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  1. 241

    The geometry of meaning: evaluating sentence embeddings from diverse transformer-based models for natural language inference by Mohammed Alsuhaibani

    Published 2025-06-01
    “…We conduct comprehensive experiments with different pooling techniques and evaluate the embeddings using different norms across multiple layers of each model. Our results demonstrate that the choice of pooling strategy, norm, and model layer significantly impacts the performance of NLI, with the best results achieved using max pooling and the L2 norm across specific model layers. …”
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  2. 242

    Pore‐Scale Modeling of Water and Ion Diffusion in Partially Saturated Clays by Yuankai Yang, Sergey V. Churakov, Ravi A. Patel, Nikolaos Prasianakis, Guido Deissmann, Dirk Bosbach, Jenna Poonoosamy

    Published 2024-01-01
    “…By using a mobility‐distance relationship from molecular simulations, Fick's law is numerically solved to simulate water diffusion in nanopores, while the coupled Poisson‐Boltzmann‐Nernst‐Planck equations are solved to simulate ion diffusion under the influence of the electrical double layer (EDL). Our model reveals that the decrease of relative effective diffusion coefficients during the desaturation is more pronounced for ions than for water, due to the additional transport pathway of water tracers in the gas phase. …”
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  5. 245

    Study on the effects of initial ice layer and temperature distribution on the redistribution of D2 fuel layer in a cryogenic target by Yina Yao, Guanhua Chen, Wei Lin, Kai Wang, Hui Zhang, Fei Dai

    Published 2025-01-01
    “…The effects of the temperature boundary and the initial ice layer distribution on the coupled process are investigated. …”
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  6. 246

    Load transfer behaviour of super long piles in multi-layer soft soil through field testing and numerical 3D FEM modelling by Thoi Huu Tra, Thanh T. Nguyen, Thien Q. Huynh, Tatsuya Ishikawa

    Published 2025-06-01
    “…The results are then used to not only explore load-transfer process, but also validate numerical modelling through a comprehensive process combining multiple-soil layers and −loading stages. …”
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  7. 247

    Steganographic model to conceal the secret data in audio files utilizing a fourfold paradigm: Interpolation, multi-layering, optimized sample space, and smoothing by Daffa Tristan Firdaus, Ntivuguruzwa Jean De La Croix, Tohari Ahmad, Didacienne Mukanyiligira, Louis Sibomana

    Published 2025-06-01
    “…To address these limitations, this study offers valuable insights to guide researchers in developing high-performing audio steganography models. The proposed method seeks to improve stego audio quality by implementing a smoothing-based technique and optimizing the sample space through linear interpolation, followed by a multi-layering process. …”
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  8. 248

    Drying kinetics and characteristics of Acori tatarinowii rhizoma under hot air thin-layer drying at different temperatures by Yingna Le, Kun Shi, Chengfu Wang, Jingying Guo, Yaohui Ye, Yuexing Ma, Ruiping Wang, Fangyan Cai, Shaolong Ma, Jinlian Zhang, Lingyun Zhong

    Published 2025-08-01
    “…The drying kinetics of ATR were evaluated at five temperature levels (35, 45, 55, 65, and 75 ℃). Among the tested models, the Cubic model showed the best performance. …”
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  9. 249

    Atomic layer deposition of SnO2 and TiO2 on electrodeposited BiOI thin films for efficient light-driven peroxymonosulfate activation by Laura Huidobro, Mahmoud Abid, Haitham Maslouh, Arnaud Demore, Mikhael Bechelany, Elvira Gómez, Albert Serrà

    Published 2025-09-01
    “…Here, we report for the first time the fabrication of ALD-engineered BiOI thin-film heterojunctions, coated with nanometric SnO2 or TiO2 layers (∼5 nm) and decorated with Pd nanoparticles (∼2 nm), which simultaneously enhance catalytic activity and stability. …”
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  10. 250

    Bayesian Optimized Enhanced Ensemble Multi-Layer Perceptron for Rear-End Collision Prediction in IoV by Dilna Vijayan, Mohamed Saad, Ahmed M. Khedr

    Published 2024-01-01
    “…This dataset undergoes preprocessing and normalization prior to one-dimensional (1D) CNN processing for feature extraction. Furthermore, our predictive modeling approach employs an ensemble of Multi-Layer Perceptrons (MLPs). …”
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  11. 251

    Cloud processing of dimethyl sulfide (DMS) oxidation products limits sulfur dioxide (SO<sub>2</sub>) and carbonyl sulfide (OCS) production in the eastern North Atlantic marine boun... by D. B. Kilgour, C. M. Jernigan, C. M. Jernigan, O. Garmash, O. Garmash, S. Aggarwal, S. Aggarwal, S. Zhou, C. Mohr, C. Mohr, C. Mohr, M. E. Salter, M. E. Salter, J. A. Thornton, J. Wang, P. Zieger, P. Zieger, T. H. Bertram

    Published 2025-02-01
    “…Recent work has shown that HPMTF is efficiently lost to marine boundary layer (MBL) clouds, thus arresting OCS and SO<span class="inline-formula"><sub>2</sub></span> production and their contributions to new-particle formation and growth events. …”
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  12. 252

    Finite Element Stress Model of Direct Band Gap Ge Implementation Method Compatible with Si Process by Xiaohuan Xue, Jianjun Song, Rongxi Xuan

    Published 2019-01-01
    “…Among the various implementations of Ge band gap-type conversion, the related methods that are compatible with the Si process are most promising. It is such a method to etch around the Ge epitaxial layer on the Si substrate and introduce the biaxial tensile stress by SiGe selective filling. …”
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  13. 253

    RESEARCH ON THE RESIDUAL STRESS OF THE CRYSTAL SURFACE DURING LAPPING PROCESS BASED ON A SINGLE PARTICLE MODEL by WANG XiaoBo, XIE RuiQing

    Published 2021-01-01
    “…In order to understand the formation mechanism of the residual stress of the lapping surface of laser crystal,a single particle model of a YAG crystal workpiece during lapping process was established by the finite element analysis software ANSYS. …”
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  14. 254

    A Thermo-Hydro-Mechanical Damage Coupling Model for Stability Analysis During the In Situ Conversion Process by Guoping Li, Juan Jin, Weixi Chen, Minghui Zhao, Jiandong Liu, Bo Fang, Tingfu Ye

    Published 2025-03-01
    “…To capture tensile–compressive asymmetry in geotechnical materials, an equivalent strain based on strain energy density is introduced, which regularizes the tensile component of the elastic strain energy density. Additionally, the model simulates the multi-layer wellbore structure and the dynamic heating and extraction processes, recreating the in situ environment. …”
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  16. 256

    High quality large‐scale nickel‐rich layered oxides precursor co‐precipitation via domain adaptation‐based machine learning by Junyoung Seo, Taekyeong Kim, Kisung You, Youngmin Moon, Jina Bang, Waunsoo Kim, Il Jeon, Im Doo Jung

    Published 2025-07-01
    “…Our domain adaptation based machine learning model, which accounts for equipment wear and environmental variations, achieves a defect detection accuracy of 97.8% based on machine data and process conditions. …”
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  17. 257
  18. 258

    ACSAformer: A crime forecasting model based on sparse attention and adaptive graph convolution by Zhenkai Qin, Baozhong Wei, Baozhong Wei, Caifeng Gao, Caifeng Gao, Feng Zhu, Feng Zhu, Weiqi Qin, Weiqi Qin, Qian Zhang

    Published 2025-06-01
    “…The model integrates the Transformer architecture with adaptive graph convolutional layers and a sparse attention mechanism. …”
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  19. 259

    Superlubricating electrical contact between graphite layers by Yanmin Liu, Dong Wang, Ke Zhang, Haijun Wu, Guoqing Yu, Qiang Zhang, Yuanzi Zhou, Tianbao Ma, Aisheng Song

    Published 2025-07-01
    “…On the basis of the electronic property fluctuation (EPF) model and first principles calculations, we revealed that the sliding energy barrier remains almost unchanged under an applied current because of the negligible electron transfer variation during the sliding process. …”
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  20. 260

    Mathematical modeling, drying kinetics, and economic analysis of a hybrid photovoltaic thermal solar dryer for henna leaves by Abdallah Elshawadfy Elwakeel, Awad Ali Tayoush Oraiath, Tarek Hussien M. Ghanem, Ahmed Elbeltagi, Ali Salem, Ahmed Z. Dewidar, Abdelaziz M. Okasha, Abadeer Habib, Tamer M. El-Messery, Moustapha Eid Moustapha, Khaled A. Metwally

    Published 2025-07-01
    “…Furthermore, Lewis (Newton), Weibullian, and Page were the most appropriate mathematical drying models for Henna leaves at layer thicknesses of approximately 2, 4, and 6 cm, respectively, for dried samples by DDSD. …”
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