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...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.展开更多
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...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.展开更多
In the history, the main roles of inland rivers in Beilun Port City of Ningbo were desalination,blocking tides, shipping, and flood control. Nowadays, with the continuous spread and deepening ofurbanization, the ecolo...In the history, the main roles of inland rivers in Beilun Port City of Ningbo were desalination,blocking tides, shipping, and flood control. Nowadays, with the continuous spread and deepening ofurbanization, the ecological environment of river courses has been destroyed. In the past, remediationmeasures based on engineering and technology played a certain role, but can not “cure the root cause”. Itshould respect the historical evolution process of river courses, and highlight the ecological service functionand leisure tourism value of river courses from the coordination perspective of urban and rural ecologicalenvironment, economic industries, society and culture in the planning ideas of ecology, production, andlife integration. Four aspects of the measures are as below: protecting and repairing the ecological matrixof river courses;building green space system and maintaining flood control functions through the waternetwork;protecting cultural heritage along the rivers;developing waterfront leisure tourism scenic area.展开更多
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 beyo...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.展开更多
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 curre...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.展开更多
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 Fron...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。展开更多
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 i...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.展开更多
背景:干细胞具有促进神经再生、修复受损神经、抑制炎症反应和神经细胞凋亡的作用,为阿尔茨海默病治疗提供了一种全新的途径。目的:对2004-2023年国际发表的干细胞治疗阿尔茨海默病的文献进行文献计量学分析,揭示干细胞治疗阿尔茨海默...背景:干细胞具有促进神经再生、修复受损神经、抑制炎症反应和神经细胞凋亡的作用,为阿尔茨海默病治疗提供了一种全新的途径。目的:对2004-2023年国际发表的干细胞治疗阿尔茨海默病的文献进行文献计量学分析,揭示干细胞治疗阿尔茨海默病的研究热点和趋势。方法:以Web of Science核心合集数据库为来源,利用Excel、VOSviewer、Citespace软件对2004-01-01/2023-10-31发表的与干细胞和阿尔茨海默病相关的文献进行年发文量、国家、机构、期刊/共被引期刊、作者和关键词等的可视化分析。结果与结论:共纳入核心文献3521篇,年发文量逐年攀升;美国是发文最多的国家,哈佛医学院是最高产的机构,Maiese kenneth是发文量最多的作者,《International Journal of Molecular Sciences》在该领域发文量最多,《PLoS One》发表的文献被引次数最多;目前干细胞治疗阿尔茨海默病领域以病理生理机制和动物实验研究为侧重点,“神经发生”“氧化应激”“细胞外囊泡”“间充质干细胞”是该领域研究的趋势热点。干细胞治疗阿尔茨海默病具有广阔的前景,未来应加强机构和作者间的交流合作,深入探索干细胞治疗阿尔茨海默病的主要机制,解决临床可能遇到的免疫排斥、有效性及安全性等问题,进一步挖掘干细胞在阿尔茨海默病治疗中的潜力。展开更多
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 stoch...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.展开更多
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 increas...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.展开更多
基金This project was funded by Deanship of Scientific Research(DSR)at King Abdulaziz University,Jeddah underGrant No.(IFPIP-1127-611-1443)the authors,therefore,acknowledge with thanks DSR technical and financial support.
文摘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.
基金the Liaoning Province Nature Fundation Project(2022-MS-291)the National Programme for Foreign Expert Projects(G2022006008L)+2 种基金the Basic Research Projects of Liaoning Provincial Department of Education(LJKMZ20220781,LJKMZ20220783,LJKQZ20222457)King Saud University funded this study through theResearcher Support Program Number(RSPD2023R704)King Saud University,Riyadh,Saudi Arabia.
文摘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.
文摘In the history, the main roles of inland rivers in Beilun Port City of Ningbo were desalination,blocking tides, shipping, and flood control. Nowadays, with the continuous spread and deepening ofurbanization, the ecological environment of river courses has been destroyed. In the past, remediationmeasures based on engineering and technology played a certain role, but can not “cure the root cause”. Itshould respect the historical evolution process of river courses, and highlight the ecological service functionand leisure tourism value of river courses from the coordination perspective of urban and rural ecologicalenvironment, economic industries, society and culture in the planning ideas of ecology, production, andlife integration. Four aspects of the measures are as below: protecting and repairing the ecological matrixof river courses;building green space system and maintaining flood control functions through the waternetwork;protecting cultural heritage along the rivers;developing waterfront leisure tourism scenic area.
文摘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.
基金Supported by Project of "11 th Five-year Plan" of Social Science of Jiangxi Province(10YJ55) Project of "11 th Five-year Plan" of Social Science of Jiangxi Province(10YJ92)~~
文摘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.
文摘目的探讨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。
文摘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.
文摘背景:干细胞具有促进神经再生、修复受损神经、抑制炎症反应和神经细胞凋亡的作用,为阿尔茨海默病治疗提供了一种全新的途径。目的:对2004-2023年国际发表的干细胞治疗阿尔茨海默病的文献进行文献计量学分析,揭示干细胞治疗阿尔茨海默病的研究热点和趋势。方法:以Web of Science核心合集数据库为来源,利用Excel、VOSviewer、Citespace软件对2004-01-01/2023-10-31发表的与干细胞和阿尔茨海默病相关的文献进行年发文量、国家、机构、期刊/共被引期刊、作者和关键词等的可视化分析。结果与结论:共纳入核心文献3521篇,年发文量逐年攀升;美国是发文最多的国家,哈佛医学院是最高产的机构,Maiese kenneth是发文量最多的作者,《International Journal of Molecular Sciences》在该领域发文量最多,《PLoS One》发表的文献被引次数最多;目前干细胞治疗阿尔茨海默病领域以病理生理机制和动物实验研究为侧重点,“神经发生”“氧化应激”“细胞外囊泡”“间充质干细胞”是该领域研究的趋势热点。干细胞治疗阿尔茨海默病具有广阔的前景,未来应加强机构和作者间的交流合作,深入探索干细胞治疗阿尔茨海默病的主要机制,解决临床可能遇到的免疫排斥、有效性及安全性等问题,进一步挖掘干细胞在阿尔茨海默病治疗中的潜力。
文摘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.
文摘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.
