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Recent advances in carbon dots imaging at the subcellular level:Synthesis strategies,properties,and organelle imaging 认领 引用
1
作者 Xinjuan He Zishuo Wang +4 位作者 Boyang Wang Yongqiang Zhang Xiaokai Xu Huijuan Cai Siyu Lu 《Chinese Chemical Letters》 SCIE CAS CSCD 2026年第2期218-224,共7页
Carbon dots(CDs),a class of emerging fluorescent nanomaterials,have garnered notable attention in the biomedical field owing to their outstanding photoluminescence properties,excellent biocompatibility,and ease of syn... Carbon dots(CDs),a class of emerging fluorescent nanomaterials,have garnered notable attention in the biomedical field owing to their outstanding photoluminescence properties,excellent biocompatibility,and ease of synthesis and functionalization.Recently,numerous CDs have been developed that allow precise subcellular localization through surface modifications or covalent conjugation with targeting ligands such as peptides,small molecules,Golgi-specific agents,and cell membrane-specific agents.This review begins with an overview of the synthesis strategies of CDs,highlighting their exceptional optical properties,stability,biocompatibility,and significance for subcellular imaging.The mechanisms by which CDs target specific organelles,including the nucleus,mitochondrion,lysosomes,Golgi apparatus,and cell membrane,are discussed.These mechanisms include specific targeting molecules,pH-sensitive targeting,charge-driven interactions,and hydrophobic and hydrophilic dynamics.Furthermore,we summarize their applications in subcellular imaging,such as the long-term dynamic monitoring of organelles,sensing,reactive oxygen species scavenging,and therapy.By presenting a comprehensive review of CDs in subcellular imaging,we aim to pave the way for further development of CDs in bioimaging and related biomedical applications. 展开更多
关键词 Carbon dots Organelle targeting Subcellular imaging Photoluminescence Mechanisms
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Multi-Label Classification Model Using Graph Convolutional Neural Network for Social Network Nodes 认领 引用
2
作者 Junmin Lyu Guangyu Xu +4 位作者 Feng Bao Yu Zhou Yuxin Liu Siyu Lu Wenfeng Zheng 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第2期1235-1256,共22页
Graph neural networks(GNN)have shown strong performance in node classification tasks,yet most existing models rely on uniform or shared weight aggregation,lacking flexibility in modeling the varying strength of relati... Graph neural networks(GNN)have shown strong performance in node classification tasks,yet most existing models rely on uniform or shared weight aggregation,lacking flexibility in modeling the varying strength of relationships among nodes.This paper proposes a novel graph coupling convolutional model that introduces an adaptive weighting mechanism to assign distinct importance to neighboring nodes based on their similarity to the central node.Unlike traditional methods,the proposed coupling strategy enhances the interpretability of node interactions while maintaining competitive classification performance.The model operates in the spatial domain,utilizing adjacency list structures for efficient convolution and addressing the limitations of weight sharing through a coupling-based similarity computation.Extensive experiments are conducted on five graph-structured datasets,including Cora,Citeseer,PubMed,Reddit,and BlogCatalog,as well as a custom topology dataset constructed from the Open University Learning Analytics Dataset(OULAD)educational platform.Results demonstrate that the proposed model achieves good classification accuracy,while significantly reducing training time through direct second-order neighbor fusion and data preprocessing.Moreover,analysis of neighborhood order reveals that considering third-order neighbors offers limited accuracy gains but introduces considerable computational overhead,confirming the efficiency of first-and second-order convolution in practical applications.Overall,the proposed graph coupling model offers a lightweight,interpretable,and effective framework for multi-label node classification in complex networks. 展开更多
关键词 GNN social networks nodes multi-label classification model graphic convolution neural network coupling principle
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Stable Hexagonal V2B2 Monolayer as a Promising Nonprecious Electrocatalyst for Hydrogen Evolution Reaction:Insights from First-Principles Calculations 认领 引用
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作者 Ziqi Li Xue Li +3 位作者 Sheng Wang Siyu Lu Guochun Yang Zhiyong Tang 《Energy & Environmental Materials》 SCIE EI CAS CSCD 2026年第2期297-302,共6页
The development of efficient,cost-effective,and durable electrocatalysts for the hydrogen evolution reaction(HER)is critical for advancing sustainable energy systems and enabling the widespread adoption of hydrogen-ba... The development of efficient,cost-effective,and durable electrocatalysts for the hydrogen evolution reaction(HER)is critical for advancing sustainable energy systems and enabling the widespread adoption of hydrogen-based energy technologies.In this study,we discover a stable hexagonal V2B2 monolayer that serves as a promising HER catalyst via an unbiased swarm-intelligence structural method as implemented in CALYPSO code.First-principles calculations show that the predicted V2B2 monolayer exhibits excellent metallic properties and promising catalytic activity for HER,suggesting CALYPSO’s utility for accelerating the discovery of efficient electrocatalysts.Further doping engineering,incorporating transition metals(TM0=Sc,Y,Ti,Zr,Hf),reveals that the introduction of Sc,Y,and Zr significantly enhances the catalytic performance.Bader charge analysis reveals a linear correlation between the electron gain by the hydrogen atom andΔGH*,suggesting that this relationship could serve as an effective descriptor for HER activity in TM’-doped V2B2 systems.Our findings provide valuable insights into nonprecious HER electrocatalysts and contribute to a deeper understanding of high catalytic performance in newly proposed 2D HER catalysts. 展开更多
关键词 energy materials simulation two-dimensional materials
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Understanding excitonic behavior and electroluminescence light emitting diode application of carbon dots 认领 引用 被引量：2
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作者 Yuan Liu Boyang Wang +2 位作者 Yaxin Li Weidong Li Siyu Lu 《Chinese Chemical Letters》 SCIE CAS CSCD 2025年第2期173-178,共6页
Carbon dots(CDs),due to their low cost,high stability,and high luminous efficiency,have emerged as an excellent material for the emissive layer in next-generation electroluminescent light-emitting diodes(ELEDs).Howeve... Carbon dots(CDs),due to their low cost,high stability,and high luminous efficiency,have emerged as an excellent material for the emissive layer in next-generation electroluminescent light-emitting diodes(ELEDs).However,improving the efficiency of fluorescent CDs-based ELEDs remains challenging,primarily because it is difficult to utilize triplet excitons in the electroluminescence process.Therefore,enhancing the exciton utilization efficiency of CDs during electroluminescence is crucial.Based on this,we exploited the characteristic large exciton binding energy commonly found in CDs to develop exciton-emitting CDs.These CDs facilitate the radiative recombination of excitons during electroluminescence,thereby improving the electroluminescent efficiency.By rationally selecting precursors,we developed high quantum efficiency CDs and subsequently constructed CDs-based ELEDs.The blue-light device exhibited an external quantum efficiency of over 4%.This study introduces a novel design concept for CDs,providing a new strategy for developing high-performance blue ELEDs based on CDs. 展开更多
关键词 Carbon dots Electroluminescence Controllable preparation Exciton emission Light-emitting diodes
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Carbonized polymer dots:Illuminating synthesis pathways,optical frontiers,and photoelectronic breakthroughs 认领 引用 被引量：1
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作者 Weinan Hu Li Li +5 位作者 Xinyu Wang Yongqiang Zhang Maoping Song Linlin Shi Xinqi Hao Siyu Lu 《Chinese Chemical Letters》 SCIE CAS CSCD 2025年第11期143-156,共14页
Since the discovery of carbonized polymer dots(CPDs)two decades ago,this emerging family of carbonbased nanomaterials has rapidly risen to prominence.CPDs have found widespread applications in sensing,catalysis,energy... Since the discovery of carbonized polymer dots(CPDs)two decades ago,this emerging family of carbonbased nanomaterials has rapidly risen to prominence.CPDs have found widespread applications in sensing,catalysis,energy,and biomedicine due to their flexible precursors and synthesis methods,tunable photoluminescence(PL)properties,and excellent biocompatibility.This report presents the advancements made in the realm of CPD precursors,elucidates their luminescence properties and underlying mechanisms,and explores the diverse applications of CPD-based materials.It comprehensively addresses key issues by delving into several interconnected chapters:Initially exploring the intriguing fluorescence and afterglow properties exhibited by CPDs,subsequently unraveling the complex luminescence mechanisms that underlie these phenomena,emphasizing the crucial aspect of controllable synthesis of CPDs,and ultimately culminating in the precise construction of composite materials tailored for applications in laser and electroluminescent devices.Furthermore,this report aims to provide communication and assistance for the controlled synthesis and expanded applications of CPDs. 展开更多
关键词 Carbonized polymer dots Precursors Optical properties Luminescence mechanisms Applications
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High quantum yield yellow emission carbon dots for the construction of blue light blocking films 认领 引用
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作者 Liwen Wang Boyang Wang +2 位作者 Siyu Lu Shubo Lv Xiaoli Qu 《Chinese Chemical Letters》 SCIE CAS CSCD 2025年第2期216-221,共6页
White light illumination is essential in daily life,however,the substantial amount of blue light it contains can damage human eyes.Therefore,it is important to block this high-energy blue light to protect visual healt... White light illumination is essential in daily life,however,the substantial amount of blue light it contains can damage human eyes.Therefore,it is important to block this high-energy blue light to protect visual health.In this study,yellow-emitting carbon dots(CDs)with a quantum yield exceeding 94%were synthesized using citric acid and urea.These CDs effectively absorb blue light.By incorporating them into polystyrene,multiple films termed CDs-based blue light blocking films(CBFs)were developed,each offering different levels of blue light absorption.These CBFs exhibited excellent transparency and efficient blue light filtering capabilities.This study highlights the potential of high quantum yield CDs,which specifically absorb blue light,as foundational materials for developing light-blocking solutions against highenergy short-wavelength light. 展开更多
关键词 Carbon dots High quantum yield Controllable preparation Blue light blocking Composite film
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DDNet:A Novel Dynamic Lightweight Super-Resolution Algorithm for Arbitrary Scales 认领 引用
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作者 Yiqiao Gong Chunlai Wu +4 位作者 Wenfeng Zheng Siyu Lu Guangyu Xu Lijuan Zhang Lirong Yin 《Computer Modeling in Engineering & Sciences》 SCIE EI 2025年第11期2223-2252,共30页
Recent Super-Resolution(SR)algorithms often suffer from excessive model complexity,high computational costs,and limited flexibility across varying image scales.To address these challenges,we propose DDNet,a dynamic an... Recent Super-Resolution(SR)algorithms often suffer from excessive model complexity,high computational costs,and limited flexibility across varying image scales.To address these challenges,we propose DDNet,a dynamic and lightweight SR framework designed for arbitrary scaling factors.DDNet integrates a residual learning structure with an Adaptively fusion Feature Block(AFB)and a scale-aware upsampling module,effectively reducing parameter overhead while preserving reconstruction quality.Additionally,we introduce DDNetGAN,an enhanced variant that leverages a relativistic Generative Adversarial Network(GAN)to further improve texture realism.To validate the proposed models,we conduct extensive training using the DIV2K and Flickr2K datasets and evaluate performance across standard benchmarks including Set5,Set14,Urban100,Manga109,and BSD100.Our experiments cover both symmetric and asymmetric upscaling factors and incorporate ablation studies to assess key components.Results show that DDNet and DDNetGAN achieve competitive performance compared with mainstream SR algorithms,demonstrating a strong balance between accuracy,efficiency,and flexibility.These findings highlight the potential of our approach for practical real-world super-resolution applications. 展开更多
关键词 DDNet DDNetGAN fully dynamic lightweight arbitrary scale super-resolution algorithm
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Li10Bi:A lithium-rich electride with coexisting superconductivity and solid-state lithium-ion conductivity 认领 引用
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作者 Jingkun Yu Xue Yong Siyu Lu 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第5期77-84,共8页
Electrides,characterized by interstitial quasi-atoms(ISQs)where electrons occupy lattice voids instead of atomic orbitals,provide a unique platform for discovering novel superconductors and mixed-conduction materials.... Electrides,characterized by interstitial quasi-atoms(ISQs)where electrons occupy lattice voids instead of atomic orbitals,provide a unique platform for discovering novel superconductors and mixed-conduction materials.Here,using crystal structure prediction combined with first-principles calculations,we systematically explore lithium-rich Li-Bi compounds under high pressure.Several new Li-rich stoichiometries,LiBi,Li11Bi2,Li9Bi,and Li10Bi,are identified as thermodynamically stable.Among them,the C2/m phase of Li10Bi features one-dimensional ISQ networks,exhibiting both metallic and electride characteristics.Electron-phonon coupling analysis reveals a dome-shaped evolution of superconducting transition temperature(Tc),reaching a maximum value of 9.9 K at 35 GPa,where the superconductivity is primarily driven by strong Li-derived phonon modes.Ab initio molecular dynamics simulations further reveal a temperature-induced superionic transition above 700 K,where Li+ions diffuse freely while Bi atoms remain fixed within the lattice.This coexistence of superconductivity and superionicity within a single crystalline framework highlights Li10Bi as a prototype dual-functional electride,bridging the gap between quantum superconductors and solid-state lithium-ion conductors.These findings open a new route for designing multifunctional materials that integrate electronic and ionic transport for next-generation energy and quantum applications. 展开更多
关键词 high pressure electrides structural search superconductivity
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Kilogram-scale synthesis of carbon quantum dots for hydrogen evolution, sensing and bioimaging 认领 引用 被引量：20
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作者 Weidong Li Yuan Liu +4 位作者 Boyang Wang Haoqiang Song Zhongyi Liu Siyu Lu Bai Yang 《Chinese Chemical Letters》 SCIE CAS CSCD 2019年第12期2323-2327,共5页
The development of large-scale synthetic methods for high quality carbon quantum dots(CQDs) is fundamental to their applications.However,the macroscopic preparation and scale up synthetic of CQDs is still in its infan... The development of large-scale synthetic methods for high quality carbon quantum dots(CQDs) is fundamental to their applications.However,the macroscopic preparation and scale up synthetic of CQDs is still in its infancy.Here,we report a facile,green,kilogram-scale synthesis of high quality fluorescent CQDs derived from poplar leaves via a one-step hydrothermal method.Notably,the throughput of CQDs can reach a level up to as high as 1.4975 kg in one pot.The structure and properties of the as-prepared CQDs were assessed through TEM,XRD,XPS and various spectroscopic methods.The obtained high quality CQD s with a photoluminescent quantum yield of 10.64% showed remarkable stability in aqueous media,rich functional groups,high photostability,consistent photoluminescence within biological pH range and low cytotoxicity.On account of these good properties,we demonstrated the multifunctional application to electrocatalytic water splitting,Fe^3+ sensing and bioimaging.It showed remarkable electrocatalytic activity,Fe^3+ sensitivity and good biocompatibility.This study provides a green,facile,inexpensive and large-scale method for producing high quality CQDs,which provides application value for large-scale production of CQDs. 展开更多
关键词 Kilogram-scale Carbon quantum dots Hydrogen evolution Sensing Bioimaging
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Carbon dots-confined CoP-CoO nanoheterostructure with strong interfacial synergy triggered the robust hydrogen evolution from ammonia borane 认领 引用 被引量：10
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作者 Han Wu Yaojia Cheng +5 位作者 Boyang Wang Yao Wang Min Wu Weidong Li Baozhong Liu Siyu Lu 《Journal of Energy Chemistry》 SCIE EI CAS CSCD 2021年第6期198-205,I0006,共8页
Ammonia borane(NH3BH3,AB) is promising for chemical hydrogen sto rage;however,current systems for rapid hydrogen production are limited by the expensive noble metal catalysts required for AB hydrolysis.Here we r... Ammonia borane(NH3BH3,AB) is promising for chemical hydrogen sto rage;however,current systems for rapid hydrogen production are limited by the expensive noble metal catalysts required for AB hydrolysis.Here we report the design and synthesis of a highly efficient and robust non-noble-metal catalyst for the hydrolysis of AB at 298 K(TOF=89.56 molH2 min-1 molCo-1).Experiments and density functional theory calculations were performed to explore the catalyst’s hybrid nanoparticle heterostructure and its catalytic mechanism.The catalyst comprised nitrogen-doped carbon dots confining CoO and CoP,and exhibited strong interface-induced synergistic catalysis for AB hydrolysis that effectively decreased the energy barriers for the dissociation of both AB and water molecules.The co-doping of N and P introduced numerous defects,and further regulated the reactivity of the carbon layers.The heterogeneous interface design technique presented here provides a new strategy for developing efficient and inexpensive non-noblemetal catalysts that may be applicable in other fields related to energy catalysis. 展开更多
关键词 Nano-heterostructure Interface engineering Ammonia borane Hydrolysis mechanism Hydrogen
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Operando HERFD-XANES and surface sensitive Δμ analyses identify the structural evolution of copper(Ⅱ) phthalocyanine for electroreduction of CO2 认领 引用 被引量：7
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作者 Bingbao Mei Cong Liu +6 位作者 Ji Li Songqi Gu Xianlong Du Siyu Lu Fei Song Weilin Xu Zheng Jiang 《Journal of Energy Chemistry》 SCIE EI CAS CSCD 2022年第1期1-7,I0001,共7页
The quantitative understanding of how atomic-level catalyst structural changes affect the reactivity of the electrochemical CO2reduction reaction is challenging.Due to the complexity of catalytic systems,convention... The quantitative understanding of how atomic-level catalyst structural changes affect the reactivity of the electrochemical CO2reduction reaction is challenging.Due to the complexity of catalytic systems,conventional in situ X-ray spectroscopy plays a limited role in tracing the underlying dynamic structural changes in catalysts active sites.Herein,operando high-energy resolution fluorescence-detected X-ray absorption spectroscopy was used to precisely identify the dynamic structural transformation of well-defined active sites of a representative model copper(Ⅱ)phthalocyanine catalyst which is of guiding significance in studying single-atom catalysis system.Comprehensive X-ray spectroscopy analyses,including surface sensitive△μspectra which isolates the surface changes by subtracting the disturb of bulk base and X-ray absorption near-edge structure spectroscopy simulation,were used to discover that Cu species aggregated with increasing applied potential,which is responsible for the observed evolution of C2H4.The approach developed in this work,characterizing the active-site geometry and dynamic structural change,is a novel and powerful technique to elucidate complex catalytic mechanisms and is expected to con tribute to the rational design of highly effective catalysts. 展开更多
关键词 Operando HERFD-XANES △μanalysis Structural evolution Copper(Ⅱ)phthalocyanine Electrochemical CO2reduction reaction
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Progress on the mechanisms of Ru-based electrocatalysts for the oxygen evolution reaction in acidic media 认领 引用 被引量：6
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作者 Yuanyuan Shi Han Wu +2 位作者 Jiangwei Chang Zhiyong Tang Siyu Lu 《Journal of Energy Chemistry》 SCIE EI CAS CSCD 2023年第10期220-238,I0008,共19页
Water electrolysis using proton-exchange membranes is one of the most promising technologies for carbon-neutral and sustainable energy production.Generally,the overall efficiency of water splitting is limited by the o... Water electrolysis using proton-exchange membranes is one of the most promising technologies for carbon-neutral and sustainable energy production.Generally,the overall efficiency of water splitting is limited by the oxygen evolution reaction(OER).Nevertheless,a trade-off between activity and stability exists for most electrocatalytic materials in strong acids and oxidizing media,and the development of efficient and stable catalytic materials has been an important focus of research.In this view,gaining in-depth insights into the OER system,particularly the interactions between reaction intermediates and active sites,is significantly important.To this end,this review introduces the fundamentals of the OER over Ru-based materials,including the conventional adsorbate evolution mechanism,lattice oxygen oxidation mechanism,and oxide path mechanism.Moreover,the up-to-date progress of representative modifications for improving OER performance is further discussed with reference to specific mechanisms,such as tuning of geometric,electronic structures,incorporation of proton acceptors,and optimization of metal-oxygen covalency.Finally,some valuable insights into the challenges and opportunities for OER electrocatalysts are provided with the aim to promote the development of next-generation catalysts with high activity and excellent stability. 展开更多
关键词 Oxygen evolution reaction Ru-based electrocatalysts Acidic solutions Mechanism Proton-exchange membranes
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Construction of Ru/WO3 with hetero-interface structure for efficient hydrogen evolution reaction 认领 引用 被引量：5
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作者 Xin Xie Yunxiao Fan +6 位作者 Wanyu Tian Meng Zhang Jialin Cai Xingang Zhang Jie Ding Yushan Liu Siyu Lu 《Journal of Energy Chemistry》 SCIE EI CAS CSCD 2023年第8期150-157,I0006,共8页
Water electrolysis is considered as one most promising technique for hydrogen production.The high efficiency electrocatalyst is the key to accelerating the sluggish kinetics of the hydrogen evolution reaction(HER) in ... Water electrolysis is considered as one most promising technique for hydrogen production.The high efficiency electrocatalyst is the key to accelerating the sluggish kinetics of the hydrogen evolution reaction(HER) in alkaline media.In this work,an efficient HER electrocatalyst with hetero-interfacial metal-metal oxide structure was constructed through a redox solid phase reaction(SPR) strategy.During the annealing process under Ar atmosphere,RuO2 and WS2in RuO2/WS2precursor were converted to Ru nanoparticles(NPs) and WO3in situ,where tiny Ru NPs and oxygen vacancies were uniformly distributed onto the newly formed WO3nanosheets.Different characterization techniques were adopted to confirm the successful formation of Ru/WO3electrocatalyst(RWOC).The optimized RWOC sample annealed at 400℃ exhibited the low overpotential value of 13 mV at a current density of 10 mA cm-2and strong durability under the alkaline condition.Density functional theoretical calculations further revealed that the promoted adsorption/desorption rate of reaction intermediates and the accelerated kinetics of HER process were deduced to the synergistic effect between Ru and WO3in electrocatalyst.This work provides a feasible method to fabricate highly efficient HER electrocatalysts. 展开更多
关键词 Ru WO3 Hetero-interface Hydrogen evolution reaction Electrocatalyst
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AFBNet: A Lightweight Adaptive Feature Fusion Module for Super-Resolution Algorithms 认领 引用 被引量：3
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作者 Lirong Yin Lei Wang +7 位作者 Siyu Lu Ruiyang Wang Haitao Ren Ahmed AlSanad Salman A.AlQahtani Zhengtong Yin Xiaolu Li Wenfeng Zheng 《Computer Modeling in Engineering & Sciences》 SCIE EI 2024年第9期2315-2347,共33页
At present,super-resolution algorithms are employed to tackle the challenge of low image resolution,but it is difficult to extract differentiated feature details based on various inputs,resulting in poor generalizatio... At present,super-resolution algorithms are employed to tackle the challenge of low image resolution,but it is difficult to extract differentiated feature details based on various inputs,resulting in poor generalization ability.Given this situation,this study first analyzes the features of some feature extraction modules of the current super-resolution algorithm and then proposes an adaptive feature fusion block(AFB)for feature extraction.This module mainly comprises dynamic convolution,attention mechanism,and pixel-based gating mechanism.Combined with dynamic convolution with scale information,the network can extract more differentiated feature information.The introduction of a channel spatial attention mechanism combined with multi-feature fusion further enables the network to retain more important feature information.Dynamic convolution and pixel-based gating mechanisms enhance the module’s adaptability.Finally,a comparative experiment of a super-resolution algorithm based on the AFB module is designed to substantiate the efficiency of the AFB module.The results revealed that the network combined with the AFB module has stronger generalization ability and expression ability. 展开更多
关键词 Super-resolution feature extraction dynamic convolution attention mechanism gate control
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Unraveling the Dynamic Structural Evolution of Phthalocyanine Catalysts during CO2 Electroreduction 认领 引用 被引量：3
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作者 Jianing Mao Bingbao Mei +6 位作者 Ji Li Shuai Yang Fanfei Sun Siyu Lu Wei Chen Fei Song Zheng Jiang 《Chinese Journal of Structural Chemistry》 SCIE CAS CSCD 2022年第10期82-88,共7页
Understanding the atomic and electronic changes of active sites promotes the whole new sight into electrochemical carbon dioxide reduction reaction(CO2RR),which provides a feasible strategy to achieve carbon neutra... Understanding the atomic and electronic changes of active sites promotes the whole new sight into electrochemical carbon dioxide reduction reaction(CO2RR),which provides a feasible strategy to achieve carbon neutrality.Here we employ operando high-energy resolution fluorescence-detected Xray absorption spectroscopy(HERFD-XAS)to track the structural evolution of Ni(II)phthalocyanine(NiPc),considered as the model catalysts with uniform Ni-N4-C8 moiety,during the CO2RR.The HERFD-XAS method is in favor of elucidating the interaction of the reactant/catalyst interface from the atomic electronic structure dimension,facilitating the establishment of the catalytic mechanism and the dynamic structure changes.Based on operando measurement,surface sensitive difference spectra(△μ)and spectroscopy simulation,the interfacial interactions between the active sites of NiPc and reactants are monitored and the Ni species gradually reduced by increasing the applied potential is discovered.HERFD-XAS method offers an advanced and powerful tool for elucidating the complex catalytic mechanism in further various systems. 展开更多
关键词 CO2electrochemical reduction HERFD-XAS model catalysts difference spectra structural evolution
Convolution-Transformer for Image Feature Extraction 认领 引用 被引量：2
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作者 Lirong Yin Lei Wang +10 位作者 Siyu Lu Ruiyang Wang Youshuai Yang Bo Yang Shan Liu Ahmed AlSanad Salman A.AlQahtani Zhengtong Yin Xiaolu Li Xiaobing Chen Wenfeng Zheng 《Computer Modeling in Engineering & Sciences》 SCIE EI 2024年第10期87-106,共20页
This study addresses the limitations of Transformer models in image feature extraction,particularly their lack of inductive bias for visual structures.Compared to Convolutional Neural Networks(CNNs),the Transformers a... This study addresses the limitations of Transformer models in image feature extraction,particularly their lack of inductive bias for visual structures.Compared to Convolutional Neural Networks(CNNs),the Transformers are more sensitive to different hyperparameters of optimizers,which leads to a lack of stability and slow convergence.To tackle these challenges,we propose the Convolution-based Efficient Transformer Image Feature Extraction Network(CEFormer)as an enhancement of the Transformer architecture.Our model incorporates E-Attention,depthwise separable convolution,and dilated convolution to introduce crucial inductive biases,such as translation invariance,locality,and scale invariance,into the Transformer framework.Additionally,we implement a lightweight convolution module to process the input images,resulting in faster convergence and improved stability.This results in an efficient convolution combined Transformer image feature extraction network.Experimental results on the ImageNet1k Top-1 dataset demonstrate that the proposed network achieves better accuracy while maintaining high computational speed.It achieves up to 85.0%accuracy across various model sizes on image classification,outperforming various baseline models.When integrated into the Mask Region-ConvolutionalNeuralNetwork(R-CNN)framework as a backbone network,CEFormer outperforms other models and achieves the highest mean Average Precision(mAP)scores.This research presents a significant advancement in Transformer-based image feature extraction,balancing performance and computational efficiency. 展开更多
关键词 Transformer E-Attention depth convolution dilated convolution CEFormer
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Different effects of eastern and central Pacific El Niño events on the surface shortwave radiation over southern China in winter 认领 引用
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作者 Ming Cheng Ziniu Xiao +4 位作者 Xinyi Lai Jingjing Xu Siyu Lu Baorong Zhou Weisi Deng 《Atmospheric and Oceanic Science Letters》 CAS CSCD 2026年第1期27-33,共7页
This study investigates the distinct impacts of eastern Pacific(EP)and central Pacific(CP)El Niño events on winter shortwave solar radiation(SSR)in southern China,revealing different spatial distributions and und... This study investigates the distinct impacts of eastern Pacific(EP)and central Pacific(CP)El Niño events on winter shortwave solar radiation(SSR)in southern China,revealing different spatial distributions and underlying mechanisms.The results show that,during the developing winter of EP El Niño,significant SSR reductions occur in southwestern China and the east coast of southern China due to a strong,zonally extended Northwest Pacific anticyclone that transports moisture from the tropical Northwest Pacific and North Indian Ocean,while the northeast of southern China experiences a weak increase in SSR.In contrast,during the developing winter of CP El Niño,SSR decreases in the east of southern China with a significant decrease in the lower basin of the Yangtze River but an increase in the west of southern China with a remarkable increase in eastern Yunnan.The pronounced east-west dipole pattern in SSR anomalies is driven by a meridionally elongated Northwest Pacific anticyclone,which enhances northward moisture transport to the east of southern China while leaving western areas drier.Further research reveals that distinct moisture anomalies during the developing winter of EP and CP events result in divergent SSR distributions across southern China,primarily through modulating the total cloud cover.These findings highlight the critical need to differentiate between El Niño types when predicting medium and long-term variability of radiation in southern China. 展开更多
关键词 EP El Niño CP El Niño Shortwave solar radiation Northwest Pacific anticyclone Total cloud cover Total column water
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Recent advances of imidazole derivatives in pesticide chemistry 认领 引用
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作者 Tingting Du Siyu Lu +2 位作者 Dong Wang Jian Zhang Jixiang Chen 《Chinese Chemical Letters》 SCIE CAS CSCD 2026年第7期136-146,共11页
Imidazole derivatives exhibit broad-spectrum agricultural biological activities and serve as important molecular scaffolds in the discovery of new pesticides,particularly novel herbicides and fungicides.In recent year... Imidazole derivatives exhibit broad-spectrum agricultural biological activities and serve as important molecular scaffolds in the discovery of new pesticides,particularly novel herbicides and fungicides.In recent years,there have been rapid developments in the research of imidazole-derived agricultural chemicals,such as the discovery of imidazole herbicides and fungicides.Therefore,it is significant to provide a review and update on the latest advances in the discovery of imidazole derivatives for pesticide development.Based on this,we systematically reviewed the latest research progress of imidazole derivatives in pesticide discovery,summarized the antiviral,insecticidal,nematicidal,and antibacterial activities of imidazole compounds,analyzed the synthetic methods of representative imidazole compounds,and discussed the active moieties,pharmacophores,structure-activity relationships(SAR),and mechanisms of action.This review aims to provide novel insights and inspiration for the discovery of novel imidazole pesticides. 展开更多
关键词 Imidazole Biological activity Active fragments Synthesis method Mechanism
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A Learning-Driven Visual Servoing Framework for Latency Compensation in Image-Guided Teleoperation 认领 引用
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作者 Junmin Lyu Feng Bao +4 位作者 Guangyu Xu Siyu Lu Bo Yang Yuxin Liu Wenfeng Zheng 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第2期831-847,共17页
Robust teleoperation in image-guided interventions faces critical challenges from latency,deformation,and the quasi-periodic nature of physiological motion.This paper presents a fully integrated,latency-aware visual s... Robust teleoperation in image-guided interventions faces critical challenges from latency,deformation,and the quasi-periodic nature of physiological motion.This paper presents a fully integrated,latency-aware visual servoing system leveraging stereo vision,hand–eye calibration,and learning-based prediction for motion-compensated teleoperation.The system combines a calibrated binocular camera setup,dual robotic arms,and a predictive control loop incorporating Long Short-Term Memory(LSTM)and Temporal Convolutional Network(TCN)models.Through experiments using both in vivo and phantom datasets,we quantitatively assess the prediction accuracy and motion-compensation performance of both models.Results show that TCNs deliver more stable and precise tracking,especially on regular trajectories,while LSTMs exhibit robustness under quasi-periodic dynamics.By matching prediction horizons to system latency,the approach significantly reduces peak and steady-state tracking errors,demonstrating practical feasibility for deploying prediction-augmented servoing in teleoperated surgical. 展开更多
关键词 Teleoperation system motion prediction surgical robot visual servoing learning-based control
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Learning-Based Prediction of Soft-Tissue Motion for Latency Compensation in Teleoperation 认领 引用
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作者 Guangyu Xu Yuxin Liu +4 位作者 Bo Yang Siyu Lu Chao Liu Junmin Lyu Wenfeng Zheng 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第1期1051-1074,共24页
Soft-tissue motion introduces significant challenges in robotic teleoperation,especially in medical scenarios where precise target tracking is critical.Latency across sensing,computation,and actuation chains leads to ... Soft-tissue motion introduces significant challenges in robotic teleoperation,especially in medical scenarios where precise target tracking is critical.Latency across sensing,computation,and actuation chains leads to degraded tracking performance,particularly around high-acceleration segments and trajectory inflection points.This study investigates machine learning-based predictive compensation for latency mitigation in soft-tissue tracking.Three models—autoregressive(AR),long short-term memory(LSTM),and temporal convolutional network(TCN)—were implemented and evaluated on both synthetic and real datasets.By aligning the prediction horizon with the end-to-end system delay,we demonstrate that prediction-based compensation significantly reduces tracking errors.Among the models,TCN achieved superior robustness and accuracy on complex motion patterns,particularly in multi-step prediction tasks,and exhibited better latency–horizon compatibility.The results suggest that TCN is a promising candidate for real-time latency compensation in teleoperated robotic systems involving dynamic soft-tissue interaction. 展开更多
关键词 Medical robotics teleoperation soft tissue tracking motion prediction real-time control
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