In the age of big data,ensuring data privacy while enabling efficient encrypted data retrieval has become a critical challenge.Traditional searchable encryption schemes face difficulties in handling complex semantic q...In the age of big data,ensuring data privacy while enabling efficient encrypted data retrieval has become a critical challenge.Traditional searchable encryption schemes face difficulties in handling complex semantic queries.Additionally,they typically rely on honest but curious cloud servers,which introduces the risk of repudiation.Furthermore,the combined operations of search and verification increase system load,thereby reducing performance.Traditional verification mechanisms,which rely on complex hash constructions,suffer from low verification efficiency.To address these challenges,this paper proposes a blockchain-based contextual semantic-aware ciphertext retrieval scheme with efficient verification.Building on existing single and multi-keyword search methods,the scheme uses vector models to semantically train the dataset,enabling it to retain semantic information and achieve context-aware encrypted retrieval,significantly improving search accuracy.Additionally,a blockchain-based updatable master-slave chain storage model is designed,where the master chain stores encrypted keyword indexes and the slave chain stores verification information generated by zero-knowledge proofs,thus balancing system load while improving search and verification efficiency.Finally,an improved non-interactive zero-knowledge proof mechanism is introduced,reducing the computational complexity of verification and ensuring efficient validation of search results.Experimental results demonstrate that the proposed scheme offers stronger security,balanced overhead,and higher search verification efficiency.展开更多
High-resolution remote sensing images(HRSIs)are now an essential data source for gathering surface information due to advancements in remote sensing data capture technologies.However,their significant scale changes an...High-resolution remote sensing images(HRSIs)are now an essential data source for gathering surface information due to advancements in remote sensing data capture technologies.However,their significant scale changes and wealth of spatial details pose challenges for semantic segmentation.While convolutional neural networks(CNNs)excel at capturing local features,they are limited in modeling long-range dependencies.Conversely,transformers utilize multihead self-attention to integrate global context effectively,but this approach often incurs a high computational cost.This paper proposes a global-local multiscale context network(GLMCNet)to extract both global and local multiscale contextual information from HRSIs.A detail-enhanced filtering module(DEFM)is proposed at the end of the encoder to refine the encoder outputs further,thereby enhancing the key details extracted by the encoder and effectively suppressing redundant information.In addition,a global-local multiscale transformer block(GLMTB)is proposed in the decoding stage to enable the modeling of rich multiscale global and local information.We also design a stair fusion mechanism to transmit deep semantic information from deep to shallow layers progressively.Finally,we propose the semantic awareness enhancement module(SAEM),which further enhances the representation of multiscale semantic features through spatial attention and covariance channel attention.Extensive ablation analyses and comparative experiments were conducted to evaluate the performance of the proposed method.Specifically,our method achieved a mean Intersection over Union(mIoU)of 86.89%on the ISPRS Potsdam dataset and 84.34%on the ISPRS Vaihingen dataset,outperforming existing models such as ABCNet and BANet.展开更多
Anti-Japanese War Cultural Activity is the cultural activity full of gunpowder. It is based on the politics, taking the crowed as the object, taking the criticism as the weapon, changing with the times. It hasthe sign...Anti-Japanese War Cultural Activity is the cultural activity full of gunpowder. It is based on the politics, taking the crowed as the object, taking the criticism as the weapon, changing with the times. It hasthe significance of milestone of national cultural activity.展开更多
This paper takes the Wudang Mountains and Wuhan Battle Memorial Hall as examples to investigate and analyze the losses of Wuhan during the Anti-Japanese War.The paper concludes with two inspirations:to make full use o...This paper takes the Wudang Mountains and Wuhan Battle Memorial Hall as examples to investigate and analyze the losses of Wuhan during the Anti-Japanese War.The paper concludes with two inspirations:to make full use of the intangible cultural heritage spots to carry out patriotism education for primary and middle school students;and to effectively transform the cultural resources of the tourist spots in Hubei Province into cultural industries,in order to achieve the sustainable development of intangible cultural resources of Hubei Province tourist attractions.展开更多
Playing a major role on social education in Shanxi anti-Japanese base area,the winter study movement is a popular education movement implemented by the Communist Party of China,which takes into consideration the base ...Playing a major role on social education in Shanxi anti-Japanese base area,the winter study movement is a popular education movement implemented by the Communist Party of China,which takes into consideration the base area’s reality and makes full use of the leisure time in winter of rural area.With a wide coverage of education in culture,politics,daily life,anti-Japanese war as well as other aspects.The winter study movement provides efficient education to rural peasants,achieving great effects on mobilization on the masses of the people.This paper focuses on the original archives of the grassroots,conveying comprehensive analysis on the institutional arrangement,organizational mechanism and specific implementation of the winter study movement,thus to provide an overall understanding of the winter study movement in Shanxi anti-Japanese base area from the perspective of mass mobilization.展开更多
As one of the important art forms during the Anti-Japanese War in China, woodcut is not only a tool for literary and artistic workers to express the spirit of Anti-Japanese War, but also a medium to inspire the people...As one of the important art forms during the Anti-Japanese War in China, woodcut is not only a tool for literary and artistic workers to express the spirit of Anti-Japanese War, but also a medium to inspire the people and arouse patriotic feelings. Through a systematic analysis of the historical background and artistic characteristics of woodcuts of the Anti-Japanese War and their impact on the national spiritual identity of young people, this paper aims to explore how woodcuts enlightens and inspires young people’s national consciousness through visual language and spiritual connotation, and enhances their sense of belonging to the country and the nation.展开更多
The national government wants to penetrate into the grass-roots unit after the triumph of the Anti-Japanese War in the recovery area.Through the reorganization of the Baojia system,the government expects to achieve lo...The national government wants to penetrate into the grass-roots unit after the triumph of the Anti-Japanese War in the recovery area.Through the reorganization of the Baojia system,the government expects to achieve local autonomy and then solve the people’s livelihood issues.The new Baojia system provides a platform for people to achieve their own demands,which presents the vision of civil rights to a certain extent.However,because of the complexity of the postwar social environment,the Baojia system cannot completely represent the will of the people,and finally becomes a militarized organization that was used as a tool to carry out the government decree.展开更多
As a typical Lenin-style political party,what should be concerned most is the CPC’s (Communist Party of China) capacity in fighting against and clearing enemies.This study provides a distinct perspective to observe a...As a typical Lenin-style political party,what should be concerned most is the CPC’s (Communist Party of China) capacity in fighting against and clearing enemies.This study provides a distinct perspective to observe and recognize CPC’s ability of turning hostility into friendship.Japanese prisoners of war (POW) had been poisoned by ultra-nationalism and militarism for years,and thus were extremely difficult to be reformed.However,under the correct ideological guidance of Mao and the unremitting efforts of the CPC’s political officers and cadres,a great number of them acknowledged the CPC’s political ideology and joined the CPC’s team.展开更多
The anti-Japanese woodcuts focus on the red revolutionary culture and describe the connotation of the Anti-Japanese War era,which is self-evident in the commemorative value of China’s revolutionary struggle history.F...The anti-Japanese woodcuts focus on the red revolutionary culture and describe the connotation of the Anti-Japanese War era,which is self-evident in the commemorative value of China’s revolutionary struggle history.For example,in Shanxi,China,woodcut art activities and social practice promotion activities organized around the theme of the Anti-Japanese War are also everywhere,which all show the people’s nature of the Chinese people during the revolutionary struggle from the two aspects of the red culture of the Anti-Japanese War and traditional art and culture,and its humanistic connotation is quite profound.In this paper,we first introduce the historical origin of woodcut during the Anti-Japanese War,and then show the people’s value connotation of woodcut art activities in Shanxi.This paper mainly discusses the image narration,language and picture narration and construction significance of woodcuts in Shanxi’s War of Resistance,fully reveals the narrative nature of image media,strives to arouse people’s recognition of this period of Shanxi’s War of Resistance culture and history,and reflects the realistic value and significance of Shanxi’s War of Resistance Woodcuts art activities.展开更多
Based on the contextual adaptation perspective of Verschueren’s Adaptation Theory,this paper explores the Chinese translation strategies of Japanese quotation sentences in the Yang translation of The Courage of One f...Based on the contextual adaptation perspective of Verschueren’s Adaptation Theory,this paper explores the Chinese translation strategies of Japanese quotation sentences in the Yang translation of The Courage of One from the perspectives of communicative context and linguistic context.The study finds that the Chinese translation of Japanese quotation sentences involves various strategies,including retaining direct quotations,converting direct quotations into statements,transforming direct quotations into attributive+noun forms,and alternating between direct and indirect quotations.This research provides a new perspective for the Chinese translation of Japanese quotation sentences and offers theoretical support for translation practices in cross-cultural communication.展开更多
The current study investigated how language context and word frequency influenced vowel perception of Chinese-Japanese cognates among Chinese learners of Japanese.Focusing on orthographic cognates,participants perform...The current study investigated how language context and word frequency influenced vowel perception of Chinese-Japanese cognates among Chinese learners of Japanese.Focusing on orthographic cognates,participants performed a vowel detection task on cognates,manipulating language context and target language(Chinese vs.Japanese),as well as word frequency(high vs.low).We measured reaction times,perceptual sensitivity,and response criterion.For high-frequency words,consistent language contexts facilitated faster vowel detection in both languages.However,in low-frequency conditions,participants showed higher perceptual sensitivity to Chinese targets and more conservative response criteria for Japanese targets,regardless of context.These findings revealed the complex interplay between word frequency,language dominance,and context in cross-language processing.Our study contributed to the understanding of vowel perception in languages with shared orthography but distinct phonological systems,offering insights for models of cross-language cognition and second language education.Furthermore,it highlighted the importance of considering both word frequency and language-specific features in cross-language studies.展开更多
In recent years,the rapid integration of artificial intelligence(AI)with various industries has led to an intelligent transformation in people’s learning and working patterns.In the field of higher vocational public ...In recent years,the rapid integration of artificial intelligence(AI)with various industries has led to an intelligent transformation in people’s learning and working patterns.In the field of higher vocational public music course teaching,AI provides intelligent teaching tools and learning platforms,while offering students timely and scientific support and companionship,enabling them to complete learning tasks more efficiently.How to explore the transformation path of teaching modes for higher vocational public music courses in the AI context has become a key consideration for frontline teachers.Based on this,this paper first analyzes the significance of teaching higher vocational public music courses in the AI context,and then proposes feasible transformation paths for teaching modes in combination with course characteristics for reference.展开更多
Background Three-dimensional(3D)shape representation using mesh data is essential in various applications,such as virtual reality and simulation technologies.Current methods for extracting features from mesh edges or ...Background Three-dimensional(3D)shape representation using mesh data is essential in various applications,such as virtual reality and simulation technologies.Current methods for extracting features from mesh edges or faces struggle with complex 3D models because edge-based approaches miss global contexts and face-based methods overlook variations in adjacent areas,which affects the overall precision.To address these issues,we propose the Feature Discrimination and Context Propagation Network(FDCPNet),which is a novel approach that synergistically integrates local and global features in mesh datasets.Methods FDCPNet is composed of two modules:(1)the Feature Discrimination Module,which employs an attention mechanism to enhance the identification of key local features,and(2)the Context Propagation Module,which enriches key local features by integrating global contextual information,thereby facilitating a more detailed and comprehensive representation of crucial areas within the mesh model.Results Experiments on popular datasets validated the effectiveness of FDCPNet,showing an improvement in the classification accuracy over the baseline MeshNet.Furthermore,even with reduced mesh face numbers and limited training data,FDCPNet achieved promising results,demonstrating its robustness in scenarios of variable complexity.展开更多
Conventional model transfer techniques,requiring the labelled source data,are not applicable in the privacy-protected medical fields.For the challenging scenarios,recent source data-free domain adaptation(SFDA)has bec...Conventional model transfer techniques,requiring the labelled source data,are not applicable in the privacy-protected medical fields.For the challenging scenarios,recent source data-free domain adaptation(SFDA)has become a mainstream solution but losing focus on the inter-sample class information.This paper proposes a new Credible Local Context Representation approach for SFDA.Our main idea is to exploit the credible local context for more discriminative representation.Specifically,we enhance the source model's discrimination by information regulating.To capture the context,a discovery method is developed that performs fixed steps walking in deep space and takes the credible features in this path as the context.In the epoch-wise adaptation,deep clustering-like training is conducted with two major updates.First,the context for all target data is constructed and then the context-fused pseudo-labels providing semantic guidance are generated.Second,for each target data,a weighting fusion on its context forms the anchored neighbourhood structure;thus,the deep clustering is switched from individual-based to coarse-grained.Also,a new regularisation building is developed on the anchored neighbourhood to drive the deep coarse-grained learning.Experiments on three benchmarks indicate that the proposed method can achieve stateof-the-art results.展开更多
Digital rural governance is a micro-level governance practice within the broader framework of building a Digital China.It involves the integration of digital technology into rural governance to drive the digital trans...Digital rural governance is a micro-level governance practice within the broader framework of building a Digital China.It involves the integration of digital technology into rural governance to drive the digital transformation of rural governance.In recognition of the varied development stages of digital rural governance,the concept of“digital context”provides an analytical lens for exploring the differences in practical models of digital rural governance.By examining the contextual characteristics and differential mechanisms of digital rural governance,this paper delves into its social foundation and technological adaptation.The research finds that the context of digital rural governance primarily encompasses three dimensions:contextual foundation,contextual logic,and contextual optimization.First,the contextual foundation of digital rural governance manifests as the social basis,comprising the social structure of villages,the type of village development,and the age structure of villagers,which constitute the social stratification forms underlying digital rural governance.Second,the contextual logic of digital rural governance focuses on the adaptation of digital technology to rural governance,promoting the adaptation of digital technology to the rural governance foundation,village governance scenarios,and villagers’digital capabilities.Third,the contextual optimization of digital rural governance emphasizes integrating digital technology with both administrative and livelihood-oriented governance affairs at the village level.This approach leverages the governance value and functional potential of digital technology to streamline digital governance processes and enhance digital governance capabilities.As a developmental direction for the transformation of rural governance,digital rural governance must not only highlight the governance advantages of digital technology but also prioritize the inherent context of rural governance.It aims to enhance the effectiveness of rural governance through digital technology and advance high-quality digital village development tailored to local conditions.展开更多
Ship detection in synthetic aperture radar(SAR)image is crucial for marine surveillance and navigation.The application of detection network based on deep learning has achieved a promising result in SAR ship detection....Ship detection in synthetic aperture radar(SAR)image is crucial for marine surveillance and navigation.The application of detection network based on deep learning has achieved a promising result in SAR ship detection.However,the existing networks encounters challenges due to the complex backgrounds,diverse scales and irregular distribution of ship targets.To address these issues,this article proposes a detection algorithm that integrates global context of the images(GCF-Net).First,we construct a global feature extraction module in the backbone network of GCF-Net,which encodes features along different spatial directions.Then,we incorporate bi-directional feature pyramid network(BiFPN)in the neck network to fuse the multi-scale features selectively.Finally,we design a convolution and transformer mixed(CTM)detection head to obtain contextual information of targets and concentrate network attention on the most informative regions of the images.Experimental results demonstrate that the proposed method achieves more accurate detection of ship targets in SAR images.展开更多
Segmentation of the retinal vessels in the fundus is crucial for diagnosing ocular diseases.Retinal vessel images often suffer from category imbalance and large scale variations.This ultimately results in incomplete v...Segmentation of the retinal vessels in the fundus is crucial for diagnosing ocular diseases.Retinal vessel images often suffer from category imbalance and large scale variations.This ultimately results in incomplete vessel segmentation and poor continuity.In this study,we propose CT-MFENet to address the aforementioned issues.First,the use of context transformer(CT)allows for the integration of contextual feature information,which helps establish the connection between pixels and solve the problem of incomplete vessel continuity.Second,multi-scale dense residual networks are used instead of traditional CNN to address the issue of inadequate local feature extraction when the model encounters vessels at multiple scales.In the decoding stage,we introduce a local-global fusion module.It enhances the localization of vascular information and reduces the semantic gap between high-and low-level features.To address the class imbalance in retinal images,we propose a hybrid loss function that enhances the segmentation ability of the model for topological structures.We conducted experiments on the publicly available DRIVE,CHASEDB1,STARE,and IOSTAR datasets.The experimental results show that our CT-MFENet performs better than most existing methods,including the baseline U-Net.展开更多
With the development of modern educational concepts and technologies,corporate financial audit is facing unprecedented challenges and opportunities.This paper first analyzes the new characteristics of corporate financ...With the development of modern educational concepts and technologies,corporate financial audit is facing unprecedented challenges and opportunities.This paper first analyzes the new characteristics of corporate financial audit in the context of modern education,including the widespread application of digital audit tools,the diversification of audit content,and the increased requirements for audit efficiency.Then,it explores the innovative practices in corporate financial audit,such as the introduction of big data analysis technology,the construction of intelligent audit platforms,and the implementation of continuous audit.The paper also conducts an in-depth study on the impact of these innovative practices on the processes,quality,and risk management of corporate financial audit.Finally,it summarizes the effectiveness of the innovation and practice of corporate financial audit in the context of modern education,and looks forward to future development trends,providing references for theoretical research and practical operations in related fields.展开更多
基金supported in part by the National Natural Science Foundation of China under Grant 62262073in part by the Yunnan Provincial Ten Thousand People Program for Young Top Talents under Grant YNWR-QNBJ-2019-237in part by the Yunnan Provincial Major Science and Technology Special Program under Grant 202402AD080002.
文摘In the age of big data,ensuring data privacy while enabling efficient encrypted data retrieval has become a critical challenge.Traditional searchable encryption schemes face difficulties in handling complex semantic queries.Additionally,they typically rely on honest but curious cloud servers,which introduces the risk of repudiation.Furthermore,the combined operations of search and verification increase system load,thereby reducing performance.Traditional verification mechanisms,which rely on complex hash constructions,suffer from low verification efficiency.To address these challenges,this paper proposes a blockchain-based contextual semantic-aware ciphertext retrieval scheme with efficient verification.Building on existing single and multi-keyword search methods,the scheme uses vector models to semantically train the dataset,enabling it to retain semantic information and achieve context-aware encrypted retrieval,significantly improving search accuracy.Additionally,a blockchain-based updatable master-slave chain storage model is designed,where the master chain stores encrypted keyword indexes and the slave chain stores verification information generated by zero-knowledge proofs,thus balancing system load while improving search and verification efficiency.Finally,an improved non-interactive zero-knowledge proof mechanism is introduced,reducing the computational complexity of verification and ensuring efficient validation of search results.Experimental results demonstrate that the proposed scheme offers stronger security,balanced overhead,and higher search verification efficiency.
基金provided by the Science Research Project of Hebei Education Department under grant No.BJK2024115.
文摘High-resolution remote sensing images(HRSIs)are now an essential data source for gathering surface information due to advancements in remote sensing data capture technologies.However,their significant scale changes and wealth of spatial details pose challenges for semantic segmentation.While convolutional neural networks(CNNs)excel at capturing local features,they are limited in modeling long-range dependencies.Conversely,transformers utilize multihead self-attention to integrate global context effectively,but this approach often incurs a high computational cost.This paper proposes a global-local multiscale context network(GLMCNet)to extract both global and local multiscale contextual information from HRSIs.A detail-enhanced filtering module(DEFM)is proposed at the end of the encoder to refine the encoder outputs further,thereby enhancing the key details extracted by the encoder and effectively suppressing redundant information.In addition,a global-local multiscale transformer block(GLMTB)is proposed in the decoding stage to enable the modeling of rich multiscale global and local information.We also design a stair fusion mechanism to transmit deep semantic information from deep to shallow layers progressively.Finally,we propose the semantic awareness enhancement module(SAEM),which further enhances the representation of multiscale semantic features through spatial attention and covariance channel attention.Extensive ablation analyses and comparative experiments were conducted to evaluate the performance of the proposed method.Specifically,our method achieved a mean Intersection over Union(mIoU)of 86.89%on the ISPRS Potsdam dataset and 84.34%on the ISPRS Vaihingen dataset,outperforming existing models such as ABCNet and BANet.
文摘Anti-Japanese War Cultural Activity is the cultural activity full of gunpowder. It is based on the politics, taking the crowed as the object, taking the criticism as the weapon, changing with the times. It hasthe significance of milestone of national cultural activity.
基金This paper is one of the research results of the Humanities and Social Science Project of the Ministry of Education,“Research on the crime of Japanese army destroying documents in central China during the Anti-japanese war—Taking University libraries,museums and archives collections as an example”(item number:15YJA770016).
文摘This paper takes the Wudang Mountains and Wuhan Battle Memorial Hall as examples to investigate and analyze the losses of Wuhan during the Anti-Japanese War.The paper concludes with two inspirations:to make full use of the intangible cultural heritage spots to carry out patriotism education for primary and middle school students;and to effectively transform the cultural resources of the tourist spots in Hubei Province into cultural industries,in order to achieve the sustainable development of intangible cultural resources of Hubei Province tourist attractions.
基金This paper is supported by the project of Shanxi province philosophy and social science research in higher school in 2018“Research on the tradition of social eduction in the communist bases—base on the investigation of Shanxi base areas“(Grant No.201803037)the project of Shanxi province philosophy and social science planning in 2020“Research on the social education textbooks in Shanxi Revolutionary Base from the perspective of mass mobilization”(Grant No.2020YJ009).
文摘Playing a major role on social education in Shanxi anti-Japanese base area,the winter study movement is a popular education movement implemented by the Communist Party of China,which takes into consideration the base area’s reality and makes full use of the leisure time in winter of rural area.With a wide coverage of education in culture,politics,daily life,anti-Japanese war as well as other aspects.The winter study movement provides efficient education to rural peasants,achieving great effects on mobilization on the masses of the people.This paper focuses on the original archives of the grassroots,conveying comprehensive analysis on the institutional arrangement,organizational mechanism and specific implementation of the winter study movement,thus to provide an overall understanding of the winter study movement in Shanxi anti-Japanese base area from the perspective of mass mobilization.
文摘As one of the important art forms during the Anti-Japanese War in China, woodcut is not only a tool for literary and artistic workers to express the spirit of Anti-Japanese War, but also a medium to inspire the people and arouse patriotic feelings. Through a systematic analysis of the historical background and artistic characteristics of woodcuts of the Anti-Japanese War and their impact on the national spiritual identity of young people, this paper aims to explore how woodcuts enlightens and inspires young people’s national consciousness through visual language and spiritual connotation, and enhances their sense of belonging to the country and the nation.
文摘The national government wants to penetrate into the grass-roots unit after the triumph of the Anti-Japanese War in the recovery area.Through the reorganization of the Baojia system,the government expects to achieve local autonomy and then solve the people’s livelihood issues.The new Baojia system provides a platform for people to achieve their own demands,which presents the vision of civil rights to a certain extent.However,because of the complexity of the postwar social environment,the Baojia system cannot completely represent the will of the people,and finally becomes a militarized organization that was used as a tool to carry out the government decree.
文摘As a typical Lenin-style political party,what should be concerned most is the CPC’s (Communist Party of China) capacity in fighting against and clearing enemies.This study provides a distinct perspective to observe and recognize CPC’s ability of turning hostility into friendship.Japanese prisoners of war (POW) had been poisoned by ultra-nationalism and militarism for years,and thus were extremely difficult to be reformed.However,under the correct ideological guidance of Mao and the unremitting efforts of the CPC’s political officers and cadres,a great number of them acknowledged the CPC’s political ideology and joined the CPC’s team.
文摘The anti-Japanese woodcuts focus on the red revolutionary culture and describe the connotation of the Anti-Japanese War era,which is self-evident in the commemorative value of China’s revolutionary struggle history.For example,in Shanxi,China,woodcut art activities and social practice promotion activities organized around the theme of the Anti-Japanese War are also everywhere,which all show the people’s nature of the Chinese people during the revolutionary struggle from the two aspects of the red culture of the Anti-Japanese War and traditional art and culture,and its humanistic connotation is quite profound.In this paper,we first introduce the historical origin of woodcut during the Anti-Japanese War,and then show the people’s value connotation of woodcut art activities in Shanxi.This paper mainly discusses the image narration,language and picture narration and construction significance of woodcuts in Shanxi’s War of Resistance,fully reveals the narrative nature of image media,strives to arouse people’s recognition of this period of Shanxi’s War of Resistance culture and history,and reflects the realistic value and significance of Shanxi’s War of Resistance Woodcuts art activities.
文摘Based on the contextual adaptation perspective of Verschueren’s Adaptation Theory,this paper explores the Chinese translation strategies of Japanese quotation sentences in the Yang translation of The Courage of One from the perspectives of communicative context and linguistic context.The study finds that the Chinese translation of Japanese quotation sentences involves various strategies,including retaining direct quotations,converting direct quotations into statements,transforming direct quotations into attributive+noun forms,and alternating between direct and indirect quotations.This research provides a new perspective for the Chinese translation of Japanese quotation sentences and offers theoretical support for translation practices in cross-cultural communication.
文摘The current study investigated how language context and word frequency influenced vowel perception of Chinese-Japanese cognates among Chinese learners of Japanese.Focusing on orthographic cognates,participants performed a vowel detection task on cognates,manipulating language context and target language(Chinese vs.Japanese),as well as word frequency(high vs.low).We measured reaction times,perceptual sensitivity,and response criterion.For high-frequency words,consistent language contexts facilitated faster vowel detection in both languages.However,in low-frequency conditions,participants showed higher perceptual sensitivity to Chinese targets and more conservative response criteria for Japanese targets,regardless of context.These findings revealed the complex interplay between word frequency,language dominance,and context in cross-language processing.Our study contributed to the understanding of vowel perception in languages with shared orthography but distinct phonological systems,offering insights for models of cross-language cognition and second language education.Furthermore,it highlighted the importance of considering both word frequency and language-specific features in cross-language studies.
文摘In recent years,the rapid integration of artificial intelligence(AI)with various industries has led to an intelligent transformation in people’s learning and working patterns.In the field of higher vocational public music course teaching,AI provides intelligent teaching tools and learning platforms,while offering students timely and scientific support and companionship,enabling them to complete learning tasks more efficiently.How to explore the transformation path of teaching modes for higher vocational public music courses in the AI context has become a key consideration for frontline teachers.Based on this,this paper first analyzes the significance of teaching higher vocational public music courses in the AI context,and then proposes feasible transformation paths for teaching modes in combination with course characteristics for reference.
基金Supported by the National Key R&D Program of China(2022YFC3803600).
文摘Background Three-dimensional(3D)shape representation using mesh data is essential in various applications,such as virtual reality and simulation technologies.Current methods for extracting features from mesh edges or faces struggle with complex 3D models because edge-based approaches miss global contexts and face-based methods overlook variations in adjacent areas,which affects the overall precision.To address these issues,we propose the Feature Discrimination and Context Propagation Network(FDCPNet),which is a novel approach that synergistically integrates local and global features in mesh datasets.Methods FDCPNet is composed of two modules:(1)the Feature Discrimination Module,which employs an attention mechanism to enhance the identification of key local features,and(2)the Context Propagation Module,which enriches key local features by integrating global contextual information,thereby facilitating a more detailed and comprehensive representation of crucial areas within the mesh model.Results Experiments on popular datasets validated the effectiveness of FDCPNet,showing an improvement in the classification accuracy over the baseline MeshNet.Furthermore,even with reduced mesh face numbers and limited training data,FDCPNet achieved promising results,demonstrating its robustness in scenarios of variable complexity.
基金National Key R&D Program of China,Grant/Award Numbers:2018YFE0203900,2020YFB1313600German Research Foundation,Hamburg Landesforschungsförderungsprojekt Cross,Grant/Award Number:Sonderforschungsbereich Transregio 169+2 种基金Shanghai Artificial Intelligence Innovation Development Special Support Project,Grant/Award Number:3920365001Horizon2020 RISE project STEP2DYNA,Grant/Award Number:691154National Natural Science Foundation of China,Grant/Award Numbers:61773083,62206168,62276048,U1813202。
文摘Conventional model transfer techniques,requiring the labelled source data,are not applicable in the privacy-protected medical fields.For the challenging scenarios,recent source data-free domain adaptation(SFDA)has become a mainstream solution but losing focus on the inter-sample class information.This paper proposes a new Credible Local Context Representation approach for SFDA.Our main idea is to exploit the credible local context for more discriminative representation.Specifically,we enhance the source model's discrimination by information regulating.To capture the context,a discovery method is developed that performs fixed steps walking in deep space and takes the credible features in this path as the context.In the epoch-wise adaptation,deep clustering-like training is conducted with two major updates.First,the context for all target data is constructed and then the context-fused pseudo-labels providing semantic guidance are generated.Second,for each target data,a weighting fusion on its context forms the anchored neighbourhood structure;thus,the deep clustering is switched from individual-based to coarse-grained.Also,a new regularisation building is developed on the anchored neighbourhood to drive the deep coarse-grained learning.Experiments on three benchmarks indicate that the proposed method can achieve stateof-the-art results.
基金funded by the“Digital Governance Transformation in Rural Spatial Changes”(ID:22CSH015)a Youth Project under the National Social Science Fund of China.
文摘Digital rural governance is a micro-level governance practice within the broader framework of building a Digital China.It involves the integration of digital technology into rural governance to drive the digital transformation of rural governance.In recognition of the varied development stages of digital rural governance,the concept of“digital context”provides an analytical lens for exploring the differences in practical models of digital rural governance.By examining the contextual characteristics and differential mechanisms of digital rural governance,this paper delves into its social foundation and technological adaptation.The research finds that the context of digital rural governance primarily encompasses three dimensions:contextual foundation,contextual logic,and contextual optimization.First,the contextual foundation of digital rural governance manifests as the social basis,comprising the social structure of villages,the type of village development,and the age structure of villagers,which constitute the social stratification forms underlying digital rural governance.Second,the contextual logic of digital rural governance focuses on the adaptation of digital technology to rural governance,promoting the adaptation of digital technology to the rural governance foundation,village governance scenarios,and villagers’digital capabilities.Third,the contextual optimization of digital rural governance emphasizes integrating digital technology with both administrative and livelihood-oriented governance affairs at the village level.This approach leverages the governance value and functional potential of digital technology to streamline digital governance processes and enhance digital governance capabilities.As a developmental direction for the transformation of rural governance,digital rural governance must not only highlight the governance advantages of digital technology but also prioritize the inherent context of rural governance.It aims to enhance the effectiveness of rural governance through digital technology and advance high-quality digital village development tailored to local conditions.
基金supported by the National Science Fund for Distinguished Young Scholars(No.62325104).
文摘Ship detection in synthetic aperture radar(SAR)image is crucial for marine surveillance and navigation.The application of detection network based on deep learning has achieved a promising result in SAR ship detection.However,the existing networks encounters challenges due to the complex backgrounds,diverse scales and irregular distribution of ship targets.To address these issues,this article proposes a detection algorithm that integrates global context of the images(GCF-Net).First,we construct a global feature extraction module in the backbone network of GCF-Net,which encodes features along different spatial directions.Then,we incorporate bi-directional feature pyramid network(BiFPN)in the neck network to fuse the multi-scale features selectively.Finally,we design a convolution and transformer mixed(CTM)detection head to obtain contextual information of targets and concentrate network attention on the most informative regions of the images.Experimental results demonstrate that the proposed method achieves more accurate detection of ship targets in SAR images.
基金the National Natural Science Foundation of China(No.62266025)。
文摘Segmentation of the retinal vessels in the fundus is crucial for diagnosing ocular diseases.Retinal vessel images often suffer from category imbalance and large scale variations.This ultimately results in incomplete vessel segmentation and poor continuity.In this study,we propose CT-MFENet to address the aforementioned issues.First,the use of context transformer(CT)allows for the integration of contextual feature information,which helps establish the connection between pixels and solve the problem of incomplete vessel continuity.Second,multi-scale dense residual networks are used instead of traditional CNN to address the issue of inadequate local feature extraction when the model encounters vessels at multiple scales.In the decoding stage,we introduce a local-global fusion module.It enhances the localization of vascular information and reduces the semantic gap between high-and low-level features.To address the class imbalance in retinal images,we propose a hybrid loss function that enhances the segmentation ability of the model for topological structures.We conducted experiments on the publicly available DRIVE,CHASEDB1,STARE,and IOSTAR datasets.The experimental results show that our CT-MFENet performs better than most existing methods,including the baseline U-Net.
文摘With the development of modern educational concepts and technologies,corporate financial audit is facing unprecedented challenges and opportunities.This paper first analyzes the new characteristics of corporate financial audit in the context of modern education,including the widespread application of digital audit tools,the diversification of audit content,and the increased requirements for audit efficiency.Then,it explores the innovative practices in corporate financial audit,such as the introduction of big data analysis technology,the construction of intelligent audit platforms,and the implementation of continuous audit.The paper also conducts an in-depth study on the impact of these innovative practices on the processes,quality,and risk management of corporate financial audit.Finally,it summarizes the effectiveness of the innovation and practice of corporate financial audit in the context of modern education,and looks forward to future development trends,providing references for theoretical research and practical operations in related fields.
