Cooperative Mode Research Articles

Research on military-civilian collaborative innovation of science and technology based on a stochastic differential game model.

The construction of an integrated national strategic system and capability is an essential goal of implementing the strategy of military-civilian integration in the contemporary era. And the collaborative innovation of military-civilian S&T is an inevitable choice to achieve this goal. Due to the dynamic, complex, and stochastic characteristics of military-civilian S&T collaborative innovation, the level of S&T innovation is highly volatile. This paper takes the internal and external stochastic disturbance factors of military-civilian S&T collaborative innovation as the perspective, studies the strategy selection problem of military-civilian S&T collaborative innovation under military domination, constructs a differential game model to explore the innovation strategies under the non-cooperative model without military subsidies, the non-cooperative model with military subsidies, and the collaborative model. Finally, we use numerical experiments to verify the validity of the conclusions. The study shows that: (1) Within a reasonable range of values of the benefit distribution coefficient, the system can achieve the Pareto optimum, and the collaborative model is conducive to improving the S&T innovation level and the optimum benefit level of the system. (2) Military subsidies can increase the benefits of the system and the parties involved to achieve Pareto improvement. (3) The level of S&T innovation under the collaborative model has dynamic evolutionary characteristics of maximum expectation and variance. As the intensity of disturbance increases, the stability of the system may be destroyed. Risk-averse civil enterprises prefer the cooperative mode, whereas risk-averse civil enterprises prefer the non-cooperative model.

Fractures overseen: soviet medical experts splitting from the international epistemic community during the interwar period

ABSTRACT Soviet medical science went through a deep and systematic transformation. Initiated in the very early days of the Communist regime, a moment of disrupting and isolating impact uprooted it from its former organizational and epistemic foundations and re-adjusted the expert output and modus operandi to state needs. Professional identities, paradigmatic approaches and everyday practices resulting from these were transformed and forcibly aligned with the expectations of the new powerholders, aligned with the newly formulated party-bound loyalties and secured by the broad array of severe sanctions. This article systematically approaches the dark side of the Soviet interwar transformation in medicine with a special focus on a sample of psychiatric experts. The paper analyses the entanglement between domestic pressures exercised upon scholars by the emerging totalitarianism, forcing them to detach and considerably re-adjust their international ties, while nonetheless trying to remain a part of this cross-border epistemic community. While international contacts did not cease entirely, their expanse, intensity and the very mode of cooperation had to change dramatically so as to fit the new regime´s vision upon medicine. International networks were re-appropriated for the sake of promoting the success of the Communist state, with scholars functioning as involuntary ambassadors of the regime. Though perfectly compatible with the practices and outputs of their fellow experts elsewhere across the globe while exposed to the permanent pressure of political terror at home, Soviet public health and its experts became deeply transformed and detached in manifold ways from their peers and their medical science. Largely overlooked, the early fractures of the interwar period carry on into the Cold War-influenced second half of the twentieth century.

A Study on the Cooperative Learning Mode in Business English Reading Course

With the advancement of globalization, the importance of business English in higher education is increasingly prominent. This paper aims to explore the effectiveness of introducing the cooperative learning mode in teaching business English reading course. This paper first analyzes the current situation of teaching business English reading course, and then discusses the application of cooperative learning mode in teaching business English reading course. Finally, through empirical research, the effectiveness of cooperative learning mode in improving business English reading ability is verified.

Cooperative Operation of Distributed Energy Resources and Thermal Power Plant With a Carbon-Capture-Utilization-and-Storage System

Carbon-capture-utilization-and-storage (CCUS) system plays a critical role in the process of decarbonization. This paper proposes a cooperative operation model for a CCUS-based thermal power plant and distributed energy resources. The critical purpose is to achieve a higher profit and flexibility together with a lower carbon emission for the CCUS system under the electricity, carbon, ancillary services, and synthesis fuel markets. First, to enhance the operational flexibility in various markets, a critical focus of this paper is on elaborating feasible operation domain of the CCUS system through identifying the physicochemical processes associated with carbon dioxide (CO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> ) treatment and multi-energy conversion. Second, a Nash-bargaining framework is developed to describe how the CCUS works with distributed energy resources cooperatively to consume cheap and clean renewables to treat CO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> . Third, to solve the cooperative operation problem efficiently and accurately, an adaptive sequential cone programming (ASCP) method together with a progressive hedging variant of the Benders decomposition (PH-BD) algorithm are designed. Case studies indicate the total revenue of the thermal power plant under the cooperative mode is improved by up to 8.85% and 66.53% compared with the individual mode with and without the CCUS. Further, the solution quality and efficiency of proposed methods are verified.

Development of Sino-Russian legal service cooperation in the context of hindered Eurasian integration

Due to the continuation of special military operations, the original mode of competition and cooperation in Central Asia has changed. The process of Eurasian integration has fallen into a temporary low tide, and the “Belt and Road” strategy has also been impacted. China and Russia have established a highly friendly comprehensive strategic partnership of coordination in the new era, and have maintained long-term high-level cooperation in various fields. Against the backdrop of the overall downturn in the world economy, bilateral trade has grown. In the face of Western sanctions, the economic and trade cooperation between Russia and European countries has gradually decreased, which will inevitably lead to the deepening of exchanges between Russia and China in the field. Whether the high-quality development of economic and trade cooperation or the docking and landing of long-term strategies, it is inseparable from the escort of the law. The current China-Russia legal services have such problems as narrow coverage, lack of legal talents, lack of dispute resolution mechanism, etc. Such scattered and fragmented legal services obviously cannot meet the needs of the development of Sino-Russian trade, and it is also unable to make timely adjustment in the face of the impact of the drastic international situation. This paper will sort out the development context of China- Russia legal service. Based on the current situation of legal service cooperation, this paper will analyze the shortcomings exposed in this field in the face of the drastic international situation, and put forward suggestions for the transformation and development of China-Russia legal service cooperation.

Blockchain-based e-commerce supply chain logistics management model innovation in the context of big data analysis

Abstract Facing the triple challenges of information opacity, inefficiency, and security in e-commerce supply chain logistics, this study turns to blockchain technology for solutions. Blockchain’s decentralization, transparency, and security features present fresh avenues for overcoming these obstacles. By harnessing the Adaboost algorithm, we optimize logistics data processing to bolster decision-making efficiency. Moreover, using game theory, we analyze how information sharing strategies among enterprises affect logistics management, advocating for a paradigm shift towards cooperative logistics modes. Implementing blockchain technology in our study led to a significant leap in logistics transparency and efficiency, with experimental data revealing a 20% decrease in logistics costs and a 30% enhancement in efficiency. These findings affirm the role of blockchain as a catalyst for innovation in e-commerce supply chain logistics, promoting a more efficient and secure information-sharing ecosystem.

Optimal decisions in power battery swapping closed-loop supply chain under different innovation investment modes

This paper researches the impact of different innovation investment modes on the closed-loop supply chain (CLSC) profit and pricing decisions under an uncertain recycling quality background. Furthermore, we construct a battery swapping CLSC under three innovation investment modes. The research results show that: (1) Under the cooperative innovation investment mode, the decision variables and CLSC system profit all reach the optimal level. (2) Increasing the subscription duration can promote the reduction of subscription price, which is beneficial to the improvement of innovation investment level. (3) When the innovation cooperation coefficient is within a certain range, it will promote the increase of profits for the CLSC. (4) The balanced battery ratio is an important factor affecting enterprise decision-making, and it has a more significant impact on the battery swapping operator. (5) The power battery manufacturer can dynamically adjust the echelon utilization quality threshold according to the echelon utilization value to achieve optimal profit.

Blockchain technology development promotes school-enterprise cooperation and industry-teaching integration talent cultivation mode innovation

Blockchain technology development promotes school-enterprise cooperation and industry-teaching integration talent cultivation mode innovation

Distributed Model Predictive Consensus Control for Stable Operation of Integrated Energy System

The stable operation of the integrated energy system (IES) is affected by the fluctuation of heat or electricity loads, energy or communication problems, and the interaction of different energy networks. To overcome above challenges, firstly, the integrated dynamic models with three-time scales are established for control design, fully considering dynamic behaviors, energy coupling, and constraints of power flow including electrical, heat and gas on network stability. Then, a novel distributed model predictive control (DMPC) consensus algorithm with process control and trajectory control is proposed to achieve stable operation for IES based on second-order cone programming (SOCP). A unified distributed cooperative control mode is formed in IES by implementing the proposed stability control method, which is suitable for different forms of energy. The control design takes into account the different dynamic characteristics of energy equipment and the energy coupling feature, which realizes the multi-scale time cooperation and dynamic process control for IES by tuning the control parameters. The optimal solution is obtained by rolling optimization for achieving frequency/voltage/temperature/pressure/flow regulation and consensus objectives. Finally, the proposed model and method are validated in various simulation scenarios, such as load variation, energy flow variation, nodes removed, and topology change.

Research on the training of applied talents in Electronic Information Engineering under the background of the Integration of Production and Education

The integration of production and education to cultivate applied talents refers to the establishment of close cooperative relationship between enterprises and colleges and universities, and the joint training of applied talents to meet the needs of society. The background and significance of this mode of cooperation lies in meeting the social demand for high-quality talents and promoting industrial development and economic prosperity. This paper takes the integration of production and education to train applied talents as the background, and takes the electronic information engineering major as an example, systematically discusses how to develop the integration of production and education to train applied talents in the electronic information engineering major. Through this research, it is expected to use theory to guide practice in the follow-up talent training to realize the leap-forward development of the major and the leap-forward improvement of the quality of student training.

Reform and Innovation of Chinese Language and Literature Teaching in the Perspective of Chinese Traditional Culture in the Internet Era

Abstract In the Internet era, the combination of traditional Chinese culture and the teaching of Chinese language and literature has become an important topic of education reform, and exploring its innovative mode is of great significance for the inheritance of culture and the enhancement of teaching effect. The study adopts the independent cooperation mode, builds a new cultural position based on the Internet, and adds classroom practice links to enhance the teaching effect. The teaching activities are designed based on the framework of self-study before class, interaction during class, and summarization after class. In addition, this study uses fuzzy C-mean clustering and multiple regression analysis to mathematically model educational data and deeply analyze the influencing factors of teaching quality. Teaching experiments showed that the reformed teaching model significantly improved students’ performance, and the average grade of students increased by 9.6130 points compared with the traditional teaching model. In addition, multiple regression analysis revealed that course completion, learning engagement and teaching interaction significantly affected students’ performance. The results of this study are of practical significance for promoting the innovative development of teaching Chinese language and literature.

A Study on the Application of Social Network Analysis Based Approach in the Optimization of Cultural Communication Paths and Efficiency

Abstract The optimization of cultural communication paths is an important part of Chinese culture’s continued dialogue with the world in the face of increasingly fierce international competition. In this paper, we use social network analysis to collect relevant data on the microblogging platform and analyze the overall network structure of “The Belt and Road Initiative” using network density, network distance, and clustering coefficients. Using social network analysis metrics, we calculate the node position of the network path of “The Belt and Road Initiative” and analyze the influence of each microblog account. We filter the cultural communication topics of “The Belt and Road Initiative”, scrutinize the participating regions, and establish the characteristics of the cooperation mode within this cultural communication. “The Belt and Road Initiative” has a network density of 0.247, 0.281, and 0.295, respectively, which indicates that the network density of these three topics is small and there is less information exchange, but the cohesive force of cultural communication is stronger. “People’s Daily,” “Central Committee of the Communist Youth League,” and “Phoenix Video” have high intermediary centrality (712.256, 700.425, and 695.253, respectively). The high intermediary centrality indicates that these nodes have a great influence on the flow of resources in the information dissemination network and can accelerate the efficiency of the “Belt and Road Initiative” cultural dissemination path.

Characteristics of Translation and Research of Chinese Classical Poetry in Russia

The study of Chinese classical poetry in Russia dates back several centuries, it is original, has its own bright, distinctive features, no matter in the period of Imperial Russia, the Soviet Union, or contemporary Russia, it always occupies a unique position in the world’s sinology field. In this article, the spread of Chinese classical poetry in Russia is systematically considered from such aspects as the interaction of translators and researchers, translations and works about poets, writers and their works, as well as translation principles and various aspects of research, originality, models of cooperation. This article points out that the study of Chinese classical poetry in Russia attaches great importance to translation, to the exploration of translation principles from the perspectives of rhyme, rhythm, form, paragraphs, tasks, and readers, to the combination of translation, annotation, and research, to the construction of academic terms, and the cooperative mode of poetry translation between Russian sinologists and poets. The paper notes that there are two important goals for Russia and Russian science in translating and researching Chinese classical poetry: firstly, they can serve to enrich national literature and write the history of Russian literature too; secondly, they can be used to introduce Chinese poetry into the context of the development of Russian and world culture. Russian translators and Sinologists-researchers will continue to contribute to the spreading of Chinese poetry and make it a part of world literature.

Exploring Inter-Brain Electroencephalogram Patterns for Social Cognitive Assessment During Jigsaw Puzzle Solving.

Social interaction enables the smooth progression of our daily lives. Mounting evidence from recent hyperscanning neuroimaging studies indicates that key components of social behavior can be evaluated using inter-brain oscillations and connectivity. However, mapping out inter-brain networks and developing neurocognitive theories that explain how humans co-create and share information during social interaction remains challenging. In this study, we developed a jigsaw puzzle-solving game with hyperscanning electroencephalography (EEG) signals recorded to investigate inter-brain activities during social interactions involving cooperation and competition. Participants were recruited and paired into dyads to participate in the multiplayer jigsaw puzzle game with 32-channel EEG signals recorded. The corresponding event-related potentials (ERPs), brain oscillations, and inter-brain functional connectivity were analyzed. The results showed different ERP morphologies of P3 patterns in competitive and cooperative contexts, and brain oscillations in the low-frequency band may be an indicator of social cognitive activities. Furthermore, increased inter-brain functional connectivity in the delta, theta, alpha, and beta frequency bands was observed in the competition mode compared to the cooperation mode. By presenting comparable and valid hyperscanning EEG results alongside those of previous studies using traditional paradigms, this study demonstrates the potential of utilizing hyperscanning techniques in real-life game-playing scenarios to quantitatively assess social cognitive interactions involving cooperation and competition. Our approach offers a promising platform with potential applications in the flexible assessment of psychiatric disorders related to social functioning.

Analysis of the Innovative Mode of Cooperative Education of Ideological and Political Education and Professional Education

Sino-foreign cooperationin Polytechnic University is one of the important forms of internationalization of higher education in the new era. However, under the mode of Sino-foreign cooperation, the collaborative education of ideological and political education and professional education in Colleges and universities is facing some difficulties. This paper makes an in-depth analysis of these dilemmas and explores the dialectical relationship between ideological and political education and digital transformation. Secondly, it puts forward the problem that the Sino-foreign cooperative curriculum system attaches little importance to ideological and political education, and discusses the conservative abstraction of the teaching mode of Sino-foreign cooperative ideological and political theory course. Finally, it points out the challenge that the Party and Youth League organization of college students majoring in Sino-foreign cooperation is not fully developed. In order to solve these problems, this paper puts forward the path of ideological and political education suitable for Sino-foreign cooperative education mode in polytechnic universities. Specifically, it includes the teaching mode of digital enabling ideological and political education courses, the construction of campus culture of ideological and political education in Sino-foreign cooperation, the cultivation path of "Teachers'Morality" in Sino-foreign cooperation and the reform of ideological and political education mode. Through the exploration and implementation of these paths, we can enhance the effectiveness of ideological and political education and cultivate high-quality talents with all-round development of morality, intelligence, physical fitness, beauty and labor. This paper makes an in-depth analysis of the innovative mode of ideological and political education and professional education in the perspective of Sino-foreign cooperation in polytechnic universities, which is of great significance to promote high-quality development.

Cooperative trucks and drones for rural last-mile delivery with steep roads

The cooperative delivery of trucks and drones promises considerable advantages in delivery efficiency and environmental friendliness over pure fossil fuel fleets. As the prosperity of rural B2C e-commerce grows, this study intends to explore the prospect of this cooperation mode for rural last-mile delivery by developing a green vehicle routing problem with drones that considers the presence of steep roads (GVRPD-SR). Realistic energy consumption calculations for trucks and drones that both consider the impacts of general factors and steep roads are incorporated into the GVRPD-SR model, and the objective is to minimize the total energy consumption. To solve the proposed model, an improved adaptive large neighborhood search (IALNS) algorithm is introduced, which incorporates several novel operators designed based on the characteristics of the problem. The effectiveness of the IALNS algorithm and the feasibility of the GVRPD-SR are verified through extensive computational experiments. Furthermore, a detailed sensitivity analysis is conducted on several critical parameters to derive managerial insights.

What Are the Obstacles to Promoting Photovoltaic Green Roofs in Existing Buildings? The Integrated Fuzzy DEMATEL-ISM-ANP Method

Photovoltaic green roofs can contribute to energy conservation in buildings and the sustainable development of cities, but they have yet to be widely used due to many factors. Therefore, it is necessary to investigate the factors limiting the promotion of photovoltaic green roofs and to clarify their interactions. Based on the existing literature and expert recommendations, this paper summarizes 20 factors affecting its promotion. Fuzzy DEMATEL was used to analyze the causal relationship and importance of the influencing factors. A hierarchical structure was established using the interpretative structural model (ISM) to visually represent the layered structure and pathways of the factors. The role and status of each influencing factor were determined using the cross-influence matrix analysis method (MICMAC). Finally, the analytic network process (ANP) was combined with the overall influence matrix to determine the overall weight of each factor. Combined with the DEMATEL-ISM-ANP method, nine key influencing factors, namely, the lack of incentive policies, imperfect technical specifications and evaluation standard system, local economic development level, residents’ cognition, residents’ willingness, enterprises’ technical problems, the lack of relevant talents, the lack of capital investment, and cooperation mode, were finally identified and analyzed, and suggestions and strategies for improvement were proposed.

A novel DT-based intelligent experiment method for complex industrial products

To alleviate the contradiction between multi-disciplinary coupling, high intelligence, and the difficulty in conducting direct experiments for product testing in the industrial field, a new method of intelligent experiment is proposed based on the digital twin. This method exhibits typical characteristics such as the joint integration of knowledge and data and the fusion of virtual and physical elements. The intelligent experiment technology framework suitable for complex industrial product experiment is established through a four-step intelligent experiment transformation method in the industrial field. These steps include a laboratory prototype experiment, a virtual simulation experiment, a hardware-in-the-loop experiment, and a virtual-physical fusion experiment. Aiming to address three typical engineering problems related to position and posture, posture and performance coupling, and micro force testing, three knowledge and data joint driving methods based on Virtual Reality (VR) multidisciplinary fusion calculations are proposed. A multi-agent operation scene is created, which maintains shape, space–time, physical behavior, performance, and macro–micro consistencies. Design and monitoring experiments are completed to achieve the co-evolution and closed-loop feedback between the physical and virtual dimensions. Taking the hydraulic support used in coal mines as an example, a high confidence agent model is established based on the single-machine hydraulic support posture monitoring and loading test bench. Through a virtual and physical cooperative operation mode involving multi-agents and physical models, six types of experiments are designed, including pose, force, and monitoring. Relevant experimental research shows that the requirements of industrial experiments can be met under laboratory conditions. This experiment framework can provide reliable experimental support for the optimization and intelligent monitoring of complex industrial products.

Combinatorial single-cell profiling of major chromatin types with MAbID

Gene expression programs result from the collective activity of numerous regulatory factors. Studying their cooperative mode of action is imperative to understand gene regulation, but simultaneously measuring these factors within one sample has been challenging. Here we introduce Multiplexing Antibodies by barcode Identification (MAbID), a method for combinatorial genomic profiling of histone modifications and chromatin-binding proteins. MAbID employs antibody–DNA conjugates to integrate barcodes at the genomic location of the epitope, enabling combined incubation of multiple antibodies to reveal the distributions of many epigenetic markers simultaneously. We used MAbID to profile major chromatin types and multiplexed measurements without loss of individual data quality. Moreover, we obtained joint measurements of six epitopes in single cells of mouse bone marrow and during mouse in vitro differentiation, capturing associated changes in multifactorial chromatin states. Thus, MAbID holds the potential to gain unique insights into the interplay between gene regulatory mechanisms, especially for low-input samples and in single cells.

Benefit allocation of electricity–gas–heat–hydrogen integrated energy system based on Shapley value

Abstract The integrated energy system is an important development direction for achieving energy transformation in the context of the low-carbon development era, and an integrated energy system that uses renewable energy can reduce carbon emissions and improve energy utilization efficiency. The electric power network and the natural gas network are important transmission carriers in the energy field, so the coupling relationship between them has been of wide concern. This paper establishes an integrated energy system considering electricity, gas, heat and hydrogen loads; takes each subject in the integrated energy system as the research object; analyses the economic returns of each subject under different operation modes; applies the Shapley value method for benefit allocation; and quantifies the contribution value of the subject to the alliance through different influencing factors to revise the benefit allocation value. Compared with the independent mode, the overall benefits of the integrated energy system increase in the cooperative mode and the benefits of all subjects increase. Due to the different characteristics of different subjects in terms of environmental benefits, collaborative innovation and risk sharing, the benefit allocation is reduced for new-energy subjects and increased for power-to-gas subjects and combined heat and power generation units after revising the benefit allocation, to improve the matching degree between the contribution level and the benefit allocation under the premise of increased profit for each subject. The cooperative mode effectively enhances the economic benefits of the system as a whole and individually, and provides a useful reference for the allocation of benefits of integrated energy systems. The analysis shows that the revised benefit distribution under the cooperative model increases by 3.86%, 4.08% and 3.13% for power-to-gas subjects, combined heat and power generation units, and new-energy units, respectively, compared with the independent function model.