Study on the Coordination Mechanism Between Higher Vocational Students’Career Development Planning and School Management

The coordination mechanism between the career development planning of vocational students and the management of vocational colleges is an important means to improve the quality of education and students’vocational competitiveness.The application of synergy theory in the field of education emphasizes the interaction and coordination of various elements in the system and pursues the optimization of overall efficiency.Based on the theory of coordination and its relevance to the management of higher vocational colleges,this paper analyzes the current development status and problems of the coordination mechanism and puts forward the strategy of building an efficient coordination mechanism designed to enhance the students’employment competitiveness,promote the all-round development,and provide theoretical and practical support for the reform and development of higher vocational education.

School Culture Educating People: Realization Path and Action Mechanism

Culture is the core of education and the proper meaning of education. Exploring the realization path and function mechanism of school culture education is a major task for educators at present and in the future. Then, the current academic research started late, had few achievements and was relatively broad and weak. The article believes that the mechanism of school culture educating people includes three fields: “cultural field”, “cultivation field” and “education field”. School teachers and students should be guided to make cultural choices, consciously transform school culture into personal culture, and achieve the purpose of school culture educating people.

Multiscale Characteristics and Connection Mechanisms of Attraction Networks:A Trajectory Data Mining Approach Leveraging Geotagged Data

Urban tourism is considered a complex system,and multiscale exploration of the organizational patterns of attraction networks has become a topical issue in urban tourism,so exploring the multiscale characteristics and connection mechanisms of attraction networks is important for understanding the linkages between attractions and even the future destination planning.This paper uses geotagging data to compare the links between attractions in Beijing,China during four different periods:the pre-Olympic period(2004–2007),the Olympic Games and subsequent‘heat period’(2008–2013),the post-Olympic period(2014–2019),and the COVID-19(Corona Virus Disease 2019)pandemic period(2020–2021).The aim is to better understand the evolution and patterns of attraction networks at different scales in Beijing and to provide insights for tourism planning in the destination.The results show that the macro,meso-,and microscales network characteristics of attraction networks have inherent logical relationships that can explain the commonalities and differences in the development process of tourism networks.The macroscale attraction network degree Matthew effect is significant in the four different periods and exhibits a morphological monocentric structure,suggesting that new entrants are more likely to be associated with attractions that already have high value.The mesoscale links attractions according to the common purpose of tourists,and the results of the community segmentation of the attraction networks in the four different periods suggest that the functional polycentric structure describes their clustering effect,and the weak links between clusters result from attractions bound by incomplete information and distance,and the functional polycentric structure with a generally more efficient network of clusters.The pattern structure at the microscale reveals the topological transformation relationship of the regional collaboration pattern,and the attraction network structure in the four different periods has a very similar importance profile structure suggesting that the attraction network has the same construction rules and evolution mechanism,which aids in understanding the attraction network pattern at both macro and micro scales.Important approaches and practical implications for planners and managers are presented.

Research on the Construction of Social Mechanism for the Realization of China’s “Sustainable Overseas Interest”

China’s overseas interest has become more visible and fragile with the deepening of integration into the world.To protect China’s overseas interest,we need to focus on the realization of China’s“sustainable overseas interest”in addition to the prevention of direct infringement and threat.“Sustainable overseas interest”include different content levels of nation,corporate and society.Referring to the experience of other countries,we find that China still lacks the main body dimension in its maintenance mechanism of“sustainable overseas interest”,and the social mechanism level of the trinity system of government,enterprise and society is still insufficient.

Locomotion Optimization and Manipulation Planning of a Tetrahedron-Based Mobile Mechanism with Binary Control

Locomotion and manipulation optimization is essential for the performance of tetrahedron-based mobile mechanism. Most of current optimization methods are constrained to the continuous actuated system with limited degree of freedom(DOF), which is infeasible to the optimization of binary control multi-DOF system. A novel optimization method using for the locomotion and manipulation of an 18 DOFs tetrahedron-based mechanism called 5-TET is proposed. The optimization objective is to realize the required locomotion by executing the least number of struts.Binary control strategy is adopted, and forward kinematic and tipping dynamic analyses are performed, respectively.Based on a developed genetic algorithm(GA), the optimal number of alternative struts between two adjacent steps is obtained as 5. Finally, a potential manipulation function is proposed, and the energy consumption comparison between optimal 5-TET and the traditional wheeled robot is carried out. The presented locomotion optimization and manipulation planning enrich the research of tetrahedron-based mechanisms and provide the instruction to the successive locomotion and operation planning of multi-DOF mechanisms.

Study on the Joint Meeting Mechanism for the National Human Rights Action Plan

The joint meeting mechanism for the National Human Rights Action Plan(NHRAP)is a multi-faceted mechanism which unifies political,legislative,administrative,judicial and social sectors.It undertakes the responsibility of formulating,implementing,supervising and evaluating the NHRAP,promotes mutual learning,exchange and competition among member units in the protection of human rights.Over the ten years since it was established,it has proved to be a successful innovative mechanism for protecting human rights that is in line with China’s national conditions.In order to improve the operation of the joint meeting mechanism the NHRAP,it is necessary to establish a more effective coordination mechanism within the joint meeting mechanism,and to subdivide the monitoring and evaluation functions into three levels.

A Precision-Positioning Method for a High-Acceleration Low-Load Mechanism Based on Optimal Spatial and Temporal Distribution of Inertial Energy

High-speed and precision positioning are fundamental requirements for high-acceleration low-load mechanisms in integrated circuit （IC） packaging equipment. In this paper, we derive the transient nonlinear dynamicresponse equations of high-acceleration mechanisms, which reveal that stiffness, frequency, damping, and driving frequency are the primary factors. Therefore, we propose a new structural optimization and velocity-planning method for the precision positioning of a high-acceleration mechanism based on optimal spatial and temporal distribution of inertial energy. For structural optimization, we first reviewed the commonly flexible multibody dynamic optimization using equivalent static loads method （ESLM）, and then we selected the modified ESLM for optimal spatial distribution of inertial energy; hence, not only the stiffness but also the inertia and frequency of the real modal shapes are considered. For velocity planning, we developed a new velocity-planning method based on nonlinear dynamic-response optimization with varying motion conditions. Our method was verified on a high-acceleration die bonder. The amplitude of residual vibration could be decreased by more than 20% via structural optimization and the positioning time could be reduced by more than 40% via asymmetric variable velocity planning. This method provides an effective theoretical support for the precision positioning of high-acceleration low-load mechanisms.

Research and Implementation of the SDN Resources Transaction Process Based on Trust Mechanism

SDN network as new network architecture,can address a range of issues of the current internet effectively,this paper in the view of SDN network resources' allocation,for decreasing resources waste and achieving a reasonable distribution of SDN resources,come up with a suitable resource price negotiation algorithm based on trust mechanism in SDN network environment.According to the characteristics of the trust mechanism,simulating on the unit utility and equivalent price of SDN network resources in three aspects(remove individual malicious nodes,remove most malicious nodes and remove all malicious nodes),through the above simulation,combined trust mechanism with MCDAM algorithm,can form a weighing system which pricing and trust comprehensive competitive,so that the whole SDN trading environment become safer and more stable.So trust mechanism as the patch of SDN pricing negotiation algorithm.Finally,propose the planned trading model based on trust mechanism as a management method of SDN trading.

Improved Double Deep Q Network Algorithm Based on Average Q-Value Estimation and Reward Redistribution for Robot Path Planning

By integrating deep neural networks with reinforcement learning,the Double Deep Q Network(DDQN)algorithm overcomes the limitations of Q-learning in handling continuous spaces and is widely applied in the path planning of mobile robots.However,the traditional DDQN algorithm suffers from sparse rewards and inefficient utilization of high-quality data.Targeting those problems,an improved DDQN algorithm based on average Q-value estimation and reward redistribution was proposed.First,to enhance the precision of the target Q-value,the average of multiple previously learned Q-values from the target Q network is used to replace the single Q-value from the current target Q network.Next,a reward redistribution mechanism is designed to overcome the sparse reward problem by adjusting the final reward of each action using the round reward from trajectory information.Additionally,a reward-prioritized experience selection method is introduced,which ranks experience samples according to reward values to ensure frequent utilization of high-quality data.Finally,simulation experiments are conducted to verify the effectiveness of the proposed algorithm in fixed-position scenario and random environments.The experimental results show that compared to the traditional DDQN algorithm,the proposed algorithm achieves shorter average running time,higher average return and fewer average steps.The performance of the proposed algorithm is improved by 11.43%in the fixed scenario and 8.33%in random environments.It not only plans economic and safe paths but also significantly improves efficiency and generalization in path planning,making it suitable for widespread application in autonomous navigation and industrial automation.

Combing and Discussion of Modern Urban Planning Ideas

Since the emergence of utopian socialism and other modern urban planning ideas,as well as the proposing of“garden cities”by Howard,modern urban planning theory has experienced a variety of planning ideas,and these ideas play a great role in guiding urban construction and planning.In this century,cities have ushered in many industrial revolutions,and urban life,economy,and ecology have changed greatly.Planning scholars in various countries are actively looking for“medicine”to save cities in the“sick”.In this paper,modern urban planning ideas were sorted out,and how to learn from the current territorial spatial planning that is being compiled around the country was thought about.

Ecological Planning of Spartina alterniflora Invaded Tideland Based on Mechanical Mowing and Hydraulic Reclamation: A Case Study of Xihu Port in Xiangshan County

Spartina alterniflora is a major invasive plant in the coastal tideland of China that has serious negative impact on local economy and ecology.This paper took Hugang New Town in Xiangshan County,Zhejiang Province for example,concluded the method of controlling S.alterniflora by integrating mechanical mowing and hydraulic reclamation in view of the threatening expansion of this species and serious land shortage in the local area.Moreover,it explored the ecological planning method of reclamation area based on this method.In view of the ecological sensitivity of the reclamation area,urban ecological planning concept was introduced into both processes of the development:penetrative reclamation and urban planning.The reclamation project has to meet such requirements as site selection,scope,water surface ratio etc.,the planning ensures the ecological sustainability in functional orientation,spatial structure,green space system and development intensity.

基于SimMechanics的六自由度机械臂轨迹规划研究

针对机械手臂在运动过程中出现的不稳定现象,本文利用多项式插值规划关节空间的轨迹,并利用Matlab中的SimMechanics建立逆运动学仿真模型,由轨迹规划模块得到的各关节变量的角度、角速度和角加速度来驱动各关节运动;同时对机械手臂末端轨迹规划进行分析仿真。仿真结果表明,仿真模型输出轨迹和预定轨迹相吻合,利用仿真模型可以准确、有效地得到外骨骼康复机械手臂的运动参数和运动轨迹,并实现了机械手臂匀加速、匀速和匀减速的运动状态。该研究对六自由度外骨骼康复机械手臂结构设计提出了建设性意见,也为外骨骼康复机械手臂的分析设计提供了可靠依据。

New 3-mode bosonic operator realization of SU(2) Lie algebra:From the point of view of squeezing

We consider the quantum mechanical SU（2） transformation e^2λJzJ±e^-2λJz = e^±2λJ±as if the meaning of squeezing with e^±2λ being squeezing parameter. By studying SU（2） operators （J±, Jz） from the point of view of squeezing we find that （J±,Jz） can also be realized in terms of 3-mode bosonic operators. Employing this realization, we find the natural representation （the eigenvectors of J＋ or J-） of the 3-mode squeezing operator e^2λJz. The idea of considering quantum SU（2） transformation as if squeezing is liable for us to obtain the new bosonic operator realization of SU（2） and new squeezing operators.

An Improved Whale Optimization Algorithm for Global Optimization and Realized Volatility Prediction

The original whale optimization algorithm(WOA)has a low initial population quality and tends to converge to local optimal solutions.To address these challenges,this paper introduces an improved whale optimization algorithm called OLCHWOA,incorporating a chaos mechanism and an opposition-based learning strategy.This algorithm introduces chaotic initialization and opposition-based initialization operators during the population initialization phase,thereby enhancing the quality of the initial whale population.Additionally,including an elite opposition-based learning operator significantly improves the algorithm’s global search capabilities during iterations.The work and contributions of this paper are primarily reflected in two aspects.Firstly,an improved whale algorithm with enhanced development capabilities and a wide range of application scenarios is proposed.Secondly,the proposed OLCHWOA is used to optimize the hyperparameters of the Long Short-Term Memory(LSTM)networks.Subsequently,a prediction model for Realized Volatility(RV)based on OLCHWOA-LSTM is proposed to optimize hyperparameters automatically.To evaluate the performance of OLCHWOA,a series of comparative experiments were conducted using a variety of advanced algorithms.These experiments included 38 standard test functions from CEC2013 and CEC2019 and three constrained engineering design problems.The experimental results show that OLCHWOA ranks first in accuracy and stability under the same maximum fitness function calls budget.Additionally,the China Securities Index 300(CSI 300)dataset is used to evaluate the effectiveness of the proposed OLCHWOA-LSTM model in predicting RV.The comparison results with the other eight models show that the proposed model has the highest accuracy and goodness of fit in predicting RV.This further confirms that OLCHWOA effectively addresses real-world optimization problems.

农村社会治理共同体:分析维度、基本问题与实现路径——基于中西部农村治理实践的讨论

在梳理既有学术积累基础上,本研究厘清了农村社会治理共同体的概念内涵,并将其实现机制划分为利益协同机制、权利义务协同机制和情感协同机制三个维度,进而结合中西部农村社会治理实践,阐释了三个维度的实践境遇及其形塑机理。研究发现,无论是共同体蕴含的鲜明实践性,还是治理主体关系形态反映出的深层次问题,均表明农村社会治理共同体构建的关键不是技术治理内部调整以及由此而来的政策供给和制度改革,而是涉及基层治理模式调整的治道议题。结合中国国家治理传统,借助当下财政和体制资源实现农村基层的“再组织化”,以提升村庄社会自主能力、构建多元主体互动的有效实践平台、统一基层政府建设和社会建设、实现经济重新嵌入社会,可作为未来一段时期农村社会治理共同体建设的路径选择。

数据要素市场体系建构与价值实现路径探索

数据要素市场体系的顶层设计是加快推进数字要素市场化配置、推动我国数字经济高质量发展的前提基础与关键部署。通过剖析当前全国数据要素统一大市场建设面临的瓶颈与挑战,本文分析数据要素市场建设的特殊性,提出全国统一数据要素市场体系“一体两翼”“三基”“七要点”的总体架构思路,以及战略布局、结构布局和空间布局相统一的总体布局方案,并从市场体系建设新特征、内在结构与运行模式解析、数据要素市场与传统要素市场一体化联动机理揭示与场景应用示范等方面探索促进数据要素市场价值升级与高质量发展的实现路径,从而为推动数据资源化、资产化和资本化的可持续运营提供参考借鉴。

面向新型电力系统的储能规划方法研究进展及展望

储能是新型电力系统非常重要的灵活性调节资源,在源网荷各端均可发挥重要的作用,在中国,储能的发展已经进入规模化发展期,如何合理、经济地利用好储能的关键是规划配置方法。在对储能规划方法研究现状的基础上,分析了储能投资运营主体多元化、应用场景和运行模式复杂化、储能技术多样化等新变化对储能规划方法的影响;提出了新能源聚集区考虑时空互补和共享机制的储能规划方法、电网侧充分市场竞争下的储能与输配电系统协同规划方法,以及用户侧电、热、氢多元储能合作/竞争共存下的规划方法。面向新型电力系统的储能规划,未来应注重电力系统不同发展阶段的整体协调性、储能投资运营主体多元化内生博弈机制的影响,以及规划方案在多目标多场景下的迁移学习方法。

强化工程案例教学,促进研究能力培养——以“MATLAB与化工数值计算”课程为例

为了更好地培养学生基于科学思维和工程实践的研究能力,以大量真实化工案例剖析为驱动,将工程案例教学法有机融入“MATLAB与化工数值计算”各个教学环节,通过工程案例教学架构设计、工程案例教学群组开发、工程案例教学方案实施以及工程案例教学考核评价等多种教学方式来不断强化学生利用先进技术方法和工具解决化学化工过程复杂工程问题的专业综合能力,有效助力我国能源化工行业“工业4.0”的升级与改造。

新型产业用地的概念辨析与规划引导机制研究

新型产业用地是新质生产力的核心孵化和承载空间,是对当前产业用地体系的重要创新与补充,厘清新型产业用地的概念内涵并探究其规划引导机制,对规范与促进新型产业用地的规划管理具有重要意义。本文首先辨析了新型产业用地的学术概念和政策界定,从土地出让市场指标分析比较了江苏省新型产业用地与江苏省和全国工业用地在土地出让指标上呈现出的相对地块面积小、平均地价高、开发强度大等特征,并从相关实践做法中总结出其规划引导具有用地功能混合、准入要求复杂等特点,进而指出其在规划引导、用地监管机制、用地效益等方面存在的问题,最后结合政策导向和实践需求,从“人、地、时、空、钱、势”六个维度提出了推进新型产业用地规划引导机制优化的策略建议。

“一带一路”高质量发展推进中国式现代化发展的理论逻辑、现实基础及实现路径

“一带一路”高质量发展能够推进中国式现代化发展。基于理论逻辑分析明确了“一带一路”高质量发展推进中国式现代化发展的内在逻辑关系,进而审视了“一带一路”高质量发展推进中国式现代化发展的现实基础。在此基础上,系统分析了“一带一路”高质量发展推进中国式现代化发展的作用机制并提出“一带一路”高质量发展推进中国式现代化发展的实现路径,主要有:加速产业转型升级,提高产业国际竞争力;优化“一带一路”高质量发展的外部环境;扩大内需,夯实中国与“一带一路”沿线国家(地区)合作的国内基础;构建更加开放安全的保障体系。基于此,更好地借助“一带一路”高质量发展契机来实现中国式现代化发展。