To solve the identification and comprehension problem of crosscutting concerns in existing legacy software system, a framework of aspect-oriented software reveme engineering is proposed. An approach on re-modularizing...To solve the identification and comprehension problem of crosscutting concerns in existing legacy software system, a framework of aspect-oriented software reveme engineering is proposed. An approach on re-modularizing traversal features of legacy system is presented based on various unified modeling language （UML） diagrams. While modeling crosscutting concerns in UML use case diagrams, the non-functional requirements that affect several use case modules can be enveloped into aspect modules with a stereotype mechanism. The recurring message transmission patterns can be re-modularized as aspects in UML sequence diagrams with UML collaborations. Standard UML activity diagram notations are extended and modified by node fusion and addition, which support the graphical composition operation between crosscutting behaviors and primary business roles of concurrent systems. Case study indicates that travernal features of software system can be extracted and re-modularized from various perspectives in aspect-oriented reverse engineering, which improves comprehensibility and maintainability of legacy systems.展开更多
To avoid the complexity and inefficiency for specific applications of the current software architecture, a novel approach using partial evaluation is proposed to improve the running performance of components. The gene...To avoid the complexity and inefficiency for specific applications of the current software architecture, a novel approach using partial evaluation is proposed to improve the running performance of components. The generic program was specialized into domain-specific realization for the known knowledge and environments. The syntax and semantic(adj.) were analyzed based on byte code instruction sequences, and partial evaluation rules depicted how to perform the specialization. The partial evaluation for object-oriented programs was implemented. The experimental results show that partial evaluation is effective to speed up the running efficiency. The more generality and scalability can be obtained by the integration of partial evaluation with the favorable design mechanisms and compiler optimization technology.展开更多
Software engineering(SE) courses are confronted with predicaments how to cultivate students' engineering concept and how to abridge the distance between the academy and industry.The "Computing and Software En...Software engineering(SE) courses are confronted with predicaments how to cultivate students' engineering concept and how to abridge the distance between the academy and industry.The "Computing and Software Engineering,III(CSE III)" helps students mimic a real-world software development and broaden realworld SE view.With the spiral model as the main development model,the CSE III course includes not only the SE theory knowledge,but also quick learning,team cooperation,development management and risk management skills which meet the real-world industry requirements.Our contribution is providing an introductory course for multiple dimensions of knowledge,creating a real-world software development circumstance for students under quantitative control and designing a systematic and practical evaluation mechanism which stimulates the interests of students.CSE III has been executed from 2009 and obtains a valuable teaching and learning effects among our teachers,TAs and students;and we add refinements to the course according to feedbacks of participants.This paper will describe the design and practice of the CSE III course.展开更多
Activity is now playing a vital role in software processes. To ensure the high-level efficiency of software processes, a key point is to locate those activities that own bigger resource occupation probabilities with r...Activity is now playing a vital role in software processes. To ensure the high-level efficiency of software processes, a key point is to locate those activities that own bigger resource occupation probabilities with respect to average execution time, called delayed activities, and then improve them. To this end, we firstly propose an approach to locating delayed activities in software processes. Furthermore, we present a case study, which exhibits the high-level efficiency of the approach, to concretely illustrate this new solution. Some beneficial analysis and reasonable modification are developed in the end.展开更多
As the ability of a single agent is limited while information and resources in multi-agent systems are distributed, cooperation is necessary for agents to accomplish a complex task. In the open and changeable environm...As the ability of a single agent is limited while information and resources in multi-agent systems are distributed, cooperation is necessary for agents to accomplish a complex task. In the open and changeable environment on the Internet, it is of great significance to research a system flexible and capable in dynamic evolution that can find a collaboration method for agents which can be used in dynamic evolution process. With such a method, agents accomplish tasks for an overall target and at the same time, the collaborative relationship of agents can be adjusted with the change of environment. A method of task decomposition and collaboration of agents by improved contract net protocol is introduced. Finally, analysis on the result of the experiments is performed to verify the improved contract net protocol can greatly increase the efficiency of communication and collaboration in multi-agent system.展开更多
This comparative study examines cultural empathy strategies employed by two major international broadcasters-BBC(British Broadcasting Corporation)and CGTN(China Global Television Network)-in their efforts to balance l...This comparative study examines cultural empathy strategies employed by two major international broadcasters-BBC(British Broadcasting Corporation)and CGTN(China Global Television Network)-in their efforts to balance local emotional resonance with universal values in global communication.Through a mixed-methods approach combining content analysis of 2,400 news reports,interviews with 32 media professionals,and audience reception studies across 15 countries,this research investigates how international media organizations navigate the complex terrain of cross-cultural communication in an increasingly interconnected world.The findings reveal significant differences in empathy strategies:BBC employs a“universalist-localized”approach emphasizing shared human experiences while maintaining Western liberal values,achieving 67.3%cross-cultural resonance scores,while CGTN adopts a“particularist-global”strategy highlighting cultural diversity within a framework of mutual understanding,achieving 61.8%resonance scores.Both organizations face challenges in balancing authentic cultural representation with audience accessibility,managing 73.4%and 68.9%cultural authenticity ratings respectively.The study identifies five key empathy strategies:narrative localization,cultural bridging,emotional universalization,value harmonization,and contextual adaptation.Results indicate that successful cultural empathy requires sophisticated understanding of target audiences’cultural schemas while maintaining editorial authenticity.The research contributes to international communication theory by proposing a Cultural Empathy Framework(CEF)that explains how media organizations can effectively navigate the tension between local emotions and universal values in global broadcasting contexts.展开更多
This study investigates how artificial intelligence(AI)algorithms enable mainstream media to achieve precise emotional matching and improve communication efficiency through reconstructed communication logic.As digital...This study investigates how artificial intelligence(AI)algorithms enable mainstream media to achieve precise emotional matching and improve communication efficiency through reconstructed communication logic.As digital intelligence technology rapidly evolves,mainstream media organizations are increasingly leveraging AI-driven empathy algorithms to enhance audience engagement and optimize content delivery.This research employs a mixed-methods approach,combining quantitative analysis of algorithmic performance metrics with qualitative examination of media communication patterns.Through systematic review of 150 academic papers and analysis of data from 12 major media platforms,this study reveals that algorithmic empathy systems can improve emotional resonance by 34.7%and increase audience engagement by 28.3%compared to traditional communication methods.The findings demonstrate that AI algorithms reconstruct media communication logic through three primary pathways:emotional pattern recognition,personalized content curation,and real-time sentiment adaptation.However,the study also identifies significant challenges including algorithmic bias,emotional authenticity concerns,and ethical implications of automated empathy.The research contributes to understanding how mainstream media can leverage AI technology to build high-quality empathetic communication while maintaining journalistic integrity and social responsibility.展开更多
Understanding the photon number statistics of a quantum emitter(QE)interacting with complex photonic environments is fundamental to advances in quantum optics and nanophotonics.We introduce a general theoretical frame...Understanding the photon number statistics of a quantum emitter(QE)interacting with complex photonic environments is fundamental to advances in quantum optics and nanophotonics.We introduce a general theoretical framework for calculating the modal photon number density spectrum(MPNDS)in arbitrary dielectric structures with an embedded two-level QE.We validate our approach by investigating a system composed of a two-level QE and a photonic crystal(PhC)slab with an L3 cavity and a waveguide,finding that the MPNDS exhibits significant changes in both waveguide and background radiative channels as the interaction between the QE and modal field transitions from weak coupling to strong coupling.We observe that the number of photons guided along the waveguide shows a strong dependence on the QE’s transition frequency and transition dipole moment,but demonstrates robustness to the transition dipole moment when the transition frequency approaches the waveguide cutoff frequency.Our work allows for the determination and tailoring of light emission characteristics across diverse radiative channels in complex photonic environments.展开更多
This essay critically re-examines pedagogical authority in the age of artificial intelligence(AI)and hybrid learning.As AI technologies disrupt the traditional teacher-centered paradigm and hybrid formats dissolve spa...This essay critically re-examines pedagogical authority in the age of artificial intelligence(AI)and hybrid learning.As AI technologies disrupt the traditional teacher-centered paradigm and hybrid formats dissolve spatial hierarchies,educational authority becomes increasingly distributed and relational.The essay deconstructs conventional models rooted in institutional hierarchy and physical presence,advocating instead for an ethics-driven,dialogic,and technologically literate approach.Educators must transition from authoritative figures to facilitators of critical inquiry,capable of guiding students through algorithmic structures and promoting inclusive,participatory learning.By embracing relational authority and transparent pedagogical practices,higher education can reclaim its transformative and democratic potential in a post-AI landscape.展开更多
This essay critically re-examines pedagogical authority in the context of artificial intelligence(AI)and hybrid learning.As AI technologies disrupt the traditional teacher-centered model,and hybrid modalities challeng...This essay critically re-examines pedagogical authority in the context of artificial intelligence(AI)and hybrid learning.As AI technologies disrupt the traditional teacher-centered model,and hybrid modalities challenge spatial hierarchies,authority in education is increasingly dispersed and relational.The paper deconstructs historical structures of authority rooted in positional hierarchy and physical space,arguing instead for a model based on ethical mediation,dialogic engagement,and technological literacy.Educators must transform from content deliverers to facilitators of critical inquiry,guiding students through algorithmic complexity and fostering inclusive,participatory learning environments.By embracing relational authority and transparent practices,higher education can reclaim its democratic and transformative potential in the post-AI era.展开更多
This paper takes the green innovation in 15 science and technology parks in the Pearl River Delta region as a sample,uses the AHP-Fuzzy evaluation method to construct an index evaluation model with 5 first-level indic...This paper takes the green innovation in 15 science and technology parks in the Pearl River Delta region as a sample,uses the AHP-Fuzzy evaluation method to construct an index evaluation model with 5 first-level indicators and 9 secondlevel indicators,and analyzes the essential connotation and key influencing factors of green innovation ability in science and technology park.The research found that among the first-level indicators,“industrial innovation”,“incubator innovation”and“policy innovation”ranked among the top three key factors.Among the second-level indicators,the three factors of“enterprise incubator innovation”,“government policies and fiscal and financial policies”and“the development of new industries and emerging industries”have a significant impact on the innovation capabilities of science and technology parks.Accordingly,some suggested measures are put forward to provide theoretical and practical guidance for improving their green innovation ability.The main innovation of this paper is to construct an evaluation model of science and technology park suitable for the green innovation ability of science and technology park according to the social and economic development of the Pearl River Delta city belt and to test its effectiveness.In view of the technology,complexity,ambiguity and pluralism of the evaluation index construction of green innovation ability in science and technology parks in practice,the index evaluation model and application strategy in this paper hope to provide a theoretical reference for the park operators to improve their benefits and promote the development of regional industrial clusters.展开更多
Formation of intermetallic compounds （IMCs） during friction stir welding （FSW） of alu- minum/magnesium （AI/Mg） alloys easily results in the pin adhesion and then deteriorates joint formation. The severe pin adhe...Formation of intermetallic compounds （IMCs） during friction stir welding （FSW） of alu- minum/magnesium （AI/Mg） alloys easily results in the pin adhesion and then deteriorates joint formation. The severe pin adhesion transformed the tapered-and-screwed pin into a tapered pin at a low welding speed of 30 mm/min. The pin adhesion problem was solved with the help of ultrasonic. The weldability of Al/Mg alloys was significantly improved due to the good material flow induced by mechanical vibration and the fragments of the IMCs on the surface of a rotating pin caused by acoustic streaming, respectively. A sound joint with ultrasonic contained long Al/Mg interface joining length and complex mixture of AI/Mg alloys in the stir zone, thereby achieving perfect metallurgical bonding and mechanical interlocking. The ultrasonic could broaden process window and then improve tensile properties. The tensile strength of the Al/Mg joint with ultrasonic reached 115 MPa.展开更多
This paper focuses on understanding and evaluating the dynamic effect of the heavy-haul train system on the seismic performance of a long-span railway bridge. A systematic study on the effect of heavy-haul trains on b...This paper focuses on understanding and evaluating the dynamic effect of the heavy-haul train system on the seismic performance of a long-span railway bridge. A systematic study on the effect of heavy-haul trains on bridge seismic response has been conducted, considering the influence of vehicle modeling strategies and dynamic characteristics of the seismic waves. For this purpose, the performance of a long-span cable-stayed railway bridge is assessed with stationary trains atop it, where the heavy-haul vehicles are modeled in two different ways: the multi-rigid body model with suspension system and additional mass model. Comparison of the bridge response in the presence or absence of the train system has been conducted, and the vehicle loading situation, which includes full-load and no-load, is also discussed. The result shows that during the earthquake, the peak moment of the main girder and peak stress of stay cables increase by 80% and by 40% in the presence of fully loaded heavy-haul trains, respectively. At the same time, a considerable decrease appears in the peak acceleration of the main girder. This proves the existence of the damping effect of the heavy-haul train system, and this effect is more obvious for the fully loaded vehicles. Finally, this paper proposes an efficient vehicle modeling method with 2 degrees of freedom(DOF) for simplifying the treatment of the train system in bridge seismic checking.展开更多
In the present letter, we get the appropriate bilinear forms of （2 ＋ 1）-dimensional KdV equation, extended （2 ＋ 1）-dimensional shallow water wave equation and （2 ＋ 1）-dimensional Sawada -Kotera equation in a ...In the present letter, we get the appropriate bilinear forms of （2 ＋ 1）-dimensional KdV equation, extended （2 ＋ 1）-dimensional shallow water wave equation and （2 ＋ 1）-dimensional Sawada -Kotera equation in a quick and natural manner, namely by appling the binary Bell polynomials. Then the Hirota direct method and Riemann theta function are combined to construct the periodic wave solutions of the three types nonlinear evolution equations. And the corresponding figures of the periodic wave solutions are given. Furthermore, the asymptotic properties of the periodic wave solutions indicate that the soliton solutions can be derived from the periodic wave solutions.展开更多
In a growing number of information processing applications,data takes the form of continuous data streams rather than traditional stored databases.Monitoring systems that seek to provide monitoring services in cloud e...In a growing number of information processing applications,data takes the form of continuous data streams rather than traditional stored databases.Monitoring systems that seek to provide monitoring services in cloud environment must be prepared to deal gracefully with huge data collections without compromising system performance.In this paper,we show that by using a concept of urgent data,our system can shorten the response time for most 'urgent' queries while guarantee lower bandwidth consumption.We argue that monitoring data can be treated differently.Some data capture critical system events;the arrival of these data will significantly influence the monitoring reaction speed which is called urgent data.High speed urgent data collections can help system to react in real time when facing fatal errors.A cloud environment in production,MagicCube,is used as a test bed.Extensive experiments over both real world and synthetic traces show that when using urgent data,monitoring system can lower the response latency compared with existing monitoring approaches.展开更多
In order to pursue good crushing load uniformity and enchance energy absorption efficiency of conventional honeycombs, a kind of bio-inspired hierarchical honeycomb model is proposed by mimicking the arched crab shell...In order to pursue good crushing load uniformity and enchance energy absorption efficiency of conventional honeycombs, a kind of bio-inspired hierarchical honeycomb model is proposed by mimicking the arched crab shell structures. Three bio-inspired hierarchical honeycombs(BHHs) with different topologies are designed by replacing each vertex of square honeycombs with smaller arc-shaped structures. The effects of hierarchical topologies and multi-material layout on in-plane dynamic crushings and absorbed-energy capacities of the BHHs are explored based on the explicit finite element(FE) analysis.Different deformation modes can be observed from the BHHs, which mainly depend upon hierarchical topologies and impact velocities. According to energy efficiency method and one-dimensional(1D) shock theory, calculation formulas of densification strains and plateau stresses for the BHHs are derived to characterize the dynamic bearing capacity, which is consistent well with FE results. Compared with conventional honeycombs, the crushing load efficiency and energy absorption capacity of the BHHs can be improved by changing the proper hierarchical topology and multi-material layout. These researches will provide theoretical guidance for innovative design and dynamic response performance controllability of honeycombs.展开更多
By applying a direct symmetry method, we get the symmetry of the asymmetric Nizhnik-Novikov-Veselov equation （ANNV）. Taking the special case, we have a finite-dimensional symmetry. By using the equivalent vector of ...By applying a direct symmetry method, we get the symmetry of the asymmetric Nizhnik-Novikov-Veselov equation （ANNV）. Taking the special case, we have a finite-dimensional symmetry. By using the equivalent vector of the symmetry, we construct an eight-dimensional symmetry algebra and get the optimal system of group-invariant solutions. To every case of the optimal system, we reduce the ANNV equation and obtain some solutions to the reduced equations. Furthermore, we find some new explicit solutions of the ANNV equation. At last, we give the conservation laws of the ANNV equation.展开更多
Numerous models have been proposed to reduce the classification error of Naive Bayes by weakening its attribute independence assumption and some have demonstrated remarkable error performance. Considering that ensembl...Numerous models have been proposed to reduce the classification error of Naive Bayes by weakening its attribute independence assumption and some have demonstrated remarkable error performance. Considering that ensemble learning is an effective method of reducing the classifmation error of the classifier, this paper proposes a double-layer Bayesian classifier ensembles （DLBCE） algorithm based on frequent itemsets. DLBCE constructs a double-layer Bayesian classifier （DLBC） for each frequent itemset the new instance contained and finally ensembles all the classifiers by assigning different weight to different classifier according to the conditional mutual information. The experimental results show that the proposed algorithm outperforms other outstanding algorithms.展开更多
Good software engineering education plays a vital role to improve the software development ability.In China,many software engineering education institutions have been established in recent years.Current research on th...Good software engineering education plays a vital role to improve the software development ability.In China,many software engineering education institutions have been established in recent years.Current research on the software engineering education is mostly focused on the certain concrete courses and body of knowledge,which lacks the view as an integrated education process.How to evaluate the institutions' education capability and how to help them to improve their capability is a critical issue.This paper describes a model for measuring the maturity of software engineering education processes,which leverages the CMM(Capability Maturity Model)of software process.We call this model SEEDU-CMM(Capability Maturity Model for Software Engineering Education).SEEDU-CMM is used to evaluate the capability of the software engineering education institutions,as well as to provide guide for them to improve their education quality.展开更多
Design patterns are micro architectures that have proved to be reliable, robust and easy to implement. Detecting design pattern from source code of object-oriented system can help a designer, a developer or a maintain...Design patterns are micro architectures that have proved to be reliable, robust and easy to implement. Detecting design pattern from source code of object-oriented system can help a designer, a developer or a maintainer to understand the software system. In this paper, a new method is provided which can detect design patterns from source code combining both static and dynamic analysis. To acquire the run-time dynamic information of software systems, a code instrumentation method is adopted. At the same time, all static and dynamic information is presented in UML diagrams format. The pattern detection process and its detection results are visual and interactive. This method is tested on a call center and a traffic simulation system. Experimental results prove that the method is effective in design patterns detection.展开更多
基金Project supported by National Natural Science Foundation of China (Grant No .60473063)
文摘To solve the identification and comprehension problem of crosscutting concerns in existing legacy software system, a framework of aspect-oriented software reveme engineering is proposed. An approach on re-modularizing traversal features of legacy system is presented based on various unified modeling language （UML） diagrams. While modeling crosscutting concerns in UML use case diagrams, the non-functional requirements that affect several use case modules can be enveloped into aspect modules with a stereotype mechanism. The recurring message transmission patterns can be re-modularized as aspects in UML sequence diagrams with UML collaborations. Standard UML activity diagram notations are extended and modified by node fusion and addition, which support the graphical composition operation between crosscutting behaviors and primary business roles of concurrent systems. Case study indicates that travernal features of software system can be extracted and re-modularized from various perspectives in aspect-oriented reverse engineering, which improves comprehensibility and maintainability of legacy systems.
基金Sponsored by the National High-Tech Research and Development Program of China (Grant No 2001AA113160,2004AA104280,and 2007AA010302)the National Natural Science Foundation of China(Grant No90718004)
文摘To avoid the complexity and inefficiency for specific applications of the current software architecture, a novel approach using partial evaluation is proposed to improve the running performance of components. The generic program was specialized into domain-specific realization for the known knowledge and environments. The syntax and semantic(adj.) were analyzed based on byte code instruction sequences, and partial evaluation rules depicted how to perform the specialization. The partial evaluation for object-oriented programs was implemented. The experimental results show that partial evaluation is effective to speed up the running efficiency. The more generality and scalability can be obtained by the integration of partial evaluation with the favorable design mechanisms and compiler optimization technology.
文摘Software engineering(SE) courses are confronted with predicaments how to cultivate students' engineering concept and how to abridge the distance between the academy and industry.The "Computing and Software Engineering,III(CSE III)" helps students mimic a real-world software development and broaden realworld SE view.With the spiral model as the main development model,the CSE III course includes not only the SE theory knowledge,but also quick learning,team cooperation,development management and risk management skills which meet the real-world industry requirements.Our contribution is providing an introductory course for multiple dimensions of knowledge,creating a real-world software development circumstance for students under quantitative control and designing a systematic and practical evaluation mechanism which stimulates the interests of students.CSE III has been executed from 2009 and obtains a valuable teaching and learning effects among our teachers,TAs and students;and we add refinements to the course according to feedbacks of participants.This paper will describe the design and practice of the CSE III course.
基金supported by National Natural Science Foundation of China(No.61462091)High-tech Industrial Development Program of Yunnan Province(No.1956,in 2012)+2 种基金New Academic Researcher Award for Doctoral Candidates of Yunnan Province of China(No.ynu201414)Natural Science Youth Foundation of Yunnan Province of China(No.2014FD006)the Postgraduates Science Foundation of Yunnan University(No.ynuy201424)
文摘Activity is now playing a vital role in software processes. To ensure the high-level efficiency of software processes, a key point is to locate those activities that own bigger resource occupation probabilities with respect to average execution time, called delayed activities, and then improve them. To this end, we firstly propose an approach to locating delayed activities in software processes. Furthermore, we present a case study, which exhibits the high-level efficiency of the approach, to concretely illustrate this new solution. Some beneficial analysis and reasonable modification are developed in the end.
基金Projects(61173026,61373045,61202039)supported by the National Natural Science Foundation of ChinaProjects(K5051223008,BDY221411)supported by the Fundamental Research Funds for the Central Universities of ChinaProject(2012AA02A603)supported by the High-Tech Research and Development Program of China
文摘As the ability of a single agent is limited while information and resources in multi-agent systems are distributed, cooperation is necessary for agents to accomplish a complex task. In the open and changeable environment on the Internet, it is of great significance to research a system flexible and capable in dynamic evolution that can find a collaboration method for agents which can be used in dynamic evolution process. With such a method, agents accomplish tasks for an overall target and at the same time, the collaborative relationship of agents can be adjusted with the change of environment. A method of task decomposition and collaboration of agents by improved contract net protocol is introduced. Finally, analysis on the result of the experiments is performed to verify the improved contract net protocol can greatly increase the efficiency of communication and collaboration in multi-agent system.
文摘This comparative study examines cultural empathy strategies employed by two major international broadcasters-BBC(British Broadcasting Corporation)and CGTN(China Global Television Network)-in their efforts to balance local emotional resonance with universal values in global communication.Through a mixed-methods approach combining content analysis of 2,400 news reports,interviews with 32 media professionals,and audience reception studies across 15 countries,this research investigates how international media organizations navigate the complex terrain of cross-cultural communication in an increasingly interconnected world.The findings reveal significant differences in empathy strategies:BBC employs a“universalist-localized”approach emphasizing shared human experiences while maintaining Western liberal values,achieving 67.3%cross-cultural resonance scores,while CGTN adopts a“particularist-global”strategy highlighting cultural diversity within a framework of mutual understanding,achieving 61.8%resonance scores.Both organizations face challenges in balancing authentic cultural representation with audience accessibility,managing 73.4%and 68.9%cultural authenticity ratings respectively.The study identifies five key empathy strategies:narrative localization,cultural bridging,emotional universalization,value harmonization,and contextual adaptation.Results indicate that successful cultural empathy requires sophisticated understanding of target audiences’cultural schemas while maintaining editorial authenticity.The research contributes to international communication theory by proposing a Cultural Empathy Framework(CEF)that explains how media organizations can effectively navigate the tension between local emotions and universal values in global broadcasting contexts.
文摘This study investigates how artificial intelligence(AI)algorithms enable mainstream media to achieve precise emotional matching and improve communication efficiency through reconstructed communication logic.As digital intelligence technology rapidly evolves,mainstream media organizations are increasingly leveraging AI-driven empathy algorithms to enhance audience engagement and optimize content delivery.This research employs a mixed-methods approach,combining quantitative analysis of algorithmic performance metrics with qualitative examination of media communication patterns.Through systematic review of 150 academic papers and analysis of data from 12 major media platforms,this study reveals that algorithmic empathy systems can improve emotional resonance by 34.7%and increase audience engagement by 28.3%compared to traditional communication methods.The findings demonstrate that AI algorithms reconstruct media communication logic through three primary pathways:emotional pattern recognition,personalized content curation,and real-time sentiment adaptation.However,the study also identifies significant challenges including algorithmic bias,emotional authenticity concerns,and ethical implications of automated empathy.The research contributes to understanding how mainstream media can leverage AI technology to build high-quality empathetic communication while maintaining journalistic integrity and social responsibility.
基金Project supported by the Basic and Applied Basic Research Project,Guangzhou Basic Research Plan(Grant No.202201011444).
文摘Understanding the photon number statistics of a quantum emitter(QE)interacting with complex photonic environments is fundamental to advances in quantum optics and nanophotonics.We introduce a general theoretical framework for calculating the modal photon number density spectrum(MPNDS)in arbitrary dielectric structures with an embedded two-level QE.We validate our approach by investigating a system composed of a two-level QE and a photonic crystal(PhC)slab with an L3 cavity and a waveguide,finding that the MPNDS exhibits significant changes in both waveguide and background radiative channels as the interaction between the QE and modal field transitions from weak coupling to strong coupling.We observe that the number of photons guided along the waveguide shows a strong dependence on the QE’s transition frequency and transition dipole moment,but demonstrates robustness to the transition dipole moment when the transition frequency approaches the waveguide cutoff frequency.Our work allows for the determination and tailoring of light emission characteristics across diverse radiative channels in complex photonic environments.
文摘This essay critically re-examines pedagogical authority in the age of artificial intelligence(AI)and hybrid learning.As AI technologies disrupt the traditional teacher-centered paradigm and hybrid formats dissolve spatial hierarchies,educational authority becomes increasingly distributed and relational.The essay deconstructs conventional models rooted in institutional hierarchy and physical presence,advocating instead for an ethics-driven,dialogic,and technologically literate approach.Educators must transition from authoritative figures to facilitators of critical inquiry,capable of guiding students through algorithmic structures and promoting inclusive,participatory learning.By embracing relational authority and transparent pedagogical practices,higher education can reclaim its transformative and democratic potential in a post-AI landscape.
文摘This essay critically re-examines pedagogical authority in the context of artificial intelligence(AI)and hybrid learning.As AI technologies disrupt the traditional teacher-centered model,and hybrid modalities challenge spatial hierarchies,authority in education is increasingly dispersed and relational.The paper deconstructs historical structures of authority rooted in positional hierarchy and physical space,arguing instead for a model based on ethical mediation,dialogic engagement,and technological literacy.Educators must transform from content deliverers to facilitators of critical inquiry,guiding students through algorithmic complexity and fostering inclusive,participatory learning environments.By embracing relational authority and transparent practices,higher education can reclaim its democratic and transformative potential in the post-AI era.
文摘This paper takes the green innovation in 15 science and technology parks in the Pearl River Delta region as a sample,uses the AHP-Fuzzy evaluation method to construct an index evaluation model with 5 first-level indicators and 9 secondlevel indicators,and analyzes the essential connotation and key influencing factors of green innovation ability in science and technology park.The research found that among the first-level indicators,“industrial innovation”,“incubator innovation”and“policy innovation”ranked among the top three key factors.Among the second-level indicators,the three factors of“enterprise incubator innovation”,“government policies and fiscal and financial policies”and“the development of new industries and emerging industries”have a significant impact on the innovation capabilities of science and technology parks.Accordingly,some suggested measures are put forward to provide theoretical and practical guidance for improving their green innovation ability.The main innovation of this paper is to construct an evaluation model of science and technology park suitable for the green innovation ability of science and technology park according to the social and economic development of the Pearl River Delta city belt and to test its effectiveness.In view of the technology,complexity,ambiguity and pluralism of the evaluation index construction of green innovation ability in science and technology parks in practice,the index evaluation model and application strategy in this paper hope to provide a theoretical reference for the park operators to improve their benefits and promote the development of regional industrial clusters.
基金supported by the National Natural Science Foundation of China(No.51204111)the Program for Liaoning Excellent Talents in University(No.LJQ2015084)+1 种基金the China Postdoctoral Science Foundation(No.2016M590821)Guangdong Provincial Key Laboratory of Advanced Welding Technology for Ships(No.2017B030302010)
文摘Formation of intermetallic compounds （IMCs） during friction stir welding （FSW） of alu- minum/magnesium （AI/Mg） alloys easily results in the pin adhesion and then deteriorates joint formation. The severe pin adhesion transformed the tapered-and-screwed pin into a tapered pin at a low welding speed of 30 mm/min. The pin adhesion problem was solved with the help of ultrasonic. The weldability of Al/Mg alloys was significantly improved due to the good material flow induced by mechanical vibration and the fragments of the IMCs on the surface of a rotating pin caused by acoustic streaming, respectively. A sound joint with ultrasonic contained long Al/Mg interface joining length and complex mixture of AI/Mg alloys in the stir zone, thereby achieving perfect metallurgical bonding and mechanical interlocking. The ultrasonic could broaden process window and then improve tensile properties. The tensile strength of the Al/Mg joint with ultrasonic reached 115 MPa.
基金Project(51678576) supported by the National Natural Science Foundation of ChinaProject(2017YFB1201204) supported by the National Key R&D Program of China。
文摘This paper focuses on understanding and evaluating the dynamic effect of the heavy-haul train system on the seismic performance of a long-span railway bridge. A systematic study on the effect of heavy-haul trains on bridge seismic response has been conducted, considering the influence of vehicle modeling strategies and dynamic characteristics of the seismic waves. For this purpose, the performance of a long-span cable-stayed railway bridge is assessed with stationary trains atop it, where the heavy-haul vehicles are modeled in two different ways: the multi-rigid body model with suspension system and additional mass model. Comparison of the bridge response in the presence or absence of the train system has been conducted, and the vehicle loading situation, which includes full-load and no-load, is also discussed. The result shows that during the earthquake, the peak moment of the main girder and peak stress of stay cables increase by 80% and by 40% in the presence of fully loaded heavy-haul trains, respectively. At the same time, a considerable decrease appears in the peak acceleration of the main girder. This proves the existence of the damping effect of the heavy-haul train system, and this effect is more obvious for the fully loaded vehicles. Finally, this paper proposes an efficient vehicle modeling method with 2 degrees of freedom(DOF) for simplifying the treatment of the train system in bridge seismic checking.
基金Supported by the National Natural Science Foundation of China under Grant Nos.11075055,61021004,10735030Shanghai Leading Academic Discipline Project under Grant No.B412Program for Changjiang Scholars and Innovative Research Team in University(IRT0734)
文摘In the present letter, we get the appropriate bilinear forms of （2 ＋ 1）-dimensional KdV equation, extended （2 ＋ 1）-dimensional shallow water wave equation and （2 ＋ 1）-dimensional Sawada -Kotera equation in a quick and natural manner, namely by appling the binary Bell polynomials. Then the Hirota direct method and Riemann theta function are combined to construct the periodic wave solutions of the three types nonlinear evolution equations. And the corresponding figures of the periodic wave solutions are given. Furthermore, the asymptotic properties of the periodic wave solutions indicate that the soliton solutions can be derived from the periodic wave solutions.
基金supported by the National Key Technology R&D Program(Grant NO. 2012BAH17F01)NSFC-NSF International Cooperation Project(Grant NO. 61361126011)
文摘In a growing number of information processing applications,data takes the form of continuous data streams rather than traditional stored databases.Monitoring systems that seek to provide monitoring services in cloud environment must be prepared to deal gracefully with huge data collections without compromising system performance.In this paper,we show that by using a concept of urgent data,our system can shorten the response time for most 'urgent' queries while guarantee lower bandwidth consumption.We argue that monitoring data can be treated differently.Some data capture critical system events;the arrival of these data will significantly influence the monitoring reaction speed which is called urgent data.High speed urgent data collections can help system to react in real time when facing fatal errors.A cloud environment in production,MagicCube,is used as a test bed.Extensive experiments over both real world and synthetic traces show that when using urgent data,monitoring system can lower the response latency compared with existing monitoring approaches.
基金the financial support provided by the Natural Science Foundation of Hebei Province of China [No. A2020502005]the Fundamental Research Funds for the Central Universities [No. 2020MS113]Science & Technology Program of Baoding [No. 1911ZG019]。
文摘In order to pursue good crushing load uniformity and enchance energy absorption efficiency of conventional honeycombs, a kind of bio-inspired hierarchical honeycomb model is proposed by mimicking the arched crab shell structures. Three bio-inspired hierarchical honeycombs(BHHs) with different topologies are designed by replacing each vertex of square honeycombs with smaller arc-shaped structures. The effects of hierarchical topologies and multi-material layout on in-plane dynamic crushings and absorbed-energy capacities of the BHHs are explored based on the explicit finite element(FE) analysis.Different deformation modes can be observed from the BHHs, which mainly depend upon hierarchical topologies and impact velocities. According to energy efficiency method and one-dimensional(1D) shock theory, calculation formulas of densification strains and plateau stresses for the BHHs are derived to characterize the dynamic bearing capacity, which is consistent well with FE results. Compared with conventional honeycombs, the crushing load efficiency and energy absorption capacity of the BHHs can be improved by changing the proper hierarchical topology and multi-material layout. These researches will provide theoretical guidance for innovative design and dynamic response performance controllability of honeycombs.
基金The Project supported by the Natural Science Foundation of Shandong Province of China under Grant No.Q2005A01
文摘By applying a direct symmetry method, we get the symmetry of the asymmetric Nizhnik-Novikov-Veselov equation （ANNV）. Taking the special case, we have a finite-dimensional symmetry. By using the equivalent vector of the symmetry, we construct an eight-dimensional symmetry algebra and get the optimal system of group-invariant solutions. To every case of the optimal system, we reduce the ANNV equation and obtain some solutions to the reduced equations. Furthermore, we find some new explicit solutions of the ANNV equation. At last, we give the conservation laws of the ANNV equation.
基金supported by National Natural Science Foundation of China (Nos. 61073133, 60973067, and 61175053)Fundamental Research Funds for the Central Universities of China(No. 2011ZD010)
文摘Numerous models have been proposed to reduce the classification error of Naive Bayes by weakening its attribute independence assumption and some have demonstrated remarkable error performance. Considering that ensemble learning is an effective method of reducing the classifmation error of the classifier, this paper proposes a double-layer Bayesian classifier ensembles （DLBCE） algorithm based on frequent itemsets. DLBCE constructs a double-layer Bayesian classifier （DLBC） for each frequent itemset the new instance contained and finally ensembles all the classifiers by assigning different weight to different classifier according to the conditional mutual information. The experimental results show that the proposed algorithm outperforms other outstanding algorithms.
文摘Good software engineering education plays a vital role to improve the software development ability.In China,many software engineering education institutions have been established in recent years.Current research on the software engineering education is mostly focused on the certain concrete courses and body of knowledge,which lacks the view as an integrated education process.How to evaluate the institutions' education capability and how to help them to improve their capability is a critical issue.This paper describes a model for measuring the maturity of software engineering education processes,which leverages the CMM(Capability Maturity Model)of software process.We call this model SEEDU-CMM(Capability Maturity Model for Software Engineering Education).SEEDU-CMM is used to evaluate the capability of the software engineering education institutions,as well as to provide guide for them to improve their education quality.
基金Project supported by the National Natural Science Foundation of China（Grant No.60473063）
文摘Design patterns are micro architectures that have proved to be reliable, robust and easy to implement. Detecting design pattern from source code of object-oriented system can help a designer, a developer or a maintainer to understand the software system. In this paper, a new method is provided which can detect design patterns from source code combining both static and dynamic analysis. To acquire the run-time dynamic information of software systems, a code instrumentation method is adopted. At the same time, all static and dynamic information is presented in UML diagrams format. The pattern detection process and its detection results are visual and interactive. This method is tested on a call center and a traffic simulation system. Experimental results prove that the method is effective in design patterns detection.
