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SPEAKING模型下滦州古城语言景观研究

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通化师范学院学报 2024年第3期45卷 47-52页

作者：靳亚铭孟鑫蕊河南工业大学河南郑州450001 河南工业大学外语学院河南郑州450001

该文对唐山市滦州古城的语言景观现象进行定量、定性分析,以SPEAKING模型为切入点,重点关注语言语码以及语言景观参与者和文本的互动关系,从多角度对古城景区的标牌语言进行深入剖析。研究结论显示滦州古城的语言景观呈现出国际化、多... 详细信息

该文对唐山市滦州古城的语言景观现象进行定量、定性分析,以SPEAKING模型为切入点,重点关注语言语码以及语言景观参与者和文本的互动关系,从多角度对古城景区的标牌语言进行深入剖析。研究结论显示滦州古城的语言景观呈现出国际化、多元化趋势,且“作者”“读者”与文本的互动关系明显。该研究系统总结了滦州古城语言景观使用的优势及不足,以期为景区的国际化改进和国家及地区语言政策的调整提供参考意见。

关键词：语言景观滦州古城 SPEAKING模型语码

Dynamics and manipulation of ferroelectric domain walls in bismuth ferrite thin films

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National Science Review 2020年第2期7卷 278-284页

作者： Shuyu Xiao yaming jin Xiaomei Lu Sang-Wook Cheong Jiangyu Li Yang Li Fengzhen Huang jinsong Zhu National Laboratory of Solid State Microstructures and Physics School Nanjing University Collaborative Innovation Center of Advanced Microstructures Nanjing University Rutgers Center for Emergent Materials and Department of Physics and Astronomy Rutgers University Shenzhen Key Laboratory of Nanobiomechanics Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Department of Mechanical Engineering University of Washington

Ferroelectric domain walls differ from domains not only in their crystalline and discrete symmetry, but also in their electronic, magnetic, and mechanical properties. Although domain walls provide a degree of freedom to regulate the physical properties at the nanoscale, the relatively lower controllability prevents their practical applications in nano-devices. In this work, with the advantages of 3D domain configuration detection based on piezoresponse force microscopy, we find that the mobility of three types of domain walls(tail-to-tail, head-to-tail, head-to-head) in(001) BiFeO3films varies with the applied electrical field. Under low voltages, head-to-tail domain walls are more mobile than other domain walls, while, under high voltages, tail-to-tail domain walls become rather active and possess relatively long average lengths. This is due to the high nucleation energy and relatively low growth energy for charged domain walls. Finally, we demonstrate the manipulation of domain walls through successive electric writings, resulting in well-aligned conduction paths as designed, paving the way for their application in advanced spintronic, memory and communication nano-devices.

关键词： domain wall ferroelectric thin film piezoresponse force microscopy dynamics

Indirubin alleviates retinal neurodegeneration through the regulation of PI3K/AKT signaling

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Journal of Biomedical Research 2024年第3期38卷 256-268页

作者： Huan Li Huiying Zhang Lushu Chen yaming Shen Yuan Cao Xiumiao Li jin Yao Department of Ophthalmology the Affiliated Eye Hospital of Nanjing Medical UniversityNanjingJiangsu 210029China Department of Ophthalmology the Fourth School of Clinical MedicineNanjing Medical UniversityNanjingJiangsu 210029China

Retinal neurodegenerative disease is a leading cause of blindness among the elderly in developed countries,including glaucoma,diabetic retinopathy,traumatic optic neuropathy and optic neuritis,*** current clinical treatment is not very *** investigated indirubin,one of the main bioactive components of the traditional Chinese medicine Danggui Longhui Pill,in the present study for its role in retinal *** exhibited no detectable tissue toxicity in vivo or cytotoxicity in ***,indirubin improved visual function and ameliorated retinal neurodegeneration in mice after optic nerve crush injury in ***,indirubin reduced the apoptosis of retinal ganglion cells induced by oxidative stress in *** addition,indirubin significantly suppressed the increased production of intracellular reactive oxygen species and the decreased activity of superoxide dismutase induced by oxidative ***,indirubin played a neuroprotective role by regulating the PI3K/AKT/BAD/BCL-2 *** conclusion,indirubin protected retinal ganglion cells from oxidative damage and alleviated retinal neurodegeneration induced by optic nerve crush *** present study provides a potential therapeutic medicine for retinal neurodegenerative diseases.

关键词： retinal neurodegenerative disease oxidative stress PI3K/AKT retinal ganglion cell apoptosis

Hyperspectral Image Based Interpretable Feature Clustering Algorithm

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Computers, Materials & Continua 2024年第5期79卷 2151-2168页

作者： yaming Kang PeishunYe Yuxiu Bai Shi Qiu School of Information Engineering Yulin UniversityYulin719000China Key Laboratory of Spectral Imaging Technology CAS Xi’an Institute of Optics and Precision MechanicsChinese Academy of SciencesXi’an710119China

Hyperspectral imagery encompasses spectral and spatial dimensions,reflecting the material properties of *** application proves crucial in search and rescue,concealed target identification,and crop growth *** is an important method of hyperspectral *** vast data volume of hyperspectral imagery,coupled with redundant information,poses significant challenges in swiftly and accurately extracting features for subsequent *** current hyperspectral feature clustering methods,which are mostly studied from space or spectrum,do not have strong interpretability,resulting in poor comprehensibility of the ***,this research introduces a feature clustering algorithm for hyperspectral imagery from an interpretability *** commences with a simulated perception process,proposing an interpretable band selection algorithm to reduce data *** this,amulti-dimensional clustering algorithm,rooted in fuzzy and kernel clustering,is developed to highlight intra-class similarities and inter-class *** optimized P systemis then introduced to enhance computational *** system coordinates all cells within a mapping space to compute optimal cluster centers,facilitating parallel *** approach diminishes sensitivity to initial cluster centers and augments global search capabilities,thus preventing entrapment in local minima and enhancing clustering *** conducted on 300 datasets,comprising both real and simulated *** results show that the average accuracy(ACC)of the proposed algorithm is 0.86 and the combination measure(CM)is 0.81.

关键词： Hyperspectral fuzzy clustering tissue P system band selection interpretable

ST-LaneNet: Lane Line Detection Method Based on Swin Transformer and LaneNet

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Chinese Journal of Mechanical Engineering 2024年第1期37卷 130-145页

作者： Yufeng Du Rongyun Zhang Peicheng Shi Linfeng Zhao Bin Zhang yaming Liu School of Mechanical Engineering Anhui Polytechnic UniversityWuhu 241000China Automotive New Technology Anhui Engineering and Technology Research Center Anhui Polytechnic UniversityWuhu 241000China School of Automotive and Transportation Engineering Hefei University of TechnologyHefei 230009China

The advancement of autonomous driving heavily relies on the ability to accurate lane lines *** deep learning and computer vision technologies evolve,a variety of deep learning-based methods for lane line detection have been proposed by researchers in the ***,owing to the simple appearance of lane lines and the lack of distinctive features,it is easy for other objects with similar local appearances to interfere with the process of detecting lane *** precision of lane line detection is limited by the unpredictable quantity and diversity of lane *** address the aforementioned challenges,we propose a novel deep learning approach for lane line *** method leverages the Swin Transformer in conjunction with LaneNet(called ST-LaneNet).The experience results showed that the true positive detection rate can reach 97.53%for easy lanes and 96.83%for difficult lanes(such as scenes with severe occlusion and extreme lighting conditions),which can better accomplish the objective of detecting lane *** 1000 detection samples,the average detection accuracy can reach 97.83%,the average inference time per image can reach 17.8 ms,and the average number of frames per second can reach 64.8 *** programming scripts and associated models for this project can be accessed openly at the following GitHub repository:https://***/Duane 711/Lane-line-detec tion-ST-LaneNet.

关键词： Autonomous driving Lane line detection Deep learning Swin transformer

Underwater Image Classification Based on EfficientnetB0 and Two-Hidden-Layer Random Vector Functional Link

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Journal of Ocean University of China 2024年第2期23卷 392-404页

作者： ZHOU Zhiyu LIU Mingxuan JI Haodong WANG yaming ZHU Zefei School of Information Science and Technology Zhejiang Sci-Tech UniversityHangzhou 310018China Zhejiang Key Laboratory of DDIMCCP Lishui UniversityLishui 323000China School of Mechanical Engineering Hangzhou Dianzi UniversityHangzhou 310018China

The ocean plays an important role in maintaining the equilibrium of Earth’s ecology and providing humans access to a wealth of *** obtain a high-precision underwater image classification model,we propose a classification model that combines an EfficientnetB0 neural network and a two-hidden-layer random vector functional link network(EfficientnetB0-TRVFL).The features of underwater images were extracted using the EfficientnetB0 neural network pretrained via ImageNet,and a new fully connected layer was trained on the underwater image dataset using the transfer learning *** learning ensures the initial performance of the network and helps in the development of a high-precision classification ***,a TRVFL was proposed to improve the classification property of the *** construction of the two hidden layers exhibited a high accuracy when the same hidden layer nodes were *** parameters of the second hidden layer were obtained using a novel calculation method,which reduced the outcome error to improve the performance instability caused by the random generation of parameters of ***,the TRVFL classifier was used to classify features and obtain classification *** proposed EfficientnetB0-TRVFL classification model achieved 87.28%,74.06%,and 99.59%accuracy on the MLC2008,MLC2009,and Fish-gres datasets,*** best convolutional neural networks and existing methods were stacked up through box plots and Kolmogorov-Smirnov tests,*** increases imply improved systematization properties in underwater image classification *** image classification model offers important performance advantages and better stability compared with existing methods.

关键词： underwater image classification EfficientnetB0 random vector functional link convolutional neural network

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空调设备自动检测计算机专家控制系统

仪器仪表学报 2006年第10期27卷 1354-1357页

作者：靳亚铭刘振娟李宏光北京化工大学信息科学与技术学院北京100029

本文设计了一种空调设备自动检测计算机专家控制系统,它采用计算机分散控制结构,在上位机监控组态系统中嵌入了基于面向对象VB编程的专家控制器。专家控制器基于知识基结构的黑板求解模型,能够实现空调设备检测过程的全自动监测与控制... 详细信息

本文设计了一种空调设备自动检测计算机专家控制系统,它采用计算机分散控制结构,在上位机监控组态系统中嵌入了基于面向对象VB编程的专家控制器。专家控制器基于知识基结构的黑板求解模型,能够实现空调设备检测过程的全自动监测与控制。系统现场运行表明,它比传统测控系统具有更高的可靠性,并且价格低廉、易于操作,提高了空调设备检测的自动化水平和安全操作性能。

关键词：空调检测计算机控制专家控制器知识基结构

Ganoderma Lucidum Spore Oil enhances the effect of cyclophosphamide via inhibiting programmed death-1 and prolongs the survival of H22 tumor-bearing mice

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Journal of Traditional Chinese Medicine 2024年第4期44卷 652-659页

作者： JIANG Zhaojian CAI Hongfei YUAN Cheng CAO Lin XU Wendong HAN yaming ZHANG Qin LI jing WANG Qin LIU Juyan Guangzhou HanFang Pharmaceutical Company Limited National Engineering Research Center of Pharmaceutical Processing Technology of Traditional Chinese Medicine and Drug InnovationGuangdong Provincial Key Laboratory of Medicinal LipidsGuangzhou 510240China Zhongshan Medical College Sun Yat-sen UniversityGuangzhou 510080China Guangzhou Pharmaceutical Holdings Limited Guangzhou 510130China National Engineering Research Center of Pharmaceutical Processing Technology of Traditional Chinese Medicine and Drug Innovation Guangzhou 510240China

OBJECTIVE:To investigate the effect of Ganoderma Lucidum Spore Oil(GLSO)on the tumor growth and survival of H22 tumor-bearing mice treated with cyclophosphamide(CTX),and explore the underlying ***:Allograft H22 hepatocellular carcinoma mouse model was applied to investigate the effect of GLSO on the tumor growth and survival of animals,and Kaplan-Meier survival analysis was used to analyze the life *** biochemical examination was used to determine the levels of alanine aminotransferase(ALT),aspartate aminotransferase(AST),urea(UREA)and creatinine(CRE).Western blot analysis was performed to detect Programmed Death-1(PD-1),Programmed Death Ligand 1(PD-L1),Janus Kinase 2(JAK2),phosphorylated Signal Transducer and Activator of Transcription 3(p-STAT3),and Signal Transducer and Activator of Transcription 3(STAT3)***:GLSO increased the anti-tumor effect of CTX and prolonged the survival of H22 tumor-bearing mice treated with ***,GLSO increased the thymus index and showed no obvious toxicity to liver functions of *** also decreased the level of UREA in H22 tumor-bearing mice treated with ***,GLSO could inhibit the expression of PD-1 in spleen,which was independent of JAK2 expression and STAT3 ***,GLSO did not affect the expression of PD-L1,JAK2,and p-STAT3 in tumor ***:GLSO could strengthen the anti-tumor effect of CTX and prolong the life span of H22 tumorbearing mice,while the underlying mechanism might be relevant to the amelioration effect of thymus function and inhibition of PD-1 expression in ***,these findings implied the promising role of GLSO in combination with CTX to extend the survival of patients in clinical chemotherapy of hepatocellular carcinoma.

关键词： carcinoma,hepatocellular cyclophosphamide survival programmed cell death 1 receptor Ganoderma Lucidum SporeOil

Improvement strategy on thermophysical properties of A_(2)B_(2)O_(7)-type rare earth zirconates for thermal barrier coatings applications:A review

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International Journal of Minerals,Metallurgy and Materials 2024年第5期31卷 1147-1165页

作者： Zijian Peng Yuhao Wang Shuqi Wang Junteng Yao Qingyuan Zhao Enyu Xie Guoliang Chen Zhigang Wang Zhanguo Liu yaming Wang Jiahu Ouyang School of Materials Science and Engineering Harbin Institute of TechnologyHarbin 150001China School of Materials and Metallurgical Engineering Inner Mongolia University of Science&TechnologyBaotou 014010China

The A_(2)B_(2)O_(7)-type rare earth zirconate compounds have been considered as promising candidates for thermal barrier coating(TBC) materials because of their low sintering rate,improved phase stability,and reduced thermal conductivity in contrast with the currently used yttria-partially stabilized zirconia (YSZ) in high operating temperature *** review summarizes the recent progress on rare earth zirconates for TBCs that insulate high-temperature gas from hot-section components in gas *** on the first principles,molecular dynamics,and new data-driven calculation approaches,doping and high-entropy strategies have now been adopted in advanced TBC materials *** this paper,the solid-state heat transfer mechanism of TBCs is explained from two aspects,including heat conduction over the full operating temperature range and thermal radiation at medium and high *** paper also provides new insights into design considerations of adaptive TBC materials,and the challenges and potential breakthroughs are further highlighted for extreme environmental *** for improving thermophysical performance are proposed in two approaches:defect engineering and material compositing.

关键词： rare earth zirconates thermal barrier coatings defect engineering doping and compositing thermal conductivity thermal expansion