In light of degradation of particle filtering and robust weakness in the utilization of single feature tracking,this paper presents a kernel particle filtering tracking method based on multi-feature integration.In thi...In light of degradation of particle filtering and robust weakness in the utilization of single feature tracking,this paper presents a kernel particle filtering tracking method based on multi-feature integration.In this paper,a new weight upgrading method is given out during kernel particle filtering at first,and then robust tracking is realized by integrating color and texture features under the framework of kernel particle filtering.Space histogram and integral histogram is adopted to calculate color and texture features respectively.These two calculation methods effectively overcome their own defectiveness,and meanwhile,improve the real timing for particle filtering.This algorithm has also improved sampling effectiveness,resolved redundant calculation for particle filtering and degradation of particles.Finally,the experiment for target tracking is realized by using the method under complicated background and shelter.Experiment results show that the method can reliably and accurately track target and deal with target sheltering situation properly.展开更多
Digital watermarking technology plays an important role in detecting malicious tampering and protecting image copyright.However,in practical applications,this technology faces various problems such as severe image dis...Digital watermarking technology plays an important role in detecting malicious tampering and protecting image copyright.However,in practical applications,this technology faces various problems such as severe image distortion,inaccurate localization of the tampered regions,and difficulty in recovering content.Given these shortcomings,a fragile image watermarking algorithm for tampering blind-detection and content self-recovery is proposed.The multi-feature watermarking authentication code(AC)is constructed using texture feature of local binary patterns(LBP),direct coefficient of discrete cosine transform(DCT)and contrast feature of gray level co-occurrence matrix(GLCM)for detecting the tampered region,and the recovery code(RC)is designed according to the average grayscale value of pixels in image blocks for recovering the tampered content.Optimal pixel adjustment process(OPAP)and least significant bit(LSB)algorithms are used to embed the recovery code and authentication code into the image in a staggered manner.When detecting the integrity of the image,the authentication code comparison method and threshold judgment method are used to perform two rounds of tampering detection on the image and blindly recover the tampered content.Experimental results show that this algorithm has good transparency,strong and blind detection,and self-recovery performance against four types of malicious attacks and some conventional signal processing operations.When resisting copy-paste,text addition,cropping and vector quantization under the tampering rate(TR)10%,the average tampering detection rate is up to 94.09%,and the peak signal-to-noise ratio(PSNR)of the watermarked image and the recovered image are both greater than 41.47 and 40.31 dB,which demonstrates its excellent advantages compared with other related algorithms in recent years.展开更多
Multi-organ-on-a-chip(MOOC)technology represents a pivotal direction in the organ-on-a-chip field,seeking to emulate the complex interactions of multiple human organs in vitro through microfluidic systems.This technol...Multi-organ-on-a-chip(MOOC)technology represents a pivotal direction in the organ-on-a-chip field,seeking to emulate the complex interactions of multiple human organs in vitro through microfluidic systems.This technology overcomes the limitations of traditional single-organ models,providing a novel platform for investigating complex disease mechanisms and evaluating drug efficacy and toxicity.Although it demonstrates broad application prospects,its development still faces critical bottlenecks,including inadequate physiological coupling between organs,short functional maintenance durations,and limited real-time monitoring capabilities.Contemporary research is advancing along three key directions,including functional coupling,sensor integration,and full-process automation systems,to propel the technology toward enhanced levels of physiological relevance and predictive accuracy.展开更多
Complex network models are frequently employed for simulating and studyingdiverse real-world complex systems.Among these models,scale-free networks typically exhibit greater fragility to malicious attacks.Consequently...Complex network models are frequently employed for simulating and studyingdiverse real-world complex systems.Among these models,scale-free networks typically exhibit greater fragility to malicious attacks.Consequently,enhancing the robustness of scale-free networks has become a pressing issue.To address this problem,this paper proposes a Multi-Granularity Integration Algorithm(MGIA),which aims to improve the robustness of scale-free networks while keeping the initial degree of each node unchanged,ensuring network connectivity and avoiding the generation of multiple edges.The algorithm generates a multi-granularity structure from the initial network to be optimized,then uses different optimization strategies to optimize the networks at various granular layers in this structure,and finally realizes the information exchange between different granular layers,thereby further enhancing the optimization effect.We propose new network refresh,crossover,and mutation operators to ensure that the optimized network satisfies the given constraints.Meanwhile,we propose new network similarity and network dissimilarity evaluation metrics to improve the effectiveness of the optimization operators in the algorithm.In the experiments,the MGIA enhances the robustness of the scale-free network by 67.6%.This improvement is approximately 17.2%higher than the optimization effects achieved by eight currently existing complex network robustness optimization algorithms.展开更多
The rapid growth of artificial intelligence has accelerated data generation,which increasingly exposes the limitations faced by traditional computational architectures,particularly in terms of energy consumption and d...The rapid growth of artificial intelligence has accelerated data generation,which increasingly exposes the limitations faced by traditional computational architectures,particularly in terms of energy consumption and data latency.In contrast,data-centric computing that integrates processing and storage has the potential of reducing latency and energy usage.Organic optoelectronic synaptic transistors have emerged as one type of promising devices to implement the data-centric com-puting paradigm owing to their superiority of flexibility,low cost,and large-area fabrication.However,sophisticated functions including vector-matrix multiplication that a single device can achieve are limited.Thus,the fabrication and utilization of organic optoelectronic synaptic transistor arrays(OOSTAs)are imperative.Here,we summarize the recent advances in OOSTAs.Various strategies for manufacturing OOSTAs are introduced,including coating and casting,physical vapor deposition,printing,and photolithography.Furthermore,innovative applications of the OOSTA system integration are discussed,including neuromor-phic visual systems and neuromorphic computing systems.At last,challenges and future perspectives of utilizing OOSTAs in real-world applications are discussed.展开更多
In global navigation satellite system denial environment,cross-view geo-localization based on image retrieval presents an exceedingly critical visual localization solution for Unmanned Aerial Vehicle(UAV)systems.The e...In global navigation satellite system denial environment,cross-view geo-localization based on image retrieval presents an exceedingly critical visual localization solution for Unmanned Aerial Vehicle(UAV)systems.The essence of cross-view geo-localization resides in matching images containing the same geographical targets from disparate platforms,such as UAV-view and satellite-view images.However,images of the same geographical targets may suffer from occlusions and geometric distortions due to variations in the capturing platform,view,and timing.The existing methods predominantly extract features by segmenting feature maps,which overlook the holistic semantic distribution and structural information of objects,resulting in loss of image information.To address these challenges,dilated neighborhood attention Transformer is employed as the feature extraction backbone,and Multi-feature representations based on Multi-scale Hierarchical Contextual Aggregation(MMHCA)is proposed.In the proposed MMHCA method,the multiscale hierarchical contextual aggregation method is utilized to extract contextual information from local to global across various granularity levels,establishing feature associations of contextual information with global and local information in the image.Subsequently,the multi-feature representations method is utilized to obtain rich discriminative feature information,bolstering the robustness of model in scenarios characterized by positional shifts,varying distances,and scale ambiguities.Comprehensive experiments conducted on the extensively utilized University-1652 and SUES-200 benchmarks indicate that the MMHCA method surpasses the existing techniques.showing outstanding results in UAV localization and navigation.展开更多
This study proposes a learner profile framework based on multi-feature fusion,aiming to enhance the precision of personalized learning recommendations by integrating learners’static attributes(e.g.,demographic data a...This study proposes a learner profile framework based on multi-feature fusion,aiming to enhance the precision of personalized learning recommendations by integrating learners’static attributes(e.g.,demographic data and historical academic performance)with dynamic behavioral patterns(e.g.,real-time interactions and evolving interests over time).The research employs Term Frequency-Inverse Document Frequency(TF-IDF)for semantic feature extraction,integrates the Analytic Hierarchy Process(AHP)for feature weighting,and introduces a time decay function inspired by Newton’s law of cooling to dynamically model changes in learners’interests.Empirical results demonstrate that this framework effectively captures the dynamic evolution of learners’behaviors and provides context-aware learning resource recommendations.The study introduces a novel paradigm for learner modeling in educational technology,combining methodological innovation with a scalable technical architecture,thereby laying a foundation for the development of adaptive learning systems.展开更多
The traditional EnFCM(Enhanced fuzzy C-means)algorithm only considers the grey-scale features in image segmentation,resulting in less than satisfactory results when the algorithm is used for remote sensing woodland im...The traditional EnFCM(Enhanced fuzzy C-means)algorithm only considers the grey-scale features in image segmentation,resulting in less than satisfactory results when the algorithm is used for remote sensing woodland image segmentation and extraction.An EnFCM remote sensing forest land extraction method based on PCA multi-feature fusion was proposed.Firstly,histogram equalization was applied to improve the image contrast.Secondly,the texture and edge features of the image were extracted,and a multi-feature fused pixel image was generated using the PCA technique.Moreover,the fused feature was used as a feature constraint to measure the difference of pixels instead of a single grey-scale feature.Finally,an improved feature distance metric calculated the similarity between the pixel points and the cluster center to complete the cluster segmentation.The experimental results showed that the error was between 1.5%and 4.0%compared with the forested area counted by experts’hand-drawing,which could obtain a high accuracy segmentation and extraction result.展开更多
Under the current medical education reform,the“clinical-research”model for TCM master’s degrees is a key approach to advancing the modernization of traditional Chinese medicine.With the core of“dual-track integrat...Under the current medical education reform,the“clinical-research”model for TCM master’s degrees is a key approach to advancing the modernization of traditional Chinese medicine.With the core of“dual-track integration,”this model aims to enhance both clinical practice and research abilities simultaneously.However,ten years of practice have shown that it still faces multiple challenges:an imbalance between clinical rotation time and research investment,deeply rooted attitudes that prioritize clinical work over research,insufficient TCM research resources and fragmented platforms,and poor coordination between policy and teaching design.These issues,particularly the methodological differences between TCM experience-based medicine and modern evidence-based medicine,further complicate the integration of clinical and research efforts.Therefore,there is an urgent need to promote the deep integration of research training into clinical practice through system design,value orientation,and evaluation systems,fostering a new ecological environment where clinical and research efforts thrive together.This will help cultivate TCM professionals with both strong clinical skills and innovative research capabilities,providing sustained momentum for the high-quality development of traditional Chinese medicine.展开更多
Silicon nitride photonics has emerged as a promising integrated optical platform due to its broad transparency window,low optical loss,and mature fabrication technology.However,the inherent centrosymmetric crystal str...Silicon nitride photonics has emerged as a promising integrated optical platform due to its broad transparency window,low optical loss,and mature fabrication technology.However,the inherent centrosymmetric crystal structure of silicon nitride fundamentally restricts its applications in second-order nonlinear optical processes.Monolayer transition metal dichalcogenides,particularly tungsten disulfide(WS_(2)),exhibit strong second-order nonlinear responses,making them ideal candidates for nonlinear photonic applications.Herein,we demonstrate a heterogeneously integrated platform combining silicon nitride waveguides with chemical vapor deposition(CVD)-grown monolayer WS_(2),enabling second harmonic generation.A specially designed silica cladding featuring gentle-slope profile on silicon nitride strip waveguides facilitates the integration of centimeter-scale WS_(2)film with photonic circuits.This approach provides a robust solution for incorporating second-order nonlinearity into silicon nitride photonic systems.The demonstrated platform holds significant potential for advancing quantum networks,visible-light lasers,and integrated optical modulation/detection systems.展开更多
Against the backdrop of intensified global cultural collisions and ideological competition,deeply integrating excellent traditional Chinese culture(ETCC)into university ideological and political courses(IPCs)has becom...Against the backdrop of intensified global cultural collisions and ideological competition,deeply integrating excellent traditional Chinese culture(ETCC)into university ideological and political courses(IPCs)has become an imperative of our times.Guided by General Secretary Xi Jinping’s methodology of“Two Integrations,”this paper examines the pathways for this integration from three dimensions:value,theory,and practice.The value dimension emphasizes fostering moral conviction and strengthening the spiritual foundation to meet needs such as safeguarding cultural security,preserving the spiritual lineage,and constructing a spiritual framework.The theoretical dimension reveals the mutually constitutive breakthroughs between Marxism and traditional Chinese dialectical thinking,encompassing methodological complementarity,logical coherence of values,and discursive system innovation.The practical dimension involves constructing a comprehensive educational ecosystem by localizing teaching content,modernizing traditional resources,and fostering inter-platform collaborative education,thereby internalizing the value of traditional culture.These three dimensions synergize and co-constitute each other,collectively providing methodological support and practical paradigms for cultivating cultural confidence among youth and forging a new generation capable of shouldering the mission of national rejuvenation.展开更多
This study examines the “V + Dào” construction as a state change event through the lens of the Event Integration Hypothesis. It focuses on how these constructions represent state changes, exploring distinctions...This study examines the “V + Dào” construction as a state change event through the lens of the Event Integration Hypothesis. It focuses on how these constructions represent state changes, exploring distinctions between “change” and “stasis”. Using a corpus-based approach, the analysis covers the semantic and syntactic features of “V + Dào” constructions and their event integration patterns. The findings highlight the distribution of agency, animacy, and support relations in state change events, emphasizing the complex interaction of internal and external event integrations and their correlation with the conceptual primitives of change and transition. This study offers insights into the lexicalization and grammaticalization processes of the “V + Dào” construction, and potentially the broader verb-complement constructions in Mandarin.展开更多
Mason Reset(MR),a groundbreaking invention by Clesson E.Mason in 1930 that later became a part of“the universal approach to process control instrumentation”,is revisited in this paper and is shown to consists of thr...Mason Reset(MR),a groundbreaking invention by Clesson E.Mason in 1930 that later became a part of“the universal approach to process control instrumentation”,is revisited in this paper and is shown to consists of three actions:fast(errorcorrection),medium(negative feedback for expanded proportional band)and slow(reset for zero steady-state error).The focus of the paper is on the reset action,generated from a positive feedback loop,and its underlying principles with profound implications to our understanding and practice of automatic control,both basic and advanced.For example,we note that reset control and integral control,contrary to common belief,differ fundamentally in design principle and in practicality.Such difference comes to a head in the event of integrator windup:while reset windup is a problem of actuator saturation,the integrator windup is a runaway situation due to controller instability.In fact,there is no advantage gained in replacing MR with an integrator.In other words,one should not integrate the error directly as in standard PID,since doing so makes the closed-loop system internally unstable.With MR-based control formulated in this paper,there is no such threat of instability and,therefore,no need for any anti-windup mechanisms.Furthermore,the integral control is made scalable in this framework as a tradeoff between the steady-state accuracy and the controller stability.This leads to a novel MR-based control design,scalable in gain and in time to accommodate various process characteristics and design specifications.Simple in construction and transparent in principle,this MR-based control,as a basic framework of design,is readily deployable in scale.展开更多
China and ASEAN have emerged as close partners in the digital economy,with extensive cooperation in key areas such as digital infrastructure,5G technology,artificial intelligence,and big data.The comprehensive impleme...China and ASEAN have emerged as close partners in the digital economy,with extensive cooperation in key areas such as digital infrastructure,5G technology,artificial intelligence,and big data.The comprehensive implementation of the Regional Comprehensive Economic Partnership(RCEP)has provided institutional guarantees and regulatory benefits for China-ASEAN digital economic collaboration.This framework has enhanced the marginal effects of their digital economies,unlocked the potential of the digital market,and facilitated digital transformation and regional socio-economic development.Nevertheless,challenges remain,including the incomplete harmonization of trade rules and standards among ASEAN member states,uneven development of digital infrastructure,and the increasingly complex landscape of digital economic cooperation.To address these issues,future efforts should focus on creating a more conducive digital environment,accelerating the construction of digital infrastructure,fostering industrial innovation and complementary development,and promoting cross-sectoral collaboration in digital services.展开更多
The integration of education,technology,and talent is a strategic institutional arrangement for China to build a high-quality education system and achieve innovation-driven development in the new era.As the main platf...The integration of education,technology,and talent is a strategic institutional arrangement for China to build a high-quality education system and achieve innovation-driven development in the new era.As the main platform for cultivating technical and skilled talents,vocational education faces dilemmas such as ambiguous role positioning,conflicting role expectations,and insufficient role capabilities when it comes to the coupling of the three functions of“education-technology-talent”.Based on the analytical framework of role theory and structural functionalism,this paper proposes three paths:clarifying role positioning through the integration of vocational and general education,reconstructing role expectations through the integration of science and education,and enhancing role capabilities through the integration of industry and education.These paths provide theoretical references and practical guidance for optimizing the function of vocational education in the collaborative innovation system.展开更多
Enterprise application integration encounters substantial hurdles,particularly in intricate contexts that require elevated scalability and speed.Transactional applications directly accessed by many systems frequently ...Enterprise application integration encounters substantial hurdles,particularly in intricate contexts that require elevated scalability and speed.Transactional applications directly accessed by many systems frequently overload databases,undermining process efficiency.This paper examines the utilization of data lakes-historically used for data analysis-as a centralized integration layer that accommodates various temporalities and consumption modalities.The sug-gested method diminishes system interdependence and the burden on transac-tional databases,enhancing scalability and data governance in both mono-lithic and distributed frameworks.展开更多
As a crucial pivot for national strategic development,the university relocation project in Xiong’an New Area undertakes the mission of optimizing capital functions and promoting regional coordinated development.Takin...As a crucial pivot for national strategic development,the university relocation project in Xiong’an New Area undertakes the mission of optimizing capital functions and promoting regional coordinated development.Taking the Xi-ong’an Campus of China University of Geosciences(Beijing)as a case study,this paper explores the collaborative pa-thways between universities and cities in terms of functional complementarity,resource sharing,and ecological symbiosis from the perspective of campus functional layout and spatial optimization.By integrating four core concepts—green ecology,intelligent technology,cultural inheritance,and traffic optimization—it proposes a design strategy of“breaking boundaries and multi-dimensional linkage,”aiming to construct a new spatial paradigm of urban-university integration and provide theoretical support and practical references for the development of higher education and urbanization in Xiong’an New Area.展开更多
As a renowned historical and cultural city,Luoyang boasts a wealth of tourism resources,including sports venues,natural landscapes,and cultural heritage sites,laying a solid foundation for the integrated development o...As a renowned historical and cultural city,Luoyang boasts a wealth of tourism resources,including sports venues,natural landscapes,and cultural heritage sites,laying a solid foundation for the integrated development of the tourism industry and sports events in recent years,with remarkable achievements in practice.However,from the perspective of sports-tourism integration,Luoyang’s event tourism still faces a prominent issue of uneven development:a surge in tourists during peak seasons,leading to overcrowded attractions,and a scarcity of visitors during off-peak seasons,resulting in idle resources.This not only leads to inefficient resource utilization but also restricts the enhancement of economic benefits and hinders sustainable development.In light of this,this paper comprehensively employs literature research,case analysis,and fieldwork methods to systematically analyze the current development status of event tourism in Luoyang within the context of sports-tourism integration.The aim is to provide theoretical and practical support for achieving high-quality and balanced development of local event tourism,offering valuable references for addressing the issue of uneven development and moving towards a sustainable future.展开更多
On 2 December 2024,the Chinese Association for International Understanding(CAFIU),Thai-China Culture and Economy Association(TCCEA)and the Chinese Embassy in Thailand jointly hosted the Civilisation Lecture Series eve...On 2 December 2024,the Chinese Association for International Understanding(CAFIU),Thai-China Culture and Economy Association(TCCEA)and the Chinese Embassy in Thailand jointly hosted the Civilisation Lecture Series event themed Enhancing Exchanges and Integration among Civilisations and Writing A New Chapter of China-Thailand Brotherhood Relations.CAFIU President Ji Bingxuan,who was on a visit in Thailand,attended the event and delivered a keynote speech.展开更多
基金Sponsored by Natural Science Foundation of Heilongjiang Province of China(Grant No.QC2001C060)the Science and Technology Research Projectsin Office of Education of Heilongjiang province(Grant No.11531307)
文摘In light of degradation of particle filtering and robust weakness in the utilization of single feature tracking,this paper presents a kernel particle filtering tracking method based on multi-feature integration.In this paper,a new weight upgrading method is given out during kernel particle filtering at first,and then robust tracking is realized by integrating color and texture features under the framework of kernel particle filtering.Space histogram and integral histogram is adopted to calculate color and texture features respectively.These two calculation methods effectively overcome their own defectiveness,and meanwhile,improve the real timing for particle filtering.This algorithm has also improved sampling effectiveness,resolved redundant calculation for particle filtering and degradation of particles.Finally,the experiment for target tracking is realized by using the method under complicated background and shelter.Experiment results show that the method can reliably and accurately track target and deal with target sheltering situation properly.
基金supported by Postgraduate Research&Practice Innovation Program of Jiangsu Province,China(Grant No.SJCX24_1332)Jiangsu Province Education Science Planning Project in 2024(Grant No.B-b/2024/01/122)High-Level Talent Scientific Research Foundation of Jinling Institute of Technology,China(Grant No.jit-b-201918).
文摘Digital watermarking technology plays an important role in detecting malicious tampering and protecting image copyright.However,in practical applications,this technology faces various problems such as severe image distortion,inaccurate localization of the tampered regions,and difficulty in recovering content.Given these shortcomings,a fragile image watermarking algorithm for tampering blind-detection and content self-recovery is proposed.The multi-feature watermarking authentication code(AC)is constructed using texture feature of local binary patterns(LBP),direct coefficient of discrete cosine transform(DCT)and contrast feature of gray level co-occurrence matrix(GLCM)for detecting the tampered region,and the recovery code(RC)is designed according to the average grayscale value of pixels in image blocks for recovering the tampered content.Optimal pixel adjustment process(OPAP)and least significant bit(LSB)algorithms are used to embed the recovery code and authentication code into the image in a staggered manner.When detecting the integrity of the image,the authentication code comparison method and threshold judgment method are used to perform two rounds of tampering detection on the image and blindly recover the tampered content.Experimental results show that this algorithm has good transparency,strong and blind detection,and self-recovery performance against four types of malicious attacks and some conventional signal processing operations.When resisting copy-paste,text addition,cropping and vector quantization under the tampering rate(TR)10%,the average tampering detection rate is up to 94.09%,and the peak signal-to-noise ratio(PSNR)of the watermarked image and the recovered image are both greater than 41.47 and 40.31 dB,which demonstrates its excellent advantages compared with other related algorithms in recent years.
基金supported by the Shenzhen Medical Research Fund(Grant No.A2303049)Guangdong Basic and Applied Basic Research(Grant No.2023A1515010647)+1 种基金National Natural Science Foundation of China(Grant No.22004135)Shenzhen Science and Technology Program(Grant No.RCBS20210706092409020,GXWD20201231165807008,20200824162253002).
文摘Multi-organ-on-a-chip(MOOC)technology represents a pivotal direction in the organ-on-a-chip field,seeking to emulate the complex interactions of multiple human organs in vitro through microfluidic systems.This technology overcomes the limitations of traditional single-organ models,providing a novel platform for investigating complex disease mechanisms and evaluating drug efficacy and toxicity.Although it demonstrates broad application prospects,its development still faces critical bottlenecks,including inadequate physiological coupling between organs,short functional maintenance durations,and limited real-time monitoring capabilities.Contemporary research is advancing along three key directions,including functional coupling,sensor integration,and full-process automation systems,to propel the technology toward enhanced levels of physiological relevance and predictive accuracy.
基金National Natural Science Foundation of China(11971211,12171388).
文摘Complex network models are frequently employed for simulating and studyingdiverse real-world complex systems.Among these models,scale-free networks typically exhibit greater fragility to malicious attacks.Consequently,enhancing the robustness of scale-free networks has become a pressing issue.To address this problem,this paper proposes a Multi-Granularity Integration Algorithm(MGIA),which aims to improve the robustness of scale-free networks while keeping the initial degree of each node unchanged,ensuring network connectivity and avoiding the generation of multiple edges.The algorithm generates a multi-granularity structure from the initial network to be optimized,then uses different optimization strategies to optimize the networks at various granular layers in this structure,and finally realizes the information exchange between different granular layers,thereby further enhancing the optimization effect.We propose new network refresh,crossover,and mutation operators to ensure that the optimized network satisfies the given constraints.Meanwhile,we propose new network similarity and network dissimilarity evaluation metrics to improve the effectiveness of the optimization operators in the algorithm.In the experiments,the MGIA enhances the robustness of the scale-free network by 67.6%.This improvement is approximately 17.2%higher than the optimization effects achieved by eight currently existing complex network robustness optimization algorithms.
基金supported by the National Key Research and Development Program of China(2021YFA1101303)the National Natural Science Foundation of China(62374115)the Innovation Program of Shanghai Municipal Education Commission(2021-01-07-00-07-E00096).
文摘The rapid growth of artificial intelligence has accelerated data generation,which increasingly exposes the limitations faced by traditional computational architectures,particularly in terms of energy consumption and data latency.In contrast,data-centric computing that integrates processing and storage has the potential of reducing latency and energy usage.Organic optoelectronic synaptic transistors have emerged as one type of promising devices to implement the data-centric com-puting paradigm owing to their superiority of flexibility,low cost,and large-area fabrication.However,sophisticated functions including vector-matrix multiplication that a single device can achieve are limited.Thus,the fabrication and utilization of organic optoelectronic synaptic transistor arrays(OOSTAs)are imperative.Here,we summarize the recent advances in OOSTAs.Various strategies for manufacturing OOSTAs are introduced,including coating and casting,physical vapor deposition,printing,and photolithography.Furthermore,innovative applications of the OOSTA system integration are discussed,including neuromor-phic visual systems and neuromorphic computing systems.At last,challenges and future perspectives of utilizing OOSTAs in real-world applications are discussed.
基金supported by the National Natural Science Foundation of China(Nos.12072027,62103052,61603346 and 62103379)the Henan Key Laboratory of General Aviation Technology,China(No.ZHKF-230201)+3 种基金the Funding for the Open Research Project of the Rotor Aerodynamics Key Laboratory,China(No.RAL20200101)the Key Research and Development Program of Henan Province,China(Nos.241111222000 and 241111222900)the Key Science and Technology Program of Henan Province,China(No.232102220067)the Scholarship Funding from the China Scholarship Council(No.202206030079).
文摘In global navigation satellite system denial environment,cross-view geo-localization based on image retrieval presents an exceedingly critical visual localization solution for Unmanned Aerial Vehicle(UAV)systems.The essence of cross-view geo-localization resides in matching images containing the same geographical targets from disparate platforms,such as UAV-view and satellite-view images.However,images of the same geographical targets may suffer from occlusions and geometric distortions due to variations in the capturing platform,view,and timing.The existing methods predominantly extract features by segmenting feature maps,which overlook the holistic semantic distribution and structural information of objects,resulting in loss of image information.To address these challenges,dilated neighborhood attention Transformer is employed as the feature extraction backbone,and Multi-feature representations based on Multi-scale Hierarchical Contextual Aggregation(MMHCA)is proposed.In the proposed MMHCA method,the multiscale hierarchical contextual aggregation method is utilized to extract contextual information from local to global across various granularity levels,establishing feature associations of contextual information with global and local information in the image.Subsequently,the multi-feature representations method is utilized to obtain rich discriminative feature information,bolstering the robustness of model in scenarios characterized by positional shifts,varying distances,and scale ambiguities.Comprehensive experiments conducted on the extensively utilized University-1652 and SUES-200 benchmarks indicate that the MMHCA method surpasses the existing techniques.showing outstanding results in UAV localization and navigation.
基金This work is supported by the Ministry of Education of Humanities and Social Science projects in China(No.20YJCZH124)Guangdong Province Education and Teaching Reform Project No.640:Research on the Teaching Practice and Application of Online Peer Assessment Methods in the Context of Artificial Intelligence.
文摘This study proposes a learner profile framework based on multi-feature fusion,aiming to enhance the precision of personalized learning recommendations by integrating learners’static attributes(e.g.,demographic data and historical academic performance)with dynamic behavioral patterns(e.g.,real-time interactions and evolving interests over time).The research employs Term Frequency-Inverse Document Frequency(TF-IDF)for semantic feature extraction,integrates the Analytic Hierarchy Process(AHP)for feature weighting,and introduces a time decay function inspired by Newton’s law of cooling to dynamically model changes in learners’interests.Empirical results demonstrate that this framework effectively captures the dynamic evolution of learners’behaviors and provides context-aware learning resource recommendations.The study introduces a novel paradigm for learner modeling in educational technology,combining methodological innovation with a scalable technical architecture,thereby laying a foundation for the development of adaptive learning systems.
基金supported by National Natural Science Foundation of China(No.61761027)Gansu Young Doctor’s Fund for Higher Education Institutions(No.2021QB-053)。
文摘The traditional EnFCM(Enhanced fuzzy C-means)algorithm only considers the grey-scale features in image segmentation,resulting in less than satisfactory results when the algorithm is used for remote sensing woodland image segmentation and extraction.An EnFCM remote sensing forest land extraction method based on PCA multi-feature fusion was proposed.Firstly,histogram equalization was applied to improve the image contrast.Secondly,the texture and edge features of the image were extracted,and a multi-feature fused pixel image was generated using the PCA technique.Moreover,the fused feature was used as a feature constraint to measure the difference of pixels instead of a single grey-scale feature.Finally,an improved feature distance metric calculated the similarity between the pixel points and the cluster center to complete the cluster segmentation.The experimental results showed that the error was between 1.5%and 4.0%compared with the forested area counted by experts’hand-drawing,which could obtain a high accuracy segmentation and extraction result.
基金Yunnan Province High-level Science and Technology Talents and Innovation Team Selection Special Project。
文摘Under the current medical education reform,the“clinical-research”model for TCM master’s degrees is a key approach to advancing the modernization of traditional Chinese medicine.With the core of“dual-track integration,”this model aims to enhance both clinical practice and research abilities simultaneously.However,ten years of practice have shown that it still faces multiple challenges:an imbalance between clinical rotation time and research investment,deeply rooted attitudes that prioritize clinical work over research,insufficient TCM research resources and fragmented platforms,and poor coordination between policy and teaching design.These issues,particularly the methodological differences between TCM experience-based medicine and modern evidence-based medicine,further complicate the integration of clinical and research efforts.Therefore,there is an urgent need to promote the deep integration of research training into clinical practice through system design,value orientation,and evaluation systems,fostering a new ecological environment where clinical and research efforts thrive together.This will help cultivate TCM professionals with both strong clinical skills and innovative research capabilities,providing sustained momentum for the high-quality development of traditional Chinese medicine.
基金Project supported by the National Innovative Training Program for College Students of China(Grant No.2023069)the University Research and Innovation Project of the National University of Defense Technology。
文摘Silicon nitride photonics has emerged as a promising integrated optical platform due to its broad transparency window,low optical loss,and mature fabrication technology.However,the inherent centrosymmetric crystal structure of silicon nitride fundamentally restricts its applications in second-order nonlinear optical processes.Monolayer transition metal dichalcogenides,particularly tungsten disulfide(WS_(2)),exhibit strong second-order nonlinear responses,making them ideal candidates for nonlinear photonic applications.Herein,we demonstrate a heterogeneously integrated platform combining silicon nitride waveguides with chemical vapor deposition(CVD)-grown monolayer WS_(2),enabling second harmonic generation.A specially designed silica cladding featuring gentle-slope profile on silicon nitride strip waveguides facilitates the integration of centimeter-scale WS_(2)film with photonic circuits.This approach provides a robust solution for incorporating second-order nonlinearity into silicon nitride photonic systems.The demonstrated platform holds significant potential for advancing quantum networks,visible-light lasers,and integrated optical modulation/detection systems.
基金Center for Sinicized Marxism and Traditional Culture,Sichuan University of Science&Engineering(Project No.:ZMCY202410)。
文摘Against the backdrop of intensified global cultural collisions and ideological competition,deeply integrating excellent traditional Chinese culture(ETCC)into university ideological and political courses(IPCs)has become an imperative of our times.Guided by General Secretary Xi Jinping’s methodology of“Two Integrations,”this paper examines the pathways for this integration from three dimensions:value,theory,and practice.The value dimension emphasizes fostering moral conviction and strengthening the spiritual foundation to meet needs such as safeguarding cultural security,preserving the spiritual lineage,and constructing a spiritual framework.The theoretical dimension reveals the mutually constitutive breakthroughs between Marxism and traditional Chinese dialectical thinking,encompassing methodological complementarity,logical coherence of values,and discursive system innovation.The practical dimension involves constructing a comprehensive educational ecosystem by localizing teaching content,modernizing traditional resources,and fostering inter-platform collaborative education,thereby internalizing the value of traditional culture.These three dimensions synergize and co-constitute each other,collectively providing methodological support and practical paradigms for cultivating cultural confidence among youth and forging a new generation capable of shouldering the mission of national rejuvenation.
文摘This study examines the “V + Dào” construction as a state change event through the lens of the Event Integration Hypothesis. It focuses on how these constructions represent state changes, exploring distinctions between “change” and “stasis”. Using a corpus-based approach, the analysis covers the semantic and syntactic features of “V + Dào” constructions and their event integration patterns. The findings highlight the distribution of agency, animacy, and support relations in state change events, emphasizing the complex interaction of internal and external event integrations and their correlation with the conceptual primitives of change and transition. This study offers insights into the lexicalization and grammaticalization processes of the “V + Dào” construction, and potentially the broader verb-complement constructions in Mandarin.
文摘Mason Reset(MR),a groundbreaking invention by Clesson E.Mason in 1930 that later became a part of“the universal approach to process control instrumentation”,is revisited in this paper and is shown to consists of three actions:fast(errorcorrection),medium(negative feedback for expanded proportional band)and slow(reset for zero steady-state error).The focus of the paper is on the reset action,generated from a positive feedback loop,and its underlying principles with profound implications to our understanding and practice of automatic control,both basic and advanced.For example,we note that reset control and integral control,contrary to common belief,differ fundamentally in design principle and in practicality.Such difference comes to a head in the event of integrator windup:while reset windup is a problem of actuator saturation,the integrator windup is a runaway situation due to controller instability.In fact,there is no advantage gained in replacing MR with an integrator.In other words,one should not integrate the error directly as in standard PID,since doing so makes the closed-loop system internally unstable.With MR-based control formulated in this paper,there is no such threat of instability and,therefore,no need for any anti-windup mechanisms.Furthermore,the integral control is made scalable in this framework as a tradeoff between the steady-state accuracy and the controller stability.This leads to a novel MR-based control design,scalable in gain and in time to accommodate various process characteristics and design specifications.Simple in construction and transparent in principle,this MR-based control,as a basic framework of design,is readily deployable in scale.
文摘China and ASEAN have emerged as close partners in the digital economy,with extensive cooperation in key areas such as digital infrastructure,5G technology,artificial intelligence,and big data.The comprehensive implementation of the Regional Comprehensive Economic Partnership(RCEP)has provided institutional guarantees and regulatory benefits for China-ASEAN digital economic collaboration.This framework has enhanced the marginal effects of their digital economies,unlocked the potential of the digital market,and facilitated digital transformation and regional socio-economic development.Nevertheless,challenges remain,including the incomplete harmonization of trade rules and standards among ASEAN member states,uneven development of digital infrastructure,and the increasingly complex landscape of digital economic cooperation.To address these issues,future efforts should focus on creating a more conducive digital environment,accelerating the construction of digital infrastructure,fostering industrial innovation and complementary development,and promoting cross-sectoral collaboration in digital services.
文摘The integration of education,technology,and talent is a strategic institutional arrangement for China to build a high-quality education system and achieve innovation-driven development in the new era.As the main platform for cultivating technical and skilled talents,vocational education faces dilemmas such as ambiguous role positioning,conflicting role expectations,and insufficient role capabilities when it comes to the coupling of the three functions of“education-technology-talent”.Based on the analytical framework of role theory and structural functionalism,this paper proposes three paths:clarifying role positioning through the integration of vocational and general education,reconstructing role expectations through the integration of science and education,and enhancing role capabilities through the integration of industry and education.These paths provide theoretical references and practical guidance for optimizing the function of vocational education in the collaborative innovation system.
文摘Enterprise application integration encounters substantial hurdles,particularly in intricate contexts that require elevated scalability and speed.Transactional applications directly accessed by many systems frequently overload databases,undermining process efficiency.This paper examines the utilization of data lakes-historically used for data analysis-as a centralized integration layer that accommodates various temporalities and consumption modalities.The sug-gested method diminishes system interdependence and the burden on transac-tional databases,enhancing scalability and data governance in both mono-lithic and distributed frameworks.
文摘As a crucial pivot for national strategic development,the university relocation project in Xiong’an New Area undertakes the mission of optimizing capital functions and promoting regional coordinated development.Taking the Xi-ong’an Campus of China University of Geosciences(Beijing)as a case study,this paper explores the collaborative pa-thways between universities and cities in terms of functional complementarity,resource sharing,and ecological symbiosis from the perspective of campus functional layout and spatial optimization.By integrating four core concepts—green ecology,intelligent technology,cultural inheritance,and traffic optimization—it proposes a design strategy of“breaking boundaries and multi-dimensional linkage,”aiming to construct a new spatial paradigm of urban-university integration and provide theoretical support and practical references for the development of higher education and urbanization in Xiong’an New Area.
文摘As a renowned historical and cultural city,Luoyang boasts a wealth of tourism resources,including sports venues,natural landscapes,and cultural heritage sites,laying a solid foundation for the integrated development of the tourism industry and sports events in recent years,with remarkable achievements in practice.However,from the perspective of sports-tourism integration,Luoyang’s event tourism still faces a prominent issue of uneven development:a surge in tourists during peak seasons,leading to overcrowded attractions,and a scarcity of visitors during off-peak seasons,resulting in idle resources.This not only leads to inefficient resource utilization but also restricts the enhancement of economic benefits and hinders sustainable development.In light of this,this paper comprehensively employs literature research,case analysis,and fieldwork methods to systematically analyze the current development status of event tourism in Luoyang within the context of sports-tourism integration.The aim is to provide theoretical and practical support for achieving high-quality and balanced development of local event tourism,offering valuable references for addressing the issue of uneven development and moving towards a sustainable future.
文摘On 2 December 2024,the Chinese Association for International Understanding(CAFIU),Thai-China Culture and Economy Association(TCCEA)and the Chinese Embassy in Thailand jointly hosted the Civilisation Lecture Series event themed Enhancing Exchanges and Integration among Civilisations and Writing A New Chapter of China-Thailand Brotherhood Relations.CAFIU President Ji Bingxuan,who was on a visit in Thailand,attended the event and delivered a keynote speech.
