Cooperative Mode Research Articles

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.

Åland, the Swedish People's Party, and the European Union: The Beginning of a Complicated Relationship

Abstract This study provides an analysis of the positioning of Ålandic political leadership vis-à-vis the demands of representation in the European Union (EU) and the corresponding reactions of the Swedish People's Party (SFP) during the referendums on EU membership. By analyzing news articles from 1994, this study shows that the SFP had already sought to establish for itself a mediating role between Ålandic expectations and the political realities on the Finnish mainland during the period leading up to membership in the EU. Founded in 1906, the SFP has traditionally branded itself as the flag bearer of Swedish interests in Finland. On face value, one would assume a lot of common political ground between the Ålandic political context and the Finland Swedish efforts to maintain equal status for Swedish as a national language in an overwhelmingly Finnish-speaking country. However, relations between the SFP and Åland have not always been smooth. Most notably, the party refused to support the Åland Movement's attempts to join Sweden between 1917 and 1921 and was firmly positioned with the other Finnish parties in supporting the claims of the Finnish state during the Åland question. While the rupture between Åland and the SFP never truly healed, they have been able to reestablish new forms of cooperation over the years. All members of parliament (MPs) elected from Åland have sat with the SFP MPs in the Swedish Parliamentary Group. Additionally, Members of the European Parliament (MEP) from the SFP that have been elected since 1995 have consistently hired political assistants from Åland and unlike the other Finnish parties, have been committed to the idea that Åland should get an MEP for itself. This study summarizes the historical modes of cooperation between the SFP and Åland, with particular focus on the SFP's positioning regarding Ålandic demands of representation during the EU membership referendum process. This article shows that EU membership has created a new forum for conflict and cooperation between Åland and the SFP through the struggle for representation in the EU organs, namely the European Parliament. This crucial historical period is analyzed through the lens of “sovereignty games,” which allows for an analysis of the paradiplomacy of an autonomous region within a nation state through a national minority party. As a result, this study highlights the need for a differentiated account of the political interdependence of the SFP and Åland and the importance of avoiding interpreting one side's perspective from the standpoint of the other.

The dynamic evolution of an industrial innovation ecosystem: a case study of Around-Tongji Knowledge Economy Circle (Shanghai)

Purpose The purpose of this paper is to analyse the development and evolution of industrial innovation ecosystems of Around-Tongji Knowledge Economy Circle from the three levels mentioned above, focusing on knowledge-producing populations, core populations and service-supporting populations, and to further develop this research framework by combining with the latest developments. Design/methodology/approach Based on the five-helix theory and economic census statistical data, this paper adopts geographic information system technology and examines the characteristics of the industrial innovation ecosystem and the synergistic evolution process in Around-Tongji knowledge economy circle. Findings The knowledge product populations lead the development of industries in Around-Tongji Knowledge Economy Circle. It contributes political capital output for the government. It innovates community cooperation and governance mode, and it improves the natural ecological environment. In the face of the changes and challenges in the development environment, the future development must be recognised from the height of the iterative development of the interaction mode between university knowledge production and economic and social development. Originality/value Based on the five-helix theory and economic census statistical data, this paper examines the characteristics of the industrial innovation ecosystem and the synergistic evolution process in Around-Tongji Knowledge Economy Circle. It further expands the research framework used to develop a synergistic evolution model, which reveals the interactive and synergistic relationship among the populations and the evolution characteristics of the entire industrial innovation ecosystem. This paper also provides useful perspectives for the study of the industrial innovation ecosystem.

The Use of Cooperative Learning in High School English Writing Teaching

Against the backdrop of the new curriculum and college entrance examination reforms, the weightage of high school English writing scores in college entrance examination papers has increased significantly. Consequently, the expectations for high school English writing have also risen, making it an indispensable aspect of language learning. In this regard, teachers must prioritize students' autonomy, cooperation, and inquiry-based learning experiences, particularly in English classrooms, where they should create an enabling environment for effective English education. High school English teachers must emphasize cooperative learning in writing classes to enhance students' language expression and writing skills. Meanwhile, teachers must continually explore efficient methods of improving students' English writing ability. This paper addresses the challenges facing the current cooperative learning mode in high school English writing teaching and proposes measures to overcome them, hoping to inspire and assist the development of cooperative learning in high school English classes.

A Study on the Application of Chat-GPT in Media Production and Communication

In the 21st century, with the rapid development of Internet technology, peoples ways and attitudes of transmitting information are changing every minute, and the media environment is also changing rapidly. Among the technologies that have greatly changed the media environment in recent years, Chat-GPT is the first to bear the brunt. It can understand and automatically generate languages, have real-time interactive dialogues with users, and constantly improve the answers. Its participation in the field of media content production and dissemination is constantly expanding. Its participation in the field of media content production and dissemination is constantly expanding. However, while using it, people also have a sense of crisis. Whether Chat-GPT will replace media people has become a hot topic. This paper will explore the background and function of Chat-GPT, make a comparative analysis of its shortcomings compared with human beings, sum up a new mode of human-computer cooperation in which human beings and Chat-GPT jointly participate in the production and dissemination of media content, and elaborate on the application scenarios and possible risk challenges of this mode, as well as the practical changes to the media environment.

Designing Self-Enforcing Programs Embedded in the Local Economy: The Key for Successful International Cooperation of Vocational Education

International education cooperation is conducive to promoting the cross-border circulation of advanced educational experiences and enhancing global human capital. China has become the main destination for students from developing countries, and how to better carry out international cooperation programs in Chinese education has become an important issue. This paper focuses on international cooperation in the field of vocational education and takes a vocational college in China as a case to explore the performance of different international cooperation modes between China and developing countries. The study did a within-case design, and three projects representing three modes of cooperation were selected for comparison. The article believes that the key to success lies in the design of cooperation, and those projects which closely integrate local industries, colleges and students will thrive and prosper. The article answers the question of how international cooperation in vocational education should be carried out.

Biomimetic “Gemini nanoimmunoregulators” orchestrated for boosted photoimmunotherapy by spatiotemporally modulating PD-L1 and tumor-associated macrophages

A novel strategy of not only stimulating the immune cycle but also modulating the immunosuppressive tumor microenvironment is of vital importance to efficient cancer immunotherapy. Here, a new type of spatiotemporal biomimetic “Gemini nanoimmunoregulators” was engineered to activate robust systemic photoimmunotherapy by integrating the triple-punch of amplified immunogenic cell death (ICD), tumor-associated macrophages (TAMs) phenotype reprogramming and programmed cell death ligand 1 (PD-L1) degradation. The “Gemini nanoimmunoregulators” PM@RM-T7 and PR@RM-M2 were constructed by taking the biocompatible mesoporous polydopamine (mPDA) as nanovectors to deliver metformin (Met) and toll-like receptor 7/8 agonist resiquimod (R848) to cancer cells and TAMs by specific biorecognition via wrapping of red blood cell membrane (RM) inlaid with T7 or M2 peptides. mPDA/Met@RM-T7 (abbreviated as PM@RM-T7) was constructed to elicit an amplified in situ ICD effect through the targeted PTT and effectively stimulated the anticancer immunity. Meanwhile, PD-L1 on the remaining cancer cells was degraded by the burst metformin to prevent immune evasion. Subsequently, mPDA/R848@RM-M2 (abbreviated as PR@RM-M2) specifically recognized TAMs and reset the phenotype from M2 to M1 state, thus disrupting the immunosuppressive microenvironment and further boosting the function of cytotoxic T lymphocytes. This pair of sister nanoimmunoregulators cooperatively orchestrated the comprehensive anticancer activity, which remarkably inhibited the growth of primary and distant 4T1 tumors and prevented malignant metastasis. This study highlights the spatiotemporal cooperative modalities using multiple nanomedicines and provides a new paradigm for efficient cancer immunotherapy against metastatic-prone tumors.

How Key Opinion Leader Triggers Consumer Response: A New Way to Market Absorption in Digital Marketing - A Case Study Based on the National Brand Florasis

Nowadays, with the rapid development of the internet and social media, the way people receive information has changed dramatically and they use online platforms to get up-to-date information, thus influencing their consumption decisions. This study explores how KOL triggers consumer resonance based on the case study of national brand Florasis. Through in-depth analysis of the cooperation mode between Florasis and Li Jiaqi, the study finds that KOL plays an important role in the contemporary marketing market. The results of the study show that Florasis has maximised its personal influence on product sales through its in-depth cooperation with Li Jiaqi, thereby achieving rapid growth in brand sales. However, the study also points out that over-reliance on KOLs can be risky, and there is a need to strike a balance and explore innovative cooperation models. This study has important implications for companies and marketing practitioners, helping them to better understand and apply KOL marketing strategies to enhance brand competitiveness in the marketplace.

Cooperation Mode and Operation Strategy for the Union of Thermal Generating Unit and Battery Storage to Improve AGC Performance

With the growing penetration of intermittent renewable energy resources in power systems, it is a challenge for automatic generation control (AGC) to maintain the required control performance. In recent years, battery energy storage systems (BESSs) have been installed in thermal power plants to provide frequency regulation service bundled with the traditional thermal generating units (TGUs). However, in real projects, the installed BESS typically works as parasitic equipment of the generating unit, which limits the coordination between the TGU and the BESS. In this paper, a complementary cooperation pattern is proposed for the TGU-BESS union to improve the dispatchability of its response to the AGC signal. Then, the correlation between the BESS's energy demand and the TGU's operation states is described by a data-driven method, which combines fuzzy c-means cluster, r-vine copula, and random forest. Finally, a rolling-horizon energy balance strategy is developed to make the control decisions for the TGU-BESS union in response to the stochastic AGC signal. The effectiveness of the proposed method is demonstrated using the historical data from a real union with a 9MW/4.5MWh BESS and a 350MW coal-fired generator.

Robust Shared Control System for Aggressive Driving Based on Cooperative Modes Identification

Robust Shared Control System for Aggressive Driving Based on Cooperative Modes Identification

Competition and Cooperation for Multiple Solar Powered Unmanned Aerial Vehicles under Static Soaring

This work examines the competition and allocation of multiple solar-powered unmanned aerial vehicles (SUAVs) to a single thermal since multiple SUAVs often demonstrate superior mission performance compared to a single SUAV. Additionally, they can harvest extra energy from thermal updrafts. This work considers two conditions, a non-cooperative competition and a cooperative allocation of thermal. In each case, corresponding objective functions and constraints are established, and assignment schemes are derived by solving these objective functions. The allocation results are simulated and integrated with the dynamics and solar energy model. The numerical results show that, in the non-cooperative mode, the first vehicle to reach the thermal can occupy it for soaring, while the remaining SUAVs will fly towards the destination directly. But in the cooperative mode, the multiple SUAVs will allocate the thermal to the SUAV with the highest energy gain through soaring, to maximize the overall electric energy storage of the SUAV group.

The EU’s Turn to ‘Strategic Autonomy’: Leeway for Policy Action and Points of Conflict

Abstract In a world marked by intensifying geopolitical rivalries, supply chain vulnerabilities and disruptive technological change, ensuring ‘strategic autonomy’ is now an avowed goal of numerous European Union (EU) policy initiatives. This article seeks to facilitate an assessment of this ‘policy turn’ by developing a taxonomy of associated objectives and by illuminating points of conformance and conflict with EU and international law. The EU Treaties offer a robust legal basis for a stronger-values orientation in external relations, for policies designed to rebalance reciprocity in pursuit of geo-economic ambition and for the pursuit of technological leadership within the EU Treaties’ level-playing-field legal foundation. Yet there is a thin line to collisions with international (trade and investment) law, notably where value prioritization, technological preferences or geopolitical concerns are tantamount to discrimination or invite protectionist policy choices. Employment of coercive tools in a unilateral fashion questions the legal default of multilateralism and openness. Persistent strategic diversity within the Union hinders ‘institutional autonomy’, particularly where unanimity voting makes intergovernmentalism the predominant mode of cooperation. The findings shed light on how the evolving geopolitical environment leads to a recalibration of EU external relations between protection and openness, independence and interdependence, unilateralism and multilateralism and power and rules.

Cooperative localization for master–salve multi-AUVs based on range measurements

Underwater localization has consistently remained a prominent technical challenge for autonomous underwater vehicles (AUVs). The advent of cooperative localization techniques has emerged as a novel avenue for enhancing localization accuracy. The master–slave cooperative localization mode has gained widespread adoption due to its cost-effectiveness in implementation. In view of the complexity of underwater noise characteristics, in the multi-AUVs cooperative localization system, this paper addresses scenarios involving distance-dependent noise in a master–slave-based multi-AUVs cooperative localization system. To tackle the negative impact of distance-dependent noise and the non-linearity of the distance function, a two-step algorithm is proposed that combines maximum likelihood estimation and the Gaussian belief propagation algorithm (ML-GBP) to estimate the positions of AUVs. The maximum likelihood estimation is employed to cope with the interference caused by distance-dependent noise, and subsequently, the Gaussian belief propagation algorithm, based on range observations and reference information, is used to achieve accurate estimation of AUV positions and implement position correction. Simulation results demonstrate that the proposed ML-GBP algorithm outperforms traditional extended Kalman filter (EKF) and nonparametric belief propagation (NBP) methods by enhancing the localization accuracy of the system while exhibiting superior performance in terms of computational complexity and system communication overhead.

Source-Load Coordinated Low-Carbon Economic Dispatch of Microgrid including Electric Vehicles

As the global warming crisis becomes increasingly serious, sustainable dispatch strategies that can reduce CO2 emissions are gradually developed. Aiming at the problems of poor synergy between carbon capture systems (CCS) and P2G as well as the potential of the source-load interaction of microgrids with electric vehicles for carbon reduction that needs to be explored, this paper proposes a source-load coordinated low-carbon economic dispatch strategy for microgrids, including electric vehicles. Firstly, considering the low-carbon operation characteristics of CCS and P2G, a comprehensively flexible and cooperative operation mode for CCS and P2G is constructed. Secondly, based on the carbon reduction potential of demand response on the energy consumption side, a demand response optimal scheduling model considering the participation of electric vehicles in the microgrid is established. Finally, based on the complementary characteristics of low-carbon resources on both sides of the microgrid, a source-load coordinated low-carbon economic dispatch strategy for the microgrid is proposed. The results show that the strategy proposed in this paper can fully use the energy time-shift advantage of CCS and P2G and can combine EVs and other load-side resources to flexibly participate in demand-side response, which effectively realizes source-load synergy and improves the low carbon and economy of the microgrid.

Evaluating the Effectiveness of Combination Antibiotic Therapy for Recurrent Cystitis in Women

Background: Investigating the Effectiveness of Combined Antibiotic Therapy for Recurrent Cystitis in Females. A study was conducted on twenty women with recurrent cystitis who received combination antibiotic therapy. The primary outcome measure for cystitis was the absence of all clinical and laboratory indicators of infection. The secondary objective was to assess symptom improvement related to cystitis. The findings revealed that, after using the combination antibiotic medication, cystitis symptoms disappeared completely in 18 out of the 20 women (90%), while 2 women (10%) experienced symptom improvement. According to these results, combination antibiotic therapy seems safe and effective for women with recurrent cystitis. Objective: The primary aim of this study was to evaluate the curative effects of combination antibiotic therapy in female repetitive cystitis (RC) patients who presented at the Main Gul Jehanzeb Hospital, Swat, during January 2018 and January 2019. Secondarily, we wanted to find out how well combination antibiotic therapy worked for female RC patients. Study Design: A retrospective study Duration and place of study: Main Gul Jehanzeb Hospital, Swat, from January 2018 to January 2019. Methods: A retrospective study of combination antibiotic therapy for curing recurrent cystitis in female patients was carried out at the Main Gul Jehanzeb Hospital, Swat, Pakistan. All women aged between 18 and 50 years who had a history of repeated cystitis, if they received medical treatment in the hospital's outpatient department during research periods and are outpatients now for one research visit, were included on this study. The drug cooperation mode of general practice co-operation network was used, while the principle of vaccination prevention was implemented to everyone for education against sexually transmitted diseases. In the clinic, clinical and laboratory diagnostics were utilized to make a comprehensive diagnosis and all cases were gave a standard questionnaire designed by research personnel. Phase 1 and Phase 2 of treatment: After a comprehensive medical history appraisal and physical examination, each patient received specific combination antibiotic therapy according to her diagnosis. The main purpose of our study was to obtain complete symptomatic remission of cystitis, as gauged by the absence of any clinical or laboratory evidence of infection. Additionally, a secondary object was to alleviate cystitis symptoms, or allay them to some extent. Results: In this study, 20 females who had RC were included. After receiving a combination of antibiotics, 18 of them (90%) had their cystitis symptoms completely eliminated, and the other 2 (10%) only had milder symptoms. Conclusion: This study has demonstrated that combined antibiotic therapy is safe and effective as a treatment for female recurrent cystitis. In recurrent cystitis, most women obtain relief from their symptoms using mixed antibiotics. Keywords:Recurrent Cystitis, Combination Antibiotic Therapy, Women