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Goaf risk prediction based on IAoA-SVM and numerical simulation:A case study

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Underground Space 2024年第2期15卷 153-175页

作者： Mingliang Li Kegang Li yuedong Liu Shunchuan wu qingci qin Rui yue Faculty.of Land Resources Engineering Kunming University of Science and TechnologyKunming 650093China yunnan Key Laboratory.of Sino-German Blue Mining and Utilization of Special Underground Space Kunming 650093China yunnan Diqing Mining Co.Ltd. Shangrila 674400China

In regard to goaf risk prediction,due to the low accuracy and single prediction method,this study proposes a method that combines the improved arithmetic optimization algorithm(IAoA)–support vector machines(SVM)with GoCAD–FLAC^(3D)numerical ***,goaf risk is comprehensively *** the perspectives of geological and engineering conditions,eight factors that affect goaf stability and 176 sets of sample data were *** utilized eight influencing factors such as rock mass structure,geological structure,and goaf burial depth as inputs,and the goaf risk level as the ***,an IAoA–SVM goaf risk prediction model was *** 30 goaf areas of yangla Copper Mine in yunnan Province were selected as the research ***,the rationality.of mechanical parameter values in the numerical model was verified using the parameter inversion ***,based on the GoCAD–FLAC^(3D)numerical simulation method,the goaf risk analysis in yangla Copper Mine was ***,using numerical simulation verification,the goaf filling effect was ***,the prediction results of the IAoA–SVM model were compared with that of other intelligent *** results indicate that the numerical simulation results of the GoCAD–FLAC^(3D)model are consistent with those of IAoA–SVM and the actual results,which further verifies the effectiveness and superiority.of the IAoA–SVM prediction ***,an innovative approach for goaf risk prediction is developed.

关键词： Rock mechanics Goaf risk prediction IAoA SVM Numerical simulation

Stretchable and self-healing conductive fibers from hierarchical silver nanowires-assembled network

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Nano Research 2024年第2期17卷 763-770页

作者： ying-ying wu Hong Chen Fan Zhang Pan Guo Haili qin Huai-Ping Cong Anhui Province Key Laboratory.of Advanced Catalytic Materials and Reaction Engineering School of Chemistry and Chemical EngineeringHefei University of TechnologyHefei 230009China

Conductive fibers(CFs)with features of high conductivity,stretchability,self-healability,and electromechanical stability are key components of the increasingly popular wearable ***,since the lack of structural design of conductive network and interfacial interaction between soft polymer and conductive additives,it is still hard to enable CFs to meet above ***,we describe a facial drawing method from a hydrogel reservoir which is remolded into ultrathin and stretchable CFs with excellent multi-responsive *** hydrogel reservoir was fabricated in synergy.of an ice-templating method and in situ polymerization using the assembled framework as a *** on the effective fabrication mechanism,the diameter of CFs could be well-tuned from 90 to 400μm by adjusting the dipping depth of the glass rod,accompanied with conductivity increased from 0.75 to 2.5 S/*** the hierarchical network structure was well maintained in the CFs,professional performances have been proved on the stretchability and electromechanical *** presence of massive hydrogen bonding and Ag–S bond enabled the CFs with excellent self-healability under the conditions of contact,electric field,and near infrared light,***,the CFs with high sensing property could be integrated into an advanced textile sensor through an effective healing-induced integration strategy,demonstrating its great potentials as superior two-dimensional(2D)electronic skins.

关键词： conductive fibers self-assembled silver nanowires Ag–S coordination self-healing flexible sensors

Liquefaction susceptibility and deformation characteristics of saturated coral sandy soils subjected to cyclic loadings-a critical review

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Earthquake Engineering and Engineering Vibration 2024年第1期23卷 261-296页

作者： Chen Guoxing qin you Ma Weijia Liang Ke wu Qi C.Hsein Juang Institute of Geotechnical Engineering Nanjing Tech UniversityNanjing 210009China Civil Engineering and Earthquake Disaster Prevention Center of Jiangsu Province Nanjing 210009China School of Mechanical Engineering Nanjing University of Science and TechnologyNanjing 210094China College of Civil Aviation Nanjing University of Aeronautics and AstronauticsNanjing 210016China Glenn Department of Civil Engineering Clemson UniversityClemsonSC 29634USA

Coral sandy soils widely exist in coral island reefs and seashores in tropical and subtropical *** to the unique marine depositional environment of coral sandy soils,the engineering characteristics and responses of these soils subjected to monotonic and cyclic loadings have been a subject of intense interest among the geotechnical and earthquake engineering *** paper critically reviews the progress of experimental investigations on the undrained behavior of coral sandy soils under monotonic and cyclic loadings over the last three *** focus of coverage includes the contractive-dilative behavior,the pattern of excess pore-water pressure(EPWP)generation and the liquefaction mechanism and liquefaction resistance,the small-strain shear modulus and strain-dependent shear modulus and damping,the cyclic softening feature,and the anisotropic characteristics of undrained responses of saturated coral sandy *** particular,the advances made in the past decades are reviewed from the following aspects:(1)the characterization of factors that impact the mechanism and patterns of EPWP build-up;(2)the identification of liquefaction triggering in terms of the apparent viscosity and the average flow coefficient;(3)the establishment of the invariable form of strain-based,stress-based,or energy-based EPWP ratio formulas and the unique relationship between the new proxy.of liquefaction resistance and the number of cycles required to reach liquefaction;(4)the establishment of the invariable form of the predictive formulas of small strain modulus and strain-dependent shear modulus;and(5)the investigation on the effects of stress-induced anisotropy.on liquefaction susceptibility and dynamic deformation *** gained through the critical review of these advances in the past decades offer a perspective for future research to further resolve the fundamental issues concerning the liquefaction mechanism and responses of coral sandy sites subjecte

关键词： liquefaction susceptibility dynamic deformation characteristics coral sandy soil cyclic loading review and prospect

Stress corrosion cracking behavior of buried oil and gas pipeline steel under the coexistence of magnetic field and sulfate-reducing bacteria

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Petroleum Science 2024年第2期21卷 1320-1332页

作者： Jian-yu He Fei Xie Dan Wang Guang-Xin Liu Ming wu yue qin College of Petroleum Engineering Liaoning Petrochemical UniversityFushun113001LiaoningChina Key Laboratory.of oil and Gas Storage and Transportation Technology in Liaoning Province Fushun113001LiaoningChina State Key Joint Laboratory.of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing100084China PipeChina West East Gas Pipeline Company Shanghai200120China

Magnetic field and microorganisms are important factors influencing the stress corrosion cracking(SCC)of buried oil and gas pipelines. once SCC occurs in buried pipelines, it will cause serious hazards to the soil environment. The SCC behavior of X80 pipeline steel under the magnetic field and sulfate-reducing bacteria(SRB) environment was investigated by immersion tests, electrochemical tests, and slow strain rate tensile(SSRT) tests. The results showed that the corrosion and SCC sensitivity.of X80 steel decreased with increasing the magnetic field strength in the sterile environment. The SCC sensitivity was higher in the biotic environment inoculated with SRB, but it also decreased with increasing magnetic field strength, which was due to the magnetic field reduces microbial activity and promotes the formation of dense film layer. This work provided theoretical guidance on the prevention of SCC in pipeline steel under magnetic field and SRB coexistence.

关键词： Magnetic field Sulfate-reducing bacteria Film layer Stress corrosion cracking oil and gas pipelines

CrossLinkNet: An Explainable and Trustworthy AI Framework for Whole-Slide Images Segmentation

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Computers, Materials & Continua 2024年第6期79卷 4703-4724页

作者： Peng Xiao Qi Zhong Jingxue Chen Dongyuan wu Zhen qin Erqiang Zhou Network and Data Security Key Laboratory.of Sichuan Province University of Electronic Science and Technology of ChinaChengdu610054China Faculty.of Data Science City University of MacaoMacao999078China

In the intelligent medical diagnosis area,Artificial Intelligence(AI)’s trustworthiness,reliability,and interpretability are critical,especially in cancer *** neural networks,while excellent at processing natural images,often lack interpretability and adaptability when processing high-resolution digital pathological *** limitation is particularly evident in pathological diagnosis,which is the gold standard of cancer diagnosis and relies on a pathologist’s careful examination and analysis of digital pathological slides to identify the features and progression of the ***,the integration of interpretable AI into smart medical diagnosis is not only an inevitable technological trend but also a key to improving diagnostic accuracy and *** this paper,we introduce an innovative Multi-Scale Multi-Branch Feature Encoder(MSBE)and present the design of the CrossLinkNet *** MSBE enhances the network’s capability for feature extraction by allowing the adjustment of hyperparameters to configure the number of branches and *** CrossLinkNet Framework,serving as a versatile image segmentation network architecture,employs cross-layer encoder-decoder connections for multi-level feature fusion,thereby enhancing feature integration and segmentation *** quantitative and qualitative experiments on two datasets demonstrate that CrossLinkNet,equipped with the MSBE encoder,not only achieves accurate segmentation results but is also adaptable to various tumor segmentation tasks and scenarios by replacing different feature ***,CrossLinkNet emphasizes the interpretability.of the AI model,a crucial aspect for medical professionals,providing an in-depth understanding of the model’s decisions and thereby enhancing trust and reliability in AI-assisted diagnostics.

关键词： Explainable AI security trustworthy CrossLinkNet whole slide images

A Review of the Application of Artificial Intelligence in orthopedic Diseases

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Computers, Materials & Continua 2024年第2期78卷 2617-2665页

作者： Xinlong Diao Xiao Wang Junkang qin qinmu wu Zhiqin He Xinghong Fan Department of Electrical Engineering Guizhou UniversityGuiyangChina

In recent years,Artificial Intelligence(AI)has revolutionized people’s *** has long made breakthrough progress in the field of ***,the research on the application of AI in orthopedics is still in the exploratory *** paper first introduces the background of AI and orthopedic diseases,addresses the shortcomings of traditional methods in the detection of fractures and orthopedic diseases,draws out the advantages of deep learning and machine learning in image detection,and reviews the latest results of deep learning and machine learning applied to orthopedic image detection in recent years,describing the contributions,strengths and weaknesses,and the direction of the future improvements that can be made in each ***,the paper also introduces the difficulties of traditional orthopedic surgery and the roles played by AI in preoperative,intraoperative,and postoperative orthopedic surgery,scientifically discussing the advantages and prospects of AI in orthopedic ***,the article discusses the limitations of current research and technology in clinical applications,proposes solutions to the problems,and summarizes and outlines possible future research *** main objective of this review is to inform future research and development of AI in orthopedics.

关键词： Artificial intelligence orthopedics image detection deep learning machine learning diagnostic disease robotics

Sparse antenna array design methodologies:A review

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Journal of Electronic Science and Technology 2024年第3期22卷 1-15页

作者： Pan wu yan-Hui Liu Zhi-qin Zhao qing-Huo Liu School of Electronic Science and Engineering University of Electronic Science and Technology of ChinaChengdu611731China Eastern Institute of Technology Ningbo315200China

Designing a sparse array with reduced transmit/receive modules(TRMs)is vital for some applications where the antenna system’s size,weight,allowed operating space,and cost are *** arrays exhibit distinct architectures,roughly classified into three categories:Thinned arrays,nonuniformly spaced arrays,and clustered *** numerous advanced synthesis methods have been presented for the three types of sparse arrays in recent years,a comprehensive review of the latest development in sparse array synthesis is *** work aims to fill this gap by thoroughly summarizing these *** study includes synthesis examples to facilitate a comparative analysis of different techniques in terms of both accuracy and ***,this review is intended to assist researchers and engineers in related fields,offering a clear understanding of the development and distinctions among sparse array synthesis techniques.

关键词： Clustered array Nonuniformly spaced array Sparse antenna array Synthesis method Thinned array

A machine learning-based strategy for predicting the mechanical strength of coral reef limestone using X-ray computed tomography

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第7期16卷 2790-2800页

作者： Kai wu qingshan Meng Ruoxin Li Le Luo qin Ke ChiWang Chenghao Ma State Key Laboratory.of Geomechanics and Geotechnical Engineering Institute of Rock and Soil MechanicsChinese Academy of SciencesWuhan430071China University.of Chinese Academy.of Sciences Beijing100049China State Key Laboratory.of Water Resources and Hydropower Engineering Science Institute of Engineering Risk and Disaster PreventionWuhan UniversityWuhan430072China

Different sedimentary zones in coral reefs lead to significant anisotropy in the pore structure of coral reef limestone(CRL),making it difficult to study mechanical *** X-ray computed tomography(CT),112 CRL samples were utilized for training the support vector machine(SVM)-,random forest(RF)-,and back propagation neural network(BPNN)-based models,***,the machine learning model was embedded into genetic algorithm(GA)for parameter optimization to effectively predict uniaxial compressive strength(UCS)of *** indicate that the BPNN model with five hidden layers presents the best training effect in the data set of *** SVM-based model shows a tendency to overfitting in the training set and poor generalization ability in the testing *** RF-based model is suitable for training CRL samples with large *** of Pearson correlation coefficient matrix and the percentage increment method of performance metrics shows that the dry density,pore structure,and porosity.of CRL are strongly correlated to ***,the P-wave velocity is almost uncorrelated to the UCS,which is significantly distinct from the law for homogenous *** addition,the pore tensor proposed in this paper can effectively reflect the pore structure of coral framework limestone(CFL)and coral boulder limestone(CBL),realizing the quantitative characterization of the heterogeneity and anisotropy.of *** pore tensor provides a feasible idea to establish the relationship between pore structure and mechanical behavior of CRL.

关键词： Coral reef limestone(CRL) Machine learning Pore tensor X-ray computed tomography(CT)

oral delivery.of insulin by barbed microneedles actuated by intestinal peristalsis

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Chinese Chemical Letters 2024年第9期35卷 6-8页

作者： qin yu Haisheng He Jianping Qi yi Lu Wei wu Shanghai Skin Disease Hospital Tongji University School of MedicineShanghai 200443China Key Laboratory.of Smart Drug Delivery.of MoE School of PharmacyFudan UniversityShanghai 201203China

oral formulations are always preferred to injections due to the advantages of high patient compliance,no biohazardous needle waste,and low requirements for administration ***,the presence of multiple gastrointestinal(GI)barriers,including extreme gastric acidity and a broad pH gradient,digestive enzymes,thick and variable mucus layers,and tight junctions in the enteric epithelia,restricts the rate and extent of oral *** active ingredients with favorable physicochemical properties.

关键词： needle extreme formulation