Granular activated carbon (GAC)-driven microbial electron shuttle boosts denitrification and mitigates N2O in cold and carbon-limited biofilm system by Xiangyu Yang, Mingchen Yao, Peng Li, Jan Peter van der Hoek, Lujing Zhang, Gang Liu

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Evaluating Rhodopseudomonas palustris, Saccharomyces cerevisiae, and Bacillus licheniformis as substitutes for microalgae food source: Impacts on growth, survival, gut microbiota,... by Shiyu Yan, Shizhao Du, Wanyi Song, Guolong Zhou, Chaohua Wang, Hanfeng Zheng, Zhengyi Li, Huan Yang, Yihua Chen, Zhiguo Dong

“…The cultivation of microalgae is constrained by factors such as temperature and light intensity, which imposes huge economic burdens and risks on shellfish farming. Food source microorganisms have been extensively utilized across various aquaculture sectors as alternatives to microalgae food source, demonstrating positive effects. …”
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Utilizing a defective MgO layer for engineering multifunctional Co-MOF hybrid materials with tailored leaf-like and polyhedral structures for optimal electrochemical and photocatal... by Mohammad Aadil, Muhammad Ali Khan, Safira Ananda Repycha, Mosab Kaseem

“…The concentrations of the organic linker 2-Methylimidazole (2,MIm) and cobalt nitrate as a source of Co2+ ions were varied to control the growth of the obtained Co-MOF. …”
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Multi-Terminal Coordinated Frequency Support Strategy for Alternating Current/Direct Current Hybrid Voltage Source Converter-Based Multi-Terminal Direct Current System by Xilin Zhao, Maoyuan Du

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Multi-Stage and Multi-Objective Optimization of Solar Air-Source Heat Pump Systems for High-Rise Residential Buildings in Hot-Summer and Cold-Winter Regions by Zhen Wang, Jiaxuan Wang, Chenxi Lv

“…This helps to improve the energy utilization efficiency of the system. For the economy of the system, the increase in the collector area and the reduction in the heat production of the air source heat pump in the second stage, as well as the increase in the volume of the water tank, have combined to reduce the operating costs of the system and improve its economy. …”
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Flood susceptibility mapping leveraging open-source remote-sensing data and machine learning approaches in Nam Ngum River Basin (NNRB), Lao PDR by Sackdavong Mangkhaseum, Yogesh Bhattarai, Sunil Duwal, Akitoshi Hanazawa

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Algorithm for Acoustic Wavefield in Space-Wavenumber Domain of Vertically Heterogeneous Media Using NUFFT by Ying Zhang, Shikun Dai

“…Balancing efficiency and accuracy is often challenging in the numerical solution of three-dimensional (3D) point source acoustic wave equations for layered media. …”
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Optimization and Modification of Bacterial Cellulose Membrane from Coconut Juice Residues and Its Application in Carbon Dioxide Removal for Biogas Separation by Wipawee Dechapanya, Kamontip Wongsuwan, Jonathon Huw Lewis, Attaso Khamwichit

“…Driven by environmental and economic considerations, this study explores the viability of utilizing coconut juice residues (CJRs), a byproduct from coconut milk production, as a carbon source for bacterial cellulose (BC) synthesis in the form of a versatile bio-membrane. …”
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Optimization and antioxidant evaluation of clean and efficient recovery of polyphenols from Phellodendron amurense waste leaves via ultrasound-assisted extraction by Huimin Huo, Haiying Bao, Jingnan Li, Hongwei Li

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RETRACTED: Assessing Multidimensional Energy Poverty and Its Economic Impact on N11 Countries: Mediating Role of Energy Efficiency by Manh Pham Hong, Kuan-Ting Wang, Khurshid Khudoykulov, Lam Minh Trung, Thanh Quang Ngo, Thanh Quang Ngo, Tran Thai Ha Nguyen, Tran Thai Ha Nguyen

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Cylindrospermopsin adsorption onto activated carbons synthesized from coconut shell: Effect of surface chemical composition on removal efficiency by Helzalyce R Novaes, Marcos J Prauchner, Yovanka P Ginoris

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Enhancing sustainable residential energy practices through the implementation of an energy-efficient labelling system for domestic consumers in Sri Lanka by Rafius Zamaan, Tharanga Wickramarathna

“…The study exposes a lack of awareness and understanding of energy usage among domestic consumers, emphasizing the potential benefits of integrating renewable energy sources and implementing time-of-use tariffs for optimizing efficiency. …”
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Assessing and forecasting the efficiency of Russian banks (2000–2026): A DEA, panel data, and Monte Carlo simulation approach by Jalal Abu-Alrop

“…The study concludes that funding sources, associated costs and leverage are the most important factors affecting the efficiency of Russian banks.…”
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Spatiotemporal coupling and regional differences analysis between agricultural land use efficiency and rural revitalization in the Yellow River Basin by Shuai Liu, Hao Zhang, Guoxin Jiang

“…Accordingly, this study utilizes panel data from 62 cities in the Yellow River Basin covering 2013 to 2022. …”
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The effect of product design on recycling efficiency of lithium-ion batteries through structural equation modeling and life cycle assessment by Haitao Chen, Yongxun Yang, Zhaohui Dong

“…The research compares recycling efficiency across different battery types, including traditional designs, cell-to-pack (CTP), and cell-to-body (CTB), utilizing multi-group analysis. …”
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Efficient Frequency Management for Hybrid AC/DC Power Systems Based on an Optimized Fuzzy Cascaded PI−PD Controller by Awadh Ba Wazir, Sultan Alghamdi, Abdulraheem Alobaidi, Abdullah Ali Alhussainy, Ahmad H. Milyani

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Active Support Strategies for Power Supply in Extreme Scenarios with Synergies Between Idle and Emergency Resources in the City by Ruifeng Zhao, Jiangang Lu, Yizhe Chen, Yifan Gao, Ming Li, Chengzhi Wei, Junhao Li

“…Moreover, the strategy enables efficient utilization and economic dispatch of urban idle and emergency resources while improving system reliability.…”
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Software refactoring prediction evaluation method based on deep learning models by Yichi ZHANG, Yang ZHANG, Yanlei LI, Kun ZHENG, Wei LIU

“…Finally, each model was evaluated based on accuracy, precision, recall, and F1-measure.The results show that the average accuracy, precision, recall, and F1-measure of the five deep learning models for predicting refactoring are all above 93%, with the highest accuracy in predicting the extract subclass refactoring, and the CNN model has a higher average accuracy compared to other models. The CNN model is efficient for software refactoring prediction evaluation, which provides reference for future utilization of deep learning models in assisting with completing refactoring recommendation tasks.…”
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Identification and grading method of HCAs in gas pipelines based on multisource data fusion by Haoran TANG, Junnan XIONG, Zhiwei YONG, Wenjie CHEN, Aoru LIU, Qisheng WANG, Huiwen XIAO, Rongkang WANG

“…The spatial analysis feature and attribute processing capabilities of GIS were utilized to calculate building areas and integrate spatial and attribute data. …”
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Effect of Replacing Inorganic Copper, Zinc, and Selenium with Chelated Minerals on Productive Performance, Nutrient Utilization, Tibia Morphology, and Intestinal Histology of Growi... by Carlos A. Gaona rodríguez, Hugo Bernal Barragán, Nydia C. Vásquez aguilar, Adriana Morales Trejo, Miguel Cervantes Ramírez, Cecilia Ramírez Hernández, Humberto González Rodríguez, Emilio Olivares Sáenz, Jesús J. Hernández escareño

“…This study evaluated the impact of replacing inorganic mineral sources of Cu, Zn, and Se with chelated organic minerals (OM) on performance, nutrient and mineral utilization rates, and intestinal morphometry in growing Japanese quails (Coturnix japonica). …”
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