Ribavirin has been used in urgency to treat SARS patients recently.In order to study its antiviral mechanism by photolabeling approach,we have synthesized and characterized 5-azido-1-β-D-ribofuranosyl-1,2,4-triazole-...Ribavirin has been used in urgency to treat SARS patients recently.In order to study its antiviral mechanism by photolabeling approach,we have synthesized and characterized 5-azido-1-β-D-ribofuranosyl-1,2,4-triazole-3-carboxiamide 1 as a photolabeling probe of ribavirin.The azidotriazole nucleoside showed rapid and clean photochemical reaction,suggesting that l is a promising probe to study the antiviral mechanism of ribarivin by photolabeling.展开更多
Self-assembly is a powerful approach in molecular engineering for biomedical applications,in particu-lar for creating self-assembling prodrugs.Here,we report a self-assembling prodrug of the anticancer drug gemcitabin...Self-assembly is a powerful approach in molecular engineering for biomedical applications,in particu-lar for creating self-assembling prodrugs.Here,we report a self-assembling prodrug of the anticancer drug gemcitabine(Gem)based on amphiphilic dendrimer approach.The prodrug reported in this study demonstrates high drug loading(40%)and robust ability to self-assemble into small nanomicelles,which increase the metabolic stability of Gem and enable entry into cells via endocytosis,hence bypassing transport-mediated uptake.In addition,this prodrug nanosystem exhibited an effective pH-and enzyme-responsive release of Gem,resulting in enhanced anticancer activity and reduced toxicity.Harboring ad-vantageous features of both prodrug-and nanotechnology-based drug delivery,this self-assembling Gem prodrug nanosystem constitutes a promising anticancer candidate.This study also offers new perspectives of the amphiphilic dendrimer nanoplatforms for the development of self-assembling prodrugs.展开更多
With the rapid development of artificial intelligence(AI)technology,the teaching mode in the field of education is undergoing profound changes.Especially the design and implementation of personalized learning paths ha...With the rapid development of artificial intelligence(AI)technology,the teaching mode in the field of education is undergoing profound changes.Especially the design and implementation of personalized learning paths have become an important direction of intelligent teaching reform.The traditional“one-size-fits-all”teaching model has gradually failed to meet the individualized learning needs of students.However,through the advantages of data analysis and real-time feedback,AI technology can provide tailor-made teaching content and learning paths based on students’learning progress,interests,and abilities.This study explores the innovation of the personalized learning path model based on AI technology,and analyzes the potential and challenges of this model in improving teaching effectiveness,promoting the all-round development of students,and optimizing the interaction between teachers and students.Through case analysis and empirical research,this paper summarizes the implementation methods of the AI-driven personalized learning path,the innovation of teaching models,and their application prospects in educational reform.Meanwhile,the research also discussed the ethical issues of AI technology in education,data privacy protection,and its impact on the teacher-student relationship,and proposed corresponding solutions.展开更多
Enhancing Autonomous Decision-Making (ADM) for unmanned combat aerial vehicle formations in beyond-visual-range air combat is pivotal for future battlefields, whereas the predominant reinforcement learning technique f...Enhancing Autonomous Decision-Making (ADM) for unmanned combat aerial vehicle formations in beyond-visual-range air combat is pivotal for future battlefields, whereas the predominant reinforcement learning technique for ADM has been proven to be inadequately fitting complex tactical Unit Coordination (UC), limiting the integrity of decision-making for formations. This study proposes a knowledge-enhanced ADM method, with a focus on UC, to elevate formation combat effectiveness. The main innovation is integrating data mining technique with tactical knowledge mining and integration. Foremost, based on Frequent Event Arrangement Mining (FEAM) theory, a cross-channel UC knowledge mining method is designed by introducing data flow, which is capable of capturing dynamic coordinative action sequences. Then, a dual-mode knowledge integration method is proposed by employing the Graph Attention Network (GAT) and attenuated structural similarity, bolstering the interplay between autonomous UC tactics fitting and knowledge injection. The experimental results demonstrate that the algorithm surpasses the existing methods, providing more strategic maneuver trajectories and a win rate of more than 90% in different scenarios. The method is promising to augment the autonomous operational capabilities of unmanned formations and drive the evolution of combat effectiveness.展开更多
Seismic source locations can characterize the spatial and temporal distributions of seismic sources,and can provide important basic data for earthquake disaster monitoring,fault activity characterization,and fracture ...Seismic source locations can characterize the spatial and temporal distributions of seismic sources,and can provide important basic data for earthquake disaster monitoring,fault activity characterization,and fracture growth interpretation.Waveform stacking-based location methods invert the source locations by focusing the source energy with multichannel waveforms,and these methods exhibit a high level of automation and noise-resistance.Taking the cross-correlation stacking(CCS)method as an example,this work attempts to study the influential factors of waveform stacking-based methods,and introduces a comprehensive performance evaluation scheme based on multiple parameters and indicators.The waveform data are from field monitoring of induced microseismicity in the Changning region(southern Sichuan Basin of China).Synthetic and field data tests reveal the impacts of three categories of factors on waveform stacking-based location:velocity model,monitoring array,and waveform complexity.The location performance is evaluated and further improved in terms of the source imaging resolution and location error.Denser array monitoring contributes to better constraining source depth and location reliability,but the combined impact of multiple factors,such as velocity model uncertainty and multiple seismic phases,increases the complexity of locating field microseismic events.Finally,the aspects of location uncertainty,phase detection,and artificial intelligencebased location are discussed.展开更多
Under the dual impetus of the fundamental task of“cultivating virtue and nurturing talent”and the national strategy of digitalizing education,promoting the deep integration of ideological and political education in ...Under the dual impetus of the fundamental task of“cultivating virtue and nurturing talent”and the national strategy of digitalizing education,promoting the deep integration of ideological and political education in courses with digital technology has become a core issue in the curriculum reform of colleges and universities.This paper takes the course“Business Model Innovation”as the research object and focuses on the problems existing in the current course,such as lagging content update,superficial application of digital tools,and weakening elements of ideological and political education.This paper proposes a teaching reform path that is supported by digital means and centered on value guidance,and focuses on how to systematically optimize teaching content design,interactive teaching scenarios,evaluation and feedback mechanisms,and teacher collaboration systems through specific tools such as“Rain Classroom,”“Enterprise Sand Table,”and“Smart Classroom Platform.”We aim to build a digital model of ideological and political education in the curriculum that integrates knowledge imparting,ability training,and value shaping,and to provide practical reference and path support for the cultivation of high-quality business talents in the new era.展开更多
Applied undergraduate universities are an important component of China’s higher education system,aimed at cultivating applied and versatile talents.Their adherence to the integration of industry and education and the...Applied undergraduate universities are an important component of China’s higher education system,aimed at cultivating applied and versatile talents.Their adherence to the integration of industry and education and the coordinated innovation of ideological and political education is not only a strategic choice to respond to the fundamental task of national moral education,but also a key path to solving the talent paradox of“strong skills,weak literacy.”This article is based on the current situation of the integration of industry and education and the development of ideological and political education in application-oriented undergraduate universities.It deeply analyzes the collaborative mechanism and practical difficulties between the two in terms of goals,processes,and resources.It innovatively proposes a strategy for the coordinated development of ideological and political education in application-oriented undergraduate universities under the background of industry-education integration,which has important practical significance for achieving the organic unity of the education chain,industry chain,and talent chain of application-oriented universities.展开更多
With the rapid development of artificial intelligence(AI)technology,its application in higher education has gradually shifted from traditional teaching aids to deeper levels of interactive learning and emotional conne...With the rapid development of artificial intelligence(AI)technology,its application in higher education has gradually shifted from traditional teaching aids to deeper levels of interactive learning and emotional connection support.AI can enhance teaching efficiency,personalized learning,and real-time feedback;however,in areas such as emotional communication and teacher-student interaction,AI still cannot fully replace the role of teachers.This study aims to explore the transformation of teacher-student relationships in the era of AI,analyze the impact of AI technology on teaching interaction,emotional support,and teacher-student trust,and propose strategies to address these challenges.The research findings indicate that while AI has significant advantages in improving educational efficiency,it has limitations in interpersonal emotional support and the transformation of the teacher’s role.To ensure the comprehensiveness and humanization of education,educators should strengthen emotional care and improve students’emotional literacy in the use of AI,and implement transparent data management and privacy protection measures to enhance teacher-student trust.The study also suggests that by enhancing teacher-student trust,strengthening emotional support,and increasing transparency,educators can effectively address the challenges of teacher-student relationships in the AI era.This research provides theoretical support and practical guidance for the integration of AI technology with educational humanistic care,promoting more comprehensive,personalized,and humane educational development.展开更多
With the rapid popularization of artificial intelligence technology in the field of higher education,college students are increasingly dependent on AI tools such as ChatGPT,automatic writing assistants,and intelligent...With the rapid popularization of artificial intelligence technology in the field of higher education,college students are increasingly dependent on AI tools such as ChatGPT,automatic writing assistants,and intelligent translators.Behind the convenience and efficiency,a decline trend in students’core learning abilities such as autonomous learning ability,critical thinking ability,and knowledge construction ability has gradually emerged.This study aims to explore the interactive logical mechanism between college students’reliance on AI tools and the weakening of their learning abilities,and on this basis,propose practical and feasible educational intervention strategies.Research has found that while AI tools lower the learning threshold,they also weaken students’cognitive investment and independent thinking abilities,further intensifying their reliance on technology.In this regard,this paper proposes a three-dimensional intervention path based on guided usage,ability compensation,and value reconstruction to achieve the collaborative improvement of students’technical usage ability and learning ability.This research has certain theoretical value and practical enlightenment significance for solving the structural predicament of higher education in the intelligent era.展开更多
This work uses advanced remote sensing to precisely extract hydrological information,supporting transmission network planning.High-resolution water body mapping lets designers optimize routes to avoid ecologically sen...This work uses advanced remote sensing to precisely extract hydrological information,supporting transmission network planning.High-resolution water body mapping lets designers optimize routes to avoid ecologically sensitive areas,achieving environmental protection,cost efficiency,and enhanced operational safety.The methodology provides a scalable,replicable framework for intelligent obstacle avoidance in power grid development,applicable to other regions and sectors with similar planning needs.展开更多
基金Financial support from Wuhan University,Cheung Kong Scholar Foundation and the CNRS is gratefully acknowledged
文摘Ribavirin has been used in urgency to treat SARS patients recently.In order to study its antiviral mechanism by photolabeling approach,we have synthesized and characterized 5-azido-1-β-D-ribofuranosyl-1,2,4-triazole-3-carboxiamide 1 as a photolabeling probe of ribavirin.The azidotriazole nucleoside showed rapid and clean photochemical reaction,suggesting that l is a promising probe to study the antiviral mechanism of ribarivin by photolabeling.
基金Financial support was from the National Natural Science Foundation of China (Nos. 81903567, 31600109)Henan Programs for Science and Technology Development (No. 182102310221)+2 种基金Xinxiang Innovative Technology Team (No. CXTD17004)the PhD startup fund of Xinxiang Medical University (No. 505158)the Ligue Nationale Contre le Cancer
文摘Self-assembly is a powerful approach in molecular engineering for biomedical applications,in particu-lar for creating self-assembling prodrugs.Here,we report a self-assembling prodrug of the anticancer drug gemcitabine(Gem)based on amphiphilic dendrimer approach.The prodrug reported in this study demonstrates high drug loading(40%)and robust ability to self-assemble into small nanomicelles,which increase the metabolic stability of Gem and enable entry into cells via endocytosis,hence bypassing transport-mediated uptake.In addition,this prodrug nanosystem exhibited an effective pH-and enzyme-responsive release of Gem,resulting in enhanced anticancer activity and reduced toxicity.Harboring ad-vantageous features of both prodrug-and nanotechnology-based drug delivery,this self-assembling Gem prodrug nanosystem constitutes a promising anticancer candidate.This study also offers new perspectives of the amphiphilic dendrimer nanoplatforms for the development of self-assembling prodrugs.
基金The 2024 Guangdong University of Science and Technology Teaching,Science and Innovation Project(GKJXXZ2024028)。
文摘With the rapid development of artificial intelligence(AI)technology,the teaching mode in the field of education is undergoing profound changes.Especially the design and implementation of personalized learning paths have become an important direction of intelligent teaching reform.The traditional“one-size-fits-all”teaching model has gradually failed to meet the individualized learning needs of students.However,through the advantages of data analysis and real-time feedback,AI technology can provide tailor-made teaching content and learning paths based on students’learning progress,interests,and abilities.This study explores the innovation of the personalized learning path model based on AI technology,and analyzes the potential and challenges of this model in improving teaching effectiveness,promoting the all-round development of students,and optimizing the interaction between teachers and students.Through case analysis and empirical research,this paper summarizes the implementation methods of the AI-driven personalized learning path,the innovation of teaching models,and their application prospects in educational reform.Meanwhile,the research also discussed the ethical issues of AI technology in education,data privacy protection,and its impact on the teacher-student relationship,and proposed corresponding solutions.
文摘Enhancing Autonomous Decision-Making (ADM) for unmanned combat aerial vehicle formations in beyond-visual-range air combat is pivotal for future battlefields, whereas the predominant reinforcement learning technique for ADM has been proven to be inadequately fitting complex tactical Unit Coordination (UC), limiting the integrity of decision-making for formations. This study proposes a knowledge-enhanced ADM method, with a focus on UC, to elevate formation combat effectiveness. The main innovation is integrating data mining technique with tactical knowledge mining and integration. Foremost, based on Frequent Event Arrangement Mining (FEAM) theory, a cross-channel UC knowledge mining method is designed by introducing data flow, which is capable of capturing dynamic coordinative action sequences. Then, a dual-mode knowledge integration method is proposed by employing the Graph Attention Network (GAT) and attenuated structural similarity, bolstering the interplay between autonomous UC tactics fitting and knowledge injection. The experimental results demonstrate that the algorithm surpasses the existing methods, providing more strategic maneuver trajectories and a win rate of more than 90% in different scenarios. The method is promising to augment the autonomous operational capabilities of unmanned formations and drive the evolution of combat effectiveness.
基金supported by National Natural Science Foundation of China(Nos.42374076,42174128 and 42004115)Natural Science Foundation for Excellent Young Scholars of Hunan Province,China(No.2022JJ 20057)+1 种基金Central South University Innovation-Driven Research Programme(No.2023CXQD063)the Guangdong Provincial Key Laboratory of Geophysical High-resolution Imaging Technology(No.2022B1212010002).
文摘Seismic source locations can characterize the spatial and temporal distributions of seismic sources,and can provide important basic data for earthquake disaster monitoring,fault activity characterization,and fracture growth interpretation.Waveform stacking-based location methods invert the source locations by focusing the source energy with multichannel waveforms,and these methods exhibit a high level of automation and noise-resistance.Taking the cross-correlation stacking(CCS)method as an example,this work attempts to study the influential factors of waveform stacking-based methods,and introduces a comprehensive performance evaluation scheme based on multiple parameters and indicators.The waveform data are from field monitoring of induced microseismicity in the Changning region(southern Sichuan Basin of China).Synthetic and field data tests reveal the impacts of three categories of factors on waveform stacking-based location:velocity model,monitoring array,and waveform complexity.The location performance is evaluated and further improved in terms of the source imaging resolution and location error.Denser array monitoring contributes to better constraining source depth and location reliability,but the combined impact of multiple factors,such as velocity model uncertainty and multiple seismic phases,increases the complexity of locating field microseismic events.Finally,the aspects of location uncertainty,phase detection,and artificial intelligencebased location are discussed.
基金The 2024 Higher Education Teaching Reform Project of Guangdong University of Science and Technology“Teaching Practice of Human Resource Management Course Based on SPOC+FC Hybrid Teaching Mode”(GKZLGC2024024)。
文摘Under the dual impetus of the fundamental task of“cultivating virtue and nurturing talent”and the national strategy of digitalizing education,promoting the deep integration of ideological and political education in courses with digital technology has become a core issue in the curriculum reform of colleges and universities.This paper takes the course“Business Model Innovation”as the research object and focuses on the problems existing in the current course,such as lagging content update,superficial application of digital tools,and weakening elements of ideological and political education.This paper proposes a teaching reform path that is supported by digital means and centered on value guidance,and focuses on how to systematically optimize teaching content design,interactive teaching scenarios,evaluation and feedback mechanisms,and teacher collaboration systems through specific tools such as“Rain Classroom,”“Enterprise Sand Table,”and“Smart Classroom Platform.”We aim to build a digital model of ideological and political education in the curriculum that integrates knowledge imparting,ability training,and value shaping,and to provide practical reference and path support for the cultivation of high-quality business talents in the new era.
基金The 2023 Guangdong University of Science and Technology Teaching,Science and Technology Innovation,Teaching and Learning Enhancement Project Team(GKJXXZ2023018)。
文摘Applied undergraduate universities are an important component of China’s higher education system,aimed at cultivating applied and versatile talents.Their adherence to the integration of industry and education and the coordinated innovation of ideological and political education is not only a strategic choice to respond to the fundamental task of national moral education,but also a key path to solving the talent paradox of“strong skills,weak literacy.”This article is based on the current situation of the integration of industry and education and the development of ideological and political education in application-oriented undergraduate universities.It deeply analyzes the collaborative mechanism and practical difficulties between the two in terms of goals,processes,and resources.It innovatively proposes a strategy for the coordinated development of ideological and political education in application-oriented undergraduate universities under the background of industry-education integration,which has important practical significance for achieving the organic unity of the education chain,industry chain,and talent chain of application-oriented universities.
基金The 2024 Higher Education Teaching Reform Project of Guangdong University of Science and Technology,“Teaching Practice of Human Resource Management Course Based on SPOC+FC Hybrid Teaching Mode”(GKZLGC2024024)。
文摘With the rapid development of artificial intelligence(AI)technology,its application in higher education has gradually shifted from traditional teaching aids to deeper levels of interactive learning and emotional connection support.AI can enhance teaching efficiency,personalized learning,and real-time feedback;however,in areas such as emotional communication and teacher-student interaction,AI still cannot fully replace the role of teachers.This study aims to explore the transformation of teacher-student relationships in the era of AI,analyze the impact of AI technology on teaching interaction,emotional support,and teacher-student trust,and propose strategies to address these challenges.The research findings indicate that while AI has significant advantages in improving educational efficiency,it has limitations in interpersonal emotional support and the transformation of the teacher’s role.To ensure the comprehensiveness and humanization of education,educators should strengthen emotional care and improve students’emotional literacy in the use of AI,and implement transparent data management and privacy protection measures to enhance teacher-student trust.The study also suggests that by enhancing teacher-student trust,strengthening emotional support,and increasing transparency,educators can effectively address the challenges of teacher-student relationships in the AI era.This research provides theoretical support and practical guidance for the integration of AI technology with educational humanistic care,promoting more comprehensive,personalized,and humane educational development.
基金The 2024 Higher Education Teaching Reform Project of Guangdong University of Science and Technology,“Teaching Practice of Human Resource Management Course Based on SPOC+FC Hybrid Teaching Mode”(GKZLGC2024024)。
文摘With the rapid popularization of artificial intelligence technology in the field of higher education,college students are increasingly dependent on AI tools such as ChatGPT,automatic writing assistants,and intelligent translators.Behind the convenience and efficiency,a decline trend in students’core learning abilities such as autonomous learning ability,critical thinking ability,and knowledge construction ability has gradually emerged.This study aims to explore the interactive logical mechanism between college students’reliance on AI tools and the weakening of their learning abilities,and on this basis,propose practical and feasible educational intervention strategies.Research has found that while AI tools lower the learning threshold,they also weaken students’cognitive investment and independent thinking abilities,further intensifying their reliance on technology.In this regard,this paper proposes a three-dimensional intervention path based on guided usage,ability compensation,and value reconstruction to achieve the collaborative improvement of students’technical usage ability and learning ability.This research has certain theoretical value and practical enlightenment significance for solving the structural predicament of higher education in the intelligent era.
基金The State Grid Independent Research and Development Project(Project No.:CY1124SHF02)National Natural Science Foundation of China(Project No.:52320105003)the Fundamental Research Funds for the Central Universities(Project No.:E3ET1803)。
文摘This work uses advanced remote sensing to precisely extract hydrological information,supporting transmission network planning.High-resolution water body mapping lets designers optimize routes to avoid ecologically sensitive areas,achieving environmental protection,cost efficiency,and enhanced operational safety.The methodology provides a scalable,replicable framework for intelligent obstacle avoidance in power grid development,applicable to other regions and sectors with similar planning needs.
