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Three-dimensional cooperative guidance law with practical predefined-time approach angle and time-to-go convergence 认领 引用 被引量：1
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作者 Zihao WU Wei FENG +3 位作者 Xiaofeng ZHANG Wenxing FU Zhang REN Tuo HAN 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第5期530-546,共17页
This paper presents a Three-Dimensional(3D)cooperative guidance law with Practical Predefined-Time(PPT)convergence for multiple missiles considering approach angle(terminal lineof-sight)and simultaneous arrival constr... This paper presents a Three-Dimensional(3D)cooperative guidance law with Practical Predefined-Time(PPT)convergence for multiple missiles considering approach angle(terminal lineof-sight)and simultaneous arrival constraints.To achieve a salvo attack against a maneuvering target from various directions,the guidance problem is tackled by addressing two critical factors:ensuring that the time-of-arrival is consistent and that the desired approach angles can be met.Considering the short duration of the homing guidance process,the convergence with predefined time for guidance states(especially the approach angle and time-to-go)is factored in.First,for the simultaneous arrival,a PPT guidance law is developed,which can meet the same time-to-go convergence rate in the Line-of-Sight(LOS)direction.Then,in the normal LOS direction,a 3D PPT guidance law is presented considering the approach angle constraint so that the desired approach angles can be reached within a user-designed time.The time-based generator technique is employed in the proposed PPT Cooperative Guidance Law(PPTCGL)to avoid the time-varying gain singularity issue.Notably,this technique can allow the convergence time to be preset in advance,independent of initial system conditions and tuning parameters.Additionally,to avoid excessive gain and improve the robustness of guidance law,a PPT disturbance observer is designed against uncertainties and target maneuvers so that the guidance system perturbation can be compensated in real time.It is userfriendly that the convergence of disturbance estimation can be met with a flexible pre-setting time before achieving the terminal guidance constraints.Finally,extensive numerical simulations are conducted to verify the effectiveness and robustness of the proposed PPTCGL in both the nominal cases and the Monte Carlo test. 展开更多
关键词 Approach angle constraint Cooperative guidance law Maneuvering target Practical predefined-time consensus Three-dimensional guidance model
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Thermal investigation of water-based radiative magnetized micropolar hybrid nanofluid flow subject to impacts of the Cattaneo–Christov flux model on a variable porous stretching sheet with a machine learning approach 认领 引用
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作者 Showkat Ahmad Lone Zehba Raizah +3 位作者 Rawan Bossly Fuad SAlduais Afrah Al-Bossly Arshad Khan 《Chinese Physics B》 SCIE EI CAS CSCD 2025年第6期357-375,共19页
This work investigates water-based micropolar hybrid nanofluid(MHNF) flow on an elongating variable porous sheet.Nanoparticles of diamond and copper have been used in the water to boost its thermal conductivity. The m... This work investigates water-based micropolar hybrid nanofluid(MHNF) flow on an elongating variable porous sheet.Nanoparticles of diamond and copper have been used in the water to boost its thermal conductivity. The motion of the fluid is taken as two-dimensional with the impact of a magnetic field in the normal direction. The variable, permeable, and stretching nature of sheet's surface sets the fluid into motion. Thermal and mass diffusions are controlled through the use of the Cattaneo–Christov flux model. A dataset is generated using MATLAB bvp4c package solver and employed to train an artificial neural network(ANN) based on the Levenberg–Marquardt back-propagation(LMBP) algorithm. It has been observed as an outcome of this study that the modeled problem achieves peak performance at epochs 637, 112, 4848, and 344 using ANN-LMBP. The linear velocity of the fluid weakens with progression in variable porous and magnetic factors.With an augmentation in magnetic factor, the micro-rotational velocity profiles are augmented on the domain 0 ≤ η < 1.5 due to the support of micro-rotations by Lorentz forces close to the sheet's surface, while they are suppressed on the domain 1.5 ≤ η < 6.0 due to opposing micro-rotations away from the sheet's surface. Thermal distributions are augmented with an upsurge in thermophoresis, Brownian motion, magnetic, and radiation factors, while they are suppressed with an upsurge in thermal relaxation parameter. Concentration profiles increase with an expansion in thermophoresis factor and are suppressed with an intensification of Brownian motion factor and solute relaxation factor. The absolute errors(AEs) are evaluated for all the four scenarios that fall within the range 10-3–10-8 and are associated with the corresponding ANN configuration that demonstrates a fine degree of accuracy. 展开更多
关键词 MHD fluid hybrid nanofluid Cattaneo–Christov flux model variable porous surface micropolar fluid brownian motion and thermophoresis ANN approach
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AI-augmented electrochemical model for lithium-ion battery:Recent advances and perspectives 认领 引用
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作者 Juncheng Fu Zhengxiang Song +4 位作者 Jinhao Meng Jia Guo Kun Yang Wenchao Liu Le Huan 《Journal of Energy Chemistry》 SCIE EI CAS CSCD 2026年第2期1056-1080,I0021,共25页
With the rapid development of electric vehicles and grid-scale renewable integration,the demand for lithium-ion batteries(LIBs)has significantly increased with high expectations on enhanced energy density,cycle stabil... With the rapid development of electric vehicles and grid-scale renewable integration,the demand for lithium-ion batteries(LIBs)has significantly increased with high expectations on enhanced energy density,cycle stability,and failure resilience.Electrochemical models(EMs),serving as pivotal mechanismdriven analytical frameworks in battery research and applications,demonstrate unprecedented quantitative fidelity in characterizing intricate multi-physics dynamics for the next-generation battery management systems(BMS).The breakthrough innovations in artificial intelligence(AI)driven methods have revolutionized the dynamic modeling of LIBs.However,the deployment of AI-augmented EMs in BMS faces significant identifiability challenges due to strong parameter coupling.In addition,research on model simplification,parameter determination,and dynamic parameter identification remains largely fragmented.There is a lack of a comprehensive review to pave the way for the cross-domain innovations in BMS.To fill this gap,this paper presents a systematic review of the EMs for LIBs and examines the advancements in parameter determination techniques from both experimental measurement and numerical simulation perspectives.Besides,a comprehensive assessment of the progress in parameter identification from the standpoint of dynamic recognition is presented,encompassing both modelbased approaches and intelligent methods.Additionally,from the BMS standpoint,the strengths and limitations of existing approaches are evaluated.Finally,a coordinated framework for multi-stage identification needs to be established in the future.The potential of digital twins(DT),deep reinforcement learning(DRL),and large language models(LLMs)in enhancing EMs also warrants further exploration.The purpose of this work is to provide insights and guidance for the future development of EMs in LIB applications. 展开更多
关键词 Lithium-ion battery Parameterization Dynamic electrochemical model Intelligent approach
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A Scale Separation Hybrid Predictive Model and Its Application to Predict Summer Monthly Precipitation in Northeast China 认领 引用
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作者 Lei YU Aihui WANG Changzheng LIU 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2026年第3期504-528,共25页
Northeast China serves as an important crop production region.Accurately forecasting summer precipitation in Northeast China(NEC-PR)has been a challenge due to its wide range of time scales influenced by varying clima... Northeast China serves as an important crop production region.Accurately forecasting summer precipitation in Northeast China(NEC-PR)has been a challenge due to its wide range of time scales influenced by varying climatic conditions.This study presents a scale separation hybrid statistical model with recurrent neural network(SS-RNN)to predict the summer monthly NEC-PR.The SS-RNN model decomposes the multiple scales of the NEC-PR into several spatiotemporal intrinsic mode functions covering annual to decadal time scales.This strategy provides a way to derive appropriate predictors and establish predictive models for the primary spatial modes of the NEC-PR at various time scales.Our results demonstrate substantial improvements by the SS-RNN model in predicting the summer monthly NEC-PR as compared with dynamic models,particularly in predicting the spatial pattern of the NEC-PR.In this paper we take August,the month of the highest NEC-PR,to assess our model skill.Independent forecasts of the August NEC-PR over the period 2021–24 achieve significant spatial anomaly correlation coefficients,reaching a maximum value of 0.83.Additional verifications by station observations show that the model hits most station anomalies,achieving a mean predictive skill score of 90. 展开更多
关键词 Northeast China precipitation scale separation approach statistical predictive model recurrent neural network predictive model
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Bayesian multivariate track geometry degradation modeling and its use in condition-based inspection 认领 引用
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作者 Huy Truong‑Ba Sinda Rebello +2 位作者 Michael E.Cholette Venkat Reddy Pietro Borghesani 《Railway Engineering Science》 EI 2026年第2期217-241,共25页
Effective maintenance of railway infrastructure is crucial for safe and comfortable transportation.Among the various degradation modes,track geometry deformation due to repeated loading significantly impacts operation... Effective maintenance of railway infrastructure is crucial for safe and comfortable transportation.Among the various degradation modes,track geometry deformation due to repeated loading significantly impacts operational safety.Detecting and maintaining acceptable track geometry involve the use of track recording vehicles(TRVs)that inspect and record geometric parameters.This study aims to develop a novel track geometry degradation model that considers multiple indicators and their correlations,accounting for both imperfect manual and mechanized tamping.A multivariate Wiener model is formulated to capture the characteristics of track geometry degradation.To address data limitations,a hierarchical Bayesian approach with Markov Chain Monte Carlo(MCMC)simulation is employed.This research contributes to the analysis of a multivariate predictive model,which considers the correlation between the degradation rates of multiple indicators,providing insights for rail operators and new track-monitoring systems.The model’s performance is validated through a real-world case study on a commuter track in Queensland,Australia,using actual data and independent test datasets.Additionally,the study demonstrates the application of the proposed multivariate degradation model in developing a condition-based inspection policy for track geometry,potentially reducing the number of TRVs runs while maintaining abnormal detection levels and failure rates. 展开更多
关键词 Track geometry degradation Multivariate degradation model Multivariate wiener process Bayesian approach Degradation prediction
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N-soliton solutions and asymptotic analysis for the massive Thirring model in laboratory coordinates via the Riemann-Hilbert approach 认领 引用 被引量：1
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作者 Yuan Li Min Li +2 位作者 Tao Xu Ye-Hui Huang Chuan-Xin Xu 《Communications in Theoretical Physics》 SCIE CAS CSCD 2025年第6期30-50,共21页
In this paper,the N-soliton solutions for the massive Thirring model(MTM)in laboratory coordinates are analyzed via the Riemann-Hilbert(RH)approach.The direct scattering including the analyticity,symmetries,and asympt... In this paper,the N-soliton solutions for the massive Thirring model(MTM)in laboratory coordinates are analyzed via the Riemann-Hilbert(RH)approach.The direct scattering including the analyticity,symmetries,and asymptotic behaviors of the Jost solutions as|λ|→∞andλ→0 are given.Considering that the scattering coefficients have simple zeros,the matrix RH problem,reconstruction formulas and corresponding trace formulas are also derived.Further,the N-soliton solutions in the reflectionless case are obtained explicitly in the form of determinants.The propagation characteristics of one-soliton solutions and interaction properties of two-soliton solutions are discussed.In particular,the asymptotic expressions of two-soliton solutions as|t|→∞are obtained,which show that the velocities and amplitudes of the asymptotic solitons do not change before and after interaction except the position shifts.In addition,three types of bounded states for two-soliton solutions are presented with certain parametric conditions. 展开更多
关键词 massive thirring model Riemann-Hilbert approach N-soliton solutions asymptotic analysis bounded states
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基于i-Tree Eco与CASA模型的城市公园尺度植被碳汇评估对比 认领 引用
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作者 吕晓倩 巩松平 +1 位作者 韩旭坤 汪瑞军 《中国城市林业》 2026年第2期85-92,共8页
【目的】分析i-Tree Eco模型和CASA模型在城市公园尺度植被碳汇评估上的实际表现,为城市绿地碳汇评估方法提供参考。【方法】以合肥市杏花公园为例,基于详细的每木调查和Sentinel-2提供的10 m分辨率多光谱遥感数据,分别采用两种模型计... 【目的】分析i-Tree Eco模型和CASA模型在城市公园尺度植被碳汇评估上的实际表现,为城市绿地碳汇评估方法提供参考。【方法】以合肥市杏花公园为例,基于详细的每木调查和Sentinel-2提供的10 m分辨率多光谱遥感数据,分别采用两种模型计算并比较15.49 hm-2常绿落叶阔叶混交林植物群落的固碳量(CO2固定量)。【结果】调查共记录木本植物67种,3954株。i-Tree Eco模型计算的年总固碳量为166.08 t,每公顷年固碳量为10.72 t,CASA模型计算的年总固碳量为114.46 t,每公顷年固碳量为7.39 t。减去群落中下层植株固碳量,i-Tree Eco模型计算的年总固碳量为116.47 t,与CASA模型十分接近。【结论】i-Tree Eco模型虽更能反映公园尺度植被碳汇的真实水平,但与CASA模型组合使用、分层计算,能够综合二者在评估准确性与便捷性上的优势,从而为城市公园尺度植被固碳量计算方法的应用和拓展提供了新思路。 展开更多
关键词 城市公园 碳汇评估 i-Tree Eco模型 CASA模型
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基于CASA模型的西廒沟小流域NPP时空变化特征 认领 引用
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作者 高玉凤 李金峰 +3 位作者 王锦志 李冰 刘林 王静杰 《山西水土保持科技》 2026年第2期11-16,共6页
植被净初级生产力(NPP)常被作为陆地植被生产力状况乃至生态系统碳汇状况的重要表征指标。文章以山西省西廒沟小流域为研究区,基于改进的CASA遥感模型反演该流域的植被净初级生产力(NPP),揭示了1990—2023年西廒沟小流域植被NPP时空变... 植被净初级生产力(NPP)常被作为陆地植被生产力状况乃至生态系统碳汇状况的重要表征指标。文章以山西省西廒沟小流域为研究区,基于改进的CASA遥感模型反演该流域的植被净初级生产力(NPP),揭示了1990—2023年西廒沟小流域植被NPP时空变化特征。结果表明,1990—2023年西廒沟小流域的NPP年平均值总体呈显著上升趋势,最高值出现在2020年,最低值在1990年。研究区年均NPP具有显著的空间异质性,呈西北高、东南低的空间分布格局,小流域大部分区域为空间自相关不显著区域,说明流域范围内的NPP变化受人类活动的影响较大。研究区的NPP总体以增长为主,增幅面积占比高达86.33%,其中,显著(P<0.05)或极显著(P<0.01)增加的面积占59.82%。研究结果为小流域碳减排工作和碳汇发展提供理论数据和参考。 展开更多
关键词 小流域 CASA模型 NPP 时空变化
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基于CASA模型的海北州近25 a植被NPP时空分布特征 认领 引用
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作者 金显玲 马扶林 +2 位作者 傅永超 张欢 孙丰海 《青海草业》 2026年第2期80-87,共8页
青藏高原东北缘高寒草地生态系统对气候变化与人类活动响应机制尚不清晰。本研究基于CASA模型,融合MOD13A1 NDVI、气象及太阳辐射等多源数据,估算了2000~2024年海北州500 m分辨率的植被NPP,并系统分析了其时空变化特征。结果表明:(1)研... 青藏高原东北缘高寒草地生态系统对气候变化与人类活动响应机制尚不清晰。本研究基于CASA模型,融合MOD13A1 NDVI、气象及太阳辐射等多源数据,估算了2000~2024年海北州500 m分辨率的植被NPP,并系统分析了其时空变化特征。结果表明:(1)研究区NPP空间上呈“中南高、北部低”的显著分异格局,与地形和植被类型密切相关,多年均值为388.73 gC/(m2·a);(2)县域尺度上,门源县均值最高(430.73 gC/(m2·a)),而祁连县贡献了最大的碳汇总量(101.70 TgC,占全州的37.99%);(3)海北州NPP呈显著上升趋势,且2016年后持续高于多年均值,表明植被生产力已进入高值稳定阶段。近25 a来海北州植被生产力与碳汇能力整体呈增强趋势。本研究为认识高寒草地生态系统生产力演变特征及区域碳汇管理提供了定量依据。 展开更多
关键词 植被净初级生产力 CASA模型 高寒草地 碳汇功能 海北州
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Quantum phase transitions with eigen microstate approach in one-dimensional transverse-field Ising model 认领 引用
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作者 Zhongshan Su Yuan Jiang +5 位作者 Gaoke Hu Yue-Hua Su Liangsheng Li Wen-Long You Maoxin Liu Xiaosong Chen 《Chinese Physics B》 SCIE EI CAS CSCD 2025年第8期652-657,共6页
We propose an eigen microstate approach(EMA)for analyzing quantum phase transitions in quantum many-body systems,introducing a novel framework that does not require prior knowledge of an order parameter.Using the tran... We propose an eigen microstate approach(EMA)for analyzing quantum phase transitions in quantum many-body systems,introducing a novel framework that does not require prior knowledge of an order parameter.Using the transversefield Ising model(TFIM)as a case study,we demonstrate the effectiveness of EMA by identifying key features of the phase transition through the scaling behavior of eigenvalues and the structure of associated eigen microstates.Our results reveal substantial changes in the ground state of the TFIM as it undergoes a phase transition,as reflected in the behavior of specific componentsξi(k)within the eigen microstates.This method is expected to be applicable to other quantum systems where predefining an order parameter is challenging. 展开更多
关键词 eigen microstate approach quantum phase transition transverse-field Ising model
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基于CASA模型的黄土高原植被生产力时空动态及其对气候因子的响应 认领 引用 被引量：2
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作者 范雯萱 刘金成 《北京林业大学学报》 CAS CSCD 北大核心 2026年第4期13-22,共10页
【目的】黄土高原作为典型生态脆弱区,在全球气候变化和退耕还林还草工程实施20年的背景下,其植被净初级生产力(NPP)的演变规律与核心驱动机制尚不明晰。本研究聚焦NPP时空动态、气候响应及未来趋势,旨在为区域生态恢复的精准调控提供... 【目的】黄土高原作为典型生态脆弱区,在全球气候变化和退耕还林还草工程实施20年的背景下,其植被净初级生产力(NPP)的演变规律与核心驱动机制尚不明晰。本研究聚焦NPP时空动态、气候响应及未来趋势,旨在为区域生态恢复的精准调控提供科学支撑。【方法】基于Carnegie-Ames-Stanford Approach(CASA)模型估算2000—2020年黄土高原NPP,结合Theil-Sen趋势分析、Mann-Kendall显著性检验、Hurst指数及Pearson相关分析,系统探究NPP长时序时空演变特征及对气候因子的响应机制。【结果】(1)黄土高原NPP年均值为318.49 g/(m2·a)(以C计,下同),在空间上呈东南高、西北低的分布格局,高值区集中于水热优越的山西南部、关中平原等地,低值区分布于干旱少雨的鄂尔多斯高原等地;(2)2000—2020年NPP整体呈显著上升趋势,年均增速为6.34 g/(m2·a),其中林地增速最快,为7.63 g/(m2·a),极显著增加区域占比60.77%,集中于陕北榆林、延安等退耕还林重点实施区,印证了生态工程的显著成效;(3)Hurst指数预测显示,61.08%区域NPP未来可能由上升转为下降,35.28%区域未来可能持续性上升;(4)降水是NPP增加的核心驱动因子,95.24%区域呈正相关,而气温对干旱区植被生长存在抑制作用,明晰了半干旱区气候驱动的区域分异规律。【结论】黄土高原在退耕还林还草工程实施20年间植被恢复成效显著,未来需重点关注61.08%区域的生态逆转风险。本研究为区域生态恢复成效评估及适应性管理提供了科学依据,对于完善全球碳循环研究体系、推动区域可持续发展具有十分重要的意义。 展开更多
关键词 气候变化 植被净初级生产力(NPP) 时空演变 CASA模型 黄土高原
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Integrating Multiple Time Step Method and Implicit Solvent Model for Molecular Dynamics Simulations of Proteins 认领 引用
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作者 Zihan He Bo-Wen Yin +2 位作者 Bin-Bin Xie Lin Shen Wei-Hai Fang 《Chinese Journal of Chemical Physics》 SCIE EI CAS CSCD 2026年第3期433-447,共15页
In this work,we integrated the multiple time step(MTS)approach with the generalized Born(GB)implicit solvent model for molecular dynamics(MD)simulations of protein systems.The total forces for the protein systems can ... In this work,we integrated the multiple time step(MTS)approach with the generalized Born(GB)implicit solvent model for molecular dynamics(MD)simulations of protein systems.The total forces for the protein systems can be decomposed into two terms:slow forces corresponding to the solvation energy term in GB,and fast forces relevant to potential energy in vacuum.An integrator with the reversible Trotter decomposition scheme,in which the former is determined each N steps and used for the next N1 steps,was performed on MD simulations of four protein systems with different secondary structures.It was observed that the results using MTS until N=4 are in good agreement with the reference simulations in which each force term is updated at each step.We further compared the performances of four widelyused GB models:STILL,HCT,OBC and GRYCUK,in the framework of GB-MTS.The influence of different Born radius calculation methods is usually more significant than that of the MTS approach. 展开更多
关键词 Multiple time step approach Generalized Born implicit solvent model Molecu-lar dynamics simulations
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Measurement-based building-block behavioral modeling of passive photonic circuits from magnitude-only responses 认领 引用
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作者 RUIGUANG LI HONG DENG +2 位作者 RUPING CAO WIM BOGAERTS YINGHAO YE 《Photonics Research》 SCIE EI CAS CSCD 2026年第7期3037-3049,共13页
Accurate frequency-domain characterization is essential for reliable modeling of photonic integrated circuits(PICs).In practice,PIC measurements are often performed using a tunable laser and an optical power meter,pro... Accurate frequency-domain characterization is essential for reliable modeling of photonic integrated circuits(PICs).In practice,PIC measurements are often performed using a tunable laser and an optical power meter,providing only magnitude responses and no phase information,which hinders the construction of physically consistent frequency-and time-domain models.This paper presents a robust approach that directly constructs rational models from magnitude-only frequency responses,ensuring that the resulting models share the same magnitude response as the PIC under study.Unlike existing methods based on magnitude-squared fitting and spectral factorization,which are frequently degraded by imaginary-axis zeros,the proposed method synthesizes a minimum-phase realization by explicitly handling these zeros.The synthesized phase is not the true physical phase;however,it is consistent with the Kramers–Kronig relations corresponding to the given magnitude response,thereby enabling the direct use of standard S-parameter approximation techniques to generate rational behavioral models.The resulting models can be applied to modulated signal transmission simulations in wavelength-division multiplexed(WDM)telecommunication scenarios. 展开更多
关键词 photonic integrated circuits pics passive photonic circuits robust approach optical power meterproviding magnitude only responses tunable laser frequency domain characterization rational models
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Two Causal-Modeling Approaches to Indicative Conditionals 认领 引用
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作者 ChingHui Su 《逻辑学研究》 CSSCI 2025年第6期43-61,共19页
Recently there have been two causal modelling approaches to indicative conditionals,i.e.extrapolationist(Deng&Lee,2021)and filterist(Liang&Wang,2022),although they all take an interventionist position on subju... Recently there have been two causal modelling approaches to indicative conditionals,i.e.extrapolationist(Deng&Lee,2021)and filterist(Liang&Wang,2022),although they all take an interventionist position on subjunctive conditionals.Motivated by the so-called OK pairs,they try to provide a convincing explanation of the intuition underlying the OK pairs.As far as we know,what they have done is to provide not only an explanation of the OK pairs,but also a way of distinguishing between indicative and subjunctive conditionals.Although we agree with their success in explaining the OK pairs within a causal modelling framework,we argue that their ways of distinguishing between indicative and subjunctive conditionals fail.Instead,we argue that their approaches can be used to distinguish between two readings of conditionals,the epistemic reading and the ontic reading.which can be applied to both indicative and subjunctive conditionals.We conclude by arguing that these two readings are related to two approaches to asking and answering causal questions:the“auses-of-effects"approach and the"effects-of-causes"approach. 展开更多
关键词 subjunctive conditionals extrapolationist causal modelling approaches epistemic reading causal modeling filterist indicative subjunctive con ok pairs
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Parameter Estimation of a Tumor Growth Model under Data-driven Approach and Its Numerical Solution in Matlab 认领 引用
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作者 Zhuo Chen Yihan Zeng +3 位作者 Wei Chen Ruixian Zheng Zejun Du Meibao Ge 《Journal of Clinical and Nursing Research》 2025年第4期50-56,共7页
This paper focuses on the numerical solution of a tumor growth model under a data-driven approach.Based on the inherent laws of the data and reasonable assumptions,an ordinary differential equation model for tumor gro... This paper focuses on the numerical solution of a tumor growth model under a data-driven approach.Based on the inherent laws of the data and reasonable assumptions,an ordinary differential equation model for tumor growth is established.Nonlinear fitting is employed to obtain the optimal parameter estimation of the mathematical model,and the numerical solution is carried out using the Matlab software.By comparing the clinical data with the simulation results,a good agreement is achieved,which verifies the rationality and feasibility of the model. 展开更多
关键词 MATLAB Tumor growth model Data-driven approach Ordinary differential equation
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A Blended Teaching Model for College English Teaching Based on the Production-Oriented Approach 认领 引用
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作者 Jia Song Chunhua Ren 《Journal of Contemporary Educational Research》 2025年第7期324-329,共6页
Social development puts forward higher requirements for students’English application ability and cultural literacy.This study proposes an innovative“3+2+1”blended teaching model integrating the production-oriented ... Social development puts forward higher requirements for students’English application ability and cultural literacy.This study proposes an innovative“3+2+1”blended teaching model integrating the production-oriented approach(POA)to address key challenges in college English cultural courses at application-oriented universities.The model combines three phases(pre-class,in-class,and post-class),two dimensions(online resources and offline interaction),and one overarching goal(all-round education).Through experimental implementation at three universities,results demonstrated significant improvements in student satisfaction,autonomous learning engagement,and crosscultural competence.This research provides a replicable template for enhancing both linguistic proficiency and cultural confidence in EFL contexts. 展开更多
关键词 College English teaching Blended teaching model Production-oriented approach
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A state-of-the-art Fuzzy Nonlinear Additive Regression(FNAR)model for groundwater level prediction 认领 引用
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作者 Sepideh Zeraati Neyshabouri Abbas Khashei-Siuki Mohammad Ghasem Akbari 《Journal of Groundwater Science and Engineering》 2026年第1期83-99,共17页
Groundwater modeling remains challenging due to heterogeneity and complexity of aquifer systems,necessitating endeavors to quantify Groundwater Levels(GWL)dynamics to inform policymakers and hydrogeologists.This study... Groundwater modeling remains challenging due to heterogeneity and complexity of aquifer systems,necessitating endeavors to quantify Groundwater Levels(GWL)dynamics to inform policymakers and hydrogeologists.This study introduces a novel Fuzzy Nonlinear Additive Regression(FNAR)model to predict monthly GWL in an unconfined aquifer in eastern Iran,using a 19-year(1998–2017)dataset from 11 piezometric wells.Under three distinct scenarios with progressively increasing input complexity,the study utilized readily available climate data,including Precipitation(Prc),Temperature(Tave),Relative Humidity(RH),and Evapotranspiration(ETo).The dataset was split into training(70%)and validation(30%)subsets.Results showed that among three input scenarios,Scenario 3(Sc3,incorporating all four variables)achieved the best predictive performance,with RMSE ranging from 0.305 m to 0.768 m,MAE from 0.203 m to 0.522 m,NSE from 0.661 to 0.980,and PBIAS from 0.771%to 0.981%,indicating low bias and high reliability.However,Sc2(excluding ETo)with RMSE ranging from 0.4226 m to 0.9909 m,MAE from 0.3418 m to 0.8173 m,NSE from 0.2831 to 0.9674,and PBIAS from−0.598%to 0.968%across different months offers practical advantages in data-scarce settings.The FNAR model outperforms conventional Fuzzy Least Squares Regression(FLSR)and holds promise for GWL forecasting in data-scarce regions where physical or numerical models are impractical.Future research should focus on integrating FNAR with deep learning algorithms and real-time data assimilation expanding applications across diverse hydrogeological settings. 展开更多
关键词 Birjand aquifer Data-scarce regions Fuzzy-based approach Groundwater table Novel statistical model Soft computing
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Defining subcellular synovial responses in TMJ osteoarthritis onset via mechanical stress and articular disk derangement models 认领 引用
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作者 Kazuhiro Shibusaka Soichiro Negishi +8 位作者 Asuka Terashima Miki Maemura Hiroshi Yoshida Masahiro Hosonuma Nobuhiro Sakai Young Kwan Kim Yutaka Suzuki Hiroyuki Okada Fumiko Yano 《International Journal of Oral Science》 SCIE CAS CSCD 2026年第2期275-292,共18页
Temporomandibular joint osteoarthritis(TMJ-OA),the most common degenerative disease of the TMJ,is influenced by various adaptive,inflammatory,and mechanical stressors.In this study,we describe molecular alterations of... Temporomandibular joint osteoarthritis(TMJ-OA),the most common degenerative disease of the TMJ,is influenced by various adaptive,inflammatory,and mechanical stressors.In this study,we describe molecular alterations of the synovium of the articular disk in response to mechanical and inflammatory stimuli.Using an integrated transcriptomic approach combining subcellular spatial transcriptomics and single-cell RNA sequencing in murine models of mechanical stress and articular disk derangement,we characterized synovial changes associated with adipogenesis,fibrosis,and macrophage activation.In addition,cell type–and cluster–specific catabolic changes were observed under these stress conditions,suggesting potential contributions to TMJ-OA onset.These results provide a methodology-oriented resource for investigating the molecular pathology of TMJ disorders and may help guide future studies toward the development of targeted therapeutic strategies. 展开更多
关键词 articular disk derangementwe temporomandibular joint osteoarthritis tmj oa molecular alterations synovium articular disk murine models mechanical stress integrated transcriptomic approach subcellular spatial transcriptomics degenerative disease
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Exploration of the POA + 5E Model in English Teaching for Art Postgraduates Empowered by AI 认领 引用
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作者 ZHANG Huiqin YANG Shanru 《Journal of Literature and Art Studies》 2026年第2期112-116,共5页
With the rapid advancement of Artificial Intelligence(AI)technologies,addressing persistent challenges within traditional English instruction for postgraduate students has become imperative.Responding to these pedagog... With the rapid advancement of Artificial Intelligence(AI)technologies,addressing persistent challenges within traditional English instruction for postgraduate students has become imperative.Responding to these pedagogical shortcomings,this study integrates AI tools into an instructional framework that synergizes the Production-Oriented Approach(POA)with the 5E instructional model(Engage,Explore,Explain,Elaborate,Evaluate).Grounded in the principles of student-centered and leveraging the guiding role of instructors,this hybrid model facilitates active knowledge construction among learners.Consequently,it establishes an intelligent,output-driven,and discipline-integrated teaching loop designed to enhance students’intrinsic motivation for English learning and improve their proficiency in Academic English communication. 展开更多
关键词 Artificial Intelligence empowerment Production-Oriented Approach(POA) 5E instructional model
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Innovations in management models for smart construction sites, driven by IoT data 认领 引用
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作者 ZHOU Wei 《外文科技期刊数据库（文摘版）工程技术》 2026年第5期006-010,共5页
This paper focuses on the development of smart construction sites, providing a detailed exploration of how IoT technology can drive innovation and improvement in management practices. It first clarifies the fundamenta... This paper focuses on the development of smart construction sites, providing a detailed exploration of how IoT technology can drive innovation and improvement in management practices. It first clarifies the fundamental concepts and historical context of smart construction sites, emphasizing the critical role of IoT data in enhancing the precision and intelligence of site management. The study further highlights that such management enhancements have become an inevitable trend. Addressing prominent challenges in current smart construction management—including decentralized data collection, severe information silos, low collaboration efficiency between systems, and traditional methods' inadequacy in meeting dynamic construction demands—the paper conducts thorough analysis and research. To tackle these issues, researchers have developed a data-driven management improvement framework supported by IoT technologies. This system encompasses comprehensive implementation strategies for data collection and transmission, establishment of a unified data center integrating multi-source information, and advanced data applications throughout the entire construction process. The paper elaborates on leveraging data to drive management innovation, proposing concrete implementation approaches such as real-time monitoring of worker conditions, machinery operations, and material usage patterns with proactive risk alerts. Finally, it advocates for data sharing to facilitate efficient collaboration among project stakeholders, optimize resource allocation, and ensure successful project execution and achievement of objectives. This paper conducts an in-depth and comprehensive analysis of the practical effectiveness of innovative management models, focusing on specific measures to ensure data security and effectively promote standardization. 展开更多
关键词 Smart construction site IoT data Management model innovation Data-driven approach Construction management
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