Internal Property Research Articles

Physical properties of deep eutectic solvents with efficient nitrogen removal capability

The efficient separation of N-compounds from fuel oil is of great significance for environmental protection and the development of sustainable chemical processes. In this work, eight quaternary acidic deep eutectic solvents (DESs) were prepared for the removal of basic N-compounds (pyridine) from simulated oils. Initially, the density, viscosity, conductivity, surface tension and refractive index values of the DESs were determined at 293.15–333.15 K. Based on these data, physical quantities such as molecular volume, standard entropy, lattice energy, activation energy of viscous flow, activation energy of conductivity, surface entropy, surface energy, speed of sound, molar Gibbs free energy, molar polarizability, molar polarizability, and free molar volume have been calculated. The effects of temperature, alkyl chain length of hydrogen bond acceptors (HBAs)/hydrogen bond donors (HBDs), structure of HBDs, and HBAs anion on the physical properties of DESs were systematically investigated. The internal interaction and property change of DESs are further studied. Finally, pyridine was extracted from the simulated oil using the prepared DESs. DESs consisting of tetrabutylammonium bromide and lactic acid had the highest extraction capacity under the same conditions. The extraction efficiency was found to be strongly correlated with the alkyl chain length and the acidity of the HBDs. This work is expected to provide information on the removal of N-compounds from both theoretical and industrial perspectives.

Dynamic ultrasonic response modeling and accurate state of charge estimation for lithium ion batteries under various load profiles and temperatures

Accurate estimation of the State of Charge (SoC) plays a vital role in ensuring the efficient and safe operation of lithium iron phosphate (LFP) batteries. However, the flat open circuit voltage (OCV) curve of the LFP battery implies a low sensitivity to SoC, which results in large SoC estimation errors in the presence of noisy terminal voltage measurements. To address this challenge, an SoC estimation methodology utilizing an ultrasonic reflection response model is proposed, which is the first methodology regarding highly accurate and robust ultrasonic model-based SoC estimation under dynamic load profiles. Since ultrasound waves enable non-destructive acquisition of battery internal physical property changes directly associated with SoC, the ultrasonic battery near-surface reflection feature is extracted and demonstrated to exhibit a highly linear correlation with and higher sensitivity to SoC. We pioneeringly construct an empirical differential ultrasonic model to describe how the ultrasonic feature depends on the SoC and dynamic current. The advantage of such an ultrasonic model is demonstrated by theoretical and experimental results of an Adaptive Extend Kalman Filter (AEKF) and an Adaptive H-infinity Filter (AHIF) under various dynamic load profiles and temperatures. The Root Mean Square Error (RMSE) for ultrasonic model-based SoC estimation remains at approximately 1% across all tests, reducing by 36.7% compared to the voltage model, which shows its great potential in accurate SoC estimation.

Role of low-concentrated Cu2O3 additives in changing the structural internal phase, optical property, and radiation gamma-ray shielding ability of Ca/Na lead Arseborate glass

Role of low-concentrated Cu2O3 additives in changing the structural internal phase, optical property, and radiation gamma-ray shielding ability of Ca/Na lead Arseborate glass

Kernel-endoregular modules and the morphic property

This paper describes properties of three certain classes of modules M over a ring R determined by conditions on isomorphic direct summands ( ≲ ⊕ ): The condition that whenever ( I m λ ≅ ) M / Ker λ ≲ ⊕ M then Ker λ and I m λ are direct summands of M for any endomorphism λ ∈ End ( M ) (kernel-endoregular modules). The condition that if M / A ≅ B where A, B ≲ ⊕ M then M / B ≅ A (iso-summand-morphic modules). The condition if M / A ≅ B where A, B ≤ ⊕ M , then M / B ≅ A (summand-morphic modules) which is precisely the internal cancellation property for modules.

Gravitoelectromagnetic Field Strength Tensor in Flat Spacetime Frame: Dynamics of a Gyroscope in the Earth’s Gravitational Field

In this article, we develop gravitoelectromagnetism (GEM) as a formal relativistic theory of gravitation characterized by a field potential fourvector in a flat (Minkowski) spacetime frame. By reorganizing the Lense-Thirring spacetime metric of linearized general relativity, we have determined the appropriate field potential four-vector and the field strength tensor which generates dynamics in the GEM field. The general covariant equation of motion of the spin four-vector of a gyroscope driven by the GEM field strength tensor provides the expected form of the frame-dragging and geodetic effects after introducing a gyromagnetic ratio η = 4 as an internal dynamical property of the gyroscope.

"Shape bias" goes social: Children categorize people by weight rather than race.

Children tend to categorize novel objects according to their shape rather than their color, texture, or other salient properties-known as "shape bias." We investigated whether this bias also extends to the social domain, where it should lead children to categorize people according to their weight (their body shape) rather than their race (their skin color). In Study 1, participants (n=50 US 4- and 5-year-olds) were asked to extend a novel label from a target object/person to either an object/person who shared the target's shape/weight, color/race, or neither. Children selected the shape-/weight-matched individual over the color-/race-matched individual (dobjects =1.58, dpeople =0.99) and their shape biases were correlated across the two domains. In Study 2, participants (n=20 US 4- and 5-year-olds) were asked to extend a novel internal property from a target person to either a person who shared the target's weight, race, or neither. Again, children selected the weight-matched individual (d=1.98), suggesting they view an individual's weight as more predictive of their internal properties than their race. Overall, results suggest that children's early shape bias extends into the social domain. Implications for weight bias and early social cognition are discussed. RESEARCH HIGHLIGHTS: Preschoolers extend novel labels based on people's weight rather than their race. Preschoolers infer internal features based on people's weight rather than their race. Shape biases are present, and correlated, across the social and object domains.

Some properties of thermal insulating cement mortar using Ponza aggregate

Abstract Lightweight aggregate (LWA) mortar is made using lightweight or low-density aggregate, which improves properties such as thermal insulation, durability for freezing and thawing, fire and temperature resistance, and sound insulation. This research aims to use lightweight fine aggregate obtained from crushing natural rocks that are locally called “Ponza” to produce LWA mortar with different mix proportions to study the possibility of using it to produce blocks that can be erected on the outer side of the walls of old buildings to provide good thermal insulation. It also presents a study about the internal curing property of the produced cement mortar, which comes from the absorbed water by the used surface-saturated dry Ponza aggregate. The process includes using three mix proportions (1:1, 1:0.7, and 1:0.5) by weight of cement: fine aggregate. The samples were cured by dividing them into five groups, including moist curing for 1, 3, 7, and 28 days and the fifth group was moist cured for 1 day and then covered by a thin layer of flan coat. Dry density, compressive strength, flexural strength, and thermal conductivity for ages (7, 28, and 56 days) have been tested. The findings indicate that it is possible to produce thermal insulating lightweight cement mortar with mixtures of 1:0.7 or 1:0.5 cement to LWA, using Ponza aggregate, since the results showed an acceptable range of compressive and flexural strengths reaching about 14.75 and 2.91 MPa, respectively, a bulk density of less than 1,600 kg/mm3, and a lower thermal conductivity than many building materials.

TGF: Multiscale transformer graph attention network for multi-sensor image fusion

Multisensor image fusion is a challenging task that aims to produce a composite image by fusing visible (VI) and infrared (IR) images. Deep neural networks have shown impressive performance for VI and IR image fusion however, majority of them overlook the internal patch-recurrence property of source images, which limits their ability to learn diverse features. To address this issue, we propose a novel fusion framework based on vision transformer and graph attention, utilizing local patch repetition to enhance the feature representation and texture recovery. In particular, the proposed transformer blocks can learn high-frequency domain-specific information of the source images. The graph attention mechanism provides additional guidance for the features utilizing the similarity and symmetry information across patches. Furthermore, the proposed graph attention fusion block (GAFB) improves the selectivity and effectiveness of feature learning. The GAFB can identify significant corresponding local and global details of source images. The complementary information containing long-range and local symmetric details across domains is combined while preserving the appropriate apparent intensity to generate the fused image. Through extensive evaluations on benchmark datasets, our proposed technique demonstrates superior performance. Significantly, our approach achieves SSIM scores of 0.7552 on the TNO dataset and 0.7673 on the roadscene dataset, surpassing the state-of-the-art techniques used for evaluation.

A Novel Risk Assessment for Cable Fires Based on a Hybrid Cloud-Model-Enabled Dynamic Bayesian Network Method

The fire risk of cables constantly changes over time and is affected by the materials and working conditions of cables. To address its internal timing property, it is essential to use a dynamic analysis method to assess cable fire risk. Meanwhile, data uncertainty resulting in the deviation of risk values must also be considered in the risk assessment. In this regard, this study proposes a hybrid cloud model (CM)-enabled Dynamic Bayesian network (DBN) method to estimate the cable fire risk under uncertainty. In particular, the CM is initially applied to determine the membership degrees of the assessment data relative to different states of the root nodes; then, these degrees are considered the prior probabilities of DBN, where the dynamic risk profiles are reasoned. Subsequently, the Birnbaum and Fussell–Vesely importance measures are constructed to identify the key nodes for risk prevention and control, respectively. Moreover, a case study of the Chongqing Tobacco Logistics Distribution Center is conducted, the computational results of which indicate the proposed method’s decision-making effectiveness. Finally, a comparison of the reasoning results between the proposed and traditional methods is performed, presenting strong evidence that demonstrates the reliability of the proposed method.

Modeling the dispersion of waves on a loaded bi-elastic cylindrical tube with variable material constituents

The present study analyzes the propagation of surface waves on a strongly inhomogeneous loaded bi-elastic cylindrical tube with variable material constituents. More precisely, due to the number of related physical applications, the exerted load is considered to be in favor of the Winkler elastic foundation. Further, analytical and approximation procedures of solution are beseeched to examine the model. The revealed results by two approaches are then graphically portrayed, which are then found to possess a high level of conformity. Finally, both the external load due to Winkler foundation d, and the internal material property b are found to oppose the propagation of surface waves in the media. In fact, the opposition deteriorates when both the dimensionless parameters d and b are greater than 0.5.

Research on Damage Mechanism and Mechanical Characteristics of Coal Rock under Water Immersion

This study aims to reveal the impact of immersion duration on the internal structural damage and mechanical property degradation of coal rocks. Coal rocks from the post-mining area of Liangshuijing Coal Mine were selected as the research subject. Physical and mechanical tests were carried out on these with different immersion durations (0 d, 15 d, 30 d, 60 d, 120 d, and 240 d) using scanning electron microscopy (SEM), nuclear magnetic resonance (NMR), acoustic emission (AE), digital image correlation (DIC), and compression testing, further elucidating the damage degradation mechanisms of water-immersed coal rocks. The research demonstrates that changes in the pore structure of coal rocks can be divided into two stages as the soaking time varies: the stage of water swelling (saturation process) and the stage of soaking damage (long-term immersion process). The water swelling stage of coal rock extends from surface drying and contraction to water swelling, and the soaking damage stage of coal rock extends from expansion to soaking damage. During the stage of soaking damage, the water showed dynamic changes from macropores to mesopores to micropores, with a gradual increase in the number of micropores. The AE count and cumulative count of coal rock decrease first and then increase, and the four stages’ acoustic characteristics and macroscopic characterization phenomena appear. The mechanical properties declined. After 240 d of immersion, the uniaxial compressive strength and elastic modulus decreased by 48.93% and 29.53%, respectively, and the plastic characteristics were enhanced. These research results provide a beneficial reference for understanding and predicting the instability and destruction of water-immersed coal rocks.

Transfer of religious property to religious organizations: problems and prospects

The article discusses some legal problems associated with the transfer of religious property, which is in state or municipal ownership, to religious organizations, and also suggests possible ways to solve them. Based on the analysis of the current legislation and materials of law enforcement practice, the shortcomings of legislative approaches to the definition of objects with a religious purpose that are subject to transfer to religious organizations are revealed. The authors note certain features of the essence and legal status of religious organizations, their internal structure and property regime. It is substantiated that these features should be taken into account when improving the normative regulation of relations related to the transfer of property of public legal entities to religious organizations. The peculiarities of their internal structure and ownership regime should also be taken into account. The opinion is expressed on the need to limit the range of religious organizations that can receive state and municipal property into ownership; on the expediency of adjusting the rules on the gratuitous use of religious property in connection with the special nature of the emerging relations. Particular attention is paid to the problematic aspects of the transfer of religious property belonging to the categories of cultural heritage objects and museum items to religious organizations.

Study of main factors influencing unsteady-state temperature drop in oil tank storage under dynamic thermal environment coupling

With the increasing oil demand, the construction of oil energy reserves in China needs to be further strengthened. However, given that there has been no research on the main influencing factors of crude oil temperature drop in storage tanks under actual dynamically changing environments, this paper considers the influence of dynamic thermal environment and internal crude oil physical properties on the fluctuating changes in crude oil temperature. A theoretical model of the unsteady-state temperature drop heat transfer process is developed from a three-dimensional perspective. According to the temperature drop variation law of crude oil storage tank under the coupling effect of various heat transfer modes such as external forced convection, thermal radiation, and internal natural convection, the external dynamic thermal environment influence zone, the internal crude oil physical property influence zone, and the intermediate transition zone of the tank are proposed. And the multiple non-linear regression method is used to quantitatively characterize the influence of external ambient temperature, solar radiation, wind speed, internal crude oil density, viscosity, and specific heat capacity on the temperature drop of crude oil in each influencing zone. The results of this paper not only quantitatively explain the main influencing factors of the oil temperature drop in the top, wall, and bottom regions of the tank, but also provide a theoretical reference for oil security reserves under a dynamic thermal environment.

Hierarchical active learning for defect localization in 3D systems

Aim: Advanced sensing and imaging is capable to retrieve rich information of complex systems, which can be integrated with underlying physics to develop a personalized simulation framework to discern system internal property for defect localization. Simulation-based defect localization involves modeling the heterogeneous 3D physical systems and calibrating spatial-varying model parameters. In this paper, we aim to develop an effective simulation-based active learning framework for defect localization in complex 3D systems. Methods: We develop a Hierarchical Gaussian Process (GP)-based Active Learning (HGPAL) framework to estimate the spatial-varying model parameters for reliable defect localization in complex 3D systems. We first develop a GP regression model on the 2D embedding of a 3D geometry to capture the geometric information. Second, we propose a Hierarchical GP-based active learning approach composed of master GP and sub-GP modeling to account for the system heterogeneity and further estimate the spatial-varying model parameter for defect localization. Results: We evaluate the performance of the proposed HGPAL framework in a 3D body-heart system to identify and localize infarct in the heart. Numerical experiments demonstrate the effectiveness of our HGPAL framework for 3D defect localization. Conclusion: This study successfully developed and tested an HGPAL framework for defect localization in complex 3D systems. The results suggest that this approach can efficiently and accurately localize defects in 3D systems, demonstrating its potential for practical applications in precision engineering system design and healthcare treatment planning.

WAYS OF RETURN OF EDUCATIONAL MIGRANTS, MINIMIZING LOSSES OF INTELLECTUAL CAPITAL AND INNOVATIVE POTENTIAL AS A RESULT OF THE WAR

Wars cause a number of socio-economic changes in the usual position of countries that have both instant effects and long-term influence on them. These changes include educational migration problems, intellectual capital losses, and innovative potential. The purpose of the article is to determine the necessary conditions for the return of educational migrants, minimizing the losses of intellectual capital and innovation potential due to the influence of war on the basis of the experiences of different countries. Scientific publications were investigated for the realization of the goal, which discussed the importance of adapting national institutions to the needs of the injured society, the role of human capital in ensuring international competitiveness in the postwar period, and the importance Use of intellectual potential to restore countries. In the course of the study, it was outlined that the encouragement of educational migrants to return can occur by creating the conditions of application of knowledge gained in different cultural environments, in practice, through the quality development of government and support of private institutions. In addition, measures were identified for the systematic restructuring of national science relations with society, government, and business to ensure the maximum benefit on its part for the development of the post-war economy. Particular attention was paid to the importance of the reintegration of military persons into civilian life. Given the modern vector of development of the world economy, an analysis of ways of minimizing the loss of intellectual capital and preserving innovative potential was carried out, taking into account the experience of the Russian-Ukrainian war and the development of Military Tech. It was also to consider the role of supporting the internal intellectual property market to stimulate the return of entrepreneurs to the country and to leave it. The importance of instant response to socio-economic changes to minimize their impact on the country, in the long run, is emphasized.

In-situ confinement of ultra-small NaYF4:Yb3+/Er3+ UCNPs as multifunctional ratiometric thermometer and optical heater

Lanthanide-doped upconversion (UC) nanomaterials with zero background auto-fluorescence are of extensive interest in optical fields. Here, a NaYF4:Yb3+/Er3+@Zr-UiO-66 nanostructure was prepared by simultaneously encapsulating NaYF4:Yb3+/Er3+ nanoparticles (NPs) and promoting the nucleation of UiO-66 under solvothermal condition. Traditional nanosize-surface induced defects and grain boundaries of NaYF4:Yb3+/Er3+ upconversion nanoparticles (UCNPs) were greatly minimized; enabling a highly efficient energy transfer confirmed by the prolonged fluorescence lifetime and enhanced UC emission of NaYF4:Yb3+/Er3+@Zr-UiO-66 nanocomposite. The optical thermometry property of nanocomposite was investigated based on the fluorescence intensity ratio (FIR) technique in the temperature range of 303–393 K. The maximum relative temperature sensitivities (Sr) were calculated to be 1.02 and 0.73% K−1 based on a pair of thermally coupled energy levels (TCLs) of (2H11/2 → 4I15/2, 4S3/2 → 4I15/2) and another pair of non-thermally coupled energy levels (NTCLs) of (2H11/2 → 4I15/2, 4F9/2 → 4I15/2), respectively. Besides, it exhibited effective internal optical heating property due to the thermal excitation between the two adjacent TCLs of 2H11/2 and 4S3/2 in NaYF4:Yb3+/Er3+ UCNPs as heated by increasing the laser power. This work demonstrates a feasible confined synthesis of NaYF4:Yb3+/Er3+@Zr-UiO-66 nanocomposite with extreme UC emitting performance, and it holds great potential acting as both ratiometric thermometer and optical heater for multifunctional applications.

Functions of the state in providing economic security

The article analyzes the latest research and publications on economic security. Three approaches to the definition of economic security are analyzed: functional, systemic, and combination (integrated).Approaches to the interpretation of the concept of the function of the State policy in the field of economic security are considered, and a definition of its essence is proposed. The main functions of the State in ensuring economic security are characterized.The article emphasizes that the ability of the economy to market self-organization should be supplemented and ensured by the state by developing rules of economic behavior. The purpose of state regulation and supervision is to optimize the level of economic security, which is aimed at the balance between savings and investment, ensuring macroeconomic stability, maintaining sustainable economic growth, creating economic and legal conditions for the functioning of business entities, and preventing offenses.It is substantiated that the set of specific economic relations is especially vividly and most fully reflected in the functions of economic security, which should be considered in a broad sense as strategic directions of the State’s activities aimed at ensuring resilience to external and internal threats, characterizing the ability of the national economy to expand self reproduction and meet the needs of citizens, society and the State at a certain level and time period, based on the regulatory and legal framework and implemented by the State.These include protective, regulatory, preventive, informational and control functions and the content of each of them is disclosed. Each of the functions reveals an internal property, signs and features of economic security, and also shows how its social purpose is realized as part of a single reproduction process. The division of functions is rather conditional, since they are carried out simultaneously, and certain features of one function are necessarily inherent in others.

Fabrication of high energy density symmetric polyaniline/functionalized multiwalled carbon nanotubes supercapacitor device with swift charge transport in different electrolytic mediums

This work is conducted with aim of enhancing the energy density and cycling performance of PANI/fMWCNTs within a very low molar concentration of the mixed acidic/neutral electrolyte where not only the medium, but the structure too facilitates easy charge transfer because of increased ionic mobility. A promising optimized flower-like morphology of symmetric supercapacitor electrode of functionalized Multi-walled Carbon Nanotubes (f-MWCNTs) with Polyaniline (PANI) composites are prepared by in-situ chemical oxidative polymerization method with different doping concentrations of f-MWCNTs (5 wt% and 10 wt%). The synthesized PANI/f-MWCNTs (5 wt%) composite provides a large surface area (133.55 m2/g), high porosity (11.24 nm), low internal resistance (6.16 Ω) and charge transfer property (2.74 Ω) between the electrode within a mixed (0.1 M H2SO4 + 0.1 M Na2SO4) electrolyte interface. To overcome the cracking/swelling of PANI during electrochemical performance, the electrodes of PANI are incorporated with different doping concentration of f-MWCNT (5 wt% or 10 wt%). With a specific capacitance of 867 F g−1 at 10 mV/s, energy density ~77.0 Whkg−1 and power density ~801 Wkg−1, PFC1 nanocomposite indicates ~20 % more stability than pure PANI. Also, the nanocomposite electrode cell shows a columbic efficiency of 97 % and 98.5 % of its initial value of specific capacitance after 10,000 GCD cycles in a mixed acidic/neutral (0.1 M H2SO4 + 0.1 M Na2SO4) aqueous electrolytic solution.

ЕТІОЛОГІЯ ЕФЕКТІВ ЗАСТОСУВАННЯ ЗАСАД ЕКОНОМІКО-МАТЕМАТИЧНИХ МЕТОДІВ І МОДЕЛЕЙ В ПАРАДИГМІ ЕКОНОМІЧНОЇ БЕЗПЕКИ ПІДПРИЄМСТВА

The article examines the cause-and-effect principles of economic and mathematical methods and models in the target organization of studying the economic security of an enterprise. It is noted that threats can be indirect in nature. Depending on the source of occurrence, they are divided intoobjective and subjective. Objective ones arise without the participation and without the will of the enterprise or its employees and do not depend on the management decisions made. At this stage of the research, economic and mathematical expert methods should be applied, which will allow to find out the most influential factors at a qualitative level. The second level concerns the determination of the quantitative assessment of threats to economic security. Appropriate evaluation should be carried out on the basis of multifactorial economic and mathematical modeling. Such a synthesis of qualitative and quantitative assessment of the economic security of the enterprise will allow, based on a systematic approach, to ensure the complexity of the study. Identification of threats involves the application of appropriate management. One of the main indicators of the effectiveness of management of the enterprise's economic security system is sustainability. It is noted that if the parameters of a complex system change within certain limits, the system is able to adapt. If the change exceeds the possibilities of its adaptive development, the stability of the system is lost. The adaptability of the enterprise's economic security system is not only its internal property, but also depends on the nature of disturbances in the external environment. Features of the management tasks of the enterprise's economic security system are highlighted, namely, as large-scale, weakly structured, weakly formalized, with high uncertainty both in the formulation and in the choice of initial data, criteria and the purpose of the decision; multi-linkage of system components and processes of its vital activity. In critical situations of violation of the management stability of the enterprise's economic security system, the principle of adaptation is applied. In case of crises (mild loss of stability), the situation may still lead to the collapse of the system for some time, but its functioning becomes extremely complicated. Emphasis is placed on the fact that the result of ensuring the economic security of the enterprise is considered to be the stability of its functioning, the profitability of the activity, and the personal safety of the staff.

Хронотоп войны начала XXI века: военно-философский аспект

Introduction. War as a social phenomenon has always been an object of philosophical reflection, since its results largely determine the further de- velopment of society and have a profound impact on all spheres of social life. In connection with the ongoing so-called special military operation which Russia is conducting in Ukraine and which is at the same time a proxy war of the collective West against our country, the modern philosophical discourse of war is clarified. One of the important aspects of the ontology of war is considering its chronotopos. The space-time factor has a signifi- cant impact on the course and outcome of hostili- ties in modern warfare, which makes its study very relevant. The purpose of the study is to describe the chrono- topos of modern warfare, to show the influence of the space-time factor on the course and result of hostilities. Methods. Being supporters of the relational concept of space and time, the authors consider the chronotopos of war as its internal attributive property. In addition, they rely on the methodology of synergetics, which makes it possible, in addition to the external universal space-time, to single out the internal space-time of open complex non-equi- librium systems. The authors apply structural-func- tional analysis to study material and ideal objects that influence the characteristics of space and time in modern warfare. They also use general scientific methods: abstraction, comparison, description and explanation. Scientific novelty of the research. The authors give characteristics of the war chronotopos at the beginning of the 21st century, and consider the tendencies of its changes. The necessity of taking into account spatio-temporal changes in planning and conducting hostilities in modern warfare is substantiated. Results. New means of warfare, as well as the cor- responding changes in tactics, operational art and strategy, will significantly reformat the chronoto- pos of war. The space of modern warfare is being radically transformed due to the fact that the confrontation simultaneously takes place not only on the plane, but also in the air, in space, under water, and even in social networks. New capabili- ties of strike systems are changing the perception of such characteristics of the war space as the front and rear. What was previously considered a deep safe rear, in the era of using missiles and combat drones, is no longer such. The time of war is also changing. An increase in the flight speed of ammu- nition, aircraft, and missiles increases the dynamics of battles and intensifies all processes on the bat- tlefield. Hypersonic systems are changing the pace of war, space satellites, reconnaissance drones and new technologies make it possible for the com- mander officer of the battle to see everything that happens on the battlefield in real time, regard- less of the distance from objects. Each new war is fought in its own space-time continuum. To win the war, all this must be taken into account. Conclusions. The chronotopos of war within the framework of the relational concept of space and time prevailing in modern philosophy is changing due to the emergence of fundamentally new means of warfare with new capabilities, which requires a significant adjustment in combat management, ensuring the adequacy of human behavior in war, training troops, taking into account the character- istics of the space-time continuum of a particular war, understanding on the part of the command staff of the essence of changes in the space and time of modern war. Old stereotyped ideas about the chronotopos of war can cause disorientation of a person on the battlefield, which requires not only a philosophical reflection of the ongoing spatio- temporal changes, but also the practical consid- eration of new knowledge in training troops, in planning and conducting combat operations.