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Tianlong Jia, Hui Qin, Dong Yan, Zhendong Zhang, Bin Liu, Chaoshun Li, Jinwen Wang and Jianzhong Zhou
Traditional reservoir operation mainly focuses on economic benefits, while ignoring the impacts on navigation. Thus, the economic operation of reservoirs considering navigational demands is of great significance for improving benefits. A navigation capac...
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Sara Bensalem,Mohamed Lyes Kamel KHOUADJIA,Kamel Abdou,Ahmed Abderraouf Belkadi,Oussama Kessal
Pág. 145 - 154
The development of the building materials industry in Algeria and worldwide has opened up new commercial opportunities for waste recovery. Using recycled materials and natural resources such as expanded clay aggregates are increasingly seen as a solution...
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Roberta Prado Mendes, Leonardo Carvalho Mesquita, Maurício Pina Ferreira, Leandro Mouta Trautwein, Markssuel Teixeira Marvila and Marília Gonçalves Marques
In reinforced concrete flat slab buildings, the transference of unbalanced moments in the slab?column connections usually results from the asymmetry of spans, vertical loads, and horizontal forces from the wind. The punching strength of the slab?column c...
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Eyad K. Sayhood, Nisreen S. Mohammed, Salam J. Hilo and Salih S. Salih
This paper presents comprehensive empirical equations to predict the shear strength capacity of reinforced concrete deep beams, with a focus on improving the accuracy of existing codes. Analyzing 198 deep beams imported from 15 existing investigations, t...
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Aleksander Aristovnik, Dejan Rav?elj and Eva Murko
This research advances the field of digital government by developing and empirically validating a model for measuring the digital state of public administration, with a specific focus on Slovenia. Moving beyond traditional digital maturity models, our st...
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Chunru Cheng, Linbing Wang, Xingye Zhou and Xudong Wang
As the main cause of asphalt pavement distress, rutting severely affects pavement safety. Establishing an accurate rutting prediction model is crucial for asphalt pavement maintenance, pavement structure design, and pavement repair. This study explores f...
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Rejath Jose, Faiz Syed, Anvin Thomas and Milan Toma
The advancement of machine learning in healthcare offers significant potential for enhancing disease prediction and management. This study harnesses the PyCaret library?a Python-based machine learning toolkit?to construct and refine predictive models for...
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Ku Muhammad Naim Ku Khalif, Woo Chaw Seng, Alexander Gegov, Ahmad Syafadhli Abu Bakar and Nur Adibah Shahrul
Convolutional Neural Networks (CNNs) have garnered significant utilisation within automated image classification systems. CNNs possess the ability to leverage the spatial and temporal correlations inherent in a dataset. This study delves into the use of ...
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Mingzhe An, Yazhou Liu, Ge Zhang and Yue Wang
Unhydrated cementitious materials in high-performance concrete (HPC) and ultra-high-performance concrete (UHPC) undergo further hydration when they are further supplied with water. A further hydration experiment on cement pastes was conducted to study th...
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Gianluca Bochicchio, Luca Ferrari, Alberto Bottari, Francesco Lucertini, Valentina Cavedon, Chiara Milanese and Silvia Pogliaghi
Force?velocity profiling (F-v) evaluates muscle function through the identification of maximum force (F0), velocity (V0), power (Pmax) and optimal velocity (Vopt). The purpose of this study was to investigate the validity and feasibility of loaded 5 Sit-...
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