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STUDY ON THE FRAMEWORK SYSTEM OF DIGITAL AGRICULTURE 认领 引用 被引量：10
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作者 LIANGYong LUXiu-shan +2 位作者 ZHANGDe-gui LIANGFu RENZhi-bo 《Chinese Geographical Science》 SCIE EI 2003年第1期15-19,共5页
China is a great agricultural country with large population, limited soilresources and traditional farming mode, so the central government has been attaching greatimportance to the development of agriculture and put f... China is a great agricultural country with large population, limited soilresources and traditional farming mode, so the central government has been attaching greatimportance to the development of agriculture and put forward a new agricultural technologyrevolution ― the transformation from traditional agriculture to modern agriculture and fromextensive farming to intensive farming. Digital agriculture is the core of agriculturalinformatization. The enforcement of digital agriculture will greatly promote agricultural technologyrevolution, two agricultural transformations and its rapid development, and enhance China'scompetitive power after the entrance of WTO. To carry out digital agriculture, the frame system ofdigital agriculture is required to be studied in the first place. In accordance with the theory andtechnology of digital earth and in combination with the agricultural reality of China, this articleoutlines the frame system of digital agriculture and its main content arid technology support. 展开更多
关键词 digital agriculture framework system 3S technology spatial data
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A Hierarchical Attention Framework for Business Information Systems:Theoretical Foundation and Proof-of-Concept Implementation 认领 引用
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作者 Sabina-Cristiana Necula Napoleon-Alexandru Sireteanu 《Computers, Materials & Continua》 SCIE EI 2026年第2期2055-2088,共34页
Modern business information systems face significant challenges in managing heterogeneous data sources,integrating disparate systems,and providing real-time decision support in complex enterprise environments.Contempo... Modern business information systems face significant challenges in managing heterogeneous data sources,integrating disparate systems,and providing real-time decision support in complex enterprise environments.Contemporary enterprises typically operate 200+interconnected systems,with research indicating that 52% of organizations manage three or more enterprise content management systems,creating information silos that reduce operational efficiency by up to 35%.While attention mechanisms have demonstrated remarkable success in natural language processing and computer vision,their systematic application to business information systems remains largely unexplored.This paper presents the theoretical foundation for a Hierarchical Attention-Based Business Information System(HABIS)framework that applies multi-level attention mechanisms to enterprise environments.We provide a comprehensive mathematical formulation of the framework,analyze its computational complexity,and present a proof-of-concept implementation with simulation-based validation that demonstrates a 42% reduction in crosssystem query latency compared to legacy ERP modules and 70% improvement in prediction accuracy over baseline methods.The theoretical framework introduces four hierarchical attention levels:system-level attention for dynamic weighting of business systems,process-level attention for business process prioritization,data-level attention for critical information selection,and temporal attention for time-sensitive pattern recognition.Our complexity analysis demonstrates that the framework achieves O(n log n)computational complexity for attention computation,making it scalable to large enterprise environments including retail supply chains with 200+system-scale deployments.The proof-of-concept implementation validates the theoretical framework’s feasibility withMSE loss of 0.439 and response times of 0.000120 s per query,demonstrating its potential for addressing key challenges in business information systems.This work establishes a foundation for future empirical research and practical implementation of attention-driven enterprise systems. 展开更多
关键词 Attention mechanisms business information systems theoretical framework enterprise architecture complex systems hierarchical attention
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Large Language Models for Cybersecurity Intelligence: A Systematic Review of Emerging Threats, Defensive Capabilities, and Security Evaluation Frameworks 认领 引用
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作者 Hamed Alqahtani Gulshan Kumar 《Computers, Materials & Continua》 SCIE EI 2026年第6期297-367,共71页
Large Language Models(LLMs)are becoming integral components of modern cybersecurity ecosystems,simultaneously strengthening defensive capabilities while giving rise to a new class of Artificial Intelligence-Generated ... Large Language Models(LLMs)are becoming integral components of modern cybersecurity ecosystems,simultaneously strengthening defensive capabilities while giving rise to a new class of Artificial Intelligence-Generated Content(AIGC)-driven threats.This PRISMA-guided systematic review synthesises 167 peer-reviewed studies published between 2022 and 2025 and proposes a unified threat-defence-evaluation taxonomy as a central analytical framework to consolidate a previously fragmented body of research.Guided by this taxonomy,the review first examines AIGC-enabled threats,including automated and highly personalised phishing,polymorphic malware and exploit generation,jailbreak and adversarial prompting,prompt-injection attack vectors,multimodal deception,persona-steering attacks,and large-scale disinformation campaigns.The surveyed evidence indicates a qualitative escalation in adversarial capabilities,with LLMs significantly enhancing scalability,adaptability,and realism while markedly reducing the technical barriers to conducting sophisticated attacks.Second,the review analyses LLM-enabled defensive applications spanning intrusion and anomaly detection,malware analysis and log-semantic modelling,multilingual threat intelligence extraction,vulnerability discovery and code repair,and Security Operations Center(SOC)automation through Retrieval-Augmented Generation(RAG)and multi-agent systems.Although these approaches demonstrate strong potential as semantic reasoning and decision-support components within hybrid security architectures,their real-world effectiveness remains constrained by hallucination risks,adversarial susceptibility,distributional shifts,and operational overhead.Third,the review synthesises current security evaluation and red-teaming practices,revealing a fragmented assessment landscape characterised by narrow benchmarks,inconsistent evaluation metrics,and limited longitudinal robustness analysis.Overall,the taxonomy-driven synthesis highlights a structurally imbalanced ecosystem in which offensive innovation outpaces defensive maturity and governance,and it informs a structured,research-question-aligned roadmap for developing trustworthy,resilient,and policy-aligned LLM-powered cybersecurity systems. 展开更多
关键词 Artificial intelligence-generated content threats cybersecurity intelligence large language model-based defensive systems large language models red-teaming and evaluation frameworks
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An interpretable physics-consistent neural framework for wave-based system identification of buildings 认领 引用
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作者 Chen Youming Ji Duofa +1 位作者 Zhai Changhai Wen Weiping 《Earthquake Engineering and Engineering Vibration》 SCIE EI CSCD 2026年第3期869-883,共15页
Structural health monitoring(SHM)is important for rapid post-earthquake condition assessment and resilienceoriented management of civil structures.Among system identification methods,wave-based approaches are attracti... Structural health monitoring(SHM)is important for rapid post-earthquake condition assessment and resilienceoriented management of civil structures.Among system identification methods,wave-based approaches are attractive because they are sensitive to localized stiffness changes and may reduce some limitations of global modal indicators,including potential influences associated with soil-structure interaction.However,many artificial-intelligence(AI)-based identification methods remain difficult to interpret physically,which limits their reliability in engineering applications.This study proposes an interpretable physics-consistent neural framework(PCNF)for wave-based system identification of buildings.The PCNF is derived directly from the layered Timoshenko beam formulation,in which the state transition of each structural layer is mapped onto a neural computational graph with physically meaningful trainable parameters.Structural parameter identification is therefore reformulated as a physics-guided gradient-based learning problem.The PCNF is applied to a 54-story office building in Los Angeles using records from nine earthquakes.The identified layer-wise shear-wave velocities exhibit coefficients of variation not exceeding 5%across the nine earthquakes and are generally more stable than those reported by established wave-based techniques.These results suggest that the proposed PCNF provides a stable,physically interpretable,and AI-integrated framework for wave-based structural system identification and monitoring of instrumented high-rise buildings. 展开更多
关键词 system identification physics-consistent neural framework structural health monitoring Timoshenko beam earthquake resilience
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Analysis of the Brazilian railway system:concession renewals and the quest for a more diversified and competitive framework 认领 引用
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作者 Raphael Lúcio Reis dos Santos Conrado de Souza Rodrigues +1 位作者 Guilherme de Castro Leiva Armando Belato Pereira 《Railway Sciences》 2026年第1期29-48,共20页
Purpose-This paper provides a comprehensive analysis of the Brazilian freight railway system,examining the efficacy of the current concession renewal model in light of persistent structural problems such as market con... Purpose-This paper provides a comprehensive analysis of the Brazilian freight railway system,examining the efficacy of the current concession renewal model in light of persistent structural problems such as market concentration,cargo dependence on export commodities and underutilization of the network.Situating Brazil within the broader international debate on railway reforms,the paper evaluates whether the ongoing early renewal of concessions can deliver a more diversified and competitive freight system.Design/methodology/approach-The study adopts a sequential mixed-methods research design that integrates longitudinal quantitative analysis with qualitative institutional and policy evaluation.The quantitative component examines time-series indicators published by ANTT,DNIT and INFRA S.A.from 1999 to 2023 to identify structural patterns in traffic growth,investment,safety and market concentration.The qualitative component employs a process-tracing logic to reconstruct the evolution of concession renewals and the implementation of Railway Law 14.273/2021,drawing on concepts from regulatory economics,institutional theory and industrial organization.These empirical streams are synthesized through an analytical framework that connects three dimensions-regulatory design,market structure and system performance-allowing for a systematic assessment of how Brazil’s institutional configuration shapes incentives,competitive dynamics and network utilization.Findings-The analysis confirms that the early renewal of concessions has successfully secured substantial private investment for capacity expansion on existing trunk lines.However,it has perpetuated the vertically integrated model,reinforcing the market power of incumbent operators and failing to significantly promote intramodal competition or cargo diversification.The system remains dominated by iron ore and agricultural commodities,with general cargo representing a minuscule share.The new authorization regime and short-line railway policies present a viable pathway for market opening but face significant operational and institutional barriers to implementation.Originality/value-This research offers a timely and critical assessment of a pivotal moment in Brazilian railway policy.It moves beyond a simplistic evaluation of volume growth to a structural analysis of market failures and the interplay between concession renewal and regulatory innovation.The findings provide actionable insights for policymakers in Brazil and other emerging economies seeking to balance private investment with public interest goals in railway infrastructure,highlighting the necessity of complementary,pro-competitive measures alongside financial investment. 展开更多
关键词 Authorization regime Brazil Cargo diversification Economic resilience Infrastructure policy Market concentration Railway concessions Regulatory framework Short-line railways Transport planning Transport policy Transportation privatization
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The Urban Operating System of Green Transformation: A Comparative Framework for China and Japan 认领 引用
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作者 Liu Haiqiang Ikaruga Shinji +1 位作者 Miura Katsuhiro Liu Qiang 《全球城市研究（中英文）》 2026年第2期90-110,151,152,共21页
This study asks why China and Japan, despite convergent carbon-neutrality targets and an overlapping technological menu for urban decarbonization, produce structurally non-equivalent urban green transformation(GX) out... This study asks why China and Japan, despite convergent carbon-neutrality targets and an overlapping technological menu for urban decarbonization, produce structurally non-equivalent urban green transformation(GX) outcomes. Dominant comparative idioms— “smart vs. Compact” and “growth vs. Shrinkage” —capture surface contrasts but fail to explain the underlying divergence. We propose the GX Urban Operating System as a new comparative analytical object: a five-layer sociotechnicalspatial configuration comprising governance architecture(L1), data ecology(L2), spatial logic(L3), demographic-temporal regime(L4), and human-subject construction(L5). Each layer is operationalized through a falsifiable 0—3 ordinal scoring rubric. We apply the framework to nine East Asian cases(Shenzhen, Shanghai, Hangzhou, Xiong'an, Chengdu, Fukuoka, Toyama, Kashiwa-no-ha, Kitakyushu) using policy-document coding, platform inventory, GIS morphometric analysis on 5 km×5 km buffers, census-based demographic measurement, and 18 semi-structured expert interviews. The five layers are vertically coherent within each national regime(Cronbach's α=0.89 China, 0.84 Japan);inter-regime separation on the aggregate 0—15 score is large with no overlap. Two ideal-typical regimes are derived from the framework: State-Computational GX Urbanism and Civic-Adaptive GX Urbanism. Hybrid drift concentrates on data ecology(L2, the most mobile layer) and, conditionally, on humansubject construction(L5);it is most constrained on governance architecture(L1) and spatial logic(L3), with the demographic-temporal regime(L4) intermediate—yielding a falsifiable proposition on layer-mobility asymmetry. Green urban transformation is the emergent property of a city's operating system rather than a policy output;the framework offers a portable diagnostic for hybrid GX pathways. The paper shifts the unit of comparative urban GX analysis from policy mix to regime morphology and repositions East Asia as a theory-generating site. 展开更多
关键词 comparative framework comparative idioms operating system urban decarbonization urban operating system comparative analytical object green transformation China
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Recent advances in zeolitic imidazolate frameworks as drug delivery systems for cancer therapy 认领 引用 被引量：3
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作者 Yuhan Wang Yixin Tang +4 位作者 Lei Guo Xi Yang Shanli Wu Ying Yue Caina Xu 《Asian Journal of Pharmaceutical Sciences》 SCIE CAS CSCD 2025年第1期94-118,共25页
Biological nanotechnologies based on functional nanoplatforms have synergistically catalyzed the emergence of cancer therapies.As a subtype of metal-organic frameworks(MOFs),zeolitic imidazolate frameworks(ZIFs)have e... Biological nanotechnologies based on functional nanoplatforms have synergistically catalyzed the emergence of cancer therapies.As a subtype of metal-organic frameworks(MOFs),zeolitic imidazolate frameworks(ZIFs)have exploded in popularity in the field of biomaterials as excellent protective materials with the advantages of conformational flexibility,thermal and chemical stability,and functional controllability.With these superior properties,the applications of ZIF-based materials in combination with various therapies for cancer treatment have grown rapidly in recent years,showing remarkable achievements and great potential.This review elucidates the recent advancements in the use of ZIFs as drug delivery agents for cancer therapy.The structures,synthesis methods,properties,and various modifiers of ZIFs used in oncotherapy are presented.Recent advances in the application of ZIF-based nanoparticles as single or combination tumor treatments are reviewed.Furthermore,the future prospects,potential limitations,and challenges of the application of ZIF-based nanomaterials in cancer treatment are discussed.We except to fully explore the potential of ZIF-based materials to present a clear outline for their application as an effective cancer treatment to help them achieve early clinical application. 展开更多
关键词 Metal-organic frameworks(MOFs) Zeolitic imidazolate frameworks(ZIF-8) ZIF-based nanoparticles Drug delivery Cancer treatment
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Leveraging the DeepSeek large model:A framework for AI-assisted disaster prevention,mitigation,and emergency response systems 认领 引用 被引量：5
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作者 Chenchen Xie Huiran Gao +3 位作者 Yuandong Huang Zhiwen Xue Chong Xu Kebin Dai 《Earthquake Research Advances》 CSCD 2025年第4期75-83,共9页
We proposes an AI-assisted framework for integrated natural disaster prevention and emergency response,leveraging the DeepSeek large language model(LLM)to advance intelligent decision-making in geohazard management.We... We proposes an AI-assisted framework for integrated natural disaster prevention and emergency response,leveraging the DeepSeek large language model(LLM)to advance intelligent decision-making in geohazard management.We systematically analyze the technical pathways for deploying LLMs in disaster scenarios,emphasizing three breakthrough directions:(1)knowledge graph-driven dynamic risk modeling,(2)reinforcement learning-optimized emergency decision systems,and(3)secure local deployment architectures.The DeepSeek model demonstrates unique advantages through its hybrid reasoning mechanism combining semantic analysis with geospatial pattern recognition,enabling cost-effective processing of multi-source data spanning historical disaster records,real-time IoT sensor feeds,and socio-environmental parameters.A modular system architecture is designed to achieve three critical objectives:(a)automated construction of domain-specific knowledge graphs through unsupervised learning of disaster physics relationships,(b)scenario-adaptive resource allocation using risk simulations,and(c)preserving emergency coordination via federated learning across distributed response nodes.The proposed local deployment paradigm addresses critical data security concerns in cross-border disaster management while complying with the FAIR principles(Findable,Accessible,Interoperable,Reusable)for geoscientific data governance.This work establishes a methodological foundation for next-generation AI-earth science convergence in disaster mitigation. 展开更多
关键词 AI large language models DeepSeek System framework research Natural disaster prevention and control Emergency assistance
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Research on multi-view collaborative detection system for UAV swarms based on Pix2Pix framework and BAM attention mechanism 认领 引用 被引量：1
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作者 Yan Ding Qingxin Cao +2 位作者 Bozhi Zhang Peilin Li Zhongjiao Shi 《Defence Technology（防务技术）》 SCIE EI CAS CSCD 2025年第4期213-226,共14页
Drone swarm systems,equipped with photoelectric imaging and intelligent target perception,are essential for reconnaissance and strike missions in complex and high-risk environments.They excel in information sharing,an... Drone swarm systems,equipped with photoelectric imaging and intelligent target perception,are essential for reconnaissance and strike missions in complex and high-risk environments.They excel in information sharing,anti-jamming capabilities,and combat performance,making them critical for future warfare.However,varied perspectives in collaborative combat scenarios pose challenges to object detection,hindering traditional detection algorithms and reducing accuracy.Limited angle-prior data and sparse samples further complicate detection.This paper presents the Multi-View Collaborative Detection System,which tackles the challenges of multi-view object detection in collaborative combat scenarios.The system is designed to enhance multi-view image generation and detection algorithms,thereby improving the accuracy and efficiency of object detection across varying perspectives.First,an observation model for three-dimensional targets through line-of-sight angle transformation is constructed,and a multi-view image generation algorithm based on the Pix2Pix network is designed.For object detection,YOLOX is utilized,and a deep feature extraction network,BA-RepCSPDarknet,is developed to address challenges related to small target scale and feature extraction challenges.Additionally,a feature fusion network NS-PAFPN is developed to mitigate the issue of deep feature map information loss in UAV images.A visual attention module(BAM)is employed to manage appearance differences under varying angles,while a feature mapping module(DFM)prevents fine-grained feature loss.These advancements lead to the development of BA-YOLOX,a multi-view object detection network model suitable for drone platforms,enhancing accuracy and effectively targeting small objects. 展开更多
关键词 Drone swarm systems Reconnaissance and strike Image generation Multi-view detection Pix2Pix framework Attention mechanism
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Prelithiation of silicon encapsulated in MOF-derived carbon/ZnO framework for high-performance lithium-ion battery 认领 引用 被引量：2
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作者 Congcong Liu Yang Yang +6 位作者 Yu Yao Tao Dai Shitan Xu Shoumeng Yang Ghulam Ali Xianhong Rui Yan Yu 《Nano Materials Science》 EI CAS CSCD 2026年第2期298-306,共9页
Silicon possesses a high theoretical capacity,making it a potential contender for lithium-ion battery(LIB)anodes.Nonetheless,its practical usage is challenged by low electrical conductivity and significant volume expa... Silicon possesses a high theoretical capacity,making it a potential contender for lithium-ion battery(LIB)anodes.Nonetheless,its practical usage is challenged by low electrical conductivity and significant volume expansion during cycling.Here,we synthesized a novel silicon/carbon(Si/C)anode doped with ZnO via a template-derived method and high-temperature carbonization.The carbon structure,originated from metal-organic frameworks(MOFs)and ZnO doping,substantially enhanced the electrochemical properties of the composite material.It exhibited an initial capacity of 2100.3 mA h g-1at a current density of 0.2 A g-1and demonstrated excellent capacity retention over successive cycles.Moreover,the composite material displayed superior rate performance at higher current densities of 2 A g-1and 3 A g-1.To address the low initial Coulombic efficiency(ICE)of siliconbased materials,we adopted a direct contact prelithiation approach and optimized the lithiation process by controlling the prelithiation time.After 30 min of prelithiation,the ICE reached 97.9%,thereby reducing the initial irreversible capacity loss(ICL)and realizing stable discharge-charge in subsequent cycles.This rational design provides valuable insights for achieving high-performance silicon anode. 展开更多
关键词 Metal-organic frameworks Silicon ZnO Prelithiation Lithium-ion batteries
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Metal-organic frameworks for sustainable recovery of precious metals:Advances in synthesis,applications,and multiscale mechanisms 认领 引用 被引量：2
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作者 Baocheng Zhou Guo Lin +3 位作者 Shixing Wang Tu Hu Yunfei An Libo Zhang 《International Journal of Minerals,Metallurgy and Materials》 SCIE EI CAS CSCD 2026年第2期417-445,共29页
The recovery of precious metals(PMs)from secondary resources is critical for addressing global supply-chain vulnerabilities and sustainable resource utilization.This review systematically examines the transformative p... The recovery of precious metals(PMs)from secondary resources is critical for addressing global supply-chain vulnerabilities and sustainable resource utilization.This review systematically examines the transformative potential of metal-organic frameworks(MOFs)as next-generation adsorbents for PM recovery,focusing on their synthesis,functionalization,and multiscale adsorption mechanisms.We critically analyze conventional pyrometallurgical and hydrometallurgical methods and highlight their limitations in terms of selectivity,energy consumption,and secondary pollution.In contrast,MOFs offer tunable porosity,abundant active sites,and tunable surface chemistry,enabling efficient PM capture via synergistic physical and chemical adsorption.Advanced modification techniques,including direct synthesis and post-synthetic modification,are reviewed to propose strategies for enhancing the adsorption kinetics and selectivity for Au,Ag,Pt,and Pd.Key structure-property relationships are established through multiscale characterization and thermodynamic models,revealing the critical roles of hierarchical porosity,soft donor atoms,and framework stability.Industrial challenges,such as aqueous stability and scalability,are addressed via Zr-O bond strengthening,hydrophobic functionalization,and support immobilization.This study consolidates the experimental and theoretical advances in MOF-based PM recovery and provides a roadmap for translating laboratory innovations into practical applications within the circular-economy framework. 展开更多
关键词 metal-organic frameworks precious metal recovery functionalization adsorption mechanisms circular economy
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Ultra heat-resistant hydrogen-bonded organic framework:Breaking the thermal stability limit of high-energy materials 认领 引用 被引量：3
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作者 Bojun Tan Jinkang Dou +13 位作者 Jing Zhang Xiong Yang Jiatong Ren Changwei Tang Jian Su Gen Zhang Siwei Song Qinghua Zhang Binghui Duan Hongchang Mo Minghui Xu Xianming Lu Bozhou Wang Ning Liu 《Defence Technology（防务技术）》 SCIE EI CAS CSCD 2026年第3期300-306,共7页
The pursuit of heat-resistant energetic materials(HREMs)with thermal stability beyond 450℃ presents a significant challenge that has yet to be achieved.In this work,we develop an innovative electronic delocalization ... The pursuit of heat-resistant energetic materials(HREMs)with thermal stability beyond 450℃ presents a significant challenge that has yet to be achieved.In this work,we develop an innovative electronic delocalization strategy to design and synthesize a planar dizwitterionic diamino-bistriazolotetrazine,designated as TYX-1.The unique structural feature of TYX-1,including a nitrogen-rich fused ring system,planar conformation,and dizwitterionic configuration,combined with its hydrogen-bonded organic framework(HOF)structure,confer exceptional thermal stability(The onset temperature is 428℃,and the peak temperature is 473℃),high density(1.84 g/cm3),and remarkable detonation performance(detonation velocity:8616 m/s).Furthermore,TYX-1 exhibits an impressive insensitivity(impact sensitivity>40 J;friction sensitivity>360 N),surpassing all previously reported HREMs.Theoretical calculations and single-crystal clearly indicate that the delocalizedπelectrons within the dizwitterionic bistriazolotetrazine rings and the HOF structure of TYX-1 are pivotal in ensuring its high thermal stability and high energy density.The discovery of TYX-1 marks a significant advancement in the field of HREMs and is anticipated to catalyze substantial progress in various high-temperature applications reliant on energetic materials. 展开更多
关键词 Ultra heat-resistant energetic materials Hydrogen-bonded organic framework A planar dizwitterionic structure Nitrogen-rich fused-ring skeleton
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Three-dimensional supramolecular polymer frameworks with precisely tunable and large apertures for enzyme encapsulation 认领 引用 被引量：2
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作者 Runtan Gao Yang Zong +2 位作者 Tingting Li Na Liu Zongquan Wu 《Chinese Chemical Letters》 SCIE CAS CSCD 2026年第1期361-367,共7页
Three-dimensional supramolecular organic frameworks with precisely tunable pore sizes are highly demanded for a wide range of applications,e.g.,encapsulating enzymes to enhance their stability,activity,and reusability... Three-dimensional supramolecular organic frameworks with precisely tunable pore sizes are highly demanded for a wide range of applications,e.g.,encapsulating enzymes to enhance their stability,activity,and reusability.However,precise control and tune the pore size of such frameworks still remains a significant challenge to date.In this study,we constructed supramolecular polymer frameworks using rigid tetrahedral star polyisocyanides with tunable length and sufficiently narrow distribution as building block.First,a series of tetrahedral four-arm star polyisocyanides with controlled chain lengths and narrow molecular weight distributions was prepared via the Pd(Ⅱ)-catalyzed living isocyanide polymerization.Then 2-ureido-4[1H]-pyrimidinone(Upy) unit was installed onto each chain-end of polyisocyanide arms via post-polymerization functionalization.Leveraging the supramolecular hydrogen bonding interactions between the terminal Upy units,well-ordered supramolecular polymer frameworks were readily obtained.Notably,the pore size was dependent on the chain length of the polyisocyanide arms.Precisely control the chain length of polyisocyanide arms,supramolecular polymer frameworks with pore sizes ranging from 5.06 nm to 9.72 nm were achieved.These frameworks,with tunable and large pore apertures,demonstrated exceptional capabilities in encapsulating enzymes of different sizes,such as lipase(TL),horseradish peroxidase(HRP),and glucose oxidase(GOx).The encapsulated enzymes exhibited significantly enhanced catalytic activity and durability.Moreover,the frameworks' tunable and large pore apertures facilitated the co-encapsulation of multiple enzymes,enabling efficient dual-enzyme cascade reactions. 展开更多
关键词 Supramolecular organic frameworks Living polymerization Supramolecular self-assembly Polyisocyanide Enzyme encapsulation
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An interpretable attention-guided generative adversarial network framework with dual-domain learning for multi-condition constrained sedimentary facies modeling 认领 引用 被引量：2
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作者 Lei Liu Wei Li +7 位作者 Jian Gao Da-Li Yue De-Gang Wu Wu-Rong Wang Jin Lin Zhi-Bo Li Qian Zhong Jia-Gen Hou 《Petroleum Science》 SCIE EI CAS CSCD 2026年第4期1754-1772,共19页
Sedimentary facies modeling is a critical approach for understanding geological phenomena,yet the strong heterogeneity of reservoir systems poses a serious challenge for their refined characterization.In this study,we... Sedimentary facies modeling is a critical approach for understanding geological phenomena,yet the strong heterogeneity of reservoir systems poses a serious challenge for their refined characterization.In this study,we innovatively propose an interpretable attention-guided generative adversarial network framework with dual-domain learning,which achieves precise sedimentary facies modeling under the constraints of well facies and soft probability data.Specifically,we first effectively extract and preserve prior information of sedimentary facies models from both spatial and frequency domain perspectives.Then,during simulation,to enhance the capability of the network model for finely characterizing complex heterogeneous models,cross-spatial attention mechanisms are designed to effectively capture short-range and long-range dependencies between multi-scale pattern features.Additionally,through systematic feature map visualization analysis,we elucidate the processes of conditional fitting and complex sedimentary facies model reconstruction,intuitively demonstrating the functional mechanisms of each module.Finally,systematic experiments are conducted on multiple datasets to validate the effectiveness of the proposed method.The results demonstrate that the generated sedimentary facies models exhibit high consistency with training datasets in terms of visual realism and statistical indicators.Quantitative comparisons reveal remarkable performance of the method,achieving low Wasserstein distance(0.09),Kernel Inception Distance(0.0017)and Kernel Maximum Mean Discrepancy(0.21).These findings further confirm the high realism of the generated realizations regarding pattern features.This study offers a reliable and practical method for geological reservoir modeling,thereby advancing quantitative,precise geological research with broad application prospects. 展开更多
关键词 Sedimentary facies models Attention-guided generative adversarial network Interpretable framework Sedimentary patterns Multi-condition modeling
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Self-assembled nanoflower zeolitic imidazolate framework-carbon for superior sodium storage 认领 引用 被引量：1
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作者 Xiaohua Zhang Kangjie Han +4 位作者 Xinxin Zhao Xiaoyan Yan Kang Zhang Hengxiang Li Baosheng Liu 《International Journal of Minerals,Metallurgy and Materials》 SCIE EI CAS CSCD 2026年第5期1618-1627,I0149-I0151,共10页
Conventional hard carbon anodes,despite their high sodium storage capacity,suffer from two major limitations:sluggish ion diffusion kinetics due to tortuous micropore networks and significant volume expansion arising ... Conventional hard carbon anodes,despite their high sodium storage capacity,suffer from two major limitations:sluggish ion diffusion kinetics due to tortuous micropore networks and significant volume expansion arising from disordered carbon structures.These inherent defects collectively compromise rate capability and cycling stability.Herein,we devise a graphene oxide(GO)-directed templating approach to architect zeolitic imidazolate framework(ZIF)-derived carbon into a hierarchical nanoflower superstructure with radially aligned meso/macroporous nanosheets.This superstructure integrates three synergistic features:three-dimensional interconnected channels and graphitic domains enabling fast ion/electron transport,radially aligned nanosheets maximizing electrode-electrolyte contact while accommodating volume expansion,and nitrogen-doped defect sites providing preferential redox-active centers for sodium storage.The optimized ZIF-9@GO-6 achieves a high specific capacity of 521.8 mAh·g-1at 0.05 A·g-1with an initial Coulombic efficiency of 89.2%,and retains a specific capacity of 298.2 mAh·g-1after 500 cycles.This GO-directed morphological engineering strategy effectively resolves the intrinsic trade-offs between porosity,conductivity,and structural stability in conventional hard carbon anodes,paving the way for scalable,high-performance sodium-ion batteries. 展开更多
关键词 sodium-ion batteries graphitization hard carbon zeolitic imidazolate framework graphene oxide
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Solvent-regulated mesoporous terbium-perylenetetracarboxylate metal organic framework with enhanced electrochemiluminescence for ultrasensitive cTnⅠbioanalysis 认领 引用 被引量：1
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作者 Li Song Shuchun Bu +4 位作者 Yilan Ding Pu Zhang Ya-Qin Chai Yingzi Fu Ruo Yuan 《Chinese Chemical Letters》 SCIE CAS CSCD 2026年第5期548-552,共5页
The typical organic perylenetetracarboxylate(PTC)luminophore suffers from limited bio-application due to its aggregation-caused quenching(ACQ)induced undesirable electrochemiluminescence(ECL)efficiency in aqueous solu... The typical organic perylenetetracarboxylate(PTC)luminophore suffers from limited bio-application due to its aggregation-caused quenching(ACQ)induced undesirable electrochemiluminescence(ECL)efficiency in aqueous solution.Herein,the ECL emission of PTC was highly improved through the ingenious coordination of PTC(ligand)with Tb3+(metal ion)to prepare the Tb-PTC metal-organic framework(TbPTC MOF),which prevented theπ-πstacking and the aggregation of PTC molecules in a homogeneous phase.Moreover,we found that the ECL emission of Tb-PTC MOF was further enhanced by regulating its morphology,pore size and electron transfer ability using different solvents during its synthesis procedure.Notably,under the mixture of DMF,Et OH,and H2O(v/v/v,1:1:1),a mesoporous Tb-PTC MOF exhibited an outstanding ECL intensity,which may be attributed to two reasons.Firstly,the mesopore and rough surface of Tb-PTC MOF(luminophore)provided abundant active sites and enlarged contact surfaces for S2O82–(coreactant).Secondly,Tb-PTC MOF with higher electron transfer ability could accelerate electron/hole recombination to enhance its ECL emission.Additionally,Tb-PTC MOF with excellent ECL performance was applied as a luminophore to fabricate an ultrasensitive ECL immunosensor for cardiac troponinⅠ(cTnⅠ)detection,related to acute myocardial infarction.The constructed ECL immunosensor exhibited a satisfactory linear range(1 fg/m L-20 ng/mL)and a low detection limit of 0.48 fg/m L.This study provides a new trend for the preparation of PTC-based nanomaterials with highly efficient ECL performance,broadening the scope for sensitive immunoassay in disease diagnosis. 展开更多
关键词 Electrochemiluminescence Metal organic framework Coordination-enhanced ECL Solvent regulation Cardiac troponin I
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Uncovering the urban-rural integration of China over the past 40 years:Measurement framework and spatial-temporal evolution 认领 引用 被引量：1
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作者 Chuanglin Fang Kewen Wang +6 位作者 Zehui Chen Zhitao Liu Menghang Liu Biao Sun Xia Liao Lingyu Meng Zhiying Yang 《Geography and Sustainability》 CSCD 2026年第3期51-62,共12页
Alleviating the imbalance between urban and rural areas for regional coordinated development is an imperative response to the Sustainable Development Goal 10 of the United Nations.To track China’s urban-rural integra... Alleviating the imbalance between urban and rural areas for regional coordinated development is an imperative response to the Sustainable Development Goal 10 of the United Nations.To track China’s urban-rural integration progress and address the uneven issues in specific fields,this study constructed a novel seven-dimension index system of urban-rural integration,comprising free population mobility,efficient land transfer,interactive economic growth,highly-linked transportation,equal public services,joint environmental governance and unimpeded informatization between urban and rural areas.Based on a comprehensive measurement framework and multi-source panel data,we uncovered the spatial-temporal evolution of urban-rural integration in China’s 367 prefecture-level administrative units from 1980 to 2022.The results demonstrated that China’s urban-rural integration steadily increased from 27.51 to 57.35 with an average annual growth rate of 3.40%.Whereas,the overall urban-rural integration was relatively inferior in 2022,at the level of moderate integration whose proportion of China’s land area was 88.08%.The urban-rural integration level in eastern region and urban agglomerations was higher than that in mid-west and non-urban agglomerations.From the perspective of seven dimensions,interactive economic growth,joint environmental governance and unimpeded informatization made an obvious improvement and reached higher integration,while free population mobility,efficient land transfer,highly-linked transportation and equal public services maintained the stage of moderate integration in 2022.In the future,China should make targeted efforts for urban-rural integration in terms of population,land use,transportation and public services,and accelerate urban-rural common prosperity in the mid-west and economically underdeveloped areas. 展开更多
关键词 Urban-rural integration Measurement framework Spatial-temporal evolution Heterogeneity China
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Dual-Signal Colorimetric/Fluorescent Detection of Vibrio parahaemolyticus in Seafood Using a Multifunctional Aptamer-Conjugated Magnetic Covalent Organic Framework-CuO/Au Nanozyme 认领 引用 被引量：1
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作者 SUN Di YANG Xuewen +6 位作者 WANG Hui LIN Hongyong HE Xiaoxia HUO Zhenting LIU Yu YU Zhongjie JIANG Wei 《食品科学》 EI CAS CSCD 北大核心 2026年第6期23-40,共18页
In this study,a multifunctional aptamer-conjugated magnetic covalent organic framework(COF)-CuO/Au nanozyme(MCOF-CuO/Au@apt)was developed as a“three-in-one”platform for dual-signal colorimetric and fluorescent detec... In this study,a multifunctional aptamer-conjugated magnetic covalent organic framework(COF)-CuO/Au nanozyme(MCOF-CuO/Au@apt)was developed as a“three-in-one”platform for dual-signal colorimetric and fluorescent detection of Vibrio parahaemolyticus.The nanozyme integrated magnetic separation,peroxidase-like catalytic activity,and specific target recognition through an aptamer-based strategy.Upon binding to V.parahaemolyticus,the catalytic oxidation of tetra-aminophenylethylene(TPE-4A)by the nanozyme was selectively inhibited,resulting in distinct colorimetric and fluorescent signals that significantly enhanced the detection accuracy and reliability.The proposed method exhibited high sensitivity,with limits of detection(LOD)of 21 and 7 CFU/mL for the colorimetric and fluorescent assays,respectively.The performance of this method was validated using real seafood samples,including Penaeus vannamei,Mytilus coruscus,and Crassostrea gigas,which showed high recovery rates(101.11%-107.30%)and excellent reproducibility.The system also demonstrated strong specificity and accuracy under various conditions,confirming its robustness and practical applicability.Collectively,this innovative platform presents a promising solution for the rapid,versatile,and sensitive detection of V.parahaemolyticus in seafood,with considerable potential to advance food safety diagnosis and on-site monitoring. 展开更多
关键词 Vibrio parahaemolyticus dual-signal detection aptamer-based nanozyme magnetic covalent organic framework seafood safety
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Porphyrin-based metal-organic frameworks for photocatalytic carbon dioxide reduction:Current understanding and challenges 认领 引用 被引量：1
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作者 Hao Wu Rui Liu +1 位作者 Donghui Li Yun Hau Ng 《Nano Materials Science》 EI CAS CSCD 2026年第1期183-206,共24页
Photocatalytic carbon dioxide reduction reaction(CO2RR)is a carbon-neutral strategy to address global energy use and its impact on climate.Metal oxide and metal chalcogenide catalysts are the most investigated cata... Photocatalytic carbon dioxide reduction reaction(CO2RR)is a carbon-neutral strategy to address global energy use and its impact on climate.Metal oxide and metal chalcogenide catalysts are the most investigated catalysts for photocatalytic CO2RR.Unfortunately,low CO2adsorption ability and limited active sites of metal oxide and metal chalcogenide catalysts for CO2RR make them less competitive compared to their industrial counterparts.Inspired by applications of porphyrin-based metal-organic framework(MOF)catalysts for hydrogen evolution and photodynamic therapy,the investigations of these porphyrin-based MOFs,including pristine and composite porphyrin-based MOFs in photocatalytic CO2RR,have attracted significant attention in the last five years due to their excellent CO2adsorption capacities,high porosity,high stability,exceptional optoelectronic properties,and multi-functionality.However,due to the difference in photocatalytic CO2RR,several critical issues need to be addressed to achieve the rational design of advanced porphyrin-based MOF photocatalysts to improve activity,selectivity,and stability for CO2RR.Here,we review recent developments in the field of porphyrin-based MOF CO2RR photocatalysts,along with critical issues,challenges,and perspectives concerning porphyrin-based MOF catalysts for photocatalytic CO2RR. 展开更多
关键词 Porphyrin Metal-organic framework Photocatalyst Carbon dioxide conversion Charge separation
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Bioinspired high-entropy metal-organic frameworks towards boosted CO2 photoconversion 认领 引用 被引量：1
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作者 Xiaohong Li Limin Jin +3 位作者 Haihui Yu Yuteng Zhang Haifeng Zhang Yanbiao Liu 《Chinese Chemical Letters》 SCIE CAS CSCD 2026年第4期326-332,共7页
Sustainable photochemical CO2 conversion represents a promising strategy for mitigating excess CO2 emissions and achieving“carbon neutrality”.The development of advanced catalysts with an abundance of active s... Sustainable photochemical CO2 conversion represents a promising strategy for mitigating excess CO2 emissions and achieving“carbon neutrality”.The development of advanced catalysts with an abundance of active sites and efficient separation of photo-generated charge carriers remains a significant challenge.Here,we present a high-entropy(HE)photocatalyst by integrating five metals into Prussian blue(PB)to afford Kx(MnFeCoNiCu)[Fe(CN)6](HE-PBA)which exhibits a high concentration of active centers and rapid electron transfer,enabling superior CO2-to-CO photoreduction performance.The HE-PBA composite catalyst delivered a high CO yield(up to 1220.5μmol g-1h-1),achieving near 100%product selectivity.A mechanistic analysis has revealed strong coupling and overlapping multi-atomic orbitals,which facilitates local electron redistribution and a readjustment of electron density.This effect serves to generate abundant reactive sites with CO2 interactions that facilitate C-O bond activation.Additionally,an efficient electron transfer driven by the disparity in metal electronegativity inhibits unwanted recombination of electron-hole pairs.More significantly,the photoelectrons migrate and accumulate on the HE-PBA surface,exhibiting extended long lifetimes and robust reduction ability.The findings of this study provide important insights that can contribute to the development of high-entropy materials rich in transition metals with far-ranging potential applications. 展开更多
关键词 Photocatalytic CO2reaction High-entropy catalyst Metal-organic frameworks Charge separation
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