Polyurethane elastomers exhibit high dielectric constants owing to their polar groups,and can be used as energy storage capacitors.Energy storage depends not only on the dielectric constant but also on the dielectric ...Polyurethane elastomers exhibit high dielectric constants owing to their polar groups,and can be used as energy storage capacitors.Energy storage depends not only on the dielectric constant but also on the dielectric loss.However,the relationship between chain structure and dielectric properties is not yet clear.Ketal-containing crosslinked polyurethane elastomers were prepared using cyclic ketal diol as a chain extender.The effect of the soft segment length on the dielectric properties and energy storage was investigated.The cause of the change in the dipolar polarization with the soft segment length was analyzed.As the soft segment length increased,the hard-soft hydrogen bonding decreased,whereas the hard-hard hydrogen bonding increased.Under the action of an electric field,the polar bonds in the ketal-containing polyurethane elastomer overcome the hydrogen bonding between hard-soft segments to produce polarization;meanwhile,they also experience crankshaft motions to generate polarization.The former has a relatively high relaxation activation energy of approximately 10-20 k J·mol^(-1),resulting in a large dielectric loss.The latter has a relatively low relaxation activation energy,approximately 0.7-1.7 kJ·mol^(-1),leading to low dielectric loss.As a result,the dielectric constant showed a decreasing trend,and the dielectric loss gradually decreased.This study provides a theoretical foundation for improving the dielectric properties of polyurethane elastomers.展开更多
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
Abuse of chloramphenicol(CAP)could cause serious side effects to human health.Therefore,it is necessary to detect CAP residues in animal sourced food effectively.Here,the superiority(better stability,higher Apt-CAP lo...Abuse of chloramphenicol(CAP)could cause serious side effects to human health.Therefore,it is necessary to detect CAP residues in animal sourced food effectively.Here,the superiority(better stability,higher Apt-CAP loading efficiency,and higher CAP binding associated conformational change,etc.)of tetrahedral structure to double-chained structure for developing aptasensor was evaluated.Then,a self-assembled DNA tetrahedral structure-based electrochemical aptasensor targeting CAP was developed.Under the optimized conditions,the aptasensor exhibited high sensitivity toward CAP with a limit of detection(LOD)of 0.0676 ng/m L(linear range 0.19-387.76 ng/m L),and high selectivity against the structural analogs of CAP.Moreover,the recovery rate of CAP from spiked milk samples ranged from 100.57%to 101.69%,and only USD 1.34 is needed for detecting CAP in 1 sample.These results suggested the application potential of this aptasesor for detecting CAP in animal sourced foods.展开更多
Arrhythmias are a frequently occurring phenomenon in clinical practice,but how to accurately dis-tinguish subtle rhythm abnormalities remains an ongoing difficulty faced by the entire research community when conductin...Arrhythmias are a frequently occurring phenomenon in clinical practice,but how to accurately dis-tinguish subtle rhythm abnormalities remains an ongoing difficulty faced by the entire research community when conducting ECG-based studies.From a review of existing studies,two main factors appear to contribute to this problem:the uneven distribution of arrhythmia classes and the limited expressiveness of features learned by current models.To overcome these limitations,this study proposes a dual-path multimodal framework,termed DM-EHC(Dual-Path Multimodal ECG Heartbeat Classifier),for ECG-based heartbeat classification.The proposed framework links 1D ECG temporal features with 2D time–frequency features.By setting up the dual paths described above,the model can process more dimensions of feature information.The MIT-BIH arrhythmia database was selected as the baseline dataset for the experiments.Experimental results show that the proposed method outperforms single modalities and performs better for certain specific types of arrhythmias.The model achieved mean precision,recall,and F1 score of 95.14%,92.26%,and 93.65%,respectively.These results indicate that the framework is robust and has potential value in automated arrhythmia classification.展开更多
Tunable plasmonic structures provide the possibility to actively modify the radiation from atoms through electromagnetic coupling.In this paper,we investigate the decay and radiation behavior of an atom near a dielect...Tunable plasmonic structures provide the possibility to actively modify the radiation from atoms through electromagnetic coupling.In this paper,we investigate the decay and radiation behavior of an atom near a dielectric nanosphere with conductive surface within the framework of macroscopic quantum electrodynamics.The electromagnetic fields including the losses in the materials can be taken as fundamental excitations which interact with the atom through a transition dipole.Both weak and strong coupling regimes have been investigated.The decay rate and the angle-dependent light intensities indeed strongly depend on the parameters of the system,i.e.,the position and orientation of the dipole,the geometric size,and the surface conductivity,providing the opportunity of artificial control over these quantities.Generalizing the formalism in this paper to other systems,like metamaterials,is straightforward,which we believe may pave a way for future active quantum nanophotonic devices.展开更多
Objective:To explore the medication rule of Professor Ba Yuanming in the treatment of chronic glonerulonephritis by data mining technology,so as to provide certain reference for clinical and scientific research in the...Objective:To explore the medication rule of Professor Ba Yuanming in the treatment of chronic glonerulonephritis by data mining technology,so as to provide certain reference for clinical and scientific research in the treatment of Chronic glonerulonephritis with traditional Chinese medicine.Methods:collect,sort out and screen the cases of chronic nephritis diagnosed and treated by Professor Ba Yuanming in the outpatient department of Hubei Hospital of traditional Chinese medicine from 2018 to 2019,establish the database on the cloud platform of ancient and modern medical cases(v2.2.1),and use frequency statistics,association rules,hierarchical clustering and other analysis methods to study and analyze the drugs used.Results:1630 cases were included in the prescription,involving 212 traditional Chinese medicines.The high-frequency drugs are Poria cocos,astragalus,dangshen,yam,Chuanshanlong,Cornus,distracted wood,etc;the drugs are mainly warm,cold and calm;the five tastes are sweet and light,spicy and bitter;the meridian tropism is mostly found in the kidney,lung and spleen channels;the effects are calming the mind and the nerves,strengthening the spleen and stomach,promoting water and swelling,etc.The core Chinese medicine combinations of Astragalus and poria were obtained.Conclusion:Professor Ba Yuanming pays attention to comprehensive consideration,attack and supplement in the treatment of CGN,pays attention to the care of the healthy qi of Sanjiao,at the same time clearing away heat and dampness,removing blood stasis and firmness,and is good at using the sweet and gentle products.展开更多
Developing effective strategies to regulate graphene’s conduction loss and polarization has become a key to expanding its application in the electromagnetic wave absorption(EMWA)field.Based on the unique energy band ...Developing effective strategies to regulate graphene’s conduction loss and polarization has become a key to expanding its application in the electromagnetic wave absorption(EMWA)field.Based on the unique energy band structure of graphene,regulating its bandgap and electrical properties by introducing heteroatoms is considered a feasible solution.Herein,metal-nitrogen doping reduced graphene oxide(M–N-RGO)was prepared by embedding a series of single metal atoms M–N_(4) sites(M=Mn,Fe,Co,Ni,Cu,Zn,Nb,Cd,and Sn)in RGO using an N-coordination atom-assisted strategy.These composites had adjustable conductivity and polarization to optimize dielectric loss and impedance matching for efficient EMWA performance.The results showed that the minimum reflection loss(RL_(min))of Fe–N-RGO reaches−74.05 dB(2.0 mm)and the maximum effective absorption bandwidth(EAB_(max))is 7.05 GHz(1.89 mm)even with a low filler loading of only 1 wt%.Combined with X-ray absorption spectra(XAFS),atomic force microscopy,and density functional theory calculation analysis,the Fe–N_(4) can be used as the polarization center to increase dipole polarization,interface polarization and defect-induced polarization due to d-p orbital hybridization and structural distortion.Moreover,electron migration within the Fe further leads to conduction loss,thereby synergistically promoting energy attenuation.This study demonstrates the effectiveness of metal-nitrogen doping in regulating the graphene′s dielectric properties,which provides an important basis for further investigation of the loss mechanism.展开更多
Two-dimensional endoscopic images are susceptible to interferences such as specular reflections and monotonous texture illumination,hindering accurate three-dimensional lesion reconstruction by surgical robots.This st...Two-dimensional endoscopic images are susceptible to interferences such as specular reflections and monotonous texture illumination,hindering accurate three-dimensional lesion reconstruction by surgical robots.This study proposes a novel end-to-end disparity estimation model to address these challenges.Our approach combines a Pseudo-Siamese neural network architecture with pyramid dilated convolutions,integrating multi-scale image information to enhance robustness against lighting interferences.This study introduces a Pseudo-Siamese structure-based disparity regression model that simplifies left-right image comparison,improving accuracy and efficiency.The model was evaluated using a dataset of stereo endoscopic videos captured by the Da Vinci surgical robot,comprising simulated silicone heart sequences and real heart video data.Experimental results demonstrate significant improvement in the network’s resistance to lighting interference without substantially increasing parameters.Moreover,the model exhibited faster convergence during training,contributing to overall performance enhancement.This study advances endoscopic image processing accuracy and has potential implications for surgical robot applications in complex environments.展开更多
基金financially supported by the Hubei Key Laboratory of Pollutant Analysis&Reuse Technology(No.PA230102)。
文摘Polyurethane elastomers exhibit high dielectric constants owing to their polar groups,and can be used as energy storage capacitors.Energy storage depends not only on the dielectric constant but also on the dielectric loss.However,the relationship between chain structure and dielectric properties is not yet clear.Ketal-containing crosslinked polyurethane elastomers were prepared using cyclic ketal diol as a chain extender.The effect of the soft segment length on the dielectric properties and energy storage was investigated.The cause of the change in the dipolar polarization with the soft segment length was analyzed.As the soft segment length increased,the hard-soft hydrogen bonding decreased,whereas the hard-hard hydrogen bonding increased.Under the action of an electric field,the polar bonds in the ketal-containing polyurethane elastomer overcome the hydrogen bonding between hard-soft segments to produce polarization;meanwhile,they also experience crankshaft motions to generate polarization.The former has a relatively high relaxation activation energy of approximately 10-20 k J·mol^(-1),resulting in a large dielectric loss.The latter has a relatively low relaxation activation energy,approximately 0.7-1.7 kJ·mol^(-1),leading to low dielectric loss.As a result,the dielectric constant showed a decreasing trend,and the dielectric loss gradually decreased.This study provides a theoretical foundation for improving the dielectric properties of polyurethane elastomers.
基金Support by Sichuan Science and Technology Program[2023YFSY0026,2023YFH0004]Guangzhou Huashang University[2024HSZD01,HS2023JYSZH01].
文摘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.
基金supported by the National Nature Science Foundation of China(82174531)the Medicine and Health Science Technology Development Project of Shandong Province,China(202212060626).
文摘Abuse of chloramphenicol(CAP)could cause serious side effects to human health.Therefore,it is necessary to detect CAP residues in animal sourced food effectively.Here,the superiority(better stability,higher Apt-CAP loading efficiency,and higher CAP binding associated conformational change,etc.)of tetrahedral structure to double-chained structure for developing aptasensor was evaluated.Then,a self-assembled DNA tetrahedral structure-based electrochemical aptasensor targeting CAP was developed.Under the optimized conditions,the aptasensor exhibited high sensitivity toward CAP with a limit of detection(LOD)of 0.0676 ng/m L(linear range 0.19-387.76 ng/m L),and high selectivity against the structural analogs of CAP.Moreover,the recovery rate of CAP from spiked milk samples ranged from 100.57%to 101.69%,and only USD 1.34 is needed for detecting CAP in 1 sample.These results suggested the application potential of this aptasesor for detecting CAP in animal sourced foods.
基金supported by the Innovative Human Resource Development for Local Intel-lectualization program through the Institute of Information&Communications Technology Planning&Evaluation(IITP)grant funded by the Korea government(MSIT)(No.IITP-2026-2020-0-01741)the research fund of Hanyang University(HY-2025-1110).
文摘Arrhythmias are a frequently occurring phenomenon in clinical practice,but how to accurately dis-tinguish subtle rhythm abnormalities remains an ongoing difficulty faced by the entire research community when conducting ECG-based studies.From a review of existing studies,two main factors appear to contribute to this problem:the uneven distribution of arrhythmia classes and the limited expressiveness of features learned by current models.To overcome these limitations,this study proposes a dual-path multimodal framework,termed DM-EHC(Dual-Path Multimodal ECG Heartbeat Classifier),for ECG-based heartbeat classification.The proposed framework links 1D ECG temporal features with 2D time–frequency features.By setting up the dual paths described above,the model can process more dimensions of feature information.The MIT-BIH arrhythmia database was selected as the baseline dataset for the experiments.Experimental results show that the proposed method outperforms single modalities and performs better for certain specific types of arrhythmias.The model achieved mean precision,recall,and F1 score of 95.14%,92.26%,and 93.65%,respectively.These results indicate that the framework is robust and has potential value in automated arrhythmia classification.
基金supported by Hangzhou Dianzi University(Grant No.KYS075621018)supported by the Natural Science Foundation of Zhejiang Province(Grant No.LY24A050004)。
文摘Tunable plasmonic structures provide the possibility to actively modify the radiation from atoms through electromagnetic coupling.In this paper,we investigate the decay and radiation behavior of an atom near a dielectric nanosphere with conductive surface within the framework of macroscopic quantum electrodynamics.The electromagnetic fields including the losses in the materials can be taken as fundamental excitations which interact with the atom through a transition dipole.Both weak and strong coupling regimes have been investigated.The decay rate and the angle-dependent light intensities indeed strongly depend on the parameters of the system,i.e.,the position and orientation of the dipole,the geometric size,and the surface conductivity,providing the opportunity of artificial control over these quantities.Generalizing the formalism in this paper to other systems,like metamaterials,is straightforward,which we believe may pave a way for future active quantum nanophotonic devices.
基金The third project of famous TCM masters in Hubei Province(No.[2018]15)Chinese medicine studio of Bayuanming in Hubei Province(No.[2019]18)The Sixth Batch of national old Chinese medicine experts'academic experience inheritance Guidance Teacher Project(No.[2017]29)。
文摘Objective:To explore the medication rule of Professor Ba Yuanming in the treatment of chronic glonerulonephritis by data mining technology,so as to provide certain reference for clinical and scientific research in the treatment of Chronic glonerulonephritis with traditional Chinese medicine.Methods:collect,sort out and screen the cases of chronic nephritis diagnosed and treated by Professor Ba Yuanming in the outpatient department of Hubei Hospital of traditional Chinese medicine from 2018 to 2019,establish the database on the cloud platform of ancient and modern medical cases(v2.2.1),and use frequency statistics,association rules,hierarchical clustering and other analysis methods to study and analyze the drugs used.Results:1630 cases were included in the prescription,involving 212 traditional Chinese medicines.The high-frequency drugs are Poria cocos,astragalus,dangshen,yam,Chuanshanlong,Cornus,distracted wood,etc;the drugs are mainly warm,cold and calm;the five tastes are sweet and light,spicy and bitter;the meridian tropism is mostly found in the kidney,lung and spleen channels;the effects are calming the mind and the nerves,strengthening the spleen and stomach,promoting water and swelling,etc.The core Chinese medicine combinations of Astragalus and poria were obtained.Conclusion:Professor Ba Yuanming pays attention to comprehensive consideration,attack and supplement in the treatment of CGN,pays attention to the care of the healthy qi of Sanjiao,at the same time clearing away heat and dampness,removing blood stasis and firmness,and is good at using the sweet and gentle products.
基金supported by National Natural Science Foundation of China(NSFC 52432002,52372041,52302087)Heilongjiang Touyan Team Program,the Fundamental Research Funds for the Central Universities(Grant No.HIT.OCEF.2021003)the Shanghai Aerospace Science and Technology Innovation Fund(SAST2022-60).
文摘Developing effective strategies to regulate graphene’s conduction loss and polarization has become a key to expanding its application in the electromagnetic wave absorption(EMWA)field.Based on the unique energy band structure of graphene,regulating its bandgap and electrical properties by introducing heteroatoms is considered a feasible solution.Herein,metal-nitrogen doping reduced graphene oxide(M–N-RGO)was prepared by embedding a series of single metal atoms M–N_(4) sites(M=Mn,Fe,Co,Ni,Cu,Zn,Nb,Cd,and Sn)in RGO using an N-coordination atom-assisted strategy.These composites had adjustable conductivity and polarization to optimize dielectric loss and impedance matching for efficient EMWA performance.The results showed that the minimum reflection loss(RL_(min))of Fe–N-RGO reaches−74.05 dB(2.0 mm)and the maximum effective absorption bandwidth(EAB_(max))is 7.05 GHz(1.89 mm)even with a low filler loading of only 1 wt%.Combined with X-ray absorption spectra(XAFS),atomic force microscopy,and density functional theory calculation analysis,the Fe–N_(4) can be used as the polarization center to increase dipole polarization,interface polarization and defect-induced polarization due to d-p orbital hybridization and structural distortion.Moreover,electron migration within the Fe further leads to conduction loss,thereby synergistically promoting energy attenuation.This study demonstrates the effectiveness of metal-nitrogen doping in regulating the graphene′s dielectric properties,which provides an important basis for further investigation of the loss mechanism.
基金Supported by Sichuan Science and Technology Program(2023YFSY0026,2023YFH0004)Supported by the Institute of Information&Communications Technology Planning&Evaluation(IITP)grant funded by the Korean government(MSIT)(No.RS-2022-00155885,Artificial Intelligence Convergence Innovation Human Resources Development(Hanyang University ERICA)).
文摘Two-dimensional endoscopic images are susceptible to interferences such as specular reflections and monotonous texture illumination,hindering accurate three-dimensional lesion reconstruction by surgical robots.This study proposes a novel end-to-end disparity estimation model to address these challenges.Our approach combines a Pseudo-Siamese neural network architecture with pyramid dilated convolutions,integrating multi-scale image information to enhance robustness against lighting interferences.This study introduces a Pseudo-Siamese structure-based disparity regression model that simplifies left-right image comparison,improving accuracy and efficiency.The model was evaluated using a dataset of stereo endoscopic videos captured by the Da Vinci surgical robot,comprising simulated silicone heart sequences and real heart video data.Experimental results demonstrate significant improvement in the network’s resistance to lighting interference without substantially increasing parameters.Moreover,the model exhibited faster convergence during training,contributing to overall performance enhancement.This study advances endoscopic image processing accuracy and has potential implications for surgical robot applications in complex environments.
