Re-use of Building Products in the Netherlands by Loriane Icibaci

“…It is a tool that facilitates future assessments on how to improve the recovery of products for reuse (illustrated by the case of wooden products); how to support decision making by practitioners and policymakers; how to detect the connectedness among different aspects of building product reuse. Ultimately it offers different paths to (re) generate additional evaluation or action with the aim to adapt the practice of reuse to changing conditions. …”
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Research on Parameter Extraction Method of Photovoltaic Module Based on Improved Hybrid Algorithm by Haitao Wu, Zhou Shang

“…Correct extraction of the equivalent circuit model parameters of photovoltaic modules is of great significance for power prediction, fault diagnosis, and system optimization of photovoltaic power generation systems. …”
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Review on atomistic and quantum mechanical simulation approaches in chemical mechanical planarization by Seokgyu Ryu, Murali Ramu, Patrick Joohyun Kim, Junghyun Choi, Kangchun Lee, Jihoon Seo

“…DFT calculations elucidate electronic structure-property relationships governing selectivity between different materials, while MD simulations capture real-time surface evolution and particle dynamics. …”
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Landslide Susceptibility Mapping in Darjeeling Himalayas, India by Amit Chawla, Sowmiya Chawla, Srinivas Pasupuleti, A. C. S. Rao, Kripamoy Sarkar, Rajesh Dwivedi

“…Landslide influencing factors in the study area are drainage, lineament, slope, rainfall, earthquake, lithology, land use/land cover, fault, valley, soil, relief, and aspect. These factors were evaluated for the generation of thematic data layers. …”
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Management and Operation Transformation of Urban Park Green Spaces from the Perspectives of Public Goods Provision and Fiscal Sustainability by Peiyi JIA

“…The research adopts a multi-dimensional analytical approach, combining historical – institutional analysis on the evolution of urban park green spaces, paying attention to the logic and backgrounds of policy-making, as well as relevant policies and regulations across different historical periods, and examining the evolutionary process of policy adjustments and their interplay with shifting societal demands about urban park green space.ResultsThe research delineates the systemic challenges driving the imperative for park governance reform, framed within three transformation shifts. …”
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Why insect pretarsi are equipped with two claws: Elastically connected claws and their interlocking dynamics with the rough substrate by Stanislav N. Gorb, Alexander Kovalev, Alexander E. Filippov

“…Using numerical modeling, this paper studies the attachment forces generated by gripping systems consisting of different numbers of claws on the craterous substrate texture. …”
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An RTM-Driven Machine Learning Approach for Estimating High-Resolution FAPAR From LANDSAT 5/7/8/9 Surface Reflectance by Guodong Zhang, Gaofei Yin, Yi Zhang, Jiangchuan Hu, Zongyan Li, Changjing Wang, Dujuan Ma, Jiangliu Xie

“…A coupled land–atmosphere RT model (RTM) and shuffled complex evolution optimization algorithm were first implemented at globally distributed VIIRS pixels for realistic simulation of land surface reflectance corresponding Landsat spectral bands and FAPAR under various conditions. …”
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Personalized brain models link cognitive decline progression to underlying synaptic and connectivity degeneration by Lorenzo Gaetano Amato, Alberto Arturo Vergani, Michael Lassi, Jacopo Carpaneto, Salvatore Mazzeo, Valentina Moschini, Rachele Burali, Giovanni Salvestrini, Carlo Fabbiani, Giulia Giacomucci, Giulia Galdo, Carmen Morinelli, Filippo Emiliani, Maenia Scarpino, Sonia Padiglioni, Benedetta Nacmias, Sandro Sorbi, Antonello Grippo, Valentina Bessi, Alberto Mazzoni

“…Through parameter optimization, we successfully replicated individual electroencephalography (EEG) responses recorded during task execution from 145 participants spanning different stages of cognitive decline. …”
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AI-driven modeling for predicting compressive strength of recycled aggregate concrete under thermal conditions for sustainable construction by Morteza Ghodratnama, Amir R. Masoodi, Amir H. Gandomi

“…The explicit mathematical equations generated through GEP offer practical applications for engineers involved in thermal design. …”
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UAV Path Planning: A Dual-Population Cooperative Honey Badger Algorithm for Staged Fusion of Multiple Differential Evolutionary Strategies by Xiaojie Tang, Chengfen Jia, Zhengyang He

“…Furthermore, to adapt to the evolving exploration requirements during the optimization process, LRMHBA employs a differential mutation strategy tailored to populations with different fitness values, utilizing elite individuals from the initialization stage to guide the mutation process. …”
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Machine Learning in the Design Decision-Making of Traditional Garden Space Renewal: A Case Study of the Classical Gardens of Jiangnan by Lina Yan, Liang Zheng, Xingkang Jia, Yi Zhang, Yile Chen

“…The generated results can provide multiple scheme comparisons for update decisions, helping managers to efficiently select the optimal solution. (3) Decision-makers can conduct space utilization analyses and evaluations based on the generated results. …”
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Study on the Organization and Wear Resistance of In718/(2Nb + 1SiC) Tool Composite Coating Based on Laser Cladding Technology by Haixia Yang, Ziyang Zhang, Guodong Huang

“…The results show that different melting powers significantly affect the phase structure and the generation of reinforcing phases in the In718/(2Nb + 1SiC) composite coatings. …”
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Diagenesis of organic-rich shale in Second Member of Kongdian Formation in Cangdong Sag and its influence on reservoir characteristics by FENG Guozheng, YAN Jihua, PU Xiugang, CHEN Shiyue, YIN Lingzhi, LA Weihao, HAN Wenzhong, ZHANG Wei

“…Organic acids induced by hydrocarbon generation are of great significance to the dissolution transformation and optimization of reservoirs， which are beneficial to the formation of high-quality shale reservoirs. …”
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Research on recycling value grading and real-time perception of rock debris from TBM tunneling by Weiqi Yue, Weilin Su, Zhanfei Gu, Xiao Qu

“…Leveraging a comprehensive database that encompasses both tunnel rock debris performance indicators and TBM tunneling parameters, perception models are constructed using different machine learning algorithms. After Bayesian hyperparameter optimization, the perception models based on CART, SVM, KNN, and ANN demonstrate accuracies of 67.5%, 80.0%, 82.5%, and 83.8% respectively. …”
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Urban Heat Island Effect: Remote Sensing Monitoring and Assessment—Methods, Applications, and Future Directions by Lili Zhao, Xuncheng Fan, Tao Hong

“…The paper first analyzes the formation mechanisms and impacts of urban heat islands, then traces the evolution of remote sensing technology from early traditional platforms such as Landsat and NOAA-AVHRR to modern next-generation systems, including the Sentinel series and ECOSTRESS, emphasizing improvements in spatial and temporal resolution and their application value. …”
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Expected Length of the Shortest Path of the Traveling Salesman Problem in 3D Space by Hongtai Yang, Xiaoqian Lu, Xinan Zhou, Rong Zheng, Yugang Liu, Siyu Tao

“…To fill this gap, this research focuses on developing models to estimate the expected length of the shortest path of 3D-TSP. First, different experimental scenarios are designed by combining different service areas and the number of demand points. …”
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A Constrained Solution Update Strategy for Multiobjective Evolutionary Algorithm Based on Decomposition by Yuchao Su, Qiuzhen Lin, Jia Wang, Jianqiang Li, Jianyong Chen, Zhong Ming

“…This paper proposes a constrained solution update strategy for multiobjective evolutionary algorithm based on decomposition, in which each agent aims to optimize one decomposed subproblem. Different from the existing approaches that assign one solution to each agent, our approach allocates the closest solutions to each agent and thus the number of solutions in an agent may be zero and no less than one. …”
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A Study on the Impact of Obstacle Size on Training Models Based on DQN and DDQN by Lu Siyu, Tao Ye, Zeng Junwei, Zuo Qihuan

“…Various parameters such as obstacle size and complexity influence the agent's performance, promoting efficient learning and policy optimization using both DQN and DDQN algorithms under different configurations. …”
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Free field Active Noise Control system development using a 3D Finite Element based approach by Budnik Maximilian, Mees Valentin

“…The presented three-dimensional (3D) Finite Element (FE) based simulation approach enables efficient ANC system design by generating valid data. It further allows for the optimization of control algorithms, evaluation of the attenuation performance, and methodical iteration of the overall concept design. …”
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Study on Dynamic Behavior Law and Microseismic Monitoring in Stoping Process of Roadway with High Gas and Wide Coal Pillar by Baobin Gao, Chuangnan Ren, Qun Dong, Liwei Chen

“…The vertical stress of coal seam at one side of the working face shows different evolution characteristics along the trend and strike. …”
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