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| 1 | Melatonin: A master regulator of plant development and stress responses显示文摘Melatonin is a pleiotropic molecule with multiple functions in plants. Since the discovery of melatonin in plants, numerous studies have provided insight into the biosynthesis, catabolism, and physiological and biochemical functions of this important molecule. Here, we describe the biosynthesis of melatonin from tryptophan, as well as its various degradation pathways in plants. The identification of a putative melatonin receptor in plants has led to the hypothesis that melatonin is a hormone involved in regulating plant growth,aerial organ development, root morphology, and the floral transition. The universal antioxidant activity of melatonin and its role in preserving chlorophyll might explain its anti-senescence capacity in aging leaves. An impressive amount of research has focused on the role of melatonin in modulating postharvest fruit ripening by regulating the expression of ethylene-related genes.Recent evidence also indicated that melatonin functions in the plant's response to biotic stress,cooperating with other phytohormones and wellknown molecules such as reactive oxygen species and nitric oxide. Finally, great progress has been made towards understanding how melatonin alleviates the effects of various abiotic stresses, including salt, drought, extreme temperature, and heavy metal stress. Given its diverse roles, we propose that melatonin is a master regulator in plants. | Chengliang Sun Lijuan Liu Luxuan Wang Baohai Li Chongwei Jinand Xianyong Lin | 2021 | Journal of Integrative Plant Biology2021，63，1： | 14 |
| 2 | Numerical simulation of bubble plumes in overlying water of gas hydrate in the cold seepage active region显示文摘To study the seismic responses produced by gas hydrate bubble plumes in the cold seepage active region, we constructed a plume water body model based on random medium theory and acoustic velocity model of bubble medium. The plume water body model was forward simulated by finite difference. Seismic records of single shot show the scattered waves produced by the plume. The scattered wave energy is strong where the plume exists. Where the scattered wave energy is stronger, the minimum of travel time is always above the plume, which has no relationship with the shot's position. Seismic records of shot gathers were processed by prestack time migration. The migration section shows that the scattered waves produced by plumes can be imaged distinctly with higher accuracy. These researches laid a foundation for further study on the seismic responses produced by plumes and provided a new approach for the identification of gas hydrate. | LI CanPing LIU XueWei GOU LiMin WANG XiangChun YIN JunJie XIE ChengLiang | 2013 | Science China Earth Sciences2013，56，4： | 11 |
| 3 | Nitric oxide alleviates aluminum-induced oxidative damage through regulating the ascorbateglutathione cycle in roots of wheat显示文摘The possible association with nitric oxide(NO) and ascorbate-glutathione(As A-GSH) cycle in regulating aluminum(Al) tolerance of wheat(Triticum aestivum L.) was investigated using two genotypes with different Al resistance. Exposure to Al inhibited root elongation, and triggered lipid peroxidation and oxidation of As A to dehydroascorbate and GSH to glutathione disulfide in wheat roots. Exogenous NO significantly increased endogenous NO levels, and subsequently alleviated Al-induced inhibition of root elongation and oxidation of As A and GSH to maintain the redox molecules in the reduced form in both wheat genotypes. Under Al stress, significantly increased activities and gene transcriptional levels of ascorbate peroxidase, glutathione reductase, and dehydroascorbate reductase,were observed in the root tips of the Al-tolerant genotype Jian-864. Nitric oxide application enhanced the activity and gene transcriptional level of these enzymes in both wheat genotypes. g-Glutamylcysteine synthetase was not significantly Researaffected by Al or NO, but NO treatments increased the activity of glutathione peroxidase and glutathione S-transferase to a greater extent than the Al-treated wheat seedlings. Proline was significantly decreased by Al, while it was not affected by NO.These results clearly suggest that NO protects wheat root against Al-induced oxidative stress, possibly through its regulation of the As A-GSH cycle. | Chengliang Sun Lijuan Liu Yan Yu Wenjing Liu Lingli Lu Chongwei Jin Xianyong Lin | 2015 | Journal of Integrative Plant Biology2015，57，6： | 10 |
| 4 | Single-phase multiferroics: new materials, phenomena,and physics显示文摘Multiferroics,where multiple ferroic orders coexist and are intimately coupled,promise novel applications in conceptually new devices on one hand,and on the other hand provide fascinating physics that is distinctly different from the physics of high-Tc superconductors and colossal magnetoresistance manganites.In this mini-review;we highlight the recent progress of single-phase multiferroics in the exploration of new materials,efficient roadmaps for functionality enhancement,new phenomena beyond magnetoelectric coupling,and underlying novel physics.In the meantime;a slightly more detailed description is given of several multiferroics with ferrimagnetic orders and double-layered perovskite structure and also of recently emerging 2D multiferroics.Some emergent phenomena such as topological vortex domain structure,non-reciprocal response,and hybrid mechanisms for multiferroicity engineering and magnetoelectric coupling in various types of multiferroics will be briefly reviewed. | Chengliang Lu Menghao Wu Lin Lin Jun-Ming Liu | 2019 | National Science Review2019，6，4： | 9 |
| 5 | A pre-generated matrix-based method for real-time robotic drilling chatter monitoring显示文摘Currently, due to the detrimental effects on surface finish and machining system, chatter has been one crucial factor restricting robotic drilling operations, which improve both quality and efficiency of aviation manufacturing. Based on the matrix notch filter and fast wavelet packet decomposition, this paper presents a novel pre-generated matrix-based real-time chatter monitoring method for robotic drilling. Taking vibration characteristics of robotic drilling into account, the matrix notch filter is designed to eliminate the interference of spindle-related components on the measured vibration signal. Then, the fast wavelet packet decomposition is presented to decompose the filtered signal into several equidistant frequency bands, and the energy of each sub-band is obtained. Finally, the energy entropy which characterizes inhomogeneity of energy distribution is utilized as the feature to recognize chatter on-line, and the effectiveness of the presented algorithm is validated by extensive experimental data. The results show that the proposed algorithm can effectively detect chatter before it is fully developed. Moreover, since both filtering and decomposition of signal are implemented by the pre-generated matrices, calculation for an energy entropy of vibration signal with 512 samples takes only about 0.690 ms. Consequently, the proposed method achieves real-time chatter monitoring for robotic drilling, which is essential for subsequent chatter suppression. | Jianfeng TAO Chengjin QIN Dengyu XIAO Haotian SHI Chengliang LIU | 2019 | Chinese Journal of Aeronautics2019，32，12： | 9 |
| 6 | Twenty-five years of progress in geopolitics research: Efforts from China's geographers显示文摘 | DU Debin DUAN Dezhong LIU Chengliang MA Yahua | 2016 | Journal of Geographical Sciences2016，26，8： | 9 |
| 7 | TOOL PATH PLANNING USING VORONOI DIAGRAM AND THREE STACKS显示文摘Based on the object oriented data structure of Voronoi diagram, the algorithm of the trimmed offset generating and the optimal too l path planning of the pocket machining for multiply connected polygonal domains are studied. The intersection state transition rule is improved in this algorithm. The intersection is between the trimmed offsets and Voronoi polygon. On this basis, the trimmed offset generating and the optimal tool path planning are mad e with three stacks(I stack, C stack and P stack)in different monotonous pouches of Voronoi diagram. At the same time, a merging method of Voronoi diagram an d offsets generating for multiply connected polygonal domains is also presented. The above algorithms have been implemented in NC machining successfully, and the efficiency is fully verified. | Fu Zhuang,Liu Chengliang,Yin Yuehong,Cao Qixin,Ma Peixun (Research Institute of Robotics, Shanghai Jiaotong University) Wang Shuguo (Harbin Institute of Technology) | 2001 | Chinese Journal of Mechanical Engineering2001，14，4： | 5 |
| 8 | Tribo-informatics:Concept,architecture,and case study显示文摘Friction plays a vital role in energy dissipation,device failure,and even energy supply in modern society.After years of research,data and information on tribology research are becoming increasingly available.Because of the strong systematic and multi-disciplinary coupling characteristics of tribology,tribology information is scattered in various disciplines with different patterns,e.g.,technical documents,databases,and papers,thereby increasing the information entropy of the system,which is inconducive to the preservation and circulation of research information.With the development of computer and information science and technology,many subjects have begun to be combined with information technology,and multi-disciplinary informatics has been born.This paper describes the combination of information technology with tribology research,presenting the connotation and architecture of tribo-informatics,and providing a case study on implementing the proposed concept and architecture.The proposal and development of tribo-informatics described herein will improve the research efficiency and optimize the research process of tribology,which is of considerable significance to the development of this field. | Zhinan ZHANG Nian YIN Shi CHEN Chengliang LIU | 2021 | Friction2021，9，3： | 5 |
| 9 | Mechanism underlying the retarded nuclear translocation of androgen receptor splice variants显示文摘As shown in our previous study, two alternatively spliced androgen receptor(AR) variants, which are exclusively expressed in the granulosa cells of patients with polycystic ovary syndrome, exhibit retarded nuclear translocation compared with wild-type AR. However, researchers have not yet determined whether these abnormalities correlate with heat shock protein 90(HSP90)and importin α(the former is a generally accepted co-chaperone of AR, and the latter is a component of classical nuclear import complexes). Here, these two variants were mainly retained in cytoplasm with HSP90 and importin α in the presence of dihydrotestosterone(DHT), and their levels in nucleus were significantly reduced, according to the immunofluorescence staining. The binding affinity of two AR variants for importin α was consistently decreased, while it was increased in WT-AR following DHT stimulation, leading to reduced nuclear import, particularly for the insertion-AR(Ins-AR). However, the binding affinities of two AR variants for HSP90 were increased in the absence of DHT compared with WT-AR, which functioned to maintain spatial structural stability, particularly for the deletion-AR(Del-AR). Therefore, the retarded nuclear translocation of two AR variants is associated with HSP90 and importin α, and the abnormal binding affinities for them play critical roles in this process. | Ye Liu Yinyu Wang Fangfang Wang Jiexue Pan Jingjing Xu Jingyi Li Chengliang Zhou Guolian Ding Yanting Wu Xinmei Liu Jianzhong Sheng Hefeng Huang | 2019 | Science China(Life Sciences)2019，62，2： | 4 |
| 10 | Factors influencing the porosity of gas hydrate bearing sediments显示文摘Porosity is a key parameter in calculating the velocity of gas hydrate bearing sediments and quantifying the amount of gas hydrate. The variation of porosity is affected by many factors. The influences of different factors on porosity are distinct. The purpose of this paper is to analyze the main factors that affect the overall and local change of porosity in marine sediments where gas hydrate was sampled. Porosity logs were collected from ODP Leg 164, Blake Ridge, ODP Leg 204, Hydrate Ridge, and IODP expedition 311, Cascadia Margin. Based on the characteristic of porosity variation in depth, porosity was divided into three components: low frequency component, middle frequency component, and high frequency component. The factors influencing each component were discussed. From the analysis, we observed that the porosity of unconsolidated sediment was very high, and the decreasing trend of low frequency component versus depth was affected by compaction. In addition, the initial porosity and slope of low frequency component variation were affected by the content of fine grain and geothermal gradient respectively. The middle component could reflect the variation of lithology, which was affected by the content variation of different sized grains and gas hydrate. The high frequency component was affected by the frequent change of grain size. The existence of volcanic ash-rich sand caused a high value to the high frequency component. The results are applicable to porosity evaluation in gas hydrate bearing sediments. | HE Jing LIU XueWei YU Zhen XIE ChengLiang LI ZiWei | 2013 | Science China Earth Sciences2013，56，4： | 3 |
| 11 | Integrated analysis reveals an association between the rhizosphere microbiome and root rot of arecanut palm显示文摘The rhizosphere microbial community is crucial to plant health.Many studies have explored the association between the rhizosphere microbiome and plant disease.However,few studies have focused on root rot in arecanut palm,a disease causing devastating effects and thus resulting in economic losses that considerably affect the development of the arecanut industry.Here,rhizosphere samples were collected from both healthy arecanut palm plants and root-rotted arecanut palm plants,and the microbial communities were analyzed using high-throughput sequencing.The root-rotted samples exhibited distinct microbial community richness,diversity,and composition compared with the healthy samples,which was associated with p H according to the Mantel test.Identified potential plant pathogens,including Proteobacteria,Bacteroidetes,Chytridiomycota,and Mortierellomycota,were significantly enriched in the root-rotted samples.In contrast,potentially beneficial plant microbes,such as Acidobacteria and Gemmatimonadetes,were significantly depleted in the root-rotted samples.Co-occurrence networks were constructed to further identify microbial relationships in the root-rotted samples.These findings revealed ecological imbalance among beneficial bacteria in the root-rotted samples.The present study therefore provides an integrated view of the association between the microbial community and root rot in arecanut palm. | Hong LI Xiang MA Yanqiong TANG Chengliang YAN Xinwen HU Xi HUANG Min LIN Zhu LIU | 2021 | Pedosphere2021，31，5： | 3 |
| 12 | Nonlinear Static and Dynamic Stiffness Characteristics of Support Hydraulic System of TBM显示文摘Full-face hard rock tunnel boring machines(TBM)are essential equipment in highway and railway tunnel engineering construction.During the tunneling process,TBM have serious vibrations,which can damage some of its key components.The support system,an important part of TBM,is one path through which vibrational energy from the cutter head is transmitted.To reduce the vibration of support systems of TBM during the excavation process,based on the structural features of the support hydraulic system,a nonlinear dynamical model of support hydraulic systems of TBM is established.The influences of the component structure parameters and operating conditions parameters on the stiffness characteristics of the support hydraulic system are analyzed.The analysis results indicate that the static stiffness of the support hydraulic system consists of an increase stage,stable stage and decrease stage.The static stiffness value increases with an increase in the clearances.The pre-compression length of the spring in the relief valve a ects the range of the stable stage of the static stiffness,and it does not a ect the static stiffness value.The dynamic stiffness of the support hydraulic system consists of a U-shape and reverse U-shape.The bottom value of the U-shape increases with the amplitude and frequency of the external force acting on the cylinder body,however,the top value of the reverse U-shape remains constant.This study instructs how to design the support hydraulic system of TBM. | Jianfeng Tao Junbo Lei Chengliang Liu Wei Yuan | 2019 | Chinese Journal of Mechanical Engineering2019，32，6： | 3 |
| 13 | EFFECTS OF POLYTROPIC EXPONENT ON DATA PROCESSING METHODS USED IN CONSTANT VOLUME DISCHARGE显示文摘In order to obtain the accurate sonic conductance of solenoid valves,the polytropic exponent is used in the data processing of the discharge method for measuring the flow rate characteristics of pneumatic components. Three data processing principles are first introduced,and then the discharge pressure data obtained from the measured solenoid valve are processed to obtain the sonic conductance with three methods: the partial polytropic exponent method,the complete polytropic exponent method and the adiabatic method. By comparison of the obtained results it indicates that the complete polytropic exponent method is the most accurate. However,the partial polytropic exponent method is of a high applicable value,because it is easy and simple to measure and the obtained results are relatively accurate. | YANG Lihong LIU Chengliang ZHA Xuanfang | 2008 | Chinese Journal of Mechanical Engineering2008，21，1： | 2 |
| 14 | Hepatitis B virus hijacks CTHRC1 to evade host immunity and maintain replication显示文摘HepatitisBvirus(HBV)infection causes acuteand chronic liver diseases,but is not directly cytopathic.Liver injury results fromrepeated attempts of the cellular immune response system to control the viral infection.Here,we investigate the roles of cellular factors and signaling pathways involved in the regulation of HBV replication to reveal the mechanism underlying HBV infection and pathogenesis.Weshowthat collagen triple helix repeat containing 1(CTHRC1)expression is elevated in HBV-infected patients andin HBV-transfected cells through epigenetic modification and transcriptional regulation.CTHRC1 facilitates HBV replication in cultured cells and BALB/c mice by activating the PKCa/ERK/JNK/c-Jun cascade to repress the IFN/JAK/STAT pathway.HBV-activated CTHRC1 downregulates the activityof typeI interferon(IFN),theproductionof IFN-stimulatedgenes(ISGs),andthephosphorylationofsignal transducerandactivator of transcription 1/2(STAT1/2),whereas it upregulates the phosphorylation and ubiquitination of type I IFN receptors(IFNARa/b).Thus,our results showthat HBV uses a novelmechanismto hijack cellular factors and signal cascades in order to evade host antiviral immunity and maintain persistent infection.We also demonstrate that CTHRC1 has a novel role in viral infection. | Lan Bai Wei Zhang Li Tan Hongchuan Yang Maolin Ge Chengliang Zhu Rui Zhang Yanhua Cao Junbo Chen Zhen Luo Wenzhe Ho Fang Liu Kailang Wu Jianguo Wu | 2015 | Journal of Molecular Cell Biology2015，7，6： | 2 |
| 15 | Adaptive decision-level fusion strategy for the fault diagnosis of axial piston pumps using multiple channels of vibration signals显示文摘An axial piston pump is a key component that plays the role of the 'heart' in hydraulic systems. The pump failure will lead to an unexpected breakdown of the entire hydraulic system or even economic loss and catastrophic safety consequences. Several vibration-based machine learning methods have been developed to detect and diagnose faults of axial piston pumps. However,most of these intelligent diagnosis methods use single-sensor vibration data to monitor the pump health states. Additionally, the diagnostic accuracy is unacceptable in most situations due to the complex pump structure and limited sensor information.Therefore, this study proposes a multi-sensor fusion method to improve the fault diagnosis performance of axial piston pumps.The convolutional neural network receives three channels of vibration data and makes the final diagnosis through information fusion at the decision level. The proposed decision fusion method is evaluated on the classification task of leakage levels of an actual axial piston pump. The experimental results show that the proposed method improves the classification accuracy by adjusting the probability distribution of classification according to the learned weight matrix. | CHAO Qun GAO HaoHan TAO JianFeng WANG YuanHang ZHOU Jian LIU ChengLiang | 2022 | Science China(Technological Sciences)2022，65，2： | 2 |
| 16 | Fault diagnosis of axial piston pumps with multi-sensor data and convolutional neural network显示文摘Axial piston pumps have wide applications in hydraulic systems for power transmission.Their condition monitoring and fault diagnosis are essential in ensuring the safety and reliability of the entire hydraulic system.Vibration and discharge pressure signals are two common signals used for the fault diagnosis of axial piston pumps because of their sensitivity to pump health conditions.However,most of the previous fault diagnosis methods only used vibration or pressure signal,and literatures related to multi-sensor data fusion for the pump fault diagnosis are limited.This paper presents an end-to-end multi-sensor data fusion method for the fault diagnosis of axial piston pumps.The vibration and pressure signals under different pump health conditions are fused into RGB images and then recognized by a convolutional neural network.Experiments were performed on an axial piston pump to confirm the effectiveness of the proposed method.Results show that the proposed multi-sensor data fusion method greatly improves the fault diagnosis of axial piston pumps in terms of accuracy and robustness and has better diagnostic performance than other existing diagnosis methods. | Qun CHAO Haohan GAO Jianfeng TAO Chengliang LIU Yuanhang WANG Jian ZHOU | 2022 | Frontiers of Mechanical Engineering2022，17，3： | 2 |
| 17 | Molecular functions of nitric oxide and its potential applications in horticultural crops显示文摘Nitric oxide(NO)regulates plant growth,enhances nutrient uptake,and activates disease and stress tolerance mechanisms in most plants,making NO a potential tool for use in improving the yield and quality of horticultural crop species.Although the use of NO in horticulture is still in its infancy,research on NO in model plant species has provided an abundance of valuable information on horticultural crop species.Emerging evidence implies that the bioactivity of NO can occur through many potential mechanisms but occurs mainly through S-nitrosation,the covalent and reversible attachment of NO to cysteine thiol.In this context,NO signaling specifically affects crop development,immunity,and environmental interactions.Moreover,NO can act as a fumigant against a wide range of postharvest diseases and pests.However,for effective use of NO in horticulture,both understanding and exploring the biological significance and potential mechanisms of NO in horticultural crop species are critical.This review provides a picture of our current understanding of how NO is synthesized and transduced in plants,and particular attention is given to the significance of NO in breaking seed dormancy,balancing root growth and development,enhancing nutrient acquisition,mediating stress responses,and guaranteeing food safety for horticultural production. | Chengliang Sun Yuxue Zhang Lijuan Liu Xiaoxia Liu Baohai Li Chongwei Jin Xianyong Lin | 2021 | Horticulture Research2021，8，1： | 2 |
| 18 | Facile Li-Al layered double hydroxide films on Al alloy for enhanced hydrophobicity, anti-biofouling and anti-corrosion performance显示文摘In this work,lithium(Li)-aluminum(Al)layered double hydroxide(LDH)films modified by 4-amino-2-((hydrazine methylene)amino)-4-oxobutanoic acid(denoted as AOA acid)and/or 1H,1H,2H,2H-perfluorooctyltriethoxysilane were prepared on 6N01 Al alloy by a facile,in-situ growth method with enhanced hydrophobicity,anti-biofouling and anti-corrosion performance.The preparation is low energy consumptive and environment friendly,relying on self-assembly at ambient temperature.The structure,molecular weight and functional groups of the synthesized AOA acid were characterized by NMR spectrometer,ESI-MS spectrometer and Fourier transform infrared(FT-IR)spectroscopy.And the compositions,structure and morphology of the films were characterized by Fourier transform infrared(FT-IR)spectroscopy,glancing-angle X-ray diffraction(GA-XRD),X-ray photoelectron spectroscopy(XPS),field emission scanning electron microscopy(FE-SEM)and energy-dispersive x-ray spectrum(EDS).Water contact angle measurements(CA)and atomic force microscopy(AFM)characterization show that the films possess a micro/nanostructure with an improved hydrophobicity.Immersion test,neutral salt tests(NSS)and electrochemical impedance spectroscopy(EIS)conducted in 3.5 wt.%NaCl solutions demonstrate the improved corrosion resistance of the films over bare Al alloy.Meanwhile,the films also possess an excellent anti-bacterial property toEscherichia coli,Bacillus subtilis and sulfate-reducing bacteria. | Ji Li Tianci Yuan Chengliang Zhou Bo Chen Yi Shuai Dawang Wu Dongchu Chen Xiaohu Luo Y.Frank Cheng Yali Liu | 2021 | Journal of Materials Science & Technology2021，，20： | 2 |
| 19 | Multi-class 12-lead ECG automatic diagnosis based on a novel subdomain adaptive deep network显示文摘Arrhythmia is a common type of cardiovascular disease,which has become the leading cause of global deaths.Recently,the automatic 12-lead ECG diagnosis system based on numerous labelled data has attracted increasing attention.However,labelling 12-lead ECG recordings is a complex and time-consuming task for clinicians.And then,the existence of data distribution differences limits the direct cross domain use of the trained model.Enlighted by subdomain adaptation methods,this paper designs a novel subdomain adaptative deep network(SADN)for excavating diagnosis knowledge from source domain datasets.Firstly,the convolutional layer,residual blocks and SE-Residual blocks are utilized for extracting meaningful deep features automatically.Additionally,the feature classifier uses these deep features for obtaining the final diagnosis predictions.Further,designing a novel loss function with local maximum mean discrepancy is utilized for restricting data distribution discrepancy from different datasets.Finally,the Clinical Outcomes in Digital ECG and 1st China Physiological Signal Challenge datasets are utilized for evaluating the superiority of SADN,which presents that SADN enhances algorithm performance on the unlabelled target domain dataset.Further,compared with the existing methods,the proposed network structure acquires better performance with a F1-macro of 89.43%and a F1-macro1 of 87.09%.Besides,among the 4 kinds of ECG abnormalities,the diagnostic effect of the SADN is better than that of cardiology residents.Thus,SADN has promising potential as an auxiliary diagnostic tool for the clinical environment. | JIN YanRui LI ZhiYuan LIU YunQing LIU JinLei QIN Chengjin ZHAO LiQun LIU ChengLiang | 2022 | Science China(Technological Sciences)2022，65，11： | 2 |
| 20 | A novel LSTM-autoencoder and enhanced transformer-based detection method for shield machine cutterhead clogging显示文摘Shield tunneling machines are paramount underground engineering equipment and play a key role in tunnel construction.During the shield construction process,the“mud cake”formed by the difficult-to-remove clay attached to the cutterhead severely affects the shield construction efficiency and is harmful to the healthy operation of a shield tunneling machine.In this study,we propose an enhanced transformer-based detection model for detecting the cutterhead clogging status of shield tunneling machines.First,the working state data of shield machines are selected from historical excavation data,and a long short-term memory-autoencoder neural network module is constructed to remove outliers.Next,variational mode decomposition and wavelet transform are employed to denoise the data.After the preprocessing,nonoverlapping rectangular windows are used to intercept the working state data to obtain the time slices used for analysis,and several time-domain features of these periods are extracted.Owing to the data imbalance in the original dataset,the k-means-synthetic minority oversampling technique algorithm is adopted to oversample the extracted time-domain features of the clogging data in the training set to balance the dataset and improve the model performance.Finally,an enhanced transformer-based neural network is constructed to extract essential implicit features and detect cutterhead clogging status.Data collected from actual tunnel construction projects are used to verify the proposed model.The results show that the proposed model achieves accurate detection of shield machine cutterhead clogging status,with 98.85%accuracy and a 0.9786 F1 score.Moreover,the proposed model significantly outperforms the comparison models. | QIN ChengJin WU RuiHong HUANG GuoQiang TAO JianFeng LIU ChengLiang | 2023 | Science China(Technological Sciences)2023，66，2： | 2 |
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