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Temperature-responsive Behavior of Polymer Fluorescent System via Electrostatic Interaction Mediated Aggregation/Deaggregation 认领 引用
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作者 si-hua guo fang-yuan zheng +1 位作者 fang zeng 吴水珠 《Chinese Journal of Polymer Science》 SCIE EI CAS CSCD 2016年第7期830-837,共8页
A simple and effective polymer fluorescent thermosensitive system was successfully developed based on the synergistic effect of excimer/monomer interconversion of pyrene derivatives and electrostatic interaction betwe... A simple and effective polymer fluorescent thermosensitive system was successfully developed based on the synergistic effect of excimer/monomer interconversion of pyrene derivatives and electrostatic interaction between polyelectrolyte and charged fluorophore. As for the system, the excimer-monomer conversion, thermosensitive behavior and thermo-responsive reversibility were investigated experimentally. Temperature variation and temperature-distribution induced fluorescence changes can be observed directly by naked eyes. Thus, this polymer system holds promise for serving as a fluorescent thermometer. 展开更多
关键词 Polymer fluorescent thermometer Temperature-responsive Electrostatic interaction Aggregation Deaggregation
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Fluorescent Recognition of Small Organic Molecules Based on Supramolecular Aggregation/Deaggregation of Planar Cu(Ⅱ)Coordination Complex 认领 引用
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作者 Liang Hao Tong Zhang +1 位作者 Ge Chang Hui Li 《Chinese Journal of Chemistry》 SCIE CAS CSCD 2015年第4期425-430,共6页
A Cu(II)coordination complex(1)with Schiff ligand derived from diaminomaleonitrile was synthesized and characterized,in which the ligand is rigid,planar and conjugated.The complex 1 displays an interesting fluorescent... A Cu(II)coordination complex(1)with Schiff ligand derived from diaminomaleonitrile was synthesized and characterized,in which the ligand is rigid,planar and conjugated.The complex 1 displays an interesting fluorescent property relative to solvents which can be turned-on by CH2Cl2 and CHCl3 solvent molecules.The mechanism of this selective fluorescence emission has been studied based on the crystal structure and the spectrum analysis.The tuning on and off fluorescence of complex 1 can be controlled by the process of supramolecular aggregation/deag-gregation in different solvents. 展开更多
关键词 fluorescence recognition crystal structure diaminomaleonitrile Cu(Ⅱ)coordination complex supramolecular aggregation/deaggregation
Granulated organic amendment enhances recalcitrant carbon accumulation through soil aggregation in a barren paddy field 认领 引用
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作者 Yan Li Xiaobin Guo +9 位作者 Yingnan Xian Zhe Li Haoyu Fu Li Tang Yuting Dai Wei Gao Yan Li Ping Zhou Shoulong Liu Jinshui Wu 《Journal of Integrative Agriculture》 SCIE CAS CSCD 2026年第3期1194-1208,共15页
Barren paddy fields characterized by poor soil structure,shallow tillage layers and low organic carbon content are a common limitation to rice production in subtropical China.As a novel approach to soil improvement,gr... Barren paddy fields characterized by poor soil structure,shallow tillage layers and low organic carbon content are a common limitation to rice production in subtropical China.As a novel approach to soil improvement,granulated organic amendments offer significant potential.Previous studies have shown that granulated straw can improve soil physicochemical properties and rapidly increase the soil organic carbon(SOC)content.However,their effects on barren paddies remain underexplored.This study evaluated four soil amendment strategies:no organic amendments(CK),10 t ha–1of composted manure(M10),20 t ha–1of granulated organic amendment(G20),and 40 t ha–1of granulated organic amendment(G40).The objective was to assess the effects of these amendments on soil structure,the contents of aggregate-associated carbon(AAC),particulate organic carbon(POC)and mineral-associated organic carbon(MAOC),and the chemical stability of MAOC among various size aggregates in both topsoil(0–20 cm)and subsoil(20–40 cm).The results demonstrated that organic amendment inputs significantly increased the macroaggregate(>250μm)proportion and improved soil structural stability.These amendments also elevated the carbon concentration within aggregates of various sizes and facilitated the redistribution of organic carbon from microaggregates(53–250μm)and silt+clay fractions(<53μm)to macroaggregates.The proportion of POC to AAC declined with decreasing aggregate size,whereas the proportion of MAOC increased.In the topsoil,macroaggregate formation enhanced the protection of POC,supported the accumulation of non-hydrolyzable carbon within MAOC,and accelerated the formation of intra-microaggregates.In the subsoil,mineral-bound organic carbon remained the dominant form of carbon sequestration.In conclusion,the application of 40 t ha–1of granulated organic amendment proved to be a successful tactic for enhancing soil physicochemical structure,increasing SOC content,and improving carbon stability.This approach offers a promising and innovative solution for the sustainable management and restoration of barren paddy fields. 展开更多
关键词 granulated organic amendment soil aggregates aggregate-associated carbon fraction recalcitrant carbon
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Federated Dynamic Aggregation Selection Strategy-Based Multi-Receptive Field Fusion Classification Framework for Point Cloud Classification 认领 引用
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作者 Yuchao Hou Biaobiao Bai +3 位作者 Shuai Zhao Yue Wang Jie Wang Zijian Li 《Computers, Materials & Continua》 SCIE EI 2026年第2期1889-1918,共30页
Recently,large-scale deep learning models have been increasingly adopted for point cloud classification.However,thesemethods typically require collecting extensive datasets frommultiple clients,which may lead to priva... Recently,large-scale deep learning models have been increasingly adopted for point cloud classification.However,thesemethods typically require collecting extensive datasets frommultiple clients,which may lead to privacy leaks.Federated learning provides an effective solution to data leakage by eliminating the need for data transmission,relying instead on the exchange of model parameters.However,the uneven distribution of client data can still affect the model’s ability to generalize effectively.To address these challenges,we propose a new framework for point cloud classification called Federated Dynamic Aggregation Selection Strategy-based Multi-Receptive Field Fusion Classification Framework(FDASS-MRFCF).Specifically,we tackle these challenges with two key innovations:(1)During the client local training phase,we propose a Multi-Receptive Field Fusion Classification Model(MRFCM),which captures local and global structures in point cloud data through dynamic convolution and multi-scale feature fusion,enhancing the robustness of point cloud classification.(2)In the server aggregation phase,we introduce a Federated Dynamic Aggregation Selection Strategy(FDASS),which employs a hybrid strategy to average client model parameters,skip aggregation,or reallocate local models to different clients,thereby balancing global consistency and local diversity.We evaluate our framework using the ModelNet40 and ShapeNetPart benchmarks,demonstrating its effectiveness.The proposed method is expected to significantly advance the field of point cloud classification in a secure environment. 展开更多
关键词 Point cloud classification federated learning multi-receptive field fusion dynamic aggregation
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Macroaggregation positively impacts accumulation of organic nitrogen in an Aquic Inceptisol following straw incorporation 认领 引用
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作者 Xianfeng ZHANG Guocui REN +2 位作者 Xiuli XIN Wenliang YANG Anning ZHU 《Pedosphere》 SCIE CAS CSCD 2026年第3期818-829,共12页
Soil physical fractions(including aggregates and physical subfractions)and organic nitrogen(N)forms have been extensively studied,but the influence of soil N forms in physical fractions on soil organic N accumulation ... Soil physical fractions(including aggregates and physical subfractions)and organic nitrogen(N)forms have been extensively studied,but the influence of soil N forms in physical fractions on soil organic N accumulation remains unclear.In this study,an arable soil,belonging to an Aquic Inceptisol,was collected from a 5-year continuous straw management experiment to investigate the characteristics of organic N accumulation and its associations with soil aggregates and physical subfractions under contrasting management practices(straw incorporation vs.straw removal).We analyzed soil aggregate distribution,physical subfractions within macro-and microaggregates,and organic N fractions,including hydrolyzable ammonium N(HAN),amino sugar N(ASN),amino acid N(AAN),hydrolyzable unidentified N(HUN),and non-hydrolyzable N(NHN).The concentrations of soil total N and potentially mineralizable N were measured to assess soil N accumulation and availability,respectively.Compared with those under straw removal,the distributions of organic N fractions in bulk soil under straw incorporation were significantly increased:HAN by 50.9%,ASN by 12.6%,AAN by 10.2%,HUN by 57.4%,and NHN by 14.2%.Straw incorporation significantly increased the concentrations of total N and potentially mineralizable N.Path analysis suggested that different organic N fractions contributed variably to soil N accumulation and availability;NHN and HUN contributed the most to soil N accumulation,while HAN and HUN were the primary contributors to soil N availability.From the perspective of soil aggregation,straw incorporation increased the mass of macroaggregates by 11.2%,and macroaggregates exhibited higher accumulation efficiency and greater contributions to organic N fractions compared with microaggregates and the silt+clay fraction.Furthermore,the increase in each organic N fraction,particularly HAN,HUN,and NHN in fine intra-aggregate particulate organic matter,primarily accounted for the enhanced macroaggregate-associated organic N.The findings of this study highlight the positive effects of macroaggregation on N accumulation and availability in the tested Aquic Inceptisol following continuous straw incorporation. 展开更多
关键词 N accumulation organic N fraction physical subfraction potentially mineralizable N soil aggregate soil N availability straw management practice
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PointNMSA: An Improved PointNeXt Network with Non-Local Multi-Scale Aggregation for 3D Point Cloud Semantic Segmentation 认领 引用
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作者 Aihua Wu Chenlu Huang 《Computers, Materials & Continua》 SCIE EI 2026年第8期1632-1649,共18页
Three-dimensional(3D)point cloud semantic segmentation is a core task in indoor scene understanding,providing detailed semantic information about spatial structures and object categories in indoor environments.Althoug... Three-dimensional(3D)point cloud semantic segmentation is a core task in indoor scene understanding,providing detailed semantic information about spatial structures and object categories in indoor environments.Although methods based on deep learning have made steady progress in recent years,accurately segmenting complex indoor scenes remains challenging due to the unordered nature of point clouds and variations across large scales.Most existing networks have limited capability for multi-scale feature aggregation and struggle to balance local geometric details with global semantic context.These issues are further exacerbated by hierarchical downsampling,which often leads to the loss of fine-grained structural information.Moreover,feature interaction restricted to local neighborhoods may limit the capture of non-local semantic dependencies in complex indoor scenes.To address these limitations,we propose PointNMSA(PointNeXt with Non-local Multi-Scale Aggregation),an improved semantic segmentation network built upon the PointNeXt backbone.A Multi-Scale Feature Enhancement(MSFE)module is introduced in the decoding stage to fuse features from different encoding levels,and further refines the fused features to produce more stable multi-scale representations,which preserves geometric details across scales.In addition,a Convolution-Attention Mixing(CA-Mix)module is designed to jointly integrate local spatial structures and non-local contextual dependencies via dual-stream aggregation and multi-dimensional attention fusion,thereby enabling more discriminative feature representations.Experiments on the Stanford Large-Scale 3D Indoor Spaces(S3DIS)benchmark demonstrate the effectiveness of PointNMSA.On the Area 5 test split,PointNMSA achieves a mean intersection over union(mIoU)of 65.10%,outperforming the PointNeXt baseline by 1.59%,while introducing only a modest increase in computational cost(latency from 42.24 to 45.18 ms and parameters from 3.16 to 8.67M).Despite the noticeable growth in parameter count,the increase in inference latency remains relatively limited,indicating a favorable trade-off between segmentation accuracy and computational efficiency.Additional cross-dataset experiments on ScanNet further verify that PointNMSA maintains stable gains under different indoor scene distributions.Such performance gains suggest that PointNMSA provides a more robust and generalizable solution for semantic segmentation in large-scale indoor environments with complex structural layouts. 展开更多
关键词 3D point cloud semantic segmentation indoor scene understanding multi-scale feature aggregation non-local context integration PointNeXt
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Effects of photoaged polystyrene microplastics and nanoplastics on the extracellular aggregation and intracellular accumulation of ZnO nanoparticles to algae 认领 引用
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作者 Qiong Zeng Ruohua Qu +2 位作者 Qiong Wen Na Liu Fei Ge 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2026年第4期821-830,共10页
Microplastics(MPs)and nanoplastics(NPs)can alter the behavior of co-existing pollutants in aquatic environments through their interactions.However,limited information was available on how the interactions between phot... Microplastics(MPs)and nanoplastics(NPs)can alter the behavior of co-existing pollutants in aquatic environments through their interactions.However,limited information was available on how the interactions between photoaged MPs/NPs and nanoparticles affect the extracellular aggregation and intracellular accumulation of nanoparticles and their associated ecological risk.Here,we investigated the effects of interactions between photoaged polystyrene MPs and NPs(aged PS MPs/NPs)and zinc oxide nanoparticles(nano-ZnO)on the green alga Chlorella vulgaris.Results proved that the adsorption of nano-ZnO on aged PS MPs/NPs,particularly aged PS NPs,via electrostatic force and hydrogen bonds was enhanced compared to that on pristine PS MPs/NPs.Molecular dynamic simulations confirmed stronger electrostatic force and van der Waals force between nano-ZnO and aged PS MPs/NPs.Furthermore,the binding affinity dissociation constant of nano-ZnO to the algal cells(32.4 and 45.0μmol/L)in the presence of aged PS MPs/NPs was significantly higher than that of pristine PS MPs/NPs(24.0 and 7.0μmol/L).The enhanced extracellular aggregation of nano-ZnO by aged PS MPs/NPs inhibited the Zn intracellular accumulation in algal cells.Nevertheless,this inhibitory effect was relatively weak for PS NPs due to their internalization carrying nano-ZnO into the algal cells.Despite the reduction of Zn intracellular accumulation,aged PS MPs/NPs still increased the ecological risk of nano-ZnO to aquatic organisms from medium to high risk through aggregation.These findings provide deeper insights into the environmental behavior and ecological risk of aged MPs/NPs. 展开更多
关键词 Microplastics Nanoplastics Photoaging Aggregation Bioaccumulation
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Homogentisic Acid Disrupts the Blood-Brain Barrier and Promotes Aβ Aggregation in Alzheimer's Disease 认领 引用
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作者 Xin Liu Qing-qing Xu +11 位作者 Yi-bo Zhang Shi-yu Yuan Wen-li Huang Ming-shan Pi Qi Xiong Yu-ran Gui Shi-chao Deng Ling Wan Yi-fan Xiao Xiao-chuan Wang Xi-ji Shu Yi-yuan Xia 《Current Medical Science》 SCIE CAS CSCD 2026年第1期229-243,共15页
Objective Alzheimer's disease(AD)is a progressive neurodegenerative disease associated with metabolic dysregulation.This study aimed to investigate the role of homogentisic acid(HGA),a tyrosine metabolite,in AD pa... Objective Alzheimer's disease(AD)is a progressive neurodegenerative disease associated with metabolic dysregulation.This study aimed to investigate the role of homogentisic acid(HGA),a tyrosine metabolite,in AD pathogenesis and explore its potential as a noninvasive diagnostic biomarker.Methods Human saliva samples from AD patients and controls were analyzed.In vivo experiments were conducted using APP/PS1(Aβ-driven)and P301S(tauopathy-focused)mouse models,which received exogenous HGA via gavage.Key techniques included behavioral tests(Morris water maze,novel object recognition,fear conditioning),Western blot,immu-nofluorescence,real-time PCR,and mass spectrometry to assess cognitive function,blood-brain barrier(BBB)integrity,Aβaggregation,synaptic protein expression,and HGA metabolism.In vitro experiments were performed on HT22,SY5Y cells,and primary brain microvascular endothelial cells(BMECs)to verify HGA's direct effects.Results Salivary HGA levels were higher in AD patients than in controls,correlating with BBB impairment.Exogenous HGA significantly exacerbated cognitive deficits,BBB leakage,Aβdeposition,and loss of synaptic proteins(PSD93,synaptophy-sin)in mice,with effects more pronounced in the APP/PS1 than in the P301S model.In vitro,HGA exerted dose-dependent neurotoxicity,promoted Aβaggregation,and downregulated tight junction proteins(claudin-5,occludin,ZO-1)in BMECs.Mechanistically,AD patients showed reduced expression of HGA-metabolizing enzymes(homogentisate 1,2-dioxygenase,maleylacetoacetate isomerase)and downstream metabolites,indicating impaired HGA catabolism.These findings confirm HGA promotes AD progression via two mutually reinforcing pathways:(1)accelerating Aβaggregation and synaptic dys-function;(2)disrupting BBB integrity through downregulating tight junction proteins.Conclusion This study identifies salivary HGA as a potential noninvasive biomarker and highlights targeting HGA metabo-lism or BBB protection as promising strategies for early AD intervention. 展开更多
关键词 Homogentisic acid Alzheimer's disease Bloodbrain barrier Aβaggregation Salivary biomarker Metabolic dysregulation
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Photovoltaic Parameter Estimation Using a Parallelized Triangulation Topology Aggregation Optimization with Real-World Dataset Validation 认领 引用
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作者 Jun Zhe Tan Rodney H.G.Tan +4 位作者 Nor Ashidi Mat Isa Sew Sun Tiang Chun Kit Ang Kuo-Ping Lin Wei Hong Lim 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第2期691-736,共46页
Accurate estimation of photovoltaic(PV)parameters is essential for optimizing solar module perfor-mance and enhancing resource efficiency in renewable energy systems.This study presents a process innovation by introdu... Accurate estimation of photovoltaic(PV)parameters is essential for optimizing solar module perfor-mance and enhancing resource efficiency in renewable energy systems.This study presents a process innovation by introducing,for the first time,the Triangulation Topology Aggregation Optimizer(TTAO)integrated with parallel computing to address PV parameter estimation challenges.The effectiveness and robustness of TTAO are rigorously evaluated using two standard benchmark datasets(KC200GT and R.T.C.France solar cells)and a real-world dataset(Poly70W solar module)under single-,double-,and triple-diode configurations.Results show that TTAO consistently achieves superior accuracy by producing the lowest RMSE values and faster convergence compared to state-of-the-art metaheuristic algorithms.In addition,the integration of parallel computing significantly enhances computational efficiency,reducing execution time by up to 85%without compromising accuracy.Validation using real-world data further demonstrates TTAO’s adaptability and practical relevance in renewable energy systems,effectively bridging the gap between theoretical modeling and real-world implementation for PV system monitoring and optimization,contributing to climate mitigation through improved solar energy performance. 展开更多
关键词 Photovoltaic(PV) parameters estimation triangulation topology aggregation optimizer(TTAO) parallel computing optimization
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Multiscale Long-Distance Feature Aggregation Network for Geospatial Semantic Segmentation in High-Resolution Remote Sensing Imagery 认领 引用
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作者 Guangyu Xu Yuxi Ban +3 位作者 Legend Zhang Junmin Lyu Feng Bao Wenfeng Zheng 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第7期935-957,共23页
High-resolution remote sensing semantic segmentation is a fundamental task in Geospatial Artificial Intelligence(GeoAI).Existing CNN-based methods are effective for local and multiscale feature extraction but often la... High-resolution remote sensing semantic segmentation is a fundamental task in Geospatial Artificial Intelligence(GeoAI).Existing CNN-based methods are effective for local and multiscale feature extraction but often lack progressive cross-scale semantic propagation,while attention-and Transformer-based methods improve global spatial modeling but generally ignore frequency-domain regularities.To address these limitations,this study proposes a Multiscale Long-Distance Feature Aggregation Network(MLFANet),a unified spatial-frequency segmentation framework for high-resolution remote sensing imagery.MLFANet introduces three key components:a Multiscale Global Dependency Extraction module for cascaded cross-scale contextual refinement,an FFT-based frequency-domain branch with learnable global filtering for capturing structural and texture regularities,and a bidirectional Spatial-Frequency Fusion module for adaptively aligning spatial details with frequency responses.Experiments on the ISPRS Potsdam and Vaihingen datasets demonstrate the effectiveness and feasibility of the proposed model.MLFANet achieves AF,MIoU,and OA values of 86.03%,76.21%,and 88.70%on Potsdam,and 83.17%,71.90%,and 86.33%on Vaihingen,respectively,outperforming representative CNN-based,attention-based,and hybrid models in overall metrics.In terms of computational complexity,MLFANet requires 17.49 GFLOPs under an input size of 256×256 pixels,indicating its practical feasibility for patch-based high-resolution remote sensing segmentation.Ablation studies further verify that multiscale dependency extraction,frequency-domain modeling,and adaptive spatial-frequency fusion each contribute to the final performance. 展开更多
关键词 Geospatial artificial intelligence(GeoAI) high-resolution remote sensing images semantic segmentation spatial-frequency fusion multiscale feature aggregation attention mechanism
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CTSO-DRNN:Energy-Aware Delay Prediction and Optimized Data Aggregation in IoT-Based Wireless Sensor Networks 认领 引用
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作者 Reshma Siyal Jun Long +3 位作者 Muhammad Asim Mudasir Ahmad Wani Kashish Ara Shakil Sajid Shah 《Computers, Materials & Continua》 SCIE EI 2026年第7期1808-1823,共16页
The rapid growth of the Internet of Things(IoT)has led to dense wireless sensor networks(WSNs)deployed in critical applications such as smart cities,industrial monitoring,and healthcare.However,energy constraints,unpr... The rapid growth of the Internet of Things(IoT)has led to dense wireless sensor networks(WSNs)deployed in critical applications such as smart cities,industrial monitoring,and healthcare.However,energy constraints,unpredictable communication delays,and inefficient data aggregation remain significant challenges that limit network reliability and operational lifespan.Traditional approaches often fail to balance delay minimization with energy efficiency,especially in large-scale or dynamic networks.To address these issues,this study proposes CTSO-DRNN,a novel framework that integrates Chronological Tangent Search Optimization(CTSO)with a Deep Recurrent Neural Network(DRNN)for accurate delay prediction and optimized data aggregation.The framework constructs Link Delay-Distance(LDD)trees to guide hierarchical communication and leverages CTSO to optimize the DRNN for predicting network delays,enabling adaptive scheduling and energy-aware operation.Experimental findings from simulated WSNs comprising 100 to 250 nodes indicate that the CTSO-DRNN approach decreases the average communication delay by roughly 28%to 60%,increases link lifetime by 8%to 30%,and reduces routing distance by 14%to 25%when compared to various leading-edge techniques across diverse network densities.These improvements highlight the framework’s ability to maintain low latency,prolong network operation,and enhance overall energy efficiency. 展开更多
关键词 Internet of Things(IoT) wireless sensor networks deep recurrent neural network chronological tangent search optimization data aggregation
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Deaggregation of long chain alkylβ-naphthoic acid ester withβ-CD andα-CD:A mimic way to remove excessive fat from fatty liver 认领 引用
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作者 Chun Xi Zhai Hai Ning Gu +2 位作者 Da Yong Sang Juan Tian Qi Zhong Zhou 《Chinese Chemical Letters》 SCIE CAS 2008年第6期720-724,共5页
The deaggregating ability ofβ-CD andα-CD against the aggregated n-hexadecylβ-naphthoate(A16)and n-dodecylβ-naphthoate(A12)depended not only on the aggregating tendency of A16 and A12 but also on the initial concen... The deaggregating ability ofβ-CD andα-CD against the aggregated n-hexadecylβ-naphthoate(A16)and n-dodecylβ-naphthoate(A12)depended not only on the aggregating tendency of A16 and A12 but also on the initial concentration of the aggregated A16 or A12.The inclusive ability ofβ-CD with the substrates is greater than that ofα-CD under hydrophobiclipophilic interaction. 展开更多
关键词 Deaggregation Aggregation Coaggregation Critical aggregating concentration
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Seeing the Unseen:Super-Resolution Microscopy in Protein Aggregation Research 认领 引用
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作者 Molly J.M.Turner Junsheng Chen +1 位作者 Nikos S.Hatzakis Min Zhang 《Chemical & Biomedical Imaging》 CAS CSCD 2026年第2期116-129,共14页
Super-resolution microscopy surpasses the diffraction limit and enables the visualization of biomolecular structures with unprecedented detail.These techniques have been widely used in many scientific areas,including ... Super-resolution microscopy surpasses the diffraction limit and enables the visualization of biomolecular structures with unprecedented detail.These techniques have been widely used in many scientific areas,including cell biology,genomics,microbiology,and material science.In the field of protein aggregation,a process intimately linked to numerous neurodegenerative diseases,the high spatial resolution of super-resolution microscopy enables the direct observation of the fine structure of different species,ranging from small oligomers to mature aggregates,providing insights into molecular aggregation mechanisms and the pathology of neurodegenerative diseases,such as Parkinson’s,Alzheimer’s,and Huntington’s disease.In this review,we outline the principles of three major super-resolution microscopy techniques,including stimulated emission depletion(STED),structured illumination microscopy(SIM),and single-molecule localization microscopy(SMLM),and compare their respective strengths and limitations in studying protein aggregation.We then highlight the recent applications of these techniques in studying protein aggregation,with a focus on aggregate morphology,dynamic formation processes,and interactions with cellular components. 展开更多
关键词 super-resolution microscopy protein aggregation neurodegenerative disease morphology aggregation pathways distribution toxicity pathology
A squaraine based fluorescent probe for mercury ion via coordination induced deaggregation signaling 认领 引用 被引量：4
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作者 Shuang-Yong Lin Hui-Jun Zhu +2 位作者 Wen-Jian Xu Gui-Mei Wang Nan-Yan Fu 《Chinese Chemical Letters》 SCIE CAS CSCD 2014年第9期1291-1295,共5页
Due to the high affinity between dithiocarbamate （DTC） and Hg2＋, a fluorescent probe based on squaraine chromophore with DTC side arm for Hg2＋ via coordination induced deaggregation signaling has been designed and... Due to the high affinity between dithiocarbamate （DTC） and Hg2＋, a fluorescent probe based on squaraine chromophore with DTC side arm for Hg2＋ via coordination induced deaggregation signaling has been designed and synthesized. Squaraine has a high tendency to aggregate in aqueous solution, and such self-aggregation usually results in a dramatic absorption spectral broadening with fluorescence emission quenching. The combination of the DTC side arm of the probe with Hg2＋ induces steric hindrance, leading to the deaggregation of the dye complex, companying with a fluorescence emission restoration. In EtOH-H2O （20：80, v/v） solution, this ＂turn on＂ fluorescent probe has high selectivity and sensitivity toward Hg2＋ over other metal ions, and the limit of detection for Hg2＋ was estimated as 2.19 × 10^-8 mol/L by 3σ/k. 展开更多
关键词 Squaraine dye Fluorescent probe Coordination induced deaggregation Mercury ion detection
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Review and Comprehensive Analysis of Deaggregation and Separation Methods for Asphaltene Aggregates 认领 引用 被引量：3
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作者 Cai Xinheng Long Jun +3 位作者 Dong Ming Wang Wei Hou Huandi Tian Songbai 《China Petroleum Processing & Petrochemical Technology》 CAS 2020年第2期10-20,共11页
Asphaltenes generally exist in the form of molecular aggregates in crude oil or in petroleum residues,and asphaltene aggregates can usually cause serious problems to oil exploitation,transportation,and processing.Achi... Asphaltenes generally exist in the form of molecular aggregates in crude oil or in petroleum residues,and asphaltene aggregates can usually cause serious problems to oil exploitation,transportation,and processing.Achieving deaggregation and separation of asphaltene aggregates is a premise and basis for molecular characterization and processing of heavy oils.Aiming at the intermolecular interactions in asphaltene molecular aggregates,it has proposed and summarized that aspahltene aggregates can be subject to deaggregation by means of five approaches,including solvent diluting,removing active sites,moderate heating,ultrasonication and on-line molecular collision.Moreover,asphaltenes can be further separated to narrow fractions for molecular-level research based on polarity difference,molecular size difference,acid-base properties,and reactivity difference. 展开更多
关键词 asphaltene molecular aggregates deaggregation separation
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Optimizing force aggregation:SATC-ALO and SOM hybrid clustering model 认领 引用
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作者 ZHANG Zhenxing YANG Rennong +1 位作者 ZHANG Ying SONG Qi 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2026年第2期604-615,共12页
To overcome the limitations of traditional force aggregation methods,this paper proposes a novel clustering model integrating the self-adaptive tent chaos search ant lion optimizer(SATC-ALO)and the self-organizing map... To overcome the limitations of traditional force aggregation methods,this paper proposes a novel clustering model integrating the self-adaptive tent chaos search ant lion optimizer(SATC-ALO)and the self-organizing map(SOM)network.The model introduces a hybrid distance calculation method to measure inter-target distances and enhances the ant lion optimization algorithm through tent chaos sequences,adaptive tent chaos search,tournament selection,and logistic chaos sequences.Aggregation accuracy is evaluated using minimum quantization error and confidence value for the SOM neural network.The model is resolved using SATC-ALO and SOM independently,with experiments demonstrating that SOM achieves fast and accurate grouping,while SATC-ALO offers higher precision but requires longer computational runtime,making it more suitable for hybrid approaches.Both methods are validated as practical solutions for force aggregation tasks. 展开更多
关键词 force aggregation fuzzy inference hybrid calculating method self-adaptive tent chaos search ant lion optimizer(SATC-ALO)algorithm self organizing maps network(SOM)
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A CLIL-Based Approach to Integrating“News Aggregation”with Values Education in an International Trade Practice Course 认领 引用
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作者 Ying Cui Zhongxing Ye 《Journal of Contemporary Educational Research》 2026年第2期25-32,共8页
This paper proposes a CLIL-based pedagogical design integrating values education into a Chinese university International Trade Practice course.Addressing the“two-skin phenomenon”-the disconnect between professional ... This paper proposes a CLIL-based pedagogical design integrating values education into a Chinese university International Trade Practice course.Addressing the“two-skin phenomenon”-the disconnect between professional knowledge and values cultivation-we introduce an innovative“News Aggregation”approach as a contextualized CLIL strategy.Grounded in CLIL’s 4Cs framework,our design uses authentic news materials to create dynamic,experiential learning environments that simultaneously develop disciplinary knowledge,Business English proficiency,and ethical awareness,fostering cultural confidence and global responsibility.Through a detailed module-based redesign,we demonstrate how CLIL can support dual-focused instruction,enhancing engagement and critical thinking while incorporating civic values into professional education,preparing globally qualified graduates with a strong national identity.Our study contributes to international CLIL discourse by offering a transferable blueprint for integrating language,content,and values in specialized higher education contexts. 展开更多
关键词 CLIL Values education News Aggregation International Trade Practice Higher education China
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MMHCA:Multi-feature representations based on multi-scale hierarchical contextual aggregation for UAV-view geo-localization 认领 引用 被引量：3
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作者 Nanhua CHEN Tai-shan LOU Liangyu ZHAO 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2025年第6期517-532,共16页
In global navigation satellite system denial environment,cross-view geo-localization based on image retrieval presents an exceedingly critical visual localization solution for Unmanned Aerial Vehicle(UAV)systems.The e... In global navigation satellite system denial environment,cross-view geo-localization based on image retrieval presents an exceedingly critical visual localization solution for Unmanned Aerial Vehicle(UAV)systems.The essence of cross-view geo-localization resides in matching images containing the same geographical targets from disparate platforms,such as UAV-view and satellite-view images.However,images of the same geographical targets may suffer from occlusions and geometric distortions due to variations in the capturing platform,view,and timing.The existing methods predominantly extract features by segmenting feature maps,which overlook the holistic semantic distribution and structural information of objects,resulting in loss of image information.To address these challenges,dilated neighborhood attention Transformer is employed as the feature extraction backbone,and Multi-feature representations based on Multi-scale Hierarchical Contextual Aggregation(MMHCA)is proposed.In the proposed MMHCA method,the multiscale hierarchical contextual aggregation method is utilized to extract contextual information from local to global across various granularity levels,establishing feature associations of contextual information with global and local information in the image.Subsequently,the multi-feature representations method is utilized to obtain rich discriminative feature information,bolstering the robustness of model in scenarios characterized by positional shifts,varying distances,and scale ambiguities.Comprehensive experiments conducted on the extensively utilized University-1652 and SUES-200 benchmarks indicate that the MMHCA method surpasses the existing techniques.showing outstanding results in UAV localization and navigation. 展开更多
关键词 Geo-localization Image retrieval UAV Hierarchical contextual aggregation Multi-feature representations
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Mechanistic insights into honey-boiled detoxification of ChuanWu:A study on alkaloid transformation and supramolecular aggregation 认领 引用 被引量：2
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作者 Yu Zheng Nina Wei +5 位作者 Chang Lu Weidong Li Xiaobin Jia Linwei Chen Rui Chen Zhipeng Chen 《Journal of Pharmaceutical Analysis》 SCIE CAS CSCD 2025年第9期2083-2100,共18页
ChuanWu(CW),the dried mother root of Aconitum carmichaelii Debx.,is a well-known traditional Chinese medicine(TCM)recognized for its potent efficacy but inherent toxicity,primarily due to its alkaloid content.Traditio... ChuanWu(CW),the dried mother root of Aconitum carmichaelii Debx.,is a well-known traditional Chinese medicine(TCM)recognized for its potent efficacy but inherent toxicity,primarily due to its alkaloid content.Traditional and modern detoxification methods for CW include proper processing,rational compatibility,and specialized decoction techniques,among which honey-boiled CW is particularly distinctive.However,research on the detoxification mechanism of honey-boiled CW remains limited.This study investigated this mechanism by analyzing alkaloid transformation and supramolecular aggregation.Honey-boiled and water-boiled CW preparations were compared.Ultra-high-performance liquid chromatography-tandem mass spectrometry was used to analyze CW alkaloids,specifically diester alkaloids(DDAs),monoester alkaloids(MDAs),and non-esterified diterpenoid alkaloids(NDAs).Transmission electron microscopy was employed to observe and identify supramolecular aggregates in the honey-boiled CW decoction.In vivo absorption of water-boiled,honey-boiled,and NADES-boiled CW was compared.Median lethal dose(LD50)tests assessed toxicity,including hepatotoxicity and nephrotoxicity.In vitro experiments evaluated the safety,anti-inflammatory,and analgesic effects of CW-medicated serum on RAW264.7 cells,with in vivo validation in mice.Results showed that honey promoted the conversion of highly toxic DDAs to less toxic MDAs and prevented MDAs from hydrolyzing into NDAs.Honey-boiled CW formed approximately 250 nm supramolecular aggregates that encapsulated MDAs,inhibiting their conversion to NDAs.These encapsulated MDAs acted as a stable delivery system with higher bioavailability than free benzoylmesaconine.Subsequent mouse experiments confirmed that honey-boiled CW significantly increased the LD50 of CW while reducing hepatotoxicity and nephrotoxicity.Additionally,honey-boiled CW significantly improved cell safety and enhanced anti-inflammatory and analgesic effects.Our findings reveal that honey-boiled CW exhibits a potent detoxification mechanism by influencing alkaloid transformation and facilitating the formation of supramolecular aggregates.This study lays the groundwork for developing detoxification or synergistic strategies within honey-boiled TCM. 展开更多
关键词 Aconitum carmichaelii Debx. Honey Toxicity analysis Alkaloid transformation Supramolecular aggregates Detoxification mechanism
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Flexible region aggregation of adjustable loads via an adaptive convex hull strategy 认领 引用 被引量：1
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作者 Yisha Lin Zongxiang Lu +1 位作者 Ying Qiao Ruijie Chen 《Global Energy Interconnection》 EI CSCD 2025年第1期106-120,共15页
Increasing interest has been directed toward the potential of heterogeneous flexible loads to mitigate the challenges associated with the increasing variability and uncertainty of renewable generation.Evaluating the a... Increasing interest has been directed toward the potential of heterogeneous flexible loads to mitigate the challenges associated with the increasing variability and uncertainty of renewable generation.Evaluating the aggregated flexible region of load clusters managed by load aggregators is the crucial basis of power system scheduling for the system operator.This is because the aggregation result affects the qual-ity of the scheduling schemes.A stringent computation based on the Minkowski sum is NP-hard,whereas existing approximation meth-ods that use a special type of polytope exhibit limited adaptability when aggregating heterogeneous loads.This study proposes a stringent internal approximation method based on the convex hull of multiple layers of maximum volume boxes and embeds it into a day-ahead scheduling optimization model.The numerical results indicate that the aggregation accuracy can be improved compared with methods based on one type of special polytope,including boxes,zonotopes,and homothets.Hence,the reliability and economy of the power sys-tem scheduling can be enhanced. 展开更多
关键词 Aggregation Flexible region Heterogeneous load Power system scheduling
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