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Study on the destabilizing damage precursors of cemented tailings backfill based on critical slowing down theory combined with multiple denoising algorithms under consideration of initial defect conditions 认领 引用 被引量：1
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作者 ZHAO Kang ZHONG Jun-cheng +3 位作者 YAN Ya-jing LIU Yang WEN Dao-tan XIAO Wei-ling 《Journal of Central South University》 SCIE EI CAS CSCD 2026年第1期375-399,共25页
The cemented tailings backfill(CTB)with initial defects is more prone to destabilization damage under the influence of various unfavorable factors during the mining process.In order to investigate its influence on the... The cemented tailings backfill(CTB)with initial defects is more prone to destabilization damage under the influence of various unfavorable factors during the mining process.In order to investigate its influence on the stability of underground mining engineering,this paper simulates the generation of different degrees of initial defects inside the CTB by adding different contents of air-entraining agent(AEA),investigates the acoustic emission RA/AF eigenvalues of CTB with different contents of AEA under uniaxial compression,and adopts various denoising algorithms(e.g.,moving average smoothing,median filtering,and outlier detection)to improve the accuracy of the data.The variance and autocorrelation coefficients of RA/AF parameters were analyzed in conjunction with the critical slowing down(CSD)theory.The results show that the acoustic emission RA/AF values can be used to characterize the progressive damage evolution of CTB.The denoising algorithm processed the AE signals to reduce the effects of extraneous noise and anomalous spikes.Changes in the variance curves provide clear precursor information,while abrupt changes in the autocorrelation coefficient can be used as an auxiliary localization warning signal.The phenomenon of dramatic increase in the variance and autocorrelation coefficient curves during the compression-tightening stage,which is influenced by the initial defects,can lead to false warnings.As the initial defects of the CTB increase,its instability precursor time and instability time are prolonged,the peak stress decreases,and the time difference between the CTB and the instability damage is smaller.The results provide a new method for real-time monitoring and early warning of CTB instability damage. 展开更多
关键词 initial defects cemented tailings backfill critical slowing down acoustic emission RA/AF values denoising algorithms
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Structured Random Cycle-Guided Algorithm (SRCA): An Adaptive Metaheuristic Combining Directionally-Guided and Stochastic Search Strategies 认领 引用
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作者 Giuseppe Marannano Antonino Cirello Tommaso Ingrassia 《Computers, Materials & Continua》 SCIE EI 2026年第6期1873-1898,共26页
In response to the growing need for adaptive optimization algorithms capable of handling complex,multimodal,and high-dimensional search spaces,this paper introduces the Structured Random Cycle-guided Algorithm(SRCA).S... In response to the growing need for adaptive optimization algorithms capable of handling complex,multimodal,and high-dimensional search spaces,this paper introduces the Structured Random Cycle-guided Algorithm(SRCA).SRCA is not presented as a fundamentally new optimization paradigm,but rather as an architectural synthesis and a unified adaptive framework for dynamic operator selection.Based on a cycle-structured architecture,directional and stochastic search behaviors are dynamically selected at the individual level.The algorithm orchestrates well-established structured movements with a diverse pool of stochastic exploration strategies,enabling a coherent and adaptive balance between exploration and exploitation throughout the optimization process.Unlike traditional metaheuristics that rely on fixed behavioral roles or static movement schemes,SRCA allows each individual to adapt its search strategy based on real-time population feedback,monitored through convergence and dispersion indicators.The performance of SRCA is quantitatively assessed under strictly identical experimental conditions on a comprehensive set of 23 benchmark functions,including multimodal and high-dimensional problems,as well as on six classical constrained engineering design problems.Numerical results demonstrate competitive convergence reliability and robustness across diverse optimization tasks,confirming the effectiveness of the proposed adaptive cycle-based framework. 展开更多
关键词 Metaheuristic algorithms optimization constrained optimization benchmark functions structured random cycle-guided algorithm
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Optimization of the frequency offset increment of FDA-MIMO based on cuckoo search algorithm 认领 引用 被引量：1
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作者 WANG Bo ZHAO Yu +2 位作者 LI Yonglin YANG Rennong XUE Junjie 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2026年第1期157-170,共14页
Frequency diverse array multiple-input multiple-output(FDA-MIMO)radar has gained considerable research attention due to its ability to effectively counter active repeater deception jamming in complex electromagnetic e... Frequency diverse array multiple-input multiple-output(FDA-MIMO)radar has gained considerable research attention due to its ability to effectively counter active repeater deception jamming in complex electromagnetic environments.The effectiveness of interference suppression by FDA-MIMO is limited by the inherent range-angle coupling issue in the FDA beampattern.Existing literature primarily focuses on control methods for FDA-MIMO radar beam direction under the assumption of static beampatterns,with insufficient exploration of techniques for managing nonstationary beam directions.To address this gap,this paper initially introduces the FDA-MIMO signal model and the calculation formula for the FDA-MIMO array output using the minimum variance distortionless response(MVDR)beamformer.Building on this,the problem of determining the optimal frequency offset for the FDA is rephrased as a convex optimization problem,which is then resolved using the cuckoo search(CS)algorithm.Simulations confirm the effectiveness of the proposed approach,showing that the frequency offsets obtained through the CS algorithm can create a dot-shaped beam direction at the target location while effectively suppressing interference signals within the mainlobe. 展开更多
关键词 frequency diverse array multiple-input multiple-output(FDA-MIMO) convex optimization cuckoo search algorithm beampattern
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Low-complexity APSK demodulation algorithm based on K-means clustering in LEO satellite communication systems 认领 引用
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作者 Guangfu Wu Xiangrui Meng +1 位作者 Changlin Chen Biqun Xiang 《Digital Communications and Networks》 SCIE EI CSCD 2026年第2期343-353,共11页
Amplitude Phase Shift Keying(APSK)is more suitable for the nonlinear channels of Low Earth Orbit(LEO)satellite communication systems compared to Quadrature Amplitude Modulation(QAM).To tackle challenges posed by Direc... Amplitude Phase Shift Keying(APSK)is more suitable for the nonlinear channels of Low Earth Orbit(LEO)satellite communication systems compared to Quadrature Amplitude Modulation(QAM).To tackle challenges posed by Direct Current(DC)interference and high demodulation complexity,we propose an APSK demodulation algorithm based on K-means clustering.Initially,static DC components are calculated and removed from the received APSK signals.Subsequently,the estimated APSK constellation points serve as initial centers for K-means clustering.These centers are refined through the K-means process and act as theoretical APSK constellation points for the Max-Log-MAP demodulation algorithm,effectively eliminating residual DC.We then introduce a low-complexity APSK demodulation algorithm that utilizes the symmetry of constellation points along with the Euclidean distance between DC-eliminated signals and these constellation points to minimize the set of constellation points.Simulation results indicate that for 32-APSK,our proposed demodulation submodule reduces computational complexity to approximately one-third that of the Max-Log-MAP algorithm while improving Bit Error Rate(BER)performance by about 0.23 dB.Furthermore,end-to-end simulation experiments conducted within LEO satellite communication systems demonstrate that our approach not only maintains this complexity advantage but also enhances BER performance by approximately 1.1 dB. 展开更多
关键词 DC elimination APSK demodulation LEO satellite communication K-means algorithm Max-Log-MAP algorithm
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A Quantum-Inspired Algorithm for Clustering and Intrusion Detection 认领 引用
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作者 Gang Xu Lefeng Wang +5 位作者 Yuwei Huang Yong Lu Xin Liu Weijie Tan Zongpeng Li Xiu-Bo Chen 《Computers, Materials & Continua》 SCIE EI 2026年第4期1180-1215,共36页
The Intrusion Detection System(IDS)is a security mechanism developed to observe network traffic and recognize suspicious or malicious activities.Clustering algorithms are often incorporated into IDS;however,convention... The Intrusion Detection System(IDS)is a security mechanism developed to observe network traffic and recognize suspicious or malicious activities.Clustering algorithms are often incorporated into IDS;however,conventional clustering-based methods face notable drawbacks,including poor scalability in handling high-dimensional datasets and a strong dependence of outcomes on initial conditions.To overcome the performance limitations of existing methods,this study proposes a novel quantum-inspired clustering algorithm that relies on a similarity coefficient-based quantum genetic algorithm(SC-QGA)and an improved quantum artificial bee colony algorithm hybrid K-means(IQABC-K).First,the SC-QGA algorithmis constructed based on quantum computing and integrates similarity coefficient theory to strengthen genetic diversity and feature extraction capabilities.For the subsequent clustering phase,the process based on the IQABC-K algorithm is enhanced with the core improvement of adaptive rotation gate and movement exploitation strategies to balance the exploration capabilities of global search and the exploitation capabilities of local search.Simultaneously,the acceleration of convergence toward the global optimum and a reduction in computational complexity are facilitated by means of the global optimum bootstrap strategy and a linear population reduction strategy.Through experimental evaluation with multiple algorithms and diverse performance metrics,the proposed algorithm confirms reliable accuracy on three datasets:KDD CUP99,NSL_KDD,and UNSW_NB15,achieving accuracy of 98.57%,98.81%,and 98.32%,respectively.These results affirm its potential as an effective solution for practical clustering applications. 展开更多
关键词 Intrusion detection clustering quantum artificial bee colony algorithm K-means quantum genetic algorithm
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A Metaheuristic Football Optimization Algorithm Integrated with Large Language Models for Automated Seismic Time-Series Modeling 认领 引用
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作者 Amal H.Alharbi Marwa M.Eid +2 位作者 Nima Khodadadi Ebrahim A.Mattar Sayed Elkenawy 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第5期947-987,共41页
Seismic time series forecasting remains challenging due to the nonlinearity,non-stationarity,and noise of earthquake data,and because deep learning models are sensitive to preprocessing and hyperparameter settings.Alt... Seismic time series forecasting remains challenging due to the nonlinearity,non-stationarity,and noise of earthquake data,and because deep learning models are sensitive to preprocessing and hyperparameter settings.Although recent studies have improved neural architectures and optimization techniques,preprocessing is often treated as a fixed or manually designed stage,with limited integration into model optimization.To address this,this paper proposes an integrated,data-driven modelling framework that combines guided preprocessing with systematic hyperparameter optimization for seismic prediction,specifically forecasting earthquake magnitude from seismic catalog time-series data,with experiments conducted on Canadian seismic records.The method uses a Large Language Model to guide data preparation and feature engineering,rather than fully automate them,and applies deep learning-based forecasting with the N-HITS architecture,optimized via metaheuristic-assisted feature selection and hyperparameter tuning.The Football Optimization Algorithm(FbOA),employed as a metaheuristic optimization strategy in this study,is evaluated and compared with several well-known optimizers under identical conditions.The results show significant performance gains,with FbOA achieving superior accuracy,robustness,and convergence compared to baseline and competing methods.Notably,error metrics are reduced(MSE 3.10×10-7,RMSE 5.57×103),with high performance indicators(r=0.982,R2=0.979,NSE=0.981,WI=0.985).These results highlight the value of integrating guided preprocessing with optimization and demonstrate a scalable framework for high-precision time-series prediction in geophysical and related domains. 展开更多
关键词 Seismic time-series forecasting large language models metaheuristic algorithms football optimization algorithm earthquake modeling
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Effect of electro-thumbtack needles on symptoms during high-altitude exposure:a pilot,single-blind,randomized,controlled study 认领 引用
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作者 WANG Xin CAO Xue +8 位作者 QIN Yuning SUN Minglin YUE Lihong TIAN Yukun WANG Guangjun LIU Xinglong WANG Zirong Labasangzhu LIU Jia 《Journal of Traditional Chinese Medicine》 SCIE CAS CSCD 2026年第3期674-683,共10页
OBJECTIVE:To investigate the efficacy and safety of electro-thumbtack needles(ETN)compared with sham acupuncture(SA)on symptoms during high-altitude exposure.METHODS:In this pilot,single-blind,randomized,controlled st... OBJECTIVE:To investigate the efficacy and safety of electro-thumbtack needles(ETN)compared with sham acupuncture(SA)on symptoms during high-altitude exposure.METHODS:In this pilot,single-blind,randomized,controlled study,we assessed the impact of ETN acupuncture on symptoms associated with high-altitude exposure.Participants were randomized into two groups:an ETN group and a SA group.The intervention involved routine skin disinfection and stimulation of seven acupuncture points:bilateral Neiguan(PC6),bilateral Hegu(LI4),bilateral Taiyang(EX-HN5),and Zhongwan(CV12),with pressure for approximately 1 min on each point.The primary outcome was the Lake Louise Score after intervention.Secondary outcome measures were heart rate,blood pressure,blood oxygen saturation,headache visual analogue scale score,clinical function score,and sleep scale scores after the intervention.RESULTS:We enrolled 125 patients with high-altitude exposure;59 in the ETN group and 66 in the SA group.AMS was present in 37.90%of the 125 patients.The Lake Louise Score in the ETN group was significantly lower than that in the SA group 6 h postintervention[P=0.05;adjusted mean difference:0.56;95%confidence interval(CI)(0.01,1.11)].The changes in blood pressure,blood oxygen saturation,and Groningen Sleep Quality Survey,Stanford Sleepiness Scale,visual analog scale,and clinical functioning scores 48 h postintervention showed no significant differences between the groups.Decreases in cerebral oxygen saturation postintervention differed significantly between the ETN and SA groups[P<0.05;t=-1.39;95%CI(3.50,0.59)].CONCLUSIONS:This study assessed the feasibility of ETN to address AMS and was a preliminary evaluation of its efficacy.This study provides a basis for the development of intervention programs and scale implementation.ETN is a possible intervention in AMS for special populations,such as those with drug contraindications or pregnant women.This study may guide future research by presenting novel insights,strategic directions,and foundational evidence. 展开更多
关键词 acupuncture altitude randomized controlled trial altitude sickness oxygen saturation
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Efficacy and safety of auriculotherapy for insomnia disorder:A randomized controlled trial 认领 引用
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作者 Hao Chen Xi-fen Zhang +8 位作者 Zi-chun Yuan Xue-song Wang Yuan-bo Gao Xu-xin Li Jun-cha Zhang Michele Dias da Silva Oliveira Cynthia Assis de Barros Nunes Jun Liu Yan-fen She 《Journal of Integrative Medicine》 SCIE CAS CSCD 2026年第2期174-181,共8页
Background:Auriculotherapy is a simple,convenient,nonpharmacological option that has shown positive effects for insomnia patients,but its efficacy and safety remain unknown.Objective:The aim of this study is to evalua... Background:Auriculotherapy is a simple,convenient,nonpharmacological option that has shown positive effects for insomnia patients,but its efficacy and safety remain unknown.Objective:The aim of this study is to evaluate the efficacy and safety of auricular therapy for insomnia.Design,setting,participants and intervention:An 18-week(2-week screening,4-week treatment,and 12-week follow-up),recruiter-and assessor-blinded,randomized,sham-controlled trial was performed.Patients were recruited from outpatient settings at three clinical centers in China from 2 February 2023 to 26 January 2024.Participants had insomnia for more than 3 months and met the criteria classified in the Diagnostic and Statistical Manual of Mental Disorders(Fifth Edition).Patients were randomly assigned in a 1:1 ratio to receive auricular therapy(AT)or sham AT(SAT)for 4 consecutive weeks,twice a week,and once every 3 days.Main outcome measures:Primary outcome was the response rate at week 4 after treatment,defined as the percentage of patients with at least a 50%reduction in Pittsburgh Sleep Quality Index(PSQI)from baseline.Secondary outcomes consisted of response rates at other time points,PSQI and 4 related scales,actigraphy-recorded sleep efficiency,sleep arousal frequency,and total sleep time.Results:A total of 234 participants were screened,and 156 patients(122 female[78.2%];mean[standard deviation]age,37.2[13.5]years)were included in the intention-to-treat analysis,with 78 participants randomized to each group.A total of 117 participants(75%)were followed up for 3 months.The AT group had a higher response rate at week 4 than the SAT group(39.73%[29/73]vs 23.29%[17/73],P=0.03),and the response rates for the AT and SAT groups at week 2 were 28.38%(21/74)and 13.33%(10/75),respectively(P=0.02).The differences between the two groups in the PSQI at each time point(P<0.05)and the Insomnia Severity Index at weeks 4 and 12(both P=0.03)were also statistically significant.The other partial outcomes also showed statistically significant differences.Adverse events occurred in 2 cases in the AT group(2.60%).Conclusion:Four-week AT treatment was an effective and safe alternative therapy for insomnia,although the difference with the SAT treatment did not reach the minimal clinically important difference.Adverse events were mild or transient. 展开更多
关键词 Auriculotherapy Insomnia Pittsburgh sleep quality index Randomized controlled trial
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Effectiveness and cost-effectiveness of risk-adapted colorectal cancer screening:a randomized controlled trial and modeling analysis 认领 引用
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作者 Hong-Da Chen Bin Lu +19 位作者 Ju-Fang Shi Yue-Yang Zhou Ling-Bin Du Xian-Zhen Liao Dong-Hua Wei Dong Dong Yi Gao Chen Zhu Rong-Biao Ying Wei-Fang Zheng Shi-Peng Yan Hai-Fan Xiao Juan Zhang Yun-Xin Kong Fu-Rong Li Na Li Jia-Hui Luo Chen-Yu Luo Hermann Brenner Min Dai 《Military Medical Research》 SCIE CAS CSCD 2026年第6期881-893,共13页
Background:Risk-adapted colorectal cancer(CRC)screening has the potential to balance effectiveness with resource demands,yet evidence comparing it with established methods remains limited.This study aims to compare ou... Background:Risk-adapted colorectal cancer(CRC)screening has the potential to balance effectiveness with resource demands,yet evidence comparing it with established methods remains limited.This study aims to compare outcomes of risk-adapted CRC screening with colonoscopy and fecal immunochemical test(FIT)strategies.Methods:We adopted a hybrid methodology combining real-world data from a population-based CRC screening randomized controlled trial(TARGET-C)with projections from a validated Markov-based microsimulation model(MIMIC-CRC).The TARGET-C trial enrolled 19,582 participants aged 50-74 years from 6 centers in China,randomized in a 1:2:2 ratio into three groups.After applying the exclusion criteria,the final analysis included 3883 participants in the one-time colonoscopy group,7793 in the annual FIT group,and 7697 in the risk-adapted screening group.In the latter group,screening allocation was determined by a composite risk score incorporating age,sex,family history of CRC,smoking status,and body mass index,with high-risk participants referred for colonoscopy and low-risk participants for FIT.The primary outcome was detection rates of advanced neoplasm(CRC and advanced adenoma)over 4 rounds.Secondary outcomes included screening participation,colonoscopy demand,and costs from a societal perspective.Long-term effectiveness and cost-effectiveness were modeled over 15 years using MIMIC-CRC.Results:Across 4 rounds,overall participation rates(attending at least one screening round)were 42.3%(colonoscopy),99.8%(FIT),and 92.5%(risk-adapted).Detection rates of advanced neoplasms were 2.8%,2.3%,and 2.6%,respectively,with no significant differences(P>0.05).Colonoscopies needed to detect 1 advanced neoplasm were 15.4,7.9,and 9.3,respectively.From a societal perspective,the cost for detecting 1 advanced neoplasm was 15,341,21,754,and 24,300 Chinese Yuan,respectively.Over 15 years,risk-adapted screening reduced incidence by 16.7%and mortality by 21.5%compared with no screening,slightly less effective than colonoscopy(24.6%and 24.8%,respectively).Under observed real-world adherence,colonoscopy was the most cost-effective;under perfect full adherence,risk-adapted screening was the most cost-effective.Conclusions:In this population-based CRC screening trial,risk-adapted screening,colonoscopy,and FIT demonstrated comparable effectiveness,but differed in participation rates,resource utilization,and cost-effectiveness.Risk-adapted screening could serve as a complementary approach to established strategies,particularly when health resources are limited.Trial registration:Chinese Clinical Trial Registry(ChiCTR1800015506). 展开更多
关键词 Colorectal cancer(CRC) Screening Risk-adapted screening Randomized controlled trial Cost-effectiveness
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Optimization of a self-tuning force control system for the milling process using a dynamic enhanced genetic algorithm 认领 引用
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作者 Yao Li Zhengcai Zhao +3 位作者 Ning Qian Lei Zhang Wenfeng Ding Yucan Fu 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2026年第2期33-43,共11页
When milling structural components with varying axial depths and widths,cutting forces tend to fluctuate,negatively impacting tool life and machining accuracy.To mitigate the force fluctuations and enhance tool longev... When milling structural components with varying axial depths and widths,cutting forces tend to fluctuate,negatively impacting tool life and machining accuracy.To mitigate the force fluctuations and enhance tool longevity,developing a simple,reliable,and easy-to-implement force control system for milling is essential,which is an important step toward advancing intelligent manufacturing.This paper explores the use of genetic algorithms(GA) for powerful optimization capabilities in developing self-tuning milling force controllers.A comprehensive framework for optimizing a fuzzy logic controller using an enhanced GA is specifically designed for the milling process.The optimization integrates the GA with a simulation model,fine-tuning membership functions and optimizing fuzzy rule selection.The enhanced GA incorporates the Integral of Time-weighted Absolute Error(ITAE) as the fitness criterion to improve the robustness and responsiveness of the controller.The optimized fuzzy logic controller is implemented within a computer numerical control system,adjusting feed rates in real-time to control milling forces.The performance of the proposed controller is validated through step and slope milling tests,demonstrating an average control accuracy of 95.52%.Comparative evaluations with other controllers show that the proposed system offers a significant improvement,achieving up to 4.58% better control accuracy in step milling tests. 展开更多
关键词 Optimization Self-tuning Force control system Milling process Genetic algorithm
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Efficacy and safety of Jiawei Simiaoyongan granules(加味四妙勇安颗粒)in the treatment of non-infectious anterior uveitis:a randomized open-label trial 认领 引用
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作者 SUN Wu CHU Liqun +7 位作者 ZHOU Wanyu SHI Hang CHEN Shuiling LIANG Yu WU Jianguo WEI Dong LIU Yushen ZHANG Qi 《Journal of Traditional Chinese Medicine》 SCIE CAS CSCD 2026年第2期418-426,共9页
OBJECTIVE:To observe the clinical efficacy and safety of Chinese herbal medicine Jiawei Simiao Yongan granules(加味四妙勇安颗粒,JWSMYAG)in the treatment of non-infectious anterior uveitis(NIAU).METHODS:We conducted a ... OBJECTIVE:To observe the clinical efficacy and safety of Chinese herbal medicine Jiawei Simiao Yongan granules(加味四妙勇安颗粒,JWSMYAG)in the treatment of non-infectious anterior uveitis(NIAU).METHODS:We conducted a single-center,randomized,open-labeled clinical trial in adults with NIAU.Patients received standard treatment or a combination of JWSMYAG(twice daily)for three months,with a 3-month withdrawal period for observation.The primary endpoint was the recurrence rate within six months.RESULTS:A total of 98 patients were included in the intention-to-treat analysis,including 49 patients in the Traditional Chinese Medicine(TCM)group and 49 patients in the control group.Compared with the control group,the number of relapses was significantly lower in the TCM group[24.5%vs 6.1%,P=0.0224;Hazard Ratio=0.208,95%Confidence Interval(0.059,0.737)];in addition,patients in the TCM group had lower symptom scores of eye pain,insomnia,and bitter taste within two weeks(all P10 mm Hg,the scoring of anterior chamber cells,the number of patients with keratic precipitates(+)after 1/2 weeks of treatment,and the scores of conjunctival hyperemia,headache,photophobia,and lacrimation.The difference in the number of adverse events between the two groups over six months was not statistically significant.CONCLUSION:JWSMYAG can reduce the recurrence rate of NIAU,alleviate ocular pain,insomnia,and bitter taste symptoms in patients with NIAU,and have a favorable safety profile. 展开更多
关键词 non-infectious anterior uveitis recurrence rate safety randomized controlled study Jiawei Simiaoyongan granules
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An Efficient Evolutionary Algorithm for Few-for-Many Optimization 认领 引用
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作者 Ke Shang Hisao Ishibuchi +1 位作者 Zexuan Zhu Qingfu Zhang 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第6期1362-1377,共16页
Few-for-many(F4M)optimization,recently introduced as a novel paradigm in multi-objective optimization,aims to find a small set of solutions that effectively handle a large number of conflicting objectives.Unlike tradi... Few-for-many(F4M)optimization,recently introduced as a novel paradigm in multi-objective optimization,aims to find a small set of solutions that effectively handle a large number of conflicting objectives.Unlike traditional many-objective optimization methods,which typically attempt comprehensive coverage of the Pareto front,F4M optimization emphasizes finding a small representative solution set to efficiently address highdimensional objective spaces.Motivated by the computational complexity and practical relevance of F4M optimization,this paper proposes a new evolutionary algorithm explicitly tailored for efficiently solving F4M optimization problems.Inspired by Smetric selection evolutionary multi-objective optimization algorithm(SMS-EMOA),our proposed approach employs a(μ+1)-evolution strategy guided by the objective of F4M optimization.Furthermore,to facilitate rigorous performance assessment,we propose a novel benchmark test suite specifically designed for F4M optimization by leveraging the similarity betw een the R2indicator and F4M formulations.Our test suite is highly flexible,allowing any existing multi-objective optimization problem to be transformed into a corresponding F4M instance via scalarization using the weighted Tchebycheff function.Comprehensive experimental evaluations on benchmarks demonstrate the superior performance of our algorithm compared to existing state-of-the-art algorithms,especially on instances involving a large number of objectives.The source code of the proposed algorithm will be released publicly.Source code is available at http://gffzz188fe103f8f1460asnxcv9bw0c0qc6owp.ffgz.tsg.suse.edu.cn/MOL-SZU/SoM-EMOA. 展开更多
关键词 Evolutionary algorithm few-for-many optimization many-objective optimization (MOO) multi-objective optimization
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Semi-active robot-assisted total hip arthroplasty versus conventional surgery:A meta-analysis of randomized controlled studies 认领 引用
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作者 Ayman K.Saleh Mohammed Abdelgwad Ismail Emara +4 位作者 Mohamed Harby Abd elghani El sherif Abdelkhalek Abdelghafar Ibrahim Alzalabany Mohamed Nagah Ahmed Ibrahim Naif N.Alshahrani Tohamy G.T.Hassan 《Laparoscopic, Endoscopic and Robotic Surgery》 2026年第2期102-109,共8页
Objective:Conventional total hip arthroplasty(cTHA)may be technically challenging in some scenarios.Robotic-assisted THA(rTHA)was introduced in the 1980s with an active ROBODOC system.Considering the miscellaneous dra... Objective:Conventional total hip arthroplasty(cTHA)may be technically challenging in some scenarios.Robotic-assisted THA(rTHA)was introduced in the 1980s with an active ROBODOC system.Considering the miscellaneous drawbacks of this early system,more recent semi-active systems were subsequently introduced.The present meta-analysis aimed to compare the operative and clinical outcomes of rTHA assisted by semi-active systems with those of cTHA in randomized controlled trials(RCTs).Methods:The present study was conducted in line with the recommendations of the Preferred Reporting Items for Systematic Review and Meta-Analyses 2020 expanded statement.Three databases were searched for relevant studies(July 2025)in English,including PubMed,Web of Science Core Collection and Scopus.The outcome data included the operative time,amount of intraoperative and total blood loss,duration of hospital stay,number of patients in the Lewinnek or Callanan safe zones,postoperative Western Ontario and McMaster Universities Osteoarthritis Index(WOMAC)score,postoperative Harris hip score and leg length discrepancy(LLD).The risk of bias in the included studies was assessed via the risk of bias assessment tool.Results:Eleven RCTs with 834 patients were included in this study.No significantdifferences were found between rTHA and cTHA regarding blood loss,hospital stay,WOMAC score or Harris hip score.While cTHA had a significantlyshorter operative duration(MD:22.12;95%CI:9.75,34.48),rTHA was associated with a significantlygreater frequency of patients in the Lewinnek(OR:4.11;95%CI:2.04,8.31)and Callanan(OR:3.93;95%CI:1.15,13.57)safe zones and a significantly lower LLD(SMD:-0.45;95%CI:-0.60,-0.30).Conclusion:Compared with cTHA,rTHA is a more accurate surgical technique with comparable blood loss,hospital stay and clinical scores. 展开更多
关键词 Total hip arthroplasty Robot-assisted surgery Semi-active robot Randomized controlled studies
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Flood predictions from metrics to classes by multiple machine learning algorithms coupling with clustering-deduced membership degree 认领 引用
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作者 ZHAI Xiaoyan ZHANG Yongyong +5 位作者 XIA Jun ZHANG Yongqiang TANG Qiuhong SHAO Quanxi CHEN Junxu ZHANG Fan 《Journal of Geographical Sciences》 SCIE CSCD 2026年第1期149-176,共28页
Accurate prediction of flood events is important for flood control and risk management.Machine learning techniques contributed greatly to advances in flood predictions,and existing studies mainly focused on predicting... Accurate prediction of flood events is important for flood control and risk management.Machine learning techniques contributed greatly to advances in flood predictions,and existing studies mainly focused on predicting flood resource variables using single or hybrid machine learning techniques.However,class-based flood predictions have rarely been investigated,which can aid in quickly diagnosing comprehensive flood characteristics and proposing targeted management strategies.This study proposed a prediction approach of flood regime metrics and event classes coupling machine learning algorithms with clustering-deduced membership degrees.Five algorithms were adopted for this exploration.Results showed that the class membership degrees accurately determined event classes with class hit rates up to 100%,compared with the four classes clustered from nine regime metrics.The nonlinear algorithms(Multiple Linear Regression,Random Forest,and least squares-Support Vector Machine)outperformed the linear techniques(Multiple Linear Regression and Stepwise Regression)in predicting flood regime metrics.The proposed approach well predicted flood event classes with average class hit rates of 66.0%-85.4%and 47.2%-76.0%in calibration and validation periods,respectively,particularly for the slow and late flood events.The predictive capability of the proposed prediction approach for flood regime metrics and classes was considerably stronger than that of hydrological modeling approach. 展开更多
关键词 flood regime metrics class prediction machine learning algorithms hydrological model
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An algorithm-assisted high-resolution D-TOF imaging system with reconfigurable macropixel-based SPAD image sensor 认领 引用
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作者 Zhe Wang Jia-xing Song +8 位作者 Na Tian Xing-jia Ni Xu Yang Run-jiang Dou Peng Feng Jian Liu Nan-jian Wu Li-yuan Liu Shuang-ming Yu 《Journal of Semiconductors》 EI CAS CSCD 2026年第7期61-71,共11页
Single-photon avalanche diode(SPAD)image sensors are widely used in direct time-of-flight(D-TOF)imaging,but their ranging performance is often constrained by limited laser power.This article presents a SPAD-based D-TO... Single-photon avalanche diode(SPAD)image sensors are widely used in direct time-of-flight(D-TOF)imaging,but their ranging performance is often constrained by limited laser power.This article presents a SPAD-based D-TOF imaging system that combines a reconfigurable macro-pixel sensor architecture with a lightweight depth completion algorithm to achieve long-range depth imaging with enhanced spatial resolution under low optical power.The proposed sensor adopts a back-side illuminated(BSI)3D-stacked architecture with programmable macro-pixels that enhance detection sensitivity and enable flexible sensitivity–resolution trade-offs.An injection-locked ring-oscillator-based time-to-digital converter(RO-TDC)array achieves a time resolution of 152.5 ps,enabling accurate TOF measurement at an optical power of 10 mW.To compensate for macropixel-induced resolution loss,a probabilistic normalized convolutional neural network(pNCNN)is employed for depth completion using sparse depth inputs only.Experimental results demonstrate that up to 30×effective resolution enhancement of the system can be achieved via the depth completion algorithm without changing the physical resolution of the sensor.Additionally,the proposed system achieves a maximum ranging distance of 90 m and a range-to-power figure-of-merit(FOM)of9 m/mW,which validates the effectiveness of the system. 展开更多
关键词 SPAD reconfigurable macro-pixel time-to-digital converter(TDC) depth completion algorithm
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Phased-Enhancement Marine Predators Algorithm for Global Optimization and Medical Insurance Fraud Detection 认领 引用
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作者 Wen Long Yujia Wang +2 位作者 Qinghua Long Yang Yang Ming Xu 《Journal of Bionic Engineering》 SCIE EI CSCD 2026年第2期1088-1111,共24页
The Marine Predators Algorithm(MPA),while promising for complex optimization,suffers from limited solution precision,imbalanced exploration–exploitation,and premature convergence.To address these shortcomings,this pa... The Marine Predators Algorithm(MPA),while promising for complex optimization,suffers from limited solution precision,imbalanced exploration–exploitation,and premature convergence.To address these shortcomings,this paper proposes a phased-enhancement variant named PEMPA,which integrates three novel strategies into distinct phases of MPA:1)embedding historical best positions in the high-velocity ratio phase to refine solution quality;2)introducing an adaptive inertia weight based on an inverted Sigmoid function in the unit-velocity ratio phase to systematically balance exploration and exploitation;and 3)designing a two-stage opposition-based learning operator in the low-velocity ratio phase to prevent premature convergence.The performance of PEMPA is comprehensively evaluated across 23 classical benchmark functions,the IEEE Congress on Evolutionary Computation(CEC)2017 test suite,21 feature selection tasks,and a real-world medical insurance fraud detection problem.Experimental results confirm that the proposed strategies significantly enhance the efficiency and robustness of MPA.Furthermore,PEMPA demonstrates highly competitive performance compared with several state-of-the-art metaheuristic algorithms,validating its effectiveness and scalability for diverse optimization challenges. 展开更多
关键词 Marine predators algorithm Opposite-based learning Inertia weight Numerical optimization Feature selection
A Deep-Learning-Based Constitutive Method for Geomaterials Using a Neural Cutting Plane Algorithm 认领 引用
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作者 Qingxiang Meng Zijie He +1 位作者 Yajun Cao Weijiang Chu 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第6期158-180,共23页
Constitutive modeling for geomaterials remains challenging because of limited data availability,strong nonlinearity,pressure sensitivity,and the non-smooth characteristics of commonly used yield surfaces.This study pr... Constitutive modeling for geomaterials remains challenging because of limited data availability,strong nonlinearity,pressure sensitivity,and the non-smooth characteristics of commonly used yield surfaces.This study presents a deep-learning-based constitutive method for geomaterials that incorporates a neural stress-integration procedure based on the cutting plane algorithm(CPA).Two compact fully connected networks are trained to learn the yield function and its stress gradient from an augmented stress-state dataset.The trained networks are then incorporated into a cutting plane return-mapping procedure,in which only first-order information is required for the plastic stress return.This avoids explicit analytical yield expressions and second-derivative evaluations and is therefore more naturally compatible with non-smooth Mohr-Coulomb-type yield-surface representations in a first-order returnmapping sense.Numerical results show that the proposed method reproduces the reference Mohr-Coulomb response along the examined monotonic triaxial compression paths.Compared with the finite-difference closest-point projection method(CPPM)implementation considered in this study,the CPA-based neural stress-update procedure requires fewer network calls per update,indicating a more economical implementation for the present learned constitutive framework. 展开更多
关键词 Geomaterials constitutive modeling deep learning cutting plane algorithm stress integration
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An Enhanced Genetic Algorithm via an Innovative Elite Retention Strategy for Task Offloading in MEC Scenarios 认领 引用
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作者 Chengyu Hou Wenzao Li +3 位作者 Hanyun Li Kui Liu Zhuoning Zhao Hongping Shu 《Computers, Materials & Continua》 SCIE EI 2026年第8期2198-2218,共21页
The rapid growth of Internet of Things(IoT)and 5G technologies has led to a sharp increase in computing demands from wireless devices,making efficient task offloading a critical challenge.Key issues include reducing a... The rapid growth of Internet of Things(IoT)and 5G technologies has led to a sharp increase in computing demands from wireless devices,making efficient task offloading a critical challenge.Key issues include reducing application latency,lowering the energy consumption of terminal devices,and improving overall system performance,all of which directly affect user experience.Traditional genetic algorithms(GA),inspired by biological evolution,have been widely used in task offloading,but they often suffer from slow convergence and a tendency to fall into local optima in complex scenarios,limiting their effectiveness.To address these drawbacks,this paper proposes a task offloading strategy based on a refined elite mechanism in a GA.The algorithm introduces multi-point variation in both crossover and mutation operations to enhance population diversity,avoid local optima,and accelerate convergence.This design leverages the GA’s strength in multi-objective optimization,which outperforms other bionic heuristic algorithms that excel in single domains.Comparative experiments with GA,ant colony optimization,Deep Q-Network,Greedy algorithms,simulated annealing algorithm and particle swarm optimization,show that the proposed algorithm improves convergence speed by 35%,reduces task completion time by 6%,and optimizes energy consumption by approximately 18%. 展开更多
关键词 Task offloading genetic algorithm bandwidth constraint mobile edge computing
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RRT*-GSQ:A hybrid sampling path planning algorithm for complex orchard scenarios 认领 引用
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作者 ZHU Qingzhen ZHAO Jiamuyang +1 位作者 DAI Xu YU Yang 《农业工程学报》 EI CAS CSCD 北大核心 2026年第3期13-25,共13页
Traditional sampling-based path planning algorithms,such as the rapidly-exploring random tree star(RRT*),encounter critical limitations in unstructured orchard environments,including low sampling efficiency in narr... Traditional sampling-based path planning algorithms,such as the rapidly-exploring random tree star(RRT*),encounter critical limitations in unstructured orchard environments,including low sampling efficiency in narrow passages,slow convergence,and high computational costs.To address these challenges,this paper proposes a novel hybrid global path planning algorithm integrating Gaussian sampling and quadtree optimization(RRT*-GSQ).This methodology aims to enhance path planning by synergistically combining a Gaussian mixture sampling strategy to improve node generation in critical regions,an adaptive step-size and direction optimization mechanism for enhanced obstacle avoidance,a Quadtree-AABB collision detection framework to lower computational complexity,and a dynamic iteration control strategy for more efficient convergence.In obstacle-free and obstructed scenarios,compared with the conventional RRT*,the proposed algorithm reduced the number of node evaluations by 67.57%and 62.72%,and decreased the search time by 79.72%and 78.52%,respectively.In path tracking tests,the proposed algorithm achieved substantial reductions in RMSE of the final path compared to the conventional RRT*.Specifically,the lateral RMSE was reduced by 41.5%in obstacle-free environments and 59.3%in obstructed environments,while the longitudinal RMSE was reduced by 57.2%and 58.5%,respectively.Furthermore,the maximum absolute errors in both lateral and longitudinal directions were constrained within 0.75 m.Field validation experiments in an operational orchard confirmed the algorithm's practical effectiveness,showing reductions in the mean tracking error of 47.6%(obstacle-free)and 58.3%(with obstructed),alongside a 5.1%and 7.2%shortening of the path length compared to the baseline method.The proposed algorithm effectively enhances path planning efficiency and navigation accuracy for robots,presenting a superior solution for high-precision autonomous navigation of agricultural robots in orchard environments and holding significant value for engineering applications. 展开更多
关键词 robot path planning orchard improved RRT*algorithm Gaussian sampling autonomous navigation
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Primary Debulking Surgery Versus Neoadjuvant Chemotherapy in Advanced Ovarian Cancer:A Meta-Analysis of All Randomized Clinical Trials with Subgroup Analysis by Patient Profile 认领 引用
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作者 Carlo Ronsini Giuseppe Cucinella +6 位作者 Maria Cristina Solazzo Mariano Catello Di Donna Cono Scaffa Stefano Cianci Manuela Ludovisi Sandro Pignata Vito Chiantera 《Oncology Research》 SCIE 2026年第5期43-56,共14页
Background:The optimal sequencing of surgery and chemotherapy in advanced epithelial ovarian cancer remains debated.While primary debulking surgery(PDS)has been considered the standard approach,recent randomized trial... Background:The optimal sequencing of surgery and chemotherapy in advanced epithelial ovarian cancer remains debated.While primary debulking surgery(PDS)has been considered the standard approach,recent randomized trials have questioned its survival advantage over neoadjuvant chemotherapy(NACT)followed by interval debulking surgery(IDS).The study aimed to systematically evaluate phase Ⅲ randomized controlled trials comparing PDS and NACT.Methods:Following PRISMA guidelines(PROSPERO ID 1169057),PubMed and Scopus were systematically searched in October 2025 for phase Ⅲ randomized clinical trials evaluating cytoreductive strategies in ovarian carcinoma.Only full-text English studies reporting overall survival(OS)or disease-free survival(DFS)were included.Risk ratios(RR)with 95%confidence intervals(CI)were calculated.Results:Five phase Ⅲ trials(EORTC 55971,CHORUS,JCOG0602,SCORPION,TRUST)comprising 2296 patients met the inclusion criteria.PDS(n=1139)and NACT(n=1157)showed comparable OS(RR 0.99,95%CI 0.94-1.03,p=0.55,I2=0%)and DFS(PDS RR 0.98,95%CI 0.95-1.02,p=0.27,I2=0%).Subgroup analyses confirmed the absence of significant differences for patients with CC0(RR 0.96,95%CI 0.87-1.05,p=0.35,I2=0%),FIGO stage Ⅲ disease(RR 0.97,95%CI 0.92-1.03,p=0.34,I2=0%),or age under 70 years(RR 1.03,95%CI 0.97-1.09,p=0.38,I2=0%).Conclusions:PDS and NACT provide no significant survival outcomes in advanced ovarian cancer.No clear survival benefit for PDS was observed.Refinement of patient selection,integration of predictive biomarkers,and re-evaluation of PDS in the context of HIPEC and Poly-ADP-Ribose Polymerase(PARP)inhibitor use are warranted to guide individualized treatment strategies. 展开更多
关键词 Advanced ovarian cancer primary cyoreductive surgery neoadjuvant chemotherapy cytoreductive surgery randomized controlled trials
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