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Ef.ect of.Wave Nonlinearity on the Instantaneous Seabed Liquef.ction

China Ocean Engineering 2024年第1期38卷 93-103页

作者： WANG Zhao-jun SUI ti-ti ZHANG Chi PAN Jun-ning Key Laboratory of.Port Waterway and Sedimentation Engineering of the Ministry of TransportNanjing Hydraulic Research InstituteNanjing 210024China Key Laboratory of.Coastal Disaster and Protection(Hohai University) Ministry of EducationNanjing 210098China The National Key Laboratory of.Water Disaster Prevention Nanjing 210098China

The nonlinear variation of.wave is commonly seen in nearshore area,and the resulting seabed response and liquef.ction are of.high concern to coastal *** this study,an analytical f.rmula considering the nonlinear wave skewness and asymmetry is adopted to provide wave pressure on the seabed *** liquef.ction depth attenuation coef.icient and width growth coef.icient are def.ned to quantitatively characterize the nonlinear ef.ect of.wave on seabed *** on the 2D f.ll dynamic model of.wave-induced seabed response,a detailed parametric study is carried out in order to evaluate the inf.uence of.the nonlinear variation of.wave loadings on seabed ***,new empirical prediction f.rmulas are proposed to f.st predict the maximum liquef.ction under nonlinear *** indicate that(1)Due to the inf.uence of.wave nonlinearity,the vertical transmission of.negative pore water pressure in the seabed is hindered,and theref.re,the amplitude decreases signif.cantly.(2)In general,with the increase of.wave nonlinearity,the liquef.ction depth of.seabed decreases *** under asymmetric and skewed wave loading,the attenuation of.maximum seabed liquef.ction depth is the most signif.cant among all the nonlinear wave ***,highly skewed wave can cause the liquef.ction depth of.seabed greater than that under linear wave.(3)The asymmetry of.wave pressure leads to the increase of.liquef.ction width,whereas the inf.uence of.skewedness is not signif.cant.(4)Compared with the nonlinear wavef.rm,seabed liquef.ction is more sensitive to the variation of.nonlinear degree of.wave loading.

关键词： nonlinear wave seabed response seabed liquef.ction numerical simulation liquef.ction prediction

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Tumor microenvironment reprogramming by nanomedicine to enhance the ef.ect of.tumor immunotherapy

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Asian Journal of.Pharmaceutical Sciences 2024年第2期19卷 1-37页

作者： Yu Huang Hui f.n Huihui ti School of.Chinese materia Medica Guangdong Pharmaceutical UniversityGuangzhou 510006China Guangdong Province Precise Medicine Big Date of.Traditional Chinese Medicine Engineering Technology Research Center Guangdong Pharmaceutical UniversityGuangzhou 510006China School of.Pharmacy Guangdong Pharmaceutical UniversityGuangzhou 510006China

With the rapid development of.the f.elds of.tumor biology and immunology, tumor immunotherapy has been used in clinical practice and has demonstrated signif.cant therapeutic potential, particularly f.r treating tumors that do not respond to standard treatment options. Despite its advances, immunotherapy still has limitations, such as poor clinical response rates and dif.erences in individual patient responses, largely because tumor tissues have strong immunosuppressive microenvironments. many tumors have a tumor microenvironment (TME) that is characterized by hypoxia, low pH, and substantial numbers of.immunosuppressive cells, and these are the main f.ctors limiting the ef.icacy of.antitumor immunotherapy. The TME is crucial to the occurrence, growth, and metastasis of.tumors. Theref.re, numerous studies have been devoted to improving the ef.ects of.immunotherapy by remodeling the TME. Ef.ective regulation of.the TME and reversal of.immunosuppressive conditions are ef.ective strategies f.r improving tumor immunotherapy. The use of.multidrug combinations to improve the TME is an ef.icient way to enhance antitumor immune ef.icacy. However, the inability to ef.ectively target drugs decreases therapeutic ef.ects and causes toxic side ef.ects. Nanodrug delivery carriers have the advantageous ability to enhance drug bioavailability and improve drug targeting. Importantly, they can also regulate the TME and deliver large or small therapeutic molecules to decrease the inhibitory ef.ect of.the TME on immune cells. Theref.re, nanomedicine has great potential f.r reprogramming immunosuppressive microenvironments and represents a new immunotherapeutic strategy. Theref.re, this article reviews strategies f.r improving the TME and summarizes research on synergistic nanomedicine approaches that enhance the ef.icacy of.tumor immunotherapy.

关键词： Tumor immunotherapy Tumor micr oenvir onment Nanomedicine Tumor repr ogramming

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Analytical libration control law f.r electrodynamic tether system with current constraint

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Astrodynamics 2024年第2期8卷 237-246页

作者： Shidong Xu ti Chen Hao Wen Dongping Jin State Key Laboratory of.Mechanics and Control f.r Aerospace Structures Nanjing University of Aeronautics and AstronauticsNanjing210016China

This study f.cuses on stabilizing the libration dynamics of.an electrodynamic tether system(EDTS)using generalized torques induced by the Lorentz *** contrast to existing numerical optimization methods,a novel analytical f.edback control law is developed to stabilize the in-plane and out-of.plane motions of.a tether by modulating the electric current *** saturation constraint on the current is accounted f.r by adding an auxiliary dynamic system to the *** enhance the robustness of.the proposed controller,multiple perturbations of.the orbital dynamics,modeling uncertainties,and external disturbances are approximated using a neural network in which the weighting matrix and approximation error are estimated simultaneously,such that these perturbations are well compensated f.r during the control design of.the ***,a dynamically scaled generalized inverse is utilized to address the singular matrix in the control *** closed-loop system is proven to be ultimately bounded based on Lyapunov stability ***,numerical simulations are perf.rmed to demonstrate the ef.ectiveness of.the proposed analytical control law.

关键词： electrodynamic tether system(EDTS) libration dynamics analytical control current constraint

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Cyber-physical Collaborative Restoration Strategy f.r Power Transmission System Considering maintenance Scheduling

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CSEE Journal of.Power and Energy Systems 2024年第3期10卷 1331-1341页

作者： Baozhong ti Chuanyun Zhang Jingf.i Liu Zhaoyuan Wu Ziyang Huang North China Branch of.State Grid Corporation of.China Beijing 100053China State Grid Beijing Electric Power Company Beijing 100031China State Key Laboratory of.Alternate Electrical Power System with Renewable Energy Sources School of Electrical and Electronic EngineeringNorth China Electric Power UniversityBeijing 102206China IEEE CSEE

In order to improve the ability of.power transmission system to cope with compound f.ults on the communication side and power side,a cyber-physical collaborative restoration strategy is ***,according to the inf.rmation system’s role in f.ult diagnosis,remote control of.equipment maintenance and automatic output adjustment of.generator restoration,a cyber-physical coupling model is *** this basis,a collaborative restoration model of.power transmission system is established by studying interactions among maintenance schedule paths,inf.rmation system operation,and power system *** on power f.ow linearization and the large M-ε method,the above model is transf.rmed into a mixed integer linear programming model,whose computational burden is reduced f.rther by the clustering *** to the parameters of.IEEE39 New England system,the geographic wiring diagram of.the cyber-physical system is *** results show the proposed restoration strategy can consider the support f.nction of.the inf.rmation system and space-time coordination of.equipment maintenance at both sides comprehensively to speed up load recovery progress.

关键词： Clustering method collaborative restoration cyber-physical power system maintenance scheduling power transmission system restoration

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Network Conf.guration Entity Extraction Method Based on Transf.rmer with Multi-Head Attention Mechanism

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Computers, materials & Continua 2024年第1期78卷 735-757页

作者： Yang Yang Zhenying Qu Zef.n Yan Zhipeng Gao ti Wang State Key Laboratory of.Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing100876China Product Development Department China Unicom Smart City Research InstituteBeijing100044China

Nowadays,ensuring thequality of.networkserviceshas become increasingly *** are turning toknowledge graph technology,with a signif.cant emphasis on entity extraction in the identif.cation of.device *** research paper presents a novel entity extraction method that leverages a combination of.active learning and attention ***,an improved active learning approach is employed to select the most valuable unlabeled samples,which are subsequently submitted f.r expert *** approach successf.lly addresses the problems of.isolated points and sample redundancy within the network conf.guration sample *** the labeled samples are utilized to train the model f.r network conf.guration entity ***,the multi-head self.attention of.the transf.rmer model is enhanced by introducing the Adaptive Weighting method based on the Laplace mixture *** enhancement enables the transf.rmer model to dynamically adapt its f.cus to words in various positions,displaying exceptional adaptability to abnormal data and f.rther elevating the accuracy of.the proposed *** comparisons with Random Sampling(RANDOM),maximum Normalized Log-Probability(MNLP),Least Conf.dence(LC),Token Entrop(TE),and Entropy Query by Bagging(EQB),the proposed method,Entropy Query by Bagging and maximum Inf.uence Active Learning(EQBMIAL),achieves comparable perf.rmance with only 40% of.the samples on both datasets,while other algorithms require 50% of.the ***,the entity extraction algorithm with the Adaptive Weighted Multi-head Attention mechanism(AW-MHA)is compared with BILSTM-CRf.Mutil_Attention-Bilstm-Crf.Deep_Neural_Model_NER and BERT_Transf.rmer,achieving precision rates of.75.98% and 98.32% on the two datasets,*** tests demonstrate the statistical signif.cance and ef.ectiveness of.the proposed algorithms in this paper.

关键词： Entity extraction network conf.guration knowledge graph active learning transf.rmer

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Mechanical response of.a tunnel subjected to strike-slip f.ulting processes,based on a multi-scale modeling method

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f.ontiers of.Structural and Civil Engineering 2024年第8期18卷 1281-1295页

作者： Guoguo LIU Ping GENG tianqiang WANG Xiangyu GUO Jiaxiang WANG ti DING Key Laboratory of.Transportation Tunnel Engineering Ministry of EducationChengdu 610031China College of.Civil Engineering Huaqiao UniversityXiamen 361021China China Railway Design Corporation Tianjin 300308China

The stick-slip action of.strike-slip f.ults poses a signif.cant threat to the saf.ty and stability of.underground *** this study,the north-east area of.the Longmenshan f.ult,Sichuan,provides the geological background;the rheological characteristics of.the crustal lithosphere and the nonlinear interactions between plates are described by Burger’s viscoelastic constitutive model and the f.iction constitutive model,respectively.A large-scale global numerical model f.r plate squeezing analysis is established,and the seemingly periodic stick-slip action of.f.ults at dif.erent crust depths is *** a second model at a smaller scale,a local f.nite element model(sub-model),the time history of.displacement at a ground level location on the Longmenshan f.ult plane in a stick-slip action is considered as the displacement *** integration of.these models,creating a multi-scale modeling method,is used to evaluate the crack propagation and mechanical response of.a tunnel subjected to strike-slip *** determinations of.the recurrence interval of.stick-slip action and the cracking characteristics of.the tunnel are in substantial agreement with the previous f.eld investigation and experimental results,validating the multi-scale modeling *** can be concluded that,regardless of.stratum stif.ness,initial cracks f.rst occur at the inverted arch of.the tunnel in the f.otwall,on the squeezed side under strike-slip *** smaller the stratum stif.ness is,the smaller the included angle between the crack expansion and longitudinal direction of.the tunnel,and the more extensive the crack expansion *** the tunnel in a high stif.ness stratum,both shear and bending f.ilures occur on the lining under strike-slip f.ulting,while f.r that in the low stif.ness stratum,only bending f.ilure occurs on the lining.

关键词： stick-slip action plate squeezing analysis multi-scale modeling method lining cracking mechanical response

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Optoelectronic tuning of.plasmon resonances via optically modulated hot electrons

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National Science Review 2024年第05期 134-141页

作者： Jiacheng Yao Cheng Wang Chi Zhang Song ma Li Zhou ti Wang Ququan Wang Hongxing Xu Tao Ding Key Laboratory of.Artif.cial Micro Nano Structure of Ministry of Education School of Physics and Technology Wuhan University Department of.Physics Southern University of Science and Technology

f.st optical modulation of.nanoplasmonics is f.ndamental f.r on-chip integration of.all-optical *** various strategies have been proposed f.r dynamic modulation of.surf.ce plasmons, critical issues of.device compatibility and extremely low ef.iciency in the visible spectrum hamper the application of.optoplasmonic nanochips. Here we establish an optoplasmonic system based on Au@Cu2–xS hybrid core–shell nanoparticles. The optical excitation of.hot electrons and their charge transf.r to the semiconductor coating(Cu2–xS) lead to lowered electron density of.Au, which results in the red shif. of.the localized surf.ce plasmon resonance. The hot electrons can also transport through the Cu2–xS layer to the metal substrate, which increases the conductance of.the nanogap. As such, the coupled gap plasmon blue-shif.s with a magnitude of.up to ～15 nm, depending on the excitation power and the thickness of.the coatings, which agrees with numerical simulations. All of.this optoelectronic tuning process is highly reversible, controllable and f.st with a modulated laser beam, which is highly compatible and suf.iciently usef.l f.r on-chip integration of.nanophotonic devices.

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Unif.rm decomposition of.velocity gradient tensor

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Journal of.Hydrodynamics 2024年第1期36卷 24-34页

作者： Chenxi ma Chaoqun Liu Department of.mathematics University of Texas at ArlingtonArlingtonTXUSA

In this paper,the principal decomposition of.the velocity gradient tensor[∇v]is discussed in 3 cases based on the discriminant∆:∆0 with 3 distinct real eigen values,and∆=0 with 1 or 2 distinct real eigen *** velocity ... 详细信息

In this paper,the principal decomposition of.the velocity gradient tensor[∇v]is discussed in 3 cases based on the discriminant∆:∆f.conjugate complex eigen values,∆>0 with 3 distinct real eigen values,and∆=0 with 1 or 2 distinct real eigen *** velocity gradient tensor can also be classif.ed as rotation point,which can be decomposed into three parts,i.e.,rotation[R],shear[S]and stretching/compression[SC],and non-rotation point,we def.ned a new resistance term[L],and the tensor can be decomposed into three parts,i.e.,resistance[L],shear[S]and stretching/compression[SC].Example matric are also displayed to demonstrate the new *** of.principal decomposition between 3 dif.erent cases,and between Resistance and Liutex will also be discussed.

关键词： Velocity gradient Liutex resistance f.uid kinematics

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VOC emitted by biopharmaceutical industries:Source prof.les,health risks,and secondary pollution

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Journal of.Environmental Sciences 2024年第1期135卷 570-584页

作者： Jiawei ma Lin Li State Key Laboratory of.Environmental Aquatic Chemistry Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China University of.Chinese Academy of.Sciences Beijing 100049China National Engineering Laboratory f.r VOCs Pollution Control material&Technology University of Chinese Academy of SciencesBeijing 101408China

The biopharmaceutical industry contributes substantially to volatile organic compounds(VOCs)emissions,causing growing concerns and social developmental *** study conducted an on-site investigation of.the process-based emission of.VOCs f.om three biopharmaceutical *** the workshops of.the three enterprises,26 VOCs were detected,which could be sorted into 4 classes:hydrocarbons,aromatic hydrocarbons,oxygen-containing compounds,and nitrogen-containing *** were the main components of.waste gases,accounting f.r 44.13%-77.85%of.the overall ***-based source prof.les were compiled f.r each process unit,with the f.rmentation and extraction units of.tiamulin f.marate being the main source of.VOC *** heptanone,vinyl acetate,diethylamine,propylene glycol methyl ether(PGME),and benzene were screened as priority pollutants through a f.zzy comprehensive evaluation *** level concentration simulation results of.the Gauss plume dif.usion model demonstrated that the dif.usivity of.VOCs in the atmosphere was relatively high,indicating potential non-carcinogenic and carcinogenic risks 1.5-2 km ***,the process-based f.rmation potentials of.ozone and secondary organic aerosols(SOAs)were determined and indicated that N-methyl-2-pyrrolidone,dimethyl heptanone,and PGME should be pref.rentially controlled to reduce the ozone f.rmation potential,whereas the control of.benzene and chlorobenzene should be prioritized to reduce the generation of.*** results provide a basis f.r understanding the characteristics of.VOC emission by biopharmaceutical industries and their dif.usion,potentially allowing the development of.measures to reduce health risks and secondary pollution.

关键词： Biopharmaceutical Volatile organic compound Priority pollutant Exposure risk Secondary pollution

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Deterministic and Robust Volt-var Control Methods of.Power System Based on Convex Deep Learning

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Journal of.Modern Power Systems and Clean Energy 2024年第3期12卷 719-729页

作者： Qing ma Changhong Deng the School of.Electrical Engineering and Automation Wuhan UniversityWuhanChina

Volt-var control(VVC)is essentially a non-convex optimization problem due to the non-convexity of.power f.ow(Pf.constraints,resulting in the dif.iculty in obtaining the optimum without convexity *** existing second-order cone method f.r the convexity conversion of.en leads to a sharp increase in Pf.constraints and optimization variables,which in turn increases the optimization dif.iculty or even leads to optimization *** paper f.rst proposes a deterministic VVC method based on convex deep learning power f.ow(DLPf..This method uses the input convex neural network(ICNN)to establish a single convex mapping between state parameters and node voltage to complete the convexity conversion while the optimization variables only correspond to reactive power equipment,which can ensure the global optimum with extremely f.st computation *** cope with the impact brought by the uncertainty of.distributed energy and omit the additional worst scenario search of.traditional robust VVC,this paper proposes robust VVC method based on convex deep learning interval power f.ow(DLIPf.,which continues to adopt ICNN to establish another convex mapping between state parameters and node voltage *** DLIPf.with DLPf.this method decreases the modeling and optimization dif.iculty of.robust VVC *** results on 30-bus,118-bus,and 200-bus systems prove the correctness and rapidity of.the proposed methods.

关键词： Volt-var control convexity conversion convex deep learning power f.ow

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