In this research, precise motion control and synchronized high-speed microscopic dual-wavelength interferometry were employed to investigate the impact of surface-active components on the rupture behavior of wetting f...In this research, precise motion control and synchronized high-speed microscopic dual-wavelength interferometry were employed to investigate the impact of surface-active components on the rupture behavior of wetting films. The findings unveiled a novel mechanism for wetting film rupture at hydrophobic interfaces, propelled by gas migration towards the solid-liquid interface, resulting in the nucleation and growth of surface nanobubble. Salt ions accelerate film rupture by reducing electrostatic interactions and enhancing gas transfer, whereas surfactant adsorption immobilizes the gas-liquid interface through the Marangoni effect, thereby postponing rupture by impeding gas migration and surface nanobubble formation. Furthermore, surfactants influence the kinetics of three-phase contact line formation, where variations in molecular structure, solubility, and ionic properties contributing to differing levels of friction, and thereby affecting the overall dynamics of wetting films.展开更多
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
【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
Nanolipid carriers and traditional emulsion containing chemical sunscreens were prepared using emulsification combined with ultrasonic technology.The nanolipid carriers showed superior performance in sunscreen encapsu...Nanolipid carriers and traditional emulsion containing chemical sunscreens were prepared using emulsification combined with ultrasonic technology.The nanolipid carriers showed superior performance in sunscreen encapsulation,slow release and skin impermeability,and provided an excellent nanolipid slow-release encapsulation system for sunscreens.As observed by transmission electron microscopy,the nanolipid carriers were spherical shape,with smooth surface and uniform distribution,and the particle sizes were mainly concentrated in the range of 230 to 250 nm without agglomeration.The nanolipid carriers significantly improved the sunscreen performance through the synergistic effect of scattering and chemical absorption,and showed better UV stability than traditional sunscreen,indicating their photoprotective function.In vitro release experiments showed that the nano-lipidic carriers exhibited better release control when loaded with octyl methoxycinnamate(OMC)and butylmethoxydibenzoylmethane(BDFM)sunscreens than traditional traditional emulsions,with the cumulative release rate of OMC in the nano-lipidic carriers decreasing by 17.17% to 30.24% within 12 hours,and that of BDFM decreasing by 26.67% to 44.67%.26.67% to 44.16%.The results of the in vitro permeation experiment further confirmed that the nanolipid carriers could effectively encapsulate the sunscreens and prevent them from penetrating the skin barrier,thus reducing the skin irritation.Compared with traditional traditional emulsion,the cumulative penetration of OMC in nanostructured lipid carriers was 2.24μg/cm^(2)in 4 hours,while the cumulative penetration was reduced by 68.05%.The cumulative penetration of BDFM in the nanostructured lipid carrier was 3.24μg/cm^(2),with a 64.04%reduction in cumulative penetration.展开更多
Given that the citrus psyllid is the primary vector of citrus Huanglongbing(HLB),there is an urgent need to control this pest to mitigate the spread of the disease.This paper reviews the current research on two predom...Given that the citrus psyllid is the primary vector of citrus Huanglongbing(HLB),there is an urgent need to control this pest to mitigate the spread of the disease.This paper reviews the current research on two predominant control strategies:chemical control and biological control agents,in managing the citrus psyllid.It emphasizes the mechanisms of action,efficacy,and application advancements of these control methods.Finally,the paper analyzes the principal challenges associated with the sustainable management of citrus psyllids and offers perspectives for future research.展开更多
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
Domain randomization is a widely adopted technique in deep reinforcement learning(DRL)to improve agent generalization by exposing policies to diverse environmental conditions.This paper investigates the impact of diff...Domain randomization is a widely adopted technique in deep reinforcement learning(DRL)to improve agent generalization by exposing policies to diverse environmental conditions.This paper investigates the impact of different reset strategies,normal,non-randomized,and randomized,on agent performance using the Deep Deterministic Policy Gradient(DDPG)and Twin Delayed DDPG(TD3)algorithms within the CarRacing-v2 environment.Two experimental setups were conducted:an extended training regime with DDPG for 1000 steps per episode across 1000 episodes,and a fast execution setup comparing DDPG and TD3 for 30 episodes with 50 steps per episode under constrained computational resources.A step-based reward scaling mechanism was applied under the randomized reset condition to promote broader state exploration.Experimental results showthat randomized resets significantly enhance learning efficiency and generalization,with DDPG demonstrating superior performance across all reset strategies.In particular,DDPG combined with randomized resets achieves the highest smoothed rewards(reaching approximately 15),best stability,and fastest convergence.These differences are statistically significant,as confirmed by t-tests:DDPG outperforms TD3 under randomized(t=−101.91,p<0.0001),normal(t=−21.59,p<0.0001),and non-randomized(t=−62.46,p<0.0001)reset conditions.The findings underscore the critical role of reset strategy and reward shaping in enhancing the robustness and adaptability of DRL agents in continuous control tasks,particularly in environments where computational efficiency and training stability are crucial.展开更多
Clinical pharmacy is on the cusp of exponential change powered by artificial intelligence agents,automation,data analytics,and robotics.Blockchain will enhance data integrity and transparency,and Augmented and Virtual...Clinical pharmacy is on the cusp of exponential change powered by artificial intelligence agents,automation,data analytics,and robotics.Blockchain will enhance data integrity and transparency,and Augmented and Virtual Reality technologies will revolutionise training,patient education,and simulation-based care planning.Clinical pharmacists need to be ready and upskill to prepare for emerging technologies.The ethical,regulatory,and educational frameworks surrounding artificial intelligence and precision medicine will require constant attention,but the potential benefits for patient outcomes are unprecedented.Clinical pharmacists are in a prime position to design a new era in precision medicine,where technology works hand in hand with humans to transform healthcare.展开更多
Steganography is a technology that discreetly embeds secret information into the redundant space of a carrier,enabling covert communication.As generative models continue to advance,steganography has evolved from tradi...Steganography is a technology that discreetly embeds secret information into the redundant space of a carrier,enabling covert communication.As generative models continue to advance,steganography has evolved from traditional modification-based methods to generative steganography,which includes generative linguistic and image based forms.However,while large model agents are rapidly emerging,no method has exploited the stable redundant space in their action processes.Inspired by this insightful observation,we propose a steganographic method leveraging large model agents,employing their actions to conceal secret messages.In this paper,we introduce StegoAgent,a generative steganography framework based on graphical user interface(GUI)agents,which effectively demonstrates the remarkable potential and effectiveness of large model agent-based steganographic methods.展开更多
All maritime industries are plagued by marine biofouling pollution,which causes large economic and environmental costs.Therefore,there is an urgent need for ecofriendly alternatives that can effectively reduce the neg...All maritime industries are plagued by marine biofouling pollution,which causes large economic and environmental costs.Therefore,there is an urgent need for ecofriendly alternatives that can effectively reduce the negative consequences of biofouling pollution.This study aimed to produce novel capsaicin-inspired amide derivatives(CIADs)with multifunctional antifouling features by introducing amide compounds to aromatic compounds via a Friedel-Crafts alkylation reaction.The structure of the CIADs was characterized using FTIR,1H NMR,13C NMR,and HRMS,and the comprehensive antifouling capacity was determined by thermal stability,anti-ultraviolet,antibacterial,anti-algal,and marine field experiments.CIADs showed good thermal stability and did not show obvious weight loss before 226°C.2,4-dihydroxy-3,5-diphenylimidemet-hylbenzophenone(DDB)had an excellent ultraviolet absorption effect,which was even better than that of 2-hydroxy-4-(octyloxy)benzophenone.The antibacterial and anti-algal rates of N-(2,4-dimethyl-3-chloro-5-benzamide-methyl-6-hydroxybenzyl)benzamide(NDCBHB)were more than 99.5%and 64.0%,respectively,and the surface of antifouling coating with NDCBHB(NDCBHB-AC)was covered with only a small amount of sludge and biofilm,its antifouling effect was better than that of chlorothalonil.The above work provides a reference for preparing green and multifunctional antifouling agents.展开更多
This paper discusses the importance of standards in the fire extinguishing agent industry,and highlights the vital role of the standards in promoting technological innovation.China’s standards for fire extinguishing ...This paper discusses the importance of standards in the fire extinguishing agent industry,and highlights the vital role of the standards in promoting technological innovation.China’s standards for fire extinguishing agent products have evolved significantly,aligning with industrial development,market demands,regulatory requirements,to respond to the great impact of international competition in the industry.The paper analyzes the current state of China’s standards,including their composition and integration with industry growth,green development strategies,and international harmonization.Future development strategies for the standards framework should focus on valid period estimation,fire test model development,and raw material selection guidelines.By implementing these strategies,China’s fire protection industry can enhance product quality,contribute to public safety,and maintain a competitive edge in the global market.展开更多
The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior using deep learning methods and ensuring interpretability of decisions.A four-module architectu...The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior using deep learning methods and ensuring interpretability of decisions.A four-module architecture is proposed:log collection and aggregation,behavioral feature generation,analysis using the Long Short-Term Memory(LSTM)+Attention model,and an interpretation module.A hybrid approach is used that combines log processing,temporal neural networks and an attention mechanism to identify significant actions in the behavioral chain.Testing was conducted on the Computer Emergency Response Team(CERT)and the Australian Defence Force Academy Linux Dataset(ADFA-LD)datasets.The developed system demonstrated high accuracy rates(ROC-AUC>0.95),as well as superiority over classical and modern models(Logistic Regression,Random Forest,and Autoencoder).The attention mechanism ensured interpretability:it became possible to visually determine which user actions caused the alarm.A method for preparing logs and forming training samples is proposed.The intelligent agent can be integrated into corporate Security Information and Event Management(SIEM)/User and Entity Behavior Analytics(UEBA)systems,used in monitoring centers and applied in educational practice.Scientific novelty is manifested in the architecture,the use of attention in logs and interpretable behavior analysis in real time.展开更多
Natural products are the important sources in cardiovascular drug development.In this study,twenty-nine buthutin derivatives were designed,synthesized,and evaluated for their NHE-1 inhibition and protective effects on...Natural products are the important sources in cardiovascular drug development.In this study,twenty-nine buthutin derivatives were designed,synthesized,and evaluated for their NHE-1 inhibition and protective effects on cardiomyo-cyte injury.The structure of the newly synthesized compounds had been confirmed by 1H-NMR,13C-NMR,and HR-ESI-MS spectra.Among all target compounds at 1μM,compounds 9d,9f,9k,9m,and 9n,with a protection ratio exceeding 30%,exerted stronger protective effects on H9c2 cardiomyocyte than positive control dexrazoxane and buthutin A.Meanwhile,compounds 9k,9m,and 9o showed the significant NHE-1 inhibitory activities on H9c2 cardiomyocyte,all with a dpHi/min value less than 0.23.What is more,compounds 9k,9m,9o and buthutin A all exhibited the specificity on NHE-1 inhibition.Molecular modelling studies suggested the ability of compounds 9m and 9o to establish interactions with three hydrogen bonds to Asp267 and Glu346 of NHE-1,but also the ability with much lower CDOCKER energies than positive control cariporide and buthutin A.The structure-activity relationship(SAR)studies suggested that the presences of amide group,four-carbon linker,and para hydroxyl benzene ring were advantageous pharmacophores for above two pharmacological actions.This research would open new avenues for developing amide-guanidine-based cardioprotective agents.展开更多
Objectives:SLFN11(Schlafen-11)enhances sensitivity to DNA-damaging agents(DDAs)and DNA damage response(DDR)inhibitors in various cancer types.However,its function in pancreatic cancer(PC)remains largely unknown.This r...Objectives:SLFN11(Schlafen-11)enhances sensitivity to DNA-damaging agents(DDAs)and DNA damage response(DDR)inhibitors in various cancer types.However,its function in pancreatic cancer(PC)remains largely unknown.This research aims to investigate the expression patterns of SLFN11 and other SLFN family members in PC and their correlation with drug sensitivity.Methods:SLFN11 expression and genetic alterations were analyzed using publicly available datasets(TCGA and GTEx).Functional studies,including cell cycle,apoptosis assays,and proliferation assays,were performed in SLFN11-knockdown and SLFN11-knockout(KO)PC cells.The relationship between SLFN11 expression and drug responsiveness was assessed via the CellMiner Cross-Database.Results:Analysis of multiple public datasets demonstrated that elevated SLFN11 expression is significantly linked with poor survival outcomes in PC,supporting its function as a predictive marker.Functional assays in PC cell lines demonstrated that SLFN11 knockdown disrupted G1 phase progression and increased apoptosis,indicating its involvement in tumor cell survival.Moreover,while elevated SLFN11 expression correlated with improved sensitivity to gemcitabine in some cell lines,CRISPR/Cas9-mediated SLFN11 knockout resulted in notable gemcitabine resistance.Importantly,this resistance was partially reversed when gemcitabine was combined with cisplatin and DDR inhibitors(Poly(ADP-ribose)polymerase(PARP),ataxia telangiectasia and Rad3 related(ATR),and Wee1 inhibitors),suggesting that SLFN11 modulates the reaction to both DNA-damaging agents and DDR-targeted therapies.Conclusion:Our findings indicate that SLFN11 plays a dual role in PC:as a prognostic marker,with high expression linked to poor clinical outcomes,and as a predictor of drug sensitivity,where its presence is associated with increased gemcitabine efficacy.However,the development of chemoresistance upon SLFN11 loss(and its partial reversal by DDR inhibitors)highlights the complexity of its function.These results underscore that SLFN11 expression alone may not fully determine gemcitabine response,and additional factors are likely involved.Further clinical validation is therefore essential to establish SLFN11 as a reliable biomarker for guiding DDR-targeted therapeutic strategies in PC.展开更多
Acquired immune deficiency syndrome(AIDS)is the name used to describe several potentially life-threatening infections and disorders that happen when HIV has severely compromised the immune system.The primary effect of...Acquired immune deficiency syndrome(AIDS)is the name used to describe several potentially life-threatening infections and disorders that happen when HIV has severely compromised the immune system.The primary effect of HIV is to decrease host immunity,exposing the host to external pathogens.The development of pharmaceutical drugs that directly cure the infection is crucial because of the current wide-ranging epidemic of HIV.Most therapeutic anti-HIV drugs are nucleosides.However,their high toxicity and potential for drug resistance restrict their use.Many of the most effective clinical drugs used to inhibit HIV,the activation of latent HIV,and AIDS have been obtained from natural sources.This review focuses on potential natural medicinal products for treating and managing HIV and AIDS.Notwithstanding,further clinical research studies are needed to understand the subject and its dynamics.展开更多
Four different types of film-forming agents were added to the foundation formulations,and their effects on the makeup-holding properties of the foundations on human facial skin were determined by Visia-CR.The study sh...Four different types of film-forming agents were added to the foundation formulations,and their effects on the makeup-holding properties of the foundations on human facial skin were determined by Visia-CR.The study showed that there was a significant difference between the sample group with film-forming agent and the blank control group,indicating that the addition of film-forming agent had an effect on the makeup-holding performance of the foundation;the makeup-holding effect of the foundation formulated with trimethylsiloxysilicate or(acrylates/dimethicone copolymer,cyclopentasiloxane)was better than that of the foundation formulated with polymethylsilsesquioxane or VP/hexadecene copolymer.This experiment is of guidance significance for the formulation design of long-lasting foundation.展开更多
The addition of complexing agents to the electrolyte has been shown to be an effective method to enhance the discharge performance of magnesium-air batteries.In this work,four complexing agents:citric acid(CIT),salicy...The addition of complexing agents to the electrolyte has been shown to be an effective method to enhance the discharge performance of magnesium-air batteries.In this work,four complexing agents:citric acid(CIT),salicylic acid(SAL),2,6-dihydroxybenzoic acid(2,6-DHB),and 5-sulfoisophthalic acid(5-sulfoSAL)were selected as potential candidates.Through electrochemical tests,full-cell discharge experiments,and physicochemical characterization,the impact of these complexing agents on the discharge performance of magnesium-air batteries using AZ31 alloy as the anode material was investigated.The results demonstrated that the four complexing agents increased the discharge voltage of the batteries.Notably,SAL could significantly improve the anodic efficiency and the discharge specific capacity,achieving an anodic efficiency of 60.3%and a specific capacity of 1358.3 mA·h/g at a discharge current density of 10 mA/cm^(2).展开更多
基金funding from the Shenzhen Fundamental Research Program(grant No.20231114170652002)the Key R&D Program of Shandong Province,China(grant No.2022SFGC0304)+2 种基金the Science and Technology Plan Project of Guizhou Province,China(grant No.2023190001)The authors also acknowledge the financial supports from the Geely-SUSTech Joint Advanced Biomass Gasification Technology Development Project(grant No.K2342Z221)the Shenzhen R&D Fund(grant No.KQTD20180411143418361).
文摘In this research, precise motion control and synchronized high-speed microscopic dual-wavelength interferometry were employed to investigate the impact of surface-active components on the rupture behavior of wetting films. The findings unveiled a novel mechanism for wetting film rupture at hydrophobic interfaces, propelled by gas migration towards the solid-liquid interface, resulting in the nucleation and growth of surface nanobubble. Salt ions accelerate film rupture by reducing electrostatic interactions and enhancing gas transfer, whereas surfactant adsorption immobilizes the gas-liquid interface through the Marangoni effect, thereby postponing rupture by impeding gas migration and surface nanobubble formation. Furthermore, surfactants influence the kinetics of three-phase contact line formation, where variations in molecular structure, solubility, and ionic properties contributing to differing levels of friction, and thereby affecting the overall dynamics of wetting films.
基金023 Zhejiang Provincial Department of Education General Project:Research on an interdisciplinary teaching model to promote the development of computational thinking in the context of the new curriculum standards[Grant NO:Y202351596]Key Project of Zhejiang Provincial Education Science Planning:Research on an interdisciplinary teaching model to promote students’computational thinking from multiple analytical perspectives[Grant NO:2025SB103].
文摘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.
基金Key Research project of Gansu Province of China(22YF7NA108)National Natural Science Foundation of China(31860549)+1 种基金Industry Supporting Project from Education Department of Gansu Province(2023CYZC-49)Major Science and Technology project of Gansu province(24ZDNA006)。
文摘【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.
文摘Nanolipid carriers and traditional emulsion containing chemical sunscreens were prepared using emulsification combined with ultrasonic technology.The nanolipid carriers showed superior performance in sunscreen encapsulation,slow release and skin impermeability,and provided an excellent nanolipid slow-release encapsulation system for sunscreens.As observed by transmission electron microscopy,the nanolipid carriers were spherical shape,with smooth surface and uniform distribution,and the particle sizes were mainly concentrated in the range of 230 to 250 nm without agglomeration.The nanolipid carriers significantly improved the sunscreen performance through the synergistic effect of scattering and chemical absorption,and showed better UV stability than traditional sunscreen,indicating their photoprotective function.In vitro release experiments showed that the nano-lipidic carriers exhibited better release control when loaded with octyl methoxycinnamate(OMC)and butylmethoxydibenzoylmethane(BDFM)sunscreens than traditional traditional emulsions,with the cumulative release rate of OMC in the nano-lipidic carriers decreasing by 17.17% to 30.24% within 12 hours,and that of BDFM decreasing by 26.67% to 44.67%.26.67% to 44.16%.The results of the in vitro permeation experiment further confirmed that the nanolipid carriers could effectively encapsulate the sunscreens and prevent them from penetrating the skin barrier,thus reducing the skin irritation.Compared with traditional traditional emulsion,the cumulative penetration of OMC in nanostructured lipid carriers was 2.24μg/cm^(2)in 4 hours,while the cumulative penetration was reduced by 68.05%.The cumulative penetration of BDFM in the nanostructured lipid carrier was 3.24μg/cm^(2),with a 64.04%reduction in cumulative penetration.
基金Supported by National Undergraduate Training Programs for Innovation and Entrepreneurship(202510580009)Special Project for Promoting the Coordinated Development of Urban and Rural Areas and Regions by Introducing Scientific and Technological Achievements of Guangdong Province into Counties and Towns(2025B0202010051)Project of High-quality Development in Hundred Counties,Thousands Towns and Ten Thousand Villages of Guangdong Provincial Department of Science and Technology:Key Dispatch Project for Rural Science and Technology Commissioners(KTP20240704).
文摘Given that the citrus psyllid is the primary vector of citrus Huanglongbing(HLB),there is an urgent need to control this pest to mitigate the spread of the disease.This paper reviews the current research on two predominant control strategies:chemical control and biological control agents,in managing the citrus psyllid.It emphasizes the mechanisms of action,efficacy,and application advancements of these control methods.Finally,the paper analyzes the principal challenges associated with the sustainable management of citrus psyllids and offers perspectives for future research.
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.
基金supported by the Deputyship for Research&Innovation,Ministry of Education in Saudi Arabia(Project No.MoE-IF-UJ-R2-22-04220773-1).
文摘Domain randomization is a widely adopted technique in deep reinforcement learning(DRL)to improve agent generalization by exposing policies to diverse environmental conditions.This paper investigates the impact of different reset strategies,normal,non-randomized,and randomized,on agent performance using the Deep Deterministic Policy Gradient(DDPG)and Twin Delayed DDPG(TD3)algorithms within the CarRacing-v2 environment.Two experimental setups were conducted:an extended training regime with DDPG for 1000 steps per episode across 1000 episodes,and a fast execution setup comparing DDPG and TD3 for 30 episodes with 50 steps per episode under constrained computational resources.A step-based reward scaling mechanism was applied under the randomized reset condition to promote broader state exploration.Experimental results showthat randomized resets significantly enhance learning efficiency and generalization,with DDPG demonstrating superior performance across all reset strategies.In particular,DDPG combined with randomized resets achieves the highest smoothed rewards(reaching approximately 15),best stability,and fastest convergence.These differences are statistically significant,as confirmed by t-tests:DDPG outperforms TD3 under randomized(t=−101.91,p<0.0001),normal(t=−21.59,p<0.0001),and non-randomized(t=−62.46,p<0.0001)reset conditions.The findings underscore the critical role of reset strategy and reward shaping in enhancing the robustness and adaptability of DRL agents in continuous control tasks,particularly in environments where computational efficiency and training stability are crucial.
文摘Clinical pharmacy is on the cusp of exponential change powered by artificial intelligence agents,automation,data analytics,and robotics.Blockchain will enhance data integrity and transparency,and Augmented and Virtual Reality technologies will revolutionise training,patient education,and simulation-based care planning.Clinical pharmacists need to be ready and upskill to prepare for emerging technologies.The ethical,regulatory,and educational frameworks surrounding artificial intelligence and precision medicine will require constant attention,but the potential benefits for patient outcomes are unprecedented.Clinical pharmacists are in a prime position to design a new era in precision medicine,where technology works hand in hand with humans to transform healthcare.
基金supported in part by the National Natural Science Foundation of China under Grant Nos.62472398 and U2336206.
文摘Steganography is a technology that discreetly embeds secret information into the redundant space of a carrier,enabling covert communication.As generative models continue to advance,steganography has evolved from traditional modification-based methods to generative steganography,which includes generative linguistic and image based forms.However,while large model agents are rapidly emerging,no method has exploited the stable redundant space in their action processes.Inspired by this insightful observation,we propose a steganographic method leveraging large model agents,employing their actions to conceal secret messages.In this paper,we introduce StegoAgent,a generative steganography framework based on graphical user interface(GUI)agents,which effectively demonstrates the remarkable potential and effectiveness of large model agent-based steganographic methods.
基金supported by the Scientific Research Project funded by the Qingdao Postdoctoral Science Foundation(No.QDBSH20230102075)the China Postdoctoral Science Foundation(No.2023M733337)the National Natural Science Foundation of China(No.U2141251).
文摘All maritime industries are plagued by marine biofouling pollution,which causes large economic and environmental costs.Therefore,there is an urgent need for ecofriendly alternatives that can effectively reduce the negative consequences of biofouling pollution.This study aimed to produce novel capsaicin-inspired amide derivatives(CIADs)with multifunctional antifouling features by introducing amide compounds to aromatic compounds via a Friedel-Crafts alkylation reaction.The structure of the CIADs was characterized using FTIR,1H NMR,13C NMR,and HRMS,and the comprehensive antifouling capacity was determined by thermal stability,anti-ultraviolet,antibacterial,anti-algal,and marine field experiments.CIADs showed good thermal stability and did not show obvious weight loss before 226°C.2,4-dihydroxy-3,5-diphenylimidemet-hylbenzophenone(DDB)had an excellent ultraviolet absorption effect,which was even better than that of 2-hydroxy-4-(octyloxy)benzophenone.The antibacterial and anti-algal rates of N-(2,4-dimethyl-3-chloro-5-benzamide-methyl-6-hydroxybenzyl)benzamide(NDCBHB)were more than 99.5%and 64.0%,respectively,and the surface of antifouling coating with NDCBHB(NDCBHB-AC)was covered with only a small amount of sludge and biofilm,its antifouling effect was better than that of chlorothalonil.The above work provides a reference for preparing green and multifunctional antifouling agents.
基金supported by the specialized fund project for the fundamental research operation of central-level public welfare scientific research institutes,titled“Research on the International Standards System Construction and Updates in the Field of Fire Protection(Project No.2023SJ09)”.
文摘This paper discusses the importance of standards in the fire extinguishing agent industry,and highlights the vital role of the standards in promoting technological innovation.China’s standards for fire extinguishing agent products have evolved significantly,aligning with industrial development,market demands,regulatory requirements,to respond to the great impact of international competition in the industry.The paper analyzes the current state of China’s standards,including their composition and integration with industry growth,green development strategies,and international harmonization.Future development strategies for the standards framework should focus on valid period estimation,fire test model development,and raw material selection guidelines.By implementing these strategies,China’s fire protection industry can enhance product quality,contribute to public safety,and maintain a competitive edge in the global market.
文摘The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior using deep learning methods and ensuring interpretability of decisions.A four-module architecture is proposed:log collection and aggregation,behavioral feature generation,analysis using the Long Short-Term Memory(LSTM)+Attention model,and an interpretation module.A hybrid approach is used that combines log processing,temporal neural networks and an attention mechanism to identify significant actions in the behavioral chain.Testing was conducted on the Computer Emergency Response Team(CERT)and the Australian Defence Force Academy Linux Dataset(ADFA-LD)datasets.The developed system demonstrated high accuracy rates(ROC-AUC>0.95),as well as superiority over classical and modern models(Logistic Regression,Random Forest,and Autoencoder).The attention mechanism ensured interpretability:it became possible to visually determine which user actions caused the alarm.A method for preparing logs and forming training samples is proposed.The intelligent agent can be integrated into corporate Security Information and Event Management(SIEM)/User and Entity Behavior Analytics(UEBA)systems,used in monitoring centers and applied in educational practice.Scientific novelty is manifested in the architecture,the use of attention in logs and interpretable behavior analysis in real time.
基金supported by the National Natural Science Foundation of China(NSFC)Youth Project(No.82204397).
文摘Natural products are the important sources in cardiovascular drug development.In this study,twenty-nine buthutin derivatives were designed,synthesized,and evaluated for their NHE-1 inhibition and protective effects on cardiomyo-cyte injury.The structure of the newly synthesized compounds had been confirmed by 1H-NMR,13C-NMR,and HR-ESI-MS spectra.Among all target compounds at 1μM,compounds 9d,9f,9k,9m,and 9n,with a protection ratio exceeding 30%,exerted stronger protective effects on H9c2 cardiomyocyte than positive control dexrazoxane and buthutin A.Meanwhile,compounds 9k,9m,and 9o showed the significant NHE-1 inhibitory activities on H9c2 cardiomyocyte,all with a dpHi/min value less than 0.23.What is more,compounds 9k,9m,9o and buthutin A all exhibited the specificity on NHE-1 inhibition.Molecular modelling studies suggested the ability of compounds 9m and 9o to establish interactions with three hydrogen bonds to Asp267 and Glu346 of NHE-1,but also the ability with much lower CDOCKER energies than positive control cariporide and buthutin A.The structure-activity relationship(SAR)studies suggested that the presences of amide group,four-carbon linker,and para hydroxyl benzene ring were advantageous pharmacophores for above two pharmacological actions.This research would open new avenues for developing amide-guanidine-based cardioprotective agents.
基金supported by the 8th AstraZeneca-KHIDI(Korea Health Industry Development Institute)oncology research programa research grant was supported by AstraZeneca and by Grant No.02-2022-0020 from the Seoul National University Hospital(SNUBH)Research Fund.
文摘Objectives:SLFN11(Schlafen-11)enhances sensitivity to DNA-damaging agents(DDAs)and DNA damage response(DDR)inhibitors in various cancer types.However,its function in pancreatic cancer(PC)remains largely unknown.This research aims to investigate the expression patterns of SLFN11 and other SLFN family members in PC and their correlation with drug sensitivity.Methods:SLFN11 expression and genetic alterations were analyzed using publicly available datasets(TCGA and GTEx).Functional studies,including cell cycle,apoptosis assays,and proliferation assays,were performed in SLFN11-knockdown and SLFN11-knockout(KO)PC cells.The relationship between SLFN11 expression and drug responsiveness was assessed via the CellMiner Cross-Database.Results:Analysis of multiple public datasets demonstrated that elevated SLFN11 expression is significantly linked with poor survival outcomes in PC,supporting its function as a predictive marker.Functional assays in PC cell lines demonstrated that SLFN11 knockdown disrupted G1 phase progression and increased apoptosis,indicating its involvement in tumor cell survival.Moreover,while elevated SLFN11 expression correlated with improved sensitivity to gemcitabine in some cell lines,CRISPR/Cas9-mediated SLFN11 knockout resulted in notable gemcitabine resistance.Importantly,this resistance was partially reversed when gemcitabine was combined with cisplatin and DDR inhibitors(Poly(ADP-ribose)polymerase(PARP),ataxia telangiectasia and Rad3 related(ATR),and Wee1 inhibitors),suggesting that SLFN11 modulates the reaction to both DNA-damaging agents and DDR-targeted therapies.Conclusion:Our findings indicate that SLFN11 plays a dual role in PC:as a prognostic marker,with high expression linked to poor clinical outcomes,and as a predictor of drug sensitivity,where its presence is associated with increased gemcitabine efficacy.However,the development of chemoresistance upon SLFN11 loss(and its partial reversal by DDR inhibitors)highlights the complexity of its function.These results underscore that SLFN11 expression alone may not fully determine gemcitabine response,and additional factors are likely involved.Further clinical validation is therefore essential to establish SLFN11 as a reliable biomarker for guiding DDR-targeted therapeutic strategies in PC.
基金funding this work through the Large Research Group Project under grant number RGP.02/513/45.
文摘Acquired immune deficiency syndrome(AIDS)is the name used to describe several potentially life-threatening infections and disorders that happen when HIV has severely compromised the immune system.The primary effect of HIV is to decrease host immunity,exposing the host to external pathogens.The development of pharmaceutical drugs that directly cure the infection is crucial because of the current wide-ranging epidemic of HIV.Most therapeutic anti-HIV drugs are nucleosides.However,their high toxicity and potential for drug resistance restrict their use.Many of the most effective clinical drugs used to inhibit HIV,the activation of latent HIV,and AIDS have been obtained from natural sources.This review focuses on potential natural medicinal products for treating and managing HIV and AIDS.Notwithstanding,further clinical research studies are needed to understand the subject and its dynamics.
文摘Four different types of film-forming agents were added to the foundation formulations,and their effects on the makeup-holding properties of the foundations on human facial skin were determined by Visia-CR.The study showed that there was a significant difference between the sample group with film-forming agent and the blank control group,indicating that the addition of film-forming agent had an effect on the makeup-holding performance of the foundation;the makeup-holding effect of the foundation formulated with trimethylsiloxysilicate or(acrylates/dimethicone copolymer,cyclopentasiloxane)was better than that of the foundation formulated with polymethylsilsesquioxane or VP/hexadecene copolymer.This experiment is of guidance significance for the formulation design of long-lasting foundation.
基金supported by the National Natural Science Foundation of China(No.52001015)the Urban Carbon Neutral Science Innovation Foundation of Beijing University of Technology,China(No.053000514124601)the Science and Technology Program of Beijing Municipal Education Commission,China(No.KM201810005007).
文摘The addition of complexing agents to the electrolyte has been shown to be an effective method to enhance the discharge performance of magnesium-air batteries.In this work,four complexing agents:citric acid(CIT),salicylic acid(SAL),2,6-dihydroxybenzoic acid(2,6-DHB),and 5-sulfoisophthalic acid(5-sulfoSAL)were selected as potential candidates.Through electrochemical tests,full-cell discharge experiments,and physicochemical characterization,the impact of these complexing agents on the discharge performance of magnesium-air batteries using AZ31 alloy as the anode material was investigated.The results demonstrated that the four complexing agents increased the discharge voltage of the batteries.Notably,SAL could significantly improve the anodic efficiency and the discharge specific capacity,achieving an anodic efficiency of 60.3%and a specific capacity of 1358.3 mA·h/g at a discharge current density of 10 mA/cm^(2).
