Research on the Collaborative Education Mechanism among In-School Mentors,Enterprise Mentors,and Counselors from the Perspective of Sanquan Education

This study addresses the issues existing in the current cultivation process of outstanding graduate students and explores the collaborative education mechanism among in-school mentors,enterprise mentors,and counselors in the cultivation of outstanding engineers in the mechanical field based on the perspective of Sanquan education(i.e.,holistic,full-course,and all-round education).Through exploring this mechanism,we attempt to construct a more scientific and efficient education model to enhance students’comprehensive quality and practical skills,thereby meeting society’s demand for high-quality talents in the mechanical field.

The Pathways and Mechanisms for Collaborative Innovation in Vocational Education,Higher Education,and Continuing Education

Against the backdrop of rapid global economic development,the demand for education has gradually shifted from quantitative growth to qualitative improvement.Vocational education,higher education,and continuing education are crucial components of China’s education system,each serving different educational functions.However,the collaborative innovation among these three types of education is still in the preliminary exploration stage,with issues such as scattered resources and imperfect coordination mechanisms.This paper systematically reviews relevant domestic and international research and practical experiences,thoroughly analyzes the pathways,models,and mechanisms of collaborative innovation among these three types of education,and proposes practical and operational suggestions based on the actual situation in Xuzhou City.The study finds that collaboration between vocational education,higher education,and continuing education through innovation not only enhances the overall efficiency of educational resources but also promotes regional economic development and social progress.On this basis,this paper proposes specific measures such as building an education resource-sharing platform,promoting a chain-based talent training system,strengthening policy and institutional guarantees,and improving incentive mechanisms,aiming to provide a reference for local education administrators and contribute to the innovative development of education in China.

Deep reinforcement learning based multi-level dynamic reconfiguration for urban distribution network:a cloud-edge collaboration architecture

With the construction of the power Internet of Things(IoT),communication between smart devices in urban distribution networks has been gradually moving towards high speed,high compatibility,and low latency,which provides reliable support for reconfiguration optimization in urban distribution networks.Thus,this study proposed a deep reinforcement learning based multi-level dynamic reconfiguration method for urban distribution networks in a cloud-edge collaboration architecture to obtain a real-time optimal multi-level dynamic reconfiguration solution.First,the multi-level dynamic reconfiguration method was discussed,which included feeder-,transformer-,and substation-levels.Subsequently,the multi-agent system was combined with the cloud-edge collaboration architecture to build a deep reinforcement learning model for multi-level dynamic reconfiguration in an urban distribution network.The cloud-edge collaboration architecture can effectively support the multi-agent system to conduct“centralized training and decentralized execution”operation modes and improve the learning efficiency of the model.Thereafter,for a multi-agent system,this study adopted a combination of offline and online learning to endow the model with the ability to realize automatic optimization and updation of the strategy.In the offline learning phase,a Q-learning-based multi-agent conservative Q-learning(MACQL)algorithm was proposed to stabilize the learning results and reduce the risk of the next online learning phase.In the online learning phase,a multi-agent deep deterministic policy gradient(MADDPG)algorithm based on policy gradients was proposed to explore the action space and update the experience pool.Finally,the effectiveness of the proposed method was verified through a simulation analysis of a real-world 445-node system.

Effects of nursing team communication and collaboration on treatment outcomes in intensive care unit patients with severe pneumonia

BACKGROUND Severe pneumonia is a common severe respiratory infection worldwide,and its treatment is challenging,especially for patients in the intensive care unit(ICU).AIM To explore the effect of communication and collaboration between nursing teams on the treatment outcomes of patients with severe pneumonia in ICU.METHODS We retrospectively analyzed 60 patients with severe pneumonia who were treated at the ICU of the hospital between January 1,2021 and December 31,2023.We compared and analyzed the respiratory mechanical indexes[airway resistance(Raw),mean airway pressure(mPaw),peak pressure(PIP)],blood gas analysis indexes(arterial oxygen saturation,arterial oxygen partial pressure,and oxygenation index),and serum inflammatory factor levels[C-reactive protein(CRP),procalcitonin(PCT),cortisol(COR),and high mobility group protein B1(HMGB1)]of all patients before and after treatment.RESULTS Before treatment,there was no significant difference in respiratory mechanics index and blood gas analysis index between 2 groups(P>0.05).However,after treatment,the respiratory mechanical indexes of patients in both groups were significantly improved,and the improvement of Raw,mPaw,plateau pressure,PIP and other indexes in the combined group after communication and collaboration with the nursing team was significantly better than that in the single care group(P<0.05).The serum CRP and PCT levels of patients were significantly decreased,and the difference was statistically significant compared with that of nursing group alone(P<0.05).The levels of serum COR and HMGB1 before and after treatment were also significantly decreased between the two groups.CONCLUSION The communication and collaboration of the nursing team have a significant positive impact on respiratory mechanics indicators,blood gas analysis indicators and serum inflammatory factor levels in the treatment of severe pneumonia patients in ICU.

Spatial Structure,Hierarchy and Formation Mechanisms of Scientific Collaboration Networks:Evidence of the Belt and Road Regions

Scientific collaboration has become an important part of the people-to-people exchanges in the Belt and Road initiative,and remarkable progress has been made since 2013.Taking the 65 countries along the Belt and Road(BRI countries)as the research areas and using collaborated Web of Science(WOS)core collection papers to construct an international scientific collaboration matrix,the paper explores the spatial structure,hierarchy and formation mechanisms of scientific collaboration networks of 65 countries along the Belt and Road.The results show that:1)Beyond the Belt and Road regions(BRI regions),Central&Eastern Europe,China and West Asia&North Africa have formed a situation in which they all have the most external links with other countries beyond BRI regions.China has the dominant role over other BRI countries in generating scientific links.The overall spatial structure has changed to a skeleton structure consisting of many dense regions,such as Europe,North America,East Asia and Oceania.2)Within the Belt and Road regions,Central&Eastern Europe has become the largest collaboration partner with other sub-regions in BRI countries.The spatial structure of scientific collaboration networks has transformed from the‘dual core’composed of China and the Central&Eastern Europe region,to the‘multi-polarization’composed of‘one zone and multi-points’.3)The hierarchical structure of scientific collaboration networks presents a typical‘core-periphery’structure,and changes from‘single core’to‘double cores’.4)Among the formation mechanisms of scientific collaboration networks,scientific research strength and social proximity play the most important roles,while geographical distance gradually weakens the hindrance to scientific collaboration.

Evolutionary game analysis of problem processing mechanism in new collaboration

This paper analyzes a problem processing mechanism in a new collaboration system between the main manufacturer and the supplier in the"main manufacturer-supplier"mode,which has been widely applied in the collaborative development management of the complex product.This paper adopts the collaboration theory,the evolutionary game theory and numerical simulation to analyze the decision-making mechanism where one upstream supplier and one downstream manufacturer must process an unpredicted problem without any advance contract in common.Results show that both players'decision-makings are in some correlation with the initial state,income impact coefficients,and dealing cost.It is worth noting that only the initial state influences the final decision,while income impact coefficients and dealing cost just influence the decision process.This paper shows reasonable and practical suggestions for the manufacturer and supplier in a new collaboration system for the first time and is dedicated to the managerial implications on reducing risks of processing problems.

A Task-oriented Modular and Agent-based Collaborative Design Mechanism for Distributed Product Development

The rapid expansion of enterprises makes product collaborative design （PCD） a critical issue under the distributed heterogeneous environment, but as the collaborative task of large-scale network becomes more complicated, neither unified task decomposition and allocation methodology nor Agent-based network management platform can satisfy the increasing demands. In this paper, to meet requirements of PCD for distributed product development, a collaborative design mechanism based on the thought of modularity and the Agent technology is presented. First, the top-down 4-tier process model based on task-oriented modular and Agent is constructed for PCD after analyzing the mapping relationships between requirements and functions in the collaborative design. Second, on basis of sub-task decomposition for PCD based on a mixed method, the mathematic model of task-oriented modular based on multi-objective optimization is established to maximize the module cohesion degree and minimize the module coupling degree, while considering the module executable degree as a restriction. The mathematic model is optimized and simulated by the modified PSO, and the decomposed modules are obtained. Finally, the Agent structure model for collaborative design is put forward, and the optimism matching Agents are selected by using similarity algorithm to implement different task-modules by the integrated reasoning and decision-making mechanism with the behavioral model of collaborative design Agents. With the results of experimental studies for automobile collaborative design, the feasibility and efficiency of this methodology of task-oriented modular and Agent-based collaborative design in the distributed heterogeneous environment are verified. On this basis, an integrative automobile collaborative R＆D platform is developed. This research provides an effective platform for automobile manufacturing enterprises to achieve PCD, and helps to promote product numeralization collaborative R＆D and management development.

Design of hydraulic shift mechanism for AMT vehicles based on the collaborative optimization method

Based on multidisciplinary design optimization（MDO）,a new design method is put forward for hydraulic shift mechanism of heavy-duty vehicle automated manual transmission（AMT）.Taking a shift cylinder for example,the collaborative optimization（CO）method for the design problem of a cylinder is devided into one system level design optimization problem and three subsystem level design optimization problems.The system level is an economic model and the subsystem level is mechanics,kinetics,and a reliability model.Application of the multidisciplinary design optimization software iSIGHT modeling and solving,optimal solution of the shifting cylinder CO model is obtained.According to the optimal solution,oil cylinders are machined out and installed on the gearbox of an AMT system for the bench cycle shift test.The results show that the output force and action speed of the optimized mechanism can meet requirements very well.In addition,the optimized mechanism has a better performance compared to the structure of the traditional design method,which indicates that the CO method can optimize the design of hydraulic transmission.

Scheme Based on Multi-Level Patch Attention and Lesion Localization for Diabetic Retinopathy Grading

Early screening of diabetes retinopathy(DR)plays an important role in preventing irreversible blindness.Existing research has failed to fully explore effective DR lesion information in fundus maps.Besides,traditional attention schemes have not considered the impact of lesion type differences on grading,resulting in unreasonable extraction of important lesion features.Therefore,this paper proposes a DR diagnosis scheme that integrates a multi-level patch attention generator(MPAG)and a lesion localization module(LLM).Firstly,MPAGis used to predict patches of different sizes and generate a weighted attention map based on the prediction score and the types of lesions contained in the patches,fully considering the impact of lesion type differences on grading,solving the problem that the attention maps of lesions cannot be further refined and then adapted to the final DR diagnosis task.Secondly,the LLM generates a global attention map based on localization.Finally,the weighted attention map and global attention map are weighted with the fundus map to fully explore effective DR lesion information and increase the attention of the classification network to lesion details.This paper demonstrates the effectiveness of the proposed method through extensive experiments on the public DDR dataset,obtaining an accuracy of 0.8064.

Collaborative robust dispatch of electricity and carbon under carbon allowance trading market

The launch of the carbon-allowance trading market has changed the cost structure of the power industry.There is an asynchronous coupling mechanism between the carbon-allowance-trading market and the day-ahead power-system dispatch.In this study,a data-driven model of the uncertainty in the annual carbon price was created.Subsequently,a collaborative,robust dispatch model was constructed considering the annual uncertainty of the carbon price and the daily uncertainty of renewable-energy generation.The model is solved using the column-and-constraint generation algorithm.An operation and cost model of a carbon-capture power plant(CCPP)that couples the carbon market and the economic operation of the power system is also established.The critical,profitable conditions for the economic operation of the CCPP were derived.Case studies demonstrated that the proposed low-carbon,robust dispatch model reduced carbon emissions by 2.67%compared with the traditional,economic,dispatch method.The total fuel cost of generation decreases with decreasing,conservative,carbon-price-uncertainty levels,while total carbon emissions continue to increase.When the carbon-quota coefficient decreases,the system dispatch tends to increase low-carbon unit output.This study can provide important guidance for carbon-market design and the low-carbon-dispatch selection strategies.

Study on the Collaborative Governance Mechanism of Ecological Environment in Changsha-Zhuzhou-Xiangtan Region under the Green Development Perspective

Natural resources and the environment,environmental capacity of China has been approaching the red alert,and long-term accumulation of ecological debt needs to be solved. The transformation of economic development mode and green economic development path are inevitable choices. The complexity and the pressureof the ecological environment governance force Changsha-Zhuzhou-Xiangtan region to change the ecological governance method. The " government-market-society" is taken as the overall framework,to build a diversified body of eco-environment collaborative governance platform. Through collaborative governance among governments,government-market collaborative governance and government-society collaborative governance,ecological capital stock is improvedin the quantity and quality,thus contributing to benigndevelopment of regional economy and society.

Study on Talent Training Mechanisms of Marine Cultural Industry Based on Collaborative Innovation of Governments,Enterprises,Colleges,Scientific Institutions and Users

Based on the review of related concepts,the current situation and problems of talent training in marine cultural industry in China were analyzed,and talent training mechanisms of marine cultural industry based on collaborative innovation of governments,enterprises,colleges,scientific institutions and users were proposed to promote the transformation,upgrading and vigorous development of marine cultural industry,accelerate the spread of marine culture with Chinese characteristics,and build China into a maritime power.

Research on Intellectual Property Benefits Allocation Mechanism—Using Case of Regional-Development Oriented Collaborative Innovation Center of China

The intellectual property (IP) benefits allocation is a major problem in collaborative innovation, because the collaborative partners have different benefits pursues, and they make the allocation of ownership and benefits complicated. If the interests can’t be allocated properly, then the conflicts will occur between the collaborative partners and collaborative relationship can’t last long, so we focus on the benefits allocation mechanism of IP to ensure each participated partner can get the benefits fairly. Some scholars noticed the importance of IP benefits allocation and conducted theoretical research, which provided model and theoretical analysis, but these research contents were not comprehensive, the research methods and evidences seemed inadequate, which leaded the conclusions into?having limited meaning. Thus, we use case study and investigate regional-development oriented collaborative innovation center to examine the benefits allocation mechanism. We find out the problems in the existing benefits allocation mechanism, such as the compensation and rewards are not enough, the benefits allocation should be fair, the payment way is not various and so on. Based on the case study on the status quo and combined with related needs, we put forward that ensure the ownership of IP, attention on regulation construction, benefits protection and so on. We hope this study can solve these problems through case analysis, and benefit to maintain collaborative relationship.

O nthe Collaborative Development Mechanism of Mineral Resources in Beijing- Tianjin- Hebei

京津冀矿产资源协同开发是京津冀区域经济协同发展的客观需要、京津冀差异化工业化进程的必然要求,也是加强矿山生态环境治理的必然要求.论文以京津冀矿产资源协同开发的必要性为切入点,探讨协同开发机制的内容和实施协同开发机制的措施,认为协同开发机制包括协同开发监管主体和实施主体、协同规划机制、协同激励机制、协同监管机制和协同保障机制.实施协同开发机制需要整合引导激励政策、协同联动监管,并处理好矿产资源开发与城镇化、环境恢复治理、交通运输的关系.

Failure mechanism of Mesozoic soft rock roadway in Shajihai coal mine and its surrounding rock control

In view of the buckling failure caused by large deformation of Mesozoic soft rock roadway in Shajihai mining area, such as serious roof fall, rib spalling, floor heave, etc., based on the detail site investigation,theoretical analysis, mineral composition test, microstructure test, water-physical property test and field experiments were carried out. And we revealed the compound failure mechanism of Mesozoic soft rock roadway in Shajihai mining area, namely the molecule expansion-shear slip of weak structural plane-construction disturbance. On this basis, the coupling support technology whose core is constant resistance with large deformation bolt was proposed. The feature of this supporting technology is that a new type of structural composite material was used, which makes the supporting system not only has the ideal deformation characteristics, but also has high supporting resistance. Thus the fully release of plastic energy within surrounding rock and reasonable control of the thickness of the plastic ring were realized. Then the differential deformation between the surrounding rock and support was eliminated by the secondary coupling support of bolt–mesh–cable, and the bolt with high strength was applied in the base angle to control floor. Eventually the collaborative bearing system of surrounding rock–support was formed. Through field tests the validity and rationality of support was also verified.

Neural Network Based Multi-level Fuzzy Evaluation Model for Mechanical Kinematic Scheme

To implement a quantificational evaluation for mechanical kinematic scheme more effectively,a multi-level and multi-objective evaluation model is presented using neural network and fuzzy theory. Firstly,the structure of evaluation model is constructed according to evaluation indicator system. Then evaluation samples are generated and provided to train this model. Thus it can reflect the relation between attributive value and evaluation result,as well as the weight of evaluation indicator. Once evaluation indicators of each candidate are fuzzily quantified and fed into the trained network model,the corresponding evaluation result is outputted and the best alternative can be selected. Under this model,expert knowledge can be effectively acquired and expressed,and the quantificational evaluation can be implemented for kinematic scheme with multi-level evaluation indicator system. Several key problems on this model are discussed and an illustration has demonstrated that this model is feasible and can be regarded as a new idea for solving kinematic scheme evaluation.

Study on the Collaboration between Advanced Manufacturing Technology and Production Process

The advanced manufacturing technology of mechanical products features interaction, and high simulation, etc. In this paper, a digital geometry model for the processing is established with the aid of computer technology, so that the needs of machinery manufacturing production and precision machining can be fulfilled, and also the simulation, validation, comparison, and optimization of many plans can be implemented for ultimately finding out an optimal processing method and realizing the benefit of low cost and high quality. From two different levels of activity and parts, the configuration principle of mechanical products＇ advanced manufacturing technology is defined. Therefore, the advanced manufacturing technology for customizing different products can be derived, and also the reuse of different types of parts is realized. Finally, this is verified with an example.

长江经济带跨界污染协同治理动力机制分析——基于扎根理论

传统的“政府单核”思维和单一的属地治理模式已无法有效回应跨界污染问题,以“多元共治、区域合作、协调对话”为主要方式的协同治理更加符合当下的治理需求。立足于长江经济带,通过对跨界污染事件报道的扎根分析,构建了协同治理动力机制模型,提炼出外源驱动、内生驱动、多元共治、赋能建设、思想引导和流程优化六个主导要素,进一步归纳为驱动力、能动力和执行力三维动力,分别作用于协同意愿、协同结构和协同过程三个阶段。利用模型对跨界污染事件进行回溯分析后发现,当前长江经济带跨界污染协同治理总体上存在驱动力失衡、能动力不足和执行力有限的问题,应结合具体实际有的放矢地予以强化。

企业创新生态系统协同演化机制:理论框架与未来研究

协同演化是企业创新生态系统的核心本质,是推动创新持续发展的系统力量。现有企业创新生态系统协同演化研究基本停留在现象分析层面,对其背后的协同演化机制挖掘不足。通过检索国内外高质量期刊文献,梳理不同学科领域的相关研究主题,如创新生态系统及其协同演化内涵和特征、创新生态系统构建与演化过程,以及多主体协同演化机制,在此基础上提出企业创新生态系统协同演化机制研究框架,指明未来研究方向、方法、路径和关键情境。研究结果可为揭示企业创新生态系统协同演化机制提供多学科交叉理论基础,有助于创新生态系统研究向纵深发展。

产教融合视域下应用型本科校企协同育人机制改革与实践

该文通过探索专业建设“双带头人”制、课程建设“双负责人制”、学生培养“双导师制”、教师培养“双考核制”,不断深化产教融合,做强校企合作特色,探索研究符合本校应用型本科人才培养模式的校企协同育人机制,提升企业方参与人才培养的积极性,培养适应新疆“八大产业集群”中煤炭煤电煤化工领域的高素质应用型人才,实现专业学科建设符合产业发展需求。