Advances in Surveying Topographically Complex Ecosystems with UAVs: Manta Ray Foraging Algorithms by Shijie Yang, Jiateng Yuan, Zhibo Chen, Hanchao Zhang, Xiaohui Cui

“…This study introduces an innovative UAV cruise data collection path planning approach using the manta ray foraging optimization (MRFO) algorithm to enhance efficiency and energy utilization in forest ecosystem monitoring. …”
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Environmental impacts of floating solar panels on freshwater systems and their techno-ecological synergies by Sofia M G Rocha, Alona Armstrong, Stephen J Thackeray, Rebecca R Hernandez, Andrew M Folkard

“…Renewable energy sources, such as floating photovoltaic systems (FPVs), are crucial to mitigating the climate crisis. …”
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Technological innovation and engineering practice of damage reduction mining and ecosystem restoration in open-pit coal mine by Quansheng Li, Xiaobin Li

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Technical approaches for enhancing thermal management of hybrid photovoltaic thermal systems: emerging trends and future prospects by Mukul Kant Paliwal, Sanjeev Jakhar, Arushi Dixit, Vikrant Sharma

“…This paper presents a comprehensive analysis of novel cooling technologies, offering insights into the optimisation of PV/T systems to improve performance, and serves as a key resource for professionals in renewable energy research and development. …”
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Electrolysers: A Review on Trends, Electrical Modeling, and Their Dynamic Responses by Mahyar Tofighi-Milani, Sajjad Fattaheian-Dehkordi, Matti Lehtonen

“…However, the intermittent nature of renewable energies poses challenges for demand-supply balance and grid stability, necessitating efficient storage solutions. …”
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Researches on the Optimal Process of Heat Pump Intermittent Drying by Zhao Haibo, Yang Zhao, Zhu Zongsheng

“…Heat pump intermittent drying(HPID) is an energy-efficient process with high quality products. …”
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Integrated Fast Reactor Analysis and Calculation of Neutronics-thermal Coupling by LI Haotian, WU Mingyu, WU Zongyun, ZHOU Zhiwei, HUO Xingkai, XIAO Yubai

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Dataset exploring the atomic scale structure and ionic dynamics of polyanion sodium cathode materials by Martin Hoffmann Petersen, Jin Hyun Chang, Arghya Bhowmik, Juan Maria García Lastra

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Electricity Losses in Focus: Detection and Reduction Strategies—State of the Art by Daniela F. Niste, Radu Tîrnovan, Sorin Pavel, Horia Beleiu, Cziker Andrei, Marius Misaroș

“…The significance of energy efficiency has become a prominent subject of interest across various disciplines, leading to a notable surge in research on electricity over the last decade. …”
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Visualizing digital twins of fusion power plants using NVIDIA Omniverse by Nitesh Bhatia, Rui Costa, Stanislas J. P. Pamela, Andrew Davis, Alejandra N. Gonzalez Beltran, Vignesh Gopakumar, Lorenzo Zanisi, Shaun de Witt, Robert Akers

“…In the future, this approach may extend to developing more efficient and reliable fusion energy systems.…”
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Exploring the Drive Motor of Electric Vehicles: Structure, Temperature Rises, and Operational Control of Permanent Magnet Motors by Zhongxian Chen, Jiayin Liu

“…The paper also verifies several future development directions for permanent magnet motors, including high-speed control, the use of advanced silicon steel sheets, power quality, battery charging efficiency, and energy feedback.…”
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Design and Analysis of CO2 Refrigeration System for Indoor Ice Rink with Heat Recovery by Yao Yao, Li Minxia, Dang Chaobin, Dong Liwei, Ma Yitai, Tian Hua, Wang Pai

“…The main energy requirements of indoor ice rinks are refrigeration and heat. …”
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Advancements and future prospects in the fundamental theories of rock blasting research Ⅳ — Damage evaluation by Renshu YANG, Chenglong XIAO, Jinjing ZUO, Guoying LI, Hao WANG, Peng XU, Chenxi DING, Yongliang LI, Yanbing WANG, Yong ZHAO, Shuai YOU, Zhen LIU, Yuantong ZHANG

“…Three-slit charges offer a higher explosive energy efficiency than traditional slit charges, which effectively breaks the rock within the excavation area while maintaining directional fractures. …”
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Assessing Critical Entities: Risk Management for IoT Devices in Ports by Ioannis Argyriou, Theocharis Tsoutsos

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Exploration of promising key electronic and nonlinear optical properties of bifluorenylidene based chromophores: a TD-DFT/DFT approach by Iqra Shafiq, Iram Irshad, Romaisa Zahid, Khalid Mahmood, Sarfraz Ahmed, Saifullah Bullo, Norah Alhokbany

“…The molecular structures of the designed derivatives were optimized at M06/6-311G(d, p) functional. Comprehensive theoretical analysis such as frontier molecular orbitals (FMOs), density of states (DOS), transition density matrix (TDM), binding energy (Eb), UV-Visible (UV-Vis), natural bond orbitals (NBOs) and nonlinear optical (NLO) properties were carried out at same functional mentioned above. …”
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Boron delivery agents in BNCT: A mini review of current developments and emerging trends by Rolemae M. Murilla, Gladys G. Edilo, Marco Laurence M. Budlayan, Eulogio S. Auxtero, Jr.

“…Despite the promise of this therapeutic approach, the development of efficient boron delivery agents remains a critical challenge. …”
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Eco-friendly nanocomposite of manganese-iron and plant waste derived biochar for optimizing Pb2+ adsorption: A response surface methodology approach by Muhammad Shafiq, Abdulrahman Ali Alazba, Muhammad Tahir Amin

“…Kinetic studies demonstrated that the pseudo-second-order model best described the chemisorption process, while intraparticle diffusion played a significant role. This comprehensive study advances the understanding of Pb²⁺ adsorption mechanisms and provides valuable insights for developing efficient biochar-based adsorbents for wastewater treatment applications.…”
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Simplifying life cycle Assessment: Basic considerations for approximating product carbon footprints based on corporate carbon footprints by Maximilian Schutzbach, Robert Miehe, Alexander Sauer

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High-fidelity learning-based motion cueing algorithm by bypassing worst-case scenario-based tuning technique by Mohammad Reza Chalak Qazani, Houshyar Asadi, Zoran Najdovski, Shehab Alsanwy, Muhammad Zakarya, Furqan Alam, Hassen M. Ouakad, Chee Peng Lim, Saeid Nahavandi

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Deep Learning-Based Prediction of Pitch Response for Floating Offshore Wind Turbines by Ruifeng Chen, Ke Zhang, Min Luo, Ye An, Lixiang Guo

“…The proposed approach achieves superior accuracy, with computational time approximately half that of the other two models, thereby highlighting its efficiency and effectiveness. The comprehensive framework, which encompasses feature selection, data processing, deep learning model construction, and interpretation, demonstrates significant potential for addressing a broad range of engineering problems through deep learning methodologies.…”
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