Tall wind profile validation of ERA5, NORA3, and NEWA datasets using lidar observations by E. Cheynet, E. Cheynet, J. M. Diezel, J. M. Diezel, H. Haakenstad, Ø. Breivik, Ø. Breivik, A. Peña, J. Reuder, J. Reuder, J. Reuder

“…The validation focuses on altitudes from 100 to 500 m above ground, covering the operational range of large wind turbines and AWE systems. …”
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Empowering data-driven load forecasting by leveraging long short-term memory recurrent neural networks by Waqar Waheed, Qingshan Xu, Muhammad Aurangzeb, Sheeraz Iqbal, Saadat Hanif Dar, Z.M.S. Elbarbary

“…To summarize, this research suggests that LSTM-RNN is a practical and efficient approach for precisely forecasting load in power systems. This underscores its capacity to enhance operational efficiency and resilience in power systems.…”
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Power Signal Histograms—A Method of Power Grid Data Compression on the Edge for Real-Time Incipient Fault Forensics by Joshua H. Tyler, Donald R. Reising, Thomas Cooke, Anthony Murphy

“…Across the power grid infrastructure, deployed power transmission systems are susceptible to incipient faults that interrupt standard operations. …”
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Resource Optimization for Grid-Connected Smart Green Townhouses Using Deep Hybrid Machine Learning by Seyed Morteza Moghimi, Thomas Aaron Gulliver, Ilamparithi Thirumarai Chelvan, Hossen Teimoorinia

“…This model incorporates a wide range of sustainable materials and smart components such as recycled insulation, Photovoltaic (PV) solar panels, smart meters, and high-efficiency systems. The CSGTs operate in grid-connected mode to balance on-site renewables with grid resources to improve efficiency, cost-effectiveness, and sustainability. …”
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Parallel construction of binary tree based on sorting by Ya. E. Romm, D. A. Chabanyuk

“…The sorting provides maximum concurrency, and, in an operator form, establishes a one-to-one mapping of input and output indices. …”
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Surgical treatment of severe aortic stenosis using a sutureless biological valve by Kaitović Marko, Mićović Slobodan

“…Therefore, the use of these valves in healthcare systems with limited resources can be considered only in patients in whom they would prevent many potential complications during and after the aortic valve replacement. …”
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AI-Based Forecasting in Renewable-Rich Microgrids: Challenges and Comparative Insights by Martins Osifeko, Josiah Lange Munda

“…This finding provides actionable insights for utilities and policymakers by highlighting robust, low-latency models suitable for practical deployment in operational power systems.…”
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Advanced Multivariate Models Incorporating Non-Climatic Exogenous Variables for Very Short-Term Photovoltaic Power Forecasting by Isidro Fraga-Hurtado, Julio Rafael Gómez-Sarduy, Zaid García-Sánchez, Hernán Hernández-Herrera, Jorge Iván Silva-Ortega, Roy Reyes-Calvo

“…This approach offers practical benefits for optimizing grid management, reducing operational costs, improving the integration of renewable energy sources, and supporting frequency stability in power generation systems.…”
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Enhancing the Accuracy and Speed of Object Detection and Distance Estimation to Improve the Safety of Autonomous Cars Movement by F. Kabiri, M. R. Delavar, L. Hajibabi, B. Nazari

“…Modern transportation systems face significant challenges in ensuring road safety, with approximately 35.1 million fatalities annually due to accidents, 93.5% of which are attributed to human errors. …”
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SAVE: Self-Attention on Visual Embedding for Zero-Shot Generic Object Counting by Ahmed Zgaren, Wassim Bouachir, Nizar Bouguila

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Remote sensing with machine learning for multi-decadal surface water monitoring in Ethiopia by Mathias Tesfaye, Lutz Breuer

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Aura Ozone Monitoring Instrument (OMI) Collection 4 Formaldehyde Products by Zolal Ayazpour, Gonzalo González Abad, Caroline R. Nowlan, Kang Sun, Hyeong‐Ahn Kwon, Christopher Chan Miller, Heesung Chong, Huiqun Wang, Xiong Liu, Kelly Chance, Ewan O’Sullivan, Lei Zhu, Corinne Vigouroux, Isabelle De Smedt, Wolfgang Stremme, James W. Hannigan, Justus Notholt, Xiaoyu Sun, Mathias Palm, Cristof Petri, Kimberly Strong, Amelie N. Röhling, Emmanuel Mahieu, Dan Smale, Yao Té, Isamu Morino, Isao Murata, Tomoo Nagahama, Rigel Kivi, Maria Makarova, Nicholas Jones, Ralf Sussmann, Minqiang Zhou

“…Abstract This study presents the ozone monitoring instrument (OMI) Collection 4 formaldehyde (HCHO) retrieval developed with the Smithsonian Astrophysical Observatory's (SAO) Making Earth System Data Records for Use in Research Environments (MEaSUREs) algorithm. …”
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The retreatment abilities of ProTaper Next and F6 Skytaper: a micro-computed tomography study by Esma Sarıçam, Selen İnce Yusufoğlu, Mert Ocak, Ferhat Geneci, Hakan Hamdi Celik

“…Purpose: The aim of this study was to evaluate the retreatment abilities of the ProTaper Next (PTN) and F6 SkyTaper (F6) systems by using micro-computed tomography (micro-ct), radiographic and microscopic imaging techniques.Materials and Methods: The root canals of twenty-six extracted mandibular premolar teeth were prepared and obturated. …”
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Validation and Application of CFD Methodology for Core Inlet Flow Distribution in APR1000 Reactor by Sung Man Son, Won Man Park, Dae Kyung Choi, Choengryul Choi

“…The core inlet flow distribution in the APR1000 reactor is critical for ensuring the reactors safety and efficient operation by maintaining uniform coolant flow across fuel assemblies. …”
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Synergistic SAPSO-sinusoidal decay empirical formula for ship motion forecasting in waves by Jianwei Wang, Xinyu Han, Jiachen Chai, Wenlei Li, Ze He, Minghua Yue

“…As a critical task in intelligent navigation systems, high-accuracy prediction of ship motions proves essential for maritime safety and energy efficiency optimisation. …”
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AE-BPNN: autoencoder and backpropagation neural network-based model for lithium-ion battery state of health estimation by Abdullah Ahmed Al-Dulaimi, Muhammet Tahir Guneser, Raghad Al-Shabandar, Yeonghyeon Gu, Muhammad Syafrudin, Norma Latif Fitriyani

“…Abstract Lithium-ion (Li-ion) batteries play a crucial role in modern energy storage systems, with their performance and longevity heavily dependent on accurately assessing their State of Health (SOH). …”
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Effect of number of uses and sterilization on the instrumented area and resistance of reciprocating instruments by Victor de Ornelas Peraça, Samantha Rodrigues Xavier, Fabio de Almeida Gomes, Luciane Geanini Pena dos Santos, Erick Miranda Souza, Fernanda Geraldo Pappen

“…ObjectivesThis study evaluated the effect of repeated uses and autoclaving in the instrumented area, fracture resistance, and time of instrumentation of thermally treated nickel-titanium reciprocating systems.Materials and MethodsTwo hundred simulated canals were instrumented using Reciproc Blue and WaveOne Gold. …”
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Fuzzy-FMECA: Right Solution for Jet Dyeing Machine Damage Prevention by Tiaradia Ihsan, Didit Damur Rochman, Rendiyatna Ferdian

“…The Fuzzy-FMECA approach enhances accuracy and adaptability in identifying failure risks, improving maintenance for complex jet dyeing systems. This study aims to identify the root causes of jet dyeing machine damage for preventive maintenance design. …”
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An electrical load forecasting model based on a novel closed loop neural networks and interaction gain feature selection by Gholamreza Memarzadeh, Faezeh Amirteimoury, Hossein Noori, Farshid Keynia

“…Accurate short-term load forecasting, particularly for normal and peak load values, plays a critical role in ensuring the reliable and efficient operation of modern power systems. To achieve enhanced prediction accuracy, this study introduces a novel closed-loop neural network framework designed for next-day and peak load forecasting. …”
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Characterization and Functional Analysis of 4-Coumarate:CoA Ligase Genes in Mul-berry. by Chuan-Hong Wang, Jian Yu, Yu-Xiang Cai, Pan-Pan Zhu, Chang-Ying Liu, Ai-Chun Zhao, Rui-Hua Lü, Meng-Jiao Li, Feng-Xiang Xu, Mao-De Yu

“…We used different vectors and strategies to fuse Ma4CL3 with stilbene synthase (STS) to construct four Ma4CL-MaSTS co-expression systems to generate resveratrol. The results indicated that only a transcriptional fusion vector, pET-Ma4CL3-T-MaSTS, which utilized a T7 promoter and lac operator for the expression of MaSTS, could synthesize resveratrol.…”
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