Interaction Systems Research Articles

Broadband topology optimization of three-dimensional structural-acoustic interaction with reduced order isogeometric FEM/BEM

This paper presents a model order reduction method to accelerate broadband topology optimization of structural-acoustic interaction systems by coupling Finite Element Methods and Boundary Element Methods. The finite element method is used for simulating thin-shell vibration and the boundary element method for exterior acoustic fields. Moreover, the finite element and boundary element methods are implemented in the context of isogeometric analysis, whereby the geometric accuracy and high order continuity of Kirchhoff-Love shells can be guaranteed and meantime no meshing is necessary. The topology optimization method takes continuous material interpolation functions in the density and bulk modulus, and adopts adjoint variable methods for sensitivity analysis. The reduced order model is constructed based on second-order Arnoldi algorithm combined with Taylor's expansions which eliminate the frequency dependence of the system matrices. Numerical results show that the proposed algorithm can significantly improve the efficiency of broadband topology optimization analysis.

Investigation of polypharmacy, antimicrobial-related potential drug-drug interactions in patients with hematological malignancies.

Drug-drug interactions (DDIs) occur when one drug interferes with the pharmacological activity of another and can lead to increased side effects. The purpose of this study was to examine potential interactions between antimicrobials and other drugs in patients with hematological malignancies (HMs). The medications used by 233 patients with HMs before and during hospitalization in Ankara City Hospital Hematology Clinic services between January 2021 and July 2021 were examined. Potential DDIs (pDDIs) were identified through UptoDate, Drugs.com, and MedScape databases. The effects of major antimicrobial-related pDDIs on patients were examined. Agreement between the two interaction systems was judged based on the kappa test. SPSS R Version 4.0.2 was used in the statistical analysis of the data, p<.05 was considered significant. The prevalence of polypharmacy before hospitalization was determined as 22.7%. Diagnosed with acute leukemia and multiple myeloma, more antimicrobial-related pDDIs were detected during hospitalization (p<.001). A total of 758 antimicrobial-related pDDIs, which were in the major category in at least one of the three databases, were detected in 72.5% (169/233) of the participants. It was determined that the total hospitalization period of patients with major antimicrobial-related pDDIs was longer (p<.001). There was negligible agreement between UptoDate and Dugs.com and between Drugs.com and MedScape (kappa: 0.008 for both). There was no compatibility between UptoDate and MedScape (kappa<0). Interactions between antimicrobials and other drugs are undesirable problems. Further studies are required to evaluate the clinical and economic effects of the interactions on patients with HMs.

Theoretical aspects of strategic development subjects of the air transport industry

The methodological principles of studying systemic, strategic interactions of subjects in the air transport industry in conditions of global challenges are not just considered but emphasized for their crucial role in understanding and navigating the complexities of the industry. Peculiarities of the interaction between airlines and airports are determined, which is related to the specifics of the organizational and management support of this process, which include instability and dynamism of the air transportation market, significant degree of differentiation of air transport services by macro-regions; high level of competition between air carriers and significant market fluctuations; low competition among airports; multivariate combination and comprehensive use of the potential and competences of airlines and airports in the performance of passenger and cargo air transportation. The article substantiates the peculiarities of the interaction of the air transport industry entities related to the specifics of organizational and managerial support of this process. The functions, works, and services performed by the enterprises of the air transport industry in the interaction process and the functional division of the main activities by the responsibility of the performers - airlines and airports - are systematized. A methodical approach to the study of strategic interaction of air transport industry entities in the context of global challenges is proposed, consisting of a logical sequence of the following stages: analysis and evaluation of functional characteristics and competencies of airlines and airports; analysis of environmental factors; assessment of problems and advantages of strategic interaction of airlines and airports; substantiation of strategic principles of interaction between airlines and airports; study of strategic alternatives and decision-making. The advantage of the proposed approach is that it considers the specific features of organizational and managerial support for the interaction of industry players. The most acute problems of the strategic development of the air transport industry of Ukraine and promising areas of interaction between air carriers and airports in the context of global challenges are not just identified but highlighted to keep the audience informed and aware of the current state of the industry. Keywords: air transport industry, air carriers, airports, airlines, strategy, a system of interaction, systemic, strategic interaction, strategic development, global challenges.

Study on Gesture Recognition Method with Two-Stream Residual Network Fusing sEMG Signals and Acceleration Signals.

Currently, surface EMG signals have a wide range of applications in human-computer interaction systems. However, selecting features for gesture recognition models based on traditional machine learning can be challenging and may not yield satisfactory results. Considering the strong nonlinear generalization ability of neural networks, this paper proposes a two-stream residual network model with an attention mechanism for gesture recognition. One branch processes surface EMG signals, while the other processes hand acceleration signals. Segmented networks are utilized to fully extract the physiological and kinematic features of the hand. To enhance the model's capacity to learn crucial information, we introduce an attention mechanism after global average pooling. This mechanism strengthens relevant features and weakens irrelevant ones. Finally, the deep features obtained from the two branches of learning are fused to further improve the accuracy of multi-gesture recognition. The experiments conducted on the NinaPro DB2 public dataset resulted in a recognition accuracy of 88.25% for 49 gestures. This demonstrates that our network model can effectively capture gesture features, enhancing accuracy and robustness across various gestures. This approach to multi-source information fusion is expected to provide more accurate and real-time commands for exoskeleton robots and myoelectric prosthetic control systems, thereby enhancing the user experience and the naturalness of robot operation.

Optimizing Management and Service Systems in Higher Education: A Quantitative Examination of Data Imaging, Interaction Systems, and Decision Support for Informed Decision-Making and Performance Enhancement

Optimizing Management and Service Systems in Higher Education: A Quantitative Examination of Data Imaging, Interaction Systems, and Decision Support for Informed Decision-Making and Performance Enhancement

Game theory-based mandatory lane change model in intelligent connected vehicles environment

In the environment of intelligent connected vehicles, drivers are capable of making wiser and safer decisions. However, the interaction between drivers and vehicle systems has undergone changes in the intelligent connected vehicles environment, leading to a decrease in the applicability of existing microscopic driving models, such as the mandatory lane change model, which requires reevaluation or improvement. Therefore, to investigate the influence of different intelligent connected vehicles environments on the microscopic mandatory lane-changing model, this study developed three interaction systems to characterize different intelligent connected vehicles environments: the baseline, warning group, and guidance group. The Baseline provides basic information, the warning group adds icons of preceding vehicles and real-time headway information, while the guidance group further includes speed and voice guidance functions. The baseline describes the traditional environment, while the other two groups describe the intelligent connected vehicles environment. Using a self-developed intelligent connected vehicle testing platform, we conducted driving simulation experiments with 43 participants at the interchange merging area of a highway. This study, grounded in game theory, establishes function models for participants, strategies, and payoff functions in the mandatory lane-changing process. Utilizing data from driving simulation experiments, the parameters of the dual-layered planning model are calibrated. Evaluation of the constructed model is conducted through confusion matrices and lane-changing spatiotemporal characteristic indicators. The results demonstrate satisfactory predictive performance of the baseline group model, warning group model, and guidance group model across different intelligent connected vehicles environments. Specifically, compared to existing literature, the baseline group model exhibits improvements of 7 % and 2 % respectively in overall lane-changing detection accuracy by drivers. The warning group model shows improvements of 2.9 % and 1.7 %, while the guidance group model exhibits improvements of 5.1 % and 4.3 %. Additionally, the baseline group model reduces the mean absolute error in predicting different game strategies by 16.7 % and 5.6 % respectively compared to existing literature. Concerning lane-changing position prediction, the warning and guidance group models demonstrate minimal errors, whereas the baseline group model exhibits good consistency in predicting lane-changing duration. Furthermore, both the warning and guidance group models show some delay in predicting lane-changing duration. While intelligent connected vehicles environments significantly influence the prediction of lane-changing positions, they do not significantly affect the prediction of lane-changing duration. However, game strategies significantly impact the prediction of lane-changing duration but do not significantly affect the prediction of lane-changing positions. The study findings offer valuable insights into micro lane-changing behaviors of drivers in intelligent connected vehicles environments, bearing crucial significance for the in-depth investigation of real-time control and guidance strategies for vehicles in merge areas of highways under intelligent connected vehicles conditions.

Real-time multi-camera 3D human pose estimation at the edge for industrial applications

There is an increasing interest in exploiting human pose estimation (HPE) software in human–machine interaction systems. Nevertheless, adopting such a computer vision application in real industrial scenarios is challenging. To overcome occlusion limitations, it requires multiple cameras, which in turn require multiple, distributed, and synchronized HPE software nodes running on resource-constrained edge devices. We address this challenge by presenting a real-time distributed 3D HPE platform, which consists of a set of 3D HPE software nodes on edge devices (i.e., one per camera) to redundantly extrapolate the human pose from different points of view. A centralized aggregator collects the pose information through a shared communication network and merges them, in real time, through a pipeline of filtering, clustering and association algorithms. It addresses network communication issues (e.g., delay and bandwidth variability) through a two-levels synchronization, and supports both single and multi-person pose estimation. We present the evaluation results with a real case of study (i.e., HPE for human–machine interaction in an intelligent manufacturing line), in which the platform accuracy and scalability are compared with state-of-the-art approaches and with a marker-based infra-red motion capture system.

Socialization 2.5: Social Education in the era of Aggregator Platform

The article is devoted to the analysis of an urgent problem – the emergence and development of new phenomena in the field of Russian social education – children’s public organizations integrated into state macro-information systems. The “Movement of the First” is the most striking example of this kind, in which its digital and “living” human components are closely interconnected. The metaphor “Socialization 2.5” in the title of the article reflects the position of the authors that socialization under the conditions of the developing Internet environment in Russian conditions has already outgrown the distinctive features of “Web 2.0”, but has taken a different path than the proposed version of “Web 3.0”. The article argues the position according to which children’s public organizations (movements) engaged in social education are independent socio-technogenic factors. Organizations (movements) of this kind are a tool for removing, levelling the social and cultural characteristics of differentiated social groups and solving a number of other social, educational and cultural tasks. It is shown that the real conceptual model of the subject area of business processes of the “Movement of the First” (romanized: Dvizheniye pervykh – RDDM activities) is described in the language of economics, sociology, computer science, the language of business trainings adapted to a youth audience, but does not use the language of traditional Russian academic pedagogy. The article identifies a number of new problems of social education, which are a consequence of its development in conditions of integration with digital technologies: the inclusion of man-made components in the process of identifying a child with the movement, in acts of initiation (occupation of a certain status, including membership in the movement), in communication, the absolute absence of anonymity. Possible threats to the development of the children’s organization “Movement of the First” are noted as: a bias towards “virtualization” of the proposed activities, up to the replacement of activities in the physical world with its “digital footprint”, the risk of using exclusively formal indicators of movement development, the problem of motivating the activity of subjects, the problem of balance between the requests of movement participants and the “resource intensity” of the proposed “activities”. In the perspective, it can be assumed that the digital component of the movement will develop intensively, expanding the degree of automation, the use of artificial intelligence systems, which may lead to further deformation and adaptation of the system of social interactions within the movement to the possibilities of the digital environment. All named problems are a challenge in relation to the theory of social education and require serious research based on an appropriate methodological basis.

Management of corneal neovascularization: Current and emerging therapeutic approaches.

Corneal neovascularization (CoNV) is a sight-threatening condition affecting an estimated 1.4 million people per year, and the incidence is expected to rise. It is a complication of corneal pathological diseases such as infective keratitis, chemical burn, corneal limbal stem cell deficiency, mechanical trauma, and immunological rejection after keratoplasties. CoNV occurs due to a disequilibrium in proangiogenic and antiangiogenic mediators, involving a complex system of molecular interactions. Treatment of CoNV is challenging, and no therapy thus far has been curative. Anti-inflammatory agents such as corticosteroids are the mainstay of treatment due to their accessibility and well-studied safety profile. However, they have limited effectiveness and are unable to regress more mature neovascularization. With the advent of advanced imaging modalities and an expanding understanding of its pathogenesis, contemporary treatments targeting a wide array of molecular mechanisms and surgical options are gaining traction. This review aims to summarize evidence regarding conventional and emerging therapeutic options for CoNV.

A highly-sensitive wearable capacitance pressure sensor based on calcium copper titanate/polydimethysiloxane/graphene oxide and polydimethysiloxane/silver nanowires sanwich strustures combination for human body monitoring

In recent years, flexible pressure sensors, with their high sensitivity, low detection limit, wide working pressure range and fast response speed, have been playing an important role in the development of wearable artificial devices, human-computer interaction and healthcare systems, and have attracted wide attention. However, the pressure sensors face challenges related to the weak tightness of bipolar materials, low charge density, and limitation in dielectric layers. In this paper, we present a novel configuration of flexible capacitive pressure sensors, utilizing a polydimethysiloxane (PDMS) thin film covered by silver nanowires (PDMS/SN, PSN) as the electrode materials and a porous material composed of calcium copper titanate (@CCTO), PDMS and graphene oxide (GO)(@CCTO/PDMS/GO, @CPG) as the positive electrode material. The sacrificial material, sugar, is employed to create dense internal pores within the substrate material, @CPG, leading to the formation of a profoundly porous substrate. The integration of the flexible capacitive pressure sensor using @CPG/PSN results in enhanced output performance. The modified sensors achieves a sensitivity of 0.22 kPa−1, which is 7 times higher than that of a pure PDMS dielectric layer sensor. Moreover, the sensors has a response time of 87 ms, a low detection pressure of 5 Pa with an extensive detection range from 0 to 150 kPa, and are capable of enduring 7200 cycles without sustaining damage. To validate the practical performance of the @CPG/PSN sensor, various human body activities are detected, including swallowing, coughing, neck bending, wrist bending, elbow bending, finger flexing, and holding objects like cups using a digitally designed glove capable of accommodating different materials. The pressure sensor based on @CPG/PSN demonstrates significant promise in detecting both low and high pressures, thus expanding the potential applications of capacitive pressure sensors.

Intelligent Tribotronic Transistors Toward Tactile Near‐Sensor Computing

AbstractFor the next generation of human‐machine interaction (HMI) systems, the development of a tactile interaction unit with multimodal, high sensitivity, and real‐time perception and recognition is the key. Herein, an artificial tactile near‐sensor computing (ATNSC) unit based on a triboelectric tactile sensor and an organic synaptic transistor is reported. By introducing multi‐peak microstructures, the mechanical performance of the tactile sensor is optimized, showing a high sensitivity of 0.98 V kPa−1 in the pressure range of 0–10 kPa and maintaining 0.11 V kPa−1 at high pressures up to 350 kPa. Additionally, by designing stripe‐like convex structures on the top surface, the sensor is capable of bimodal perception in both pressure and sliding sensations. Furthermore, the organic synaptic transistor, which can be driven by tactile sensing stimuli in a variety of circumstances, is achieved utilizing an ion‐rich gelatin dielectric covered by a hydrophobic polymer coating layer. The ATNSC unit well demonstrates the stimuli‐dependent short‐term memory effect, and it enables tactile near‐sensor computing for feature action recognition in an HMI system, laying a solid foundation for the construction of intelligent interaction devices.

Тенденции развития и применения инструментария комплексных информационных систем управления человеческим капиталом в условиях импортозамещения

Under modern conditions, successful business functioning and development are determined not only by effective management of internal business processes and creating harmonious relationships with competitive external environment, but also by re-interpreting the value of the key corporate asset, that is, human capital. For quite a long time, the HR management contour in the system of interaction between employer and employee has been considered only from the point of view of accounting and settlement operations. They were the ones that were automated in traditional HR accounting and payroll information systems. However, at the present stage, the number and content direction of HR processes have significantly expanded and talent management, training, development and motivation of personnel have become a priority. In this regard, automated accounting of only quantitative indicators is insufficient for effective human capital management. HR automation systems are gradually replaced by comprehensive HR-tex solutions that automate all HR processes and refer to all sections of the HR cycle. The purpose of the study is to consider the evolution of HRM systems and their compliance with modern HR processes, and to analyze the state of domestic software market for their automation. The analysis showed that Russian market is currently experiencing an urgent need for integrated automation tools that provide functional coverage of all human capital management processes. It is fragmented and characterized by a fairly high level of maturity of accounting and settlement contour software products along with the patchwork nature of IT solutions that automate the quality indicators of HR processes. In this regard, the conducted research on the development of HRM systems, taking into account technological trends and business needs for integrated solutions, allowed systematizing information in the form of a model of a complex, integrated system, and formulating requirements for it. It was established that integrated HRM system has a modular character and it is advisable to form a set of customized functions to manage the development of human capital potential based on the needs of a particular business. The highlighted areas of HRM systems development can be used in elaborating of import-independent software products of this class, as well as by enterprises when choosing tools for automating HR processes.

Religious Moderation: An Analysis of Understanding, Internet and Social Media Exposure and Social Interaction Systems

&lt;p&gt;&lt;strong&gt;Introduction:&lt;/strong&gt; Religious moderation is launched because it concerns the order of life of the nation and state, where the internet and social media become a platform for any dynamic public discussion and change perspectives and practices in religious harmony. This study examines access to information about religious moderation through the internet and social media (WhatsApp, Instagram, Facebook, Twitter, Line) as the most widely used platforms in Indonesia and the influence of exposure to its content on understanding and the system of relational interaction among university students.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods:&lt;/strong&gt; Explanatory quantitative survey method with factor and regression analysis to explain the dominant factors and the magnitude of the influence of exposure to religious moderation content on students' understanding and interpersonal relationships.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Findings:&lt;/strong&gt; That student quite often access information about religious moderation on social media through WhatsApp and Instagram. Issues related to national commitment, tolerance, intolerance, violence, radicalism, government attitudes, regulations and their consequences, correlate with the dogmatism factor. The findings show that it is not easy to change one's religious beliefs, and this should be respected. So what remains is to find common ground and give a positive impression so that social interactions continue to run normally.&lt;/p&gt;&lt;p class="normal"&gt;&lt;strong&gt;Originality:&lt;/strong&gt; The research presents a novelty in the perspective of communication science on the understanding of religious moderation and its correlation with the interpersonal interaction system in students from non-religious campuses. Where previously religious moderation was widely studied in the perspective of language, civilization, humanity, culture, education and with subjects from religious campuses, especially Islam.&lt;/p&gt;

Community Structure, Drivers, and Potential Functions of Different Lifestyle Viruses in Chaohu Lake.

Viruses, as the most prolific entities on Earth, constitute significant ecological groups within freshwater lakes, exerting pivotal ecological roles. In this study, we selected Chaohu Lake, a representative eutrophic freshwater lake in China, as our research site to explore the community distribution, driving mechanisms, and potential ecological functions of diverse viral communities, the intricate virus-host interaction systems, and the overarching influence of viruses on global biogeochemical cycling.

Application of IoT audio technology based on sensor networks in English speaking teaching system

In the era of information technology, the exponential growth of data volume has compelled users to entrust their data to database service providers for efficient management. While traditional methods such as user authentication, security auditing, and access control have been implemented to safeguard data security across databases, cloud servers may face security challenges due to excessive internal administrator permissions. The audio technology of the Internet of Things (IoT) offers numerous advantages, including high bandwidth, short data transmission time, long transmission distance, and cost-effectiveness. It has found widespread applications in military, technological, industrial, and everyday life settings. With the advancements in modern information technology and the development and enhancement of wireless radio frequency technology in the IoT sector, IoT-based wireless audio interaction systems utilizing Wi-Fi have gradually become integrated into people's lives. These systems have enriched people's daily experiences and are increasingly popular among consumers. This paper, based on the theory of functional applied linguistics, combs the basic theoretical framework and the practical application prospect of functional Applied Linguistics of systemic language, especially emphasizes the important influence and application enlightenment of systemic functional linguistics on language teaching, and combines the "Recent Development Zone" The basic concepts of contemporary language and literature education, such as scaffolding, are summarized and analyzed. The paper establishes a comprehensive theoretical research framework for college spoken English teaching, and through the comprehensive theoretical analysis of communicative teaching methods and practical exploration of some problems that students may appear, it puts forward more effective and targeted specific solutions.

Современное состояние заболеваемости и диагностики меланомы и других злокачественных новообразований кожи в Российской Федерации и Уральском федеральном округе

The article presents the current epidemiological situation of melanoma and other skin malignancies in the Russian Federation. A comparative analytical study of the state of early diagnosis, organization of medical care for the identification of patients with melanoma and other malignant skin neoplasms in the Russian Federation and six subjects of the Ural Federal District was conducted. To improve the indicator of active detection of patients with melanoma of the skin, especially in the early stages, it is necessary to create a system of interaction between doctors of primary contact with the patient and the oncological service, the formation of cancer awareness among doctors of all specialties, as well as among the population.

Investigation of the properties of photonic crystal resonant cavities based on valley spin reversal

Resonators have been treated as essential elements in optics because of their capacity to store and enhance light and exhibit a wide range of applications such as semiconductor lasers and optical communication components. In this article, we reveal a new mechanism of light field confinement in an optical cavity composed of different valley photonic crystals. The electromagnetic field of light is localized because of the valley spin states contrasted between the inner and outer regions, which leads a high Q-factor and a small model volume of the resonator. Furthermore, the whispering-gallery-mode modulated vortex phase distribution is demonstrated in the proposed structure, which offers a new method for manipulating the light field. The energy spectrum as well as the light field distributions show the simultaneous appearance of both bulk and edge states. Such effect becomes pronounced or diminished when the domain wall changes, and can be explained by the location of the edge states in the shared bandgap. Our findings offer a novel mechanism of light field confinement and phase modulation, which may pave the way for a new type of topological device and provide broad applications in the areas of micro-lasers, optical communications, and other light-matter interaction systems.

Action capture and VR interactive system for online experimental teaching

The development of technology has intensified people’s interest in virtual reality technology. Virtual reality technology is also widely used in fields such as teaching and healthcare. To improve the real-time and operability of virtual reality interaction systems, a motion capture and virtual reality interaction system design for online experimental teaching is proposed. The active apparent model is used for facial feature point localization, and the joint capture method is improved by combining threshold segmentation and forward kinematics algorithms. Experimental data confirms that compared to Kinect method, the improved hand joint detection method has higher joint positioning accuracy, with a loss rate of less than 40 % for hand joints. The average judgment accuracy of the six facial expression tests is 82 %, 81 %, 79 %, 78 %, 80 %, and 81 %, respectively. The comprehensive recognition accuracy of facial expression recognition is 80.17 %. The read, write, and update times for each frame of the virtual reality interaction system are 102.6 ms and 427 ms, respectively. The system memory usage is 920.5 M, and the CPU and GPU usage rates are 25.2 % and 4.4 %, respectively. The system can run smoothly. The virtual reality system can run continuously for 24 h, with strong operability and low difficulty in expanding system functions, achieving design goals.

Reconstructing the evolution history of networked complex systems

The evolution processes of complex systems carry key information in the systems’ functional properties. Applying machine learning algorithms, we demonstrate that the historical formation process of various networked complex systems can be extracted, including protein-protein interaction, ecology, and social network systems. The recovered evolution process has demonstrations of immense scientific values, such as interpreting the evolution of protein-protein interaction network, facilitating structure prediction, and particularly revealing the key co-evolution features of network structures such as preferential attachment, community structure, local clustering, degree-degree correlation that could not be explained collectively by previous theories. Intriguingly, we discover that for large networks, if the performance of the machine learning model is slightly better than a random guess on the pairwise order of links, reliable restoration of the overall network formation process can be achieved. This suggests that evolution history restoration is generally highly feasible on empirical networks.

Cerebral-cognitive reserve: concept and functions of the cerebral-cognitive reserve

IntroductionThe modern understanding of AD allows us to consider it through the constructs of “vulnerability” and “stability” of the brain as a dynamic system of dialectical interaction between the pathogenic process and the protective process that prevents neurodegeneration. The concept of cognitive reserve (CR) is based on observations of discrepancy between the degree of brain pathology and the severity of clinical manifestations. The concept of “reserve” was proposed to describe the resistance of the brain to a developing damage caused by a pathological process. Stern (2002) considered CR as a protective factor that modifies the impact of brain pathology on cognitive function. The researchers have defined CR as an ability to optimize cognitive function through differential involvement of structures or neural networks of the brain into brain activity.ObjectivesA systematic review of scientific studies has been conductedMethodsThe review includes an analysis of full-text literature sources.ResultsSeveral possible directions of CR influence on cognitive functions have been described:1)CR may reduce the risk of MCI or dementia through mechanisms, which do not depend on the level of neurodegenerative pathological changes in the brain.2)CR can interact with the markers of brain pathology or healthaffectingthe future cognitive decline or risk of progression. It has been found that smaller volumes or thickness in some AD vulnerable areas of the brain represent a stronger risk factor for cognitive impairment in people with low CR than in people with higher CR. CR protective effects on clinical outcomes reduce as the number of damaged neurons increases.3)The protective effect of CR increasesduring late AD onset and at a low rate of the damaged substrate accumulation.4)CR changes the relationship between genetic factors and aging withclinical and cognitive outcomes. The relationship between age and AD pathology level or age-related structural changes in the brain may weaken in people with higher CR ConclusionsThe concept of cerebral-cognitive reserve actualizes the problem of the search for compensatory mechanisms of cognitive deficit in AD, the assessmentof the structure of the reserve, the development and implementationof programs to maintain the reserve, the preventionof its depletion, starting from the preclinical stage of the disease, which can prevent the transformation of preclinical manifestations of AD into cognitive disordersDisclosure of InterestNone Declared