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Rock mass quality prediction on tunnel faces with incomplete multi-source dataset via tree-augmented naive Bayesian network

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International Journal of Mining Science and Technology 2024年第3期34卷 323-337页

作者： Hongwei Huang chen Wu Mingliang Zhou jiayao chen Tianze Han Le Zhang Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education Tongji UniversityShanghai 200092China Department of Geotechnical Engineering Tongji UniversityShanghai 200092China School of Civil Engineering Beijing Jiaotong UniversityBeijing 100044China Qingdao Guoxin Second Jiaozhou Bay Subsea Tunnel Co. Ltd.Qingdao 266071China

Rock mass quality serves as a vital index for predicting the stability and safety status of rock tunnel faces.In tunneling practice,the rock mass quality is often assessed via a combination of qualitative and quantitative parameters.However,due to the harsh on-site construction conditions,it is rather difficult to obtain some of the evaluation parameters which are essential for the rock mass quality prediction.In this study,a novel improved Swin Transformer is proposed to detect,segment,and quantify rock mass characteristic parameters such as water leakage,fractures,weak interlayers.The site experiment results demonstrate that the improved Swin Transformer achieves optimal segmentation results and achieving accuracies of 92%,81%,and 86%for water leakage,fractures,and weak interlayers,respectively.A multisource rock tunnel face characteristic(RTFC)dataset includes 11 parameters for predicting rock mass quality is established.Considering the limitations in predictive performance of incomplete evaluation parameters exist in this dataset,a novel tree-augmented naive Bayesian network(BN)is proposed to address the challenge of the incomplete dataset and achieved a prediction accuracy of 88%.In comparison with other commonly used Machine Learning models the proposed BN-based approach proved an improved performance on predicting the rock mass quality with the incomplete dataset.By utilizing the established BN,a further sensitivity analysis is conducted to quantitatively evaluate the importance of the various parameters,results indicate that the rock strength and fractures parameter exert the most significant influence on rock mass quality.

关键词： Rock mass quality Tunnel faces Incomplete multi-source dataset Improved Swin Transformer Bayesian networks

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The spatial transcriptomic landscape of human gingiva in health and periodontitis

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Science China(Life Sciences) 2024年第4期67卷 720-732页

作者： Zongshan Shen Ran Zhang Yunjia Huang jiayao chen Mengjun Yu Chunhua Li Yong Zhang Lingling chen Xin Huang Jichen Yang Zhengmei Lin Songlin Wang Bin cheng Hospital of Stomatology Guangdong Provincial Key Laboratory of StomatologyGuanghua School of StomatologySun Yat-sen UniversityGuangzhou 510055China Beijing Laboratory of Oral Health Capital Medical UniversityBeijing 100050China Department of Oral Pathology Peking University School and Hospital of Stomatology&National Center of Stomatology&National Clinical Research Center for Oral Diseases&National Engineering Research Center of Oral Biomaterials and Digital Medical DevicesBeijing 100050China Research Unit of Precision Pathologic Diagnosis in Tumors of the Oral and Maxillofacial Regions Chinese Academy of Medical SciencesBeijing 100050China BGI-Qingdao BGI-ShenzhenQingdao 266555China

The gingiva is a key oral barrier that protects oral tissues from various stimuli.A loss of gingival tissue homeostasis causes periodontitis,one of the most prevalent inflammatory diseases in humans.The human gingiva exists as a complex cell network comprising specialized structures.To understand the tissue-specific pathophysiology of the gingiva,we applied a recently developed spatial enhanced resolution omics-sequencing(Stereo-seq)technique to obtain a spatial transcriptome(ST)atlas of the gingiva in healthy individuals and periodontitis patients.By utilizing Stereo-seq,we identified the major cell types present in the gingiva,which included epithelial cells,fibroblasts,endothelial cells,and immune cells,as well as subgroups of epithelial cells and immune cells.We further observed that inflammation-related signalling pathways,such as the JAK-STAT and NF-κB signalling pathways,were significantly upregulated in the endothelial cells of the gingiva of periodontitis patients compared with those of healthy individuals.Additionally,we characterized the spatial distribution of periodontitis risk genes in the gingiva and found that the expression of IFI16 was significantly increased in endothelial cells of inflamed gingiva.In conclusion,our Stereo-seq findings may facilitate the development of innovative therapeutic strategies for periodontitis by mapping periodontitis-relevant genes and pathways and effector cells.

关键词： spatial transcriptomics gingiva periodontal disease periodontitis risk genes

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Restoring periodontal tissue homoeostasis prevents cognitive decline by reducing the number of Serpina3nhigh astrocytes in the hippocampus

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The Innovation 2024年第1期5卷 98-108页

作者： Zongshan Shen Shuhong Kuang Yong Zhang jiayao chen Shuting Wang Congfei Xu Yunjia Huang Min Zhang Shuheng Huang Jun Wang ChuanJiang Zhao Zhengmei Lin Xuetao Shi Bin cheng Hospital of Stomatology Guangdong Provincial Key Laboratory of StomatologyGuanghua School of StomatologySun Yat-sen UniversityGuangzhou 510060China National Engineering Research Centre for Tissue Restoration and Reconstruction South China University of TechnologyGuangzhou 510006China Key Laboratory of Biomedical Engineering of Guangdong Province South China University of TechnologyGuangzhou 510006China School of Biomedical Science and Engineering South China University of TechnologyGuangzhou 510650China The First Affiliated Hospital Sun Yat-sen UniversityGuangzhou 510080China

Cognitive decline has been linked to periodontitis through an undetermined pathophysiological mechanism.This study aimed to explore the mechanism underlying periodontitis-related cognitive decline and identify therapeutic strategies for this condition.Using single-nucleus RNA sequencing we found that changes in astrocyte number,gene expression,and cell‒cell communication were associated with cognitive decline in mice with periodontitis.In addition,activation of the NOD-like receptor family pyrin domain containing 3(NLRP3)inflammasome was observed to decrease the phagocytic capability of macrophages and reprogram macrophages to a more proinflammatory state in the gingiva,thus aggravating periodontitis.To further investigate this finding,lipid-based nanoparticles carrying NLRP3 siRNA(NPsiNLRP3)were used to inhibit overactivation of the NLRP3 inflammasome in gingival macrophages,restoring the oral microbiome and reducing periodontal inflammation.Furthermore,gingival injection of NPsiNLRP3 reduced the number of Serpina3nhigh astrocytes in the hippocampus and prevented cognitive decline.This study provides a functional basis for the mechanism by which the destruction of periodontal tissues can worsen cognitive decline and identifies nanoparticle-mediated restoration of gingival macrophage function as a novel treatment for periodontitis-related cognitive decline.

关键词： NLRP3 periodontal number

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Catalytic conversion and DFT analysis of post DDBD-catalysis system for degradation of toluene,ethyl acetate and acetone with different metal-oxides catalysts

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Journal of Rare Earths 2023年第2期41卷 215-223页

作者： Xin Liu Jianqi Liu jiayao chen Fangchuan Zhong College of Environmental Science and Engineering Donghua UniversityShanghai 201620China College of Science Donghua UniversityShanghai 201620China Member of Magnetic Confinement Fusion Research Centre Ministry of EducationShanghai 201620China

A series of multiphase metal-oxide catalysts(MnOx/γ-Al_(2)O_(3),CuOx/γ-Al_(2)O_(3),FeO_(x/γ)-Al_(2)O_(3),CeO_(x)/γ-Al_(2)O_(3)and LaOx/γ-Al_(2)O_(3))were prepared for plasma-catalyst degradation of multicomponent volatile organic compounds(VOCs,such as toluene,acetone and ethyl acetate).The results reveal that the degradation efficiency(DE)of acetone,toluene and ethyl acetate in the DDBD system can be arranged as follows:Mn_(2)O_(3)/γ-Al_(2)O_(3)>Fe2O3/γ-Al_(2)O_(3)>CuO_(/γ)-Al_(2)O_(3)>CeO_(2)/γ-Al_(2)O_(3)>La_(2)O_(3)/γ-Al_(2)O_(3)>γ-Al_(2)O_(3),and the highest DE(49.5%for acetone,93.3%for toluene and 79.8%for ethyl acetate)is obtained in Mn_(2)O_(3)/γ-Al_(2)O_(3)+double dielectric barrier discharge(DDBD)system at specific input energy(SIE)of 700 J/L.Compared with the other catalysts,Mn_(2)O_(3)/γ-Al_(2)O_(3)also exhibits the most significant inhibitory effect on the production of ozone(O3).On the other hand,CeO_(2)/γ-Al_(2)O_(3)and La_(2)O_(3)/γ-Al_(2)O_(3)catalysts display different catalytic selectivity.Both catalysts can slightly raise the DE of VOCs and remarkably facilitate VOCs’mineralization.The carbon balance(CB)is increased by 30.2%and 38.8%,and the CO_(2)selectivity(SCO_(2))is raised by 70.5%and 11.9%in the CeO_(2)/γ-Al_(2)O_(3)+DDBD system and La_(2)O_(3)/γ-Al_(2)O_(3)+DDBD system at SIE of 700 J/L,respectively.To further understand the catalytic effect of the catalysts,the adsorption of O3on different catalysts was simulated by a DFT model.According to the results of the DFT model,it is found that the adsorption energy of other metal oxides seems to be used as a reference for catalytic effect to a certain extent except CeO_(2).The higher the absolute values of adsorption energy,the higher the improvement of VOCs degradation efficiency by catalyst.

关键词： Multiphase metal-oxide catalysts Plasma-catalyst Multicomponent volatile organic compounds Rare earths

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Composite electrolytes with efficient Li^(+)transport across ceramic/polymer interface

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Science China Chemistry 2023年第7期66卷 1879-1880页

作者： jiayao chen Xinyuan Shan Peng-Fei Cao State Key Lab of Organic-Inorganic Composites Beijing University of Chemical TechnologyBeijing 100029China Institute of New Energy Material Chemistry School of Materials Science and EngineeringNankai UniversityTianjin 300350China

Over the past decades,solid electrolytes have re-emerged as promising candidates which replace flammable liquid electrolytes for a safe,energy-dense,and reversible storage of electrochemical energy in batteries[1].However,as the main distinct families of solid electrolytes,both polymer and ceramic electrolytes have their individual disadvantages in ionic conductivity,mechanical robustness,and interfacial resistance.

关键词： ceramic polymer interface

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Face stability analysis of circular tunnels in layered rock masses using the upper bound theorem

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Journal of Rock Mechanics and Geotechnical Engineering 2022年第6期14卷 1836-1871页

作者： Jianhong Man Mingliang Zhou Dongming Zhang Hongwei Huang jiayao chen Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education Department of Geotechnical EngineeringTongji UniversityShanghai200092China

An analysis of tunnel face stability generally assumes a single homogeneous rock mass.However,most rock tunnel projects are excavated in stratified rock masses.This paper presents a two-dimensional(2D)analytical model for estimating the face stability of a rock tunnel in the presence of rock mass stratification.The model uses the kinematical limit analysis approach combined with the block calculation technique.A virtual support force is applied to the tunnel face,and then solved using an optimization method based on the upper limit theorem of limit analysis and the nonlinear Hoek-Brown yield criterion.Several design charts are provided to analyze the effects of rock layer thickness on tunnel face stability,tunnel diameter,the arrangement sequence of weak and strong rock layers,and the variation in rock layer parameters at different positions.The results indicate that the thickness of the rock layer,tunnel diameter,and arrangement sequence of weak and strong rock layers significantly affect the tunnel face stability.Variations in the parameters of the lower layer of the tunnel face have a greater effect on tunnel stability than those of the upper layer.

关键词： Face stability Rock tunnel Layered rock masses Upper bound solution Hoek—Brown criterion

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Machine learning-based classification of rock discontinuity trace:SMOTE oversampling integrated with GBT ensemble learning

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International Journal of Mining Science and Technology 2022年第2期32卷 309-322页

作者： jiayao chen Hongwei Huang Anthony G.Cohn Dongming Zhang Mingliang Zhou Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education Department of Geotechnical EngineeringTongji UniversityShanghai 200092China School of Computing University of LeedsLS29JT LeedsUnited Kingdom Department of Computer Science and Technology Tongji UniversityShanghai 211985China School of Civil Engineering Shandong UniversityJinan 250061China Luzhong Institute of Safety Environmental Protection Engineering and MaterialsQingdao University of Science and TechnologyZibo 255000China School of Mechanical and Electrical Engineering Qingdao University of Science and TechnologyQingdao 260061China

This paper presents a hybrid ensemble classifier combined synthetic minority oversampling technique(SMOTE),random search(RS)hyper-parameters optimization algorithm and gradient boosting tree(GBT)to achieve efficient and accurate rock trace identification.A thirteen-dimensional database consisting of basic,vector,and discontinuity features is established from image samples.All data points are classified as either‘‘trace”or‘‘non-trace”to divide the ultimate results into candidate trace samples.It is found that the SMOTE technology can effectively improve classification performance by recommending an optimized imbalance ratio of 1:5 to 1:4.Then,sixteen classifiers generated from four basic machine learning(ML)models are applied for performance comparison.The results reveal that the proposed RS-SMOTE-GBT classifier outperforms the other fifteen hybrid ML algorithms for both trace and nontrace classifications.Finally,discussions on feature importance,generalization ability and classification error are conducted for the proposed classifier.The experimental results indicate that more critical features affecting the trace classification are primarily from the discontinuity features.Besides,cleaning up the sedimentary pumice and reducing the area of fractured rock contribute to improving the overall classification performance.The proposed method provides a new alternative approach for the identification of 3D rock trace.

关键词： Tunnel face Rock discontinuity trace Machine learning Gradient boosting tree Generalization ability

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A novel image-based approach for interactive characterization of rock fracture spacing in a tunnel face

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Journal of Rock Mechanics and Geotechnical Engineering 2022年第4期14卷 1077-1088页

作者： jiayao chen Yifeng chen Anthony G.Cohn Hongwei Huang Jianhong Man Lijun Wei Key Laboratory of Geotechnical and Underground Engineering of Ministry of Education Department of Geotechnical EngineeringTongji UniversityShanghai200092China School of Computing University of LeedsLeedsLS29JTUK Department of Computer Science and Technology Tongji UniversityShanghai211985China School of Civil Engineering Shandong UniversityJinan250061China Luzhong Institute of Safety Environmental Protection Engineering and Materialsand School of Mechanical and Electrical EngineeringQingdao University of Science and TechnologyQingdao255000China

This paper presents a novel integrated method for interactive characterization of fracture spacing in rock tunnel sections.The main procedure includes four steps:(1)Automatic extraction of fracture traces,(2)digitization of trace maps,(3)disconnection and grouping of traces,and(4)interactive measurement of fracture set spacing,total spacing,and surface rock quality designation(S-RQD)value.To evaluate the performance of the proposed method,sample images were obtained by employing a photogrammetrybased scheme in tunnel faces.Experiments were then conducted to determine the optimal parameter values(i.***.distance threshold,angle threshold,and number of fracture trace grouping)for characterizing rock fracture spacing.By applying the identified optimal parameters involved in the model,the proposed method could lead to excellent qualitative results to a new tunnel face.To perform a quantitative analysis,three methods(i.***.field,straightening,and the proposed method)were employed in the same study and comparisons were made.The proposed method agrees well with the field measurement in terms of the maximum and average values of measured spacing distribution.Overall,the proposed method has reasonably good accuracy and interactive advantage for estimating the ultimate fracture spacing and S-RQD.It can be a possible extension of existing methods for fracture spacing characterization for two-dimensional(2D)rock tunnel faces.

关键词： Fracture spacing Rock tunnel Image processing Fracture set grouping

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Highly sensitive vector magnetic fiber sensor based on hyperbolic metamaterials

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Science China(Physics,Mechanics & Astronomy) 2022年第11期65卷 115-124页

作者： Shiqi Hu Junhao Liang jiayao chen Hongda cheng Qianyu Lin Weicheng Shi Jinming Yuan Gui-Shi Liu Lei chen Zhe chen Norhana Arsad Yaofei chen Yunhan Luo Guangdong Provincial Key Laboratory of Optical Fiber Sensing and Communications Department of Optoelectronic EngineeringCollege of Science and EngineeringJinan UniversityGuangzhou510632China Key Laboratory of Optoelectronic Information and Sensing Technologies of Guangdong Higher Education Institutes Jinan UniversityGuangzhou510632China Department of Electrical Electronic and Systems EngineeringFaculty of Engineering and Built EnvironmentUniversiti Kebangsaan MalaysiaBangi43600Malaysia

Hyperbolic metamaterials(HMMs) are novel artificial materials that excite the surface plasmon resonance(SPR) because of their unique hyperbolic dispersion properties. Herein, to the best of our knowledge, we propose the first HMM-based fiber SPR(HMM-SPR) sensor for vector magnetic detection. By selecting the composite materials and structural parameters of the HMM dispersion management, HMM-SPR sensors can achieve a high refractive index sensitivity of 14.43 μm/RIU. Vector magnetic field detection was performed with the HMM-SPR sensor encapsulated with a magnetic fluid. Compared with other ferrofluidbased magnetic field fiber sensors, the proposed sensor shows pronounced advantages in intensity and direction sensitivity of 1.307 nm/Oe and 7.116 nm/°, respectively. The sensor design approach presented in this paper provides an excellent demonstration of HMM-SPR sensors in various applications.

关键词： hyperbolic metamaterials(HMMs) vector magnetic detection surface plasmon resonance(SPR) direction sensitivity intensity sensitivity

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Novel STING-targeted PET radiotracer for alert and therapeutic evaluation of acute lung injury

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Acta Pharmaceutica Sinica B 2023年第5期13卷 2124-2137页

作者： Duo Xu Fan Yang jiayao chen Tianxing Zhu Fen Wang Yitai Xiao Zibin Liang Lei Bi Guolong Huang Zebo Jiang Hong Shan Dan Li Center for Interventional Medicine the Fifth Affiliated HospitalSun Yat-sen UniversityZhuhai 519000China Department of Nuclear Medicine the Fifth Affiliated HospitalSun Yat-sen UniversityZhuhai 519000China Guangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging the Fifth Affiliated HospitalSun Yat-sen UniversityZhuhai 519000China Department of Pathology the First Affiliated HospitalSun Yat-sen UniversityGuangzhou 510080China

Acute lung injury(ALI),as a common clinical emergency,is pulmonary edema and diffuse lung infiltration caused by inflammation.The lack of non-invasive alert strategy,resulting in failure to carry out preventive treatment,means high mortality and poor prognosis.Stimulator of interferon genes(STING)is a key molecular biomarker of innate immunity in response to inflammation,but there is still a lack of STING-targeted strategy.In this study,a novel STING-targeted PET tracer,[~(18)F]FBTA,was labeled with high radiochemical yield(79.7±4.3%)and molar activity(32.5±2.9 GBq/μmol).We confirmed that[~(18)F]FBTA has a strong STING binding affinity(K_d=26.86±6.79 nmol/L)and can be used for PET imaging in ALI mice to alert early lung inflammation and to assess the efficacy of drug therapy.Our STING-targeted strategy also reveals that[~(18)F]FBTA can trace ALI before reaching the computed tomography(CT)diagnostic criteria,and demonstrates its better specificity and distribution than[~(18)F]fluorodeoxyglucose([~(18)F]FDG).

关键词： Acute lung injury(ALI) Stimulator of interferon genes(STING) PET imaging [~(18)F]FBTA

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