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
Selecting the initial antipsychotic dose is a high-impact decision in acute schizophrenia.A randomized study found that starting lurasidone at 80 mg/day for 1 week(then flexible titration)produced earlier reductions i...Selecting the initial antipsychotic dose is a high-impact decision in acute schizophrenia.A randomized study found that starting lurasidone at 80 mg/day for 1 week(then flexible titration)produced earlier reductions in Positive and Negative Syndrome Scale positive symptoms than 40 mg/day,without higher discontinuations for adverse events or a metabolic penalty over 6 weeks.These data support an individualized approach:Start at 80 mg/day when rapid control of positive symptoms or agitation is needed and tolerance permits;start at 40 mg/day when akathisia risk or patient preference argues for caution,with a planned day-7 review for up-titration.The open-label design,dose convergence after week 1,and the lack of stratified randomization limit attribution of longer-term advantages to starting dose.Even so,the trial reframes initial dose as a modifiable lever for the early course rather than a one-size-fits-all rule and warrants confirmation in larger,double-blind randomized trials.展开更多
Objective:To evaluate the effectiveness of direct-acting antivirals(DAAs)in patients with chronic hepatitis C,assess changes in liver function and hepatic fibrosis following treatment,and identify independent predicto...Objective:To evaluate the effectiveness of direct-acting antivirals(DAAs)in patients with chronic hepatitis C,assess changes in liver function and hepatic fibrosis following treatment,and identify independent predictors of treatment failure.Methods:This retrospective cohort study included patients who received DAA therapy at Hospital Kuala Lumpur between January 2020 and December 2023.Sustained virologic response(SVR)was assessed at least 12 weeks post-treatment by reverse transcription-polymerase chain reaction for hepatitis C virus(HCV)RNA.Demographic,clinical,and laboratory data were collected and analyzed.Multiple logistic regression analysis was performed to identify independent predictors of treatment failure.Results:A total of 335 patients in the study.The overall SVR rate was 89%.After achieving SVR,significant improvements were observed in liver enzyme levels and non-invasive liver fibrosis scores,whereas the overall Model for End-Stage Liver Disease(MELD)scores remained unchanged.Significant independent predictors of treatment failure included non-compliance with DAA therapy[adjusted odds ratio(aOR)68.3;95%confidence interval(95%CI)16.3-285.0;P<0.001],treatment with sofosbuvir/velpatasvir(aOR 6.1;95%CI 1.4-26.5;P=0.015),MELD score of 10-15(aOR 4.6;95%CI 1.1-18.2;P=0.031),HCV genotype 3 infection(aOR 4.5;95%CI 1.1-17.6;P=0.031),and elevated serum total bilirubin level(aOR 1.1;95%CI 1.0-1.1;P=0.003).Conclusions:DAA therapy yielded a high SVR rate,and treatment failure was strongly associated with non-adherence to therapy and advanced liver disease.These findings underscore the necessity of adherence support,early diagnosis,and individualized clinical management to optimize treatment outcomes in patients with chronic hepatitis C.展开更多
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
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
Owing to the emergence of drug resistance and high morbidity,the need for novel antiviral drugs with novel targets is highly sought after.Marine-derived compounds mostly possess potent antiviral activity and serve as ...Owing to the emergence of drug resistance and high morbidity,the need for novel antiviral drugs with novel targets is highly sought after.Marine-derived compounds mostly possess potent antiviral activity and serve as a primary source for developing novel antiviral drugs,making the rapid discovery and evaluation of marine antiviral agents particularly crucial.Thus,future research should place greater emphasis on the identification of novel antiviral targets through the combination of artificial intelligence(AI)and structural pharmacology,as well as expanding the marine resource and target databases.展开更多
针对体系优化存在的体系建模困难、难以量化反映体系效能问题,本文在深入分析武器装备体系结构基础上,通过基于Agent的建模和图示评审技术(graphical evaluation and review technique,GERT)构建具有自学习机制的体系A-GERT网络,实现体...针对体系优化存在的体系建模困难、难以量化反映体系效能问题,本文在深入分析武器装备体系结构基础上,通过基于Agent的建模和图示评审技术(graphical evaluation and review technique,GERT)构建具有自学习机制的体系A-GERT网络,实现体系效能优化。其次,基于矩母函数与梅森公式给出了体系作战链/网任务成功概率和作战效能的计算方法和证明,并在深刻剖析体系组成单元贡献的基础上,借助合作博弈的利益公平分配思想,提出了基于Shapley值的体系组成单元期望贡献评估模型。然后,基于马尔可夫过程理论,提出了基于组成单元贡献的A-GERT网络体系效能优化算法。最后结合实例研究,说明了所提模型的可行性和有效性。展开更多
基金supported by the Ministry of Education and Science of the Republic of North Macedonia through the project“Utilizing AI and National Large Language Models to Advance Macedonian Language Capabilties”。
文摘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.
文摘Selecting the initial antipsychotic dose is a high-impact decision in acute schizophrenia.A randomized study found that starting lurasidone at 80 mg/day for 1 week(then flexible titration)produced earlier reductions in Positive and Negative Syndrome Scale positive symptoms than 40 mg/day,without higher discontinuations for adverse events or a metabolic penalty over 6 weeks.These data support an individualized approach:Start at 80 mg/day when rapid control of positive symptoms or agitation is needed and tolerance permits;start at 40 mg/day when akathisia risk or patient preference argues for caution,with a planned day-7 review for up-titration.The open-label design,dose convergence after week 1,and the lack of stratified randomization limit attribution of longer-term advantages to starting dose.Even so,the trial reframes initial dose as a modifiable lever for the early course rather than a one-size-fits-all rule and warrants confirmation in larger,double-blind randomized trials.
文摘Objective:To evaluate the effectiveness of direct-acting antivirals(DAAs)in patients with chronic hepatitis C,assess changes in liver function and hepatic fibrosis following treatment,and identify independent predictors of treatment failure.Methods:This retrospective cohort study included patients who received DAA therapy at Hospital Kuala Lumpur between January 2020 and December 2023.Sustained virologic response(SVR)was assessed at least 12 weeks post-treatment by reverse transcription-polymerase chain reaction for hepatitis C virus(HCV)RNA.Demographic,clinical,and laboratory data were collected and analyzed.Multiple logistic regression analysis was performed to identify independent predictors of treatment failure.Results:A total of 335 patients in the study.The overall SVR rate was 89%.After achieving SVR,significant improvements were observed in liver enzyme levels and non-invasive liver fibrosis scores,whereas the overall Model for End-Stage Liver Disease(MELD)scores remained unchanged.Significant independent predictors of treatment failure included non-compliance with DAA therapy[adjusted odds ratio(aOR)68.3;95%confidence interval(95%CI)16.3-285.0;P<0.001],treatment with sofosbuvir/velpatasvir(aOR 6.1;95%CI 1.4-26.5;P=0.015),MELD score of 10-15(aOR 4.6;95%CI 1.1-18.2;P=0.031),HCV genotype 3 infection(aOR 4.5;95%CI 1.1-17.6;P=0.031),and elevated serum total bilirubin level(aOR 1.1;95%CI 1.0-1.1;P=0.003).Conclusions:DAA therapy yielded a high SVR rate,and treatment failure was strongly associated with non-adherence to therapy and advanced liver disease.These findings underscore the necessity of adherence support,early diagnosis,and individualized clinical management to optimize treatment outcomes in patients with chronic hepatitis C.
基金supported by the National Natural Science Foundation of China(No.22176200)the Industrial Innovation Entrepreneurial Team Project of Ordos 2021.
文摘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.
文摘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.
文摘Owing to the emergence of drug resistance and high morbidity,the need for novel antiviral drugs with novel targets is highly sought after.Marine-derived compounds mostly possess potent antiviral activity and serve as a primary source for developing novel antiviral drugs,making the rapid discovery and evaluation of marine antiviral agents particularly crucial.Thus,future research should place greater emphasis on the identification of novel antiviral targets through the combination of artificial intelligence(AI)and structural pharmacology,as well as expanding the marine resource and target databases.
文摘针对体系优化存在的体系建模困难、难以量化反映体系效能问题,本文在深入分析武器装备体系结构基础上,通过基于Agent的建模和图示评审技术(graphical evaluation and review technique,GERT)构建具有自学习机制的体系A-GERT网络,实现体系效能优化。其次,基于矩母函数与梅森公式给出了体系作战链/网任务成功概率和作战效能的计算方法和证明,并在深刻剖析体系组成单元贡献的基础上,借助合作博弈的利益公平分配思想,提出了基于Shapley值的体系组成单元期望贡献评估模型。然后,基于马尔可夫过程理论,提出了基于组成单元贡献的A-GERT网络体系效能优化算法。最后结合实例研究,说明了所提模型的可行性和有效性。
