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AI Agents in Finance and Fintech: A Scientific Review of Agent-Based Systems, Applications, and Future Horizons
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作者 Maryan Rizinski Dimitar Trajanov 《Computers, Materials & Continua》 2026年第1期173-206,共34页
Artificial intelligence(AI)is reshaping financial systems and services,as intelligent AI agents increasingly form the foundation of autonomous,goal-driven systems capable of reasoning,learning,and action.This review s... Artificial intelligence(AI)is reshaping financial systems and services,as intelligent AI agents increasingly form the foundation of autonomous,goal-driven systems capable of reasoning,learning,and action.This review synthesizes recent research and developments in the application of AI agents across core financial domains.Specifically,it covers the deployment of agent-based AI in algorithmic trading,fraud detection,credit risk assessment,roboadvisory,and regulatory compliance(RegTech).The review focuses on advanced agent-based methodologies,including reinforcement learning,multi-agent systems,and autonomous decision-making frameworks,particularly those leveraging large language models(LLMs),contrasting these with traditional AI or purely statistical models.Our primary goals are to consolidate current knowledge,identify significant trends and architectural approaches,review the practical efficiency and impact of current applications,and delineate key challenges and promising future research directions.The increasing sophistication of AI agents offers unprecedented opportunities for innovation in finance,yet presents complex technical,ethical,and regulatory challenges that demand careful consideration and proactive strategies.This review aims to provide a comprehensive understanding of this rapidly evolving landscape,highlighting the role of agent-based AI in the ongoing transformation of the financial industry,and is intended to serve financial institutions,regulators,investors,analysts,researchers,and other key stakeholders in the financial ecosystem. 展开更多
关键词 Artificial intelligence AI agents agentic architectures FINANCE fintech financial services
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Application of washing agents for moderately and severely arsenic-contaminated soil:Types,mechanisms,factors and comparative analysis
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作者 Hai LIN Xiaoyin LI +1 位作者 Junfei LIU Yingbo DONG 《Pedosphere》 2026年第1期212-228,共17页
The remediation of arsenic(As)-contaminated soil is essential for achieving sustainable environmental and agricultural development.Among various techniques,soil washing has emerged as a promising method due to its rap... The remediation of arsenic(As)-contaminated soil is essential for achieving sustainable environmental and agricultural development.Among various techniques,soil washing has emerged as a promising method due to its rapid,efficient,and thorough decontamination capabilities.This review critically examines the application of soil washing technology in the treatment of As-contaminated soil.Specifically,this paper discusses the mechanisms of four types of washing agents(inorganic detergents,chelating agents,surfactants,and microbial agents),focusing on processes such as acid dissolution,electrostatic interaction,ion exchange,and chelation,and the factors affecting washing efficiency.The concentration of washing agent and the initial p H are the key factors influencing the washing effect.The paper also summarizes the application conditions and the corresponding removal rates for different individual washing agents and compares their effectiveness,biodegradability,and environmental impacts.Among these,natural chelating agents are highlighted for their promising potential in As removal.While individual washing agents show certain effectiveness,the combined use of multiple washing agents and the optimization of washing sequence are necessary to achieve superior remediation outcomes.The synergistic effects of combining natural chelating agents with reducing agents,surfactants,and inorganic washing agents,as well as the integration of nanomaterials with chelating agents and microbial agents are summarized,demonstrating their efficiency and stability in soil remediation.By reviewing the current state of research,this paper provides essential insights for the selection of washing agents and the optimization of washing parameters in the remediation of As-contaminated soil. 展开更多
关键词 chelating agents microbial agents soil remediation soil washing SURFACTANTS washing efficiency
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Study on the Differences in Crystallization Behavior of Poly(lactic acid)(PLA)Induced by Amide-based and Hydrazide-based Nucleating Agents
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作者 Jiang-Hua Lin Wen-Hao Xiao +3 位作者 Jing-Bo Wu Jia-Le Wu Rui-Jie Xu Cai-Hong Lei 《Chinese Journal of Polymer Science》 2026年第4期1173-1185,I0019,共14页
Although amide-and hydrazide-based nucleating agents have been extensively used to enhance the crystallization performance of poly(lactic acid)(PLA),structurally similar nucleating agents exhibit significant differenc... Although amide-and hydrazide-based nucleating agents have been extensively used to enhance the crystallization performance of poly(lactic acid)(PLA),structurally similar nucleating agents exhibit significant differences in their crystallization-promoting efficiency,and the underlying mechanism remains unclear.In this study,a series of nucleating agents,including N,N-diphenylterephthalamide(DPTA),N,N,N-triphenyl-1,3,5-benzenetricarboxamide(TPTA),N,N-diphenyl terephthalohydrazide(DBTA),and N,N,N-tribenzoyl-1,3,5-benzenetricarbohydrazide(TBTA),were designed and synthesized to investigate the differences in their effects on the crystallization performance of PLA.Density functional theory(DFT)and molecular dynamics(MD)simulations showed that DBTA had a smaller electrostatic potential difference(66.2 kcal/mol).During the cooling process,DBTA could stably form more intermolecular hydrogen bonds with PLA and exhibit a higher interaction energy,thus theoretically enabling more efficient promotion of PLA crystallization.Further differential scanning calorimetry(DSC)results revealed that at a 0.5wt%loading of DBTA,the crystallization peak temperature of the PLA-DBTA composite reached 118.1℃during cooling,whereas no distinct crystallization peak was observed for pure PLA under identical conditions.The crystallinity of the composite was significantly increased to 58.4%compared to 14.6%of pure PLA.Moreover,under isothermal crystallization at 130℃,DBTA reduced the half-crystallization time of PLA to 2.9min,while the half-crystallization time for pure PLA was 27.4 min.Time-resolved Fourier transform infrared spectroscopy(FTIR)results also confirmed that DBTA promoted the formation of gt conformational isomers of PLA during the crystallization process.This study elucidates the mechanism behind the performance differences between structurally similar nucleating agents in regulating PLA crystallization from the perspective of molecular electrostatic potential and hydrogen bonding interactions,providing a theoretical basis for the molecular design of efficient nucleating agents. 展开更多
关键词 Poly(lactic acid) Crystallization Nucleating agent Electrostatic potential
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Heavy metal risks and policy analysis on using industrial waste salts for making value-added snow-melting agents
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作者 Yubiao Ma Jiaxin Yin +2 位作者 Yunfei Wang Lei Wang Jianxin Zhu 《Journal of Environmental Sciences》 2026年第1期756-766,共11页
Industrial waste salts are commonly used to make value-added snow-melting agents to ensure traffic safety in northern China during winter and spring after snowfall.However,heavy metals in industrial waste salts may po... Industrial waste salts are commonly used to make value-added snow-melting agents to ensure traffic safety in northern China during winter and spring after snowfall.However,heavy metals in industrial waste salts may pose certain environmental risks.Snow-melting agents and snow samples were collected and analyzed from highways,arterial roads,footbridges,and other locations in Beijing after the snowstorm in December 2023.It was found that the main component of snow-melting agents was sodium chloride with high concentrations of Cu,Mn,and Zn,which are not regulated in the current policies,despite the recent promotion of environmentally friendly snow-melting agents.The Pb,Zn and Cr contents of some snow samples exceeded the limitation value of surface water quality standards,potentially affecting the soil and water environment near roadsides,although the snow-melting agents comply with relevant standards,which indicates the policy gap in the management of recycled industrial salts.We reviewed and analyzed the relevant standards for snow-melting agents and industrial waste salts proposed nationally and internationally over the past 30 years.Through comparative analysis,we proposed relevant policy recommendations to the existing quality standards of snow-melting agents and the management regulations of industrial waste salts,and the formulation of corresponding usage strategies,aimed at reducing the potential environmental release of heavy metals from the use of snow-melting agents,thereby promoting more sustainable green urban development and environmentally sound waste management. 展开更多
关键词 Snow-melting agent Heavy metals Industrial waste salts recycled Comparative analysis
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Reducing agents for induction and maintenance therapy achieve long-term remission of refractory ulcerative colitis:A case report and review of literature
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作者 Pamela B Sylvestre 《World Journal of Gastroenterology》 2026年第2期152-161,共10页
BACKGROUND Ulcerative colitis(UC)is a chronic and debilitating inflammatory bowel disease.Cumulative evidence indicates that excess hydrogen peroxide,a potent neutrophilic chemotactic agent,produced by colonic epithel... BACKGROUND Ulcerative colitis(UC)is a chronic and debilitating inflammatory bowel disease.Cumulative evidence indicates that excess hydrogen peroxide,a potent neutrophilic chemotactic agent,produced by colonic epithelial cells has a causal role leading to infiltration of neutrophils into the colonic mucosa and subsequent development of UC.This evidence-based mechanism identifies hydrogen peroxide as a therapeutic target for reducing agents in the treatment of UC.CASE SUMMARY Presented is a 41-year-old female with a 26-year history of refractory UC.Having developed steroid dependence and never achieving complete remission on treatment by conventional and advanced therapies,she began treatment with oral R-dihydrolipoic acid(RDLA),a lipid-soluble reducing agent with intracellular site of action.Within a week,rectal bleeding ceased.She was asymptomatic for three years until a highly stressful experience,when she noticed blood in her stool.RDLA was discontinued,and she began treatment with oral sodium thiosulfate pentahydrate(STS),a reducing agent with extracellular site of action.After a week,rectal bleeding ceased,and she resumed oral RDLA and discontinued STS.To date,she remains asymptomatic with normal stool calprotectin while on RDLA.CONCLUSION STS and RDLA are reducing agents that serve as highly effective and safe therapy for the induction and maintenance of remission in UC,even in patients refractory or poorly controlled by conventional and advanced therapies.Should preliminary findings be validated by subsequent clinical trials,the use of reducing agents could potentially prevent thousands of colectomies and represent a paradigm shift in the treatment of UC. 展开更多
关键词 Ulcerative colitis COLITIS Inflammatory bowel disease Hydrogen peroxide Sodium thiosulfate R-dihydrolipoic acid Reducing agent Redox homeostasis Reactive oxygen species Case report
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基于AI Agents的高校财务数智化转型研究
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作者 陈冬林 梁应梅 《武汉理工大学学报(社会科学版)》 2025年第5期88-95,共8页
在国家政策驱动与高校高质量发展需求的双重背景下,传统高校财务管理模式面临任务复杂、流程低效与决策滞后等瓶颈。文章以人工智能技术为核心,提出基于AI Agents的高校财务数智化转型框架,通过“基础设施层-数据层-智能协作层-应用层... 在国家政策驱动与高校高质量发展需求的双重背景下,传统高校财务管理模式面临任务复杂、流程低效与决策滞后等瓶颈。文章以人工智能技术为核心,提出基于AI Agents的高校财务数智化转型框架,通过“基础设施层-数据层-智能协作层-应用层”分层架构与任务驱动的多智能体协同机制,整合大语言模型等技术,实现预算管理等场景的流程自动化与动态治理。研究表明,该框架可显著提升高校财务效率、强化风险预警能力,推动高校财务数智化转型,助推学校高质量发展。 展开更多
关键词 智能财务 高校财务 数智化转型 人工智能 agent智能体
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基于唯识学的人工智能agent-agency-action框架
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作者 寿步 《上海师范大学学报(哲学社会科学版)》 北大核心 2026年第1期76-92,共17页
AI的agent范式下的三个核心概念agent、agency、action来源于西方哲学。对照唯识学思想,可以发现AI的agent-agency-action关系与唯识学中的本识—种子—现行关系在结构上是同构的。agent如同作为万法载体的本识,是整个系统的基础(体);ag... AI的agent范式下的三个核心概念agent、agency、action来源于西方哲学。对照唯识学思想,可以发现AI的agent-agency-action关系与唯识学中的本识—种子—现行关系在结构上是同构的。agent如同作为万法载体的本识,是整个系统的基础(体);agency如同储存于本识中的种子,是内在于agent的、待激发的潜能与能力集合(潜在用);而action则是agency在特定条件下被触发后的外显活动,如同种子的现行(显现用)。三者之间形成一个动态、循环、相互依存的闭环:agent作为体承载并体现为agency(潜在用/因);agency在特定条件下(缘)驱动产生action(显现用/果);action的结果通过学习与反馈机制反向熏习并更新agent的内部状态从而创造或调整其agency。由此可以得到AI的基于唯识学的agent-agency-action框架,构建AI的唯识式agent模型。 展开更多
关键词 人工智能 agent AGENCY action 唯识学 阿赖耶识
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基于TRIZ-AI Agent的领域知识库构建方法
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作者 翟东升 杜瑞泽 曲乾玮 《情报杂志》 北大核心 2026年第4期158-167,共10页
[目的]针对TRIZ理论应用中存在的理论复杂、专家依赖强,以及专利文本难以准确映射为技术矛盾的不足,结合TRIZ与AI Agent,构建一种自动识别技术矛盾与发明原理的智能化分析体系,以提高专利创新要素提取的智能化水平。同时,构建领域知识... [目的]针对TRIZ理论应用中存在的理论复杂、专家依赖强,以及专利文本难以准确映射为技术矛盾的不足,结合TRIZ与AI Agent,构建一种自动识别技术矛盾与发明原理的智能化分析体系,以提高专利创新要素提取的智能化水平。同时,构建领域知识库以增强技术创新过程中的辅助能力。[方法]本文以IncoPat数据库中储氢领域的专利数据为研究对象,提出了一种基于TRIZ和AI Agent的技术矛盾抽取与解决方案识别方法,该方法以自然语言处理为基础,通过专利文本信息的抽取、提示优化与技术矛盾抽取与解决方案识别流程设计,构建由多智能体协同工作的AI Agent系统。各Agent分别负责矛盾识别、原理匹配和解决方案生成等子任务,最终形成领域知识库。[结果/结论]实验结果表明,所构建的TRIZ与AI Agent相结合的方法体系,能够更高效地识别专利中的技术矛盾与解决方案,显著提升了专利分析的效率与系统性。同时,领域知识库的构建也为技术创新提供了辅助支持。 展开更多
关键词 专利分析 专利数据 技术识别 领域知识库 技术矛盾 提示优化 TRIZ AI agent
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基于Agent模拟的多利益相关者长期推荐策略
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作者 李汶华 冯婧妮 郭均鹏 《系统工程学报》 北大核心 2026年第1期128-144,共17页
面对多利益相关者情景下用户与提供者的不同目标,旨在探索长期视角下平台的不同推荐策略在动态权衡中的表现形态与演化规律,其中提供者追求曝光公平,用户期待兴趣匹配的推荐,平台需兼顾双方期望.本文运用多智能体建模框架,构建两阶段重... 面对多利益相关者情景下用户与提供者的不同目标,旨在探索长期视角下平台的不同推荐策略在动态权衡中的表现形态与演化规律,其中提供者追求曝光公平,用户期待兴趣匹配的推荐,平台需兼顾双方期望.本文运用多智能体建模框架,构建两阶段重排序算法,分析平台对用户和提供者不同权衡在长期背景下对个体和整体的影响,以探究平台的最优策略.模拟结果表明,完全偏向用户或者完全偏向提供者都充分暴露两者的矛盾的关系,影响平台生态.均衡策略能够妥善平衡提供者曝光公平与用户偏好的冲突.同时,完全偏向用户的策略会导致优质供给流失,长远看反而损害用户信任;反之,适度偏向用户的混合策略可以保证内容供给质量,进而促进用户信任的持续增长,更有利于平台的长远发展. 展开更多
关键词 推荐策略 多智能体建模 公平性 多利益相关者 动态表现
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基于代理智能的平行厨师:从AI Agents到智慧数字机器人饮食系统 被引量:4
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作者 李柏 宋秭函 +4 位作者 李鑫源 黄峻 田永林 殷烛炎 王飞跃 《模式识别与人工智能》 北大核心 2025年第3期252-267,共16页
随着大语言模型技术的高速发展,对话式AI已取得显著进展,但在更复杂任务执行与决策层面仍显局限.为此,代理智能因致力于突破大语言模型仅限信息处理的瓶颈而日益受到关注.文中提出基于代理智能技术的平行厨师智能烹饪系统,提供从菜品决... 随着大语言模型技术的高速发展,对话式AI已取得显著进展,但在更复杂任务执行与决策层面仍显局限.为此,代理智能因致力于突破大语言模型仅限信息处理的瓶颈而日益受到关注.文中提出基于代理智能技术的平行厨师智能烹饪系统,提供从菜品决策到烹饪执行的全流程智能化方案.系统综合利用用户健康数据、病史与饮食偏好,实现个性化的菜谱设计与烹饪控制.基于DeepSeek构建多智能体,从烹饪文献提炼专业问答,对大语言模型离线微调,使其具备烹饪推理能力.仿真实验表明,相比推理能力较强的静态大模型GPT o1 pro,代理智能方案融入更丰富的专业知识,更贴合用户需求,凸显出其在健康饮食与个性化服务中的应用潜力. 展开更多
关键词 AI智能体 代理智能 平行智能 大语言模型 烹饪机器人 智能烹饪
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GAI-BPAD:基于生成式AI Agent的业务流程异常主动识别框架
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作者 张帅鹏 王世鹏 +4 位作者 何伟 孔兰菊 鹿旭东 郑永清 崔立真 《计算机集成制造系统》 北大核心 2026年第3期1049-1060,共12页
在业务流程信息系统运行过程中,由于软件故障、操作人员失误等因素引发的异常现象十分普遍,这些异常会显著影响服务系统运行状态,并给企业组织带来风险,因此异常识别是业务流程管理中的关键环节。然而,部分组织机构由于新业务开展频率较... 在业务流程信息系统运行过程中,由于软件故障、操作人员失误等因素引发的异常现象十分普遍,这些异常会显著影响服务系统运行状态,并给企业组织带来风险,因此异常识别是业务流程管理中的关键环节。然而,部分组织机构由于新业务开展频率较低,存在业务数据积累不足或者某些潜在异常尚未在历史数据中展现的问题,这些异常一旦发生往往难以应对。同时,现有的异常识别方法难以主动应对复杂时序依赖和高维数据中的异常检测问题。为了解决上述问题,本文提出了基于生成式AI Agent的业务流程异常主动识别框架(GAI-BPAD),该框架分为感知、决策和执行3个主要模块,通过生成对抗网络(GAN)增强业务流程行为样本的多样性,并结合基于注意力机制的双向GRU神经网络(Att-Bi-GRU)进行异常识别。在9个真实数据集上进行了评估,实验结果表明,该方法相较于传统的异常识别方法,在准确性和鲁棒性方面均表现出显著提升,能够有效识别业务流程中的异常行为。 展开更多
关键词 流程挖掘 异常识别 AI agent 人工智能
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LLM赋能的战术兵棋决策Agent构建方法
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作者 刘大勇 董志明 +2 位作者 郭齐胜 高昂 邱雪欢 《系统仿真学报》 北大核心 2026年第3期758-775,共18页
在战术兵棋推演中,决策Agent是人机、机机以及人机混合对抗的关键支撑,其智能化水平至关重要。针对传统决策Agent存在的适应性不足、策略单一、构建成本高等问题,提出一种大小模型融合驱动的决策框架,并重点研究了LLM与行为树、有限状... 在战术兵棋推演中,决策Agent是人机、机机以及人机混合对抗的关键支撑,其智能化水平至关重要。针对传统决策Agent存在的适应性不足、策略单一、构建成本高等问题,提出一种大小模型融合驱动的决策框架,并重点研究了LLM与行为树、有限状态机、启发式搜索、深度强化学习等常规决策Agent构建方法的融合方式。本研究可为战术兵棋决策Agent构建提供新的思路和技术路径。 展开更多
关键词 LLM 战术兵棋 决策agent 融合决策框架
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基于Agent模型的虔州八境图文化数智传承体验设计研究
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作者 余炤青 丁粤红 《包装工程》 北大核心 2026年第2期432-440,共9页
目的以“虔州八境图”为具体研究对象,探索AI Agent模型在文化数智传承界面设计中的应用路径,解决文化意境转译不精准、交互体验单一等问题。方法首先,通过SWOT-PEST混合分析法系统识别AI Agent在文化数字化中的内外部因素;其次,引入卡... 目的以“虔州八境图”为具体研究对象,探索AI Agent模型在文化数智传承界面设计中的应用路径,解决文化意境转译不精准、交互体验单一等问题。方法首先,通过SWOT-PEST混合分析法系统识别AI Agent在文化数字化中的内外部因素;其次,引入卡诺模型(KANO)识别出“虚实融合”与“意境生成”等关键功能的魅力属性与期望属性;最后,基于Unity引擎与多模态AI技术,开发出具备意境生成、情境导览、AR交互等核心功能的原型系统,并通过标准SUS量表与30名用户的实证测试验证其系统可用性。结论AI Agent能有效支撑文化数智传承界面设计,在诗意可视化、个性化叙事等方面表现突出,为同类文化遗产的数字化创新层面提供了可复用的技术路径与设计范式。 展开更多
关键词 AI agent 文化传承 界面设计 虔州八境图 体验设计
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An Empirical Study on the Reflective Feedback Model Based on Pedagogical Agents to Improve Students’ Problem-Solving Ability 被引量:1
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作者 Hui-Lin Zhang Jun-Jie Yan +4 位作者 Jing Liu Zhuo-Cen Zou Qun-Fang Zeng Yu-Lu Jin Jian-Nan Wu 《教育技术与创新》 2025年第1期66-75,共10页
This study constructs a reflective feedback model based on a pedagogical agent(PA)and explores its impact on students’problem-solving ability and cognitive load.A quasi-experimental design was used in the study,with ... This study constructs a reflective feedback model based on a pedagogical agent(PA)and explores its impact on students’problem-solving ability and cognitive load.A quasi-experimental design was used in the study,with 84 students from a middle school selected as the research subjects(44 in the experimental group and 40 in the control group).The experimental group used the reflective feedback model,while the control group used the factual feedback model.The results show that,compared with factual feedback,the reflective feedback model based on the pedagogical agent significantly improves students’problem-solving ability,especially at the action and thinking levels.In addition,this model effectively reduces students’cognitive load,especially in terms of internal and external load. 展开更多
关键词 pedagogical agent problem-solving ability reflective feedback
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Extracellular vesicles as delivery vehicles and therapeutic agents for glioblastoma treatment:A systematic review of in vitro and in vivo preclinical studies 被引量:1
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作者 Jun Quan Ng Nabil Ajwad Abu Yazid +3 位作者 Shing Cheng Tan Mastura Monif Tin Wui Wong Si-Yuen Lee 《Asian Journal of Pharmaceutical Sciences》 2025年第3期72-91,共20页
Current treatments for glioblastoma face challenges such as the blood-brain barrier and lack of targeted therapy,compounded by the aggressive nature,high invasiveness,and heterogeneity of the disease.Exosomes,a subtyp... Current treatments for glioblastoma face challenges such as the blood-brain barrier and lack of targeted therapy,compounded by the aggressive nature,high invasiveness,and heterogeneity of the disease.Exosomes,a subtype of extracellular vesicles are emerging as promising nanocarrier drug delivery systems to address these limitations.Exosomes released by all cell types can be easily obtained and modified as delivery vehicles or therapeutic agents.A systematic review was conducted to evaluate various methods for exosome isolation,characterization,engineering or modification,drug loading and delivery efficiency,including exosome biodistribution and treatment efficacy.A search of four databases for in vitro and in vivo studies(2000–,2023)identified 6165 records,of which 23 articles were found eligible and included for analyses.Most studies applied ultracentrifugation(UC)for exosomes isolation.Cancer cell lines being the most frequently used source of exosomes,followed by stem cells.The incubation approach was predominantly utilized to modify exosomes for drug loading.In vivo analysis showed that exosome biodistribution was primarily concentrated in the brain region,peaking in the first 6 h and remained moderately high.Compared to native exosomes and untreated control groups,utilizing modified native exosomes(cargo loaded)for treating glioblastoma disease models led to more pronounced suppression of tumor growth and proliferation,enhanced stimulation of immune response and apoptosis,effective restoration of drug chemosensitivity,increased anti-tumor effect and prolonged survival rates.Modified exosomes whether through incubation,sonication,transfection,freeze-thawing or their combination,improve targeted delivery and therapeutic efficacy against glioblastoma. 展开更多
关键词 Blood-brain barrier Cargo laoding Delivery vehicle EXOSOMES Extracellular vesicles GLIOBLASTOMA Therapeutic agent
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Agent驱动的审计智能化应用研究
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作者 陈勇 潘炜城 +2 位作者 廖依凡 徐晨 徐超 《中国注册会计师》 北大核心 2026年第2期52-60,5,共10页
本文构建以大语言模型为推理核心的审计问答Agent与审计证据搜集Multi-Agent。前者基于意图识别与RAG提升准确性及可追溯性回答;后者在审计证据搜集场景中实现多源数据抽取、规则校验、语义复核与报告生成。实验对比了两个场景下Agent... 本文构建以大语言模型为推理核心的审计问答Agent与审计证据搜集Multi-Agent。前者基于意图识别与RAG提升准确性及可追溯性回答;后者在审计证据搜集场景中实现多源数据抽取、规则校验、语义复核与报告生成。实验对比了两个场景下Agent与单一大模型的表现,结果在ROUGE、BERT Score及F1和召回等指标上均有提升,并显著增强可解释性与工程可落地性。 展开更多
关键词 人工智能 审计智能化 agent
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Key fungal communities related to alleviating replanting stress of Lanzhou lily under silicon fertilizer and microbial agents application
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作者 WANG Yi-qin YU Yan-lin +5 位作者 YANG Hong-yu LI Hui HOU Lei MAN Hua-li HAN Jia SHI Gui-ying 《植物营养与肥料学报》 北大核心 2025年第2期395-406,共12页
【Objectives】Si and microbial application could relieve the crop replanting problems(CRPs).We further studied the change of key microorganisms that are related to the beneficial effects,aiming at provide reference fo... 【Objectives】Si and microbial application could relieve the crop replanting problems(CRPs).We further studied the change of key microorganisms that are related to the beneficial effects,aiming at provide reference for the manufacture and application of both microbial agents and Si fertilizer in food lily production.【Methods】A field experiment was conducted over a three-year period,from March 2019 to March 2022.The experimental field had been continuously cultivated with lily for 9 years.Three treatments were established:silicon fertilizer(SF),microbial agents(“Special 8^(TM)”,MF),and combined application of silicon fertilizer and microbial agents(SMF).A control group with blank soil(CK)was also included.At seedling stage of Lanzhou lilies in 2020 and 2021,the shoot and bulb dry weight,and the plant height and stem diameter of Lanzhou lilies were investigated for calculation of seedling index.In July 2020,20 plants were selected in each plot,and root zone soils were sampled at a depth of 20 cm,10 cm away from the roots,and then mixed to form a composite sample.The soil available Si and organic matter content were analyzed,and the fungal community structure and some specific microbial groups in soils were determined with high-throughput sequencing of ITS.【Results】All the three treatments significantly enhanced the lily plant growth and the seedling index,compared to CK.Besides,SF and MF treatments increased the relative abundances(RA)and diversity of fungal communities,and altered the community structures.The RA of some specific groups were found to be significantly correlated with the seedling index and/or soil available Si.Of them,the RA of the genera Fusarium,Dactylonectria,Humicola,Stilbella,and the species Humicola_grisea showed a positive correlation,while that of the genera Mortierella,Stilbella,Holtermanniella,and the species Mortierella_fatshederae showed a negative correlation with seedling index.The genera Fusarium,Stilbella,the species Humicola_grisea,and Dactylonectria_estremocensis showed a positive correlation,while the genura Stilbella,and the species Mortierella fatshederae showed a negative correlation with available Si content.In the co-occurence network of top twenty fungal genera and top sixteen bacterial genera(RA>0.2%),Holtermanniella was the only genus that interacted with the bacteria and negatively correlated with bacterial genus Blastococcus.Holtermanniella was also the most densely connected genera,followed by the genus Fusarium,Didymella and Humicola.In addition,the genus Holtermanniella was the key species connecting fungal and bacterial community in soil.Fungal functional prediction revealed that SF,MF and SMF treatments decreased plant pathogens guilds and increased the beneficial guilds Ectomycorrhizal,plant saprophyte,leaf saprophyte,and arbuscular mycorrhizal compared to CK.【Conclusions】Combined application of silicon fertilizer and microbial agents can alleviate continuous replanting problems of Lanzhou lilies through restoring the fungal community diversity,and promoting plant residue depredation,thus reducing soil born disease incidence.The beneficial genus Humicola and its one species H.grisea acts as bioconversion,and the genus Acremonium acts as plant pathogen inhibitor. 展开更多
关键词 Lanzhou lily soil fungi diversity pathotroph saprophyte silicon fertilization microbial agent
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RadiFlow:AI Agents重构放射科工作流程
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作者 张濛濛 丛福泽 +8 位作者 王静 张慧 李娟娟 倪清桦 丁炫婷 田永林 吕宜生 薛华丹 王飞跃 《智能科学与技术学报》 2025年第3期396-407,共12页
随着现代医学的飞速发展和诊疗需求的日益增长,放射科作为临床诊断的核心部门,工作流程面临着多重挑战。这些挑战突出体现在多设备区域的复杂患者调度、人工操作导致的流程效率瓶颈、诊断辅助缺乏多模态临床信息综合推理能力以及报告撰... 随着现代医学的飞速发展和诊疗需求的日益增长,放射科作为临床诊断的核心部门,工作流程面临着多重挑战。这些挑战突出体现在多设备区域的复杂患者调度、人工操作导致的流程效率瓶颈、诊断辅助缺乏多模态临床信息综合推理能力以及报告撰写耗时等方面。提出了基于代理智能(agentic AI)的放射科全流程智能系统RadiFlow,构建了预约与患者管理智能体、影像采集协同智能体、分析与诊断推理智能体以及报告生成与解读智能体。通过智能体的协同,系统能够高效处理复杂患者调度与跨区域设备分流、实现影像采集标准化与智能容错、进行精准辅助诊断、自动化生成规范化报告并进行解读。本文为初步总结报告,仅通过案例研究,验证RadiFlow在提升放射科效率、诊断准确性、患者满意度及减轻医护负担方面展现出显著潜力,后续将基于此框架构建放射科多智能体系统,在实际场景中应用验证,以期为构建更智能、高效的放射科提供创新思路。 展开更多
关键词 智能体 放射科 人工智能 大语言模型
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A Novel Catalytic Fluorescent Probe and Its Application in Copper Detection in Gas-Generating Agents
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作者 Cheng Xiaohong Zhang Renjie +4 位作者 You Jun Fu Wenbin Shen Wenjie Luo Yunqiang Wang Song 《有机化学》 北大核心 2025年第11期4195-4201,共7页
A new coumarin derivative C2 was constructed to act as a highly effective turn-on fluorescent probe for Cu^(2+)ions.The introduction of Cu^(2+)could lead to the hydrolytic cleavage of the phenylhydrazone moiety in C2 ... A new coumarin derivative C2 was constructed to act as a highly effective turn-on fluorescent probe for Cu^(2+)ions.The introduction of Cu^(2+)could lead to the hydrolytic cleavage of the phenylhydrazone moiety in C2 and the transformation into strongly fluorescent aldehyde C1.Probe C2 could recognize Cu^(2+)through a marked fluorescence enhancement with the detection limit as low as 150 nmol/L.By virtue of this unique catalytic hydrolysis reaction,compound C2 displayed highly selective response toward Cu^(2+)over other common ions even in the presence of excessive competitive ions.Furthermore,there was a good linear relationship between the intensity change and the concentration of Cu^(2+)ions,which was beneficial for the exactly quantitative detection.Especially,the efficient detection of Cu^(2+)with C2 for the practical application was successfully performed in gas-generating agents detection. 展开更多
关键词 fluorescent probe copper ions catalytic hydrolysis high sensitivity gas-generating agents detection
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MorpheusAPI:基于大语言模型Agent的智能麻醉平台
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作者 王静 申乐 +8 位作者 林飞 张濛濛 黄俊 倪清桦 田永林 兰岭 叶佩军 吕宜生 王飞跃 《智能系统学报》 北大核心 2026年第1期156-166,共11页
针对传统围术期麻醉管理模式主要依赖临床指南和麻醉医生临床判断,使得麻醉医生在面对海量的实时生理数据、复杂的患者个体化情况以及瞬息万变的高风险场景时需要承担巨大的工作负担和决策压力的问题,本文提出了MorpheusAPI框架,一种基... 针对传统围术期麻醉管理模式主要依赖临床指南和麻醉医生临床判断,使得麻醉医生在面对海量的实时生理数据、复杂的患者个体化情况以及瞬息万变的高风险场景时需要承担巨大的工作负担和决策压力的问题,本文提出了MorpheusAPI框架,一种基于大语言模型(large language models,LLMs)的多Agents智能麻醉平台。该平台包含执行大模型和影子大模型,执行大模型整合了感知、预测、决策、验证和中央协调5个Agents,通过模型上下文协议(model context protocol,MCP)实现多模态数据高效整合,思维链(chain-of-thought,CoT)提示增强风险推理,检索增强生成(retrieval-augmented generation,RAG)确保临床决策可靠性,麻醉影子大模型通过持续优化执行模型性能形成闭环系统。案例研究显示MorpheusAPI系统风险预测响应时间0.4 s,核心推理延迟10~15 ms,成功将丙泊酚诱导剂量优化至2.0 mg/(kg·h),维持平均动脉压不小于65 mmHg,结果验证了其在提升麻醉安全性和效率的巨大潜力,可为智能麻醉系统设计与应用提供新思路。 展开更多
关键词 麻醉 多代理系统 大语言模型 人工智能 智能代理 决策支持系统 医疗计算 风险评估
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