Natural Frequencies of Small Cylinders and Tubes by Peter LISY, Peter Perun

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Viscoplastic effects on a non-Newtonian fluid flow in rock fracture by Quang Du Nguyen, Duy Vu Luu, Xuan Bao Nguyen, Cuong Mai Bui

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Aquatic Emission and Properties Analysis for Wind Turbine Blades by R. Jai Ganesh, Manjunathan Alagarsamy, G. Gabriel Santhosh Kumar, P. Tamilnesan, K. Kaarthik, Jemal Mohammed Yimer

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The Role of Usability in Business-to-Business E-Commerce Systems: Predictors and Its Impact on User's Strain and Commercial Transactions by Udo Konradt, Lüder Lückel, Thomas Ellwart

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Microstructure Effects of the Electrical Discharge Machining Drill on Aerospace Super Alloys by Garner Copher, Sandip Harimkar, Kurt Rouser, Connor McCain, Daniel Velasco, Tanner Price, Trey Schinzler

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Additive Manufacturing as an Alternative to Core Sampling in Concrete Strength Assessment by Darya Anop, Marzhan Sadenova, Nail Beisekenov, Olga Rudenko, Zulfiya Aubakirova, Assel Jexembayeva

“…Ordinary least-squares regression of the pooled data produced the linear relation <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mover accent="true"><mrow><mi>R</mi></mrow><mo>^</mo></mover></mrow><mrow><mi>c</mi><mi>o</mi><mi>r</mi><mi>e</mi></mrow></msub></mrow></semantics></math></inline-formula> [MPa] = 0.97 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mrow><mover accent="true"><mrow><mi>R</mi></mrow><mo>^</mo></mover></mrow><mrow><mi>c</mi><mi>u</mi><mi>b</mi><mi>e</mi></mrow></msub></mrow></semantics></math></inline-formula> − 4.9, limiting the prediction error to less than 2 MPa (under 3% across the 40–300 MPa range) and outperforming more complex machine-learning models. …”
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MC-ASFF-ShipYOLO: Improved Algorithm for Small-Target and Multi-Scale Ship Detection for Synthetic Aperture Radar (SAR) Images by Yubin Xu, Haiyan Pan, Lingqun Wang, Ran Zou

“…Furthermore, comparative experiments show that our method outperforms mainstream models. Even under high-confidence thresholds, MC-ASFF-ShipYOLO is capable of predicting more high-quality detection boxes, offering a valuable solution for advancing SAR ship detection technology.…”
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Comprehensive dataset for performance evaluation of SCM-blended concreteMendeley Data by Weilin Liu, Huadong Mo, Chi King Lee

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Thrombosis, Neuroinflammation, and Poststroke Infection: The Multifaceted Role of Neutrophils in Stroke by Johanna Ruhnau, Juliane Schulze, Alexander Dressel, Antje Vogelgesang

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An extreme land subsidence in North Jakarta from a heritage architecture view by R. Siti Rukayah, A. Perwira Mulia Tarigan, Dwinanti Rika Marthanty, Budianto Ontowirjo, Athia Maulida Tsania Shofie, Fariz Addo Giovano

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Determining Point of Economic Cattle Milk Production through Machine Learning and Evolutionary Algorithm for Enhancing Food Security by Sonam Bhardwaj, Ayon Tarafdar, Manoj Baghel, Triveni Dutt, Gyanendra Kumar Gaur

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Utilizing Machine Learning and Multi-Station Observations to Investigate the Visibility of Sea Fog in the Beibu Gulf by Qin Huang, Peng Zeng, Xiaowei Guo, Jingjing Lyu

“…The results show that sea fog occurs more frequently during the nighttime than during the daytime, primarily due to day-night differences in air temperature, specific humidity, wind speed, and wind direction. To predict visibility associated with sea fog, these variables, along with temperature-dew point differences (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>T</mi><mi mathvariant="normal">a</mi></msub><mo>−</mo><msub><mi>T</mi><mi mathvariant="normal">d</mi></msub></mrow></semantics></math></inline-formula>), pressure (<i>p</i>), month, day, hour, and wind components, were used as feature variables in the three ML models. …”
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Basin dependencies of tropical cyclone genesis environment and possible future changes revealed by machine learning methods by QiFeng Qian, YeFeng Chen, XiaoJing Jia, Hao Ma, Wei Dong

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Ensuring safety in the Air transport of radioactive materials: Regulations, methodologies, and probabilistic safety assessment by Manorma Kumar, Guillem Cortes-Rossell

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Survey on explainable knowledge graph reasoning methods by Yi XIA, Mingjng LAN, Xiaohui CHEN, Junyong LUO, Gang ZHOU, Peng HE

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FRP-Confined Concrete Columns: A New Procedure for Evaluating the Performance of Square and Circular Sections by Marinella Fossetti, Francesco Basone, Giuseppe D’Arenzo, Giuseppe Macaluso, Alfio Francesco Siciliano

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Identifying hotspots and risk factors for tick-borne encephalitis virus emergence at its range margins to guide interventions, Great Britain by Bethan V Purse

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Application of Asymptotic and Rigorous Techniques for the Characterization of Interferences Caused by a Wind Turbine in Its Neighborhood by Maria Jesús Algar, Lorena Lozano, Javier Moreno, Iván González, Felipe Cátedra

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High-precision measurements of the atomic mass and electron-capture decay Q value of 95Tc by Zhuang Ge, Tommi Eronen, Vasile Alin Sevestrean, Ovidiu Niţescu, Sabin Stoica, Marlom Ramalho, Jouni Suhonen, Antoine de Roubin, Dmitrii Nesterenko, Anu Kankainen, Pauline Ascher, Samuel Ayet San Andres, Olga Beliuskina, Pierre Delahaye, Mathieu Flayol, Mathias Gerbaux, Stéphane Grévy, Marjut Hukkanen, Arthur Jaries, Ari Jokinen, Audric Husson, Daid Kahl, Joel Kostensalo, Jenni Kotila, Iain Moore, Stylianos Nikas, Marek Stryjczyk, Ville Virtanen

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Breeding evaluations in aquaculture using neural networks by Christos Palaiokostas

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