System Resilience Research Articles

A systematic review of strategies for enhancing pharmaceutical supply chain resilience in the U.S

This review aims to explore strategies for enhancing pharmaceutical supply chain resilience in the United States by addressing vulnerabilities exposed by recent global events, including the COVID-19 pandemic. The study identifies and analyzes eight key strategies: supplier diversification, increased inventory and safety stock, adoption of advanced technologies, improved forecasting and demand planning, vertical integration, reshoring and nearshoring, contingency planning and risk management, and collaboration and information sharing. Drawing on these strategies in the context of the United States, the review examines the advantages and potential challenges associated with them. The implementation of strategies such as supplier diversification and the adoption of advanced technologies shows positive effects, but these approaches require significant resources and face policy restrictions. This paper also analyzes the policy and industry implications of these strategies, emphasizing the need for collaboration between the government and industry. Various policy implications include the need to encourage supplier diversification, support for strategic stocking, and funding for technology implementation. For the industry, there is a need for operational adjustments such as redesigning supply chain networks with emphasis on enhancing risk management practices. Although implementing these strategies presents certain complexities, they hold great promise for improving the overall resilience of the US pharmaceutical supply systems and should be further explored in the future. Keywords: Supply Chain, Risk Management, Industry Disruption, Inventory Management, Blockchain Technology

Natural assets, changes, and variations of the socioeconomic-environmental systems along the Asian drylands belt

Abstract The amount of and changes in a country's natural assets are crucial for developing national strategic plans and policies due to their foundational role in determining the resilience of social-environmental systems (SES), especially under a changing climate. Many integrated metrics on natural assets have been proposed based on individual measures to provide insights into the state of national natural resources. This is particularly true for countries experiencing extreme environmental stresses. Drawing on longitudinal data spanning from 1980 to 2020, the objective of this study is to analyze nuanced distinctions across 23 political entities (PEs) in the dryland regions of mid-latitudinal Asia, investigating their interannual variabilities over the four-decade study period and discerning potential driving forces. We examined three key integrated measures of the SES: ecosystem water use efficiency (WUE), human appropriation of net primary production (HANPP), and human appropriation of water resources (HAWR). We found increased variability as well as spikes in extreme values in each of these three measures of SES function among the 23 PEs over the study period. Water stress played an increasing and more important role than temperature in influencing the magnitude and variations of the three measures. Our results also indicate that human interventions may help increase the efficiency of water use in this dryland region of the world.

Synergies and dis-synergies between universal health coverage and global health security: A case study of Cambodia.

After the coronavirus disease 2019 (COVID-19) pandemic, the global community's increased focus on pandemic preparedness has driven efforts such as the Pandemic Treaty proposed by the World Health Organization (WHO) and the Pandemic Fund managed by the World Bank. While these initiatives will enhance countries' capabilities in pandemic preparedness, synergies could be achieved by exploring the intersections between universal health coverage (UHC) and global health security (GHS). This is particularly relevant for developing countries like Cambodia. As it transitions to higher income status and reduces its reliance on external funding, the synergistic development of UHC and GHS will help Cambodia maximise health investment and align with its population health goals. We aimed to identify synergies and dis-synergies between UHC and GHS and recommend implementations that the government can consider moving forward. We conducted a rapid review of policy documents based on the World Health Organization (WHO) Health System Framework and undertook consultations with key stakeholders in Cambodia. Our findings show the synergies between the two agendas in Cambodia resulted from having a central coordinating authority through the Ministry of Health (MoH), an extensive primary care network, and intersecting human resources that drive both UHC and GHS. We also identified potential dis-synergies such as vertical programmes and funding sources, inadequate regulation and engagement of the private sector, and underutilisation of information and data. Recommendations include cross-consultations between departments within the MoH when developing policies in GHC or UHC, and training programmes to increase awareness of the synergies between UHC and GHS. Our findings reinforce those of previous case studies in Bangladesh, Ethiopia, and Ghana, offering recommendations for building resilient health systems by integrating UHC and GHS.

Impact of Expanded HIV Testing and Rapid Antiretroviral Therapy Initiation in Southwest China: An Interrupted Time-Series Analysis.

This study evaluates the impact of an expanded HIV testing initiative, launched in June 2018 in Luzhou, Sichuan, China, on antiretroviral therapy (ART) initiation rates among people living with HIV (PLWH). Using an uncontrolled interrupted time-series design, we analyzed data from 11,040 PLWH between June 2016 and December 2022, extracted from 108 health facilities via the Center for Disease Control and Prevention's ART database. The primary outcome measures were ART initiation rates within 7 and 30 days of HIV diagnosis. Results showed a significant improvement in the 30-day ART initiation rate following expanded testing, increasing from 46.1% to 90.9% by the study's end. The 7-day initiation rate also improved but remained below 30%. The study found that expanded testing enhanced the role of primary health care institutions in ART initiation. However, the COVID-19 pandemic, beginning January 2020, negatively impacted ART initiation rates, with a slight effect on 30-day rates but a persistent negative impact on 7-day rates. Despite these challenges and an increased HIV burden, Luzhou's ART initiation rates surpassed the national average. This study emphasizes the effectiveness of expanded HIV testing in ensuring timely ART access, crucial for HIV epidemic control, and improved patient outcomes. It also reveals challenges in maintaining HIV services during public health crises, offering insights into health care system resilience. Future research should focus on evaluating long-term treatment outcomes and strategies to support ending the AIDS epidemic.

Seed exchange networks: metrics for examining the resilience of social-ecological agricultural systems

ABSTRACT Agricultural systems are dynamic social-ecological systems which are rarely examined under relational approaches. The analysis of seed exchange networks represents a growing empirical pathway to relational thinking for examining the resilience of social-ecological agricultural systems and their dynamic cycles. We conducted a literature review to (i) explore the advances of seed exchange network research, and (ii) identify and synthesize the network metrics used for examining social-ecological structures linking human and other-than-human actors to understand the resilience of agricultural systems. Complementarily, we explored what a relational approach to seed exchange network analysis might entail. Our work shows a growing use of network analysis to explore coupled social-ecological relations in agricultural systems. However, in the past quarter century, most seed exchange case studies often omitted the inherent relational nature of network data and lacked recognition of the agency of other-than-human entities in seed exchange networks. We identified over 20 network metrics broadly used in network analysis, including structural and locational metrics such as ‘density’, ‘modularity’, and ‘centrality’. These metrics have the potential to inform about the dynamics that may either enhance or constrain the resilience of agricultural systems. For example, ‘density’ and ‘centrality’ can reveal pathways of agrobiodiversity access and key actors, respectively. This information may enhance the efficiency of agrobiodiversity flows in agricultural systems. Finally, we discuss some practical implications of adopting a relational approach to seed exchange network analysis to better understand people-agrobiodiversity relations under local, regional, and global changes.

Swarm Intelligence and Unmanned Systems: The Potentıal Impact of The Principles of Swarm Intelligence and Collective Behaviour in Nature On Unmanned Systems and Autonomous Organizational Structures

This paper examines the potential implications of the principles of swarm intelligence and collective behavior in nature for unmanned systems and autonomous organizational structures. Swarm intelligence is inspired by natural systems in which individual units interact according to simple rules to form a complex and organized whole. These principles can be observed in a wide range of situations, from the synchronized flight of flocks of birds to the harmonized swimming behavior of schools of fish. The study emphasizes that swarm intelligence principles have the potential to create more flexible, resilient and efficient systems with decentralized control mechanisms and autonomous decision-making processes. Furthermore, it is suggested that these approaches can find applications in many fields, from military operations to agricultural and environmental monitoring, from disaster response to urban planning. The study provides a detailed analysis of swarm behavior in nature and discusses how these behaviors can be emulated and optimized in unmanned systems. In this context, the potential impacts of swarm intelligence and collective behavior principles on unmanned systems are evaluated in terms of increasing their adaptability, optimizing energy efficiency and maximizing mission success. It is also argued that these principles can contribute to making unmanned systems more resilient to contingencies and changing environmental conditions. This theoretical study suggests that swarm intelligence principles can provide innovative solutions for future unmanned systems and autonomous organizational structures.

Bioengineering Bacillus spp. for Sustainable Crop Production: Recent Advances and Resources for Biotechnological Applications

AbstractThe goal of sustainable agriculture is to meet the rising need for food, while minimizing adverse impacts on the environment, protecting natural resources, and ensuring agricultural output over the long term. The pressing need to increase agricultural yield through sustainable agriculture is being emphasized. Several Bacillus species have been used as commercial biopesticides since they can act against plant pathogens by potentially suppressing them. At the same time, they can act as plant growth-promoting rhizobacteria and are known for their diverse characteristics and beneficial properties, making them potential candidates for use sustainable crop production programs. Knowledge of genetic information opens the door of possibility for understanding the way these microorganisms behave. By applying biotechnological tools to Bacillus, strategies can be adopted for the purpose of increasing the yield of crops and managing pests and pathogens that infect them. In this review, we identify the genes in the most significant Bacillus spp. that contribute to plant improvement. The most important biotechnological tools and advance computational approaches are described to provide an extended vision on this topic. However, increasing the crop production through application of beneficial microbial strains requires a multifaceted approach that considers ecological, economic, and social aspects. By implementing these strategies and practices, we can work towards a sustainable and resilient agricultural system that meets the growing food demand, while preserving the environment for future generations.

Modeling Resilience of Metro-Based Urban Underground Logistics System Based on Multi-Layer Interdependent Network

The metro-based underground logistics system (M-ULS) has been identified as an effective solution to urban problems resulting from the expansion of urban freight traffic. However, there is a paucity of current research that examines the resilience of a M-ULS in the context of unexpected events during operations. Therefore, this paper presents a methodology for assessing the resilience of the M-ULS. The method considers the propagation paths of various failures in a multi-layered, interdependent network that includes topology, functionality, facilities, and information, as well as network performance indicators based on network freight flow and logistics timeliness. The effectiveness of the method is demonstrated using the case of the Nanjing Metro. The results show that the type of disruption, the duration, and the direction of train travel all have a significant impact on the resilience of the M-ULS. The method proposed in this paper provides a scientific basis for the assessment and optimization of M-ULS resilience and also offers new insights into the use of urban rail transit to promote the sustainable development of urban logistics.

Rice Production in Water-Scarce Environments: A Review of Conservation Agriculture Techniques

Rice is a critical crop for global food security, but its production is increasingly threatened by water scarcity. Conservation agriculture (CA) techniques have been identified as a promising approach to address this challenge. This review synthesizes the current state of knowledge on CA techniques for rice production in water-scarce environments, focusing on their effects on soil health, water productivity, and rice yields. We examine the evidence from various studies and identify the constraints and opportunities for adoption among smallholder farmers. Our review highlights the potential of CA techniques to improve rice production in water-scarce environments, but also emphasizes the need for further research and support to address the challenges faced by smallholder farmers. By promoting the adoption of CA techniques, we can enhance the resilience of rice production systems and contribute to global food security.

Spatiotemporal dynamic assessment and obstacle analysis of economic resilience in China's marine fisheries.

With global climate change and increased overfishing, the sustainable development of marine fisheries economies faces many challenges. This study evaluates the resilience of the marine fishery system in China's coastal areas in a systematic, scientific, and comprehensive manner by establishing the ANP-EWM-TOPSIS comprehensive evaluation system, analyzing the temporal and spatial changes in the economic resilience of marine fisheries, and exploring the main obstacles affecting resilience. The results show that the fishery system in Chinese marine regions demonstrates significant resilience both temporally and spatially. From the analysis of temporal and spatial variations, the economic resilience of marine fisheries in Fujian and Shandong provinces is relatively high and shows a clear upward trend, while the changes in economic resilience of marine fisheries in Tianjin and Shanghai are not significant. Regarding obstacle factors, the dimensions of resistance and innovation exhibit relatively high levels of obstacles. The findings of this study are of great significance for enhancing the economic resilience of marine fisheries in coastal regions worldwide.

A Systematic Review of Techno-Economic, Environmental and Socioeconomic Assessments for Vibration Induced Energy Harvesting

There is a growing need to ensure the resilience of energy and water systems through digitalization, retrofit these systems for cleaner energy systems, and protect public safety in terms of water quality. This resilience requires a reliable power supply that could be provided by harnessing unexploited energy hidden in the current water infrastructure through the deployment of vortex-induced vibration energy harvesters. Therefore, being able to understand the feasibility of deploying these devices across technical, socioeconomic and environmental scales could further enhance successful deployment and integration of these devices. This paper aims to provide a systematic review investigating the development of energy harvester technologies to understand the key methods used to assess their application feasibility. This study used the PRISMA guidelines, and 139 articles were reviewed and synthesized. The trends were visualized, illustrating the current direction in energy harvesting development and application and methods used to assess the feasibility of these devices and technology. The majority of the reviewed studies focused on technical feasibility, design configuration, limitation, and identification of the most optimal application environment. The results revealed a huge opportunity for energy harvesters, especially as a power supply for monitoring sensors. Nevertheless, the results also identified a knowledge gap when it comes to assessing the overall application feasibility of energy harvesting as most studies currently neglect economic feasibility, environmental impacts, social aspects and energy resilience. Assessment tools will help fill this knowledge gap by identifying the key barriers and benefits gained from integrating this technology into existing energy systems and water systems.

Sustainable Nitrogen Management in Rice Farming: Spatial Patterns of Nitrogen Availability and Implications for Community-Level Practices

Sustainable nitrogen management is crucial for long-term food security and environmental protection in rice farming systems. However, the spatial patterns of nitrogen availability at the community level remain poorly understood, hindering the development of effective sustainable management strategies. This study introduces a novel application of spatial autoregressive analysis to investigate available nitrogen distribution in paddy soils across a rice farming community in Kyoto, Japan. Soil samples from 61 plots, including organically farmed ones, were analyzed for available nitrogen and various physicochemical properties. Contrary to the hypothesis of high variability between adjacent plots, significant positive spatial autocorrelation in available nitrogen was observed, revealing previously unrecognized community-level patterns. The spatial Durbin model outperformed traditional regression approaches and revealed complex spatial interactions in soil properties. Water-soluble organic carbon and humus content showed strong but opposing effects, with a positive direct impact but negative spatial interaction, suggesting topography-driven accumulation processes. Water-soluble nitrogen exhibited reverse patterns with negative direct effects but positive spatial interaction, indicating potential nutrient transport through water movement. These findings highlight the importance of considering both direct and indirect spatial effects in understanding soil fertility patterns, challenging the conventional plot-by-plot management approach. This methodological advancement provides new perspectives for more effective, community-scale soil management strategies in rice farming systems. Moreover, it demonstrates an innovative approach to maximizing the value of outsourced soil analysis data, providing a model for more comprehensive utilization of such data in agricultural research. By enabling more targeted and efficient nitrogen management practices that consider both plot-level processes and landscape-scale interactions, this study potentially contributes to the development of more sustainable and resilient rice production systems.

Event-Driven Architecture: Harnessing Kafka and Spring Boot for Scalable, Real-Time Applications

This comprehensive article explores the transformative impact of Event-Driven Architecture (EDA) in modern financial services, focusing on its implementation using Apache Kafka and Spring Boot. The article examines how financial institutions have revolutionized their transaction processing capabilities through EDA adoption, achieving significant improvements in system performance, reliability, and customer experience. Through a detailed examination of real-world implementations, the analysis demonstrates how EDA has enabled banks to handle unprecedented transaction volumes while substantially reducing system latency and improving resource utilization. The integration of Kafka and Spring Boot has proven particularly effective, with major financial institutions leveraging these technologies to achieve superior performance metrics and system availability. The article further explores critical patterns, including event sourcing, CQRS, and saga patterns, alongside cloud-based best practices for monitoring, performance optimization, and security implementations. By examining various implementation strategies and their outcomes, this article provides a comprehensive framework for building scalable, resilient financial systems that meet the demanding requirements of modern banking operations while ensuring regulatory compliance and maintaining high security and reliability standards.

OGC SO04 - Impact of COVID-19 on Decision-making and Survival in Esophago-Gastric Cancer Treatment: Insights from a Multidisciplinary Approach

Abstract Background The COVID-19 pandemic necessitated rapid adaptation in healthcare delivery, affecting cancer care pathways. This study assesses the impact of these changes on multidisciplinary team (MDT) decision-making and survival outcomes in esophago-gastric cancer patients across pre-pandemic, peak pandemic, and post-pandemic periods. Method A retrospective cohort study involving patients referred to a UK tertiary EG cancer center during distinct six-month intervals mirroring the pandemic's evolution. Analysis focused on MDT recommendations, treatment pathways, and two-year survival rates, comparing deviations from standard care across periods. Results The study revealed a significant reduction in patient referrals and expedited treatment decisions during the pandemic peak, with a shift towards palliative care in post-pandemic cases. Although no statistically significant difference in two-year survival rates was observed, the post-pandemic period showed an increase in tumor aggressiveness and positive resection margins, suggesting potential long-term impacts of delayed diagnosis and treatment. Conclusion COVID-19 has significantly influenced MDT decision-making and patient pathways in esophago-gastric cancer care, underlining the necessity of resilient healthcare systems. Despite maintaining survival rates, the observed increase in tumor aggressiveness post-pandemic highlights the critical need for uninterrupted cancer diagnosis and treatment services during global health emergencies.

Impact of Polyploidy on Crop Improvement and Plant Breeding Strategies: A Review

Polyploidy, the condition of possessing multiple sets of chromosomes, is a widespread phenomenon in plants that has had a profound impact on crop evolution and improvement. This review explores the role of polyploidy in plant breeding strategies, emphasizing its contributions to enhancing agronomic traits, overcoming genetic barriers, and expanding genetic diversity. Polyploid crops, such as wheat, cotton, and Brassica species, exhibit superior yield, increased biomass, and enhanced stress tolerance compared to their diploid counterparts. Polyploidy can arise naturally or be induced artificially, providing breeders with opportunities to create novel crop varieties through synthetic polyploidization. The complexity of polyploid genomes poses significant challenges, including fertility issues, meiotic instability, and difficulties in genome management. Advances in genomic and biotechnological tools, such as genomic selection and CRISPR-based genome editing, are beginning to address these obstacles, allowing for precise manipulation of polyploid genomes and improved breeding outcomes. Additionally, polyploidy plays a crucial role in overcoming reproductive barriers in interspecific hybrids, facilitating the transfer of desirable traits between species that would otherwise be genetically incompatible. The potential of polyploidy for developing climate-resilient crops is particularly noteworthy, as polyploid plants often exhibit greater tolerance to drought, salinity, and extreme temperatures. This makes polyploid breeding a promising approach for addressing the challenges of climate change and ensuring food security. Future research should focus on understanding the genetic and epigenetic mechanisms underlying polyploid genome stability and trait expression, as well as integrating advanced computational tools to predict and manipulate polyploid gene function. Emerging areas such as synthetic biology and multi-omics integration will further enhance our ability to engineer polyploid crops with complex trait architectures. Polyploidy remains a powerful and versatile tool for plant breeders, offering immense potential for crop improvement, genetic innovation, and the development of resilient agricultural systems. As the understanding and technological capabilities in polyploid breeding continue to advance, polyploid crops will play a central role in sustainable agricultural development and global food production.

MIS Solutions During Natural Disaster Management: A Review On Responsiveness, Coordination, And Resource Allocation

This systematic review explores the impact of Management Information Systems (MIS) on enhancing disaster management by optimizing decision-making, resource allocation, and inter-agency communication. As the frequency and severity of natural disasters increase globally, there is a pressing need for more efficient disaster response mechanisms. This study systematically reviewed a total of 160 peer-reviewed articles published between 2010 and 2024, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines to ensure a comprehensive and transparent review process. The findings reveal that MIS technologies, such as decision support systems (DSS), geographic information systems (GIS), and predictive analytics, play a crucial role in improving the speed and accuracy of emergency responses. Specifically, DSS and predictive models were found to enhance situational awareness and optimize resource deployment, reducing response times by up to 30%. Additionally, GIS tools significantly improved spatial data analysis, enabling better-targeted relief efforts. However, challenges related to data interoperability, cybersecurity, and the integration of advanced technologies remain significant barriers to fully leveraging MIS in disaster management. Addressing these challenges through investments in infrastructure, standardized protocols, and specialized training will be essential for maximizing the potential of MIS in future disaster response efforts. The review concludes that the strategic use of MIS is vital for building more resilient and responsive disaster management systems, ultimately reducing the socio-economic impacts of emergencies.

Digital Transformation in the Agri-food Sector: A Comparative Analysis of Industry 4.0 Innovations by Italian Sustainability Leaders

The agri-food sector is a key actor in the Italian economy and plays a crucial role in rescuing and accelerating progress towards the Sustainable Development Goals (SDGs). However, diverse sustainability challenges including environmental conservation, economic volatility, political changes and regulatory constraints affect the agri-food company’s competitiveness and their ability to face global sustainability challenges. Exploiting digital innovation is then essential. By facilitating more efficient management of resources, reducing waste and improving supply chain transparency, digital innovations contribute to more sustainable, inclusive and resilient agri-food systems. This paper aims to understand the ongoing digital transformation of the Italian agri-food sector through a comparative analysis of innovative practices by Italian agri-food companies that are recognized as sustainability leaders. Among the Industry 4.0 (I4.0) technologies, sensors, blockchain, cyber security, and artificial intelligence appear to be the most adopted I4.0 solutions to help companies influence the social, economic and environmental dimensions of sustainable development.

Nurse Managers' Experiences in Organisational Adaptation During Public Health Emergencies: A Qualitative Study.

To elucidate strategies for improving organisational adaptation during public health emergencies from the perspectives of nurse managers. This study utilised a qualitative approach, incorporating complex adaptive system theory within a phenomenological tradition. Semi-structured interviews were conducted from May 2022 to June 2022. Participants included core members of the Shanghai Public Health Emergency Teams-Nursing from 12 tertiary hospitals in Shanghai, all of whom had substantial experience as nurse leaders impacting health systems. Data obtained were coded and analysed using interpretative phenomenological analysis. Seventeen frontline nurse managers participated, leading to the emergence of three key themes related to complex organisational adaptation: seeking institutional support for environmental adaptation, building intrateam support for structural adaptation and activating individual support for behavioural adaptation. A conceptual framework of organisational adaptation was proposed, displaying the interconnections among these themes. The study provides valuable insights into managing nursing teams involved in public health emergency preparedness and response as an adaptive system. Identified managerial strategies offer guidance to ensure effective organisational assembly and optimal utilisation of the nursing workforce within the healthcare system. Recognising the crucial role of nurses in managerial positions, who leverage leadership, adaptability and decision-making skills to coordinate frontline teams, is vital for effective public health emergency response. Their involvement in administrative roles underscores the importance of nursing perspectives in strategic planning, organisational adaptation and enhancing health system resilience during crises. The organisational adaptation strategies effectively adopted by nurse managers provide a reference for international scholars seeking to enhance the function and performance of nursing staff in healthcare system during public health emergencies. Consolidated Criteria for Reporting Qualitative Research (COREQ) checklist. No Patient or Public Contributions.

Private sector engagement for immunisation programmes: a pragmatic scoping review of 25 years of evidence on good practice in low-income and middle-income countries

IntroductionMany National Immunisation Programmes attempt to leverage the private sector ; however, there is limited consolidated and synthesised documentation on good practices, gaps and lessons learnt. A 2017 WHO guidance...

Transparency of sustainability disclosure in agri-food value chain management: Mapping the scientific landscape

Sustainability transparency in agri-food value chains is crucial for fostering accountability, enhancing consumer trust, facilitating compliance with regulatory standards, and ultimately contributing to the resilience and sustainability of food systems in the face of social, environmental, and economic challenges. This paper aims to conduct bibliometric mapping and a systematic review of the scientific landscape concerning transparency of sustainability disclosure in agri-food value chains by identifying the key transparency dimensions and relevant research gaps. An analysis of 841 Scopus-indexed publications, utilizing Scopus tools, SciVal, VOS Viewer, and Biblioshiny software, yields insights into source and author mapping from 2000 to 2022. Bibliometric analysis underlines the increase in research interests in transparency of sustainability disclosure in agri-food value chains after Sustainable Development Goals adoption and the COVID-19 pandemic, following upwards trend, especially in the UK, India, and the USA. The most influential topic clusters are supply chain, environmentally preferable purchasing, and green practices, as well as Bitcoin, Ethereum, and Internet of Things with the strongest co-occurrences between transparency (as the most recent notion in scientific landscape) and sustainability, traceability, supply chains, food supply, and blockchain. Systematic review highlights the evidence that transparency as boundary-spanning phenomenon is explored within the mono-country and chain researches, case studies and interviews methodologies from triple bottom line dimension mainly, only introducing governance criteria. Research gaps were identified regarding the role of transparency in different economic system and chains; sustainability conceptual framework used; transparency dimensions incorporation; technology-driven progress and other chain characteristics (traceability, resilience) intersection. AcknowledgmentsInna Makarenko is gratefully acknowledging the support of MSCA4Ukraine project no. 1233713.