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  1. 441

    Machine-learning potentials for structurally and chemically complex MAB phases: Strain hardening and ripplocation-mediated plasticity by Nikola Koutná, Shuyao Lin, Lars Hultman, Davide G. Sangiovanni, Paul H. Mayrhofer

    Published 2025-08-01
    “…Considering group 4–6 transition metal based MABs, with A=Al and the 222, 212, and 314 type phases, three MLIPs are trained and tested, including lattice and elastic constants calculations at temperatures T∈{0,300,1200} K, extrapolation grade and energy (force, stress) error analysis for ≈3⋅106 ab initio MD snapshots. …”
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  2. 442

    Analyzing and Forecasting Vessel Traffic Through the Panama Canal: A Comparative Study by Mitzi Cubilla-Montilla, Anabel Ramírez, William Escudero, Clara Cruz

    Published 2025-07-01
    “…In 2016, the Canal underwent a significant expansion, reshaping maritime transit by accommodating larger vessels and reinforcing its strategic importance in international trade. …”
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  3. 443

    Correcting Multivariate Biases in Regional Climate Model Boundaries: How Are Synoptic Systems Impacted Over the Australian Region? by Youngil Kim, Jason P. Evans, Ashish Sharma

    Published 2024-11-01
    “…This demonstrates that appropriately correcting RCM boundary conditions helps correct many of the circulation errors inherited from the driving GCM but not all.…”
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  4. 444

    Concentration anomalies of galvanomagnetic properties of (Bi1-хSbх)2Te3 solid solutions based on Sb2Te3 in the (Bi1-хSbх)2Te3 system by К.В. Мартинова, О.І. Рогачова

    Published 2023-05-01
    “…The presence of concentration anomalies is associated with the transition from dilute to concentrated solid solutions. …”
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  5. 445

    Short-term Wind Power Forecasting Based on BWO‒VMD and TCN‒BiGRU by LU Jing, ZHANG Yanru, WANG Rui

    Published 2025-05-01
    “…Therefore, the BWO is proposed to optimize these parameters, with sample entropy and error reconstruction serving as key fitness function indicators. …”
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  6. 446

    The oldest stratigraphic record of the Late Cretaceous shark Ptychodus mortoni Agassiz, from Vallecillo, Nuevo León, northeastern Mexico by Wolfgang Stinnesbeck, José Guadalupe López-Oliva, Eberhard Frey, Christina Ifrim, Samuel Giersch

    Published 2018-01-01
    “… We believe the article by Blanco-Piñón et al.(2007) contains severe formal and scientific errors which, to our view, should be revised according to international scientific rules. …”
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  7. 447

    Pulmonary features and stage of disease in adult patients with hyper-IgE syndrome: a single-centre clinical study and literature review by Tiange Xie, Na Xu, He Zhao, Yingdong Han, Juan Wu, Hong Di, Min Peng, Ting Zhang, Hongwei Fan, Yun Zhang, Xuejun Zeng

    Published 2025-06-01
    “…Abstract Background The hyper-IgE syndromes (HIES) are a heterogeneous group of inborn errors of immunity-sharing manifestations including increased infection susceptibility, eczema, and raised serum IgE. …”
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  8. 448

    Torments Through Time: Pardon in Brazilian Military Penal Law between Early Modern Rules and Liberal Justice (Council of State, 1842-1889) by Arthur Barrêtto de Almeida Costa

    Published 2021-08-01
    “…Pardons were frequently given to counter the harshness of the Articles of War, just like in the Ancien Régime, but new functions were added, like the correction of procedural errors. I concluded that pardon retained much of its older logic, yet military law was not “transitional”, but a natural complement to the violent way of recruitment pursued by the armed forces.…”
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  9. 449

    Experimental validation of flow regulation in an innovative adsorption chiller with epcm thermal energy storage by Onyekwere Ojike, Tagne Takote Brice Clausel, Cosmas Anyanwu, Mkpamdi Eke, Fidelis Abam

    Published 2025-09-01
    “…This was attributed to the low thermal conductivity of paraffin wax, limiting the phase change transition during discharging phase. A comparative analysis between simulated and experimental results revealed an average absolute error of 17 % and a relative error of 27 %, highlighting the need for further refinement in simulation parameters to accurately replicate experimental conditions. …”
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  10. 450

    Factorial Numbers and Their Practical Applications by Oleksiy Borysenko, Oleksii Horiachev, Svitlana Matsenko, Anatolii Novhorodtsev, Olga Berezhna, Vjaceslavs Bobrovs, Toms Salgals, Jurgis Porins

    Published 2024-09-01
    “…The addition and subtraction operations on factorial numbers are considered, and examples of their implementation are given. Methods for transitioning from positional numbers to factorial numbers and back are proposed. …”
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  11. 451

    A Transformer Encoder Approach for Localization Reconstruction During GPS Outages from an IMU and GPS-Based Sensor by Kévin Cédric Guyard, Jonathan Bertolaccini, Stéphane Montavon, Michel Deriaz

    Published 2025-01-01
    “…Additionally, it incorporates position interpolation to ensure smooth transitions between active GPS and GPS outage phases. …”
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  12. 452

    Experimental Verification of a Two-Motor-Two-Pump Motor-Controlled Hydraulic Cylinder with Throttle-Free Passive Load-Holding Capability in Four-Quadrant Operations by Wei Zhao, Morten Kjeld Ebbesen, Michael Rygaard Hansen, Torben Ole Andersen

    Published 2024-09-01
    “…Experimental results indicate that position tracking errors remain within ±2.5 mm across three cases, which is well below 1% of the total cylinder travels in the experiments. …”
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  13. 453

    Characterization of Foundational Literacy Instruction for Early Grade Students Based on Their Skill Levels by Syarifudin Syarifudin, Nurrahmah, Sholihin, Ria Widiyanti

    Published 2024-03-01
    “…Students are encouraged to practice writing daily, read together, and evaluate each other's work to strengthen their abilities in identifying spelling errors, grammar, and common punctuation.…”
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  14. 454

    Ranking network of a captive rhesus macaque society: a sophisticated corporative kingdom. by Hsieh Fushing, Michael P McAssey, Brianne Beisner, Brenda McCowan

    Published 2011-03-01
    “…The first step simultaneously infers the ranking potentials among all network members, which requires accommodation of heterogeneous measurement error inherent in behavioral data. Our second step estimates the social rank for all individuals by minimizing the network-wide errors in the ranking potentials. …”
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  15. 455

    Bus Predictive-Control Method considering the Impact of Traffic Lights by Maosheng Li, Yao Li

    Published 2022-01-01
    “…In addition, the model still performs well when considering the execution errors of bus drivers.…”
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  16. 456

    Research on a Rapid Three-Dimensional Compressor Flow Field Prediction Method Integrating U-Net and Physics-Informed Neural Networks by Chen Wang, Hongbing Ma

    Published 2025-07-01
    “…PINN-AeroFlow-U achieves prediction errors of 1.063% for the pressure field and 2.02% for the velocity field, demonstrating high accuracy.…”
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  17. 457

    Transport Mode Choice for Disaggregated Mobility Demand Generation by Leo Strobel, Marco Pruckner

    Published 2025-01-01
    “…Achieving high performance in the microsimulation is more difficult due to the existence of downstream errors. Nonetheless, we achieve close fits for all modes with the exception of the car passenger mode.…”
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  18. 458

    Research on COP Prediction Model of Chiller Based on PSO-SVR by Zhou Xuan, Cai Panpan, Lian Sizhen, Yan Junwei

    Published 2015-01-01
    “…The results shows that the prediction accuracy of SVR model based on PSO optimization algorithm is higher than that of BP neural network and the relative error is within 3%. At last, operating data of two days in summer and transition season are randomly selected to verify the model. …”
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  19. 459

    Radio Propagation Models Based on Machine Learning Using Geometric Parameters for a Mixed City-River Path by Allan Dos S. Braga, Hugo A. O. Da Cruz, Leslye E. C. Eras, Jasmine P. L. Araujo, Miercio C. A. Neto, Diego K. N. Silva, Gervasio P. S. Cavalcante

    Published 2020-01-01
    “…A quantitative analysis is performed between the measured and predicted data through the Standard deviation (SD), Root Mean Square Error (RMSE), and the Grey Relational Grade, combined with the Mean Absolute Percentage Error (GRG-MAPE). …”
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  20. 460

    Advanced generalized machine learning models for predicting hydrogen–brine interfacial tension in underground hydrogen storage systems by Ahmed Farid Ibrahim

    Published 2025-05-01
    “…Abstract The global transition to clean energy has highlighted hydrogen (H2) as a sustainable fuel, with underground hydrogen storage (UHS) in geological formations emerging as a key solution. …”
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