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基于MOP-PLUS模型的湿地公园生态韧性多情景研究——以新济洲国家湿地公园为例 认领 引用 被引量：3
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作者 丁治凡 梁昊玥 +3 位作者 王博锐 秦嘉瑜 朱颖 汪辉 《生态学报》 CAS CSCD 北大核心 2026年第1期490-502,共13页
湿地公园兼顾了湿地保护与公众游憩的双重功能,是一种湿地保护的成功模式。近年来,我国开展了大量的湿地公园建设,但湿地生态系统脆弱敏感极易受到干扰,不科学的规划建设会导致湿地生态系统的整体衰退,因此对于湿地公园的规划建设需要... 湿地公园兼顾了湿地保护与公众游憩的双重功能,是一种湿地保护的成功模式。近年来,我国开展了大量的湿地公园建设,但湿地生态系统脆弱敏感极易受到干扰,不科学的规划建设会导致湿地生态系统的整体衰退,因此对于湿地公园的规划建设需要更加的慎重。加强湿地公园生态韧性以提高湿地生态系统抗干扰和恢复的能力,有利于湿地公园的健康可持续发展,从而实现生态保护与社会服务双重目标。基于此,以新济洲国家湿地公园为例,耦合MOP(多目标规划)与PLUS模型进行湿地公园生态韧性的情景研究。结果表明:(1)相比于历史趋势情景,湿地公园生态韧性情景下的生境质量情景与Shannon多样性情景均有大幅度的生态韧性提升;(2)综合优化情景可以兼顾生境质量与Shannon多样性,是生态韧性提升的最优参考;(3)MOP模型可以对PLUS模型不同情景条件进行定量约束得出更为客观的湿地公园情景模拟结果,可以实现规划建设结果的预测。研究结果与方法为湿地公园的规划建设与优化提供了科学依据,以期为湿地公园的可持续发展提供借鉴。 展开更多
关键词 湿地公园 情景规划 生态韧性 多目标规划(MOP) PLUS
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Quality-guaranteed Dubins Path Planning for USV Based on Mixed-integer Piecewise linear Programming for Addressing the Extended Minimum-time Intercept Problem 认领 引用 被引量：1
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作者 Xing Zhou Kelin Zhu +3 位作者 Shuang Liu Zhaoqing Li Wenxin Zhang Kang Du 《哈尔滨工程大学学报（英文版）》 CSCD 2026年第1期216-227,共12页
During the use of robotics in applications such as antiterrorism or combat,a motion-constrained pursuer vehicle,such as a Dubins unmanned surface vehicle(USV),must get close enough(within a prescribed zero or positive... During the use of robotics in applications such as antiterrorism or combat,a motion-constrained pursuer vehicle,such as a Dubins unmanned surface vehicle(USV),must get close enough(within a prescribed zero or positive distance)to a moving target as quickly as possible,resulting in the extended minimum-time intercept problem(EMTIP).Existing research has primarily focused on the zero-distance intercept problem,MTIP,establishing the necessary or sufficient conditions for MTIP optimality,and utilizing analytic algorithms,such as root-finding algorithms,to calculate the optimal solutions.However,these approaches depend heavily on the properties of the analytic algorithm,making them inapplicable when problem settings change,such as in the case of a positive effective range or complicated target motions outside uniform rectilinear motion.In this study,an approach employing a high-accuracy and quality-guaranteed mixed-integer piecewise-linear program(QG-PWL)is proposed for the EMTIP.This program can accommodate different effective interception ranges and complicated target motions(variable velocity or complicated trajectories).The high accuracy and quality guarantees of QG-PWL originate from elegant strategies such as piecewise linearization and other developed operation strategies.The approximate error in the intercept path length is proved to be bounded to h2/(4√2),where h is the piecewise length. 展开更多
关键词 Minimum-time intercept problem Dubins vehicle Mixed-integer piecewise-linear program Linearization Approximate error trigonometric function USV
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耦合MOP-RSEI-PLUS模型的资源型城市生态安全格局构建 认领 引用
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作者 李婷 毛艳 +2 位作者 韩添 李朝奎 从政 《环境科学与技术》 CAS CSCD 北大核心 2026年第1期235-247,共13页
资源型城市的生态安全格局关系到城市的可持续发展,是实现国家生态文明战略的关键。该研究以湖北省大冶市为例,耦合MOP-RSEI-PLUS模型预测2035年不同情景下的土地利用变化,并结合MSPA、景观连通性和电路理论,构建大冶市生态安全格局,通... 资源型城市的生态安全格局关系到城市的可持续发展,是实现国家生态文明战略的关键。该研究以湖北省大冶市为例,耦合MOP-RSEI-PLUS模型预测2035年不同情景下的土地利用变化,并结合MSPA、景观连通性和电路理论,构建大冶市生态安全格局,通过对比分析不同情景下的生态网络特征,提出优化建议。结果表明:不同情景下大冶市的土地利用结构整体相似,但在数量需求上存在显著差异。其中,可持续发展(SD)情景有望实现生态、环境与经济价值的最大化。从生态安全格局来看,SD情景下的生态源地面积最大,生态节点数量更多且分布更均衡,生态廊道平均长度减少,生态网络结构更加稳定和高效。基于最优情景,提出“一环三区多点”的生态安全格局,并通过叠置分析识别出11条稳定型生态廊道、8个关键生态节点及部分消失的生态廊道。在此基础上,针对生态风险提出保护措施,为大冶市国土空间规划与生态保护提供科学依据。 展开更多
关键词 生态安全格局 MOP模型 PLUS模型 RSEI模型 资源型城市
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非贵金属SiO2/MoP催化剂制备及高效分解甲醛制氢 认领 引用
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作者 彭绍琴 吴兆怡 +1 位作者 黄雅茜 李越湘 《南昌大学学报（理科版）》 CAS 2026年第3期251-259,共9页
本研究以MoP为前驱体,通过简单的正硅酸乙酯(TEOS)水解制备了SiO2/MoP复合催化剂并用于常温碱性甲醛溶液催化制氢。实验结果表明:亲水性SiO2修饰层显著提高了水分子与甲醛分子在催化剂表面的吸附,促进水分子解离生成羟基自由基(&#... 本研究以MoP为前驱体,通过简单的正硅酸乙酯(TEOS)水解制备了SiO2/MoP复合催化剂并用于常温碱性甲醛溶液催化制氢。实验结果表明:亲水性SiO2修饰层显著提高了水分子与甲醛分子在催化剂表面的吸附,促进水分子解离生成羟基自由基(·OH)和氢自由基(·H),从而驱动甲醛氧化及C-H键断裂。SiO2与MoP的协同作用为甲醛分解与氢气释放提供了双重促进路径。当0.1 mol/L TEOS异丙醇溶液添加量为10 mL,水解pH为9.0时,所得SiO2(10)/MoP-9复合催化剂表现出最优的析氢活性。与未修饰的MoP催化剂相比,析氢活性提升了58%,并在720 min内保持稳定催化性能。该工作通过构建具有明确结构与界面特性的SiO2/MoP复合材料,阐明了双组分的协同机制。 展开更多
关键词 非贵金属催化剂 SiO2/MoP 甲醛 析氢
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Reprogramming induced neurons from olfactory ensheathing glial cells: A feasible approach for spinal cord injury repair 认领 引用
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作者 Javier Sierra María Portela-Lomba +1 位作者 Diana Simón M.Teresa Moreno-Flores 《Neural Regeneration Research》 SCIE CAS CSCD 2026年第1期296-297,共2页
Every year, around the world, between 250,000 and 500,000 people suffer a spinal cord injury(SCI). SCI is a devastating medical condition that arises from trauma or disease-induced damage to the spinal cord, disruptin... Every year, around the world, between 250,000 and 500,000 people suffer a spinal cord injury(SCI). SCI is a devastating medical condition that arises from trauma or disease-induced damage to the spinal cord, disrupting the neural connections that allow communication between the brain and the rest of the body, which results in varying degrees of motor and sensory impairment. Disconnection in the spinal tracts is an irreversible condition owing to the poor capacity for spontaneous axonal regeneration in the affected neurons. 展开更多
关键词 injury feasible programming
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Multi-phase trajectory programming with divert capability for lunar lander powered descent 认领 引用
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作者 ZHANG Xiaowen WANG Dayi +2 位作者 HUANG Xiangyu LI Ji WANG Tianshu 《中国空间科学技术（中英文）》 CSCD 北大核心 2026年第3期143-156,共14页
It is important for a lunar lander to possess a large divert capability during the final landing phase,as this can enhance the tolerance for flight deviations in the early phase or improve the obstacle avoidance perfo... It is important for a lunar lander to possess a large divert capability during the final landing phase,as this can enhance the tolerance for flight deviations in the early phase or improve the obstacle avoidance performance.Therefore,when designing the powered descent trajectory,sufficient final phase divert capability should be reserved at the minimum propellant cost.To this end,a multi-phase trajectory programming(MPTP)method for powered descent with approaching phase divert capability is proposed.First,the entire powered descent trajectory is divided into the main braking phase and the approaching phase.The main braking phase is responsible for dissipating the majority of the initial velocity.The approaching phase is responsible for safely and precisely flying toward the landing site.It is nominally a vertical descent trajectory and possesses equal divert capability in all horizontal directions.Then,a constant-thrust linear tangent guidance(LTG)accounting for the lunar curvature is designed for the main braking phase.For the approaching phase,a variable-thrust lossless convex programming(LCP)guidance considering the constraints of tilt angle and glide-slope angle is developed.Subsequently,to connect the two phases and further optimize the propellant consumption throughout the entire trajectory,a method for determining the phase switching condition is proposed.The originally difficult-to-solve two-parameter optimization problem is decomposed into two more easily solvable subproblems,which are solved iteratively via a bilevel optimization framework.Finally,the divert capability of the proposed method is verified through numerical simulation.The programmed trajectory is basically consistent with the results of the pseudospectral method,with the difference in propellant consumption being only 0.006%.This method is suitable for the rapid iterative design of nominal trajectories for lunar lander powered descent in engineering applications. 展开更多
关键词 lunar landing powered descent trajectory programming multi-phase divert capability
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H∞Optimal Output Regulation of Unknown Linear Systems via an Adaptive Dynamic Programming and Internal Model 认领 引用
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作者 Yong-Sheng Ma Jian Sun Yong Xu 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2026年第6期1314-1324,共11页
This paper delves into the H∞optimal output regulation problem for continuous-time linear systems with an unknown system model.By integrating the internal model principle with optimal control,we derive an optimal con... This paper delves into the H∞optimal output regulation problem for continuous-time linear systems with an unknown system model.By integrating the internal model principle with optimal control,we derive an optimal control policy and a worst-case disturbance policy through the formulation and solution of a zero-sum game problem.Subsequently,leveraging adaptive dynamic programming,we propose a policy iteration learning algorithm capable of learning both the optimal control policy and the worst-case disturbance policy directly from system data.The existing algorithms necessitate an initial stabilizing policy,a full-rank condition,and the storage of historical data to guarantee algorithm convergence.In contrast,we design a dual policy iteration algorithm equipped with an online learning mechanism,thereby eliminating these additional prerequisites.Simulation results with an antonomous ground vehicle underscore the effectiveness of our proposed algorithm,and its superiority is further demonstrated through comparisons with existing methodologies. 展开更多
关键词 Adaptive dynamic programming internal model principle optimal control output regulation
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基于APTS-MoP/C核壳结构石墨电极的制备及对甲基硫菌灵的检测 认领 引用
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作者 温艳霞 吴锐 孙志超 《农药》 CAS CSCD 北大核心 2026年第1期51-56,共6页
[目的]建立一种针对甲基硫菌灵的电化学分析方法。[方法]将磷化钼(MoP)分散在3-氨基丙基三乙氧基硅烷(APTS)中,包覆石墨颗粒后形成具有核壳结构的材料,制成石墨电极并对蔬菜、水果、河流水样中的甲基硫菌灵进行农残检测。[结果]采用方... [目的]建立一种针对甲基硫菌灵的电化学分析方法。[方法]将磷化钼(MoP)分散在3-氨基丙基三乙氧基硅烷(APTS)中,包覆石墨颗粒后形成具有核壳结构的材料,制成石墨电极并对蔬菜、水果、河流水样中的甲基硫菌灵进行农残检测。[结果]采用方波伏安法测得甲基硫菌灵的响应电流与浓度在8.0~500µmol/L成线性,检出限为6.4×10-3µmol/L,RSD在1.6%~4.6%之间,回收率达98.7%~103.3%。[结论]硅烷偶联剂-磷化钼/石墨电极(APTS-MoP/CPE)相比裸碳糊电极(CPE)传递阻抗Rct值减小至1/10。比表面积、有效电极面积增大至2.8、2.6倍,并且该方法能够对蔬菜、水果等样品中的甲基硫菌灵进行快速检测。 展开更多
关键词 甲基硫菌灵 磷化钼 3-氨基丙基三乙氧基硅烷 电分析方法
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Open-loop control of combustion instabilities in a full-scale annular ramjet combustor using linear genetic programming 认领 引用
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作者 Jianguo TAN Zheng XU +2 位作者 Yao LIU Dongdong ZHANG Yi HOU 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第2期20-28,共9页
The operational demands of a wide range significantly exacerbate combustion instability issues within ramjet combustor.To suppress combustion oscillations,an open-loop control system utilizing Linear Genetic Programmi... The operational demands of a wide range significantly exacerbate combustion instability issues within ramjet combustor.To suppress combustion oscillations,an open-loop control system utilizing Linear Genetic Programming(LGP)has been developed for a full-scale annular ramjet combustor.The LGP is used to generate control laws that include multi-frequency forcing.These laws are then transformed into square waves to actuate the solenoid valve,which modulates the kerosene supply for open-loop control.The results show that the duty cycle has little effect on instability amplitude,whereas an increase in frequency leads to a remarked reduction in combustion amplitude.After five generations evolvements,the pressure amplitude is reduced by 40.6% under the optimal control law generated by LGP.Furthermore,the machine learning process is depicted using a proximity map of control law similarity,with the search pathway visualized by the steepest descent.All individuals go forward to the upper left corner of the map with the evolution process,terminating at the optimal individual of the fifth generation. 展开更多
关键词 Annular ramjet combustor Combustion instabilities Linear genetic programming Machine learning Open-loop control
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Thermal performance optimization in CuO-water nanofluid enclosure with sinusoidal heating using deep learning and multi-expression programming 认领 引用
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作者 Naeem Ullah Aneela Bibi +1 位作者 Yufeng Nie Dianchen Lu 《Acta Mechanica Sinica》 SCIE EI CAS CSCD 2026年第5期24-48,共25页
Natural convection in enclosures containing nanofluids has attracted significant attention due to its relevance in thermal management systems.In this context,this study presents a comprehensive numerical investigation... Natural convection in enclosures containing nanofluids has attracted significant attention due to its relevance in thermal management systems.In this context,this study presents a comprehensive numerical investigation of flow and heat transfer in a square cavity saturated with water-based CuO nanofluid having a centrally placed sinusoidal-shaped heated element.All the enclosure walls satisfy the no-slip velocity condition.Thermally,the vertical walls are kept at a cold reference temperature,the lower wall is partially heated at its center,and the remaining portions of the lower and entire upper walls are adiabatic.The internal sinusoidal element is also uniformly heated.The flow dynamics and thermal fields are governed by the two-dimensional steady-state Navier-Stokes and energy equations,solved using the Galerkin finite element method.Additionally,a novel hybrid approach integrating multi-expression programming(MEP)technique with a convolutional neural network bidirectional gated recurrent unit(CNN-BiGRU)deep learning network is also applied to enhance flow and thermal prediction accuracy.This hybrid approach enables precise evaluation of how heater waviness,magnetic field orientation,and nanoparticle dispersion influence flow structure and heat transfer.Results reveal stronger convection at high Rayleigh numbers,magnetic damping at increased Hartmann numbers,and higher temperatures with reduced velocity at greater nanoparticle concentrations.Among the analyzed situations,increasing heater waviness improves heat-transfer performance.Both the MEP and CNN-BiGRU models accurately capture the key features of flow and heat transport trends,indicating that the hybrid approach provides enhanced predictive capability for complex convection-driven nanofluid systems. 展开更多
关键词 Magnetohydrodynamic convection Nanofluid flow simulation Sinusoidal heated source Deep learning Multi-expression programming
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Entry trajectory optimization for cross-domain morphing vehicles by hybrid sequential second-order cone programming 认领 引用
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作者 Zheng Li Zhenyue Jia +2 位作者 Zheng Fang Hongmiao Zhou Jianqiao Yu 《Defence Technology（防务技术）》 SCIE EI CAS CSCD 2026年第4期149-175,共27页
This paper proposes a hybrid sequential second-order cone programming(HSSOCP)method with a three-layer scheme for the entry trajectory optimization of the cross-domain morphing vehicles(CDMVs).By defining the new morp... This paper proposes a hybrid sequential second-order cone programming(HSSOCP)method with a three-layer scheme for the entry trajectory optimization of the cross-domain morphing vehicles(CDMVs).By defining the new morphing rate control variable and using relaxation techniques to relax the bank angle constraint,the SOCP-based entry problem is constructed.A dynamic relaxation penal-ization technique is developed in the first layer to overcome artificial infeasibility and significantly enhance initialization robustness.A novel standard oscillation identification(SOI)method is proposed to precisely identify the iteration oscillations of basic SSOCP in the second layer,which can significantly improve the solution accuracy.A soft-trust-region strategy is applied in the third layer to eliminate oscillations and accelerate convergence.Simulation results of two scenarios demonstrate that the proposed SOI method effectively avoids non-standard oscillation interference versus traditional methods.The morphing aircraft can complete tasks better with a 7.01%and 10.43%reduction in heat load respectively compared to fixed-wing aircraft.The HSSOCP method can maintain accuracy while reducing computation time by 63.47%and 73.86%versus VATSSOCP.Monte Carlo simulations further validate the robustness. 展开更多
关键词 Cross-domain vehicle Morphing vehicle Entry trajectory optimization Sequential second-order cone programming Iteration oscillation Hybrid scheme
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Entry trajectory optimization for cross-domain morphing vehicles using oscillation-avoidance-based multistage trust-region sequential convex programming 认领 引用
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作者 Zheng LI Zheng FANG +1 位作者 Zhenyue JIA Jianqiao YU 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2026年第4期310-333,共24页
This paper develops an Oscillation-avoidance-based Multistage Trust-region Sequential Convex Programming(OMTSCP)method for the highly nonlinear entry trajectory optimization problem of Cross-Domain Morphing Vehicles(C... This paper develops an Oscillation-avoidance-based Multistage Trust-region Sequential Convex Programming(OMTSCP)method for the highly nonlinear entry trajectory optimization problem of Cross-Domain Morphing Vehicles(CDMVs).The decoupling of states and controls for complex nonlinear dynamics is achieved by defining new control and state variables.A series of sub convex problems is formulated by successive linearization and discretization of the constraints.The proposed Trust-region Sequential Convex Programming(TSCP)scheme consists of three stages:an initial guess generation stage,a basic solution stage,and an optimal solution stage.An approach to penalize the dynamic relaxation is firstly developed to obtain an initial guess with considerable accuracy and significantly improve the robustness of the algorithm by overcoming the drawbacks of potential artificial infeasibility.The oscillation phenomenon of the TSCP method under rectangular trust region is then investigated,and a novel N-shape-based oscillation identification method is proposed to identify the oscillation accurately.Finally,an oscillation-avoidance method based on the sort trust-region is proposed to improve the convergence of the TSCP algorithm.Numerical comparisons of the proposed method and a typical TSCP method,as well as the morphing and fixed-morphing vehicles are provided to demonstrate the effectiveness and efficiency of the proposed method and the performance advantages of the morphing vehicle.The robustness of the method is further verified by Monte Carlo simulation. 展开更多
关键词 Convex optimization Cross-domain vehicle Entry trajectory optimization Morphing vehicle Multistage Oscillation phenomenon Trust-region sequential convex programming
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基于MOP-PLUS模型的合肥市多情景生态系统服务价值评估 认领 引用
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作者 於冉 韩有有 +2 位作者 张茜 吴攀 王成 《安庆师范大学学报（自然科学版）》 2026年第2期87-94,共8页
探究不同情景下国土空间格局演变对生态系统服务价值的影响,对国土空间布局优化和可持续发展能力提升具有指导意义。文章以合肥市为例,耦合MOP和PLUS模型以预测2035年自然发展、经济发展、生态保护和可持续发展四种情景下的国土空间格局... 探究不同情景下国土空间格局演变对生态系统服务价值的影响,对国土空间布局优化和可持续发展能力提升具有指导意义。文章以合肥市为例,耦合MOP和PLUS模型以预测2035年自然发展、经济发展、生态保护和可持续发展四种情景下的国土空间格局,并采用当量因子法分析不同格局演变对生态系统服务价值的影响。结果表明:2000—2020年,合肥市土地利用类型转变主要发生在耕地、林地和建设用地之间,其中耕地向建设用地转变尤为显著;2035年模拟预测结果显示,可持续发展情景下土地利用结构更合理,可供参考本市土地资源规划。各情景生态系统服务价值高低排序依次为生态保护情景、可持续发展情景、经济发展情景、2020年现状、自然发展情景。其中,自然发展情景具有一定的规划警示作用,而可持续发展情景在满足城市经济发展要求的同时也满足生态环境需求,是适用于合肥市未来规划的最优情景。 展开更多
关键词 国土空间规划 生态系统服务价值 MOP模型 PLUS模型 合肥市
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基于MOP模型的企业技术机会识别研究 认领 引用
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作者 慕生清 施国良 《情报杂志》 CSSCI 北大核心 2026年第2期140-148,共9页
在全球化竞争加剧的市场环境中,技术赋能的精准对接是提升企业创新能力的关键问题。专精特新企业面临技术短板,而领军企业虽具备技术优势,但资源匹配效率低下。因此,本研究提出“地图构建—机会发现—专利推荐”三层模型(MOP),以系统性... 在全球化竞争加剧的市场环境中,技术赋能的精准对接是提升企业创新能力的关键问题。专精特新企业面临技术短板,而领军企业虽具备技术优势,但资源匹配效率低下。因此,本研究提出“地图构建—机会发现—专利推荐”三层模型(MOP),以系统性解决技术供需错配问题。首先,基于生成式拓扑映射(GTM)构建专利地图,实现技术分布的可视化解析;其次,结合“技术空白识别”(余弦相似度算法)与“技术融合挖掘”(链接预测方法)双路径,识别潜在技术机会;最后,通过需求映射、专利筛选及优先级排序,形成定制化专利推荐方案。在新能源汽车领域的实证研究中,模型成功识别出5项技术空白和5项高潜力技术融合方向,并推荐适配性专利。研究表明,MOP模型显著提升了技术赋能的精准性,为专精特新企业与领军企业的协同创新提供了方法论支持。 展开更多
关键词 技术机会识别 MOP模型 专利地图 链接预测 领军企业 新能源汽车
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Laser-induced in situ reprogramming of magnetic shape memory composites for adaptive devices 认领 引用
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作者 Qianqian Zhang Rui Li +5 位作者 Yuan Tao Yiyu Chen Yanlei Hu Dong Wu Jiaru Chu Jiawen Li 《International Journal of Extreme Manufacturing》 SCIE EI CAS CSCD 2026年第1期767-779,共13页
Programmableeprogrammable magneto-responsive composites(MRCs)are highly desirable for applications in soft robotics,morphable actuators,and biomedical devices due to their capabilities of undergoing reversible,complex... Programmableeprogrammable magneto-responsive composites(MRCs)are highly desirable for applications in soft robotics,morphable actuators,and biomedical devices due to their capabilities of undergoing reversible,complex,untethered,and rapid deformations.However,current MRC-based devices primarily rely on soft matrices,which revert to their original shapes and cease functioning when external magnetic fields are removed.Moreover,their magnetization programming,deformations,and functioning need to alternate between encoding and actuation platforms,limiting the adaptability and efficiency.Here,we present a reprogrammable magnetic shape-memory composite(RM-SMC)integrating a shape-memory polymer(SMP)skeleton with phase-transition magnetic microcapsules.High-intensity laser melts microcapsules for magnetic realignment under programmed fields,while low-intensity laser softens SMP for structural reconfiguration without compromising integrity.This dual-laser strategy facilitates in situ magnetization programming,shape morphing,and function execution within a single material system.Our innovative approach enables unique applications,including omnidirectional multi-degree-of-freedom actuators that can activate light switches,solar trackers that optimize energy capture,and adaptive impellers that modulate fluid pumping.By eliminating platform alternation and enabling shape/function retention post-actuation,the RM-SMC platform overcomes critical limitations in conventional MRCs,establishing a paradigm for multifunctional devices requiring persistent configuration control and field-independent operation. 展开更多
关键词 magneto-responsive composites shape memory polymer in situ programming and deformation omnidirectional multi-degree of freedom actuator adjustable fluid pumping
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Genetic programming-driven damage state prediction for slender rectangular reinforced concrete structural walls 认领 引用
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作者 Nabajit Sarkar Kaustubh Dasgupta 《Earthquake Engineering and Engineering Vibration》 SCIE EI CSCD 2026年第2期431-447,共17页
Structures located in high seismic zones often utilize reinforced concrete(RC)frame-wall systems for improved lateral strength and stiffness,whereby the structural walls serve as a critical component of the lateral lo... Structures located in high seismic zones often utilize reinforced concrete(RC)frame-wall systems for improved lateral strength and stiffness,whereby the structural walls serve as a critical component of the lateral load resisting system.To effectively assess the potential vulnerability of structural systems across different levels of seismic demands,it is important to establish clear,quantitative thresholds for specific damage states,especially for the critical structural components within a building system.The currently available damage state definitions for RC structural walls are based on empirical limits and do not provide predictions for damage thresholds based on key design characteristics of a wall.To address this challenge,the present study employs genetic programming(GP),a form of artificial intelligence,to formulate accurate expressions for drift prediction for various damage states,using a dataset of 8,125 analytically studied specimens of RC structural walls.These expressions take into account the effects of various design characteristics,such as wall aspect ratio,axial load ratio,boundary element longitudinal reinforcement ratio,web longitudinal reinforcement ratio,and ratio of boundary element length to wall length in determining deformation limits.The developed prediction models have been evaluated for accuracy and validity using various statistical measures.In addition,the proposed equations have been compared with other available deformation limits in relevant design standards and the available literature to predict experimental results of RC wall components.The findings of these analyses indicate that the developed expressions provide significantly higher accuracy and superior predictions compared to existing empirical damage state definitions. 展开更多
关键词 RC structural wall damage state threshold genetic programming drift level parameterized damage state expression
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Insights into Student Perceptions of Error Feedback and Improvement Preferences in Online Programming Education 认领 引用
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作者 Li Zhang Tianze Wang +1 位作者 Jing Jiang Yufei Zhou 《计算机教育》 2026年第3期176-189,共14页
Online programming platforms are popular in programming education.However,there has been no research investigating students’real opinions and expectations of the error feedback mechanisms,leaving educators without a ... Online programming platforms are popular in programming education.However,there has been no research investigating students’real opinions and expectations of the error feedback mechanisms,leaving educators without a solid data foundation when attempting to improve the error feedback mechanisms.This paper makes a survey of 834 students across various programming courses and investigates student perceptions of error feedback mechanisms on online programming platforms.It explores the effectiveness of existing feedback,student satisfaction,and preferences for potential improvements,focusing on automatic error localization and program repair mechanisms.Results reveal a significant portion of students are dissatisfied with current feedback due to its limited informativeness.Students also express a clear demand for stronger feedback mechanisms,such as error localization and repair hints.Nevertheless,they prefer feedback that subtly guides them toward solutions,rather than providing direct and explicit answers,valuing the opportunity to enhance their debugging skills.The findings suggest a need for balanced,educational-focused feedback mechanisms that aid learning while promoting independent problem-solving. 展开更多
关键词 Error feedback Online programming education Program error localization Automated program repair
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From recursion to tabulation:Rethinking how we teach dynamic programming 认领 引用
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作者 Jiang Long 《计算机教育》 2026年第6期302-311,共10页
This paper proposes an intuitive,modular teaching framework for dynamic programming(DP).Beginning with the fundamental concept of recursion,the framework leverages dependency graphs to visually illustrate structural r... This paper proposes an intuitive,modular teaching framework for dynamic programming(DP).Beginning with the fundamental concept of recursion,the framework leverages dependency graphs to visually illustrate structural relationships among subproblems.This visual approach helps students intuitively grasp the underlying logic of tabulation,enabling them to independently determine correct tabulation orders.The plug-and-play design significantly reduces the barrier to learning,while strengthening students'analytical thinking and problem-solving skills.The effectiveness of this method is demonstrated through classroom application using classic examples such as the longest common subsequence(LCS),matrix chain multiplication(MCM),and rod cutting problems. 展开更多
关键词 Dynamic programming Plug-and-play framework Algorithm pedagogy Computer science education
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Global Optimization Algorithm for Minimizing Linear Fractional Programming 认领 引用
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作者 ZHAO Peng SHEN Pei-ping ZHONG Zhe-wei 《Chinese Quarterly Journal of Mathematics》 2026年第1期50-59,共10页
In this paper,we study a class of Linear Fractional Programming on a nonempty bounded set,called the Problem(LFP),and design a branch and bound algorithm to find the global optimal solution of the problem(LFP).First,w... In this paper,we study a class of Linear Fractional Programming on a nonempty bounded set,called the Problem(LFP),and design a branch and bound algorithm to find the global optimal solution of the problem(LFP).First,we convert the problem(LFP)to the equivalent problem(EP2).Secondly,by applying the linear relaxation technique to the problem(EP2),the linear relaxation programming problem(LRP2Y)was obtained.Then,the overall framework of the algorithm is given,and the convergence and complexity of the algorithm are analyzed.Finally,experimental results are listed to illustrate the effectiveness of the algorithm. 展开更多
关键词 Global optimization Linear Fractional Programming Branch and bound algorithm Linear relaxation
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Exploration of Blended Teaching Practice in the Course of Fundamentals of Programming 认领 引用
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作者 Yongrui Cui 《Journal of Contemporary Educational Research》 2026年第2期198-205,共8页
The“Fundamentals of Programming”course employs a blended learning model that integrates online resources with offline instruction to enhance students’self-directed learning and practical skills.Powered by knowledge... The“Fundamentals of Programming”course employs a blended learning model that integrates online resources with offline instruction to enhance students’self-directed learning and practical skills.Powered by knowledge graphs,the curriculum enables personalized learning paths where students autonomously design their study plans,while instructors dynamically adjust teaching strategies based on learning data to achieve precision education.The gamified practice platform transforms grammar training into immersive gaming experiences,significantly boosting learning engagement and practical retention.The teaching strategy adopts tiered cultivation,combining macro-level projects with micro-level knowledge points to strengthen computational thinking and practical abilities.Implementation results demonstrate improved mastery of knowledge points,continuous enhancement of coding and debugging skills,and markedly strengthened learning motivation.This model creates a closed-loop system for knowledge transfer and competency development,laying a solid foundation for subsequent specialized courses.It embodies innovative concepts of knowledge graph-driven learning,gamified practice,and tiered cultivation,effectively fostering students’self-directed learning drive and critical thinking. 展开更多
关键词 Blended learning Fundamentals of Programming Knowledge graph Gamified learning Computational thinking
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