• Energy Research
• 2021-2025close
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Bridges in Ukraine are one of the most important components of the infrastructure, requiring attention from government agencies and constant funding. The object of the study was the methodology for quantifying the condition of bridge components. The Artificial Neural Network-based (ANN) tool was developed to quantify the technical condition of bridge components. The literature analysis showed that in most cases the datasets were obtained during the inspection of bridges to solve the problems of assessing the current technical condition. The lack of such a database prompted the creation of a dataset on the basis of the Classification Tables of the Operating Conditions of the Bridge Components (CT). Based on CTs, five datasets were formed to assess the condition of the bridge components: bridge span, bridge deck, pier caps beam, piers and abutments, approaches. The next step of this study was creating, training, validating and testing ANN models. The network with ADAM loss function and softmax activation showed the best results. The optimal values of MAPE and R2 were achieved at the 100th epoch with 64 neurons in the hidden layer and were equal to 0.1% and 0.99998, respectively. The practical application of the ANN models was carried out on the most common type of bridge in Ukraine, namely, a road beam bridge of small length, made of precast concrete. The novelty of this study consists of the development of a tool based on the use of ANN model, and the proposal to modify the methodology for quantifying the condition of bridge components. This will allow minimizing the uncertainties associated with the subjective judgments of experts, as well as increasing the accuracy of the assessment.

Effectively reducing climate change requires marked, global behavior change. However, it is unclear which strategies are most likely to motivate people to change their climate beliefs and behaviors. Here, we tested 11 expert-crowdsourced interventions on four climate mitigation outcomes: beliefs, policy support, information sharing intention, and an effortful tree-planting behavioral task. Across 59,440 participants from 63 countries, the interventions’ effectiveness was small, largely limited to nonclimate skeptics, and differed across outcomes: Beliefs were strengthened mostly by decreasing psychological distance (by 2.3%), policy support by writing a letter to a future-generation member (2.6%), information sharing by negative emotion induction (12.1%), and no intervention increased the more effortful behavior—several interventions even reduced tree planting. Last, the effects of each intervention differed depending on people’s initial climate beliefs. These findings suggest that the impact of behavioral climate interventions varies across audiences and target behaviors.

Purpose. In modern conditions of energy consumption growth and a rapid increase in energy prices the actual problem is the development and implementation of energy efficiency programs and resource-saving conversion in to a source to provide the needs of industry and municipal power. The paper aims to solve the urgent problem of energy saving and efficient use of fuel-energy ones and heat supply system optimization on the basis of Uman National University of Horticulture (UNUH). Methodology. The work investigated the process of heating and hot water supply in the course of 2007-2015 years. Implementation of current problems of energy saving is grounded on the scientific-practical and efficient assurance of fuel and energy usage. At the same time energy-saving technologies are viewed as a priority direction of the energy sector development, reduction of man-induced impact on the environment and as a way of improving the competitiveness of the national economy. Findings. Statistical data acquisition and analyzing of gas flow and outside air temperature for nine years was carried out. On the basis of this analysis, the problem was identified and specific targets for its solutions were set. Originality. Scientific novelty lies in solving the problem of energy saving and efficient use of fuel resources in Ukraine through the use of a systematic approach, the methodology development of efficient use of different fuels and optimization of local heating operation, applying contemporary automation and control systems. Firstly it was in detail analyzed and conducted the comprehensive assessment of various factors influence on energy conservation. It takes into account the human factor, professionalism and responsibility of the operators of boilers and their superiors, as well as the relevant control services. Practical value. For UNUH campus hybrid use of solid fuel and gas boilers was carried out. Decentralization of the university heating system has been conducted through the restoration of 350 individual heating systems in residential buildings, remote departments and campus dormitories. The conclusions propose the list of activities upon the real economy of fuel and energy resources, and measures to overcome the economic and political crisis in the country.

Introduction. The resources of the business entities of the machine-building complex increasingly determine the importance of developing the components of the internal efficiency of the industry itself and ensuring the national security of Ukraine, since the machine-building complex is the leading branch of the national economy. In this regard, an urgent task is to form a methodological basis based on the concept of the development of the machine-building complex using a system of measures of direct and indirect regulation and improvement of the strategic directions of industrial policy. Aim and tasks. The purpose of the paper is to substantiate the essential characteristics of the economic security of the machine-building complex, as well as to study the approach to implementing the concept of the development of the machine-building complex based on the application of methodological contexts. The paper examines the essential and practical characteristics of implementation the concept development of the machine-building complex in the context of methodological basis based on safety-related conditions. Results. The evaluation of the effectiveness of the implementation of the existing concept using the model for selecting target indicators is substantiated, as a result of which the main vectors for ensuring the safety of machine-building enterprises in modern conditions of challenges and threats are identified. In addition, three design stages of the implementation of this concept are characterized and the features of ensuring the relevant safety components in the conditions of the intensification of the development of the machine-building complex are studied. Conclusions. A distinctive feature of the management of the economic security system of machine-building enterprises is the ability to use operational, tactical, strategic, and preventive mechanisms for diagnosing, stabilizing, and ensuring the economic security of machine-building enterprises. The proposed concept allows assessing the prospects for the development of a machine-building enterprise, developing its tactics and strategy, and reducing the consequences of financial crises and the negative impact of new threats and dangers based on the practical application of the concept of developing the complex under study using predetermined methodological contexts.

ABSTRACTComparing a parasitic lineage to its free-living relatives is a powerful way to understand how the evolutionary transition to parasitism occurred.Giardia intestinalis(Fornicata) is a leading cause of gastrointestinal disease world-wide and is famous for its unusual complement of cellular compartments, such as having peripheral vacuoles instead of typical endosomal compartments. Endocytosis plays an important role inGiardia’s pathogenesis. Endosomal sorting complexes required for transport (ESCRT) are membrane-deforming proteins associated with the late endosome/multivesicular body (MVB). MVBs are ill-defined inG. intestinalisand roles for identified ESCRT-related proteins are not fully understood in the context of its unique endocytic system. Furthermore, components thought to be required for full ESCRT functionality have not yet been documented in this species.We used genomic and transcriptomic data from several Fornicata species to clarify the evolutionary genome streamlining observed inGiardia, as well as to detect any divergent orthologs of the Fornicata ESCRT subunits. We observed differences in the ESCRT machinery complement betweenGiardiastrains. Microscopy-based investigations of key components of ESCRT machinery such asGiVPS36andGiVPS25 link them to peripheral vacuoles, highlighting these organelles as simplified MVB equivalents. Unexpectedly, we show ESCRT components associated with the Endoplasmic Reticulum, and for the first time, mitosomes. Finally, we identified the rare ESCRT component CHMP7 in several fornicate representatives, includingGiardia, and show that contrary to current understanding, CHMP7 evolved from a gene fusion of VPS25 and SNF7 domains, prior to the last eukaryotic common ancestor, over 1.5 billion years ago. Our findings show that ESCRT machinery inG. intestinalisis far more varied and complete than previously thought, and associating to multiple cellular locations and presenting changes in ESCRT complement which pre-date adoption of a parasitic lifestyle.

Abstract This paper introduces an innovative framework for the management of virtual companies in smart urban environments, with an emphasis on socio-economic resilience facilitated by Sustainable Information Systems. The system aims to equip virtual enterprises in smart cities with tools for robust operations amid socio-economic challenges. Its effectiveness is evidenced by improvements in investment risk assessment, business process simulation, and HR project management, enhancing efficiency and foresight. A key feature is predictive analytics for crisis demand forecasting, enabling swift market adjustments and strategic inventory management. It also helps identify alternative clients and suppliers, ensuring business continuity. Integrating machine learning and augmented reality, the system supports automation and strategic decision-making, significantly benefiting the e-commerce sector by addressing fluctuating demand, supply chain issues, and market adaptations during crises. The Sustainable Information System for Virtual Company Management in Smart Cities offers crucial support for e-businesses facing these socio-economic challenges, facilitating their navigation through turbulent times. Its meticulously designed architecture and functionalities make it a powerful instrument for assisting virtual companies in crisis conditions, fostering their sustainable growth within the socio-economic framework of smart urban settings. Comparative studies with existing models underscore this system’s superior efficiency and holistic approach, highlighting its contribution to enhancing the operational efficiency of virtual companies by 95%, reducing the time needed for critical activities like investment risk analysis and business process simulation, and bolstering the socio-economic resilience of smart cities against crises

Abstract The article proves the necessity and expediency of using financial leasing by extractive industry enterprises to minimize the cost of purchasing, using, maintaining equipment and maintaining production capacity. Foreign and domestic financial leasing practices analyzed and their direct impact on the development of the country’s economy is determined. Financial leasing will become more accessible and understandable for enterprises of different sectors of the economy after the entry into force of the Law of Ukraine “On Financial Leasing”. The analysis of the value of the concluded financial leasing agreements by sectors of the economy carried out and their basic tendencies defined. It is determined that the volume of concluded financial leasing agreements by extractive industry enterprises has a small share in comparison with other branches of economy. The analysis of the effectiveness of structural changes confirm the low demand for financial leasing by extractive industry enterprises. It is determined that the use of financial leasing by extractive industry enterprises will expand existing production, introduce the latest technologies, minimize costs for the purchase, use, maintenance and upgrade of equipment and means of production.