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Alessio Siciliano, Giulia Maria Curcio and Carlo Limonti
The pollution of water by nitrates represents an important environmental and health issue. The development of sustainable technologies that are able to efficiently remove this contaminant is a key challenge in the field of wastewater treatment. Chemical ...
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Slavica Stevanovic, Jelena Minovic, Isidora Ljumovic
Research Question: This paper examines the impact of liquidity on the profitability of the Serbian polluting medium sized enterprises. Motivation: We study the impact of traditional liquidity indicators and indicators based on cash flow on the profitabil...
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Wenhua Yuan, Lianjie Ji, Long Meng, Min Fang and Xiangchi Zhang
Pervious concrete is an innovative eco-friendly construction material. Through the application of mineral admixtures and microscopic analysis to optimize its performance and analyze its mechanisms, its traits as a sustainable building option may be furth...
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Davinder Malhotra and Srinivas Nippani
This study investigates the risk-adjusted performance of energy equity mutual funds across a 23-year period, employing the Cumulative Wealth Index (CWI) to gauge their long-term performance relative to benchmark indices. Despite inherent volatility due t...
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Subin Kim, Heejin Hwang, Keunyeong Oh and Jiuk Shin
The seismically deficient column details in existing reinforced concrete buildings affect the overall behavior of the building depending on the failure type of the column. The purpose of this study is to develop and validate a machine-learning-based pred...
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Xin Zhang, Dongmin Yu, Kaifei Zhu, Aolai Zhao and Minghao Ren
The pile-bucket composite foundation represents an innovative foundation form that surpasses the horizontal bearing performance of both single bucket-shaped foundations and pile foundations. The intricate interplay between piles and buckets introduces th...
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Yong Liu, Xiaohui Yan, Wenying Du, Tianqi Zhang, Xiaopeng Bai and Ruichuan Nan
The current work proposes a novel super-resolution convolutional transposed network (SRCTN) deep learning architecture for downscaling daily climatic variables. The algorithm was established based on a super-resolution convolutional neural network with t...
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Chunyun Shen, Jiahao Zhang, Chenglin Ding and Shiming Wang
By combining computational fluid dynamics (CFD) and surrogate model method (SMM), the relationship between turbine performance and airfoil shape and flow characteristics at low flow rate is revealed. In this paper, the flow velocity tidal energy airfoil ...
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Carla Oliveira Henriques, Maria Elisabete Neves and João Jorge Couceiro
This paper examines the efficiency of alternative energy equity Exchange-Traded Funds (ETFs) and conventional energy equity ETFs from 2018 to 2020, utilizing a combination of an output-oriented Slack-Based Data Envelopment Analysis (DEA) model and cluste...
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Touraj Farsadi, Majid Ahmadi, Melin Sahin, Hamed Haddad Khodaparast, Altan Kayran and Michael I. Friswell
In the field of aerospace engineering, the design and manufacturing of high aspect ratio composite wings has become a focal point of innovation and efficiency. These long, slender wings, constructed with advanced materials such as carbon fiber and employ...
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