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Multifunctional fluorescent Zn-MOF for latent fingerprint visualization,information anti-counterfeiting encryption and turn-on sensing of ciprofloxacin in river water 认领 引用
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作者 Yuying Yuan Yuting Ren +4 位作者 Yunwu Li Luomei Liu Huiyan Ma Suna Wang Jiandong Pang 《Science China Chemistry》 SCIE EI CAS CSCD 2026年第7期3435-3443,共9页
Luminescent metal-organic frameworks(MOFs)with multifunctional capabilities are highly sought after for applications in security,forensics,and environmental monitoring.Herein,a 2D Zn-MOF(LCU-133)was rationally constru... Luminescent metal-organic frameworks(MOFs)with multifunctional capabilities are highly sought after for applications in security,forensics,and environmental monitoring.Herein,a 2D Zn-MOF(LCU-133)was rationally constructed to integrate multiple functions based on intrinsic fluorescence and hostguest interaction.The intrinsic blue emission of LCU-133 enables high-resolution latent fingerprints imaging on multiple substrates,while its structural adaptability facilitates advanced information encryption via UV-responsive QR codes and anti-counterfeiting inks.Furthermore,LCU-133 demonstrates excellent fluorescence enhancement detection of ciprofloxacin(CIP)in river water,achieving low detection limits(LODs)of 0.56 and 0.25μmol/L,respectively,with high selectivity,fast response and strong anti-interference ability.In addition,using a smartphone RGB app to analyze the luminous test strips,a naked eye on-site visual quantification detection CIP is realized.Comprehensive experiments coupled with DFT calculations elucidate a photoinduced electron transfer(PET)-mediated luminescence enhancement mechanism,underscoring the role of host-guest interactions in selective recognition.This work presents a versatile single MOF-based platform that bridges diverse luminescence applications in security,forensics,and environmental sensing. 展开更多
关键词 multifunctional MOFs latent fingerprints visualization information anti-counterfeiting encryption ciprofloxacin detection luminescence enhancement mechanism
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Direct visualization of the dynamic evolution of sulfur cathodes in Li-S batteries via in situ AFM 认领 引用
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作者 Yuan Li Xu-Sheng Zhang +2 位作者 Jian-Xin Tian Shuang-Yan Lang Rui Wen 《Chinese Chemical Letters》 SCIE CAS CSCD 2026年第4期451-455,共5页
Lithium-sulfur(Li-S)batteries with the high theoretical capacity of 1675 mAh/g have attracted attention as next-generation energy storage systems.Understanding the dynamic evolution and reaction mechanisms at the inte... Lithium-sulfur(Li-S)batteries with the high theoretical capacity of 1675 mAh/g have attracted attention as next-generation energy storage systems.Understanding the dynamic evolution and reaction mechanisms at the interface between sulfur cathodes and the electrolyte is crucial to achieve a high reversible capacity of Li-S batteries.However,due to the challenges in probing the complex Li-S redox reaction,the structural and morphological changes from active sulfur to insoluble lithium sulfide(Li2S)under operating conditions remain poorly understood.Here,the behaviors during sulfur dissolution and Li2S deposition/decomposition under realistic conditions were investigated via in situ atomic force microscopy(AFM).Direct visualizations revealed that tightly stacked sulfur particles hinder essential electronic pathways within the cathode.Furthermore constructing a conductive framework promotes more uniform Li2S deposition,which was previously dispersed across the electrode surface,thus accelerating Li2S conversion kinetics during the subsequent charge process.Peak Force tunneling atomic force microscopy(TUNA)measurements effectively elucidated the correlation between nanoscale structural features and electrical conductivity under varying potentials.Real-time observations reveal the dynamic evolution and reaction mechanisms of sulfur cathodes,offering profound insights into the Li-S redox processes and guiding the rational design of advanced cathodes. 展开更多
关键词 Electrochemical atomic force microscopy Interfacial evolution In situ visualization Sulfur cathodes Li-S batteries
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Engineering a γ-glutamyl transpeptidase-activated fluorogenic probe for quantitative visualization and imaging-guided tumor resection 认领 引用
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作者 Meng Zhao Yan Chen +8 位作者 Chenshuo Zhang Jianan Ding Qiulian Mao Yuqi Zhang Yinjia Gao Yongxiang Bai Laiqing Xie Guohua Fan Haibin Shi 《Chinese Chemical Letters》 SCIE CAS CSCD 2026年第3期577-582,共6页
Quantitative visualization of pivotal biomarkers and accurate delineation of tumor lesion boundary are highly significant to assist surgeon precisely resect the tumors and reduce the risk of recurrence.Activatable flu... Quantitative visualization of pivotal biomarkers and accurate delineation of tumor lesion boundary are highly significant to assist surgeon precisely resect the tumors and reduce the risk of recurrence.Activatable fluorescent probes hold great promise for intraoperative guidance of tumor surgery with high signal-to-background ratio(SBR).Here,we report a γ-glutamyl transpeptidase(GGT)-activated fluorogenic probe Indol-Glu for quantitative visualization of GGT and fluorescence-guided tumor resection.The fluorescence of Indol-Glu was initially“off”state but was specifically activated by GGT to produce enhanced near-infrared(NIR)fluorescence(~37-fold at 741 nm).It is also accompanied by the formation of self-assemblies in the tumor microenvironment resulting in prolonged retention in tumor tissues,which was demonstrated to be able to apply for NIR imaging-guided surgical resection of GGT-overexpressed luciferase-transfected hepatocellular carcinoma(HCC/Luc)tumor.More notably,taking advantage of the ratiometric photoacoustic signal(PA690/PA800)characteristic of Indol-Glu under the digestion of GGT,quantitative visual assessment of GGT activities in various tumor models was achieved in living mice.We believe that this research work may offer a powerful tool for precise diagnosis and surgical resection of malignant tumors. 展开更多
关键词 Activatable fluorogenic probe γ-Glutamyl transpeptidase Ratiometric photoacoustic imaging Quantitative visualization NIR imaging-guided surgery
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An event visualization software based on Phoenix for the CEPC experiment 认领 引用
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作者 Yu‑Jie Zeng Tian‑Zi Song +3 位作者 Xue‑Sen Wang Yu‑Mei Zhang Tao Lin Zheng‑Yun You 《Nuclear Science and Techniques》 SCIE EI CAS CSCD 2026年第7期68-77,共10页
In high-energy physics(HEP)experiments,visualization software plays a pivotal role in detector design,offline software development,and event data analysis.The visualization tools integrate detailed detector geometries... In high-energy physics(HEP)experiments,visualization software plays a pivotal role in detector design,offline software development,and event data analysis.The visualization tools integrate detailed detector geometries with complex event data models,providing researchers with invaluable insights into experimental results.Phoenix is an emerging general-purpose visualization platform for current and next-generation HEP experiments.In this study,we developed an event display software based on Phoenix for the CEPC experiment.It offers the necessary functionalities for visualizing detector geometries and displaying event data,allowing researchers to optimize detector design,test simulation and reconstruction algorithms,and analyze event data in a visualized manner.Additionally,we discuss the future applications of the event display software,including its use in online monitoring and the potential to build virtual reality projects for enhanced data visualization. 展开更多
关键词 Visualization Event display Phoenix CEPC
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A bibliometric visualization analysis of walnut protein peptide applications:Hotspot evolution and future trends 认领 引用
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作者 Jinxia Gao Xuyan Dong +6 位作者 Jiawen Yan Chao Gao Shengxiang Gong Jiqu Xu Yan Zhang Junxia Xiao Liang Liu 《Oil Crop Science》 CAS CSCD 2026年第2期129-137,共9页
This study maps the knowledge structure of walnut protein peptide research(2012-2025)through a bibliometric analysis of 229 publications retrieved from the Web of Science Core Collection,using tools such as Bibliometr... This study maps the knowledge structure of walnut protein peptide research(2012-2025)through a bibliometric analysis of 229 publications retrieved from the Web of Science Core Collection,using tools such as Bibliometrix,VOSviewer,and CiteSpace.The results show that there is a clear publication output increase trend.China is the major contributor,South China University of Technology ranks as the top research institution,Journal of Agricultural and Food Chemistry is the core journal,and Min WH and Wang SG are the most cited authors.Furthermore,based on the most cited articles,the study finds research hotspots in the extraction of antioxidant and neuroprotective peptides,bioavailability and absorption mechanisms,and structure-activity relationships,which can be used to promote the research of walnut protein peptide and the development of walnut meal industry. 展开更多
关键词 Walnut-derived peptides Bibliometric analysis Visualization Bioactive peptides
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RiboParser/RiboShiny:an integrated platform for comprehensive analysis and visualization of Ribo-seq data 认领 引用
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作者 Shuchao Ren Yinan Li Zhipeng Zhou 《Journal of Genetics and Genomics》 SCIE CAS CSCD 2026年第1期43-57,共15页
Translation is a crucial step in gene expression.Over the past decade,the development and application of ribosome profiling(Ribo-seq)have significantly advanced our understanding of translational regulation in vivo.Ho... Translation is a crucial step in gene expression.Over the past decade,the development and application of ribosome profiling(Ribo-seq)have significantly advanced our understanding of translational regulation in vivo.However,the analysis and visualization of Ribo-seq data remain challenging.Despite the availability of various analytical pipelines,improvements in comprehensiveness,accuracy,and user-friendliness are still necessary.In this study,we develop RiboParser/RiboShiny,a robust framework for analyzing and visualizing Ribo-seq data.Building on published methods,we optimize ribosome structure-based and start/stopbased models to improve the accuracy and stability of P-site detection,even in species with a high proportion of leaderless transcripts.Leveraging these improvements,RiboParser offers comprehensive analyses,including quality control,gene-level analysis,codon-level analysis,and the analysis of Ribo-seq variants.Meanwhile,RiboShiny provides a user-friendly and adaptable platform for data visualization,facilitating deeper insights into the translational landscape.Furthermore,the integration of standardized genome annotation renders our platform universally applicable to various organisms with sequenced genomes.This framework has the potential to significantly improve the precision and efficiency of Ribo-seq data interpretation,thereby deepening our understanding of translational regulation. 展开更多
关键词 Translation Ribosome profiling Ribo-seq Selective Ribo-seq P-site detection Differentially translated genes Translation elongation speed Data visualization
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A Cloud-Based Distributed System for Story Visualization Using Stable Diffusion 认领 引用
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作者 Chuang-Chieh Lin Yung-Shen Huang Shih-Yeh Chen 《Computers, Materials & Continua》 SCIE EI 2026年第2期1751-1769,共19页
With the rapid development of generative artificial intelligence(GenAI),the task of story visualization,which transforms natural language narratives into coherent and consistent image sequences,has attracted growing r... With the rapid development of generative artificial intelligence(GenAI),the task of story visualization,which transforms natural language narratives into coherent and consistent image sequences,has attracted growing research attention.However,existing methods still face limitations in balancing multi-frame character consistency and generation efficiency,which restricts their feasibility for large-scale practical applications.To address this issue,this study proposes a modular cloud-based distributed system built on Stable Diffusion.By separating the character generation and story generation processes,and integratingmulti-feature control techniques,a cachingmechanism,and an asynchronous task queue architecture,the system enhances generation efficiency and scalability.The experimental design includes both automated and human evaluations of character consistency,performance testing,and multinode simulation.The results show that the proposed system outperforms the baseline model StoryGen in both CLIP-I and human evaluation metrics.In terms of performance,under the experimental environment of this study,dual-node deployment reduces average waiting time by approximately 19%,while the four-node simulation further reduces it by up to 65%.Overall,this study demonstrates the advantages of cloud-distributed GenAI in maintaining character consistency and reducing generation latency,highlighting its potential value inmulti-user collaborative story visualization applications. 展开更多
关键词 Stable diffusion story visualization generativeAI distributed computing cloud-based system character consistency
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BIM-Based Visualization System for Settlement Warning in Multi-Purpose Utility Tunnels(MUTs) 认领 引用
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作者 Ping Wu Jie Zou +1 位作者 Wangxin Li Yidong Xu 《Structural Durability & Health Monitoring》 EI 2026年第1期283-301,共19页
The existing 2D settlement monitoring systems for utility tunnels are heavily reliant on manual interpretation of deformation data and empirical predictionmodels.Consequently,early anomalies(e.g.,minor cracks)are ofte... The existing 2D settlement monitoring systems for utility tunnels are heavily reliant on manual interpretation of deformation data and empirical predictionmodels.Consequently,early anomalies(e.g.,minor cracks)are often misjudged,and warnings lag by about 24 h without automated spatial localization.This study establishes a technical framework for requirements analysis,architectural design,and data-integration protocols.Revit parametric modelling is used to build a 3D tunnel model with structural elements,pipelines and 18 monitoring points(for displacement and joint width).Custom Revit API code integrated real-time sensor data into the BIM platform via an automated pipeline.The system achieved a spatial accuracy of±1 mm in locating deformation hotspots.Notifications are triggered within 10 s of anomaly detection,and the system renders 3D risk propagation paths in real-time.Realtime 3D visualization of risk propagation paths is also facilitated.The efficacy of the solution was validated in a Ningbo utility tunnel project,where it was demonstrated that it eliminates human-dependent judgment errors and reduces warning latency by 99.9%compared to conventional methods.The BIM-IoT integrated approach,which enables millimetre-level precision in risk identification and near-instantaneous response,establishes a new paradigm for intelligent infrastructure safety management. 展开更多
关键词 Multi-purpose utility tunnels settlement monitoring BIM-based visualization warning
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Graph visualization efficiency of popular web‑based libraries 认领 引用
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作者 Xin Zhao Xuan Wang +6 位作者 Xianzhe Zou Huiming Liang Genghuai Bai Ning Zhang Xin Huang Fangfang Zhou Ying Zhao 《Visual Computing for Industry,Biomedicine,and Art》 EI 2025年第1期194-210,共17页
Web-based libraries,such as D3.js,ECharts.js,and G6.js,are widely used to generate node-link graph visualizations.These libraries allow users to call application programming interfaces(APIs)without identifying the det... Web-based libraries,such as D3.js,ECharts.js,and G6.js,are widely used to generate node-link graph visualizations.These libraries allow users to call application programming interfaces(APIs)without identifying the details of the encapsulated techniques such as graph layout algorithms and graph rendering methods.Efficiency requirements,such as visualizing a graph with 3k nodes and 4k edges within 1 min at a frame rate of 30 fps,are crucial for selecting a proper library because libraries generally present different characteristics owing to the diversity of encapsulated techniques.However,existing studies have mainly focused on verifying the advantages of a new layout algorithm or rendering method from a theoretical viewpoint independent of specific web-based libraries.Their conclusions are difficult for end users to understand and utilize.Therefore,a trial-and-error selection process is required.This study addresses this gap by conducting an empirical experiment to evaluate the performance of web-based libraries.The experiment involves popular libraries and hundreds of graph datasets covering node scales from 100 to 200k and edge-to-node ratios from 1 to 10(including complete graphs).The experimental results are the time costs and frame rates recorded using the libraries to visualize the datasets.The authors analyze the performance characteristics of each library in depth based on the results and organize the results and findings into application-oriented guidelines.Additionally,they present three usage cases to illustrate how the guidelines can be applied in practice.These guidelines offer user-friendly and reliable recommendations,aiding users in quickly selecting the desired web-based libraries based on their specific efficiency requirements for node-link graph visualizations. 展开更多
关键词 Graph visualization Node-link diagram Web-based visualization Visualization library
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Teaching Innovation and Practice of Computer Network Course from the Perspective of Knowledge Visualization 认领 引用
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作者 Gongjin Chen Yantao He Pengteng Huang 《Journal of Contemporary Educational Research》 2026年第4期254-264,共11页
As the core basic course of computer science,the computer network course has long been faced with teaching dilemmas such as many and fragmented knowledge points,abstract and difficult to understand protocol levels,and... As the core basic course of computer science,the computer network course has long been faced with teaching dilemmas such as many and fragmented knowledge points,abstract and difficult to understand protocol levels,and a disconnection between theory and practice.Aiming at these problems,this study constructs a knowledge framework ontology covering all levels of TCP/IP protocol stack,designs a hierarchical and multidimensional visual teaching system,and carries out quasi-experimental research in university classrooms to verify its teaching effect.The research adopts the methodology combining the design research method and quasi-experiment method,and develops an interactive visualization platform based on knowledge graphs,which supports the dynamic demonstration of protocol flow,layer-by-layer analysis of packet structure,interactive exploration of network topology,and other functions.The experimental results show that the visual teaching group is significantly better than the traditional teaching group in the dimensions of agreement process understanding and cross-layer concept association,especially for learners with weak spatial ability.This study provides a reusable theoretical framework and practical paradigm for the knowledge visualization teaching of computer courses. 展开更多
关键词 Computer network Knowledge visualization Knowledge graph Teaching application Cognitive load Quasi-experimental study
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Application of GIS Technology in Marine Surveying and Mapping Data Management and Visualization 认领 引用
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作者 SU Daoxin ZHANG Yadong 《外文科技期刊数据库（文摘版）自然科学》 2026年第1期051-055,共5页
With the further advancement of China’s strategy of building a maritime power, marine surveying and mapping, as the core fundamental work for marine development and protection, has witnessed an exponential growth in ... With the further advancement of China’s strategy of building a maritime power, marine surveying and mapping, as the core fundamental work for marine development and protection, has witnessed an exponential growth in data volume. The traditional file-based management architecture and static visualization mode can hardly meet the strategic demands of modern marine informatization construction. With its outstanding capabilities in spatial data processing, analysis and representation, GIS technology provides systematic technical support for the refined management and efficient visualization of marine surveying and mapping data. Combined with the inherent characteristics and management pain points of marine surveying and mapping data, this paper systematically discusses the application mechanisms of GIS technology in core technical links, including multi-source heterogeneous data integration and standardization, spatiotemporal database construction and efficient retrieval, data quality control and dynamic update, as well as 2D-3D integrated visualization, dynamic spatiotemporal process simulation, and interactive decision support. It aims to provide theoretical references and practical experience for improving the resource utilization efficiency and professional service capacity of marine surveying and mapping data. 展开更多
关键词 GIS marine surveying and mapping data management data visualization spatiotemporal database
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A ROOT-based detector geometry and event visualization system for JUNO-TAO 认领 引用 被引量：5
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作者 Ming-Hua Liao Kai-Xuan Huang +3 位作者 Yu-Mei Zhang Jia-Yang Xu Guo-Fu Cao Zheng-Yun You 《Nuclear Science and Techniques》 SCIE EI CAS CSCD 2025年第3期50-59,共10页
The Taishan Antineutrino Observatory(TAO)is a satellite experiment of the Jiangmen Underground Neutrino Observatory,located near the Taishan nuclear power plant(NPP).The TAO aims to measure the energy spectrum of reac... The Taishan Antineutrino Observatory(TAO)is a satellite experiment of the Jiangmen Underground Neutrino Observatory,located near the Taishan nuclear power plant(NPP).The TAO aims to measure the energy spectrum of reactor antineutrinos with unprecedented precision,which would benefit both reactor neutrino physics and the nuclear database.A detector geometry and event visualization system was developed for the TAO.The software was based on ROOT packages and embedded in the TAO offline software framework.This provided an intuitive tool for visualizing the detector geometry,tuning the reconstruction algorithm,understanding neutrino physics,and monitoring the operation of reactors at NPP.Further applications of the visualization system in the experimental operation of TAO and its future development are discussed. 展开更多
关键词 Visualization Geometry Offline software JUNO TAO
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PlantGaussian:Exploring 3D Gaussian splatting for cross-time,cross-scene,and realistic 3D plant visualization and beyond 认领 引用 被引量：5
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作者 Peng Shen Xueyao Jing +2 位作者 Wenzhe Deng Hanyue Jia Tingting Wu 《The Crop Journal》 SCIE CAS CSCD 2025年第2期607-618,共12页
Observing plants across time and diverse scenes is critical in uncovering plant growth patterns.Classic methods often struggle to observe or measure plants against complex backgrounds and at different growth stages.Th... Observing plants across time and diverse scenes is critical in uncovering plant growth patterns.Classic methods often struggle to observe or measure plants against complex backgrounds and at different growth stages.This highlights the need for a universal approach capable of providing realistic plant visualizations across time and scene.Here,we introduce PlantGaussian,an approach for generating realistic three-dimensional(3D)visualization for plants across time and scenes.It marks one of the first applications of 3D Gaussian splatting techniques in plant science,achieving high-quality visualization across species and growth stages.By integrating the Segment Anything Model(SAM)and tracking algorithms,PlantGaussian overcomes the limitations of classic Gaussian reconstruction techniques in complex planting environments.A new mesh partitioning technique is employed to convert Gaussian rendering results into measurable plant meshes,offering a methodology for accurate 3D plant morphology phenotyping.To support this approach,PlantGaussian dataset is developed,which includes images of four crop species captured under multiple conditions and growth stages.Using only plant image sequences as input,it computes high-fidelity plant visualization models and 3D meshes for 3D plant morphological phenotyping.Visualization results indicate that most plant models achieve a Peak Signal-to-Noise Ratio(PSNR)exceeding 25,outperforming all models including the original 3D Gaussian Splatting and enhanced NeRF.The mesh results indicate an average relative error of 4%between the calculated values and the true measurements.As a generic 3D digital plant model,PlantGaussian will support expansion of plant phenotype databases,ecological research,and remote expert consultations. 展开更多
关键词 Plant 3D reconstruction Plant phenotyping 3D Gaussians Realistic plant visualization
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Visualization test and numerical simulations of 2D blasting crack propagation 认领 引用 被引量：3
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作者 Shan Guo Manchao He Seokwon Jeon 《Journal of Rock Mechanics and Geotechnical Engineering》 SCIE CSCD 2025年第8期4871-4888,共18页
Drilling and blasting,characterized by their efficiency,ubiquity,and cost-effectiveness,have emerged as predominant techniques in rock excavation;however,they are accompanied by enormous destructive power.Accurately c... Drilling and blasting,characterized by their efficiency,ubiquity,and cost-effectiveness,have emerged as predominant techniques in rock excavation;however,they are accompanied by enormous destructive power.Accurately controlling the blasting energy and achieving the directional fracture of a rock mass have become common problems in the field.A two-dimensional blasting(2D blasting)technique was proposed that utilizes the characteristic that the tensile strength of a rock mass is significantly lower than its compressive strength.After blasting,only a 2D crack surface is generated along the predetermined direction,eliminating the damage to the reserved rock mass caused by conventional blasting.However,the interior of a natural rock mass is a"black box",and the process of crack propagation is difficult to capture,resulting in an unclear 2D blasting mechanism.To this end,a single-hole polymethyl methacrylate(PMMA)test piece was used to conduct a 2D blasting experiment with the help of a high-speed camera to capture the dynamic crack propagation process and the digital image correlation(DIC)method to analyze the evolution law of surface strain on the test piece.On this basis,a three-dimensional(3D)finite element model was established based on the progressive failure theory to simulate the stress,strain,damage,and displacement evolution process of the model under 2D blasting.The simulation results were consistent with the experimental results.The research results reveal the 2D blasting mechanism and provide theoretical support for the application of 2D blasting technology in the field of rock excavation. 展开更多
关键词 2D blasting technology Non-explosive blasting Polymethyl methacrylate(PMMA) Visualization of crack propagation 3D numerical simulation
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Formula-S:Situated Visualization for Traditional Chinese Medicine Formula Learning 认领 引用 被引量：2
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作者 Zhi-Yue Wu Su-Yuan Peng +1 位作者 Yan Zhu Liang Zhou 《Chinese Medical Sciences Journal》 CAS CSCD 2025年第1期57-67,I0007,共11页
Objective The study of medicine formulas is a core component of traditional Chinese medicine(TCM),yet traditional learning methods often lack interactivity and contextual understanding,making it challenging for beginn... Objective The study of medicine formulas is a core component of traditional Chinese medicine(TCM),yet traditional learning methods often lack interactivity and contextual understanding,making it challenging for beginners to grasp the intricate composition rules of formulas.To address this gap,we introduce Formula-S,a situated visualization method for TCM formula learning in augmented reality(AR)and evaluate its performance.This study aims to evaluate the effectiveness of Formula-S in enhancing TCM formula learning for beginners by comparing it with traditional text-based formula learning and web-based visualization.Methods Formula-S is an interactive AR tool designed for TCM formula learning,featuring three modes(3D,Web,and Table).The dataset included TCM formulas and herb properties extracted from authoritative references,including textbook and the SymMap database.In Formula-S,the hierarchical visualization of the formulas as herbal medicine compositions,is linked to the multidimensional herb attribute visualization and embedded in the real world,where real herb samples are presented.To evaluate its effectiveness,a controlled study(n=30)was conducted.Participants who had no formal TCM knowledge were tasked with herbal medicine identification,formula composition,and recognition.In the study,participants interacted with the AR tool through HoloLens 2.Data were collected on both task performance(accuracy and response time)and user experience,with a focus on task efficiency,accuracy,and user preference across the different learning modes.Results The situated visualization method of Formula-S had comparable accuracy to other methods but shorter response time for herbal formula learning tasks.Regarding user experience,our new approach demonstrated the highest system usability and lowest task load,effectively reducing cognitive load and allowing users to complete tasks with greater ease and efficiency.Participants reported that Formula-S enhanced their learning experience through its intuitive interface and immersive AR environment,suggesting this approach offers usability advantages for TCM education.Conclusions The situated visualization method in Formula-S offers more efficient and accurate searching capabilities compared to traditional and web-based methods.Additionally,it provides superior contextual understanding of TCM formulas,making it a promising new solution for TCM learning. 展开更多
关键词 health informatics situated visualization augmented reality traditional Chinese medicine formula
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A Visualization Study on the Nursing of Female Menopausal Syndrome Based on CiteSpace 认领 引用
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作者 Meng Zhao Chunhui Ren +1 位作者 Weina Yan Hong Liu 《Journal of Clinical and Nursing Research》 2026年第4期164-176,共13页
Background:With the accelerating global population aging,health issues related to menopausal syndrome in women are becoming increasingly prominent.Although related research and guidelines continue to enrich,problems s... Background:With the accelerating global population aging,health issues related to menopausal syndrome in women are becoming increasingly prominent.Although related research and guidelines continue to enrich,problems such as fragmented knowledge and dispersed research efforts constrain the improvement of nursing quality.Objective:To analyze and summarize current research trends and hot topics in women’s health concerning menopausal syndrome,and to explore the forefront development directions in this field.Methods:Based on literature retrieved from the China National Knowledge Infrastructure(CNKI)and Web of Science(WOS)databases from their inception to December 2024,this study ultimately included 639 articles(256 in Chinese,383 in English).Using CiteSpace software,a bibliometric and visual analysis was conducted to construct knowledge maps of countries,institutions,authors,and keywords.Results:The overall publication volume of both Chinese and English literature showed an upward trend.English publications reached 53 in 2024,while Chinese publications peaked at 30 in 2019.The United States led in publication output(117 articles,21.91%).Among Chinese institutions,the highest publication count was only 2 articles.Keyword analysis revealed that“menopausal syndrome”and“psychological care”were hot topics in Chinese literature(frequencies 51,40),whereas“symptoms”and“quality of life”were high-frequency keywords in English literature(frequencies 98,78).The cluster structures were significant(Q>0.53,S>0.78),and burst term analysis indicated an evolution in research focus from symptomatic care towards personalized interventions.Conclusions:Knowledge graph visualization can clearly present the development context and hotspot differences in research on nursing care for women with menopausal syndrome,providing a reference for subsequent studies. 展开更多
关键词 Menopausal syndrome Climacteric syndrome Perimenopausal syndrome Women’s health Nursing Citespace Visual analysis
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Visualization of Industrial Big Data:State-of-the-Art and Future Perspectives 认领 引用
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作者 Tongkang Zhang Jinliang Ding +1 位作者 Zheng Liu Wenjun Zhang 《Engineering》 SCIE EI CSCD 2025年第9期85-101,共17页
As industrial production progresses toward digitalization,massive amounts of data have been collected,transmitted,and stored,with characteristics of large-scale,high-dimensional,heterogeneous,and spatiotemporal dynami... As industrial production progresses toward digitalization,massive amounts of data have been collected,transmitted,and stored,with characteristics of large-scale,high-dimensional,heterogeneous,and spatiotemporal dynamics.The high complexity of industrial big data poses challenges for the practical decision-making of domain experts,leading to ever-increasing needs for integrating computational intelligence with human perception into traditional data analysis.Industrial big data visualization integrates theoretical methods and practical technologies from multiple disciplines,including data mining,information visualization,computer graphics,and human-computer interaction,providing a highly effective manner for understanding and exploring the complex industrial processes.This review summarizes the state-of-the-art approaches,characterizes them with six visualization methods,and categorizes them based on analytical tasks and applications.Furthermore,key research challenges and potential future directions are identified. 展开更多
关键词 Industrial big data Data analysis Visual analytics Information visualization Human-computer interaction
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Skin-Friendly Large Matrix Iontronic Sensing Meta-Fabric for Spasticity Visualization and Rehabilitation Training via Piezo-Ionic Dynamics 认领 引用
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作者 Ruidong Xu Tong Xu +8 位作者 Minghua She Xinran Ji Ganghua Li Shijin Zhang Xinwei Zhang Hong Liu Bin Sun Guozhen Shen Mingwei Tian 《Nano-Micro Letters》 SCIE EI CAS CSCD 2025年第4期291-307,共17页
Rehabilitation training is believed to be an effectual strategy that canreduce the risk of dysfunction caused by spasticity.However,achieving visualizationrehabilitation training for patients remains clinically challe... Rehabilitation training is believed to be an effectual strategy that canreduce the risk of dysfunction caused by spasticity.However,achieving visualizationrehabilitation training for patients remains clinically challenging.Herein,wepropose visual rehabilitation training system including iontronic meta-fabrics withskin-friendly and large matrix features,as well as high-resolution image modules fordistribution of human muscle tension.Attributed to the dynamic connection and dissociationof the meta-fabric,the fabric exhibits outstanding tactile sensing properties,such as wide tactile sensing range(0~300 kPa)and high-resolution tactile perception(50 Pa or 0.058%).Meanwhile,thanks to the differential capillary effect,the meta-fabric exhibits a“hitting three birds with one stone”property(dryness wearing experience,long working time and cooling sensing).Based on this,the fabrics can be integrated with garmentsand advanced data analysis systems to manufacture a series of large matrix structure(40×40,1600 sensing units)training devices.Significantly,the tunability of piezo-ionic dynamics of the meta-fabric and the programmability of high-resolution imaging modules allowthis visualization training strategy extendable to various common disease monitoring.Therefore,we believe that our study overcomes theconstraint of standard spasticity rehabilitation training devices in terms of visual display and paves the way for future smart healthcare. 展开更多
关键词 Skin-friendly Large matrix Iontronic meta-fabric Spasticity visualization rehabilitation training
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Real-time monitoring and in vivo visualization of acetylcholinesterase activity with a near-infrared fluorescent probe 认领 引用
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作者 Keyun Zeng Fang Fan +8 位作者 Yuqi Tang Xiaoyu Wang Diya Lv Jieman Lin Yuxin Zhang Yingying Zhu Yifeng Chai Xiaofei Chen Quan Li 《Journal of Pharmaceutical Analysis》 SCIE CAS CSCD 2025年第9期2075-2082,共8页
Acetylcholinesterase(AChE)plays a crucial role in the activities of the nervous system,and its abnormal function can lead to the occurrence and development of neurodegenerative diseases.Hence,an effective method for r... Acetylcholinesterase(AChE)plays a crucial role in the activities of the nervous system,and its abnormal function can lead to the occurrence and development of neurodegenerative diseases.Hence,an effective method for real-time monitoring of AChE activity is essential.Very recently,several fluorescence sensors have been developed for the detection of AChE activity,but they are usually imaging in the visible region,relatively small Stokes shifts,or long response times,limiting their application for real-time monitoring in vivo.Inspired by that,a near-infrared(NIR)off-on probe((E)-4-(2-(4-(dicyanomethylene)-4H-chromen-2-yl)vinyl)phenyl dimethylcarbamate,DCM-N)for AChE monitoring with high selectivity and sensitivity is developed.In the probe DCM-N,a bright near-infrared fluorescence emission at 700 nm can be triggered by AChE through the cleavage of amino ester bond in DCM-N,and the resulting fluorescence exhibits a good linear relationship with AChE activity in the range of 0.2–16 U/mL,with a detection limit as low as 0.06 U/mL.For real plasma sample detection,DCM-N demonstrates advantages of accurate detection and fast response compared to the traditional Ellman assay for AChE detection.Moreover,DCM-N can be used for imaging of AChE activity in live cells and tracking of AChE activity in zebrafish models,which is of great significance for medical and physiological research related to AChE.DCM-N possesses several notable features such as light-up NIR emission,fast response,large spectral shifts and strong photostability under physiological conditions.These features enable it to monitor AChE activity both in vivo and in vitro,providing a suitable tool for real-time monitoring and in vivo visualization of AChE activity. 展开更多
关键词 Acetylcholinesterase(AChE) Near-infrared(NIR)fluorescent probe Real-time monitoring In vivo visualization
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Hybrid CO2 thermal system for post-steam heavy oil recovery:Insights from microscopic visualization experiments and molecular dynamics simulations 认领 引用
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作者 Ning Lu Xiaohu Dong +4 位作者 Haitao Wang Huiqing Liu Zhangxin Chen Yu Li Deshang Zeng 《Energy Geoscience》 EI CAS CSCD 2025年第2期233-248,共16页
The hybrid CO2 thermal technique has achieved considerable success globally in extracting residual heavy oil from reserves following a long-term steam stimulation process.Using microscopic visualization experiments... The hybrid CO2 thermal technique has achieved considerable success globally in extracting residual heavy oil from reserves following a long-term steam stimulation process.Using microscopic visualization experiments and molecular dynamics(MD)simulations,this study investigates the microscopic enhanced oil recovery(EOR)mechanisms underlying residual oil removal using hybrid CO2 thermal systems.Based on the experimental models for the occurrence of heavy oil,this study evaluates the performance of hybrid CO2 thermal systems under various conditions using MD simulations.The results demonstrate that introducing CO2 molecules into heavy oil can effectively penetrate and decompose dense aggregates that are originally formed on hydrophobic surfaces.A stable miscible hybrid CO2 thermal system,with a high effective distribution ratio of CO2,proficiently reduces the interaction energies between heavy oil and rock surfaces,as well as within heavy oil.A visualization analysis of the interactions reveals that strong van der Waals(vdW)attractions occur between CO2 and heavy oil molecules,effectively promoting the decomposition and swelling of heavy oil.This unlocks the residual oil on the hydrophobic surfaces.Considering the impacts of temperature and CO2 concentration,an optimal gas-to-steam injection ratio(here,the CO2:steam ratio)ranging between 1:6 and 1:9 is recommended.This study examines the microscopic mechanisms underlying the hybrid CO2 thermal technique at a molecular scale,providing a significant theoretical guide for its expanded application in EOR. 展开更多
关键词 Heavy oil Hybrid CO2thermal system Microscopic visualization experiment Molecular dynamics simulation Microscopic mechanism
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