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
Cancer,ranging from early stages to metastatic spread,is one of the leading causes of death globally.Current treatment options,including chemotherapy,radiotherapy,and targeted drugs,have limitations substantial advers...Cancer,ranging from early stages to metastatic spread,is one of the leading causes of death globally.Current treatment options,including chemotherapy,radiotherapy,and targeted drugs,have limitations substantial adverse effects,the development of drug resistance,and high cost.To address these challenges,numerous studies have focused on repurposing existing drugs for anticancer therapy,with clotrimazole(CLZ)emerging as a promising candidate due to its notable anticancer activity.CLZ was first developed as an antifungal agent.Recently,significant anticancer effects have been observed making it a suitable candidate for drug repurposing.Compared with other azole-based antifungals,CLZ has shown distinct therapeutic effects on cancer cells via several pathways.Its ability to disrupt glycolysis by inhibiting phosphofructokinase(PFK)and hexokinase(HK)distinguishes it from other azoles.Furthermore,CLZ obstructs calcium homeostasis and critical survival pathways,such as extracellular signal-regulated kinase(ERK)-p65,phosphatidylinositol 3-kinase(PI3K),and mitochondrial apoptotic pathways,inhibiting tumor growth,inducing apoptosis,and attenuating metastasis.This review summarizes the potential of CLZ repurposing for cancer therapy,emphasizing its well-established safety profile and cost-effectiveness while addressing unmet clinical needs in current cancer treatment.It briefly examines in vitro and in vivo assessments to understand the mechanisms and effects of CLZ on various cancer types.Furthermore,novel strategies such as nanoformulations and combination therapies with existing chemotherapeutic drugs have been highlighted to improve therapeutic outcomes.Preclinical studies have provided promising evidence for the efficacy of CLZ in different cancers,showing tumor regression and improved responses to conventional chemotherapy or targeted therapies.Given its evident preclinical results and diverse mechanisms of action,CLZ may be considered an antineoplastic agent.Further clinical research is required to fully elucidate its anticancer potential,potentially positing it as a valuable addition to currently available cancer treatments.展开更多
Berberine,an isoquinoline quaternary alkaloid,is a molecule with significant therapeutic adaptability.It has been identified,isolated,and measured in a wide range of plant families and species.Of these,Berberis stands...Berberine,an isoquinoline quaternary alkaloid,is a molecule with significant therapeutic adaptability.It has been identified,isolated,and measured in a wide range of plant families and species.Of these,Berberis stands out as a significant natural source of berberine,with Berberis vulgaris(B.vulgaris)bark being one of the most notable.The numerous health benefits associated with berberine include its potential use in the treatment of diseases,such as cancer,cardiovascular diseases,diabetes,and neurological disorders.The principal use of berberine has been for its antidiarrheal properties,which may have several modes of action.Its potent antioxidant and anti-inflammatory effects are responsible for its preventive action against stomach ulcers,and it has been found to kill dangerous gut bacteria while boosting the species and numbers of health-promoting bacteria.It protects the colon by influencing the production of several immune factors in addition to upregulating the Wnt-βcreatinine signaling cascade.Berberine has shown its potential in regulating cholesterol metabolism by elevating the levels of low-density lipoprotein receptor in the liver.This review comprehensively examines the pharmacokinetics,multifaceted bioactivities,and gutprotective roles of berberine,providing a detailed analysis of its diverse physiological functions and potential clinical applications to advance the understanding and management of gastrointestinal diseases.展开更多
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
Artificial intelligence has experienced a significant boom with the emergence of agentic AI,where autonomous agents are increasingly replacing human intervention,enabling systems to perceive,reason,and act independent...Artificial intelligence has experienced a significant boom with the emergence of agentic AI,where autonomous agents are increasingly replacing human intervention,enabling systems to perceive,reason,and act independently to achieve specific goals.Despite its transformative potential,comprehensive information on agentic AI remains scarce in the literature.This paper provides the first comprehensive review of agentic AI,focusing on its evolution and three core aspects:patterns,types,and environments.The evolution of agentic AI is traced through five phases to the current era of multi-modal and collaborative agents,driven by advancements in reinforcement learning,neural networks,and large language models(LLMs).Five key patterns:tool use,reflection,ReAct,planning,and multi-agent collaboration(MAC)define how agentic AI systems interact and process tasks.These systems are categorized into seven categories,each tailored for specific operational styles and autonomy in decision making.The environments in which these agents operate are classified as static,dynamic,fully observable,partially observable,deterministic,stochastic,single-agent,and multiagent,emphasizing the impact of environmental complexity on agent behavior.Agentic AI has revolutionized systems through autonomous decision making and resource optimization,yet challenges persist in aligning AI with human values,ensuring adaptability,and addressing ethical constraints.Future research focuses on multidomain agents,human–AI collaboration,and self-improving systems.This work provides researchers,practitioners,and policymakers with a structured approach to understanding and advancing the rapidly evolving landscape of agentic AI systems.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
Waste glass fibers were used as the main raw materials to prepare foamed glass-ceramics with 0-14 wt%H_(3)BO_(3)as a flux agent.The effects of H_(3)BO_(3)on the crystallization process,foaming behavior,and physical pr...Waste glass fibers were used as the main raw materials to prepare foamed glass-ceramics with 0-14 wt%H_(3)BO_(3)as a flux agent.The effects of H_(3)BO_(3)on the crystallization process,foaming behavior,and physical properties of CaO-MgO-Al_(2)O_(3)-SiO_(2)foamed glass-ceramics were investigated.The results showed that the main crystalline phase of the foamed glass-ceramics was anorthite with diopside as a minor crystalline phase,which exhibited a typical surface crystallization process.The addition of H_(3)BO_(3)modified the surface of glass powders and inhibited crystal precipitation obviously.The low melting point of H_(3)BO_(3)and the decrease of crystallinity jointly promoted the growth of pores,resulting in a reduction of bulk density and an increase in porosity.The compressive strength and thermal conductivity of the samples were linearly related to the bulk density.In particular,the sample added with 10 wt%H_(3)BO_(3)exhibited excellent properties,possessing a low coefficient of thermal conductivity 0.081 W/(m·K)and relatively high compressive strength 3.36 MPa.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Cancer,ranging from early stages to metastatic spread,is one of the leading causes of death globally.Current treatment options,including chemotherapy,radiotherapy,and targeted drugs,have limitations substantial adverse effects,the development of drug resistance,and high cost.To address these challenges,numerous studies have focused on repurposing existing drugs for anticancer therapy,with clotrimazole(CLZ)emerging as a promising candidate due to its notable anticancer activity.CLZ was first developed as an antifungal agent.Recently,significant anticancer effects have been observed making it a suitable candidate for drug repurposing.Compared with other azole-based antifungals,CLZ has shown distinct therapeutic effects on cancer cells via several pathways.Its ability to disrupt glycolysis by inhibiting phosphofructokinase(PFK)and hexokinase(HK)distinguishes it from other azoles.Furthermore,CLZ obstructs calcium homeostasis and critical survival pathways,such as extracellular signal-regulated kinase(ERK)-p65,phosphatidylinositol 3-kinase(PI3K),and mitochondrial apoptotic pathways,inhibiting tumor growth,inducing apoptosis,and attenuating metastasis.This review summarizes the potential of CLZ repurposing for cancer therapy,emphasizing its well-established safety profile and cost-effectiveness while addressing unmet clinical needs in current cancer treatment.It briefly examines in vitro and in vivo assessments to understand the mechanisms and effects of CLZ on various cancer types.Furthermore,novel strategies such as nanoformulations and combination therapies with existing chemotherapeutic drugs have been highlighted to improve therapeutic outcomes.Preclinical studies have provided promising evidence for the efficacy of CLZ in different cancers,showing tumor regression and improved responses to conventional chemotherapy or targeted therapies.Given its evident preclinical results and diverse mechanisms of action,CLZ may be considered an antineoplastic agent.Further clinical research is required to fully elucidate its anticancer potential,potentially positing it as a valuable addition to currently available cancer treatments.
文摘Berberine,an isoquinoline quaternary alkaloid,is a molecule with significant therapeutic adaptability.It has been identified,isolated,and measured in a wide range of plant families and species.Of these,Berberis stands out as a significant natural source of berberine,with Berberis vulgaris(B.vulgaris)bark being one of the most notable.The numerous health benefits associated with berberine include its potential use in the treatment of diseases,such as cancer,cardiovascular diseases,diabetes,and neurological disorders.The principal use of berberine has been for its antidiarrheal properties,which may have several modes of action.Its potent antioxidant and anti-inflammatory effects are responsible for its preventive action against stomach ulcers,and it has been found to kill dangerous gut bacteria while boosting the species and numbers of health-promoting bacteria.It protects the colon by influencing the production of several immune factors in addition to upregulating the Wnt-βcreatinine signaling cascade.Berberine has shown its potential in regulating cholesterol metabolism by elevating the levels of low-density lipoprotein receptor in the liver.This review comprehensively examines the pharmacokinetics,multifaceted bioactivities,and gutprotective roles of berberine,providing a detailed analysis of its diverse physiological functions and potential clinical applications to advance the understanding and management of gastrointestinal diseases.
基金supported by the National Key R&D Program of China(No.2023YFC3706703)the National Natural Science Foundation of China(No.51874018)。
文摘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.
文摘Artificial intelligence has experienced a significant boom with the emergence of agentic AI,where autonomous agents are increasingly replacing human intervention,enabling systems to perceive,reason,and act independently to achieve specific goals.Despite its transformative potential,comprehensive information on agentic AI remains scarce in the literature.This paper provides the first comprehensive review of agentic AI,focusing on its evolution and three core aspects:patterns,types,and environments.The evolution of agentic AI is traced through five phases to the current era of multi-modal and collaborative agents,driven by advancements in reinforcement learning,neural networks,and large language models(LLMs).Five key patterns:tool use,reflection,ReAct,planning,and multi-agent collaboration(MAC)define how agentic AI systems interact and process tasks.These systems are categorized into seven categories,each tailored for specific operational styles and autonomy in decision making.The environments in which these agents operate are classified as static,dynamic,fully observable,partially observable,deterministic,stochastic,single-agent,and multiagent,emphasizing the impact of environmental complexity on agent behavior.Agentic AI has revolutionized systems through autonomous decision making and resource optimization,yet challenges persist in aligning AI with human values,ensuring adaptability,and addressing ethical constraints.Future research focuses on multidomain agents,human–AI collaboration,and self-improving systems.This work provides researchers,practitioners,and policymakers with a structured approach to understanding and advancing the rapidly evolving landscape of agentic AI systems.
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.
基金Funded by Shandong Provincial Youth Innovation Team Development Plan of Colleges and Universities(No.2022KJ100)National Natural Science Foundation of China(No.52172019)。
文摘Waste glass fibers were used as the main raw materials to prepare foamed glass-ceramics with 0-14 wt%H_(3)BO_(3)as a flux agent.The effects of H_(3)BO_(3)on the crystallization process,foaming behavior,and physical properties of CaO-MgO-Al_(2)O_(3)-SiO_(2)foamed glass-ceramics were investigated.The results showed that the main crystalline phase of the foamed glass-ceramics was anorthite with diopside as a minor crystalline phase,which exhibited a typical surface crystallization process.The addition of H_(3)BO_(3)modified the surface of glass powders and inhibited crystal precipitation obviously.The low melting point of H_(3)BO_(3)and the decrease of crystallinity jointly promoted the growth of pores,resulting in a reduction of bulk density and an increase in porosity.The compressive strength and thermal conductivity of the samples were linearly related to the bulk density.In particular,the sample added with 10 wt%H_(3)BO_(3)exhibited excellent properties,possessing a low coefficient of thermal conductivity 0.081 W/(m·K)and relatively high compressive strength 3.36 MPa.
