Digital Wealth Creation, Distribution and Common Prosperity

As a new form of social wealth,digital wealth is becoming an important force in the promotion of common prosperity.In the digital economy era,digital labor and data factors are important sources for creating digital wealth.The creation of digital commodity wealth is reflected in the process of value formation and value appreciation of digital goods,as well as in the expansion and reproduction process of data production factors.The creation of digital non-commodity wealth needs to rely on the coordination of multiple supply systems including government,enterprises,society and platforms.In the distribution of digital wealth in a socialist market economy,it is necessary to adhere to the basic distribution system with remuneration based on work as the main form and the coexistence of multiple distribution methods.It should fully reflect the value contribution of data factors while also addressing and resolving potential polarization effects caused by the distribution of digital wealth.On the basis of the new development stage,China should steadily advance the creation and accumulation of digital wealth on the basis of constantly strengthening,improving and expanding the digital economy,and should pay attention to standardizing the distribution of digital wealth in order to achieve a solid advance in the common prosperity of all the people.

Tuning mechanical behaviors of highly entangled hydrogels with the random distribution of mobile entanglements

Highly entangled hydrogels exhibit excellent mechanical properties,including high toughness,high stretchability,and low hysteresis.By considering the evolution of randomly distributed entanglements within the polymer network upon mechanical stretches,we develop a constitutive theory to describe the large stretch behaviors of these hydrogels.In the theory,we utilize a representative volume element(RVE)in the shape of a cube,within which there exists an averaged chain segment along each edge and a mobile entanglement at each corner.By employing an explicit method,we decouple the elasticity of the hydrogels from the sliding motion of their entanglements,and derive the stress-stretch relations for these hydrogels.The present theoretical analysis is in agreement with experiment,and highlights the significant influence of the entanglement distribution within the hydrogels on their elasticity.We also implement the present developed constitutive theory into a commercial finite element software,and the subsequent simulations demonstrate that the exact distribution of entanglements strongly affects the mechanical behaviors of the structures of these hydrogels.Overall,the present theory provides valuable insights into the deformation mechanism of highly entangled hydrogels,and can aid in the design of these hydrogels with enhanced performance.

A wealth distribution model with a non-Maxwellian collision kernel

A non-Maxwellian collision kernel is employed to study the evolution of wealth distribution in a multi-agent society.The collision kernel divides agents into two different groups under certain conditions. Applying the kinetic theory of rarefied gases, we construct a two-group kinetic model for the evolution of wealth distribution. Under the continuous trading limit, the Fokker–Planck equation is derived and its steady-state solution is obtained. For the non-Maxwellian collision kernel, we find a suitable redistribution operator to match the taxation. Our results illustrate that taxation and redistribution have the property to change the Pareto index.

A new method for evaluating the firing precision of multiple launch rocket system based on Bayesian theory

How to effectively evaluate the firing precision of weapon equipment at low cost is one of the core contents of improving the test level of weapon system.A new method to evaluate the firing precision of the MLRS considering the credibility of simulation system based on Bayesian theory is proposed in this paper.First of all,a comprehensive index system for the credibility of the simulation system of the firing precision of the MLRS is constructed combined with the group analytic hierarchy process.A modified method for determining the comprehensive weight of the index is established to improve the rationality of the index weight coefficients.The Bayesian posterior estimation formula of firing precision considering prior information is derived in the form of mixed prior distribution,and the rationality of prior information used in estimation model is discussed quantitatively.With the simulation tests,the different evaluation methods are compared to validate the effectiveness of the proposed method.Finally,the experimental results show that the effectiveness of estimation method for firing precision is improved by more than 25%.

Sensitivity impacts owing to the variations in the type of zero-range pairing forces on the fission properties using the density functional theory

Using the Skyrme density functional theory,potential energy surfaces of^(240)Pu with constraints on the axial quadrupole and octupole deformations(q_(20)and q_(30))were calculated.The volume-like and surface-like pairing forces,as well as a combination of these two forces,were used for the Hartree–Fock–Bogoliubov approximation.Variations in the least-energy fission path,fission barrier,pairing energy,total kinetic energy,scission line,and mass distribution of the fission fragments based on the different forms of the pairing forces were analyzed and discussed.The fission dynamics were studied based on the timedependent generator coordinate method plus the Gaussian overlap approximation.The results demonstrated a sensitivity of the mass and charge distributions of the fission fragments on the form of the pairing force.Based on the investigation of the neutron-induced fission of^(239)Pu,among the volume,mixed,and surface pairing forces,the mixed pairing force presented a good reproduction of the experimental data.

Game Theory Based Model for Predictive Analytics Using Distributed Position Function

This paper presents a game theory-based method for predicting the outcomes of negotiation and group decision-making problems. We propose an extension to the BDM model to address problems where actors’ positions are distributed over a position spectrum. We generalize the concept of position in the model to incorporate continuous positions for the actors, enabling them to have more flexibility in defining their targets. We explore different possible functions to study the role of the position function and discuss appropriate distance measures for computing the distance between the positions of actors. To validate the proposed extension, we demonstrate the trustworthiness of our model’s performance and interpretation by replicating the results based on data used in earlier studies.

Leak Detection in Water Distribution Systems Using Bayesian Theory and Fisher’s Law

A leak detection method based on Bayesian theory and Fisher’s law was developed for water distribution systems. A hydraulic model was associated with the parameters of leaks (location, extent). The randomness of parameter values was quantified by probability density function and updated by Bayesian theory. Values of the parameters were estimated based on Fisher’s law. The amount of leaks was estimated by back propagation neural network. Based on flow characteristics in water distribution systems, the location of leaks can be estimated. The effectiveness of the proposed method was illustrated by simulated leak data of node pressure head and flow rate of pipelines in a test pipe network, and the leaks were spotted accurately and renovated on time.

Calculation of the Water Distribution Networks Based on the Theory of Slow Transient Flow

Urban water supply network is a modern urban survival and development of the infrastructure of a city,and its normal running conditions have important significance. The actual hydraulic process in the variableload water distribution networks can be treated as the slow transient flow which belongs to the unsteady flow. This paper analyzes the multi-loops network slow transient model based on graph theory,and the link flow matrix is treated as the variables of the discrete solution model to simulate the process of the slow transient flow in the network. With the simulation of hydraulic regime in an actual pipe network,the changing laws of the flow in the pipes,nodal hydraulic heads and other hydraulic factors with the passage of time are obtained. Since the transient processes offer much more information than a steady process,the slow transient theory is not only practical on analyzing the hydraulic condition of the network,but also on identifying hydraulic resistance coefficients of pipes and detecting the leakage in networks.

Rough Set Theory Based Approach for Fault Diagnosis Rule Extraction of Distribution System

As the first step of service restoration of distribution system,rapid fault diagnosis is a significant task for reducing power outage time,decreasing outage loss,and subsequently improving service reliability and safety.This paper analyzes a fault diagnosis approach by using rough set theory in which how to reduce decision table of data set is a main calculation intensive task.Aiming at this reduction problem,a heuristic reduction algorithm based on attribution length and frequency is proposed.At the same time,the corresponding value reduction method is proposed in order to fulfill the reduction and diagnosis rules extraction.Meanwhile,a Euclid matching method is introduced to solve confliction problems among the extracted rules when some information is lacking.Principal of the whole algorithm is clear and diagnostic rules distilled from the reduction are concise.Moreover,it needs less calculation towards specific discernibility matrix,and thus avoids the corresponding NP hard problem.The whole process is realized by MATLAB programming.A simulation example shows that the method has a fast calculation speed,and the extracted rules can reflect the characteristic of fault with a concise form.The rule database,formed by different reduction of decision table,can diagnose single fault and multi-faults efficiently,and give satisfied results even when the existed information is incomplete.The proposed method has good error-tolerate capability and the potential for on-line fault diagnosis.

Riemann Hypothesis and Value Distribution Theory

Riemann Hypothesis was posed by Riemann in early 50’s of the 19th century in his thesis titled “The Number of Primes less than a Given Number”. It is one of the unsolved “Supper” problems of mathematics. The Riemann Hypothesis is closely related to the well-known Prime Number Theorem. The Riemann Hypothesis states that all the nontrivial zeros of the zeta-function lie on the “critical line” . In this paper, we use Nevanlinna’s Second Main Theorem in the value distribution theory, refute the Riemann Hypothesis. In reference [7], we have already given a proof of refute the Riemann Hypothesis. In this paper, we gave out the second proof, please read the reference.

Behavioral Decision-Making of Key Stakeholders in Public-Private Partnerships:A Hybrid Method and Benefit Distribution Study

Public-private partnerships(PPPs)have been used by governments around the world to procure and construct infrastructural amenities.It relies on private sector expertise and funding to achieve this lofty objective.However,given the uncertainties of project management,transparency,accountability,and expropriation,this phenomenon has gained tremendous attention in recent years due to the important role it plays in curbing infrastructural deficits globally.Interestingly,the reasonable benefit distribution scheme in a PPP project is related to the behavior decisionmaking of the government and social capital,aswell as the performance of the project.In this paper,the government and social capital which are the key stakeholders of PPP projects were selected as the research objects.Based on the fuzzy expected value model and game theory,a hybrid method was adopted in this research taking into account the different risk preferences of both public entities and private parties under the fuzzy demand environment.To alleviate the problem of insufficient utilization of social capital in a PPP project,this paper seeks to grasp the relationship that exists between the benefit distribution of stakeholders,their behavioral decision-making,and project performance,given that they impact the performance of both public entities and private parties,as well as assist in maximizing the overall utility of the project.Furthermore,four game models were constructed in this study,while the expected value and opportunity-constrained programming model for optimal decision-making were derived using alternate perspectives of both centralized decision-making and decentralized decision-making.Afterward,the optimal behavioral decision-making of public entities and private parties in four scenarios was discussed and thereafter compared,which led to an ensuing discussion on the benefit distribution system under centralized decision-making.Lastly,based on an example case,the influence of different confidence levels,price,and fuzzy uncertainties of PPP projects on the equilibrium strategy results of both parties were discussed,giving credence to the effectiveness of the hybrid method.The results indicate that adjusting different confidence levels yields different equilibriumpoints,and therefore signposts that social capital has a fair perception of opportunities,as well as identifies reciprocal preferences.Nevertheless,we find that an increase in the cost coefficient of the government and social capital does not inhibit the effort of both parties.Our results also indicate that a reasonable benefit distribution of PPP projects can assist them in realizing optimum Pareto improvements over time.The results provide us with very useful strategies and recommendations to improve the overall performance of PPP projects in China.

甘南高寒草甸退化对植物功能群物种多样性与物种多度分布的影响

【目的】探究甘南高寒草甸植物功能群多样性及其物种多度分布对退化的响应,分析随退化程度的加深不同植物功能群的群落构建机理及资源利用方式。【方法】研究以甘南高寒草甸为对象,采用样地调查法收集数据,使用物种多度模型对其进行拟合分析,并采用双向聚类分析对群落物种进行分类。【结果】随着退化程度的加深,植被优势种以禾本科和莎草科植物为主,逐渐变为杂类草功能群植物为主,杂类草功能群在群落多样性分布中起主导作用;全部物种多度分布随着退化程度的加深发生变化,其中,无退化草甸的最优拟合模型是VOLKOV,轻度退化草甸的最优拟合模型是GEO,中度退化草甸和重度退化草甸的最优拟合模型为BRO,资源分配模式由随机分配转向固定分配的分配模式;禾草功能群的最优拟合模型以生态位模型为主,资源分配方式由固定分配和随机分配共同主导,豆科功能群的最优拟合模型是BRO,资源分配方式以固定分配为主,杂类草功能群的最优拟合模型从中性模型向生态位模型转变,与全部物种多度分布的最优模型基本一致,且资源分配由随机分配向固定分配转变。【结论】杂类草功能群是影响群落物种多度分布的主要原因,但是禾草和豆科功能群的贡献也不可忽视。

基于GPD理论和百分位数阈值法的轮轨力极值估计与动力系数研究

在高速铁路无砟轨道结构设计和检算时,列车荷载设计值是关键的设计参数之一。基于GPD理论,研究全波段不平顺激励下的轮轨力极值估计方法,并与脉冲激励下的结果对比,为无砟轨道结构设计和相关规范的完善提供依据。结果表明:采用百分位数法选取阈值时,应对样本分簇以提高样本之间的独立性和轮轨力极值估计的精度;提出结合百分位数阈值的形状参数筛选法进行轮轨力极值估计,确定了每簇样本量大小和形状参数区间;样本量宜取3×10^(5)~5×10^(5)个,百分位数阈值宜取50%~98%,且以轮轨力极值估计值的均值作为最终的轮轨力极值估计值;列车速度为250~400 km/h的列车荷载设计值动力系数分别为2.2、2.4、2.6和2.8。

黄土抗剪强度参数均值与方差的Bayes估计及其应用

为解决黄土强度参数估计问题,从工程勘察项目中共收集统计了3384组Q1、Q2、Q3黄土强度参数黏聚力c、内摩擦角φ值的测试数据,不考虑二者的相关性,将参数均值和方差都作为随机变量,建立起黄土强度参数c、φ的正态-逆伽马先验分布。基于Bayes理论,利用共轭先验法推导了参数后验分布和后验概率密度函数的期望值求解公式,确定了估计的误差。以陕西泾阳黄土边坡为例,利用所建立的先验分布和边坡土层测试强度指标,求取参数的后验分布,进一步估计了边坡失效概率的概率分布和稳定系数均值的概率分布。结果表明:在95%的置信度下,按稳定系数评价,边坡均处于基本稳定状态,且稳定系数置信区间小;按失效概率评价,边坡接近稳定状态,但失效概率的置信区间较大,黄土强度参数的方差控制着边坡失效概率的置信区间,将方差作为随机变量,考虑方差变异性,能更科学地评估黄土工程的可靠度。

氦气富集理论及富氦资源勘探思路

基于国内外重要含油气盆地天然气样品和岩石样品,进行氦气含量、组分、同位素及岩石样品中U、Th含量分析,对氦气富集机理、富集模式、分布规律和勘探思路等进行研究。研究认为,能否形成富氦气藏取决于气藏中氦气的供给量和天然气对氦气的稀释程度,其富集成藏特征可以概括为“多源供氦、主源富氦;氦氮伴生、同溶共聚”。氦气主要来自岩石中U和Th的放射性衰变,所有岩石都含有微量的U和Th,都可为气藏提供一定的氦源,但以花岗岩或变质岩为主的大型古老基底往往是富氦气藏的主力氦源。古老基底中的U和Th经历漫长地质历史时期的衰变生成的氦气连同基底岩石中无机含氮化合物裂解生成的氮气溶解在水中,随构造抬升,地层水沿断裂往上运移至气藏并释放出氦和氮气,使气藏同时富集氦和氮气,氦氮的伴生关系十分明显。在东部拉张型盆地,构造活动强烈,天然气中混有一定比例的幔源氦气。富氦气藏大多发育于有断裂沟通的古老基底之上、后期经历大幅度构造抬升、盖层封盖能力适中、天然气充注强度中等、地下水比较活跃的常压或低压区。氦气勘探须放弃以寻找天然气甜点和高产大气田的传统“兼探”思路,根据氦气富集特点,寻找有断裂并与古老基底沟通、晚期构造抬升幅度较大、盖层封盖能力相对较弱、天然气充注强度不高、古老地层水较丰富的气藏。

基于渐进均匀化方法的CFRP缠绕储氢气瓶多尺度仿真研究

为模拟储氢气瓶的碳纤维复合材料(CFRP)缠绕层复杂结构及应力状态,建立介观尺度CFRP缠绕层代表体积单元(RVE),基于渐进均匀化方法求解均质化复合材料的等效材料参数。通过仿真CFRP层合板拉伸试验,验证渐进均匀化方法和宏观等效材料参数的正确性。基于网格理论确定储氢气瓶缠绕层,细观建模内衬相邻环向缠绕层,RVE模拟其余复合材料层,可准确预测气瓶响应。多尺度模拟70 MPa公称压力作用下三种CFRP缠绕层叠顺序结构的Ⅳ型储氢气瓶响应,结果表明:复合材料均质化模型与细观模型相比,复合材料层纤维方向应力的最大误差为8.7%,内衬等效应力最大误差为2%;交替缠绕次数越少,均质化模型误差越小。先螺旋后环向的缠绕方式或可将复合材料气瓶破裂压提高约15%。

基于络病学说浅析广泛性焦虑障碍发病与治疗

广泛性焦虑障碍(GAD)在临床中越来越常见,患者除心理上持久而过度的紧张担心外,还伴随一系列躯体化症状。本文将络病学说引入广泛性焦虑障碍,从络脉网状结构与广泛性焦虑障碍症状分布、络病病机与广泛性焦虑障碍病变特点、络病证治与广泛性焦虑障碍治疗三个方面说明两者之间的相似性和关联性。基于络病学说总结出“瘀”“滞”“虚”“损”为该病病机演变的关键,气滞血瘀为初始状态,日久则向络虚不荣、络脉损伤阶段转化,呈现虚实夹杂的病理状态。因此,根据以上核心病机,治疗上应注重行滞通络法和补虚通络法的应用。

考虑温度和时间双重影响的混凝土蠕变模型构建

为了研究温度对混凝土结构蠕变特性的影响,开展不同温度作用下混凝土三轴蠕变试验,分析了不同温度作用下混凝土结构的轴向蠕变特性。在温度作用下,混凝土的内部损伤与非均匀程度参数有关,建立非均匀程度参数与温度之间的关系;假定混凝土蠕变模型是关于温度和时间的函数,结合上述损伤变量和微元体强度分布概率模型,建立了考虑温度和时间双重影响的混凝土蠕变模型。基于最小二乘法和试验数据对模型的准确性进行验证,并采用西原模型对其优越性作进一步验证。结果表明:不同温度作用下蠕变损伤模型与试验数据的吻合度都较好,且相关性系数在0.95以上,说明了所建立模型的正确性;同时,该模型与试验数据的吻合度要优于西原模型,并且在描述加速蠕变方面具有一定的优越性。该理论模型为地下工程中混凝土支护结构的长期变形预测研究提供理论依据。

贝叶斯推断视角的系统调控内涵与策略研究

系统调控思想是融合一般系统理论及复杂系统自组织等理论,倡导通过建构与演化结合,对系统整体进行调控与管理,从而达至系统目标及实现系统和谐有序的一种理论。系统调控思想在认知及推断角度与贝叶斯推断有异曲同工之妙。贝叶斯推断的认识论意蕴及演绎与归纳确证逻辑从逻辑角度分析并论证了系统调控思想中建构及演化策略结合的必要性,为系统调控思想提供了理论基础。基于贝叶斯推断视角,文中给出增强先验知识、加强过程学习等5类调控策略。

高职“理论+实践”型专业课分布式教学研究

“理论+实践”型课程是教育部人才培养工作状态数据采集平台中的一类课程,它在高职专业课程体系中占比高;优化“理论+实践”型课程教学安排,确保学生足额、真实参加实践,从而提高教学效果,意义重大。文章提出通过对“理论+实践”型课程采用“场所分布、理实交替”的分布式教学,解决当前教学场所单一带来的教学资源条件利用率不高、课程理论与实践教学不易监控、教学效果不佳等问题;通过完善专业教学进程计划表、增加“执行单位”栏,推动课程建设与实施向院外分布,有助于在适应市场变化的情况下优化专业设置,解决跨院系开设新专业和组建专业群的难题;通过课程专用教室建设,确保课程分布式教学顺利实施。