприємства: теоретичні аспекти та особливості формування в кризових умовах

The article defines that ways of interpreting the essence of the concept of "investment policy" may vary depending on the opinions and considerations of different authors. Based on the generalization of the main approaches to the definition of investment policy in economic literature, various aspects of investment policy were highlighted, in particular, the key ones are: strategic planning, regulation, stimulation and influence on the distribution of resources. It is substantiated that the role of investment policy in the activity of an industrial enterprise is expressed through the connection of the concepts "investment – policy – investment policy", the essence of which is subject to a certain logic. In fact, we are talking about investing resources or assets in a certain project or enterprise, which should stimulate and support investment activity through a complex of processes of formation, realization and implementation of decisions, strategies and actions. It is proved that even in unstable economic conditions, large enterprises can implement large-scale investment programs related to the purchase of expensive, often imported, high-performance equipment, while the investment funds of small and medium-sized businesses are directed mainly to the purchase of relatively not very expensive low-performance machines. During periods of crisis, investors become more attentive to corporate fundamentals, which leads to an outflow of capital from defensive portfolios. Investors find a way out in approaches focused on the long-term sustainability of firms. World experience shows that one of the most effective investment options is involvement in innovative investment activities, which should become a leading reference point in the implementation of the investment policy of industrial enterprises. This will not only help protect equity from loss or depreciation, but will also allow the business to receive regular income in the form of interest or dividends and a number of other benefits.

A Comparative Study of PSO, GWO, and HOA Algorithms for Maximum Power Point Tracking in Partially Shaded Photovoltaic Systems

Abstract Solar energy harnessed through photovoltaic technology plays a crucial role in generating electrical energy. Maximising the power output of solar modules requires optimal solar radiation. However, challenges arise due to obstacles such as stationary objects, buildings, and sand-laden winds, resulting in multiple points of maximum power on the P–V curve. This problem requires the use of maximum power point tracking algorithms, especially in unstable climatic conditions and partial shading scenarios. In this study, we propose a comparative analysis of three MPPT methods: particle swarm optimisation (PSO), grey wolf optimisation (GWO) and Horse Herd Optimization Algorithm (HOA) under dynamic partial shading conditions. We evaluate the accuracy of these methods using Matlab / Simulink simulations. The results show that all three methods solve partial shading problems effectively and with high precision. Furthermore, the Horse Herd Optimization approach has superior tracking accuracy and faster convergence compared with the other proposed methods.

Acute respiratory failure prognosis in prolonged ICU stays

Objective: This study aimed to assess the outcome of patients with acute respiratory failure and need of mechanical ventilation who stayed for more than 21 days in the ICU. Methods: All acute respiratory failure patients in King Saud Medical City, Riyadh Saudi Arabia and adults ICU who required a lengthy intensive care unit stay of more than 21 days between January 2022 and August 2023 were identified in this retrospective study. Information was extracted from the hospital database by trained physicians. Results: Total 121 patients (mean age 61.2±15.8 years) were included. Of which, 24.1% patients were more than 70 years. Sepsis was the most common cause of prolonged ICU stay both in survivors and non-survivors with 77.8% and 76.1%, respectively. Compared to patients who survived, non-survivors had higher acute physiology and chronic health evaluation (APACHE 4) scores were considerably older. Moreover, non-survivors were more likely than survivors to have renal failure, arrhythmia, hepatic failure, or significant gastrointestinal tract bleeding as reasons for a lengthy ICU stay. Patients who were admitted to ICU because they needed further surgery were more likely to survive. Conclusion: When acute respiratory fever (ARF) patients needed a lengthy stay in the ICU, their prognosis was not good. A high risk of in-hospital death was linked to older ages, more than 28 days ICU stay, more than 25 APACHE 4 score, unstable hemodynamic condition, hepatic failure, renal failure, major gastrointestinal tract bleeding, and needing FiO2 &amp;ge;40%.

АНАЛИЗ ФИНАНСОВОЙ УСТОЙЧИВОСТИ АК «АЛРОСА» (ПАО) В 2022–2023 ГГ.

The purpose of this article is to consider the impact of events and sanctions in 2022 on the financial stability of the company AK ALROSA. In the article, the author analyzes the financial indicators of the organization based on financial statements, and also identifies the reasons for their changes. As a result of the study, it was revealed that in 2022 the financial stability of the diamond mining company AK ALROSA could be considered normal, but in 2023 the indicators decreased, which led to an unstable financial condition of the enterprise. Based on the results of the analysis of the company’s financial stability, it can be concluded that the financial condition of AK ALROSA in the analyzed period from 2021 to 2023 worsened, the second half of 2022 affected the indicators of the same year as a whole, as well as the indicators 2023. All this is due to the unprecedented sanctions imposed against Russian businesses in 2022 and restrictions on the purchase of Russian diamonds.

Outcomes and Its Associated Factors among Patients with Abdominal Trauma Requiring Laparotomy at Asella Referral and Teaching Hospital, South Central Ethiopia: A Retrospective Cross-Sectional Study.

Trauma is a serious public health problem, and abdominal injuries are among the leading causes of hospitalization after trauma. Therefore, this study aimed to determine the outcome of abdominal trauma and its predictors in patients who underwent laparotomy at Asella Referral and Teaching Hospital (ARTH), South Central Ethiopia. We conducted a retrospective institutional based cross-sectional study of patients who underwent laparotomy for abdominal trauma at ARTH from October 1, 2015, to September 30, 2020. Bivariate and multivariate logistic regressions were used to determine associations between independent factors and mortality due to abdominal trauma, and a P value of <0.05 indicated statistical significance. Out of 139 patients, 110 (79.1%) were males and 88 (63.3%) aged <30 years old, with a mean age of 29 ± 15.73 years. The most common mechanism of injury was penetrating trauma, which accounted for 94 (67.6%) patients. The mortality rate was 21 (15.1%). Factors such as blunt mechanism of injury (95% CI: AOR: 3.36, 1.24-9.09), SBP < 90 mmHg at presentation (95% CI: AOR = 9.37, 3.28-26.80), time >6 hours from trauma to admission (95% CI: AOR: 5.44, 1.78-16.63), unstable intraoperative patient condition (95% CI: AOR = 8.82, 3.05-25.52), and patients who need blood transfusion (95% CI: AOR: 6.63, 1.92-22.91) were significantly associated with mortality. The mortality rate of abdominal trauma patients who underwent laparotomy was high. Therefore, healthcare providers should provide priority for traumatic patients as prolonged waiting time to get healthcare results in poor outcomes for the patients.

Оптимізація бізнес-процесів підприємств у системі стратегічного управління інноваційною діяльністю

The aim of the article is to substantiate the methodological support for optimizing the business processes of enterprise in the system of strategic management in the context of the use of innovations under unstable conditions of development. The content of the term «innovation activity of enterprise» has been analyzed and it has been found that for the most part it is considered as a complex characteristic of its activity, in particular as the degree of intensity of the ongoing innovative transformations and their timeliness. The relationship between the processes of strategic management and management of innovation activity of enterprise, based on the data of the information field, is generalized. The main elements of the strategy for the application of technological innovations have been allocated. Emphasis is placed on the need for monitoring of the results of strategy of introduction of technological innovations. The algorithm of activation of information processes of industrial enterprise on the basis of monitoring and controlling data of business processes in order to optimize them is substantiated. The main characteristics of conceptual approaches and methods of optimization of business processes are considered. An analysis of the categorical apparatus of the concepts of «engineering» and «reengineering» has been carried out. The prerequisites for the practical application of methods for optimizing business processes in complex unstable situations in order to improve the efficiency of activities are generalized. The experience of integration of processes of strategic management of enterprise and management of its innovation activity is considered. The features of the procedure for developing a strategy for the application of technological innovations are characterized and a fragment of the strategic management system in terms of optimizing the business processes of enterprise, taking into account the innovation component, is presented. It is recommended to integrate these proposals and classical tools for the formation of functional strategies, incorporating them with each other, on the basis of which a synergistic effect will be obtained and, accordingly, to achieve the strategic goal in the optimal way in the system of strategic management.

Development of the consulting services market in Ukraine amid contemporary changes

The article examines the peculiarities of the consulting services market in Ukraine amid wartime conditions, as well as the influence of external and internal factors on the development of the consulting services market in Ukraine. Additionally, the authors analyze key indicators of the Ukrainian consulting services market based on statistical data and conduct a detailed investigation into how full-scale war affects its development. The article also assesses the business environment's response to unstable conditions, including companies' financial reserves, cost optimization, and management strategies. Special attention is given to the impact of war on the demand and supply of consulting services. It investigates which market segments suffered the most due to the war, how the structure of client requests has changed, and what new requirements have emerged for consulting services. The article thoroughly analyzes the influence of supply and demand factors on the functioning of the consulting services market in Ukraine, based on statistical data, key operational aspects, and regulatory frameworks. It examines the size and main characteristics of the consulting services market, delving into its structure and key participants. Particular focus is placed on evaluating trends in the industry's development and identifying factors affecting its effectiveness. The research employs various methods, including statistical data analysis, expert surveys, and comparative analysis with macroeconomic indicators. Specifically, the study aims to determine the interrelation between the development of the consulting market and economic processes in Ukraine. Based on the findings, patterns of development in the Ukrainian consulting services market are identified, recommendations for strategic planning and improvement of this sector are formulated, and a forecast for its development is constructed. The conclusions of the study may be valuable for professionals interested in the consulting services market in Ukraine, as well as for businesses and governmental entities involved in regulating this industry.

CONTEMPORARY TRENDS IN THE BUSINESS ENVIRONMENT IN UKRAINE

The article examines the impact of external and internal factors on the macroeconomic situation and business environment in Ukraine. It discusses the peculiarities of the business environment's reaction to unstable conditions, including the presence of financial reserves in companies, cost optimization, and management strategies. The influence of war on the demand and supply of services, changes in the economic structure, and new requirements for businesses are analyzed in detail. The size and basic characteristics of economic sectors are studied, and factors affecting business efficiency in Ukraine are identified. The article focuses on determining the interrelations between the development of the business environment and economic processes in Ukraine. It reviews the specificities of Ukraine's macroeconomic situation during wartime and the impact of external and internal factors on economic development. Moreover, key macroeconomic indicators are analyzed based on statistical data, and a detailed study is conducted on how full-scale war affects Ukraine's economy. The reaction of the business environment to unstable conditions, including the availability of financial reserves in companies, cost optimization, and management strategies, is also analyzed. Special attention is paid to the impact of war on demand and supply. The segments of the economy most affected by the war are examined, as well as changes in the economic structure. The size and basic characteristics of the economy are analyzed, and trends in development and factors influencing its efficiency are identified. Various methods are used in the study, including analysis of statistical data, expert surveys, and comparative analysis with macroeconomic indicators. In particular, the research is oriented towards determining the interrelations between the influence of external factors and economic processes in Ukraine. Based on the obtained data, regularities of economic development in Ukraine are formed, and a forecast for the economy's development in 2024 is constructed. The conclusions of the study may be useful for professionals interested in Ukraine's macroeconomic processes, as well as for businesses and government structures involved in strategic planning.

ПРОБЛЕМЫ РЕАЛИЗАЦИИ КЛАСТЕРНОЙ ПОЛИТИКИ В ПРОМЫШЛЕННОМ СЕКТОРЕ ЭКОНОМИКИ РОССИИ

The study is devoted to the problems of implementing cluster policy at Russian industrial enterprises in modern unstable conditions. In particular, such problems of cluster policy implementation as the problem of insufficient financing of industrial clusters, difficulties in attracting private capital, limited deadlines set for reporting industrial cluster participants on the use of public funds for financing; the problem of imperfection of the regulatory framework for regulating cluster policy in industry are considered in detail; problems of infrastructure development of industrial clusters. Within the industrial clusters themselves, problems such as the lack of qualified personnel for cluster development, as well as the uneven distribution of benefits among cluster participants, generating distrust between them, were noted. All the identified problems often contribute to the collapse of the cluster in the short term. The article also presents possible solutions to these problems. For the successful implementation of cluster policy, an integrated approach is needed, involving the improvement of legislation, stimulating investment in clusters, infrastructure development and training of qualified personnel, which will maximize the potential of the cluster model of economic development. Taking into account the proposed recommendations can significantly reduce the risks associated with government financing of industrial clusters and partnerships within the cluster, and ensure their sustainable development.

Adaptive Control of a Boost DC/DC Converter based on Artificial Intelligence

The paper presents a solution to model and control the operation of DC/DC converters, in normal regime based on Artificial Intelligence. A solution is developed for simulating and controlling the performance of DC/DC converters, encompassing both normal and fault scenarios. The suggested model for the converter employs a transfer function mathematical model configuration with adaptable coefficients. To accommodate variable duty cycles, fully connected neural networks are utilized to determine the appropriate coefficients for the model. Additionally, a control framework capable of identifying faults and mitigating their impact is presented. This framework includes a compensator designed to prevent unstable conditions as the converter parameters deviate from their nominal values, serving as an effective fault tolerance mechanism. The proposed methodology is aimed at devising algorithms suitable for real-time execution on 32-bit ARM processors.

Disaster Mitigation Communication Patterns: Case Studies in Natural Disaster Vulnerable Communities in Kulon Progo Regency

attention and vigilance. That's why disaster mitigation needs to be disseminated to all levels of society. One area that has a high level of vulnerability is Kulon Progo is a case study with a descriptive type in this research. Recorded in 2019 having 53 landslide-prone areas in 5 sub-districts. To anticipate victims, the Regional Disaster Management Agency (BPBD) of Kulon Progo Regency formed 3 Disaster Response Villages as bottom-up disaster mitigation pilots, one of which is Kalirejo Village. This effort is interesting in examining how communication patterns are carried out in natural disaster-prone areas (Kalirejo Village) in mitigating natural disasters. This study is qualitative and involves several elements including Kelurahan government officials, self-help groups, disaster risk reduction forums, volunteers, and residents who represent stakeholders related to mitigation. A qualitative approach is used to deepen understanding through observation, interviews, and focus group discussions. Data analysis uses an interactive model recommended by Miles and Huberman. The main findings of the study show that the most frequent natural disasters are landslides and floods. This is caused by the topography which causes unstable soil conditions so that it easily causes landslides when rainfall is high. The dominant communication pattern in terms of natural disaster management/mitigation is bottom-up, from the community to the Village, Kapanewon, and Regency Governments as well as BPBD. However, ritual communication patterns, both based on local traditions and wisdom as well as those with nuances of religious teachings, are still sustainable and ongoing.