Unleashing the Power of Multi-Agent Reinforcement Learning for Algorithmic Trading in the Digital Financial Frontier and Enterprise Information Systems

In the rapidly evolving landscape of today’s digital economy,Financial Technology(Fintech)emerges as a trans-formative force,propelled by the dynamic synergy between Artificial Intelligence(AI)and Algorithmic Trading.Our in-depth investigation delves into the intricacies of merging Multi-Agent Reinforcement Learning(MARL)and Explainable AI(XAI)within Fintech,aiming to refine Algorithmic Trading strategies.Through meticulous examination,we uncover the nuanced interactions of AI-driven agents as they collaborate and compete within the financial realm,employing sophisticated deep learning techniques to enhance the clarity and adaptability of trading decisions.These AI-infused Fintech platforms harness collective intelligence to unearth trends,mitigate risks,and provide tailored financial guidance,fostering benefits for individuals and enterprises navigating the digital landscape.Our research holds the potential to revolutionize finance,opening doors to fresh avenues for investment and asset management in the digital age.Additionally,our statistical evaluation yields encouraging results,with metrics such as Accuracy=0.85,Precision=0.88,and F1 Score=0.86,reaffirming the efficacy of our approach within Fintech and emphasizing its reliability and innovative prowess.

Multi-Objective Optimization Algorithm for Grouping Decision Variables Based on Extreme Point Pareto Frontier

The existing algorithms for solving multi-objective optimization problems fall into three main categories:Decomposition-based,dominance-based,and indicator-based.Traditional multi-objective optimization problemsmainly focus on objectives,treating decision variables as a total variable to solve the problem without consideringthe critical role of decision variables in objective optimization.As seen,a variety of decision variable groupingalgorithms have been proposed.However,these algorithms are relatively broad for the changes of most decisionvariables in the evolution process and are time-consuming in the process of finding the Pareto frontier.To solvethese problems,a multi-objective optimization algorithm for grouping decision variables based on extreme pointPareto frontier(MOEA-DV/EPF)is proposed.This algorithm adopts a preprocessing rule to solve the Paretooptimal solution set of extreme points generated by simultaneous evolution in various target directions,obtainsthe basic Pareto front surface to determine the convergence effect,and analyzes the convergence and distributioneffects of decision variables.In the later stages of algorithm optimization,different mutation strategies are adoptedaccording to the nature of the decision variables to speed up the rate of evolution to obtain excellent individuals,thusenhancing the performance of the algorithm.Evaluation validation of the test functions shows that this algorithmcan solve the multi-objective optimization problem more efficiently.

Exploring the frontiers of life research

Introduction Life research serves as the vanguard of scientific exploration,where the intricate symphony of living organisms unfolds,unraveling the mysteries of existence.Encompassing biology,genetics,ecology,and beyond,it weaves a narrative delving into life’s essence,propelling us toward a profound comprehension of our world.In the relentless pursuit of knowledge,life researchers decode fundamental processes,from unraveling DNA’s secrets to probing the delicate balances of ecosystems.The hallmark of contemporary life research lies in its interdisciplinary character,fostering collaboration among biologists,chemists,physicists,and computational scientists.This collaborative synergy embraces a holistic approach,enabling researchers to address intricate biological questions,spur innovation,and redefine the limits of what was once deemed possible.

Progress and Frontier of Landscape Culture Research

Landscape culture is a new science and a comprehensive creation based on excellent tradition of cultural landscape.The paper has illustrated the generation and development of landscape culture,and introduced the current situation and progress of foreign researches on landscape culture according to the time order and research focuses.In terms of domestic research of landscape culture,it has been analyzed from the perspective of the study of theoretical connotation,landscape ecology,types of landscape culture and crossover study of itself.It considers that there exist some problems in domestic research on landscape culture,which are separation between traditional cultural landscape and modern landscape culture,separation in research methods,the influence of traditional culture on landscape,unbalanced development of regional landscape culture,separation of regional landscape network,and the insufficiency of protection and development.

Syngo.via Frontier工作站在极外侧入路手术治疗腰椎结核中的应用效果

目的探讨Syngo. via Frontier工作站在极外侧入路手术治疗腰椎结核中的应用效果。方法将48例行极外侧入路手术治疗的腰椎结核患者,随机分为研究组和对照组,每组24例。对照组在计算机导航下手术,研究组在对照组基础上增加Syngo. via Frontier工作站辅助。比较两组患者医患沟通满意度、术中出血量、手术时间、相关并发症发生情况、术后6个月美国脊柱损伤协会(ASIA)分级及术后12个月治愈率。结果研究组医患沟通满意度及术后12个月治愈率均高于对照组,而术中出血量、手术时间均少于对照组(均P <0. 05)。两组术后均有患者出现大腿前方麻木(研究组2例,对照组3例),出现屈髋无力各1例,经营养神经治疗后治愈。随访期间两组患者均未见钛网移位、塌陷,内固定无松动、断裂。两组术后6个月ASIA分级均优于术前(均P <0. 05),但两组间差异无统计学意义(P> 0. 05)。结论 Syngo. via Frontier工作站用于极外侧入路手术治疗腰椎结核的疗效确切,可提高医患沟通满意度,减少术中出血量并缩短手术时间。

Decoding complexity: the need to enhance precision and streamline spatial understanding in neuroscience

Neuroscience is the ultimate frontier in our quest for a comprehensive understanding of human behavior. Since its launch in 2009, the Human Connectome Project has emerged as a pioneering force, making heroic strides in elucidating the intricate correlation between structural information and the functioning of the human brain.

Technical Efficiency Analysis of Electric Power Industry with Stochastic Frontier Model

A kind of algorithm was provided to resolve the calculating problem of stochastic frontier model and applied to electric power industry.By Matlab,maximum likelihood estimation is adopted to evaluate σ and λ of stochastic frontier model in this paper, then the technical efficiency of electric power companies is calculated. The calculated and analyzed results reflect the situation of the management of electric power industry on the whole,that is ,the electric power companies with high technical efficiency are those which have developed their modern enterprise system successfully.

The quantified analysis of China's GM cotton yield capacity by C-D function and stochastic frontier model

Using a modified C D function and stochastic frontier model, the paper analyzed China's cotton yield capacity and found that the yield and technical efficiency of China's cotton planting system can be increased by the use of genetically modified (GM) varieties.

基于ABAQUS及modeFRONTIER的多目标优化方法

在涉及有限元分析的多目标优化设计中,为满足多目标优化算法的数据需求,需要反复进行有限元分析计算,存在设计工作繁琐,效率低的问题,为解决这一问题,提出了一种将有限元分析方法和多目标优化方法进行集成的设计方法。该方法基于ABAQUS软件二次开发实现有限元分析,基于mode FRONTIER软件实现多目标优化和优化数据的后处理工作,将两者集成在同一个优化工作流中来完成多目标优化设计。采用该方法对支架结构进行多目标优化设计,结果表明该方法不但可行,而且可以大大简化优化设计工作步骤,实现了优化设计的自动化,提高了优化设计工作效率。该方法可实现涉及有限元分析的多目标优化设计的自动化,为从事多目标优化设计工作者提供极大便利。

An Analysis on the Frontier Detection of English Teaching Methodology

English teaching methodology is the guidance in the process of English teaching. Based on the analysis of multi-source data, quantitative research and visualized analysis, we are aimed to analyze the frontier of English teaching methodology and try to explore the advanced English teaching methodology, improve the English teaching and provide the scientific data and appropriate methods for the local English teaching.

Full ranking procedure based on best and worst frontiers

In the traditional data envelopment analysis （DEA） structure, the efficiency score for one decision making unit （DMU） is calculated by measuring the distance of the evaluated DMU to the best practice frontier. Recent researches have provided the reasonability of considering the worst practice frontier as a supple- ment to the traditional DEA techniques. The existing researches take only one type of frontier into account, and they cannot com- pare the evaluated DMU with both the best and the worst perform- ing DMUs. A DEA-based procedure is developed to consider the best and the worst frontiers in the same scenario where the ratio of two distances （RDS） measure is proposed. The principal appli- cation of this approach is for ranking, and, as a complement tool, for performance evaluation. The proposed approach can be used in a wide range of applications such as the performance evaluation of employees and others. Finally, a bookstore data set is used to illustrate the proposed approach.

学术期刊出版学术专辑策略探析——以Frontiers in Energy为例

学术期刊可以通过出版学术专辑有效提升期刊学术影响力和传播力。文章阐述了出版学术专辑的意义和目的,并以Frontiers in Energy为例,从主题选取、客座编辑选择、出版计划制订和宣传推广四个方面对策划、编辑、出版学术专辑的策略进行了探讨,以期为我国学术期刊的发展提供借鉴。

Technical efficiency of hybrid maize growers: A stochastic frontier model approach

This study investigated the effect of credit constraints and credit unconstraints on the technical efficiency of hybrid maize growers in the Khyber Pakhtunkhwa Province(KPK) of Pakistan. The primary data were collected by a direct elicitation method from 510 maize growers of KPK Province. Stochastic frontier model techniques were used for technical efficiency analyses. The results revealed that the mean technical efficiency difference between the two groups was 10.2%. The results of technical inefficiency effect modeling demonstrated that education of the household head, family size, number of married family members, off-farm income, farming experience, tractor drill, water irrigation through a lined course, certified seed, extension services, household saving variables, and a credit size variable had positive effects on technical efficiency for both credit constrained farmers(CCFs) and credit unconstrained farmers(UCCFs). In addition, age of household head and fragmented land values had negative effects on technical efficiency for both groups. However, the interest rate had positive and negative impacts on the technical efficiency of CCFs and UCCFs, respectively. Our results have significant implications for policies related to land use, interest rate, and banking sector expansion in the rural areas of Pakistan.

Technical and environmental efficiency of hog production in China—A stochastic frontier production function analysis

This article analyses the technical and environmental efficiency of hog production in China using data from the China Agricultural Product Cost-Benefit Compilation（NDRC 2005–2013） and the First National Census of Pollution： Manual of Discharge Coefficient of Livestock and Poultry Industry（IEDA and NIES 2009）. The empirical results show a great variation in environmental efficiency, ranging from 0.344 to 0.973 with a mean value of 0.672 that declines over time. Southwest China is found to be the most environmentally efficient region, while the Northeast and the Northwest are the least efficient. Another finding is that technical and environmental efficiencies are highly correlated in hog production; the most environmentally efficient regions are usually found to have high technical efficiency, and vice versa. In addition, we computed the output elasticities with respect to each factor input. The results show that feed is the most efficient input, with an output elasticity of approximately 0.551, which is much higher than the elasticity of the nitrogen surplus, other capital or labour. The output elasticity with respect to the nitrogen surplus is 0.287 on average. Finally, the scale elasticity in hog production is slightly higher than 1.

Mechanobiology:A new frontier for human pluripotent stem cells

Our understanding of the molecular and cellular mechanisms that control self-renewal,pluripotency and differentiation of human pluripotent stem cells(hPSCs)and our progress toward harnessing the regenerative potential of these cells to treat human diseases are advancing at a rapid rate.Human pluripotent stem cells(hPSCs)include human embryonic stem cells(hESCs)and human induced pluripotent stem cells(hiPSCs).Their unique capacity for indefinite self-renewal(unlimited proliferation)in vitro coupled with their ability to differentiate into almost any cell type present in the adult body(pluripotency)provide a potentially

Regional Economic Efficiency and Its Influencing Factors of Beijing-Tianjin-Hebei Metropolitans in China Based on a Heterogeneity Stochastic Frontier Model

Using a heterogeneity stochastic frontier model(HSFM),we empirically investigated the economic efficiency of Beijing-Tianjin-Hebei from 2003 to 2016 and its influencing factors.The key findings of the paper lie in:1)in Beijing-Tianjin-Hebei,the overall economic and technological efficiency tended to increase in a wavelike manner,economic growth slowed down,and there was an obvious imbalance in economic efficiency between the different districts,counties and cities;2)the heterogeneity stochastic frontier production functions(SFPFs)of Beijing,Tianjin and Hebei were different from each other,and investment was still an important impetus of economic growth in Beijing-Tianjin-Hebei;3)economic efficiency was positively correlated with economic agglomeration,human capital,industrial structure,infrastructure,the informatization level,and institutional factors,but negatively correlated with the government role and economic opening.The following policy suggestions are offered:1)to improve regional economic efficiency and reduce the economic gap in Beijing-Tianjin-Hebei,governments must reduce their intervention in economic activities,stimulate the potentials of labor and capital,optimize the structure of human resources,and foster new demographic incentives;2)governments must guide economic factors that are reasonable throughout Beijing-Tianjin-Hebei and strengthen infrastructure construction in underdeveloped regions,thus attaining sustainable economic development;3)governments must plan overall economic growth factors of Beijing-Tianjin-Hebei and promote reasonable economic factors(e.g.,labor,resources,and innovations)across different regions,thus attaining complementary advantages between Beijing,Tianjin,and Hebei.

The Estimation Methods for Agricultural Surplus Labor Based on Stochastic Frontier Production Function

The existing calculation methods for the number of agricultural surplus labor have a common flaw,that is,they can not reflect the impact of technical efficiency changes in agricultural production on the surplus labor. Based on the basic principle of stochastic frontier production function,this paper calculates the agricultural production technical efficiency of various provinces,and selects the province with the highest technical efficiency to assume that its agricultural labor is fully utilized,and there is no agricultural surplus labor. With the ratio of agricultural labor number to agricultural output value in this province as a reference,this paper calculates the number of agricultural surplus labor in other provinces. This calculation method makes up for the shortcomings of the existing calculation methods; it reflects the relationship between the number of agricultural surplus labor and production technical efficiency.

Geoscience Frontiers Best Paper Award

GEOSCIENCE FRONTIERS （GSF） has instituted an Award （GSF Best Paper Award） to the author（s） of the paper judged to be the best published each year from 2012 onwards. The objective of this recognition is to encourage high quality studies on the frontier fields of Earth Sciences. Only articles that contain original research data and/or models are eligible for the Award, and can include arti- cles published under the categories of ＂FOCUS＂ and ＂RESEARCH PAPERS＂. The Award Committee comprising of members nomi- nated from the Editorial Board/Council of GEOSCIENCE FRONTIERS, shall be responsible for assessing the papers published during each year, and for selecting the winning paper.

Frontiers in early Earth history and primordial life--PartⅠ

The history of the early Earth is shrouded in mystery, and one of the major outcomes of the Apollo Program, lunar sampling, and the data acquired by subsequent orbiting missions, is that the Moon is an important analogue for the Hadean Earth, which includes primordial planet-forming materials. We assemble two special issues of ＂Geoscience Frontiers＂ with state-of-the-art contributions that provide insights into planetary formation, Earth＇s early history and primordial life. New theories show why the Earth began as a dry planetary system and was later seeded by an ocean-atmosphere system through the bombardment of carbonaceous chondrites. A combination of the information concerning the evolution of Earth, Mars, and the other terrestrial planets is important in understanding the fate of the primordial continental crustal materials and the making of habitable planets.

The Impact of Liberalization on the Production of Electricity in Japan: Stochastic Frontier Analysis

This study aims to measure the impact of liberalization on the efficiency of electricity production in Japan using Stochastic Frontier Analysis (SFA). In addition, this study also aims to examine whether or not economies of scale exist in the electricity generation sector and the transmission sector, and whether or not economies of scope exist between electricity generation and transmission. Since 1995, liberalization of the electricity market in Japan has been phased in and regulations on entry have been relaxed three times. One motivation for these regularity changes has been to improve the efficiency of electricity production by introducing competition. Using a panel data set on the nine main power companies in Japan over the period 1970-2010, estimates of fixed-effects and stochastic frontier models of the cost function are obtained and compared. Estimates of the cost function show that liberalization has improved cost efficiency when both frontier models and non-frontier models are estimated. Estimates of the fixed-effects model are used to calculate economies of scale and economies scope because the data support the fixed-effects model. Economies of scope are found to exist for all nine power companies, while overall economies of scope declined in the 1970s and have improved little by little since the 1980s.