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Journal articles on the topic 'Multi-Risks'

Author: Grafiati

Published: 25 May 2024

Last updated: 31 July 2025

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1

Andersen, Per Kragh, Steen Z. Abildstrom, and Susanne Rosthøj. "Competing risks as a multi-state model." Statistical Methods in Medical Research 11, no. 2 (2002): 203–15. http://dx.doi.org/10.1191/0962280202sm281ra.

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2

Depietri, Yaella, Khila Dahal, and Timon McPhearson. "Multi-hazard risks in New York City." Natural Hazards and Earth System Sciences 18, no. 12 (2018): 3363–81. http://dx.doi.org/10.5194/nhess-18-3363-2018.

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Abstract. Megacities are predominantly concentrated along coastlines, making them exposed to a diverse mix of natural hazards. The assessment of climatic hazard risk to cities rarely has captured the multiple interactions that occur in complex urban systems. We present an improved method for urban multi-hazard risk assessment. We then analyze the risk of New York City as a case study to apply enhanced methods for multi-hazard risk assessment given the history of exposure to multiple types of natural hazards which overlap spatially and, in some cases, temporally in this coastal megacity. Our ai

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3

Khan, Saleh, and Arvind Ashta. "Managing Multi-Faceted Risks in Microfinance Operations." Strategic Change 22, no. 1-2 (2013): 1–16. http://dx.doi.org/10.1002/jsc.1918.

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4

Bogdanov, K. "The Escalation Risks of Multi-Domain Battles." World Economy and International Relations 67, no. 4 (2023): 29–39. http://dx.doi.org/10.20542/0131-2227-2023-67-4-29-39.

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The outpacing development of doctrinal concepts of warfare at the present stage becomes an additional source of instability in the strategic landscape. Combined with the restructuring of the world order and the active introduction of emerging technologies, the development of new doctrines leads to increased escalation risks, including due to the poorly understood mutual influences of the operating factors in a complex environment. The Multi-Domain Battle theory is an excellent example of this impact. The article analyzes the main provisions of this theory in terms of potentially emerging escal

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5

GLADE, Thomas. "Methodological challenges of multi-risk and multi-hazard approaches." Revista Ecologias Humanas 10, no. 12 (2024): 09–25. https://doi.org/10.5281/zenodo.13729998.

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Multi-hazards and risks are getting more and more important all over the world. Hereby, many different institutions and scientific disciplines are involved. A variety of multi-hazard and risk approaches are available. Following a brief review of the key terms in that field of disaster risk reduction, the main multi-hazard risk approach is presented. Hereby, the importance of interactions in terms of compound and cascading events is explored.  The demand to move from classical risk management to disaster-based risk management is explored. Finally, challenging issues such as extreme events,

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Li, Xiaopeng, and Fuqiu Li. "Reliability Assessment of Space Station Based on Multi-Layer and Multi-Type Risks." Applied Sciences 11, no. 21 (2021): 10258. http://dx.doi.org/10.3390/app112110258.

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A space station is a typical phased-mission system, and assessing its reliability during its configuration is an important engineering action. Traditional methods usually require extensive data to carry out a layered reliability assessment from components to the system. These methods suffer from lack of sufficient test data, and the assessment process becomes very difficult, especially in the early stage of the configuration. This paper proposes a reliability assessment method for the space station configuration mission, using multi-layer and multi-type risks. Firstly, the risk layer and the r

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7

Radhakrishnan*, Dr K. G. Selvan. "ASSAULT OF RISKS IN MULTI STOREY BUILDING CONSTRUCTION." Global Journal of Engineering Science and Research Management 5, no. 2 (2018): 25–32. https://doi.org/10.5281/zenodo.1186511.

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The Construction Industry is rapidly reviving after the jolt of demonetisation. The builders have understood the RERA and the benefits of same to both themselves and also to the buyers.   The increased income levels, rise in the movement of people from rural areas to urban areas for employment purposes, easy availability of long term institutional finance, increased rentals in city forcing people to sacrifice their other comforts for purchase of an apartment, growing economic development and Government’s initiative on House for All and many other reasons contribute to the excellent

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8

Renner, Rebecca. "Predicting chemical risks with multi-media fate models." Environmental Science & Technology 29, no. 12 (1995): 556A—559A. http://dx.doi.org/10.1021/es00012a002.

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9

Vyzhitovich, Aleksandr. "Financial Management of Risks: Multi-Agency Investment Projects." Bulletin of Kemerovo State University. Series: Political, Sociological and Economic sciences 2022, no. 4 (2022): 521–28. http://dx.doi.org/10.21603/2500-3372-2022-7-4-521-528.

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Effective risk management needs new approaches to risk analysis, especially in multi-agent investment projects. The article focuses on cluster projects currently active in the Novosibirsk Region, as well as on specific financial risks that occur between interacting organizations of various ownership forms. The author studied the assessment methodology for risks that develop as a result of unreliable or incomplete information, violation of state subsidies, their repayment, etc. The analysis of Novosibirsk clusters involved the Kontur. Focus software. The proposed methods included defining key p

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10

LEE, O. K. D., and D. V. BABY. "MANAGING DYNAMIC RISKS IN GLOBAL IT PROJECTS: AGILE RISK-MANAGEMENT USING THE PRINCIPLES OF SERVICE-ORIENTED ARCHITECTURE." International Journal of Information Technology & Decision Making 12, no. 06 (2013): 1121–50. http://dx.doi.org/10.1142/s0219622013400117.

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Risk management in global information technology (IT) projects is becoming a critical area of concern for practitioners. Global IT projects usually span multiple locations involving various culturally diverse groups that use multiple standards and technologies. These multiplicities cause dynamic risks through interactions among internal (i.e., people, process, and technology) and external elements (i.e., business and natural environments) of global IT projects. This study proposes an agile risk-management framework for global IT project settings. By analyzing the dynamic interactions among mul

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11

Stewart, Mark G., and John Mueller. "Terrorism Risks for Bridges in a Multi-Hazard Environment." International Journal of Protective Structures 5, no. 3 (2014): 275–89. http://dx.doi.org/10.1260/2041-4196.5.3.275.

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12

Hu, Fangfei, Shiyuan Liu, Xinrui Cheng, Pengyou Guo, and Mengqi Yu. "Risks of Generative Artificial Intelligence and Multi-Tool Governance." Academic Journal of Management and Social Sciences 9, no. 2 (2024): 88–93. http://dx.doi.org/10.54097/stvem930.

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While generative AI, represented by ChatGPT, brings a technological revolution and convenience to life, it may raise a series of social and legal risks, mainly including violation of personal privacy and data security issues, infringement of intellectual property rights, generation of misleading and false content, and exacerbation of discrimination and prejudice. However, the traditional AI governance paradigm oriented towards conventional AI may not be adequately adapted to generative AI with generalized potential and based on big models. In order to encourage the innovative development of ge

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13

Fu, Zhixuan, Shuangge Ma, Haiqun Lin, Chirag R. Parikh, and Bingqing Zhou. "Penalized Variable Selection for Multi-center Competing Risks Data." Statistics in Biosciences 9, no. 2 (2016): 379–405. http://dx.doi.org/10.1007/s12561-016-9181-9.

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14

Jones-Berry, Stephanie. "Possible multi-year pay deal has opportunities – and risks." Nursing Standard 32, no. 24 (2018): 12–14. http://dx.doi.org/10.7748/ns.32.24.12.s10.

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15

Knight, Andrew J., and Rex Warland. "Determinants of Food Safety Risks: A Multi-disciplinary Approach*." Rural Sociology 70, no. 2 (2005): 253–75. http://dx.doi.org/10.1526/0036011054776389.

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16

Putter, H., M. Fiocco, and R. B. Geskus. "Tutorial in biostatistics: competing risks and multi-state models." Statistics in Medicine 26, no. 11 (2007): 2389–430. http://dx.doi.org/10.1002/sim.2712.

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17

Prakash, Surya, Gunjan Soni, and Ajay Pal Singh Rathore. "Multi-echelon closed-loop supply chain network design and configuration under supply risks and logistics risks." International Journal of Logistics Systems and Management 28, no. 1 (2017): 1. http://dx.doi.org/10.1504/ijlsm.2017.085882.

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18

Rathore, Ajay Pal Singh, Gunjan Soni, and Surya Prakash. "Multi-echelon closed-loop supply chain network design and configuration under supply risks and logistics risks." International Journal of Logistics Systems and Management 28, no. 1 (2017): 1. http://dx.doi.org/10.1504/ijlsm.2017.10006284.

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19

Cahyandari, Rini, Susan Kamelia, and Volodymyr Rusyn. "Multiobjective Optimization of Stock Portofolio." International Journal of Mathematics, Statistics, and Computing 2, no. 1 (2024): 9–15. http://dx.doi.org/10.46336/ijmsc.v2i1.65.

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Diversification is a method used to reduce risks by allocating several financial, industrial, and other instruments. Investors might need to use this method to allocate their companies’ funding as efficient as they should be. Mean variance portfolio is a diversification theory designated for investors who are aware of potential risks. On the other hand, multi-objective portfolio optimization is another theory that suits for investors who are more unaware, or choose to neglect potential business risks. Multi-objective optimization can boost source of income and minimize the risks while utilizin

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20

S. Al-Ashhab, M., and E. A. Mlybari. "A tactical multi-objective multi-product green supply chain planning optimization model." International Journal of Engineering & Technology 7, no. 4 (2019): 6192–99. http://dx.doi.org/10.14419/ijet.v7i4.24836.

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In this paper, a Multi-objective, multi-products, and multi-period green supply chain optimization model that consider some important economic and environmental risks and their associated impacts are developed using the lexicographic procedure. Managing the impacts of both side of economic and environmental risks, maximizing opportunitiesâ€™ impacts and minimizing threatsâ€™ impacts. Economic impacts include maximizing profit, maximizing the overall service level while minimizing the total cost, and the environmental impacts include minimizing energy consumption and minimizing CO2 emissions fr

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21

Gallina, Valentina, Silvia Torresan, Alex Zabeo, Andrea Critto, Thomas Glade, and Antonio Marcomini. "A Multi-Risk Methodology for the Assessment of Climate Change Impacts in Coastal Zones." Sustainability 12, no. 9 (2020): 3697. http://dx.doi.org/10.3390/su12093697.

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Climate change threatens coastal areas, posing significant risks to natural and human systems, including coastal erosion and inundation. This paper presents a multi-risk approach integrating multiple climate-related hazards and exposure and vulnerability factors across different spatial units and temporal scales. The multi-hazard assessment employs an influence matrix to analyze the relationships among hazards (sea-level rise, coastal erosion, and storm surge) and their disjoint probability. The multi-vulnerability considers the susceptibility of the exposed receptors (wetlands, beaches, and u

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22

Lytvyn, Vasyl, and Ihor Rishnyak. "MODELING AND EVALUATION OF PROJECT RISKS IN MULTI-PROJECT ENVIRONMENT." Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska 4, no. 2 (2014): 34–36. http://dx.doi.org/10.5604/20830157.1109370.

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23

Lu, Da-Yong, Peng-Peng Zhu, Ting-Ren Lu, and Jin-Yu Che. "The Suicidal Risks and Treatments, Seek Medications from Multi-disciplinary." Central Nervous System Agents in Medicinal Chemistry 16, no. 3 (2016): 231–39. http://dx.doi.org/10.2174/1871524916666160210142734.

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24

Mittnik, Stefan, Willi Semmler, and Alexander Haider. "Climate Disaster Risks—Empirics and a Multi-Phase Dynamic Model." Econometrics 8, no. 3 (2020): 33. http://dx.doi.org/10.3390/econometrics8030033.

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Recent research in financial economics has shown that rare large disasters have the potential to disrupt financial sectors via the destruction of capital stocks and jumps in risk premia. These disruptions often entail negative feedback effects on the macroeconomy. Research on disaster risks has also actively been pursued in the macroeconomic models of climate change. Our paper uses insights from the former work to study disaster risks in the macroeconomics of climate change and to spell out policy needs. Empirically, the link between carbon dioxide emission and the frequency of climate related

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25

Barrieu, Pauline, and Giacomo Scandolo. "General Pareto Optimal Allocations and Applications to Multi-Period Risks." ASTIN Bulletin 38, no. 01 (2008): 105–36. http://dx.doi.org/10.2143/ast.38.1.2030405.

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In this paper, we consider the problem of Pareto optimal allocation in a general framework, involving preference functionals defined on a general real vector space. The optimization problem is equivalent to a modified sup-convolution of the different agents’ preference functionals. The results are then applied to a multi-period setting and some further characterization of Pareto optimality for an allocation is obtained for expected utility for processes.

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26

Ivanova, K. S., I. V. Zhuravlev, and Yu P. Stepin. "Multi-criteria risks evaluation and effectiveness of AGZK regional development." Problems of Economics and Management of Oil and Gas Complex, no. 11 (2021): 17–25. http://dx.doi.org/10.33285/1999-6942-2021-11(203)-17-25.

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27

Olivier, Timothée, Jenny Gill, and Vinay Prasad. "Multi-Cancer Screening Tests: Communicating About Risks Should be Prioritized." American Journal of Medicine 135, no. 4 (2022): 413–15. http://dx.doi.org/10.1016/j.amjmed.2021.09.012.

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28

Olivier, Timothée, Jenny Gill, and Vinay Prasad. "Multi-Cancer Screening Tests: Communicating About Risks Should be Prioritized." American Journal of Medicine 135, no. 4 (2022): 413–15. http://dx.doi.org/10.1016/j.amjmed.2021.09.012.

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29

Mittnik, Stefan, Willi Semmler, and Alexander Haider. "Climate Disaster Risks – Empirics and a Multi-Phase Dynamic Model." IMF Working Papers 19, no. 145 (2019): 1. http://dx.doi.org/10.5089/9781498320849.001.

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Recent research in financial economics has shown that rare large disasters have the potential to disrupt financial sectors via the destruction of capital stocks and jumps in risk premia. These disruptions often entail negative feedback e?ects on the macroecon-omy. Research on disaster risks has also actively been pursued in the macroeconomic models of climate change. Our paper uses insights from the former work to study disaster risks in the macroeconomics of climate change and to spell out policy needs. Empirically the link between carbon dioxide emission and the frequency of climate re-lated

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30

Pukkala, Timo. "Multiple risks in multi-objective forest planning: integration and importance." Forest Ecology and Management 111, no. 2-3 (1998): 265–84. http://dx.doi.org/10.1016/s0378-1127(98)00339-9.

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31

Barrieu, Pauline, and Giacomo Scandolo. "General Pareto Optimal Allocations and Applications to Multi-Period Risks." ASTIN Bulletin 38, no. 1 (2008): 105–36. http://dx.doi.org/10.1017/s0515036100015087.

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In this paper, we consider the problem of Pareto optimal allocation in a general framework, involving preference functionals defined on a general real vector space. The optimization problem is equivalent to a modified sup-convolution of the different agents’ preference functionals. The results are then applied to a multi-period setting and some further characterization of Pareto optimality for an allocation is obtained for expected utility for processes.

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32

Horan, Richard D., David Finnoff, Kevin Berry, Carson Reeling, and Jason F. Shogren. "Managing Wildlife Faced with Pathogen Risks Involving Multi-Stable Outcomes." Environmental and Resource Economics 70, no. 3 (2018): 713–30. http://dx.doi.org/10.1007/s10640-018-0227-y.

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33

Cagno, Enrico, Franco Caron, and Mauro Mancini. "A Multi-Dimensional Analysis of Major Risks in Complex Projects." Risk Management 9, no. 1 (2007): 1–18. http://dx.doi.org/10.1057/palgrave.rm.8250014.

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34

Regős, Gábor. "Comparison of power plants’ risks with multi criteria decision models." Central European Journal of Operations Research 21, no. 4 (2012): 845–65. http://dx.doi.org/10.1007/s10100-012-0257-4.

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35

Adam-M�ller, Axel F. A. "Exports and hedging exchange rate risks: the multi-country case." Journal of Futures Markets 20, no. 9 (2000): 843–64. http://dx.doi.org/10.1002/1096-9934(200010)20:9<843::aid-fut3>3.0.co;2-g.

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36

Faranosov, Vadim, Dmitry Surinsky, and Oleg Nikolsky. "Multi-criteria management of anthropogenic risks hazards of electrical installations." АгроЭкоИнфо 2, no. 56 (2023): 13. http://dx.doi.org/10.51419/202132213.

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An approach to the construction of a decision support system (DSS) is considered, including object-oriented models and software tools using ontology – a model representing a computer form of a knowledge base (BZ) in the form of semantic (information-logical) networks. With the help of these networks, the interrelationships of components of a human-machine system with different physical nature (human, electrical installation, environment) are established. At the same time, ontologies perform an integral function, providing a general conceptual basis in decision-making processes in the subject a

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37

GLAVAN, ALINA, DANIEL GHEORGHICA, and VICTOR CROITORU. "MULTI-ACCESS EDGE COMPUTING ANALYSIS OF RISKS AND SECURITY MEASURES." REVUE ROUMAINE DES SCIENCES TECHNIQUES — SÉRIE ÉLECTROTECHNIQUE ET ÉNERGÉTIQUE 68, no. 2 (2023): 206–11. http://dx.doi.org/10.59277/rrst-ee.2023.68.2.15.

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5G efficiently uses technologies like network slicing (NS), network function virtualization (NFV), software-defined network (SDN), and multi-access edge computing (MEC). At the same time, embracing these technologies and creating new services opens the network to a new set of security challenges. This paper presents a threat analysis of MEC features. The paper's novelty resides in viewing MEC as common ground for the telco and IT sectors. This paper studies the measures according to ISO/IEC 27001:2022 controls. ISO/IEC 27001 is the most popular standard for information security management syst

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38

Kizaki, Keisuke, Taiga Saito, and Akihiko Takahashi. "Equilibrium multi-agent model with heterogeneous views on fundamental risks." Automatica 160 (February 2024): 111415. http://dx.doi.org/10.1016/j.automatica.2023.111415.

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39

Wang, Mengyao, Hong Zhu, Jiaqi Yao, Liuru Hu, Haojie Kang, and An Qian. "Assessing Large-Scale Flood Risks: A Multi-Source Data Approach." Sustainability 17, no. 11 (2025): 5133. https://doi.org/10.3390/su17115133.

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Flood hazards caused by intense short-term precipitation have led to significant social and economic losses and pose serious threats to human life and property. Accurate disaster risk assessment plays a critical role in verifying disaster statistics and supporting disaster recovery and reconstruction processes. In this study, a novel Large-Scale Flood Risk Assessment Model (LS-FRAM) is proposed, incorporating the dimensions of hazard, exposure, vulnerability, and coping capacity. Multi-source heterogeneous data are utilized for evaluating the flood risks. Soil erosion modeling is incorporated

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40

Zou, Weiqiang, Jiajing Li, and Pengfei Wu. "Risk Contagion and Regulatory Containment in Blockchain Financial Infrastructure." Journal of Global Information Management 33, no. 1 (2025): 1–32. https://doi.org/10.4018/jgim.384488.

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The integration of blockchain technology with securities settlement systems is driving profound transformation in the financial sector. Blockchain technology demonstrates significant advantages in improving settlement efficiency, security, and transparency. However, alongside optimizing the securities settlement process, blockchain also introduces risks, including trust-related risks, technical risks, and systemic risks. This study examines the governance paradigm for blockchain settlement risks through the lens of game theory between technological risks and regulatory responses. Utilizing map

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41

Khabibulin, Renat Shamil'yevich, and Denis Viacheslavovich Tarakanov. "Multi-criteria analysis of fire risks. A model of the quantitative importance of risks "one to many"." Technology of technosphere safety, no. 101 (2023): 105–13. http://dx.doi.org/10.25257/tts.2023.3.101.105-113.

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Introduction. The problem of management in the organizational system of fire safety is considered using a conceptual approach to formalize decision-making procedures based on the comprehensive minimization of fire risks. Practice shows that managerial decision-making when creating an effective fire protection system provides for contradictory situations when it is necessary to minimize several types of fire risks at the same time. At the same time, the preferred values of some risks cause less preferred values of other risks, which causes a contradiction. In the theory of decision-making, such

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42

Gasparrini, Antonio, Ana Maria Vicedo-Cabrera, and Aurelio Tobias. "The Multi-Country Multi-City Collaborative Research Network: An international research consortium investigating environment, climate, and health." Environmental Epidemiology 8, no. 5 (2024): e339. http://dx.doi.org/10.1097/ee9.0000000000000339.

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Research on the health risks of environmental factors and climate change requires epidemiological evidence on associated health risks at a global scale. Multi-center studies offer an excellent framework for this purpose, but they present various methodological and logistical problems. This contribution illustrates the experience of the Multi-Country Multi-City Collaborative Research Network, an international collaboration working on a global research program on the associations between environmental stressors, climate, and health in a multi-center setting. The article illustrates the collabora

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43

Xiong, Minglan, Huawei Wang, Zhaoguo Hou, and Yiik Diew Wong. "Multi-level information identification for civil aviation safety risks: A hierarchical multi-branch deep learning approach." Information Sciences 702 (June 2025): 121888. https://doi.org/10.1016/j.ins.2025.121888.

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44

Yang, Xi, and Xiang Yu. "Preventing Patent Risks in Artificial Intelligence Industry for Sustainable Development: A Multi-Level Network Analysis." Sustainability 12, no. 20 (2020): 8667. http://dx.doi.org/10.3390/su12208667.

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In recent years, assessing patent risks has attracted fast-growing attention from both researchers and practitioners in studies of technological innovation. Following the existing literature on risks and intellectual property (IP) risks, we define patent risks as the lack of understanding of the distribution of patents that lead to losing a key patent, increased research and development costs, and, potentially, infringement litigation. This paper aims to propose an explorative approach to investigating patent risks in the target technology field by integrating social network analysis and paten

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45

Moura, Josely Pinto de, and Elucir Gir. "Nursing staff knowledge of multi-resistant bacterial infections." Acta Paulista de Enfermagem 20, no. 3 (2007): 351–56. http://dx.doi.org/10.1590/s0103-21002007000300018.

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OBJECTIVE: To assess professional nurses', associate degree prepared nurses', licensed practical nurses', and nursing assistants' knowledge of the causes of multi-resistant bacterial infections, the risks theses infections pose to health care providers, the chain of transmission of these infections, and patients' susceptibility to colonization of these multi-resistant bacterial infections. METHODS: This descriptive study was conducted in a major general hospital in Minas Gerais, Brazil. The sample consisted of 42 nursing staff from a medical clinical unit. Descriptive statistics were used to a

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46

Ciceri, Claudia, Camilla Borsani, Michela Guida, Marco Farinelli, and Federico Caniato. "Impact pathways: navigating risks in the pharmaceutical supply chain – a multi-actor perspective." International Journal of Operations & Production Management 45, no. 13 (2025): 53–62. https://doi.org/10.1108/ijopm-06-2024-0458.

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PurposeThis study aims to comprehensively map and prioritize risks in the pharmaceutical supply chain, focusing on European and North American countries through a multi-actor perspective.Design/methodology/approachThrough a structured literature review on supply chain risk management in the pharmaceutical supply chain, we identified 84 risks. After shortlisting the 15 most critical ones, we applied the analytic hierarchy process to prioritize risks affecting the pharmaceutical supply chain, considering both the perspective of individual actors and the entire supply chain.FindingsThis study fir

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47

Shi, Mengying, and Jinwei Zhu. "Procurement Optimization for Manufacturing Enterprises Considering Supply Chain Disruption Risks and Carbon Emissions." Sustainability 17, no. 8 (2025): 3532. https://doi.org/10.3390/su17083532.

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This study addresses the procurement problem in mechanical manufacturing enterprises, considering both supply chain disruption risks and carbon emissions. Based on a multi-product, multi-supplier procurement planning optimization problem, a high-dimensional multi-objective optimization model is developed with procurement cost, total loss, number of quality defects, and carbon emissions as objectives. The model is solved using an improved integer-coded NSGA-III algorithm, which includes four mechanisms: heuristic population initialization, infeasible solution optimization and repair, a weight-m

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48

Wu, Weitiao, Jian Ma, Ronghui Liu, and Wenzhou Jin. "Multi-class hazmat distribution network design with inventory and superimposed risks." Transportation Research Part E: Logistics and Transportation Review 161 (May 2022): 102693. http://dx.doi.org/10.1016/j.tre.2022.102693.

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49

Kim, Hyun Sik, and Doo-Sub Kim. "Adolescents of Multi-Cultural Families and Differential Risks of Suicidal Behaviors." Korean Journal of Sociology 48, no. 2 (2014): 35. http://dx.doi.org/10.21562/kjs.2014.04.48.2.35.

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50

Kim, Hyun Sik. "Differential Risks of Juvenile Delinquency Among Adolescents of Multi-Cultural Families." Korean Journal of Sociology 50, no. 1 (2016): 41. http://dx.doi.org/10.21562/kjs.2016.02.50.1.41.

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