Analytics Evolution in Management and Development of Social Systems (Subjective Approach)

DOI: 10.33917/es-2.206.2026.68-77

The article analyzes evolution of ideas about analytics in the social systems’ management and development in relation to evolution of scientific paradigms (classical, non-classical, post-non-classical) and to the cybernetics evolution (first, second, third and fourth order). The author substantiates an interdisciplinary trend of increasing the role of subjective approach, which becomes the basis for modern perceptions of analytics. Four interrelated analytical paradigms are identified: external observer analytics, reflexive analytics, ontological analytics and meta-subjective analytics. Possibilities and limitations of each paradigm are discussed, examples from various fields of practice, including economics, are provided as well.

References:

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A systems approach to management in the era of artificial intelligence

DOI: 10.33917/es-2.206.2026.62-67

The article examines the problems of using a systems approach in modern management. Despite its recognized value, its widespread use is constrained by a key problem — the difficulty of developing systems thinking in managers. The authors note that only a small part of the developed strategies is implemented in practice, which is directly related to the deficit of this type of thinking. As a solution, it is proposed to use artificial intelligence (AI) tools that do not replace, but significantly enhance human cognitive abilities. The article contains a specific proposal for creating an ecosystem of AI assistants consisting of five interconnected modules. It is concluded that AI acts as the very “lever” that allows us to overcome the elitism of the systems approach and realize its potential in mass management practice.

References:

1. Pitersen V. Strategiya kak obuchenie: Novyy vzglyad na protsess sozdaniya tsennosti i bor’by za konkurentnoe preimushchestvo [Strategy as Learning: A New Look at Value Creation and Competitive Advantage]. Moscow, Intellektual’naya Literatura, 2020.

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9. Druker P. Praktika menedzhmenta [Management Practice]. Moscow, Mann, Ivanov i Ferber, 2015, 416 p.

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11. Mintsberg G., Al’strand B., Lampel’ Zh. Strategicheskoe safari: Ekskursiya po debryam strategicheskogo menedzhmenta [Strategic Safari: A Journey Through the Wilds of Strategic Management]. Moscow, Al’pina Pablisher, 2013, 367 p.

Sustainability of the Power Institutions under Conditions of the Counteraction Centers Activity

DOI: 10.33917/es-2.206.2026.6-13

Strengthening of the vertical structure of federal governance in our country in recent years has encountered resistance in a number of Russian regions, which still remains latent. The article, based on general systems theory, proposes measures to maintain stability of the political regime’s power institutions in the face of active counteraction centers: control of financial and commodity flows, transport and communication channels that allows to cut off supply of resources to destructive forces, block their interaction within a region, between regions and with foreign control and support centers, preserving the possibility of the federal center to operate on sentiments of the local elites and large groups of population.

References:

1. Ageev A.I., Bakhtizin A.R., Makarov V.L., Loginov E.L., Khabriev B.R. Ekonomicheskiy fundament pobedy: strategicheskiy prognoz ustoychivosti ekonomiki Rossii v usloviyakh sanktsionnykh atak [Economic Foundation of Victory: a Strategic Forecast for the Russian Economy Stability in the Face of Sanctions]. *Ekonomicheskie strategii,* 2023, vol. 25, no 3(189), pp. 6—15, DOI: https://doi.org/10.33917/es-3.189.2023.6-15

2. Ageev A.I., Grabchak E.P., Loginov E.L. Novaya model’ upravleniya ekonomikoy Rossii v usloviyakh gibridnykh riskov i ugroz [New Model of the Russian Economy Management in the Context of Hybrid Risks and Threats]. *Ekonomicheskie strategii,* 2025, vol. 27, no 5(203), pp. 6—19, DOI: https://doi.org/10.33917/es-5.203.2025.6-19

3. Loginov E.L., Matveev A.G., Shkuta A.A. Opredelenie parametrov lokalizovannykh sostoyaniy neyavnykh grupp s sobstvennoy komponentoy aktivnogo povedeniya, ne sovpadayushchego s vektorom deystviy gosudarstvennoy supersistemy [Determination of the Parameters of Localized States of Implicit Groups with Their Own Component of Active Behavior That does not Coincide with the Vector of Actions of the State Supersystem]. *Iskusstvennye obshchestva,* 2019, vol. 14, no 1, p. 5.

4. Loginov E.L. Ispol’zovanie tekhnologiy Big Data dlya protivodeystviya massovym besporyadkam v usloviyakh nedostatka informatsii i neopredelennosti razvitiya situatsii: Iskusstvennyy intellekt (bol’shie dannye) na sluzhbe politsii: Sb. statey Mezhdunarodnoy nauchno-prakticheskoy konferentsii [Using Big Data Technologies to Counter Mass Unrest in Conditions of Information Shortage and Uncertainty of the Situation Development: Artificial Intelligence (Big Data) in the Service of the Police: Collection of Articles from the International Scientific and Practical Conference]. M.: Akademiya upravleniya Ministerstva vnutrennikh del Rossiyskoy Federatsii, 2020. S. 145—150.

5. Loginov E.L. Perekhvat upravleniya slozhnymi organizatsionnymi sistemami v usloviyakh razmyvaniya granits mezhdu fizicheskimi, kognitivnymi i tsifrovymi prostranstvami deyatel’nosti i sredami upravleniya [Taking Control of Complex Organizational Systems in the Context of Blurring Boundaries between Physical, Cognitive, and Digital Activity Spaces and Management Environments]. *Ekonomika: teoriya i praktika,* 2024, no 1(73), pp. 3—10.

Monitoring the work of clusters of organizational and economic agents in a distributed network of control centre’s in the economy of the Union State

DOI: 10.33917/mic-2.127.2026.5-11

The article examines the challenges of maintaining clusters of organizational and economic agents using a digital «twin» of the organizational and economic agent, operating within a distributed network of control centers to ensure the sustainability of digital institutional management structures within the economic supersystem of the Union State of Russia and Belarus.

References:

1. Ageev A.I., Bakhtizin A.R., Makarov V.L., Loginov E.L. [et al.] The economic foundation of victory: a strategic forecast of the stability of the Russian economy in the face of sanctions attacks. Economic strategies. 2023;25(3(189)):6-15.

2. Ageev A.I., Bochkarev O.I., Grabchak E.P., Loginov E.L. Network-centric system of increased survivability of Russian energy management in difficult-to-predict critical conditions. Economic strategies. 2021;23(3(177)):6-17.

3. Ageev A.I., Loginov E.L. The world community in conditions of supercritical bifurcation / Management of complex organizational and technical systems in conditions of supercritical situations: Proceedings of the international scientific and practical conference, Moscow, April 21-22, 2022. Moscow: Institute of Economic Strategies, 2022. pp. 9-12.

4. Ageev A.I. The role of sanctions, conflicts and special operations: reflections on the future. Part 1. Scientific Bulletin of the Russian Military-industrial complex. 2023;4:66-74.

5. Ageev A.I., Grabchak E.P., Loginov E.L. Russia in a supercritical situation: managing the restoration of life support functions to overcome the consequences of a natural disaster. Economic strategies. 2021;23(5(179)):28-35.

6. Ageev A.I., Loginov E.L. Strategic predestination of special military operations in the global supersystem. Economic strategies. 2023;25(4(190)):6-19.

7. Ageev A.I., Grabchak E.P., Loginov E.L. The use of artificial intelligence in the implementation of military command and control of civilian facilities as a single hybrid battlefield / Neurocomputers and their application: Abstracts of the XX All-Russian Scientific Conference, Moscow, March 22, 2022 Moscow: MGPPU, 2022. pp. 31-33.

8. Glazyev S.Y., Arkhipova V.V. Assessment of the impact of sanctions and other crisis factors on the state of the Russian economy. Russian Economic Journal. 2018;1:3-29.

9. Golublev A.A., Abramov V.I., Loginov E.L., Shkuta A.A., Doholyan A.S., Loginova V.E., Evdokimov D.S. Operation of human behavior in the state and society based on agent-based modeling using neural encoding of cognitive information. Artificial societies. 2019;14(3):1.

10. Grabchak E.P., Loginov E.L. The use of supercomputer technologies for managing fuel and energy resources transportation systems / Actual problems of scientific knowledge. New technologies of the Fuel and Energy Complex-2024: Proceedings of the VIII International Scientific and Practical Conference, Tyumen, April 26-27, 2024. Tyumen: Tyumen Industrial University, 2024. pp. 169-172.

11. Loginov E.L. Ensuring the safety and stability of complex organizational systems in conditions of natural and man-made electromagnetic influences. Moscow: Scientific Library Publishing House, 2024. 364 p.

Complementarity of Research Approaches to Studying Chinese Schools in Human Resources Management

DOI: 10.33917/es-1.205.2026.24-31

The aim of the present study is to form the value foundations for methodology of the paradigms compatibility of society and its subsystems. Complementary types of value theories and dual understanding of values are analyzed. The article explores the common values of social paradigms, including sustainable development, social justice, inclusiveness, equality and the human rights protection. The influence of various values on functioning of the society development paradigms is studied. Necessary set of aspects of the value foundations for a methodology of the social paradigms compatibility is developed and structural framework for compatibility of paradigms across social spheres is constructed.

References:

1. Fuko M. Arkheologiya znaniya [Archeology of Knowledge]. Saint Petersburg, Gumanitarnaya akademiya, 2024, 416 p.

2. Perelomov L.S. Konfutsiy “Lun’ Yuy” [Confucius’s Analects]. Moscow, Vostochnaya literatura, 2001, 180 p.

3. Guan’-tszy. Drevnekitayskaya filosofiya [Ancient Chinese Philosophy]. Sobr. tekstov: V 2 t., vol. 2, Moscow, Mysl’, 1973, 384 p.

4. Ma Czin’czjun’. Trudovye resursy v sovremennom Kitae: razvitie i racional’noe upravlenie: dis. … kand. sociol. nauk [Labor Resources in Modern China: Development and Rational Management: diss. … Cand. of Sociological Sciences]. VAK RF 22.00.08, 2004. 169 s.

5. Laotszy. Obresti sebya v Dao [Finding Yourself in Dao]. Sost., avt. predisl., perevod, komment. I.I. Semenenko. Moscow, Respublika, 1999, 445 p.

6. Khan’ Fey-tszy. Kniga zakona i poryadka. Sovety razumnomu pravitelyu [The Book of Law and Order: Advice to a Wise Ruler]. Per. A.I. Ivanov; Red. D.O. Khvostova. Moscow, Tsentrpoligraf, 2019, 287 p.

7. Khegi D. Iskusstvo voyny v illyustratsiyakh. Klassicheskiy traktat Sun’-tszy v diagrammakh i grafikakh [The Art of War Illustrated: Sun Tzu’s Classic Treatise in Diagrams and Graphs]. Moscow, Mann, Ivanov i Ferber, 2015, 264 p.

8. Gusserl’ E. Idei k chistoy fenomenologii i fenomenologicheskoy filosofii. Kniga tret’ya. Fenomenologiya i osnovy nauk [Ideas Toward a Pure Phenomenology and Phenomenological Philosophy. Book Three. Phenomenology and the Foundations of Science]. Kaliningrad, BFU imeni I. Kanta, 2024, 231 p.

9. Khaydeger M. Osnovnye problemy fenomenologii [The Main Problems of Phenomenology]. Saint Petersburg, Vysshaya religiozno-filosofskaya shkola, 2001, 456 p.

10. Polan’i K. Velikaya transformatsiya: proshloe, nastoyashchee i budushchee [The Great Transformation: Past, Present, and Future]. Moscow, GU VShE, 2006, 321 p.

11. Merlo-Ponti M. Fenomenologiya vospriyatiya [Phenomenology of Perception]. Moscow, Bukinist, 1996, 606 p.

12. Vinogradov A.V. Kitayskaya model’ modernizatsii. Poiski novoy identichnosti [The Chinese Model of Modernization: The Search for a New Identity]. Moscow, Pamyatniki istoricheskoy lichnosti, 2005, 334 p.

Countering Coups D’etat and Attempts to Forcefully Seize the Power in the Russian Federation

DOI: 10.33917/es-1.205.2026.14-23

Attempts to violently seize the power in post-Soviet states can be reduced to operation of complex organizational systems, which means that adaptive application of general principles and tools for managing such systems is possible. It is necessary to analyze such processes from scientific point of view and proactively plan measures or better yet, systemic mechanisms, to counter these processes, which will ensure the stability of public administration at various levels of hierarchy and administrative infrastructure of the Russian Federation.

References:

1. Ageev A.I. Rol’ sanktsiy, konfliktov i spetsoperatsiy: razmyshleniya o budushchem. Chast’ 2 [The Role of Sanctions, Conflicts, and Special Operations: Reflections on the Future. Part 2]. Nauchnyy vestnik oboronno-promyshlennogo kompleksa Rossii, 2024, no 1, pp. 33–42.

2. Ageev A.I., Grigor’ev V.V., Loginov E.L. Kvantovye simulyatory kak instrument nablyudaemosti tsifrovoy supersistemy s sushchestvennoy komponentoy nepredskazuemogo povedeniya ee elementov [Quantum Simulators as a Tool for Observability of a Digital Supersystem with a Significant Component of Unpredictable Behavior of its Elements]. Mikroekonomika, 2024, no 5, pp. 5–13.

3. Lyuttvak E. Gosudarstvennyy perevorot: Prakticheskoe posobie [Coup d’État: A Practical Handbook]. Moscow, Russkiy fond sodeystviya obrazovaniyu i nauke, 2015, 326 p.

4. Abramov V.I., Loginov E.L. Agentno-orientirovannye podkhody k analizu i prognozu politicheskikh nastroeniy v obshchestve i postroeniyu mekhanizmov korrektirovki polozhitel’nykh i otritsatel’nykh reaktsiy na sotsial’no-politicheskie situatsii: Rossiya v XXI veke: global’nye vyzovy i perspektivy razvitiya: Materialy Sed’mogo Mezhdunarodnogo foruma [Agent-based Approaches to the Analysis and Forecasting of Political Sentiment in Society and the Development of Mechanisms for Adjusting Positive and Negative Reactions to Socio-political Situations: Russia in the 21st Century: Global Challenges and Development Prospects: Proceedings of the Seventh International Forum]. Moscow, IPR RAN, 2018, pp. 373–376.

5. Ageev A.I., Loginov E.L. Modelirovanie protsessov obespecheniya ustoychivosti gosudarstvennykh organizatsionnykh sistem k popytkam zakhvata vlasti identifitsirovannym i neidentifitsirovannym protivnikom [Modeling the Processes of Ensuring the Resilience of State Organizational Systems to Attempts to Seize Power by an Identified and Unidentified Enemy]. Mikroekonomika, 2025, no 3, pp. 5–14.

6. Loginov E.L. Perekhvat upravleniya slozhnymi organizatsionnymi sistemami v usloviyakh razmyvaniya granits mezhdu fizicheskimi, kognitivnymi i tsifrovymi prostranstvami deyatel’nosti i sredami upravleniya [Taking Control of Complex Organizational Systems in the Context of Blurring Boundaries between Physical, Cognitive, and Digital Activity Spaces and Management Environments]. Ekonomika: teoriya i praktika, 2024, no 1(73), pp. 3–10.

7. Loginov E.L., Matveev A.G., Shkuta A.A. Opredelenie parametrov lokalizovannykh sostoyaniy neyavnykh grupp s sobstvennoy komponentoy aktivnogo povedeniya, ne sovpadayushchego s vektorom deystviy gosudarstvennoy supersistemy [Determination of the Parameters of Localized States of Implicit Groups with Their own Component of Active Behavior That does not Coincide with the Vector of Actions of the State Supersystem]. Iskusstvennye obshchestva, 2019, vol. 14, no 1, p. 5.

Overlapping long-term demographic trends with geopolitical shocks in a challenging economic environment

DOI: 10.33917/mic-1.126.2026.5-11

The article examines the problems of configuring long-term demographic trends in the context of geopolitical shocks with a focus on increasing the operational array of human (bio-social) and resource-consumption (material and non-material) factors as elements of a socio-economic supersystem with a significant component of difficult-to-predict development. The paper analyses the problems of maintaining viability of the state as a supersystem. The authors substantiate a direction of the regulatory vector for the developed profiles of operational indicators depending on different population structures as a predictable phenomenon – a baseline from which to build on the factors stimulating demographic basis for the state’s viability. The main objective is to support transition of the human resource provision for the armed forces (in the context of the Special Military Operation) and production structures in various sectors of the economy from a cluster of difficult-to-predict development (instability) into a cluster with confirmed available opportunities for replenishing military personnel and key industries workers (primarily defence and critical infrastructure) as a computation solution in relation to the macro-space of operated indicators.

References:

1. Ageev A.I., Bakhtizin A.R., Makarov V.L., Loginov E.L. [et al.]. The economic foundation of victory: a strategic forecast of the stability of the Russian economy in the face of sanctions attacks. Economic strategies. 2023;25(3(189)):6-15.

2. Ageev A.I., Bochkarev O.I., Grabchak E.P., Loginov E.L. Network-centric system of increased survivability of Russian energy management in difficult-to-predict critical conditions. Economic strategies. 2021;23(3(177)):6-17.

3. Ageev A.I., Loginov E.L. The world community in conditions of supercritical bifurcation / Management of complex organizational and technical systems in conditions of supercritical situations: Proceedings of the international scientific and practical conference, Moscow, April 21-22, 2022. Moscow: Institute of Economic Strategies, 2022. pp. 9-12.

4. Ageev A.I. The role of sanctions, conflicts and special operations: reflections on the future. Part 1. Scientific Bulletin of the Russian Military-industrial complex. 2023;4:66-74.

5. Ageev A.I., Grabchak E.P., Loginov E.L. Russia in a supercritical situation: managing the restoration of life support functions to overcome the consequences of a natural disaster. Economic strategies. 2021;23(5(179)):28-35.

6. Ageev A.I., Loginov E.L. Strategic predestination of special military operations in the global supersystem. Economic strategies. 2023;25(4(190)):6-19.

7. Ageev A.I., Grabchak E.P., Loginov E.L. The use of artificial intelligence in the implementation of military command and control of civilian facilities as a single hybrid battlefield / Neurocomputers and their application: Abstracts of the XX All-Russian Scientific Conference, Moscow, March 22, 2022. Moscow: MGPPU, 2022. pp. 31-33.

Management Factor of Scientific Resources in Providing Sustainable Economic Development of High-Tech Industrial Enterprises

DOI: 10.33917/es-6.204.2025.90-99

Development of domestic enterprises producing high-tech products today is a key element in strengthening the country’s defence capability and the innovation potential of its economy. In the face of modern challenges high-tech technologies, scientific potential and highly qualified management resources of high-tech industrial enterprises are becoming the most important factors in Russia’s economic stability and security. The article examines management factor of the scientific resource of high-tech enterprises as one of the progressive potential foundations of sustainable economic development of Russia in modern conditions.

References:

1. Lopatnikov A.I. Ekonomiko-matematicheskiy slovar’: Slovar’ sovremennoy ekonomicheskoy nauki [Economic and Mathematical Dictionary: Dictionary of Modern Economics]. Moscow, Delo, 2003, 680 p.

2. Shkut’ko A. Teoriya pokoleniy po godam: A, Z, Y, X i bebi-bumery [Generational Theory by Year: A, Z, Y, X, and Baby Boomers]. Khalva-Media, 2024, 27 iyunya, available at: https://media.halvacard.ru/life/teoriya-pokolenii-po-godam#h_35721781529931719502001962

3. Astashova Yu.V. Teoriya pokoleniy v marketing [Theory of Generations in Marketing]. Vestnik YuUrGU. Seriya: Ekonomika i menedzhment, 2014, no 1, p. 108.

4. Mironova O.A. Teoriya pokoleniy kak fundament novoy paradigmy upravleniya chelovecheskimi resursami v usloviyakh postindustrializatsii ekonomiki [Theory of Generations as the Foundation of a New Paradigm of Human Resource Management in the Context of Post-Industrialization of the Economy]. Uchenye zapiski Sankt-Peterburgskogo imeni V.B. Bobkova filiala Rossiyskoy tamozhennoy akademii, 2020, no 1(73), p. 73.

5. Potekhin N.A., Potekhin V.N. O teorii marketinga novogo pokoleniya [On the Theory of Marketing of the New Generation]. AVU, 2015, no 9(139), p. 87.

6. Mishin S.I. Metodika upravleniya povedeniem potrebitelya [Methodology of Consumer Behavior Management]. Kreativnaya ekonomika, 2012, no 9(69), pp. 89–95.

7. Glavatskikh O.B., Sokolova I.H. Problemy i tendentsii innovatsionnogo razvitiya vysokotekhnologichnykh predpriyatiy v usloviyakh tsifrovoy ekonomiki: Aktual’nye voprosy ekonomiki i finansov: Sb. statey II Mezhdunarodnoy nauchno-prakticheskoy konferentsii [Problems and Trends of Innovative Development of High-Tech Enterprises in the Digital Economy: In the Collection: Current Issues of Economics and Finance: Collection of Articles of the II International Scientific and Practical Conference]. Izhevsk, 2022, pp. 140–153.

8. Global’nyy dogovor OON [The UN Global Compact]. UN, available at: unglobalcompact.org

9. Blyum M.A. Tsifrovoe predpriyatie: novye tekhnologii — novaya organizatsiya biznesa [Digital Enterprise: New Technologies — a New Business Organization]. Vestnik nauchnykh konferentsiy, 2020, no 10-1(62), pp. 17–20.

10. Goncharova N.A., Makarova N.E., Sutulova Yu.O. Tsifrovye transformatsii v sfere upravleniya personalom [Digital Transformations in the Field of Personnel Management]. Nauka i biznes: puti razvitiya, 2023, no 6(144), pp. 109–111.

Digital technologies for operating the information activity of a subject based on artificial intelligence elements

DOI: 10.33917/mic-6.125.2025.5-11

The article dwells on the use of digital technologies for operating in the information sphere the activity of the subject of information relations based on the elements of artificial intelligence. The authors present an information technology for adapting individually oriented information messages generated by artificial intelligence services (semantic blocks), taking into account the personality characteristics, identified during observation, and formation of adapted messages that interpret events to set the vector of individualized logic for choosing a actions chain of the subject of information relations in the context of a complex epidemiological situation. It is proposed to provide digital support of information services for a configurable model of targeted development and targeted delivery of adapted packages of information messages to a consumer – a process with an expanded NLP component, in relation to the information picture of reality, a constantly reproducible action within the framework of information activities.

References:

1. Ageev A.I., Grabchak E.P., Loginov E.L. Using Supercomputer Technologies to Manage the Operations of Very Large Organizational Systems in the Implementation of Complex Special Projects (Operations). Microeconomics. 2024;1:5–10.

2. Ageev A.I., Grigoriev V.V., Loginov E.L. Quantum Simulators as a Tool for Observability of a Digital Supersystem with a Significant Component of Unpredictable Behavior of Its Elements. Microeconomics. 2024;5:5–13.

3. Ageev A.I., Loginov E.L., Ziyadinov A.S., Ziyadinov D.S. Key Trends in the Development of Artificial Intelligence in the Global Economy. Microeconomics. 2025;4:5–18.

4. Ageev A.I., Loginov E.L. Modeling the Processes of Ensuring the Resilience of State Organizational Systems to Attempts to Seize Power by an Identified and Unidentified Adversary. Microeconomics. 2025;3:5–14.

5. Ageev A.I., Loginov E.L. Selection and Training of Personnel for Structures with Critical Cognitive and Psychological Loads in Complex Special Situations (Operations). Economic Strategies. 2024;26(2 (194)):78–87.

6. Loginov E.L. Digital Technologies of Information Warfare: Neural Network Imperatives of Information Counteraction to Attempts to Intercept Control in the Social and Information Environment. Moscow: Rusains, 2024. 234 p.

New Model of the Russian Economy Management in the Context of Hybrid Risks and Threats

DOI: 10.33917/es-5.203.2025.6-19

The article examines the problems of transforming the system for economic management of the Russian Federation, which could make it function in conditions of hybrid risks and critical threats. A set of measures for transforming management systems is structured, a number of functional stages is identified. The article substantiates the need to develop both general management and specific technical measures aimed at ensuring that the controlled contour of the system of state and corporate management centers within the resource supply infrastructure should be prepared for these types of risks and threats. The author concludes that the most appropriate management tool is adoption of a digital “twin” model of an economic entity (organizational agent). Obtained results will enable authorities to address organizational challenges in the event of the “drop-out of control centers at various levels” in order to operate with industry (regional) control centers and to work in a dialogue mode with structures of the Russian Federation Government and infrastructure organizations.

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