Gravitation and inertia; a rearrangement of vacuum in gravity

We address the gravitation and inertia in the framework of 'general gauge principle', which accounts for 'gravitation gauge group' generated by hidden local internal symmetry implemented on the flat space. We connect this group to nonlinear realization of the Lie group of 'distortion' of local internal properties of six-dimensional flat space, which is assumed as a toy model underlying four-dimensional Minkowski space. The agreement between proposed gravitational theory and available observational verifications is satisfactory. We construct relativistic field theory of inertia and derive the relativistic law of inertia. This theory furnishes justification for introduction of the Principle of Equivalence. We address the rearrangement of vacuum state in gravity resulting from these ideas.Comment: 17 pages, no figures, revtex4, Accepted for publication in Astrophys. Space Sc

Удосконалення ресурсозабезпечення при відновленні будівель з використанням Artificial Intelligence

In construction, modern technologies are becoming a key factor in achieving resource conservation and improving efficiency. The application of artificial intelligence not only reduces resource consumption but also creates opportunities for optimizing the design processes and organizing construction production. Monitoring systems for the construction process, along with the implementation of advanced IT technologies in the construction industry, contribute to increased accuracy and speed of work execution. This innovative approach to construction not only promotes resource conservation but also creates essential conditions for the sustainable development of the industry. In the construction industry, where a traditional approach prevails, the implementation of artificial intelligence poses a challenge due to the absence of prior practice. As this technology is cutting-edge, a detailed study and practical testing are necessary to elucidate its potential advantages in the construction process. In the future, with the advancement of the industry, the use of artificial intelligence in construction could become a key factor in improving resource conservation, calendar planning, optimizing processes, and refining project management strategies. The purpose of this article is to develop an understanding of the impact of artificial intelligence on calendar planning and its potential application in post-conflict city rebuilding. In contemporary times, artificial intelligence is becoming an increasingly crucial tool in various fields, including project management, industry, and the economic components of post-crisis situations. Its high potential can contribute to addressing issues related to the reconstruction of cities affected by conflicts. Intelligent algorithms can effectively analyze and optimize calendar plans, considering various factors such as available resources, residents' needs, infrastructure, and more. This will enable the development of precise and efficient recovery strategies, ensuring optimal resource utilization and maximum social impact.В будівництві сучасні технології стають ключовим чинником для досягнення ресурсозбереження та підвищення ефективності. Застосування штучного інтелекту дозволяє не лише зменшити витрати ресурсів, але й створює можливості для оптимізації процесів проектування та організації будівельного виробництва. Системи моніторингу будівельного процесу, а також впровадження сучасних IT-технологій в будівельну галузь сприяють підвищенню точності та швидкості виконання робіт. Такий новітній підхід до будівництва не лише сприяє збереженню ресурсів, але і створює життєво важливі умови для сталого розвитку галузі. У галузі будівництва, де переважає традиційний підхід, впровадження штучного інтелекту стає викликом через відсутність попередньої практики. Оскільки ця технологія є новітньою, необхідно провести детальне дослідження та практичні випробування для з'ясування її потенційних переваг у будівельному процесі. В майбутньому, з розвитком індустрії, використання штучного інтелекту в галузі будівництва може стати ключовим фактором у вдосконаленні ресурсозбереження, календарного планування, оптимізації процесів та вдосконаленні стратегій управління будівельними проектами. Мета цієї статті полягає в розвитку розуміння впливу штучного інтелекту на календарне планування та можливість його використання під час відновлення міст. У наш час штучний інтелект стає все більш важливим інструментом у різних сферах, включаючи управління проєктами, промисловість, економічна складова посткризових ситуацій. Його високий потенціал може зробити внесок у вирішення проблем, пов'язаних із відбудовою міст, які постраждали від бойових подій. Інтелектуальні алгоритми можуть ефективно аналізувати та оптимізувати календарні плани, враховуючи різноманітні фактори, такі як наявні ресурси, потреби мешканців, інфраструктура тощо. Це дозволить розробляти точні та ефективні стратегії відновлення, забезпечуючи оптимальне використання ресурсів та максимальний соціальний вплив

Modern theoretical and practical measures to improve the energy efficiency of industrial buildings in Zaporizhzhia

Abstract. Problem statement. The problem of improving the energy efficiency of industry is today one of the most pressing and is being developed in several modern areas. One of the leading directions in this field is the development of the principles of sustainable architecture. The purpose of the article is to identify the main measures for the rational use of thermal resources, reducing energy consumption at industrial enterprises, which leads to a significant impact on the development of the country in the European direction. The use of foreign approaches to form a holistic methodology for assessing energy efficiency. Analysis of publications. The study of not only foreign, but also domestic modern theoretical developments and practical experience will allow to achieve the goal − to increase an energy efficiency of industrial buildings in Zaporizhzhia region. There are examples among European countries, which largely meet modern requirements, including energy efficiency in industry. Results of the study. The effectiveness of measures to improve energy efficiency is defined as the difference in the cost of energy consumed after their implementation. The first step in obtaining the results of energy efficiency is an energy survey or energy audit. Upon completion of the above operations, the customer must be provided with a report on the inspection of the facility, which includes recommendations (measures) to reduce the consumption of fuel and energy resources and their feasibility study, as well as the energy passport of the facility. Conclusions. The paper identifies the main aspects that need to be considered when drawing up an energy saving program at an industrial enterprise, which includes measures to improve energy efficiency. Also identified the main means of improving the energy efficiency of industry in Zaporizhzhia.&#x0D; Keywords: energy efficiency of buildings; energy efficiency improvement; rational use of energy resources; industrial construction; reconstruction of industrial enterprises; heat saving</jats:p

FEATURES OF FORMATION AND USE OF WATER RESOURCES IN THE NIZHNEGORSKY REGION OF THE REPUBLIC OF CRIMEA

The uneven distribution of water resources in most of the Crimean Peninsula leads to the redistribution of surface and underground runoff between regions. The available volumes of water resources in the Nizhnegorsk District have been redistributed due to the construction of extended water supply routes and groundwater intakes. An assessment of the rationality of using artesian waters from wells in the Nizhnegorsk region of the Crimean peninsula is carried out.</jats:p

Connections between single-level and bilevel multiobjective optimization

The relationship between bilevel optimization and multiobjective optimization has been studied by several authors, and there have been repeated attempts to establish a link between the two. We unify the results from the literature and generalize them for bilevel multiobjective optimization. We formulate sufficient conditions for an arbitrary binary relation to guarantee equality between the efficient set produced by the relation and the set of optimal solutions to a bilevel problem. In addition, we present specially structured bilevel multiobjective optimization problems motivated by real-life applications and an accompanying binary relation permitting their reduction to single-level multiobjective optimization problems.peerReviewe