Cooperative Model Research Articles

Major diet of common carp (Cyprinus carpio L.) over different developmental stages in rice-field: agroecological interactions between fishes and rice in Sichuan, China, based on DNA metabarcoding approach

The rice-fish co-culture system (RFS) is a traditional cooperative farming model employed in southern China that can achieve doubling the harvest of rice (Oryza sp.) and fish. Most studies on RFS have focused on ecological mechanisms, benefits, ecosystem services, and agroecosystem functions; however, little is known about the baseline dietary composition in common carp of RFS, particularly across different developmental stages. In this study, we applied DNA metabarcoding of invertebrates (COI) and plants (Rbcl) to investigate the natural diets of common carp (Cyprinus carpio) across three developmental stages: juvenile (May), sub-adult (July), and adult (September). The animal-derived diets of common carp were dominated by prey from the orders Diptera, Lepidoptera, and Hemiptera, and the main plant-derived food items belonged to the families Poaceae, Araceae, and Hydrocharitaceae. We examined variations in the dietary compositions of common carp across three developmental stages to capture adaptations to seasonal changes in food resource availability. Additionally, we detected insect pests (species from the genera Macrosteles and Mythimna) and weeds (Eleusine indica, Alternanthera philoxeroides, Mazus japonicus, and Poa annua) in the diets of common carp, confirming the ecological benefits of common carp in rice fields by reducing insect pests and weeds. Characterizing the dietary composition and variation of common carp over developmental stages contributes to our understanding of its foraging ecology, dietary niche, and dynamics of trophic interactions, and provides critical information for evaluating the ecological benefits of common carp in RFS.

Impact of federated learning and explainable artificial intelligence for medical image diagnosis

Medical image recognition has enormous potential to benefit from the recent developments in federated learning (FL) and interpretable artificial intelligence (AI). The function of FL and explainable artificial intelligence (XAI) in the diagnosis of brain cancers is discussed in this paper. XAI and FL techniques are vital for ensuring data ethics during medical image processing. This paper highlights the benefits of FL, such as cooperative model training and data privacy preservation, and the significance of XAI approaches in providing logical justifications for model predictions. A number of case studies on the segmentation of medical images employing FL were reviewed to compares and contrasts various methods for assessing the efficacy of FL and XAI based diagnostic models for brain tumors. The relevance of FL and XAI to improve the accuracy and interpretability during medical image diagnosis have been presented. Future research directions are also described indicating as to integrate data from various modes, create standardised evaluation processes, and manage ethical issues. This paper is intended to provide a deeper insight on relevance of FL and XAI in medical image diagnosis.

Decision Making by Trade-In Programs in the E-Commerce Supply Chain, Considering Cash Rebate Strategies and Platform Services

As the consumer market becomes more saturated, the e-commerce supply chain (E-SC) has introduced the trade-in program in an attempt to drive consumption. This paper considers the strategy of the E-SC to provide cash rebates for consumers participating in the trade-in program and incorporates the e-commerce platform’s trade-in service efforts into the E-SC’s decision-making system. Depending on who provides the cash rebate, we construct four decision-making models of the E-SC, i.e., the no-cash-rebate model, the manufacturer model, the platform model, and the cooperative model, where both the manufacturer and the platform jointly provide the cash rebate. We show that the platform model reduces the trade-in service level, but the manufacturer model increases the trade-in service level. In addition, since the cash rebate increases operation costs, the sale price of products is inevitably improved. Furthermore, the platform model raises product demand, but the manufacturer model lowers product demand. The cooperative model proves effective in enhancing demand only when the manufacturer contributes a minor share of the cash rebate and the trade-in service is less efficient. Cash rebates can increase the E-SC’s profits, but the degree of this increase becomes smaller as the cash rebates increase. The manufacturer and the platform always want to exploit each other’s cash rebate strategies. Consumer surplus and social welfare are highest in the platform model and lowest in the manufacturer model. Taking into account the profits, consumer surplus, and social welfare, the platform model is the most conducive to E-SC system operations.

Research on Cooperative Arrival and Energy Consumption Optimization Strategies of UAV Formations

The formation operation of unmanned aerial vehicles (UAVs) is a current research hotspot, particularly in specific mission scenarios where UAV formations are required to cooperatively arrive at designated task areas to meet the needs of coordinated operations. This paper investigates the issues of cooperative arrival and energy consumption optimization for UAV formations in such scenarios. First, focusing on rotorcraft UAVs, the flight energy consumption optimization model and cooperative arrival model are derived and constructed. Next, to address the challenges in solving these models, the multi-objective non-convex functions are transformed into single-objective continuous functions, thereby reducing computational complexity. Furthermore, an interior-point-method-based solving strategy is designed by estimating the initial values of the solving parameters. Finally, simulation experiments validate the feasibility and effectiveness of the proposed method. The experimental results show that when optimizing the energy consumption of a formation of five UAVs, the algorithm converges in just 16 iterations, demonstrating its suitability for practical applications.

Bibliometric and visual assessment of research trends in the management of hyperuricemia (HUA).

To analyze the development status and trend of related research in the health management of hyperuricemia and provide a theoretical basis for clinical treatment. A bibliometric analysis was conducted on hyperuricemia health management research data from 2000 to 2024 using the Web Science Core Collection database, PubMed, and SINOMED. A total of 789 articles were evaluated for specific characteristics, such as year of publication, journal, author, institution, country/region, reference, and keyword. The VOSviewer was used for co-author, co-occurrence, co-citation, and network visualization. Important sub-topics identified by bibliometric characteristics were discussed and reviewed. The number of articles published in the last 24years has generally followed a year-on-year trend, and the total number of papers published is increasing. Over 200 affiliations from 70 countries and regions contributed papers, and PLOS ONE has the highest number of linked publications. Dalbeth N, is the author with the most publications, with an H-index of 17. Hyperuricemia, gout, management, prevalence, allopurinol, risk, and other keywords were often used. Researchers formed mature teams, and the teams' study directions intersect and are comparable. However, these teams demonstrated a lack of communication and coordination. This study highlights research hotspots, global cooperation models, and emerging frontiers in hyperuricemia, focusing on uric acid control, disease screening, health education, and epidemiological investigation in hyperuricemia-associated complications over the past two decades. However, there is still a lack of standardized management processes and systems, and the communication between research teams needs to be enhanced. Key Points • The study analyzed hyperuricemia health management research data from 2000 to 2024 using the Web Science Core Collection database, PubMed, and SINOMED, evaluating 789 articles and discussing key sub-topics using VOSviewer. • Over 200 articles from 70 countries, including PLOS ONE, have been published over the past 24 years, focusing on hyperuricemia, gout, management, prevalence, allopurinol risk, etc. • Our study outlines research hotspots, global cooperation models, and emerging hyperuricemia frontiers, emphasizing the need for standardized management processes and improved communication between research teams.

Does hospital strategic alliance affect the paediatric service capacity of local hospitals? A difference-in-differences econometric analysis

BackgroundHealth inequality caused by the scarcity and uneven distribution of paediatric service resources is common worldwide. The hospital strategic alliance may improve paediatric service capacity and health equity, but this...

A Model of Psychological Cooperation with the Polish National Ski Jumping Team

The aim of this article is to present a model of a sports psychologist’s work with the Polish national team in skijumping. Considering the tendency of sport psychology to use empirically verified models of working with ath-letes (Zdebski, Blecharz, 2004), in this article, the theoretical premises and practical applications are presented ofthe MAC model (Gardner, Moore, 2006, 2007). In the first part of the article, characteristics are demonstrated of theski jumping discipline, with particular emphasis on its extreme nature, which requires appropriate predispositionsand skills from athletes. The rules of the competition and specific requirements for jumping technique are brieflypresented. In the second part of the article, the theoretical basis is given of the proposed MAC model and the justi-fication for using this concept in cooperation with athletes. The importance of mindfulness, acceptance and com-mitment training in ski jumping is discussed in detail and the use of such interventions is justified. In the last partof the paper, an example of the application regarding the adopted model in working with an athlete is covered.

Rethinking The Mosul Dam: A Reassessment of Its Impact Beyond the Traditional Narratives

The Mosul Dam, one of Iraq’s most significant infrastructural projects, has been the subject of extensive debate and scrutiny, often overshadowed by negative narratives concerning its safety and environmental impact. These narratives overlook the dam’s significant function in creating food and energy and fostering local, regional, and global water cooperation. This article seeks to provide a comprehensive revaluation of the dam’s contributions to water management and diplomatic relations. By systematically addressing the prevalent criticisms, this study highlights the recent renovation works that extended the dam’s lifespan. These works, which will be examined with a quantitative methodology in the study, involved the Iraqi Government, the Kurdish Regional Government, the United States and Italy. These four entities contributed with joint efforts to make the dam safer, forging trust and collaboration on multiple levels. The Mosul Dam serves as a model for international water cooperation, illustrating the potential for large-scale infrastructure projects to contribute to peace and stability. The reassessment provided in this study advocates for a more nuanced understanding of the Mosul Dam, recognizing its pivotal contributions to water security and international cooperation, which are essential for the region’s sustainable development and beyond.

Enhancing stability and flexibility of platoon control with an adaptive spacing policy

Connected and Automated Vehicles (CAVs) forming platoons have shown significant potential in enhancing traffic flow. This paper proposes a cooperative platoon control model using MPC integrated with the CTG spacing policy to improve both platoon stability and overall traffic performance. This integration offers greater flexibility and practicality compared to the CS-based model. Additionally, the control model includes a safety constraint with high flexibility to prevent collisions. We numerically analyse the asymptotic stability of the proposed control model to address its mathematical complexity. A wide range of parameter configurations and weight assignment schemes were tested to provide rigorous proof of the model's asymptotic stability. Numerical experiments show that the CTG-based model offers better stability than the CS-based model, though it leads to larger spacings at higher vehicle speeds. Moreover, traffic simulation results demonstrate that the CTG-based model outperforms the CS-based model in mitigating traffic oscillations and reducing congestion.

Two-Stage, Three-Layer Stochastic Robust Model and Solution for Multi-Energy Access System Based on Hybrid Game Theory

This paper proposes a two-stage, three-layer stochastic robust model and its solution method for a multi-energy access system (MEAS) considering different weather scenarios which are described through scenario probabilities and output uncertainties. In the first stage, based on the principle of the master–slave game, the master–slave relationship between the grid dispatch department (GDD) and the MEAS is constructed and the master–slave game transaction mechanism is analyzed. The GDD establishes a stochastic pricing model that takes into account the uncertainty of wind power scenario probabilities. In the second stage, considering the impacts of wind power and photovoltaic scenario probability uncertainties and output uncertainties, a max–max–min three-layer structured stochastic robust model for the MEAS is established and its cooperation model is constructed based on the Nash bargaining principle. A variable alternating iteration algorithm combining Karush–Kuhn–Tucker conditions (KKT) is proposed to solve the stochastic robust model of the MEAS. The alternating direction method of multipliers (ADMM) is used to solve the cooperation model of the MEAS and a particle swarm algorithm (PSO) is employed to solve the non-convex two-stage model. Finally, the effectiveness of the proposed model and method is verified through case studies.

The african continental free trade area (AFCFTA) as an opportunity for Algeria to expand into the African market

This study examines how Algeria can benefit from the African Continental Free Trade Area (AfCFTA) as a model for economic cooperation among African countries. It includes an analysis of the importance of intra-African trade compared to global trade, then focuses on analyzing the foreign trade of Algeria. examining the nature and level of Algeria's foreign trade with Africa and the rest of the world during the period 2021-2023, as well as assessing the compatibility between Algerian exports and the needs of African countries. The study concludes by identifying several categories of goods that Algeria can export, and that the African market needs at the same time.

Le bambine e i bambini come soggetti attivi della cura dei luoghi: il caso del Contratto di Fiume Ombrone

Children have long been recognised as capable thinkers and active participants in shared educational experiences. However, in spatial planning practices they are often viewed as mere users of a dedicated space. This contribution presents an action-research experience that retraces the empowerment process of the children in a municipality. It does so through the restitution of the projects resulting from the co-construction of a River Agreement. The aim is to adopt a new perspective that views children as agents of transformation, as active members of the community and its empowerment process, advocates for recognition pathways, and stewards of commons. To this end, the conclusions suggest promoting cooperative planning models with a social function that welcomes children as active participants in the care of public spaces and the promotion of social initiatives.

Effect of Vertical Diversification on Sustainable Livelihoods among Fish Farmers in Kakamega County, Kenya

This study examined the effect of vertical diversification on sustainable livelihoods among fish farmers. The study employs descriptive and survey research designs to collect data from 350 randomly selected fish farmers across the 12 sub-counties in Kakamega County, Kenya. Findings indicate that vertical diversification, through value addition, processing, and packaging, significantly impacts sustainable livelihoods. The results demonstrate that vertical diversification contributes to income gains, physical asset accumulation and social capital growth. The study concludes that fostering vertical diversification strategies, improving access to financial services and promoting cooperative farming models can significantly enhance the livelihoods of fish farmers. These findings underscore the need for policy interventions to support rural economic diversification. The study further recommends improvement of farmers’ access to financial services as well as promotion of cooperative farming for better outcomes.

Demand-side shared energy storage pricing strategy based on stackelberg-Nash game

With the large-scale access of user-side energy storage devices, shared energy storage has emerged as a key mode of energy storage in distribution networks. This mode requires efficient management of energy storage devices that balances the interests of different entities such as power supply enterprises, shared energy storage operators, and prosumers. In this mode, the formulation of charging and discharging prices is crucial. This paper proposed a dual-layer pricing model for shared energy storage systems based on mixed-game theory and its solution method. First, this study developed an upper-level stackelberg game model between the power supply enterprise and the cooperative alliance. The power supply enterprise, acting as the leader, sought to minimize operational costs while negotiating transaction electricity prices with the cooperative alliance. Second, a cooperative game model was developed within the lower-level alliance. As followers, the cooperative alliance seeks to maximize the alliance’s overall benefits. Based on the upper-level transaction electricity price and Nash bargaining theory, the internal transaction electricity price within the alliance was determined through negotiation. Subsequently, charging and discharging strategies were formulated along with a profit distribution mechanism. Finally, case studies simulations were used to validate the feasibility and effectiveness of the proposed model.

An IoT‐Based 5G Wireless Sensor Network Employs a Secure Routing Methodology Leveraging DCNN Processing

ABSTRACTThe security principles of the fifth generation (5G) are anticipated to include robust cryptography models, information security models, and machine learning (ML) powered Intrusion Detection Systems (IDS) specifically designed for Internet of Things (IoT) based wireless sensor networks (WSNs). Nevertheless, the existing security models fall short in addressing the dynamic network characteristics of WSNs. In this context, the suggested system introduces a secure and collaborative multi‐watchdog system through the implementation of deep convolutional neural network (DCNN) and distributed particle filtering evaluation scheme (DPFES). The proposed system utilizes deep learning (DL) techniques to create a dynamic multi‐watchdog system that safeguards each sensor node by monitoring its transmissions. Furthermore, the proposed approach includes secure data‐centric and node‐centric evaluation methods that are crucial for enhancing the security of 5G‐based IoT‐WSN networks. The network evaluation processes based on DL facilitate the creation of a secure multi‐watchdog system within dense IoT‐WSN environments. This system enables the deployment of active watchdog IDS agents as needed. The proposed approach includes various components such as a system dynamics model, cooperative watchdog model, Dual Line Minimum Connected Dominating Set (DL‐MCDS), and DL‐based event analysis procedures. From a technical perspective, the system is driven by the implementation of DPFES, which utilizes particle filtering frameworks to analyze network events and establish a secure 5G environment. The system has been successfully implemented, and its results have been compared with those of other similar works. The performance of the proposed cooperative multi‐watchdog system demonstrates a significant improvement of and compared to other techniques.

Optimization of the cooperative electronic commerce model for sustainable development in the context of ecological environment conservation

AbstractThis study aims to explore how to optimize the cooperative electronic commerce model in a sustainable ecological environment to meet the needs of consumers while maximizing social and economic benefits. The empirical research method is adopted, which mainly includes a literature review, case analysis, and questionnaire. Firstly, through a literature review, this study introduces and analyses the concept of sustainable ecological environment and the development and optimization direction of cooperative electronic commerce model in detail, providing a theoretical basis and thought guidance for subsequent research. Secondly, this study selects several representative cooperative electronic commerce platforms for case analysis. It explores their operation mode, product characteristics, service quality, and social benefits to summarize the experience and lessons of optimizing cooperative electronic commerce model. Finally, a questionnaire is designed to sample the consumers of cooperative electronic commerce. By analysing the results of questionnaire, the following conclusions are drawn. (1) 54.3% of respondents said they had used the cooperative electronic commerce model, with agricultural products purchasing (23.5%) and community service (18.9%) using it more frequently. (2) The cognition level of sustainable development was high overall, with 62.6% believing that it was essential for the future. (3) A multiple linear regression model explored the relationship between using the cooperative electronic commerce model and sustainable development cognition. The results reveal that adopting cooperative electronic commerce model has a significant positive impact on the cognition of sustainable development, which indicates that the promotion and use of this model can promote cognition and practice of sustainable development.

On the issue of the influence of cooperative relations on the efficiency of the implementation of state defense orders

The subject of this study is the cooperation of participants in the implementation of the state defense order of the Russian Federation, which plays a key role in ensuring national security and technological development of the country. The study examined the theoretical foundations of cooperation in the implementation of the state defense order, analyzed the existing models of cooperation between participants in the state defense order. Using the mathematical apparatus, an assessment of the effectiveness of the management of the cooperation system was carried out using one of the cooperation models as an example. Conclusions were made regarding the conditions for the formation of stable and sustainablecooperation.

Construction and Application Effect Analysis of Orthopedic Pain Care Ward under Multi-Disciplinary Cooperation Model

Aims/Background A multidisciplinary team (MDT) approach is a nurse-led pain management method that involves collaboration with staff from other departments. The purpose of this paper was to discuss the construction and application effect of a pain care ward in orthopedics utilizing the MDT approach. Methods A retrospective analysis of case data was conducted, selecting 90 patients with hip joint fractures who underwent hip replacement arthroplasty (HRA) at our hospital between February 2021 and February 2024. The patients were divided into two groups based on the nursing methods: a control group (n = 43), which received a conventional analgesic management program, and an intervention group (n = 47), which received the same conventional analgesic management program along with the implementation of an orthopedic pain care ward under the MDT approach. The study compared the pain knowledge and attitudes of the responsible nurses in both groups through questionnaires. Additionally, the accuracy of pain assessments and the awareness rates of patients’ pain-related health education were evaluated and compared between the two groups. Furthermore, the effectiveness of pain intervention, range of motion (ROM), and Hospital for Special Surgery (HSS) scores before and after the intervention were analyzed. The incidence of complications and overall nursing satisfaction were also compared between the two groups. Results The general knowledge, pain assessment, drug analgesia, comprehensive application, and total scores of nurses in the intervention group were significantly higher than those in the control group (p < 0.05). The accuracy rate of nurses’ pain assessments and the awareness rate of patients’ pain health education in the intervention group were 91.49% and 93.62%, respectively, both significantly higher than the 72.09% and 79.07% observed in the control group (p < 0.05). The total effective rate of pain intervention in the intervention group was 74.47%, significantly higher than the 53.49% in the control group (p < 0.05). After the intervention, both the ROM and HSS scores in the intervention group were significantly higher than those in the control group (p < 0.05). The overall incidence of complications in the intervention group was 6.38%, significantly lower than the 20.93% in the control group (p < 0.05). Finally, the total satisfaction rate with nursing care in the intervention group was 91.49%, significantly higher than the 74.42% in the control group (p < 0.05). Conclusion The construction and application of an MDT pain care ward can effectively enhance the accuracy of nurses’ pain assessments, increase patients’ awareness of pain-related health education, and improve the efficiency of pain interventions. Additionally, it can lead to better joint mobility and improved hip function, promoting the sustainable development of the pain care ward. These improvements contribute to higher patient satisfaction and enrich the quality of nursing services.

PROMOTING THE INTERNATIONALIZATION OF THE POPNEURO, A SUCCESSFUL NEUROPHYSIOLOGY OUTREACH PROGRAM.

Here, we report a successful initiative between Brazil and Germany to stimulate neuroscience outreach: the POPNeuro Program. The POPNeuro Program is a neuroscience outreach project created in Brazil that has been active for over ten years. It was initiated in Uruguaiana/RS/Brazil and linked to the Physiology Research Group from the Federal University of Pampa. The neuroscience dissemination was developed mainly in school environments by a team that includes neuroscientists and university undergraduate and graduate students. One of the key focuses of POPNeuro is to identify and avoid the dissemination of neuromyths (misconceptions generated by a misunderstanding, a misreading, or a misquoting of scientific facts). Following an initial research cooperation, the Brazilian and German teams decided to replicate some of the POPNeuro activities in Germany. The POPNeuro spin-off developed the first activities in Germany included neuroscience disclosure activities during the TUC Open Campus Day and a Neuroscience of Learning course for sports and physical education teachers. During the activities, participants took a quiz to identify the prevalence of neuromyths and knowledge of neuroscience facts. The results demonstrate a high prevalence of neurotmyths between the different participants. Despite the socio-cultural differences, these results are in line with previous results from POPNeuro in Brazil. Considering our experience and the participants' evaluations, we are confident that promoting the internationalization of this successful neurophysiology outreach program, expanding the Brazilian POPNeuro program in Germany will have a positive impact. This initiative represents a model of international cooperation that should be stimulated.

The triple-helix model as foundation of innovative entrepreneurial ecosystems

Purpose Recommend ways to increase the entrepreneurial performance score for city-centered entrepreneurial ecosystems (EES) and the possible role within the triplex helix concept. The former applies to lower-ranked EESs. For the latter, the authors hypothesize that the standard triple helix model of counting on some existing, well known multi-party interest in bringing together businesses and other stakeholders (especially universities and government) is insufficient. Including more players and alternative cooperation models may truly enable a long lasting productive interplay of cooperative and competitive forces leading to genuinely innovative (non-marginal, non-opportunistic) businesses and also to more regional well-being. This study aims at leveraging the city-based view on entrepreneurial ecosystems, to enable new ways of boosting the functionality of triple-helix minded programs, especially so for emerging economies and their cross-border regions. Design/methodology/approach Methodology is dual: (1) paying tribute to the history of entrepreneurial behavior and reviewing the diverse sources of support (institutional and otherwise), eventually leading to today’s concentrations of successful innovative business, and (2) analyzing modern data on performance of city-centered EESs. Putting emphasis on path-dependence (meaning that history matters) the authors analyze data distributions of measures concerning city-centered EESs and also nation-wide entrepreneurial aggregates, searching signs of long-tail statistic, an indicator of path dependence. Furthermore the authors statistically analyze if and to what extend, key university performance indices translate into successful EESs. From these results, recommendation follow. Findings Historical developments and cultural backgrounds of different countries lead to different ways of support for new ideas and approaches. Entrepreneurship success is path-dependent and there are entrepreneurial approaches more easy – but others way more difficult – to imitate (e.g. “Hidden Champions”). Statistical analysis of entrepreneurial performance data confirms power law decay, which confirms the action of path-depend processes. Statistical models show that university performance is just weakly influencing entrepreneurial success. This leads to proposing a new, polycentric approach for organizing robust cooperation between the stakeholders, potentially capable of lifting low-score EESs into a more productive regime. Research limitations/implications Research limitation primarily concern data availability, as potentially useful information is not publicly available. The findings lead to further questions, and to questioning too optimistic expectations about cooperation readiness of the implied triple helix stakeholders. As pointed out repeatedly, other important players are non-university research organizations with more focused goals (national labs, etc.), which should be explicitly accounted for. Another directions is distinguishing between support for (a) short-term high-tech, and for (b) longer term, deep-tech entrepreneurs. The latter may require new evaluation techniques and specially tailored private-public partnerships. Finally, polycentric and polycentric cross-border cooperation requires more research into networked organizations. Practical implications Triple-helix based, cooperative agreements should rethink the effective functionality of EESs. City-centered, EESs tend to be most expressive in their projects but also subject to a stronger long tail-effect. This implies “success-breads-success” for the front-runners, enjoying very low ranking mobility. Lower-positioned EESs may profit from the mobility within this score region. However, the still lower positioned ones face strong downward rank mobility, implying that special effort (support) is needed. The authors’ proposal of polycentric cooperation, especially the cross-border variant, would credibly enable such support by bringing in both, more players and more levels of play, helping robust networking. Social implications This research has potentially profound social implications. Acknowledging the path-dependence of intellectual capital formation and emergence of entrepreneurial spirit in the modern sense helps to understand which techno-entrepreneurial endeavors would have increased chance of success of being brought up in the respective EES. It is also useful to identify the oversold (over-hyped) entrepreneurial projects. Concerning the cross-border polycentric organizations harboring EESs one may have to concede that national borders are sub-optimal, at least with regard to lifting up the entrepreneurial reputation of border-adjacent regions. Implicitly, opportunistic and marginal entrepreneurship (e.g. in Eastern Europe) would reduce. Originality/value This research claims originality for combining a qualitative-historical approach with a statistical modeling approach, which can explain the dynamic nature of the involved entrepreneurial processes (long-tails). While the historical approach is deemed to be necessary for understanding the reasons for the large differences in entrepreneurial success across nations and regions, the statistical modeling is helping to identify lower-score intervals within the entrepreneurial score hierarchy which are more easy, or, alternatively, very hard to escape. This in turn leads to adapted recommendations and mobilizing special efforts for creating new, potentially robust, cooperative arrangements beyond the triple-helix concept.