Regional Frequency Analysis Using L-Moments for Determining Daily Rainfall Probability Distribution Function and Estimating the Annual Wastewater Discharges by Pau Estrany-Planas, Pablo Blanco-Gómez, Juan I. Ortiz-Vallespí, Javier Orihuela-Martínez, Víctor Vilarrasa

“…The Generalized Pareto gave the best probability distribution function for the selected region, and it was used to simulate daily rainfall and system discharges over annual periods using Monte Carlo techniques. …”
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SDDGRNets: Level–Level Semantically Decomposed Dynamic Graph Reasoning Network for Remote Sensing Semantic Change Detection by Zhuli Xie, Gang Wan, Yunxia Yin, Guangde Sun, Dongdong Bu

“…Semantic change detection technology based on remote sensing data holds significant importance for urban and rural planning decisions and the monitoring of ground objects. …”
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Today’s Mechanisms of Financing the 4th Energy-Transition by E. V. Altukhova

“…Current trends of sustainable development define priorities and new approaches to sources and forms of financing. Serious impact on selection of finance mechanisms is made by sectoral specific features demonstrating key lines of development. …”
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A Novel Method for Estimating Parameters of Magnetic Dipole Sources Under Low Signal-to-Noise Ratio Conditions Based on LM-OBF Algorithm by Zhaotao Yan, Zhaofa Zeng, Jianwei Zhao

“…It then constructs an objective function within a least squares framework and optimizes it using the Levenberg–Marquardt (LM) algorithm to achieve a stable estimation of magnetic source parameters. …”
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Optical Coherence Tomography in Retinal Detachment: Prognostic Biomarkers, Surgical Planning, and Postoperative Monitoring by Humza Zaidi, Jayanth Sridhar

“…Key aspects include uniform imaging protocols, validating OCT-derived biomarkers such as ellipsoid zone integrity, and correlating OCT metrics with functional outcomes.…”
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Broad-line AGNs at 3.5 < z < 6: The Black Hole Mass Function and a Connection with Little Red Dots by Anthony J. Taylor, Steven L. Finkelstein, Dale D. Kocevski, Junehyoung Jeon, Volker Bromm, Ricardo O. Amorín, Pablo Arrabal Haro, Bren E. Backhaus, Micaela B. Bagley, Eduardo Banados, Rachana Bhatawdekar, Madisyn Brooks, Antonello Calabrò, Óscar A. Chávez Ortiz, Yingjie Cheng, Nikko J. Cleri, Justin W. Cole, Kelcey Davis, Mark Dickinson, Callum Donnan, James S. Dunlop, Richard S. Ellis, Vital Fernández, Adriano Fontana, Seiji Fujimoto, Mauro Giavalisco, Andrea Grazian, Jingsong Guo, Nimish P. Hathi, Benne W. Holwerda, Michaela Hirschmann, Kohei Inayoshi, Jeyhan S. Kartaltepe, Yana Khusanova, Anton M. Koekemoer, Vasily Kokorev, Rebecca L. Larson, Gene C. K. Leung, Ray A. Lucas, Derek J. McLeod, Lorenzo Napolitano, Masafusa Onoue, Fabio Pacucci, Casey Papovich, Pablo G. Pérez-González, Nor Pirzkal, Rachel S. Somerville, Jonathan R. Trump, Stephen M. Wilkins, L. Y. Aaron Yung, Haowen Zhang

“…We select these sources directly from JWST/NIRSpec G395M/F290LP spectra. …”
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SECURITY ASSESSMENT OF MOODLE-BASED DISTANCE LEARNING SYSTEM COMPONENTS USING STATIC ANALYSIS TOOLS by Vladislav K. Kuchmin, Grigory O. Krylov

“…Moodle is one of the most popular open source solutions used in university environments, and its modular architecture requires regular security audits due to continuous functional expansion. …”
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National occupational safety and health systems: Exploring the underlying networks for future sustainable development by Gaia Vitrano, Guido J.L. Micheli

“…As a result, a range of fundamental functions and recurring bodies, covering – to different extents – the previously identified functions, constitute the framework, which are the most transversal functions for the selected countries. …”
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Research on multi-sensor fusion detection and tracking technology for autonomous-rail rapid transit tram by PAN Wenbo, YUAN Xiwen, LIN Jun, XIE Guotao, LONG Teng, HUANG Wenyu

“…Firstly, a millimeter-wave radar and LiDAR are used to perceive by single sensor, and the sensing results were merged by using a multi-source fusion algorithm, to generate more accurate detection results. …”
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Dynamic participation in local energy communities with peer-to-peer trading [version 2; peer review: 2 approved, 2 approved with reservations] by Theresia Perger, Hans Auer

“…Conclusions The added value of this work is that the proposed method can be seen as a basis for a selection process between a large number of potential new community members. …”
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Novel Genomic Regions and Gene Models Controlling Copper and Cadmium Stress Tolerance in Wheat Seedlings by Amira M. I. Mourad, Sara Baghdady, Fatma Al-Zahraa M. Abdel-Aleem, Randa M. Jazeri, Andreas Börner

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Phenotypic variation of Thenus spp. (Decapoda, Scyllaridae) in the waters of southern Thailand and Malaysia using multivariate morphometric analysis by Ihsan Hani Radzi, Cheng-Ann Chen, Sukree Hajisamae, Kay Khine Soe

“… Thenus spp. are slipper lobsters which are commercially significant as a food source with good aquaculture potential. This study focuses on collecting population information on Thenus orientalis and Thenus indicus from selected sites in southern Thailand and Malaysia to inform sustainable fisheries management about the resources. …”
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Decoding methane concentration in Alberta oil sands: A machine learning exploration by Liubov Sysoeva, Ilhem Bouderbala, Miles H. Kent, Esha Saha, B.A. Zambrano-Luna, Russell Milne, Hao Wang

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Simulation Study on Detection and Localization of a Moving Target Under Reverberation in Deep Water by Jincong Dun, Shihong Zhou, Yubo Qi, Changpeng Liu

“…Deep-water reverberation caused by multiple reflections from the seafloor and sea surface can affect the performance of active sonars. To detect a moving target under reverberation conditions, a reverberation suppression method using multipath Doppler shift in deep water and wideband ambiguity function (WAF) is proposed. …”
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Axial-UNet++ Power Line Detection Network Based on Gated Axial Attention Mechanism by Ding Hu, Zihao Zheng, Yafei Liu, Chengkang Liu, Xiaoguo Zhang

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Enhancing deep learning-based landslide detection from open satellite imagery via multisource data fusion of spectral, textural, and topographical features: a case study of old lan... by Zhiyuan Ren, Junwei Ma, Jiayu Liu, Xin Deng, Guangcheng Zhang, Haixiang Guo

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YOLOGX: an improved forest fire detection algorithm based on YOLOv8 by Caixiong Li, Yue Du, Xing Zhang, Peng Wu

“…To tackle issues, including environmental sensitivity, inadequate fire source recognition, and inefficient feature extraction in existing forest fire detection algorithms, we developed a high-precision algorithm, YOLOGX. …”
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Metal surface defect detection using SLF-YOLO enhanced YOLOv8 model by Yuan Liu, Yilong Liu, Xiaoyan Guo, Xi Ling, Qingyi Geng

“…Abstract This paper addresses the industrial demand for precision and efficiency in metal surface defect detection by proposing SLF-YOLO, a lightweight object detection model designed for resource-constrained environments. …”
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Rationale for obtaining protein concentrate of industrial hemp seeds of Cannabis sativa L. of modern selection based on mathematical modeling and its application in food production by A. V. Petrenko, E. S. Tarasov, O. N. Kaminir, E. N. Guba, E. A. Kalinyuk

“…In general, the studies have shown the feasibility of using protein concentrates from industrial hemp seeds of Cannabis Sativa L of modern selection in food products as a functional and technological ingredient.…”
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GLIMPSE: An Ultrafaint ≃105 M⊙ Pop III Galaxy Candidate and First Constraints on the Pop III UV Luminosity Function at z ≃ 6–7 by Seiji Fujimoto, Rohan P. Naidu, John Chisholm, Hakim Atek, Ryan Endsley, Vasily Kokorev, Lukas J. Furtak, Richard Pan, Boyuan Liu, Volker Bromm, Alessandra Venditti, Eli Visbal, Richard Sarmento, Andrea Weibel, Pascal A. Oesch, Gabriel Brammer, Daniel Schaerer, Angela Adamo, Danielle A. Berg, Rachel Bezanson, Rychard Bouwens, Iryna Chemerynska, Adélaïde Claeyssens, Miroslava Dessauges-Zavadsky, Anna Frebel, Damien Korber, Ivo Labbe, Rui Marques-Chaves, Jorryt Matthee, Kristen B. W. McQuinn, Julian B. Muñoz, Priyamvada Natarajan, Alberto Saldana-Lopez, Katherine A. Suess, Marta Volonteri, Adi Zitrin

“…These properties indicate the presence of a nascent, metal-deficient young stellar population (<5 Myr) with a stellar mass of ≃10 ^5 M _⊙ . Intriguingly, this source deviates significantly from the extrapolated UV–metallicity relation derived from recent JWST observations at z = 4–10, consistent with UV enhancement by a top-heavy Pop III initial mass function or the presence of an extremely metal-poor active galactic nucleus. …”
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