检索结果-南通市图书馆

Science China Chemistry 2024年第9期67卷 2949-2957页

作者： Zhaojian Wang Wei Zhang Wenzhong huang Ruohan yu Changliang Chen Liqiang Mai Liang Zhou State Key Laboratory of Advanced Technology.f.r Materials Synthesis and Processing Wuhan University of TechnologyWuhan 430070China Sanya Science and Education Innovation Park Wuhan University of TechnologySanya 572000China Hubei Longzhong Laboratory Wuhan University of Technology(Xiangyang Demonstration Zone)Xiangyang 441000China

Most oxygen evolution reaction(OER)electrocatalysts show poor stability under industrial alkaline conditions(20–30 wt.%KOH).Therefore,it is essential to develop stable,efficient,and low-cost OER catalysts for industrial water ***,we present a straightforward approach for the complete electrochemical reconstruction of Ni-BDC,a Ni-based metal-organic framework,for *** method involves the continuous release of fe^(3+)from fe foam counter electrode in a high-concentration(6.0 M,25 wt.%)KOH *** continuously.f.^(3+)releasing not only realizes in situ fe^(3+)doping,but also introduces abundant defects in the obtained catalyst during cyclic voltammetry activation,thereby accelerating the electrochemical *** reconstructed OER catalyst(fe-doped nickel hydroxide/oxyhydroxide nanosheets supported on Ni foam,fe-NiO_(x)(OH)y/Nf)manifests a low overpotential of 217 mV at 10 mA cm^(-2)and 263 m V at 100 m A cm^(-2)in 1.0 M ***,the fe-NiO_(x)(OH)_(y)/Nf also demonstrates high stability in 30 wt.%*** strategy of regulating the electrochemical reconstruction process sheds light on the construction of stable and efficient OER catalysts for industrial water electrolysis.

关键词： oxygen evolution reaction industrial alkaline conditions metal-organic framework complete reconstruction

Realize ultralow-energy-consumption photo-synaptic device based on a single(Al,Ga)N nanowire for neuromorphic computing

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Nano Research 2024年第3期17卷 1933-1941页

作者： Xiushuo Gu Min Zhou yukun Zhao Qianyi Zhang Jianya Zhang yonglin huang Shulong Lu College of Electronic and Optical Engineering&College of flexible Electronics(future Technology) Nanjing University of Posts and TelecommunicationsNanjing 210023China Key Lab of Nanodevices and Applications Suzhou Institute of Nano-Tech and Nano-Bionics(SINANO)Chinese Academy of Sciences(CAS)Suzhou 215123China School of Nano-Tech and Nano-Bionics University of Science and Technology of ChinaHefei 230026China Jiangsu Key Laboratory of Micro and Nano Heat fluid flow Technology and Energy Application School of Physical Science and TechnologySuzhou University of Science and TechnologySuzhou 215009China

The rapid development of artificial intelligence poses an urgent need for low-energy-consumption and small-sized artificial photonic ***,it is pretty novel to demonstrate a light-stimulated synaptic device based on a single(Al,Ga)N nanowire *** to the presence of vacancy defects in the single nanowire,the artificial synaptic device can simulate multiple functions of biological synapses under stimulation of both 310 and 365 nm light photons,including paired-pulse facilitation,spike timing dependent plasticity,and memory learning *** energy consumption of artificial synaptic device can be reduced as little as 5.58×10^(-13) J,which is close to that of the biological synapse in human ***,the synaptic device is demonstrated to have the high stability.f.r both long-time stimulation and long-time *** on the experimental conductance of long-term potentiation and long-term depression,the simulated three-layer neural network can achieve a high recognition rate of 92%after only 10 training *** a brain-like behavior,the single-nanowire-based synaptic devices can promote the development of visual neuromorphic computing technology and artificial intelligence systems requiring ultralow energy consumption.

关键词： single(Al Ga)N nanowire light-stimulated synaptic device low-energy-consumption neural network

Enhanced thermal conductivity and mechanical properties of 2D C_(f)/SiC composites modified by in-situ grown carbon nanotubes

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Journal of Advanced Ceramics 2024年第1期13卷 19-33页

作者： Changhui Niu Qing Zhang Laifei Cheng fang ye Litong Zhang Min huang Tao yang Science and Technology on Thermostructure Composite Materials Laboratory Northwestern Polytechnical UniversityXi’an 710072China Civil Aviation Department Zhejiang Institute of CommunicationsHangzhou 311112China Zhejiang Provincial Key Laboratory.f.r Cutting Tools Taizhou UniversityTaizhou 318000China

In this work,the effects of carbon nanotubes(CNTs)on the microstructure evolution,thermal conductivity,and mechanical properties of C_(f)/SiC composites during chemical vapor infiltration(CVI)densification were investigated in *** with composites without CNTs,the thermal conductivity.f.exural strength,flexural modulus,fracture toughness,interfacial shear strength,and proportional limit stress of specimens with CNTs of 4.94 wt%were improved by 117%,21.8%,67.4%,10.3%,36.4%,and 71.1%,*** improvement was attributed to the role of CNTs in the division of inter-layer pores,which provided abundant vapor growth sites for the ceramic matrix and promoted densification of the whole *** addition,the high thermal conductivity network formed by the overlap of CNTs and the rivet strengthening effect of CNTs were beneficial for synergistic improvement of thermal conductivity and mechanical properties of the ***,this study has practical significance for the development of thermal protection composite components with enhanced thermal conductivity and mechanical characteristics.

关键词： ceramic−matrix composites carbon nanotubes microstructure thermal conductivity mechanical properties

Alterations in nasal microbiota of patients with amyotrophic lateral sclerosis

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Chinese Medical Journal 2024年第2期137卷 162-171页

作者： Kaixiong Liu Qifu Guo ying Ding Li Luo Jianchai huang Qijie Zhang Department of Respiratory and Critical Care Medicine The First Affiliated HospitalFujian Medical UniversityFuzhouFujian 350005China Department of Respiratory and Critical Care MedicineNational Regional Medical CenterBinhai Campus of The First Affiliated HospitalFujian Medical UniversityFuzhouFujian 350212China Department of Neurology Fujian Institute of NeurologyThe First Affiliated HospitalFujian Medical UniversityFuzhouFujian 350005China Department of NeurologyNational Regional Medical CenterBinhai Campus of The First Affiliated HospitalFujian Medical UniversityFuzhouFujian 350212China

Background:Links between alterations in gut microbiota composition and amyotrophic lateral sclerosis(ALS)have previously been *** study aimed to examine the microbiota in the nasal cavity of ***:Sixty-six ALS patients and 40 healthy caregivers who live in close proximity with patients were *** throughput metagenomic sequencing of the 16S ribosomal deoxyribonucleic acid(rDNA)gene V3-V4 region of nasal microbiota was used to characterize the alpha and beta diversity and relative abundance of bacterial taxa,predict function,and conduct correlation analysis between specific taxa and clinical ***:The nasal microbiome of ALS patients showed lower alpha diversity than that of corresponding healthy.f.mily *** Gaiella,Sphingomonas,Polaribacter_1,Lachnospiraceae_NK4A136_group,Klebsiella,and Alistipes were differentially enriched in ALS patients compared to *** microbiota composition in ALS patients significantly differed from that in healthy subjects(unweighted Unifrac P=0.001),while Linear discriminant analysis Effect Size(LEfSe)analysis indicated that Bacteroidetes and firmicutes dominated healthy nasal communities at the phylum level,whereas Actinobacteria was the predominant phylum and Thermoleophilia was the predominant class in ALS *** faecalibacterium and Alistipes were positively correlated with ALS functional rating scale revised(ALSfRS-R;r_(s)=0.349,P=0.020 and r_(s)=0.393,P=0.008),while Prevotella-9 and Bacteroides operational taxonomic units(OTUs)were positively associated with lung function(fVC)in ALS patients(r_(s)=0.304,P=0.045,and r_(s)=0.300,P=0.048,respectively).Prevotella-1 was positively correlated with white blood cell counts(WBC,r_(s)=0.347,P=0.021),neutrophil percentage(Neu%,r_(s)=0.428,P=0.004),and neutrophil-to-lymphocyte ratio(NLR,r_(s)=0.411,P=0.006),but negatively correlated with lymphocyte percentage(Lym%,r_(s)=-0.408,P=0.006).In contrast,Streptococcus was negatively associa

关键词： Amyotrophic lateral sclerosis Nasal microbiota Dysbiosis Inflammation

Sentiment Analysis Using E-Commerce Review Keyword-Generated Image with a Hybrid Machine Learning-Based Model

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Computers, Materials & Continua 2024年第7期80卷 1581-1599页

作者： Jiawen Li yuesheng huang yayi Lu Leijun Wang yongqi Ren Rongjun Chen School of Computer Science Guangdong Polytechnic Normal UniversityGuangzhou510665China Hubei Province Key Laboratory of Occupational Hazard Identification and Control Wuhan University of Science and TechnologyWuhan430065China

In the context of the accelerated pace of daily life and the development of e-commerce,online shopping is a mainstreamway.f.r consumers to access products and *** understand their emotional expressions in facing different shopping experience scenarios,this paper presents a sentiment analysis method that combines the ecommerce reviewkeyword-generated imagewith a hybrid machine learning-basedmodel,inwhich theWord2Vec-TextRank is used to extract keywords that act as the inputs for generating the related images by generative Artificial Intelligence(AI).Subsequently,a hybrid Convolutional Neural Network and Support Vector Machine(CNNSVM)model is applied for sentiment classification of those keyword-generated *** method validation,the data randomly comprised of 5000 reviews from Amazon have been *** superior keyword extraction capability,the proposedmethod achieves impressive results on sentiment classification with a remarkable accuracy of up to 97.13%.Such performance demonstrates its advantages by using the text-to-image approach,providing a unique perspective for sentiment analysis in the e-commerce review data compared to the existing ***,the proposed method enhances the reliability and insights of customer feedback surveys,which would also establish a novel direction in similar cases,such as social media monitoring and market trend research.

关键词： Sentiment analysis keyword-generated image machine learning Word2Vec-TextRank CNN-SVM

Source Camera Identification Algorithm Based on Multi-Scale feature fusion

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Computers, Materials & Continua 2024年第8期80卷 3047-3065页

作者： Jianfeng Lu Caijin Li Xiangye huang Chen Cui Mahmoud Emam School of Computer Science and Technology Hangzhou Dianzi UniversityHangzhou310018China Shangyu Institute of Science and Engineering Hangzhou Dianzi UniversityShaoxing312300China Key Laboratory of Public Security Information Application Based on Big-Data Architecture Ministry of Public SecurityZhejiang Police CollegeHangzhou310000China faculty of Artificial Intelligence Menoufia UniversityShebin El-Koom32511Egypt

The widespread availability of digital multimedia data has led to a new challenge in digital *** source camera identification algorithms usually rely on various traces in the capturing ***,these traces have become increasingly difficult to extract due to wide availability of various image processing *** Neural Networks(CNN)-based algorithms have demonstrated good discriminative capabilities for different brands and even different models of camera ***,their performances is not ideal in case of distinguishing between individual devices of the same model,because cameras of the same model typically use the same optical lens,image sensor,and image processing algorithms,that result in minimal overall *** this paper,we propose a camera forensics algorithm based on multi-scale feature fusion to address these *** proposed algorithm extracts different local features from feature maps of different scales and then fuses them to obtain a comprehensive feature *** representation is then fed into a subsequent camera fingerprint classification *** upon the Swin-T network,we utilize Transformer Blocks and Graph Convolutional Network(GCN)modules to fuse multi-scale features from different stages of the backbone ***,we conduct experiments on established datasets to demonstrate the feasibility and effectiveness of the proposed approach.

关键词： Source camera identification camera forensics convolutional neural network feature fusion transformer block graph convolutional network

Dynamically Securing the Data by^(1)O_(2)Sensitization of fluorescent Composites with a High Latency and Uncrackable features

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Chinese Journal of Chemistry 2024年第14期42卷 1651-1658页

作者： yuanyuan Chen Jiamao Chen Huacan Wu y.f.n Liu Donghui Wang Weiguo huang College of Chemistry and Materials Science Fujian Normal UniversityFuzhouFujian350002 China State Key Laboratory of Structural Chemistry Fujian Institute of Research on the Structure of MatterChinese Academy of Sciences155 Yangqiao West RoadFuzhouFujian350002 China University of Chinese Academy of Sciences 19A Yuquan RoadBeijing100049 China

Dynamic fluorescent materials play a crucial role in secure inks for data encryption;however,they are still plagued by issues such as photodegradation,poor latency,and susceptibility to unauthorized ***,we propose a photochemically modulated dynamic fluorescent encryption system based on^(1)O_(2)sensitization of fluorescent composites,comprising a^(1)O_(2)-sensitive fluorophore(f2)and non-emissive *** UV irradiation,in-situ generated^(1)O_(2)from the polymer effectively binds with f2 to form endoperoxides(f2EPO),resulting in a significant redshift in emission,up to 150 ***^(1)O_(2)concentration is closely related to the irradiation time,rendering different fluorescent colors in a time-gated ***,the emission of f2EPO can be regulated by polymer chemical structure,molecular weight,and crosslinking *** on these merits,we develop a dynamic data encryption method with various non-emissive polymers as the data storage media,UV light irradiation as the data encoder,and f2 as the data *** light irradiation of diverse polymer solutions generates^(1)O_(2)at different concentrations,effectively encoding the data,which remains invisible under both UV and natural *** addition of f2 to these irradiated polymer solutions produces different redshifted fluorescence,enabling secure data *** to the non-emissive nature of the polymers,time-gated readout fashion,excellent latency of^(1)O_(2),and subtle interactions between^(1)O_(2)and f2,this data encryption is nearly *** work offers an advantage data encryption approach beyond the reach of conventional fluorophores.

关键词： Dynamic fluorescent materials Photochemically modulation ^(1)O_(2)-sensitive fluorophore High latency Data encryption fluorescence Photochemistry Singlet oxygen

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勒拿河流域

全球变化数据学报（中英文） 2017年第2期1卷 243-243,262页

作者：黄跃飞李铁键郑裕彤林昌杰谢帅刘闯石瑞香清华大学水沙科学与水利水电工程国家重点实验室北京100084 中国科学院地理科学与资源研究所北京100101

勒拿河(英文:Lena;俄文:лена)流域是指勒拿河与基陵加河(Kirenga River)、维季姆河(Vitim River)、奥廖克马河(Olyokma River)、阿尔丹河(Aldan River)、维柳伊河(Vilyuy River)等支流的汇水区域。它位于俄罗斯西伯利亚地区,叶尼塞... 详细信息

勒拿河(英文:Lena;俄文:лена)流域是指勒拿河与基陵加河(Kirenga River)、维季姆河(Vitim River)、奥廖克马河(Olyokma River)、阿尔丹河(Aldan River)、维柳伊河(Vilyuy River)等支流的汇水区域。它位于俄罗斯西伯利亚地区,叶尼塞河流域以东。

关键词：勒拿河流域界线俄罗斯数据大百科

Revealing excited states of rotational Bose-Einstein condensates

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The Innovation 2024年第1期5卷 41-48页

作者： Jianyuan yin Zhen huang yongyong Cai Qiang Du Lei Zhang School of Mathematical Sciences Laboratory of Mathematics and Applied MathematicsPeking UniversityBeijing 100871China Department of Mathematics National University of SingaporeSingapore 119076Singapore Department of Mathematics University of CaliforniaBerkeleyBerkeleyCA 94720USA School of Mathematical Sciences Beijing Normal UniversityBeijing 100875China Department of Applied Physics and Applied Mathematics and Data Science Institute Columbia UniversityNew YorkNY 10027USA Beijing International Center for Mathematical Research Center for Quantitative BiologyCenter for Machine Learning ResearchPeking UniversityBeijing 100871China

Rotational Bose-Einstein condensates can exhibit quantized vortices as topological *** this study,the ground and excited states of the rotational Bose-Einstein condensates are systematically studied by calculating the stationary points of the Gross-Pitaevskii energy *** excited states and their connections at different rotational frequencies are revealed in solution landscapes constructed with the constrained high-index saddle dynamics *** excitation mechanisms are identified:vortex addition,rearrangement,merging,and *** demonstrate changes in the ground state with increasing rotational frequencies and decipher the evolution of the stability of ground states.

关键词： method rotational excited

Pre-training transformer with dual-branch context content module for table detection in document images

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虚拟现实与智能硬件 2024年第5期6卷 408-420页

作者： yongzhi LI Pengle ZHANG Meng SUN Jin huang Ruhan HE School of Computer Science and Artificial Intelligence Wuhan Textile University Wuhan China 430064 School of Computer Science South-Central Minzu University Wuhan China 430064 Hubei Provincial Engineering Research Center for Intelligent Textile and fashion Wuhan Textile University Wuhan China 430064

BackgroundDocument images such as statistical reports and scientific journals are widely used in information technology. Accurate detection of table areas in document images is an essential prerequisite for tasks such as information extraction. However, because of the diversity in the shapes and sizes of tables, existing table detection methods adapted from general object detection algorithms, have not yet achieved satisfactory results. Incorrect detection results might lead to the loss of critical information. MethodsTherefore, we propose a novel end-to-end trainable deep network combined with a self-supervised pretraining transformer for feature extraction to minimize incorrect detections. To better deal with table areas of different shapes and sizes, we added a dual-branch context content attention module (DCCAM) to high-dimensional features to extract context content information, thereby enhancing the network's ability to learn shape features. for feature fusion at different scales, we replaced the original 3×3 convolution with a multilayer residual module, which contains enhanced gradient flow information to improve the feature representation and extraction capability. ResultsWe evaluated our method on public document datasets and compared it with previous methods, which achieved state-of-the-art results in terms of evaluation metrics such as recall and f1-score. https://***/yongZ-Lee/TD-DCCAM

关键词： Table detection Document image analysis Transformer Dilated convolution Deformable convolution feature fusion