During 13 to 16 January 2026,with 148 participating nations,rising global relevance and a marked increase in visitor quality,Heimtextil 2026 stood for stability and reliability in a volatile market environment.Once ag...During 13 to 16 January 2026,with 148 participating nations,rising global relevance and a marked increase in visitor quality,Heimtextil 2026 stood for stability and reliability in a volatile market environment.Once again,3,000 exhibitors from across the globe placed their trust in the industry’s central platform in Frankfurt,presenting current collections,materials and textile solutions for holistic interior design to approximately 47,000 buyers.Under the motto“Lead the Change”,Heimtextil brought evolving market dynamics,Artificial Intelligence(AI)and new business opportunities to life.The focus was on progressive design approaches,visionary talents,functional textiles and new hospitality concepts shaping the future of interior design.A tangible sense of confidence and a clear commitment to Heimtextil as a strong industry partner resonated throughout the exhibition halls.展开更多
Alzheimer’s disease-associated transcriptomic landscapes have been defined in brain tissue.However,changes in blood RNA and their clinical relevance remain poorly understood.In this study,we developed an RNA profile ...Alzheimer’s disease-associated transcriptomic landscapes have been defined in brain tissue.However,changes in blood RNA and their clinical relevance remain poorly understood.In this study,we developed an RNA profile based on 1468 blood samples from both human and mouse studies,which include bulk RNA sequencing(RNA-seq),microRNA-seq,and single-cell RNA-seq data.We developed a comprehensive analysis pipeline that conducted over 11 million comparisons and correlations to identify more than 20,000 blood features.With these findings,we established a blood RNA database related to Alzheimer’s disease,RNAs in Blood of AD(RBAD,http://www.bioinform.cn/RBAD/).Using RBAD,we initially validated well-established Alzheimer’s disease-related pathways,including olfactory transduction.We then observed a decrease in both the proportion and functionality of erythroid cells,likely attributed to their elevated CD45 levels and interactions with GZMK^(+)CD8^(+)T cells.Furthermore,we identified 449 blood RNAs linked to patients’overall survival,along with two mRNAs(H4C3 and CTU1)associated with cognitive decline.In summary,RBAD is the first web-based analysis platform dedicated to investigating blood RNA changes in Alzheimer’s disease,and provides valuable insights into potential peripheral biomarkers and pathogenic mechanisms related to Alzheimer’s disease.展开更多
This paper focuses on the teaching of tea culture terminology translation against the backdrop of digital transformation in education.Based on the theory of pragmatic relevance,the research emphasizes shifting the foc...This paper focuses on the teaching of tea culture terminology translation against the backdrop of digital transformation in education.Based on the theory of pragmatic relevance,the research emphasizes shifting the focus of translation from static linguistic equivalence to more dynamic communicative effectiveness.This paper advocates the flexible application of various strategies.These include literal translation,free translation,transliteration with annotation,and adaptive translation based on the target audience’s cognitive context.The paper innovatively proposes digitally-enabled teaching implementation paths,including constructing modular online courses,building intelligent terminology case databases,conducting cloud-based workshops on translation,and implementing industry-academia collaborative project practices.These aim to reshape the teaching process utilizing digital technology,effectively cultivating higher vocational students’cultural communication abilities and practical translation skills,thereby providing high-quality language service talent support for the internationalization of Chinese tea culture.展开更多
Early and accurate cancer diagnosis through medical imaging is crucial for guiding treatment and enhancing patient survival.However,many state-of-the-art deep learning(DL)methods remain opaque and lack clinical interp...Early and accurate cancer diagnosis through medical imaging is crucial for guiding treatment and enhancing patient survival.However,many state-of-the-art deep learning(DL)methods remain opaque and lack clinical interpretability.This paper presents an explainable artificial intelligence(XAI)framework that combines a fine-tuned Visual Geometry Group 16-layer network(VGG16)convolutional neural network with layer-wise relevance propagation(LRP)to deliver high-performance classification and transparent decision support.This approach is evaluated on the publicly available Kaggle kidney cancer imaging dataset,which comprises labeled cancerous and noncancerous kidney scans.The proposed model achieved 98.75%overall accuracy,with precision,recall,and F1-score each exceeding 98%on an independent test set.Crucially,LRP-derived heatmaps consistently localize anatomically and pathologically significant regions such as tumor margins in agreement with established clinical criteria.The proposed framework enhances clinician trust by delivering pixel-level justifications alongside state-of-the-art predictive performance.It facilitates informed decision-making,thereby addressing a key barrier to the clinical adoption of DL in oncology.展开更多
A new regression algorithm of an adaptive reduced relevance vector machine is proposed to estimate the illumination chromaticity of an image for the purpose of color constancy. Within the framework of sparse Bayesian ...A new regression algorithm of an adaptive reduced relevance vector machine is proposed to estimate the illumination chromaticity of an image for the purpose of color constancy. Within the framework of sparse Bayesian learning, the algorithm extends the relevance vector machine by combining global and local kernels adaptively in the form of multiple kernels, and the improved locality preserving projection （LLP） is then applied to reduce the column dimension of the multiple kernel input matrix to achieve less training time. To estimate the illumination chromaticity, the algorithm is trained by fuzzy central values of chromaticity histograms of a set of images and the corresponding illuminants. Experiments with real images indicate that the proposed algorithm performs better than the support vector machine and the relevance vector machine while requiring less training time than the relevance vector machine.展开更多
A new method for the white blood cell （WBC） detection is presented based on the relevance vector machine （RVM）. Firstly,the sparse relevance vectors （RVs） are obtained while fitting the 1-D histogram by RVM. The...A new method for the white blood cell （WBC） detection is presented based on the relevance vector machine （RVM）. Firstly,the sparse relevance vectors （RVs） are obtained while fitting the 1-D histogram by RVM. Then,the needed threshold value is directly selected from these limited RVs. Finally,the entire connective WBC regions are segmented from the original image. The method is used for the WBC detection. It reduces the interference induced by the illumination and the staining. It has advantages of the high computation efficiency and the no extra parameter setting. Experimental results demonstrate good performances of the method.展开更多
This paper describes a novel method of online composite shape recognition interms of the relevance feedback technology to capture a user's intentions incrementally, and adynamic user modeling method to adapt to va...This paper describes a novel method of online composite shape recognition interms of the relevance feedback technology to capture a user's intentions incrementally, and adynamic user modeling method to adapt to various users' styles. First, the relevance feedback isadapted to refine the recognition results and reduce the ambiguity incrementally based on theestablishment of a feature-based vector model of a user's sketches. Secondly, a dynamic usermodeling is introduced to model the user's sketching habits based on recording and analyzinghistorical information incrementally. A model-based matching strategy is also employed in the methodto recognize sketches dynamically. Experiments prove that the proposed method is both effective andefficient.展开更多
This paper approaches advertisements on the basis of relevant theory. It elaborates how the advertiser as addresser in communication succeed in conveying his intention for publicity and how the recipient as addressee ...This paper approaches advertisements on the basis of relevant theory. It elaborates how the advertiser as addresser in communication succeed in conveying his intention for publicity and how the recipient as addressee takes advantage of different types of relevant devices in reasoning out the communicative purposes from four different angles, namely, non-stereotypical interpretation of advertisements, psychological requirements of the recipient as addressee in advertisements, advertisements as explicit information and the situational approach to implicit meanings of advertisements. It aims at providing guidance for advertisement planning and translation by means of the exposure of rules underlying advertisements.展开更多
The comprehensive evaluation of six properties for equipment product is an important basis for their quality control,and their correlative relationship among six properties will affect their quality level.To understan...The comprehensive evaluation of six properties for equipment product is an important basis for their quality control,and their correlative relationship among six properties will affect their quality level.To understand their correlative relationship among six properties,this paper firstly combines group evaluation with decision-making trial and evaluation laboratory(DEMATEL)model,and develops the optimization model based on group consensus to form six influent relationship matrices.Secondly,group consensus matrix is used to design super network hierarchy matrix,and the weights of six properties with relevant environment is also proposed.Thirdly,the elimination and choice translating reality(ELECTRE)model is used to make comprehensive evaluation,and an example is used to compare the results under two kinds of conditions,and illustrate the effect of the weights of six properties on the priority of equipment products.展开更多
Functional equivalence,a focus in the translation studies,has been bombarded with numerous criticisms.Meanwhile,relevance translation theory,proposed by Ernst-August Gutt,offers a united theoretical framework for tran...Functional equivalence,a focus in the translation studies,has been bombarded with numerous criticisms.Meanwhile,relevance translation theory,proposed by Ernst-August Gutt,offers a united theoretical framework for translation studies.The development of the translation theories does not rely on the appearance of a brand-new theory,but on the successful connection among various theories.To split or to unify,it is a question and it will direct the further development of translation studies.Analyzing the similarities and differences between these two theories,the author are striving for a unity of them and striking a better way to approach translation studies.展开更多
文摘During 13 to 16 January 2026,with 148 participating nations,rising global relevance and a marked increase in visitor quality,Heimtextil 2026 stood for stability and reliability in a volatile market environment.Once again,3,000 exhibitors from across the globe placed their trust in the industry’s central platform in Frankfurt,presenting current collections,materials and textile solutions for holistic interior design to approximately 47,000 buyers.Under the motto“Lead the Change”,Heimtextil brought evolving market dynamics,Artificial Intelligence(AI)and new business opportunities to life.The focus was on progressive design approaches,visionary talents,functional textiles and new hospitality concepts shaping the future of interior design.A tangible sense of confidence and a clear commitment to Heimtextil as a strong industry partner resonated throughout the exhibition halls.
基金supported by Research and Innovation Foundation of Wuhan Asia General Hospital,No.2022KYCX1-B10(to FH)the Natural ScienceFoundation of Hubei Province,No.2023AFB550(to FH)+2 种基金the National Natural Science Foundation of China,Nos.32400554(to FH),82371444(to YZ)theGuiding Project of the Scientific Research Program of the Department of Education of Hubei Province,No.B2021016(to FH)the Natural Science Foundationof Hubei Province,No.2024AFB853(to QW).
文摘Alzheimer’s disease-associated transcriptomic landscapes have been defined in brain tissue.However,changes in blood RNA and their clinical relevance remain poorly understood.In this study,we developed an RNA profile based on 1468 blood samples from both human and mouse studies,which include bulk RNA sequencing(RNA-seq),microRNA-seq,and single-cell RNA-seq data.We developed a comprehensive analysis pipeline that conducted over 11 million comparisons and correlations to identify more than 20,000 blood features.With these findings,we established a blood RNA database related to Alzheimer’s disease,RNAs in Blood of AD(RBAD,http://www.bioinform.cn/RBAD/).Using RBAD,we initially validated well-established Alzheimer’s disease-related pathways,including olfactory transduction.We then observed a decrease in both the proportion and functionality of erythroid cells,likely attributed to their elevated CD45 levels and interactions with GZMK^(+)CD8^(+)T cells.Furthermore,we identified 449 blood RNAs linked to patients’overall survival,along with two mRNAs(H4C3 and CTU1)associated with cognitive decline.In summary,RBAD is the first web-based analysis platform dedicated to investigating blood RNA changes in Alzheimer’s disease,and provides valuable insights into potential peripheral biomarkers and pathogenic mechanisms related to Alzheimer’s disease.
基金Special Project of Higher Education in the 2023,Educational Science Planning Project of the Leading Group Office of the Guangdong Provincial Educational Science Planning,“Research on the New Forms of Foreign Language Teaching in Guangdong Higher Vocational Colleges under the Background of Education Digitization”(Project No.:2023GXJK1052)。
文摘This paper focuses on the teaching of tea culture terminology translation against the backdrop of digital transformation in education.Based on the theory of pragmatic relevance,the research emphasizes shifting the focus of translation from static linguistic equivalence to more dynamic communicative effectiveness.This paper advocates the flexible application of various strategies.These include literal translation,free translation,transliteration with annotation,and adaptive translation based on the target audience’s cognitive context.The paper innovatively proposes digitally-enabled teaching implementation paths,including constructing modular online courses,building intelligent terminology case databases,conducting cloud-based workshops on translation,and implementing industry-academia collaborative project practices.These aim to reshape the teaching process utilizing digital technology,effectively cultivating higher vocational students’cultural communication abilities and practical translation skills,thereby providing high-quality language service talent support for the internationalization of Chinese tea culture.
基金supported through the Ongoing Research Funding Program(ORF-2025-498),King Saud University,Riyadh,Saudi Arabia.
文摘Early and accurate cancer diagnosis through medical imaging is crucial for guiding treatment and enhancing patient survival.However,many state-of-the-art deep learning(DL)methods remain opaque and lack clinical interpretability.This paper presents an explainable artificial intelligence(XAI)framework that combines a fine-tuned Visual Geometry Group 16-layer network(VGG16)convolutional neural network with layer-wise relevance propagation(LRP)to deliver high-performance classification and transparent decision support.This approach is evaluated on the publicly available Kaggle kidney cancer imaging dataset,which comprises labeled cancerous and noncancerous kidney scans.The proposed model achieved 98.75%overall accuracy,with precision,recall,and F1-score each exceeding 98%on an independent test set.Crucially,LRP-derived heatmaps consistently localize anatomically and pathologically significant regions such as tumor margins in agreement with established clinical criteria.The proposed framework enhances clinician trust by delivering pixel-level justifications alongside state-of-the-art predictive performance.It facilitates informed decision-making,thereby addressing a key barrier to the clinical adoption of DL in oncology.
基金The National Natural Science Foundation of China(No60573139)the Innovation Foundation of Xidian University forGraduates (No05008)
文摘A new regression algorithm of an adaptive reduced relevance vector machine is proposed to estimate the illumination chromaticity of an image for the purpose of color constancy. Within the framework of sparse Bayesian learning, the algorithm extends the relevance vector machine by combining global and local kernels adaptively in the form of multiple kernels, and the improved locality preserving projection （LLP） is then applied to reduce the column dimension of the multiple kernel input matrix to achieve less training time. To estimate the illumination chromaticity, the algorithm is trained by fuzzy central values of chromaticity histograms of a set of images and the corresponding illuminants. Experiments with real images indicate that the proposed algorithm performs better than the support vector machine and the relevance vector machine while requiring less training time than the relevance vector machine.
基金Supported by the National Natural Science Foundation of China (30700183)the Doctoral Foundation of Ministry of Education of China (20070294001)+1 种基金the Program for New Century Excellent Talents in University(NCET-10-0327)the Chinese Universities Scientific Foundation (2009B21014)~~
文摘A new method for the white blood cell （WBC） detection is presented based on the relevance vector machine （RVM）. Firstly,the sparse relevance vectors （RVs） are obtained while fitting the 1-D histogram by RVM. Then,the needed threshold value is directly selected from these limited RVs. Finally,the entire connective WBC regions are segmented from the original image. The method is used for the WBC detection. It reduces the interference induced by the illumination and the staining. It has advantages of the high computation efficiency and the no extra parameter setting. Experimental results demonstrate good performances of the method.
文摘This paper describes a novel method of online composite shape recognition interms of the relevance feedback technology to capture a user's intentions incrementally, and adynamic user modeling method to adapt to various users' styles. First, the relevance feedback isadapted to refine the recognition results and reduce the ambiguity incrementally based on theestablishment of a feature-based vector model of a user's sketches. Secondly, a dynamic usermodeling is introduced to model the user's sketching habits based on recording and analyzinghistorical information incrementally. A model-based matching strategy is also employed in the methodto recognize sketches dynamically. Experiments prove that the proposed method is both effective andefficient.
文摘This paper approaches advertisements on the basis of relevant theory. It elaborates how the advertiser as addresser in communication succeed in conveying his intention for publicity and how the recipient as addressee takes advantage of different types of relevant devices in reasoning out the communicative purposes from four different angles, namely, non-stereotypical interpretation of advertisements, psychological requirements of the recipient as addressee in advertisements, advertisements as explicit information and the situational approach to implicit meanings of advertisements. It aims at providing guidance for advertisement planning and translation by means of the exposure of rules underlying advertisements.
文摘The comprehensive evaluation of six properties for equipment product is an important basis for their quality control,and their correlative relationship among six properties will affect their quality level.To understand their correlative relationship among six properties,this paper firstly combines group evaluation with decision-making trial and evaluation laboratory(DEMATEL)model,and develops the optimization model based on group consensus to form six influent relationship matrices.Secondly,group consensus matrix is used to design super network hierarchy matrix,and the weights of six properties with relevant environment is also proposed.Thirdly,the elimination and choice translating reality(ELECTRE)model is used to make comprehensive evaluation,and an example is used to compare the results under two kinds of conditions,and illustrate the effect of the weights of six properties on the priority of equipment products.
文摘Functional equivalence,a focus in the translation studies,has been bombarded with numerous criticisms.Meanwhile,relevance translation theory,proposed by Ernst-August Gutt,offers a united theoretical framework for translation studies.The development of the translation theories does not rely on the appearance of a brand-new theory,but on the successful connection among various theories.To split or to unify,it is a question and it will direct the further development of translation studies.Analyzing the similarities and differences between these two theories,the author are striving for a unity of them and striking a better way to approach translation studies.
