Role of mineral resource rents, renewable energy, and energy efficiency toward carbon neutrality in China by Asif Raihan, Grzegorz Zimon, Mohammad Ridwan, Md Masudur Rahman, Mahdi Salehi

“…In order to effectively address global warming, policymakers and practitioners must prioritize the allocation of funds to the creation of green and alternative energy sources, the improvement of energy effectiveness, and the optimization of resource utilization.…”
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Peculiarities of the Functioning of the Taboo Lexicon in the Modern Western Cinematography by S. A. Pankratova

“…The implementation presupposes analysis of taboo lexical units, revealing their functioning features as regards to acceptable implementation of the taboo and to depict the possible ways of optimization of its use in modern cinema.Methodology and sources. …”
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Dynamic Modeling and Simulation of Wind Turbine Unit Primary Frequency Regulation Considering Multi-domain Coupling Characteristics by Zhanyang JI, Yang HU, Lingxing KONG, Ziqiu SONG, Dan DENG, Jizhen LIU

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Client Selection in Federated Learning on Resource-Constrained Devices: A Game Theory Approach by Zohra Dakhia, Massimo Merenda

“…Federated Learning (FL), a key paradigm in privacy-preserving and distributed machine learning (ML), enables collaborative model training across decentralized data sources without requiring raw data exchange. FL enables collaborative model training across decentralized data sources while preserving privacy. …”
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Error Analysis and Compensation of 3‒PTT Parallel Robot by CHEN Mingfang, LIANG Hongjian, WEI Songpo, HE Chaoyin

“…However, problems exist in traditional calibration methods, such as excessive error parameters, error accumulation, and difficulty in obtaining the optimal solution of statically indeterminate equations. …”
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Probabilistic Operation of the Microgrids Including Active Loads and Distributed Generation Constrained to Flexibility and Reliability Indices by Hosein Hasan Shahi, Mehdi Nafar, Mohsen Simab

“…The Pareto optimization based on the weighted sum method is then incorporated to obtain a single-objective model. …”
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An integrated ecosystem monitoring technology for coal mining subsidence areas and its application in the Shendong mining area by Yang CHENG, Wei LIU, Na ZHANG, Guanjie LI, Kai LIU, Chengye ZHANG, Jun LI

“…The Shendong ecosystem monitoring platform, integrating models including the efficient organization and management model of multi-source data and the intelligent decision-making model, enables the management and spatiotemporal collaborative processing of multi-source heterogeneous big data, as well as the intelligent decision-making for ecological restoration based on the big data from multi-source monitoring, facilitating the ecological restoration engineering and routine plant care in the Shendong coal mining subsidence area. …”
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Thermochemical and biochemical conversion of agricultural waste for bioenergy production: an updated review by Hafiz Muhammad Aamir Shahzad, Zukhruf Asim, Sher Jamal Khan, Fares Almomani, Khaled A. Mahmoud, Muhammad Raza Ul Mustafa, Kashif Rasool

“…This review explores the potential of advanced biomass conversion technologies, with a focus on thermochemical and biochemical processes as key methods for optimizing agricultural waste management strategies. …”
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DVAEGMM: Dual Variational Autoencoder With Gaussian Mixture Model for Anomaly Detection on Attributed Networks by Wasim Khan, Mohammad Haroon, Ahmad Neyaz Khan, Mohammad Kamrul Hasan, Asif Khan, Umi Asma Mokhtar, Shayla Islam

“…Most current approaches focus on shallow learning methods such as community analysis, ego network or selection of subspace method. …”
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Identifying Disinformation on the Extended Impacts of COVID-19: Methodological Investigation Using a Fuzzy Ranking Ensemble of Natural Language Processing Models by Jian-An Chen, Wu-Chun Chung, Che-Lun Hung, Chun-Ying Wu

“…ObjectiveThis study aims to develop a robust and generalizable deep learning framework for detecting misinformation related to the prolonged impacts of COVID-19 by integrating pretrained language models (PLMs) with an innovative fuzzy rank-based ensemble approach. MethodsA comprehensive dataset comprising 566 genuine and 2361 fake samples was curated from reliable open sources and processed using advanced techniques. …”
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Battery Energy Storage Systems in Microgrids: A Review of SoC Balancing and Perspectives by Thales Augusto Fagundes, Guilherme Henrique Favaro Fuzato, Lucas Jonys Ribeiro Silva, Augusto Matheus dos Santos Alonso, Juan C. Vasquez, Josep M. Guerrero, Ricardo Quadros Machado

“…Microgrids (MGs) often integrate various energy sources to enhance system reliability, including intermittent methods, such as solar panels and wind turbines. …”
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Rendering the European neutron research landscape by Evgenii Velichko, Hartmut Abele, David J. Barlow, Antonio Benedetto, Stefano Deledda, Lambert van Eijck, Maria Teresa Fernandez-Diaz, Marc Janoschek, Maths Karlsson, Kim Lefmann, Natalie Malikova, Maria P. M. Marques, Konstantina Mergia, Jörg Pieper, Henrik M. Rønnow, Jan Šaroun, Astrid Schneidewind, Frank Schreiber, Kristiaan Temst, Max Wolff, Wojciech Zając, Marco Zanatta

“…Our analysis reveals consistent growth in the neutron community despite a reduction in sources, underscoring the enduring significance of neutron methods in scientific research. …”
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A Novel Hermite Interpolation-Based MPPT Technique for Photovoltaic Systems Under Partial Shading Conditions by Chuanlai Yuan, Juntao Xia, Fengyuan Huang, Peng Zhao, Lingshuang Kong

“…Solar energy is a sustainable and highly promising renewable energy source. The commonly employed Perturbation and Observation (P&O) and Incremental Conductance (INC) methods exhibit advantages such as ease of implementation. …”
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Modular Design and Layout Planning of Tooling Structures for Aircraft Assembly by Zhanghu Shi, Chengyu Li, Junshan Hu, Xingtao Su, Hancheng Wang, Wei Tian

“…A parametric representation of the multi-source information of tooling modules is proposed, and optimization methods for the layout and configuration of locators and platforms are developed using their parametric information. …”
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Artificial Intelligence for DC Arc Fault Detection in Photovoltaic Systems: A Comprehensive Review by Kamal Chandra Paul, Disnebio Waldmann, Chen Chen, Yao Wang, Tiefu Zhao

“…Detecting these faults in DC circuits is challenging due to their subtle electrical signatures and the presence of noise from system and environmental sources. Traditional detection methods often fall short in terms of accuracy, prompting growing interest in artificial intelligence (AI)-based solutions. …”
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A Multimodal Large Language Model Framework for Intelligent Perception and Decision-Making in Smart Manufacturing by Tianyu Wang, Bowen Zhang, Daqi Jiang, Dong Li

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State Estimation in Power Distribution Grids Using Deep Unfolding by Biswajeet Rout, Balasubramaniam Natarajan

“…Unlike model-agnostic neural networks (NNs), which are difficult to tune and train, the proposed model-based NN is created by “unfolding” the alternating direction method of multipliers (ADMM) solver. This article proposes two methods for state estimation: a purely data-driven approach called model-free DSSE network (MFDSSE-net) and a model-based DSSE network (MBDSSE-net) that incorporates network information by including the linearized power flow constraints into the optimization framework. …”
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A neural dynamics model prediction-based adaptive control system for AUV formation control by Jiwen ZHANG, Bo XU, Chuyan WANG, Zhaoyang WANG

“…Active and inhibitory sources are created to solve the local optimization problem of potential field methods. …”
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AHP-MOORA framework for longitudinal evaluation of Pharm.D program learning outcomes: a tool for Saudi pharmacy programs accreditation and curriculum enhancement by Sultan M. Alshahrani

“…This study aimed to establish a scalable framework for evaluating PLOs’ achievement under the National Commission for Academic Accreditation and Assessment (NCAAA) criteria.MethodsA mixed-methods methodology was utilized in a public pharmacy institution in Saudi Arabia. …”
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New Mellin-Based Estimation and GoF Criteria for the Beta-Weibull Model by J.M. Vasconcelos, R. J. Cintra, A. D. C. Nascimento

“…In general, although their asymptotic properties are well-defined, MLEs do not always assume closed-form and require the use of interactive optimization sources. In this paper, we propose a new estimation method based on log-cumulant (LC) expressions for the beta-Weibull (BW) distribution, an important beta-G model. …”
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