Contract Mechanism of Water Environment Regulation for Small and Medium Sized Enterprises Based on Optimal Control Theory

The small and scattered enterprise pattern in the county economy has formed numerous sporadic pollution sources, hindering the centralized treatment of the water environment, increasing the cost and difficulty of treatment. How enterprises can make reasonable decisions on their water environment behavior based on the external environment and their own factors is of great significance for scientifically and effectively designing water environment regulation mechanisms. Based on optimal control theory, this study investigates the design of contractual mechanisms for water environmental regulation for small and medium-sized enterprises. The enterprise is regarded as an independent economic entity that can adopt optimal control strategies to maximize its own interests. Based on the participation of multiple subjects including the government, enterprises, and the public, an optimal control strategy model for enterprises under contractual water environmental regulation is constructed using optimal control theory, and a method for calculating the amount of unit pollutant penalties is derived. The water pollutant treatment cost data of a paper company is selected to conduct empirical numerical analysis on the model. The results show that the increase in the probability of government regulation and public participation, as well as the decrease in local government protection for enterprises, can achieve the same regulatory effect while reducing the number of administrative penalties per unit. Finally, the implementation process of contractual water environmental regulation for small and medium-sized enterprises is designed.

An Incentive Mechanism Model for Crowdsensing with Distributed Storage in Smart Cities

Crowdsensing,as a data collection method that uses the mobile sensing ability of many users to help the public collect and extract useful information,has received extensive attention in data collection.Since crowdsensing relies on user equipment to consume resources to obtain information,and the quality and distribution of user equipment are uneven,crowdsensing has problems such as low participation enthusiasm of participants and low quality of collected data,which affects the widespread use of crowdsensing.This paper proposes to apply the blockchain to crowdsensing and solve the above challenges by utilizing the characteristics of the blockchain,such as immutability and openness.An architecture for constructing a crowdsensing incentive mechanism under distributed incentives is proposed.A multi-attribute auction algorithm and a k-nearest neighbor-based sensing data quality determination algorithm are proposed to support the architecture.Participating users upload data,determine data quality according to the algorithm,update user reputation,and realize the selection of perceived data.The process of screening data and updating reputation value is realized by smart contracts,which ensures that the information cannot be tampered with,thereby encouraging more users to participate.Results of the simulation show that using two algorithms can well reflect data quality and screen out malicious data.With the help of blockchain performance,the architecture and algorithm can achieve decentralized storage and tamper-proof information,which helps to motivate more users to participate in perception tasks and improve data quality.

Design and pricing of maintenance service contract based on Nash non-cooperative game approach

Nowadays manufacturers are facing fierce challenge.Apart from the products,providing customers with multiple maintenance options in the service contract becomes more popular,since it can help to improve customer satisfaction,and ultimately promote sales and maximize profit for the manufacturer.By considering the combinations of corrective maintenance and preventive maintenance,totally three types of maintenance service contracts are designed.Moreover,attractive incentive and penalty mechanisms are adopted in the contracts.On this basis,Nash non-cooperative game is applied to analyze the revenue for both the manufacturer and customers,and so as to optimize the pricing mechanism of maintenance service contract and achieve a win-win situation.Numerical experiments are conducted.The results show that by taking into account the incentive and penalty mechanisms,the revenue can be improved for both the customers and manufacturer.Moreover,with the increase of repair rate and improvement factor in the preventive maintenance,the revenue will increase gradually for both the parties.

Contract theory based incentive mechanism design for buffer resource in wireless caching networks

Evidences indicate that,due to the limited caching capacity or inaccurate estimation on users’preferences,the requested files may not be fully cached in the network edge.The transmissions of the un-cached files will also lead to duplicated transmissions on backhaul channels.Buffer-aided relay has been proposed to improve the transmission performance of the un-cached files.Because of the limited buffer capacity and the information asymmetric environment,how to allocate the limited buffer capacity and how to incentivize users in participating buffer-aided relay have become critical issues.In this work,an incentive scheme based on the contract theory is proposed.Specifically,the backlog violation probability,i.e.,the buffer overflow probability,is provided based on the martingale theory.Next,based on the backlog violation probability,the utility functions of the relay node and users are constructed.With the purpose to maximize the utility of the relay node,the optimal contract problem is formulated.Then,the feasibility of the contract is also demonstrated,and the optimal solution can be obtained by the interior point method.Finally,numerical results are presented to demonstrate effectiveness of the proposed contract theory scheme.

Kinetics and Mechanism of Oxidation Induced Contraction of MgAl2O4 Spinel Carbon Composites Reinforced by Al4C3 in situ Reaction

Kinetics and mechanism of oxidation induced contraction of MgAl2O4 spinel carbon composites reinforced by Al4C3 in situ reaction were researched in air using vertical high temperature thermal dilatometer from 25℃to 1400℃.It is shown that oxidation induced contraction of MgAl2O4 spinel carbon composites reinforced Al4C3 in situ reaction is the common logarithm of oxidation time t and the oxygen partial pressure P inside MgAl2O4 spinel carbon composites reinforced by Al4C3 in situ reaction in air at 1400℃is as follows:P=F(-2.75×10^-4A+2.13×10^-3)lnt.The nonsteady diffusion kinetic equation of O2 at 1400℃inside the composites is as follows:J=De lnt.Acceleration of the total diffusional?flux of oxygen inside the composites at 1400℃is in inverse proportion to the oxidation time.The nonsteady state effective diffusion coefficient De of O2(g)inside the composites decreases in direct proportional to the increase of the amount of metallic aluminium.The method of preventing the oxidation induced contraction of MgAl2O4 spinel carbon composites reinforced by Al4C3 in situ reaction is to increase the amount of Al.The slag erosion index of MgO-Al2O3 spinel carbon composite reinforced by Al4C3 in situ reaction is 0.47 times that of MgO-CaO brick used in the lining above slag line area of a VOD stainless steel-making vessel.HMOR of MgO-Al2O3 spinel carbon composite reinforced by Al4C3 in situ reaction is 26.7 MPa,HMOR of the composite is 3.6 times the same as that of MgO-CaO brick used in the lining above slag line area of a VOD vessel.Its service life is two times as many as that of MgO-CaO brick.

Research on the Management Mechanism of Teachers in Public Security Colleges and Universities Based on Psychological Contract

In today＇s management of the teaching staff of public security colleges and universities, the research on the Psychological Contract problem is not only beneficial to the management and estimation of the teachers, but also has an important role in the coordination and stability of the whole system of public security colleges and universities. Based on the theory of Psychological Contract, this paper expounds the basic understanding and research value of Psychological Contract, and puts forward the measures to cultivate teachers＇ good character and understanding, and as well as coordinate teachers＇ needs, effectively change teachers＇ attitude and actively promote the establishment of good interpersonal relationship to explain the research on the Management Mechanism of Teachers in Public Security Colleges and Universities from the Perspective of Psychological Contract.

Supply chain coordination with participators' risk bias under buy-back contract

Considering participators' risk bias,which is measured by the method of value at risk,the risk constraints in a two-echelon supply chain coordination under buy-back contract is equal to giving the order of an upper bound.With a risk-averse dominant enterprise(M)and a risk-neutral non-dominant one(R),the coordination which optimizes the supply chain under the risk constraints is achieved by a penalty mechanism L to reduce R's order.With risk-neutral M and risk-averse R,M can motivate R to increase his order by providing a risk subsidy K,and two cases are discussed.If the risk constraints of R cannot satisfy M's participation constraint to offer K,M will prefer to accept R's order to obtain a sub-optimization solution of the supply chain.Or else,with M's K,R's optimal order just coordinates the supply chain,which is equal to the case without risk bias,and in this situation R's risk bias only affects the profit distribution between the participators.

Biomechanical response of skeletal muscle to eccentric contractions

The forced lengthening of an activated skeletal muscle has been termed an eccentric contraction(EC).This review highlights the mechanically unique nature of the EC and focuses on the specific disruption of proteins within the cell known as cytoskeletal proteins.The major intermediate filament cytoskeletal protein,desmin,has been the focus of work in this area because changes to desmin occur within minutes of ECs and because desmin has been shown to play both a mechanical and biologic role in a muscle's response to EC.It is hoped that these types of studies will assist in decreasing the incidence of muscle injury in athletes and facilitating the development of new therapies to treat muscle injuries.

Hierarchical Disturbance Propagation Mechanism and Improved Contract Net Protocol for Satellite TT&C Resource Dynamic Scheduling

The practical engineering of satellite tracking telemetry and command(TT&C)is often disturbed by unpredictable external factors,including the temporary rise in a significant quantity of satellite TT&C tasks,temporary failures and failures of some TT&C resources,and so on.To improve the adaptability and robustness of satellite TT&C systems when faced with uncertain dynamic disturbances,a hierarchical disturbance propagation mechanism and an improved contract network dynamic scheduling method for satellite TT&C resources were designed to address the dynamic scheduling problem of satellite TT&C resources.Firstly,the characteristics of the dynamic scheduling problem of satellite TT&C resources are analyzed,and a mathematical model is established with the weighted optimization objectives of maximizing the revenue from task completion and minimizing the degree of plan disturbance.Then,a bottom-up distributed dynamic collaborative scheduling framework for satellite TT&C resources is proposed,which includes a task layer,a resource layer,a central internal collaboration layer,and a central external collaboration layer.Dynamic disturbances are propagated layer by layer from the task layer to the central external collaboration layer in a bottom-up manner,using efficient heuristic strategies in the task layer and the resource layer,respectively.We use improved contract network algorithms in the center internal collaboration layer and the center external collaboration layer,the original scheduling plan is quickly adjusted to minimize the impact of disturbances while effectively completing dynamic task requirements.Finally,a large number of simulation experiments were carried out and compared with various comparative algorithms.The results show that the proposed algorithm can effectively improve the solution effect of satellite TT&C resource dynamic scheduling problems,and has good application prospects.

Effect of cardiac ventricular mechanical contraction on the characteristics of the ECG: A simulation study

Introduction: The 12-lead electrocardiogram (ECG) is the most widely-used tool for the detection and diagnosis of cardiac conditions including myocardial infarction and ischemia. It has therefore been a focus of cardiac modeling. However, the most contemporary in silico ECG investigations of the intact heart have assumed a static heart and ignored the mechanical contraction that is an essential component of cardiac function. The aim of this study was to utilize electromechanically coupled human ventricle models to explore the consequences of ventricular mechanical contraction on the ECG profiles. Methods and Results: Biophysically detailed human ventricular cell models incorporating contractile activity and a stretchactivated current (Isac) were incorporated into a 3D human ventricular model within a human torso, from which 12-lead ECGs were computed at a stimulation rate of 1 Hz. Compared to the static model, ventricular contraction without Isac had little effect on the QRS complex, but shifted the T-wave peak leftwards and reduced its peak amplitude. With Isac, ventricular mechanical contraction increased the QRS duration by 23% and QT interval by 5%. Conclusion: Mechanical contraction of the heart has a significant effect on the morphology and characteristics of the ECG particularly on the T-wave. The alteration of the cell membrane kinetics by stretch via Isac further exacerbates these effects. Our simulation data suggest that mechanical contraction should be considered in the interpretation of ECGs in pathological conditions, especially those in which mechanical contraction of the heart is impaired.

Credit risk constraint mechanisms in rural financial reform

To research the operating mechanisms of rural financial reform, through setting up a contract model, the constraint roles of reputation and legal intervention on the default risk arising in the operating of the credit union funds are inspected. Analysis indicates that the increase in reputation cost can reduce the probability of union member default behavior and the probability of turning to the law for the credit union funds. Meanwhile, the amount of loans and the interest rates can increase the probability of turning to the law for the credit union funds. Below the marginal values, the penalty mechanisms can reduce the balancing probabilities of member default behavior and turning to the law for the credit union funds, namely, the penalty has some "substitution effect" for turning to the law for the credit union funds.

Emission trading innovation mechanism based on blockchain

The rationality and scientific nature of the emission trading mechanism is the key to the effective implementation of environmental and economic policies.As far as China is concerned,there are phenomena such as information asymmetry,low supervision efficiency,and alienation of government and enterprise behaviors caused by the incomplete mechanism of emission trading in the practice of different pilots.The introduction of blockchain technology can innovate the traditional transaction model and form a decentralized peer-to-peer transaction and a trusted emission trading market.To this end,based on the current emission trading mechanism and the characteristics of blockchain technology,this paper couples the core technologies of blockchain with the functional requirements of application scenarios.Then,an innovative application framework is built based on the consortium blockchain Fabric from three aspects:emission trading supervision,secondary trading market construction,as well as emission trading incentive and punishment mechanisms.Technologies such as the consensus mechanism,smart contract,Merkle tree and asymmetric encryption are comprehensively applied in this process.In the construction of the blockchain framework of the secondary market for emission trading,institutional changes and innovations brought about by the blockchain at various levels are analyzed in terms of participants,transaction processes and the transaction scope.At the same time,smart contract functions and algorithms are designed for the purchase,transfer-out and trading of emission rights,and the operation business logic of the smart contract is analyzed.On the whole,this paper explores the application framework of blockchain technology in the field of emission trading at the macro level,and analyzes the application mechanism of the corresponding technologies of blockchain at each coupling point in the framework at the micro level.The collaborative analysis at the two levels shows that blockchain technology and the requirements of emission trading mechanism can be effectively coupled,and the application of blockchain technology can promote the effective supervision of enterprises'emission behavior,making the processes of the purchase,transfer and transaction of emission rights intelligent and automated,and providing technical support for cross regional emission trading to reduce transaction costs and management complexity.In addition,the issuance of emission credits based on smart contract will be a new incentive for companies to actively participate in transactions.Based on the above analysis,this paper believes that the innovative application of blockchain technology is of great significance in the promotion of the market-based allocation of element of emission trading and the rational allocation of environmental resources.It will lead to a major breakthrough in the traditional trading system in terms of trading modes,forming a value transmission network of environmental resources between the government and polluters.

Comparison of Formation Mechanism Between Helium and Argon Atmospheric Pressure Plasma Jets

To compare the formation mechanisms of He and Ar atmospheric pressure plasma jets(APPJs),an intensified charge-coupled device(ICCD)are utilized to observe the dynamic process of APPJ.The experimental results show that,He APPJ is first ignited,which is independent of the dielectric barrier discharge(DBD)between the two wrapped electrodes when the high voltage placed at the downstream.The intensity and APPJ length under positive discharge pulses are bigger than that under negative discharge pulses due to the space charge effect.The He APPJ is formed by the DBD development when the high-voltage electrode placed at the upstream side of tube.However,the plasma plume in Ar APPJ is formed by the propagation of DBD whatever the high-voltage electrode is arranged on upstream or downstream side of ground electrode.The difference in formation mechanism between He and Ar APPJs is mainly caused by the gas properties.Moreover,during the discharges,Ar tends to lead to thermal instability and electron Maxwellian instability.

Research on Coordination Mechanism in Construction Project Organization

The construction process of modern project is distributed across teams, departments, or systems, each of which is corresponding to a particular project unit. Conflicts often occur in construction project organization because of the improper coordination amongbetween these project units. The primary reason for coordination puzzle in project organization is generally the diversification of culture and technology. In order to enhance the organization’s performance efficiency, good and effective coordination mechanism aimed at diversification of culture and technology is needed. The relationship amongbetween parties and project units is defined and expressed through contract, so construction project organization usually relies on various contracts to deal with its cooperative partner relationship. However, the contractual mode is a defensive method which is more prone to conflicts than the conglomerate of diversification, especially evaluated from the aspects of culture and value. By culture integration—a more flexible way to make up the shortage of contractual mode, a harmonious atmosphere in which organization members can exert their potential ability can be created to help project administrators mitigate organization conflicts and achieve the common goals of project organization. Based on arbitration theory, moreover, this paper puts forward a combined coordination mechanism-hierarchical coordination and nonhierarchical coordination—to resolve the conflicts resulted from diversification of technology. The introduction of intelligent agents system has the advantage of a more systematic and organizational method in reality without causing unnecessary emotional and the behavioural side effects is an effective instrument to utilize this coordination mechanism and realizes its established goals.

数字经济发展与城市收缩——来自夜间灯光数据的证据

数字经济正成为社会经济发展的新动能,它对于抑制城市收缩、促进城市协调发展具有深远影响。利用2011—2021年夜间灯光数据,识别城市收缩,并考察数字经济发展对城市收缩的影响。研究发现,数字经济发展可以显著抑制城市收缩;数字经济发展抑制城市收缩的效应在收缩型城市以及市场化水平低、教育水平低的地区表现得更为明显;城市收入差距、产业结构升级、城市创新创业是数字经济发展抑制城市收缩的重要渠道,加强网络基础设施建设会更有利于数字经济抑制城市严重收缩。进一步研究发现,数字经济发展对城市收缩的影响具有门槛效应,即当数字经济发展达到一定水平后,它对城市收缩的抑制作用才会显现,同时抑制作用具有边际报酬递增的后发性优势。本研究有助于揭示数字经济发展影响城市收缩的作用机制,对于如何利用数字经济有效抑制城市收缩提供了经验支持。

体育仲裁制度建设重点问题研究

中国体育仲裁委员会设立运行伊始,在仲裁程序与规则适用中面临一些难题,集中体现在运动员工作合同纠纷由劳动仲裁委员会管辖还是体育仲裁委员会管辖更为妥当,如何强化与国内外解纷机制的衔接与协调,如何充分保障体育纠纷解决及时性等。鉴于体育仲裁在管辖、执行、专业性等方面具有优势,由体育仲裁委员会管辖运动员工作合同纠纷更为合适;体育组织还需积极探索建设多元化的内部解纷机制,体育仲裁委员会则应适当行使自裁管辖权,做好内部解纷机制与体育仲裁的衔接;同时,关注国际体育解纷机制的新发展、新变化,确保国际体育解纷机制与体育仲裁的协调,积极回应体育纠纷处理的及时性要求,形成由“法律—规则—办法”构成的临时措施规则体系。

基于双注意力机制图神经网络的智能合约漏洞检测方法

随着区块链技术的广泛应用,智能合约的内部逻辑越来越复杂。然而,目前大多数智能合约漏洞检测方法存在假阳性率高、检测准确率低等问题。为此,文章提出一种基于双注意力机制图神经网络的智能合约漏洞检测方法,用于智能合约漏洞检测,旨在提升检测的准确性和效率。文章在图卷积网络的卷积层中引入了多头注意力机制,并在特征传播阶段动态计算邻接节点信息对应的注意力权重。该机制使模型在特征聚合时更加关注与当前节点最相关的邻居节点,从而提升对重要特征的辨识能力。在图池化阶段,采用注意力池化机制选择和聚合节点特征,进一步提升对关键节点的关注度,提高了对漏洞检测影响较大特征的识别能力。文章采用以太坊智能合约漏洞样本数据集(ESC)进行实验,实验结果表明,与其他检测技术相比,文章所提方法在识别复杂智能合约漏洞方面具有更快的检测速度和更高的准确性。

面向合同信息抽取的动态多任务学习方法

对于合同文本中要素和条款两类信息的准确提取,可以有效提升合同的审查效率,为贸易各方提供便利化服务.然而当前的合同信息抽取方法一般训练单任务模型对要素和条款分别进行抽取,并没有深挖合同文本的特征,忽略了不同任务间的关联性.因此,采用深度神经网络结构对要素抽取和条款抽取两个任务间的相关性进行研究,并提出多任务学习方法.所提方法首先将上述两种任务进行融合,构建一种应用于合同信息抽取的基本多任务学习模型;然后对其进行优化,利用Attention机制进一步挖掘其相关性,形成基于Attention机制的动态多任务学习模型;最后针对篇章级合同文本中复杂的语义环境,在前两者的基础上提出一种融合词汇知识的动态多任务学习模型.实验结果表明,所提方法可以充分捕捉任务间的共享特征,不仅取得了比单任务模型更好的信息抽取结果,而且能够有效解决合同文本中要素与条款间实体嵌套的问题,实现合同要素与条款的信息联合抽取.此外,为了验证该方法的鲁棒性,在多个领域的公开数据集上进行实验,结果表明该方法的效果均优于基线方法.

基于区块链的知识密集型服务业数据共享动态激励机制的构建

过高的初始投资和维护成本以及知识密集型服务组织间天然竞争关系限制区块链广泛应用及数据共享平台发展。通过对知识密集型服务业数据共享策略进行演化博弈分析,构建一种基于区块链智能合约的知识密集型服务组织的数据共享动态激励机制。针对产业数据共享现状,于博弈模型中引入区块链投资维护成本、数据竞争成本及激励成本/收益3个影响因素,通过复制动态方程分析组织间数据共享演化稳定策略。设计数据共享激励规则,并利用智能合约技术实现动态调整激励成本/收益,鼓励服务组织积极参与数据共享。结果表明:当服务组织接受符合数据共享策略条件的激励收益后,数据共享参与者比例最终达到饱和,且激励收益越大,趋近饱和状态的速度越快;针对不同数据共享策略的激励成本不仅有效增加知识密集型服务组织参与数据共享的意愿,且为知识密集型服务业数据共享平台带来额外收入。

科学数据共享伦理秩序建构研究

[目的/意义]科学数据共享伦理秩序建构,旨在强化共享参与主体行为的正当性与合理性,规范共享过程与规约主体间际关系。科学数据共享是新型数据赋权场域,数据共享风险及不确定性增强,为避免数据共享及重用伦理失序问题,科学数据共享伦理秩序建构亟不可待。[方法/过程]在阐释科学数据伦理秩序内涵与属性的基础上,论证科学数据共享伦理秩序建构的实然基础与应然要求,系统论述科学数据共享伦理秩序的建构进路。[结果/结论]科学数据共享伦理秩序建构需要遵循理念公平、过程公正与结果正义的基本价值准则,以制度契约保障有效性、以激励机制确保可实施性、以平台互惠共生治理逻辑实现可控性。