Detection of Methane Emissive “Hot Spots” in Landfills: An Advanced Statistical Method for Processing UAV Data by Maurizio Guerra, Maurizio De Molfetta, Antonio Diligenti, Marco Falconi, Vincenzo Fiano, Chiara Fiori, Donatello Fosco, Lucina Luchetti, Bruno Notarnicola, Pietro Alexander Renzulli, Enrico Sacchi, Nino Tarantino, Marcello Tognacci, Antonella Vecchio

“…Future work should refine UAV flight patterns and data processing with semi-controlled experiments—using known methane sources—to determine optimal acquisition parameters, such as flight height, sampling frequency, grid resolution, and wind influence.…”
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Microbial decolorization of anthraquinone dyes: batch and continuous treatment systems - a mini-review by Swati Sambita Mohanty, Arvind Kumar

“…IntroductionEnvironmental pollution and human exposure to dyes, particularly anthraquinone-based dyes from industries like textiles, paints, plastics, paper, and tanneries (a significant source of toxic waste in India), have increased. These dyes in wastewater pose a serious environmental threat due to their complex structure and resistance to traditional degradation methods. …”
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Targets Spatial Coordinates Calculation in Angle-Difference Rangefinder Passive Location Complexes by Numerical Iterative Methods by A. A. Dmitrenko, S. Y. Sedyshev

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Location Allocation of Biorefineries for a Switchgrass-Based Bioethanol Supply Chain Using Energy Consumption and Emissions by Seyed Ali Haji Esmaeili, Ahmad Sobhani, Sajad Ebrahimi, Joseph Szmerekovsky, Alan Dybing, Amin Keramati

“…Moreover, imposing emissions or energy consumption penalties makes the optimization model closer to supply sources while having higher land rental costs. …”
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Intelligent transportation systems: prospects, effectiveness, and challenges by Arseniy A. Efimov, Kseniya S. Medvedeva

“…ITS, as a set of technologies and methods aimed at optimizing transport processes, can significantly improve the efficiency of transport systems, improve road safety and reduce the negative impact on the environment. …”
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Life cycle cost of communication towers: identification and hierarchical classification of influencing factors by Jing Zhang, Yang Wang, Qianyi Xu, Hongshuai Gao

“…An integrated Grey-SNA-ISM model was then developed. The method identified 49 factors influencing LCC, integrated Grey-SNA centrality indicators, and established four network hierarchies, which include source-driven, intermediary conduction, collaborative central control, and outcome response. …”
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Hydrogen production by the water-gas shift reaction: A comprehensive review on catalysts, kinetics, and reaction mechanism by Leila Dehimi, Oualid Alioui, Yacine Benguerba, Krishna Kumar Yadav, Javed Khan Bhutto, Ahmed M. Fallatah, Tanuj Shukla, Maha Awjan Alreshidi, Marco Balsamo, Michael Badawi, Alessandro Erto

“…The global push towards a hydrogen economy fuels hydrogen production from various sources. A crucial step in enriching hydrogen and reducing CO in syngas derived from carbon-based hydrogen production is the water-gas shift reaction (WGSR). …”
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Construction and Application of Intelligent O&M System for Urban Rail Transit Signaling Systems by YU Meng, LU Huaike, LIANG Zhe, FAN Zichao, GAO Ning

“…The goal is to break through the technical and managerial bottlenecks of traditional O&M models and achieve efficient, precise, and sustainable O&M system. [Method] By integrating multi-source heterogeneous data and building a multi-layer architecture, the system enables real-time equipment status monitoring and degradation trend analysis, significantly improving data utilization and fault identification capabilities. …”
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How High Efficiency of the Chilean stock Market Does Impact on Energy Transition? Research Using Deep seek AI Optimization by A. Yu. Mikhaylov, N. B. A. Yousif, J. An

“…The methodology is based on the Kramer-von Mises method and market performance assessment tests using Deep Seek AI optimization. …”
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Actor–Critic Reinforcement Learning for Throughput-Optimized Power Allocation in Energy Harvesting NOMA Relay-Assisted Networks by Faeik T. Al Rabee, Ala'Eddin Masadeh, Sharief Abdel-Razeq, Haythem Bany Salameh

“…Traditional optimization methods face challenges due to uncertainties in channel gains, EH, and blockages. …”
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Heavy Metal Pollution and Solutions for Its Control: General Aspects with a Focus on Cobalt Removal and Recovery from Aqueous Systems by Tănase Dobre, Gabriela Olimpia Isopencu, Shaalan Bdaiwi Ahmed, Iuliana Mihaela Deleanu

“…The most feasible depollution methods adapted to the source, environment, and economic conditions were investigated and concluded. …”
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A Narrative Review on Manufacturing Methods Employed in the Production of Mesenchymal Stromal Cells for Knee Osteoarthritis Therapy by Rasmus Roost Aabling, Maria Rusan, Anaïs Marie Julie Møller, Naija Munk-Pedersen, Carsten Holm, Brian Elmengaard, Michael Pedersen, Bjarne Kuno Møller

“…MSCs, which can be derived from sources such as bone marrow, umbilical cord, or adipose tissue, and can be allogeneic or autologous, have demonstrated promising results in both animal models and several human studies. …”
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Mathematical Model for Searching for an Optimal Solution to the Problem of Forming Supply Chains for Raw Materials of Forestry Enterprises under Conditions of Uncertainty by R. S. Rogulin

“…The following research methods were proposed: mathematical modeling, theory and optimization methods. …”
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Comparison of two pre-fuel cell carbon capture systems employing methane decomposition and hydrogen membrane: Regression-based machine learning and optimization approach by Amirali Nouri, Araz Emami, Ata Chitsaz, Alireza Fathipour, Navid Kousheshi, Ava Karshenas

“…This study examines two systems designed to operate with zero carbon dioxide emissions, each utilizing different methods for heat generation to support methane decomposition for hydrogen production. …”
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Feature fusion and selection using handcrafted vs. deep learning methods for multimodal hand biometric recognition by Saliha Artabaz, Layth Sliman

“…While combining multiple biometric sources can improve recognition accuracy, practical performance depends heavily on feature dependencies, redundancies, and selection methods. …”
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The RBF-FD and RBF-FDTD Methods for Solving Time-Domain Electrical Transient Problems in Power Systems by Duc-Quang Vu, Nhat-Nam Nguyen, Phan-Tu Vu

“…The algorithm of selecting “optimal” shape parameters for our basis functions is also applied, specifically to increase the accuracy of the suggested methods with regard to high accuracy needs. …”
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Current Status, Challenges and Future Perspectives of Operation Optimization, Power Prediction and Virtual Synchronous Generator of Microgrids: A Comprehensive Review by Ling Miao, Ning Zhou, Jianwei Ma, Hao Liu, Jian Zhao, Xiaozhao Wei, Jingyuan Yin

“…Then, the microgrid optimization operation technologies are analyzed in detail, including energy management optimization algorithms for efficient use of energy and cost reduction. …”
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Distributed Robust Low-Carbon Economic Dispatch of Power Systems Considering Extreme Scenarios by HU Heng, QIN Jianru, LI Haibo, LIU Jiefeng

“…A two-stage distributionally robust optimization （DRO） model is proposed， minimizing day-ahead operational costs and intraday costs including carbon trading， rescheduling expenses， and risk penalties. …”
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A novel and sturdy MPPT architecture for grid-tied EV charging stations using Ali Baba and forty thieves optimization by Debabrata Mazumdar, Hassan Abdurrahman Shuaibu, Chiranjit Sain, Taha Selim Ustun

“…This approach aims to optimize modelling for all EV fleets. The developed method performs exceptionally well in comparison to other algorithms that have been studied in the literature. …”
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Research Trend On Healthcare (Hospital Financial) Failure And Activity-Based Costing Methods: A Bibliometric Analysis by Yurisal Akhmad Dany, Firman Pribadi

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