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The Similarity Transformation of Regularizing Functionals and Simularity Property of Their Fourier Transformations 认领 引用
1
作者 祝同江 《Journal of Beijing Institute of Technology》 EI CAS 1995年第2期105+99-105,共106页
Let and denote respectively the functionswhere λ≥1, The author discusses the similarity transformation of the regularizing functionals of these functions and the similar property of their Fourier transformation.
关键词 Fourier transform generalized functions/similarity transformation regularizing functionals
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The Summary of Regularizing Methods in the Recovery of Pelvis-Originate New Traditional Chinese Medicine on Seeking New Medic 认领 引用
2
作者 Su Weizheng 《中国针灸》 CAS 北大核心 1995年第S2期391-392,共2页
TheSummaryofRegularizingMethodsintheRecoveryofPelvis－OriginateNewTraditionalChineseMedicineonSeekingNewMedicalSysytemofCombin...
关键词 Traditional Regular Origin Chinese
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Depth-Domain Tomographic Velocity model building 认领 引用
3
作者 Hao Zheng Guo-Fa Li +2 位作者 Jiang-Hua Zhang Kai Guo Jie-Xiong Cai 《Applied Geophysics》 SCIE CSCD 2026年第2期774-789,872,共16页
As a classical method to solve the ill-posed problem in tomographic inversion,model regularization effectively enhances inversion stability and adaptability to complex geological structures by incorporating prior info... As a classical method to solve the ill-posed problem in tomographic inversion,model regularization effectively enhances inversion stability and adaptability to complex geological structures by incorporating prior information.Focusing on depth-domain tomographic velocity modeling,this paper systematically compares the diff erences in the application between Tikhonov regularization and preconditioned regularization,optimizes the model regularization method suitable for depth-domain model building,and further proposes a preconditioned model regularization algorithm based on the structure tensor.First,the structure tensor is utilized to extract structural prior information,which is then combined with the preconditioned regularization to construct a prior constraint term.Subsequently,the conjugate gradient(CG)method is employed to effi ciently solve the tomographic matrix equations.Synthetic data tests demonstrate that the proposed method can accurately locate geological boundaries and fault positions in complex geological models,and precisely invert velocity anomalies in structural zones.In fi eld data applications,the accuracy of the velocity model inverted by this method is signifi cantly improved,leading to a remarkable enhancement in imaging quality for complex structural areas.These results indicate that the structure tensor-guided preconditioned regularization method possesses both high resolution and strong robustness,thereby providing more reliable technical support for depth-domain tomographic velocity model building in complex structural regions. 展开更多
关键词 Tomographic inversion Tikhonov regularization Preconditioned regularization Structure tensor Prior information constraint
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Optimized iterative shrinkage threshold generalized inverse beamforming for sound source localization 认领 引用
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作者 Huihui He Xinyu Wang +2 位作者 Zeyu Yang Xiaofei Wu Shengguo Shi 《Chinese Physics B》 SCIE EI CAS CSCD 2026年第5期464-475,共12页
This work addresses underwater noise source localization.Leveraging the spatial sparsity of sound sources,we employ an optimized iterative shrinkage-thresholding generalized inverse beamforming(OISTA-GIB)method to loc... This work addresses underwater noise source localization.Leveraging the spatial sparsity of sound sources,we employ an optimized iterative shrinkage-thresholding generalized inverse beamforming(OISTA-GIB)method to localize noise sources.Firstly,the sparsity of sound sources is exploited by introducing the λ1norm,resulting in an objective function that combines the λ1norm,with generalized inverse beamforming.This function is solved using an iterative shrinkage-thresholding algorithm(ISTA)to obtain sound source positions.Secondly,we note that when ISTA solves this objective function,the penalty strength applied by the identity matrix to all scanning points on the sound source surface is uniform.This uniformity reduces positioning accuracy.To enhance localization accuracy and spatial resolution,we propose an iterative regularization matrix-optimized ISTA to solve the objective function.Here,the result from the previous iteration is used to construct a regularization matrix that increases the penalty strength in non-source regions during the current iteration.This process iteratively narrows the mainlobe width in source regions until termination conditions are met,yielding refined sound source positions.Finally,simulations and experimental data processing show that the proposed OISTA-GIB method achieves higher accuracy and spatial resolution in noise source localization compared to existing methods. 展开更多
关键词 generalized inverse beamforming iterative regularization matrix iterative shrinkage threshold fast iterative shrinkage threshold
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FTCSEM—A FORTRAN-based parallelized 1D CSEM forward and inversion program for arbitrary source-receiver geometry 认领 引用
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作者 Wei-ying Chen Si-xu Han +2 位作者 Wan-ting Song Yu-lian Zhu Zheng Liu 《Applied Geophysics》 SCIE CSCD 2026年第2期693-709,870,共17页
This study introduces FTCSEM,a FORTRAN-based,parallelized one-dimensional controlledsource electromagnetic(CSEM)forward modeling and inversion software capable of accommodating arbitrary source-receiver confi guration... This study introduces FTCSEM,a FORTRAN-based,parallelized one-dimensional controlledsource electromagnetic(CSEM)forward modeling and inversion software capable of accommodating arbitrary source-receiver confi gurations.In comparison to existing one-dimensional CSEM tools,FTCSEM incorporates several signifi cant enhancements:it supports transmitters of diverse shapes,quantities,and spatial locations;permits receivers to be positioned flexibly on the surface,subsurface,or in the atmosphere;facilitates simulations and inversions in both frequency and time domains;integrates an adaptive regularized inversion algorithm with multiple model constraints;and leverages GPU-accelerated parallel computing to attain high computational efficiency.Validation through numerical experiments and field data inversion confirms the program’s accuracy and practical applicability.The findings indicate that FTCSEM performs robustly in complex geoelectric environments,multi-source and multi-receiver arrangements,as well as multi-component joint inversion scenarios,thereby offering a versatile and powerful tool for advancing CSEM research and applications. 展开更多
关键词 CSEM forward modeling regularized inversion parallel computing program
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Full-waveform inversion constrained by adaptive sonic logging data within a Bayesian framework 认领 引用
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作者 Jing Wang Qing-Qing Li +2 位作者 Li-Jun Gao Zong-Jie Li Li-Yun Fu 《Petroleum Science》 SCIE EI CAS CSCD 2026年第1期205-219,共15页
The full waveform inversion(FWI)utilizes full wave field data to invert subsurface parameters and is considered one of the most promising data-driven tools for obtaining high precision velocity models.However,the succ... The full waveform inversion(FWI)utilizes full wave field data to invert subsurface parameters and is considered one of the most promising data-driven tools for obtaining high precision velocity models.However,the successful application of FWI in geophysical explo ration remains limited,primarily due to the cycle-skipping issue caused by the absence of low-frequency data,which is one of the main reasons for FWI failures.Incorporating prior regularization constraints FWI can effectively compensate for the lacking low-frequency components and constrain the iterative updates of FWI toward the desired direction,offering a natural advantage in addressing this challenge.However,the weights of the prior information terms are still determined empirically,which introduces significant subjectivity and randomness to the inversion results.To solve this issue,we propose an adaptive method to determine the weight factor based on posterior probability distribution within the Bayesian theoretical framework.This factor adaptively adjusts during each iteration to balance the contributions of the data error term and the prior information term in FWI,which can effectively mitigate the cycle-skipping problem and alleviating the nonlinearity of the inversion process.Numerical examples from the Overthrust model and the Marmousi model show that our method not only enhance the accuracy of FWI,but also demonstrate strong noise resistance. 展开更多
关键词 Full waveform inversion Low-frequency data Sonic logging data Adaptive prior regularization
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Phase-based polarized direct envelope inversion with total variation regularization for simultaneous source seismic data:Application to SEG 2014 Chevron blind test dataset 认领 引用
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作者 Yong Hu Xi-Zhu Guan +2 位作者 Li-Yun Fu Yi-Bo Wang Ru-Shan Wu 《Petroleum Science》 SCIE EI CAS CSCD 2026年第6期3248-3269,共22页
In subsalt hydrocarbon exploration,the strong velocity contrast associated with salt structures poses significant challenges to conventional full waveform inversion(FWI)method.While direct envelope inversion can inver... In subsalt hydrocarbon exploration,the strong velocity contrast associated with salt structures poses significant challenges to conventional full waveform inversion(FWI)method.While direct envelope inversion can invert large-scale salt dome,it fails to invert the salt-bottom velocity structures due to the absence of waveform phase information.To solve this problem,we first use a sliding Gaussian window to decompose seismic data into the local scale waveform.Subsequently,we combine the local scale envelope signal with waveform instantaneous phase to obtain the polarity envelope.The resulting polarity envelope can invert low-frequency components while preserving the phase characteristics of seismic data,enabling more accurate low-wavenumber velocity structures.Based on this,we propose a phase-based polarized direct envelope inversion with total variation regularization for simultaneous source seismic data(simultaneous source TV-PDEI)to improve the accuracy of velocity inversion,remove the crosstalk noise,and enhance the computational efficiency.Numerical experiments on salt models and Chevron blind dataset test demonstrate that the simultaneous source TV-PDEI efficiently provides a robust initial velocity model for FWI. 展开更多
关键词 Full waveform inversion Direct envelope inversion Polarity envelope Chevron blind dataset test Total variation regularization
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HerbGL:a network propagation and graph regularization-based framework for herb pairs prediction in traditional Chinese medicine 认领 引用
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作者 Weixiang Liu Qian Yuan +3 位作者 Junjie Zhang Xinliang Sun Kongfa Hu Tao Yang 《Digital Chinese Medicine》 CAS CSCD 2026年第2期265-277,共13页
Objective To address the challenges of systematically identifying herb pairs in traditional Chinese medicine(TCM),we proposed HerbGL,a framework for predicting potential herb pairs that integrates network propagation ... Objective To address the challenges of systematically identifying herb pairs in traditional Chinese medicine(TCM),we proposed HerbGL,a framework for predicting potential herb pairs that integrates network propagation and graph regularization.Methods Based on the assumption that herbal actions induce subtle perturbations in biological systems,a framework named HerbGL was proposed.Random walk with restart(RWR)was first applied to the protein-protein interaction(PPI)network to reconstruct herb-specific perturbation effects and generate weighted subnetworks.Then,to quantify affinity between herb pairs,two network-proximity metrics,Closeness and PageRank,were computed from the weighted subnetworks to construct herb-pair affinity matrices.Finally,these matrices,together with known herb pairs(derived from co-occurrence analysis of TCM formulas with a threshold determined from the inflection point of the frequency distribution),were incorporated into a graph regularization model to predict potential herb pairs.Model performance was assessed through baseline comparison,ablation and robustness experiment under different ratios of positive and negative samples,using the area under the receiver operating characteristic curve(AUROC),the area under the precision-recall curve(AUPRC),accuracy,and precision as evaluation metrics.Furthermore,the predicted herb pairs were validated through both literature evidence and Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses.Results The weighted subnetworks constructed by RWR provided a refined simulation of herb-specific perturbation effects,which formed the basis for subsequent affinity modeling and prediction.Analysis of herb pair co-occurrence frequencies revealed a marked change around 150,which was selected as the threshold to distinguish herb pairs from non-herb pairs.HerbGL exhibited superior predictive performance compared with baseline models(AUROC=0.9705,AUPRC=0.9555,accuracy=0.7266,precision=0.9706).Ablation results showed that removing the Closeness and PageRank metrics substantially degraded performance(AUROC=0.8191,AUPRC=0.8768),confirming their necessity.Robustness evaluation under an imbalanced positive-to-negative sample ratio of 1:5 yielded AUROC=0.9696 and AUPRC=0.8404,indicating stable predictive ability.Moreover,multiple case studies further validated the rationality of the predicted herb pairs,such as Fangfeng(Saposhnikoviae Radix)and Qingpi(Citri Reticulatae Pericarpium Viride)which are recorded in Liangpeng Huiji(《良朋汇集》,Collection of Excellent Recipes)Vol.3:Fangfeng Shengma Tang(防风升麻汤).Additionally,pathway enrichment analysis of the Renshen(Ginseng Radix et Rhizoma)and Lianqiao(Forsythiae Fructus)pair further supported the biological plausibility of their compatibility.Conclusion HerbGL offers an effective and biologically informed framework for identifying herb pairs in TCM.Beyond improving herb pair prediction,the framework also provides data support for research on herb compounds and mechanisms,thereby supporting data-driven exploration of TCM compatibility. 展开更多
关键词 Traditional Chinese medicine Herb pair Network propagation Graph regularization Network pharmacology
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Federated Multi-Label Feature Selection via Dual-Layer Hybrid Breeding Cooperative Particle Swarm Optimization with Manifold and Sparsity Regularization 认领 引用
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作者 Songsong Zhang Huazhong Jin +5 位作者 Zhiwei Ye Jia Yang Jixin Zhang Dongfang Wu Xiao Zheng Dingfeng Song 《Computers, Materials & Continua》 SCIE EI 2026年第1期1141-1159,共19页
Multi-label feature selection(MFS)is a crucial dimensionality reduction technique aimed at identifying informative features associated with multiple labels.However,traditional centralized methods face significant chal... Multi-label feature selection(MFS)is a crucial dimensionality reduction technique aimed at identifying informative features associated with multiple labels.However,traditional centralized methods face significant challenges in privacy-sensitive and distributed settings,often neglecting label dependencies and suffering from low computational efficiency.To address these issues,we introduce a novel framework,Fed-MFSDHBCPSO—federated MFS via dual-layer hybrid breeding cooperative particle swarm optimization algorithm with manifold and sparsity regularization(DHBCPSO-MSR).Leveraging the federated learning paradigm,Fed-MFSDHBCPSO allows clients to perform local feature selection(FS)using DHBCPSO-MSR.Locally selected feature subsets are encrypted with differential privacy(DP)and transmitted to a central server,where they are securely aggregated and refined through secure multi-party computation(SMPC)until global convergence is achieved.Within each client,DHBCPSO-MSR employs a dual-layer FS strategy.The inner layer constructs sample and label similarity graphs,generates Laplacian matrices to capture the manifold structure between samples and labels,and applies L2,1-norm regularization to sparsify the feature subset,yielding an optimized feature weight matrix.The outer layer uses a hybrid breeding cooperative particle swarm optimization algorithm to further refine the feature weight matrix and identify the optimal feature subset.The updated weight matrix is then fed back to the inner layer for further optimization.Comprehensive experiments on multiple real-world multi-label datasets demonstrate that Fed-MFSDHBCPSO consistently outperforms both centralized and federated baseline methods across several key evaluation metrics. 展开更多
关键词 Multi-label feature selection federated learning manifold regularization sparse constraints hybrid breeding optimization algorithm particle swarm optimizatio algorithm privacy protection
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Determinants of polydoctoring among patients with multimorbidity:a Nationwide Longitudinal Fixed-Effects Study in Japan 认领 引用
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作者 Takayuki Ando Bhautesh D Jani +1 位作者 Junji Haruta Rei Goto 《Family Medicine and Community Health》 2026年第2期15-23,共9页
Objective To identify which chronic conditions and patient characteristics contribute to increases in the number of regularly visited facilities(RVF),a measure of polydoctoring,among adults with multimorbidity in Japa... Objective To identify which chronic conditions and patient characteristics contribute to increases in the number of regularly visited facilities(RVF),a measure of polydoctoring,among adults with multimorbidity in Japan.Design Retrospective cohort study using individual fixed-effects Poisson regression models to estimate within-person associations between the onset of each chronic condition and changes in RVF.This approach controlled for all time-invariant personal characteristics.Effect modification by age,geographic region and baseline multimorbidity was also assessed.Setting A nationwide health claims database covering multiple insurance systems in Japan,including municipal National Health Insurance,Employees’Health Insurance and the Long-Life Medical Care System.Participants 4696790 adults with two or more chronic conditions and two or more consecutive years of follow-up.Results The onset of examined chronic conditions was associated with changes in RVF,with substantial variation in effect size across conditions.The strongest association was observed for malignancy(RR=1.102;95%CI 1.101 to 1.103),followed by osteoporosis(RR=1.065;95%CI 1.064 to 1.065),arthritis(RR=1.061;95%CI 1.060 to 1.061),obesity(RR=1.049;95%CI 1.044 to 1.055),stroke(RR=1.044;95%CI 1.041 to 1.048)and cardiovascular disease(RR=1.043;95%CI 1.042 to 1.044).Associations between disease onset and RVF were consistently attenuated among individuals aged≥75 years and those with higher baseline multimorbidity while differences between urban and rural residents were minimal.Conclusion Substantial heterogeneity was observed in the magnitude of RVF increases across chronic conditions,with particularly strong associations for malignancy,osteoporosis and arthritis.Attenuated effects among older adults and individuals with higher multimorbidity suggest that patient capacity and treatment burden may influence patterns of healthcare utilisation.These findings underscore condition-specific drivers of care fragmentation and may inform more tailored care-coordination strategies for people living with multimorbidity. 展开更多
关键词 Polydoctoring chronic condition Patient Characteristics regularly visited facilities rvf Multimorbidity Malignancy RVF
Offline Generalized Actor-Critic With Distance Regularization 认领 引用
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作者 Huanting Feng Yuhu Cheng Xuesong Wang 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第1期57-71,共15页
In order to address the issue of overly conservative offline reinforcement learning(RL) methods that limit the generalization of policy in the out-of-distribution(OOD) region,this article designs a surrogate target fo... In order to address the issue of overly conservative offline reinforcement learning(RL) methods that limit the generalization of policy in the out-of-distribution(OOD) region,this article designs a surrogate target for OOD value function based on dataset distance and proposes a novel generalized Q-learning mechanism with distance regularization(GQDR).In theory,we not only prove the convergence of GQDR,but also ensure that the difference between the Q-value learned by GQDR and its true value is bounded.Furthermore,an offline generalized actor-critic method with distance regularization(OGACDR) is proposed by combining GQDR with actor-critic learning framework.Two implementations of OGACDR,OGACDR-EXP and OGACDRSQR,are introduced according to exponential(EXP) and opensquare(SQR) distance weight functions,and it has been theoretically proved that OGACDR provides a safe policy improvement.Experimental results on Gym-MuJoCo continuous control tasks show that OGACDR can not only alleviate the overestimation and overconservatism of Q-value function,but also outperform conservative offline RL baselines. 展开更多
关键词 Actor-critic distance regularization generalized Qlearning offline reinforcement learning out-of-distribution(OOD)
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Precursory changes in seismic processes before the 2025 MW7.7 Myanmar earthquake revealed in the equivalent dimension space 认领 引用
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作者 Stanisław Lasocki Beata Orlecka-Sikora Anastasios Kostoglou 《Earthquake Science》 CAS CSCD 2026年第3期339-354,共16页
We used the seismic regularity and seismic strain dynamics coefficients to investigate the seismic process preceding the 2025 M7.7 Myanmar earthquake,which ruptured the central portion of the Sagaing Fault.The analysi... We used the seismic regularity and seismic strain dynamics coefficients to investigate the seismic process preceding the 2025 M7.7 Myanmar earthquake,which ruptured the central portion of the Sagaing Fault.The analysis focused on a seismic cluster located between the Sagaing Fault and Sunda Trench over the ten years prior to the mainshock.In our approach,earthquakes are parameterized by magnitude,elapsed time since the previous event,and epicentral distance to the previous event.These parameters were transformed into equivalent dimensions,ensuring their comparability.The seismic regularity coefficient,which is the mean distance between earthquakes represented by these transformed parameters,acts as a proxy for the strain localization and rupture coherence.The seismic strain dynamics coefficient,which is defined as the logarithm of the ratio between the sum of the cube roots of the scalar seismic moments and the time span over which the events occurred,serves as a proxy for the average inelastic strain accumulation within the fault damage zone.Approximately 29 months before the mainshock,a precursory signal emerged in the seismic regularity coefficient time series.This signal decreased to a pronounced minimum approximately 26 months before the earthquake,followed by an increase to a distinct maximum approximately 10 months before the mainshock.The seismicity responsible for this pattern was distributed across a large area(~1,550 km×500 km),with most events occurring on smaller fault structures west of the Sagaing Fault,rather than along the main fault itself.The premonitory behavior of the seismic regularity coefficient prior to the Myanmar earthquake closely matched the patterns observed during other large events.The signal was even more pronounced when analyzed with the seismic strain dynamics coefficient.The joint evolution of both parameters was interpreted within the framework of a model that describes the preparatory process leading to large earthquakes.The obtained results confirm the potential of this approach for long-term earthquake forecasting. 展开更多
关键词 2025 Myanmar earthquake seismic regularity coefficient seismic strain dynamics coefficient precursory signals equivalent dimension space
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Research on error performance of underwater OAM multiplexing optical communication assisted by deep learning 认领 引用
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作者 Aiping HUANG Yi CAO +1 位作者 Honglin WANG Linwei TAO 《Optoelectronics Letters》 EI 2026年第5期261-267,共7页
In this paper,a novel convolutional neural network(CNN)assisted decoding method is proposed to recover information directly for underwater orbital angular momentum(OAM)multiplexing optical communication.The effects of... In this paper,a novel convolutional neural network(CNN)assisted decoding method is proposed to recover information directly for underwater orbital angular momentum(OAM)multiplexing optical communication.The effects of various attenuations and ocean water types,such as absorption,scattering,turbulence fading,noise and diffraction,are considered comprehensively in our analysis.A regularly spaced continuous phase screen is used to represent ocean turbulence.And the angular diffraction function is exploited for simulating the propagation of the OAM beams.In order to minimize the bit error rate(BER)and simplify the receiver design,a CNN assisted decoding method is used to compensate the distorted OAM light and decode the transmission data directly without channel estimation and equalization.The CNN is trained to learn the multiplexed OAM light intensity map generated under various water environments.The bit error performance of CNN OAM system is also compared with that of traditional Gerchberg-Saxton(GS)algorithm.Our numerical simulation results indicate that the CNN assisted method combats the impairing effects of fading and improves the underwater OAM system performance obviously.Furthermore,it outperforms GS algorithm in almost all the turbulence environments at the same water environment.And the BER of the CNN assisted system still decreases effectively by increasing signal-to-noise ratio(SNR)even in moderate and strong turbulence situations while at the same time requiring less computation complexity. 展开更多
关键词 angular diffraction function underwater orbital angular recover information directly regularly spaced continuous phase screen Convolutional Neural Network CNN Deep Learning convolutional neural network cnn assisted Underwater Optical Communication
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NONLINEAR SINGULAR EIGENVALUE PROBLEMS 认领 引用
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作者 Nikolaos S.PAPAGEORGIOU Zijia PENG 《Acta Mathematica Scientia》 SCIE CSCD 2026年第3期1484-1499,共16页
We study a nonlinear eigenvalue problem driven by a general nonhomogeneous differential operator,involving a reaction term that is singular at x=0 and becomes superlinear as x→+∞.Unlike the usual case in the literat... We study a nonlinear eigenvalue problem driven by a general nonhomogeneous differential operator,involving a reaction term that is singular at x=0 and becomes superlinear as x→+∞.Unlike the usual case in the literature,the singular term and the perturbation are not decoupled.By using variational methods in combination with truncation and comparison techniques,we establish a global existence and multiplicity theorem with respect to the parameter(eigenvalue)λ>0.Additionally,we demonstrate the existence of a minimal positive solution uλ*and investigate the continuity and monotonicity properties of the mapλ→uλ*. 展开更多
关键词 singular and superlinear reaction nonlinear regularity nonlinear maximum principle truncations and comparisons minimal positive solutions
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STRIDE sustained an overall survival benefit with safety profiles in unresectable hepatocellular carcinoma at 5-year follow-up 认领 引用
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作者 Tatsuo Kanda Reina Sasaki-Tanaka +3 位作者 Hiroteru Kamimura Kazunao Hayashi Kenya Kamimura Shuji Terai 《Hepatobiliary Surgery and Nutrition》 SCIE 2026年第1期135-138,共4页
In general,patients with unresectable hepatocellular carcinoma(uHCC)show poor prognosis(1,2).Blocking the axis of cytotoxic T lymphocyte associated antigen-4(CTLA-4)and programmed cell death-1(PD-1),respectively,anti-... In general,patients with unresectable hepatocellular carcinoma(uHCC)show poor prognosis(1,2).Blocking the axis of cytotoxic T lymphocyte associated antigen-4(CTLA-4)and programmed cell death-1(PD-1),respectively,anti-CTLA-4 monoclonal antibody(such as tremelimumab)and anti-programmed cell death-1-ligand 1(PDL-1)monoclonal antibody(such as durvalumab)represent common therapies for advanced cancers,including urothelial cancer,non-small cell lung cancer and hepatocellular carcinoma(HCC)(3).At present,immune-checkpoint inhibitor(ICI)-based systemic therapies could lead to groundbreaking treatment outcome in patients with uHCC(4). 展开更多
关键词 Hepatocellular carcinoma(HCC) HIMALAYA study:single tremelimumab regular interval durvalumab(STRIDE) 5-year overall survival(5-year OS)
An iterative regularized inversion method of fracture width and height using cross-well optical fiber strain 认领 引用
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作者 CHEN Ming WANG Ziang +2 位作者 GUO Tiankui LIU Yongzan CHEN Zuorong 《Petroleum Exploration and Development》 SCIE 2026年第1期235-248,共14页
The forward model of optical fiber strain induced by fractures,together with the associated model resolution matrix,is used to demonstrate the interpretability of fracture parameters once the fracture intersects the f... The forward model of optical fiber strain induced by fractures,together with the associated model resolution matrix,is used to demonstrate the interpretability of fracture parameters once the fracture intersects the fiber.A regularized inversion framework for fracture parameters is established to evaluate the influence of measured data quality on the accuracy of iterative regularized inversion.An interpretation approach for both fracture width and height is proposed,and the synthetic forward data with measurement error and field examples are employed to validate the accuracy of the simultaneous inversion of fracture width and height.The results indicate that,after the fracture contacts the fiber,the strain response is strongly sensitive only to the fracture parameters at the intersection location,whereas the interpretability of parameters at other locations remains limited.The iterative regularized inversion method effectively suppresses the impact of measurement error and exhibits high computational efficiency,showing clear advantages for inversion applications.When incorporating the first-order regularization with a Neumann boundary constraint on the tip width,the inverted fracture-width distribution becomes highly sensitive to fracture height;thus,combined with a bisection strategy,simultaneous inversion of fracture width and height can be achieved.Examination using the model resolution matrix,noisy synthetic data,and field data confirms that the iterative regularized inversion model for fracture width and height provides high interpretive accuracy and can be applied to the calculation and analysis of fracture width,fracture height,net pressure and other parameters. 展开更多
关键词 optical fiber strain fracture diagnosis forward model model resolution iterative regularized inversion computational efficiency fracture parameter interpretation
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Synchronizing Semigroups Generated by a Transitive Imprimitive Group and a Transformation 认领 引用
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作者 LI Wangwei LI Xianhua 《数学进展》 CSCD 北大核心 2026年第2期356-368,共13页
Let Tn and Sn be the full transformation semigroup and the symmetric group on Xn={1,2,...,n},respectively.Let G be a transitiveimprimitive subgroupof Sn with nontrivial blocksΔand letαbe a transformation... Let Tn and Sn be the full transformation semigroup and the symmetric group on Xn={1,2,...,n},respectively.Let G be a transitiveimprimitive subgroupof Sn with nontrivial blocksΔand letαbe a transformation in Tn\Sn.The kernel ofαis the partition of Xn induced by the equivalence relation{(x,y)|xα=yα};the kernel type ofαis the partition of n given by the sizes of the parts of the kernel.A transformation semigroup is called synchronizing if it contains a constant map.Then a group G synchronizes a transformationαif the semigroup(G,α)contains a constant map.In this paper,we study a transitive imprimitive permutation group G together with a non-invertible transformationαthat generate a synchronizing semigroup.We mainly discuss 7 cases where G synchronizes a special transformationαwith each kernel class Ai(A1j)satisfying|Ai∩Δ|=1(|A1j∩Δ|=1)for all blocksΔofG,that is,the kernel type ofαis(|A1|,1,...,1),(|A11|,...,|A1m|,|A2|,...,|Ar|),or(|A1|,...,|At|,1,...,1),or the rank is 2,3,4,or n-2. 展开更多
关键词 transitive imprimitive group completely regular semigroup synchronizing semigroup
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GLOBAL REGULARITY FOR THE 2D MICROPOLAR RAYLEIGH-BENARD CONVECTION SYSTEM WITH VELOCITY CRITICAL DISSIPATION,LOWER MICRO-ROTATIONAL DISSIPATION AND NO TEMPERATURE DIFFUSION 认领 引用
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作者 Baoquan YUAN Changhao LI 《Acta Mathematica Scientia》 SCIE CSCD 2026年第3期1405-1425,共21页
This paper studies the global regularity problem for the 2D micropolar Rayleigh-Bénard convection system with velocity critical(-Δ)1/2dissipation,micro-rotation velocity fractional(-Δ)5/6dissipation witho... This paper studies the global regularity problem for the 2D micropolar Rayleigh-Bénard convection system with velocity critical(-Δ)1/2dissipation,micro-rotation velocity fractional(-Δ)5/6dissipation without temperature diffusion.By introducing three combined quantities,using the technique of Littlewood-Paley decomposition,and with the help of the Besov space,we establish the global regularity result of strong solutions to this system in the Sobolev space Hs(R2)for s≥2. 展开更多
关键词 micropolar fliud Rayleigh-Bénard convection global regularity Littlewood-Paley theory
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Unveiling Solidification Mechanism and Balanced Strength-Ductility Synergy of Eutectic High-Entropy Alloys 认领 引用 被引量：1
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作者 Yi Qin Yi Li +13 位作者 Xin Jiang Junfeng Duan Ziyu Peng Jingran Huang Yifan Lin Xuwei Qin Bodong Tan Yiheng Ruan Xiaohan Wang Hongxuan Xu Honglei Wang Tianlong Zhang Peijian Shi Yunbo Zhong 《Rare Metals》 SCIE EI CAS CSCD 2026年第4期330-340,共11页
Eutectic high-entropy alloys(EHEAs)have attracted significant attention due to their balanced mechanical properties and promising applications.Nonetheless,the correlation between the solidification mechanism of eutect... Eutectic high-entropy alloys(EHEAs)have attracted significant attention due to their balanced mechanical properties and promising applications.Nonetheless,the correlation between the solidification mechanism of eutectic microstructures and their mechanical properties remains elusive.In this study,we report an Al1.19CoFeNi2.86 EHEA composed of typical regular and irregular lamellar colonies.Both colonies exhibit a dual-phase structure containing face-centered cubic(FCC)and bodycentered cubic(BCC)phases,which collectively induce balanced as-cast strength-ductility synergy.Tensile experiments reveal an as-cast yield strength of~618 MPa,an ultimate tensile strength of~1015 MPa,and a fracture elongation of~9.7%.Through multiscale probing of deformation processes,we unveil that the mixed,regular and irregular,eutectic lamellar microstructure is critical for balancing strength and ductility,stemming from persistent hetero-deformation-induced strain hardening spanning across a wide strain scope.The hybrid structure of regular and irregular lamellar eutectics arises from solute diffusion and associated thermophysical factors during solidification.These findings provide insights into clarifying the structure-property correlation in as-cast EHEAs as well as optimizing their properties. 展开更多
关键词 balanced mechanical properties deformation processes eutectic high-entropy alloys regular and irregular lamellar colonies solidification mechanism
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Emerging point-of-care technologies for bacterial pathogen detection 认领 引用 被引量：1
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作者 Wen ZHANG Yundong HANG +4 位作者 Sisi ZHAN Weiyao SONG Binxiao LI Nan CHEN Min LV 《Journal of Zhejiang University-SCIENCE B》 SCIE CAS CSCD 2026年第7期677-697,I0002,共21页
Bacterial infections remain a significant threat to public health worldwide,driving an urgent need for rapid,accurate,and field-deployable diagnostic techniques.Point-of-care testing(POCT)has emerged as a transformati... Bacterial infections remain a significant threat to public health worldwide,driving an urgent need for rapid,accurate,and field-deployable diagnostic techniques.Point-of-care testing(POCT)has emerged as a transformative strategy,providing timely detection,operational simplicity,and portability.Recent studies have aimed at enhancing sensitivity,specificity,multiplexing capability,and automation through the integration of molecular diagnostics with microfluidics and lab-on-chip technologies,alongside the development of low-cost,portable devices equipped with smartphone-based readout and cloud connectivity for real-time surveillance in resource-limited settings.Nonetheless,evidence-based frameworks for selecting optimal detection targets-such as genomic sequences,conserved protein epitopes,or viable whole cells-and matching them to appropriate POCT modalities remain notably underrepresented in the literature.This review systematically summarizes recent advances in POCT strategies for bacterial detection,categorized according to three major types of detection targets,including cellular phenotypic characteristics,surface antigens,and nucleic acids.We discuss the principles,advantages,limitations,and representative applications of key POCT platforms,which include microscopy-based visualization,immunoassays,isothermal amplification,clustered regularly interspaced short palindromic repeats(CRISPR)-CRISPR-associated protein(Cas)systems,and microfluidic biosensors.Critical challenges,such as sample pretreatment,detection sensitivity,and operational simplicity,have been partially addressed through recent innovations.Finally,we outline the main future research directions focused on the development of integrated,automated,and intelligent POCT systems for clinical deployment. 展开更多
关键词 Point-of-care testing(POCT) Bacterial detection Microfluidic Immunoassay Nucleic acid amplification Clustered regularly interspaced short palindromic repeats(CRISPR)-CRISPR-associated protein(Cas)system(CRISPR-Cas)
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