从美国EMPIRE软件看大型高功率脉冲电磁等离子体程序研发趋势

EMPIRE软件是美国针对下一代高性能计算平台开发的电磁等离子体模拟软件,可用于高置信度地开展高功率脉冲产生、传输以及与物质互作用的全过程模拟。解读EMPIRE软件的研制进展对发展大型高功率脉冲电磁等离子体软件具有重要借鉴意义。首先分析了EMPIRE软件的架构及数学物理方案,然后着重讨论了其性能可移植性的软件特征和各子模块的算法特点,最后结合具体的应用案例展示了EMPIRE的强大计算能力。解读EMPIRE的启示包括如下几点:使用异构架构是实现未来E级(百亿亿次级)计算能力部署的关键点;研制灵活的功能模块,开展分层级的建模计算,最后拉通整个物理过程链条模拟,能够有效发挥装置指标的数值评估作用;多团队协作共同开发是丰富软件功能的基础;软件的置信度需要全方位的验证与确认。

政府科技资助能够提高企业的R&D投入吗?——读Empirical Development Economics

科技创新是一个国家提高生产力和综合国力的重要支撑。中国在创新型国家建设的道路上,如何不断提高企业R&D投入是一个极为重要的问题。是否能够利用政府科技资助提高企业R&D投入?关于这个问题的解答,对于今后中国调整安排政府科技资助的方向、结构、模式都具有重要的意义。学术界广泛利用各种层面的数据(截面数据、时序数据、面板数据)进行研究,获得了丰富的成果。但是目前还没有得到一致的研究结论。随着可资利用的中国宏观高频数据和企业微观数据的日益增多,进一步从时频的角度分析政府科技资助对企业R&D投入的影响是一个具有潜力的研究方向。另外学术界还应该广泛利用微观计量分析工具对政府科技资助与企业R&D投入的因果影响特征进行稳健、有效的检验。

Beyond Equations:The Challenge of Mathematical Rigor in Economics

The mathematical approach is threatening the progress of economics,as it tends to disregard the complexity of economic behaviour and the unpredictability of human actions.——Friedrich Hayek The reliance on mathematical models in economics has long been debated,with critics arguing that this approach fails to capture the complexity of human behavior and the unpredictability of economic systems.While mathematics provides a structured method for analyzing economic processes,it often simplifies decision-making to a one-dimensional utility function,neglecting social,psychological,and political influences.This paper examines the limitations of classical and neoclassical economic theories that heavily depend on mathematical rigor,highlighting the pitfalls of models like the Rational Agent Model,General Equilibrium Theory,and Expected Utility Theory.Drawing on examples such as the 2008 financial crisis and the Terra/Luna cryptocurrency collapse,the paper demonstrates how over-reliance on equations has led to inaccurate predictions and ineffective policy decisions.It calls for a more interdisciplinary approach that integrates insights from psychology and sociology to address the gaps left by traditional mathematical economics.

Critical Analysis of Increasingly Mathematical Economics in the Modern Society

This paper critically examines the escalating trend of mathematization in economics,highlighting its implications and controversies in contemporary economic research.While the application of sophisticated mathematical models and statistical techniques has enhanced the precision,rigor,and status of economics within academia and practical application,concerns arise regarding the potential oversimplification and detachment from real-world complexities.The adoption of mathematical tools has arguably led to a focus on theoretically tractable problems at the expense of those more relevant to practical economic and social issues.This paper explores both the benefits and limitations of this trend,discussing how the reliance on quantitative methods affects the innovation,comprehensibility,and application of economic theories.We argue for a balanced approach that fosters innovation by integrating qualitative insights and embracing interdisciplinary methods to ensure economics remains both rigorous and relevant to societal needs.

Does green finance drive high-quality economic development?-Based on empirical evidence from China

Green finance,as an important branch of modern finance,has far-reaching significance that is not limited to the financial sector.By promoting green investment and optimizing resource allocation,green finance plays a crucial role in reducing environmental pollution and carbon emissions.At the same time,it can also promote the quality of economic growth and achieve the harmonious development of economy,society and environment.Based on China's provincial panel data from 2008 to 2022,the direct impact and indirect transmission mechanism of green finance on high-quality economic development are analyzed by constructing a dynamic panel model and a mediation effect model.It is found that green finance not only directly promotes the high-quality development of the economy,but also indirectly promotes the sustainable and healthy growth of the economy through the transmission channel of technological innovation.This mediating effect of technological innovation is as high as 78.65%,which shows the close connection between green finance and high-quality economic development.In addition,the study also found that the direct promotion effect of green finance on high-quality economic development has significant regional heterogeneity.The results of this study suggest that when formulating relevant policies,it is necessary to fully consider the actual situation of each region and tailor them to the local conditions to ensure the in-depth promotion of green finance and the overall development of the economy.

The Intersection of Privacy by Design and Behavioral Economics: Nudging Users towards Privacy-Friendly Choices

This paper conducts a comprehensive review of existing research on Privacy by Design (PbD) and behavioral economics, explores the intersection of Privacy by Design (PbD) and behavioral economics, and how designers can leverage “nudges” to encourage users towards privacy-friendly choices. We analyze the limitations of rational choice in the context of privacy decision-making and identify key opportunities for integrating behavioral economics into PbD. We propose a user-centered design framework for integrating behavioral economics into PbD, which includes strategies for simplifying complex choices, making privacy visible, providing feedback and control, and testing and iterating. Our analysis highlights the need for a more nuanced understanding of user behavior and decision-making in the context of privacy, and demonstrates the potential of behavioral economics to inform the design of more effective PbD solutions.

Research on the Optimization Paths for Outstanding Agricultural Economics and Management Talents under the Background of Curriculum Ideology and Politics

The article aims to discuss how to cultivate outstanding agricultural economics and management talents to meet the needs of agricultural and rural economic development in the new era,within the context of ideological and political education.Through literature review and field research,a series of innovative talent training optimization paths are proposed,and specific suggestions are made for policymakers and educational practitioners.

Simulation Modelling and Techno-Economics of Supercritical Carbon Dioxide Recompression Closed Brayton Cycle

In recent years, there has been global interest in meeting targets relating to energy affordability and security while taking into account greenhouse gas emissions. This has heightened major interest in potential investigations into the use of supercritical carbon dioxide (sCO2) power cycles. Climate change mitigation is the ultimate driver for this increased interest;other relevant issues include the potential for high cycle efficiency and a circular economy. In this study, a 25 MWe recompression closed Brayton cycle (RCBC) has been assessed, and sCO2 has been proposed as the working fluid for the power plant. The methodology used in this research work comprises thermodynamic and techno-economic analysis for the prospective commercialization of this sCO2 power cycle. An evaluated estimation of capital expenditure, operational expenditure, and cost of electricity has been considered in this study. The ASPEN Plus simulation results have been compared with theoretical and mathematical calculations to assess the performance of the compressors, turbine, and heat exchangers. The results thus reveal that the cycle efficiency for this prospective sCO2 recompression closed Brayton cycle increases (39% - 53.6%) as the temperature progressively increases from 550˚C to 900˚C. Data from the Aspen simulation model was used to aid the cost function calculations to estimate the total capital investment cost of the plant. Also, the techno-economic results have shown less cost for purchasing equipment due to fewer components being required for the cycle configuration as compared to the conventional steam power plant.

EMPIRE计算30MeV以下^(238)U中子核反应数据

为进一步完善核数据评价手段,本文将EMPIRE应用到中子引起锕系核素的核反应模型分析中,根据中子核反应机制的特点,选取恰当的核反应模型及模型参数,以实验数据为基础对模型参数进行调整,由EMPIRE计算获得30 MeV以下能区n+238 U的核反应数据。从计算结果与实验数据以及各评价库数据对比来看,EMPIRE可得到较合理的结果。

Economics of Language behind Catchwords

The integration of linguistics and economics, economics of language, is a new peripheral subject based on theory of west ern human capital and educational economics. Catchwords which reflect many theories of economics of language enter into people's scope of research. Study of catchword is of great significance for the enrichment of research of human language.

浅析《Public Economics》双语教学中的主要问题及对策

《Public Economics》作为研究公共部门经济的科学,是经济类学生,尤其是财政学专业学生所必修的一门双语课程。自2002年开始教授这门课程以来,在近十年的教学实践中,笔者发现有一些共性问题一直存在,在很大程度上成为了困扰、甚至妨碍该门双语教学课程课堂教学质量和总体效果的主要因素。本文在对这些问题进行阐释的基础上,提出若干应对之策,希与各位同仁交流和商榷。

Economy、Economics中译考——以“富国策”“理财学”“计学”“经济学”为中心的考察

尽管中国近代Economy、Economics中译名五花八门,数以十计,但最主要的有"富国策""理财学""计学""经济学"四个,而且它们之间呈现出前后递进的比较清晰的演进路线。其演进过程既受到西方"经济学"含义演变的"外因"的影响,也与当时中国移植西方经济学的"内因"相关。

“Introduction to Economics”留学生英文授课精品课程建设实践与探索

随着中国"一带一路"倡议的推进和高等教育国际化的发展,高职层次商科留学生人数迅速增加,相应的英文授课课程建设迅速涌现。本文对江苏高校留学生精品课程"Introduction to Economics"的课程定位、课程内容设置、教学资源建设、教学方法使用、考核评价方式等建设过程进行了总结,并提出了进一步强化建设效果的设想,为高职商科全英文授课课程建设提供参考。

“MB”首冠!iG击败Empire获MAS总冠军

3月22日,Major All Stars总决赛在马来西亚首度吉隆坡落下帷幕,代表中国参赛的iG收获了最终冠军。值得一提的是,这也是B神加盟iG以来收获的首个线下赛冠军!MB组合线下首秀参加本次MAS总决赛的共有8支队伍,除了iG之外,还有Na’Vi、Empire、Rave等世界一线队伍。在这些参赛队中,Na’Vi和Empire无疑是iG的最大对手。

On College English Reform from the Perspective of Language Economics

From the perspective of Language Economics,language education(including second language or foreign language education)is an economically valuable investment that has the function of promoting social development.However,there is an imbalance in the input and output of China’s college English education.From the perspective of language economics,this article focuses on the reform of College English courses in order to improve the efficiency of English teaching in common universities.

《Forest Policy and Economics》刊发中国林业经济论文追溯分析

以国际权威期刊《Forest Policy and Economics》为例,选取其2007—2017年刊发的与中国林业经济问题相关的文献,从国际视角对中国林业经济问题进行梳理与总结。基于统计分析,刊发的文献总体呈现数量波动增长、内容多样化、合作形式国际化,研究区域具体化,定量分析为主等特点。从林产品贸易、森林资源经营管理、森林转型等主题展开对中国林业经济研究的论述,以期为我国相关学者全面把握中国林业经济前沿研究进展和发展趋势提供参考与借鉴。

Human Capital Structure and Economic Growth:From the Perspective of New Structural Economics

The Chinese economy has achieved remarkable development over the past 40 years of reform and opening-up.However,with the narrowing of potential for efficiency improvement from resources reallocation and changes in population age structure,the Chinese economy has moved from high-speed growth to high-quality development.In this setting,understanding factor endowment and comparative advantages of the economy from a perspective of human capital structure so as to enhance industrial structure adaptability by riding the trend is of significance for cultivating new driving force for economic development.This paper,following a theoretical paradigm of new structural economics,demonstrates how human capital structure matches industrial structure and the presence of optimal human capital structure using mathematical deduction.On this basis,national level panel data and instrumental variables are adopted for generalized method of moments,the results of which shows that there are varied impacts on economic growth in light of different human capital structure characteristics.The proportions of high-level human capital and medium-level human capital boost economic development,while that of low-level human capital has an inhibitory effect on economic growth.The policy implication of this study is that large economies should diversify efforts as per different human capital structure characteristics in terms of development need of tapping growth impetus from human capital structure improvement.It is of equal importance to raise the proportion of high and medium human capital in order to stimulate economic growth and to cut the proportion of low human capital that hinders economic development.

Empirical Study on Effect of Industrial Structure Change on Regional Economic Growth of Beijing-Tianjin-Hebei Metropolitan Region

Based on the data of gross domestic product(GDP),industrial added value and the proportion of industrial employees from 2000 to 2008,this paper studies the effect of industrial structure change on the regional economic growth of Beijing-Tianjin-Hebei Metropolitan Region in China using the shift-share method.The results show that:1) In the 21st century,the industrial output of three industries,namely,primary,secondary,and tertiary,and the GDP grew rapidly in the study period.The tertiary industry grew the fastest;it had the largest contribution to the GDP and mean-while had become the most competitive industry in the metropolitan region.2) The development of cities within the region was not balanced.Firstly,compared with Tianjin,Beijing,as one of the two core cities,was more rational in the industrial structure.Secondly,the surrounding eight cities,which are Shijiazhuang,Qinhuangdao,Tangshan,Langfang,Baoding,Cangzhou,Zhangjiakou,and Chengde,were all uncompetitive than the two core cities.3) There was a great industrial gradient in the region(especially between the two core cities and the cities of Tangshan,Baoding,Zhangjia-kou,Chengde,Cangzhou,and Langfang).As a result,it is foreseeable that the industry transfer in the Bei-jing-Tianjin-Hebei Metropolitan Region will be one of the trends in regional development,and the industry transfer is inevitably to promote the regional integration.

Economic growth and nutrition transition: an empirical analysis comparing demand elasticities for foods in China and Russia

This study provides empirical evidence on the link between economic growth and nutrition transition in two emerging economies, China and Russia. Both countries have experienced rising average incomes, accompanied by an increasing rate of nutrition-related chronic diseases in recent years. Given the regional heterogeneity between these two countries, we analyze the extent to which income growth as a major driver of nutrition transition has a significant effect on the consumption of different food aggregates and how these effects differ between Chinese and Russian consumers. Our results indicate that with increasing household incomes over time the demand for carbohydrates decreases, while the demand for meat and dairy products, as well as fruits increases. This is a development generally known as nutrition transition. Further, we estimate a Quadratic Almost Ideal Demand System（QUAIDS） for nine different food aggregates for China and Russia. Our results indicate that in both countries all food aggregates have positive expenditure elasticities and are thus normal goods. Moreover, our results indicate that in 2008/2009 meat is still a luxury good in China yet a necessity good in Russia. For 2009, the highest own-price elasticities in China are found for non-meat protein sources and dairy products. Within the meat group, beef, poultry and mutton have the highest price elasticities in China. In Russia, the milk and dairy group, together with the vegetable group, is the most price-elastic food group in 2008. In line with the definition of a nutrition transition, our overall results underscore the finding that income growth in China and Russia tends to increase the demand for animal-based products much stronger than, for example, the demand for carbohydrates. Despite being a positive signal for problems of malnutrition in rural China, this trend of increasing meat consumption might further increase the incidence of chronic diseases in urban areas since there is convincing scientific evidence that increasing meat consumption, especially red and processed meat, is associated with an increased risk of chronic diseases.

How signaling and search costs affect information asymmetry in P2P lending:the economics of big data

In the past decade,online Peer-to-Peer(P2P)lending platforms have transformed the lending industry,which has been historically dominated by commercial banks.Information technology breakthroughs such as big data-based financial technologies(Fintech)have been identified as important disruptive driving forces for this paradigm shift.In this paper,we take an information economics perspective to investigate how big data affects the transformation of the lending industry.By identifying how signaling and search costs are reduced by big data analytics for credit risk management of P2P lending,we discuss how information asymmetry is reduced in the big data era.Rooted in the lending business,we propose a theory on the economics of big data and outline a number of research opportunities and challenging issues.