Study of the Optimization and Adjustment ofthe IndustrialStructure Subjected to Water Resource in the Drainage Area of the Yellow River

Since the 1990s, the Yellow River stream has been temporarily interrupted for several years, which affects the development of society, the economy and human life, limits the economic potential of the drainage areas, and especially causes great harm to regions on the lower reaches. Based on the analysis of the relationship between the development of society and economy and water scarcity, the author thinks it is necessary to optimize and adjust the industrial structure that has extravagantly consumed enormous amounts of water, and to develop ecological agriculture, industry and tourism which are balanced with the ecological environment. Finally, the author puts forward several pieces of advice and countermeasures about how to build the economic systems by which water can be used economically.

A Study on the Interaction among Financial Development,Industrial Adjustment and Urbanization

This paper attempts to study the interactive relationship among financial development,industrial structure adjustment and urbanization in China.Based on the data from 1978 to 2018,this paper establishes a VAR model for empirical analysis.The results show that after the impulse response analysis and variance decomposition of the model,industrial structure adjustment and urbanization have a positive impact on financial development in the long run.Financial development and industrial structure adjustment do not play a positive role in the process of urbanization,and there is still room for further development.It is suggested that the state should strengthen the financial support for urbanization so that the two can develop in coordination.At the same time,we should adhere to the simultaneous development of industrial structure adjustment and urbanization to ensure the simultaneous development of financial scale and efficiency.

Nexus Between Financial Liberalization, Balance Of Payment And Economic Growth In Nigeria

The objectives of this paper are to examine the nexus between financial liberalization,balance of payment and economic growth in Nigeria.The scope of this study due to data availability,especially on measures of balance of payment,covers the period of 1986-2017.This study adopts econometrics techniques of analysis by using Panel Unit Root Tests and Co-integration analysis which is used to determine the long run relationship among economic variables.To test the co-integration relationship this study followed the system proposed by Pedroni(1991)who expands the Engle and Granger[9]two stage technique to heterogeneous board information structure.The study adopts annual time series secondary data for the period of 1986 to 2017.Balance of payment,Official Exchange Rate,Inflation rate(%),Balance of trade,Trade openness,Real Gross Domestic Product growth,and Term of Trade,all data used were obtained from the World Development Indicators.The findings of this study revealed that an increase in exchange rate,interest rate,inflation rate,and trade openness have negatively affect economic growth.Hence,changes or movements in these variables do not necessarily prompt the liberalization decision in the real sector.Therefore,the need to address balance of payment is important,in accordance with the low rate of development in Nigeria.We therefore,recommend that government should monitor both Fiscal and Monetary policies’variables that can significantly influence economic growth in Nigeria.That is,adequate balance of payment that can encourage appropriate financial liberalization should be put in place with,Official Exchange Rate,Inflation rate(%),Balance of trade,Trade openness.

A structural topological optimization method for multi-displacement constraints and any initial topology configuration

In density-based topological design, one expects that the final result consists of elements either black （solid material） or white （void）, without any grey areas. Moreover, one also expects that the optimal topology can be obtained by starting from any initial topology configuration. An improved structural topological optimization method for multidisplacement constraints is proposed in this paper. In the proposed method, the whole optimization process is divided into two optimization adjustment phases and a phase transferring step. Firstly, an optimization model is built to deal with the varied displacement limits, design space adjustments, and reasonable relations between the element stiffness matrix and mass and its element topology variable. Secondly, a procedure is proposed to solve the optimization problem formulated in the first optimization adjustment phase, by starting with a small design space and advancing to a larger deign space. The design space adjustments are automatic when the design domain needs expansions, in which the convergence of the proposed method will not be affected. The final topology obtained by the proposed procedure in the first optimization phase, can approach to the vicinity of the optimum topology. Then, a heuristic algorithm is given to improve the efficiency and make the designed structural topology black/white in both the phase transferring step and the second optimization adjustment phase. And the optimum topology can finally be obtained by the second phase optimization adjustments. Two examples are presented to show that the topologies obtained by the proposed method are of very good 0/1 design distribution property, and the computational efficiency is enhanced by reducing the element number of the design structural finite model during two optimization adjustment phases. And the examples also show that this method is robust and practicable.

Asynchronous Nested Optimization Algorithms and Their Parallel Implementation

Large scale optimization problems can only be solved in an efficient way, if their special structure is taken as the basis of algorithm design. In this paper we consider a very broad class of large-scale problems with special structure, namely tree structured problems. We show how the exploitation of the structure leads to efficient decomposition algorithms and how it may be implemented in a parallel environment.

Research on vertical deformation during construction of Shanghai World Financial Center

Shanghai World Financial Center is one of the highest buildings in the world, of which cumulation of vertical deformation during construction is significant and worth investigating. A refined finite element model was developed to conduct full-process analysis of construction of super-high rise buildings like Shanghai World Financial Center, in which the discrete analysis method of time-varying structures and age-adjusted effective modulus method were both used. In the finite element analysis, the whole construction process was divided into a series of stages, each with a structural system that is a part of the whole structure and with different material parameters, geometrical parameters, loading and boundary conditions. The whole construction process of Shanghai World Financial Center in consideration of creep of concrete was simulated successfully by using the finite element model and the analytical method developed. With respect to different construction stage, the total vertical deformation, inter-floor compression deformation and the relative deformation between the outer frame and the core-wall were obtained through the analysis. The comparison between the results from the stage-wise full-process analysis of construction with and without considering the creep and the results from the conventional analysis of the whole building under the total load from all self-weight and construction applied to the structure "in one go" shows that the cumulative effect on the deformation from the construction process and the creep effect need to be considered in analyzing the deformation of Shanghai World Financial Center, and the super-high rise buildings suchlike. Finally, the simulation results correlate well with the monitoring results-a proof of the feasibility and the validity of this paper.

金融开放对企业资本结构动态调整的影响研究

以2006~2020年中国沪深A股上市企业为样本,探讨金融开放对企业资本结构动态调整的影响及机制。研究发现,金融开放提升了企业资本结构调整速度,并且这一关系在非国有产权、资产规模小、金融欠发达区域以及出口导向等融资敏感型企业样本中更为显著。机制检验表明,金融开放显著缓解了企业融资约束,进而提升资本结构调整速度。拓展分析发现,当资本结构向下偏离目标值时,金融开放提高了企业通过增加负债、减少权益方式调整资本结构的概率;当资本结构向上偏离目标值时,金融开放提高了企业通过减少负债、增加权益方式调整资本结构的概率。

数字普惠金融对能源环境效率的影响机制与空间效应

在“双碳”约束日益紧迫和经济下行压力加大的现实背景下,数字普惠金融成为城市经济绿色低碳高质量发展的新动能和可持续增长极。使用非径向方向距离函数测算中国2011-2020年273个地级市能源环境效率,实证检验数字普惠金融对能源环境效率的空间效应及其影响机制。研究发现:(1)能源环境效率呈现出正向空间依赖特征,本地区能源环境效率的提高可以对空间关联地区的能源环境效率产生积极影响。(2)数字普惠金融提高了本地区的能源环境效率,且对周边地区的能源环境效率具有显著正向的空间溢出效应。(3)数字普惠金融主要通过推动节能降耗、促进绿色技术创新和优化产业结构三条途径提高能源环境效率,并且数字普惠金融能通过这三条途径同时提高本地区和周边地区的能源环境效率。(4)数字普惠金融对能源环境效率的正向空间溢出效应在使用深度和数字化程度维度、500km范围内、大型城市、非老工业基地和东部城市更加明显。研究结论为中国能源绿色低碳转型的金融服务优化路径提供了科学决策依据。

2023年中国炼油工业发展状况及展望

2023年,中国炼油能力增长继续放缓,新增炼油能力1200万吨/年,总能力升至9.36亿吨/年,装置结构优化调整持续推进。2023年我国成品油需求快速反弹、市场整顿持续推进等利好因素推动炼油行业生产明显好转,多项主要生产经营指标显著回升。国家政策为我国炼油行业高质量发展指明了路径,炼油企业持续推进绿色、低碳、数字化、智能化发展,并积极“走出去、引进来”,扩大合作。展望未来,2024年中国炼油能力将继续较快增长,但能力峰值基本显现,预计炼油能力峰值将在2027年左右出现;“十五五”期间,我国炼油能力过剩的压力有一定缓解,但不能掉以轻心,淘汰落后产能、调整产品结构、节能降碳等转型升级措施需长期推进。

科技金融政策、产业结构升级与共同富裕

以科技和金融结合试点政策(简称“科技金融政策”)为准自然实验,选取2006—2022年中国270个地级及以上城市面板数据,借助双重差分模型,量化评估了科技金融政策赋能共同富裕的净效应。研究结果表明:科技金融政策显著促进了共同富裕,该结论在经过安慰剂检验、倾向得分匹配等系列稳健性检验后依旧成立;科技金融政策通过推动产业结构升级促进共同富裕;科技金融政策对共同富裕的影响具有正向空间溢出效应。研究结论有助于深入理解科技金融政策的经济效应,可为推动新时代共同富裕提供有益理论支撑和丰富经验证据。

金融结构优化、财政分权与共同富裕

立足金融结构优化背景,借助我国省级面板数据考察金融结构优化对共同富裕的影响。研究发现:金融结构优化能够赋能共同富裕,且经过内生性与一系列稳健性检验后,该结论依然成立;门槛回归结果表明,财政分权可正向调节金融结构优化对共同富裕的影响。进一步研究得出,金融结构优化对共同富裕影响呈“边际效应递增”的非线性特征;金融结构优化积极效应在不同区域和不同金融发展水平地区存在显著差异。

活动断裂带大调整量无砟轨道设计与试验研究

研究目的:为满足跨活动断裂带线路铺设无砟轨道需求,提升该地区无砟轨道的线路平顺性与舒适性,提出一种大调整量活动承轨台式无砟轨道。采用ANSYS有限元软件建立整体和轨枕局部有限元模型,分析活动承轨台式无砟轨道的受力特性,在此基础上进行大调整量无砟轨道结构参数优化研究以及疲劳试验研究,分析结构刚度、位移和应变变化情况。研究结论:(1)活动承轨台式无砟轨道在列车荷载与温度荷载叠加作用下,最大拉应力出现在轨枕位置,为3.47 MPa,各部件应力均满足强度要求且在轨枕尺寸和材料优化后进一步降低;(2)疲劳试验中随着疲劳加载次数增加,结构横、纵向刚度在疲劳前后变化分别为3.4%和24.2%,结构应变小幅增加,未见塑性变形与明显损伤;(3)仿真与试验结果可为活动断裂带地区无砟轨道设计提供参考和借鉴。

金融科技如何促进企业资本结构优化

在新兴信息技术蓬勃发展的数字经济时代,探讨如何借助金融科技提升金融部门资本配置效率,优化企业资本结构,提高经济抗风险能力与经济韧性,是我国后疫情经济恢复时期的重要议题。本文以动态权衡理论为基础,基于地区金融科技公司数量构建金融科技发展程度指标,利用我国2010—2020年沪深A股非金融上市企业数据,探究金融科技对企业资本结构动态调整的影响。研究发现,金融科技能够显著加快企业的资本结构调整进程。机制分析表明,金融科技是通过降低企业在金融市场上面临的金融摩擦而推动其进行资本结构优化。进一步的研究表明,金融科技对非国有企业和在利率市场化程度较高环境中经营企业的资本结构动态调整的正向影响效应更大。本研究对进一步发展金融科技和深化金融供给侧结构性改革,借助金融科技等新型金融模式促进企业资本结构优化,推动我国经济高质量发展,具有一定的理论意义和实践价值。

混合面板反射面天线促动器布局与结构优化设计

文中针对大型主动主反射面天线在满足工程精度要求时存在形面精度冗余和成本高昂的问题,提出一种主动面板和非主动面板混合安装的反射面天线设计思想。首先,基于反射面变形区间安装主动面板和非主动面板,分析混合面板反射面天线的形面调控策略;然后,分别以天线质量为约束、以天线形面精度为目标以及以天线形面精度为约束、以天线质量为目标进行天线结构优化设计。结果,某35m反射面天线在满足精度要求的情况下背架结构质量下降了20.4%,在满足背架结构质量要求的情况下形面精度提升了18.7%。这充分证明了该设计思想在大口径、高精度反射面天线设计中的可行性和有效性。

数字经济、最优金融结构与全球价值链地位

采用ADB-MRIO数据库中60个国家2007—2021年的面板数据,对数字经济发展影响产业链升级并推动一国全球价值链地位攀升以及不同金融结构下数字经济对一国全球价值链地位攀升的促进作用进行实证检验。结果表明,数字经济发展对一国全球价值链地位的攀升具有正向促进作用,而提高研发创新能力和降低贸易成本是其重要影响渠道。进一步考察金融结构在数字经济发展驱动全球价值链地位升级过程中发挥的效应,发现市场型主导的金融结构更加适配数字经济对一国全球价值链地位攀升的促进发展。

基于卷积神经网络的滚动轴承故障诊断研究综述

随着机器学习技术的兴起,深度学习被用于故障诊断领域并得到迅速发展,其中,卷积神经网络是具有出色特征提取能力的深度学习模型,因其适用于处理图像数据和高维数据而成为故障诊断研究的热点。针对传统故障诊断方法难以解决轴承振动信号存在的特征提取困难和信号噪声污染的问题,为高效、准确地完成滚动轴承故障诊断工作,首先,对卷积神经网络的结构进行了简单介绍,并研究了近年来经典卷积神经网络模型用于滚动轴承故障诊断的重要进展;然后,从深度特征提取、超参数调整和网络结构优化等角度,对各种优化卷积神经网络的方法原理进行了简单介绍,详细探讨了将卷积神经网络应用于滚动轴承故障诊断的优化途径和已经取得的研究进展;最后,对几种典型优化方法的优势与不足进行了比较,并对不同角度优化卷积神经网络的途径进行了总结。研究结果表明:基于卷积神经网络的滚动轴承故障诊断方法还需要解决数据不平衡、模型特征提取能力不足和泛化性不强的问题,后续研究工作应聚焦于多源数据融合、模型性能优化以及多方技术结合等方向。

Financial Structure,Technology,and Economic Growth:A Structural Matching Perspective

Different types of capital are better suited to financing technologies with different risk profiles,and structural matching between finance and technology may critically influence economic growth.Using cross-province panel data from China,we estimated the impact of the matching relationship between regions'financial structure and technology level on economic growth.We show that:(ⅰ)the matching relationship had a statistically significant positive impact on economic growth;(ⅱ)structural mismatching reduced economic growth in comparison with the optimal matching point;(ⅲ)structural matching better facilitated economic growth in more developed regions;and(ⅳ)capital accumulation and technological progress were two of the main channels through which matching influenced economic growth.We address potential endogeneity concerns and perform robustness checks,and our results remain valid.Our findings provide convincing evidence for the optimalfinancial structure theory and explain China's rapid growth despite its comparatively underdeveloped securities market.

耕地保护背景下土地用途结构调整优化探索——以四川省盐源县为例

耕地保护是确保粮食安全的根基,是关系国家安全的根本性问题。近年来,国家高度重视耕地保护工作,坚决遏制耕地非农化,防止耕地非粮化。结合土地用途结构调整优化的研究进展,分析盐源县土地用途结构调整优化过程的关键问题,提出土地用途结构调整优化的建议,可为盐源县土地用途结构调整优化提供参考,实现耕地保护的目的。