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  1. 321

    Representativity studies of GEN-III large cores to ZPR experiments with respect to nuclear data by Njayou Tsepeng Eric Karson, Blaise Patrick, Couyras David, Argaud Jean-Philippe, Clouvel Laura, Dos Santos Nicolas

    Published 2025-01-01
    “…Standard (SPT) and generalized (GPT) perturbation theories are employed to determine sensitivities with respect to nuclear data and their uncertainties are propagate to the outputs through the sandwich rule with covariance data collapsed from a fine to a coarse energy mesh.…”
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    Article
  2. 322

    From digitized whole‐slide histology images to biomarker discovery: A protocol for handcrafted feature analysis in brain cancer pathology by Xuanjun Lu, Yawen Ying, Jing Chen, Zhiyang Chen, Yuxin Wu, Prateek Prasanna, Xin Chen, Mingli Jing, Zaiyi Liu, Cheng Lu

    Published 2025-06-01
    “…In the external validation cohort, the optimal model combination achieved a generalization performance with an AUC of 0.594. We provide an open‐source code repository (GitHub website: https://github.com/XuanjunLu/PHBCP) to facilitate effective collaboration between medical and technical experts, thereby advancing the field of computational pathology in brain cancer.…”
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  3. 323

    RoofMapNet: Utilizing geometric primitives for depicting planar building roof structure from high-resolution remote sensing imagery by Jiaqi Wang, Guanzhou Chen, Xiaodong Zhang, Tong Wang, Xiaoliang Tan, Qingyuan Yang, Wenlin Zhou, Kun Zhu

    Published 2025-07-01
    “…This strategy enhances the model’s robustness in junction prediction under heterogeneous sample distribution scenarios. …”
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  4. 324
  5. 325

    Neural fields for 3D tracking of anatomy and surgical instruments in monocular laparoscopic video clips by Beerend G. A. Gerats, Jelmer M. Wolterink, Seb P. Mol, Ivo A. M. J. Broeders

    Published 2024-12-01
    “…Due to the small size of instruments, they generally cover a small part of the image only, resulting in decreased tracking accuracy. …”
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    Article
  6. 326

    Investigation of the application of an automated monitoring system for detecting transmission cable deterioration in Nigeria: A case study of transmission cable lines between Offa... by C.S. Omoniabipi, R. Agbadede, K.C. Emmanuel, O.J. Adewuni, I. Allison

    Published 2025-03-01
    “…The study successfully demonstrated the prediction of overload conditions using neural networks, with minimal errors illustrated through confusion matrices and performance plots.…”
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    Article
  7. 327

    InMAP: A model for air pollution interventions. by Christopher W Tessum, Jason D Hill, Julian D Marshall

    Published 2017-01-01
    “…The InMAP model source code and input data are freely available online under an open-source license.…”
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    Article
  8. 328

    Vertically Recurrent Neural Networks for Sub‐Grid Parameterization by P. Ukkonen, M. Chantry

    Published 2025-06-01
    “…We find optimized, state‐of‐the‐art radiation code on CPU generally faster than RNN‐based emulators on GPU, although the latter can be more energy efficient. …”
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    Article
  9. 329

    GraphGIM: rethinking molecular graph contrastive learning via geometry image modeling by Chaoyi Li, Hongxin Xiang, Wenjie Du, Tengfei Ma, Haowen Chen, Xiangxiang Zeng, Lei Xu

    Published 2025-07-01
    “…The code is available at https://github.com/cyli029/GraphGIM .…”
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    Article
  10. 330

    Experimental Study on Axial Compression Behaviour of Ultra-high-performance Concrete-filled Duplex Stainless Steel Tube Stub Rectangular Columns by TANG Hongyuan, WANG Huixiang, LIU Ye

    Published 2025-05-01
    “…The calculated average value of <italic>N</italic><sub>test</sub>/<italic>N</italic><sub>cal</sub> is 0.85, which tends toward danger and cannot be directly used for calculating the axial compressive ultimate bearing capacity of rectangular UFSST short columns. In contrast, other codes adopt the superposition theory, neglecting the constraint effect of steel tubes on concrete, often resulting in predicted values of <italic>N</italic><sub>test</sub>/<italic>N</italic><sub>cal</sub> greater than 1, thus underestimating actual values. …”
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  11. 331
  12. 332

    Design and Construction of an Instrumentation System to Capture the Response of Advanced Materials Impacted by Intense Proton Pulses by F. Carra, C. Charrondiere, M. Guinchard, O. Sacristan de Frutos

    Published 2021-01-01
    “…In recent years, significant efforts were taken at CERN and other high-energy physics laboratories to study and predict the consequences of particle beam impacts on devices such as collimators, targets, and dumps. …”
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    Article
  13. 333

    Bisoprolol for patients with chronic obstructive pulmonary disease at high risk of exacerbation: the BICS RCT by Graham Devereux, Seonaidh Cotton, Mintu Nath, Nicola McMeekin, Karen Campbell, Rekha Chaudhuri, Gourab Choudhury, Anthony De Soyza, Shona Fielding, Simon Gompertz, John Haughney, Amanda Lee, Graeme MacLennan, Alyn Morice, John Norrie, David Price, Philip Short, Jorgen Vestbo, Paul Walker, Jadwiga Wedzicha, Andrew Wilson, Olivia Wu, Brian Lipworth

    Published 2025-05-01
    “…A total of 515 people with chronic obstructive pulmonary disease from 76 hospitals and general practitioner practices across the United Kingdom took part in the bisoprolol in chronic obstructive pulmonary disease study. …”
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  14. 334

    Spatiotemporal masked pre-training for advancing crop mapping on satellite image time series with limited labels by Xiaolei Qin, Haonan Guo, Xin Su, Zhenghui Zhao, Di Wang, Liangpei Zhang

    Published 2025-03-01
    “…The code of our method is available at https://github.com/XiaoleiQinn/STCLN.…”
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  15. 335

    SageNet: Fast Neural Network Emulation of the Stiff-amplified Gravitational Waves from Inflation by Fan Zhang, Yifang Luo, Bohua Li, Ruihan Cao, Wenjin Peng, Joel Meyers, Paul R. Shapiro

    Published 2025-01-01
    “…Trained on a data set of 25,689 numerically generated solutions, SageNet allows accurate reconstructions of Ω _GW ( f ) and generalizes well to a wide range of cosmological parameters; 90.9% of the test emulations with randomly distributed parameters exhibit errors of under 4%. …”
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  16. 336

    RISKS OF IMPLEMENTING AND USING ARTIFICIAL INTELLIGENCE BY OIL AND GAS SECTOR ENTERPRISES by V.B. Kochkodan, M.Yu. Petryna

    Published 2025-06-01
    “…Scenario modeling tools were applied to predict the potential consequences of risk realization.A systematic approach was applied to assess the risk levels of using AI technologies in oil and gas enterprises. …”
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    Article
  17. 337

    A hyperspectral unmixing approach for ink mismatch detection in unbalanced clusters by Faryal Aurooj Nasir, Salman Liaquat, Khurram Khurshid, Nor Muzlifah Mahyuddin

    Published 2024-03-01
    “…The code for conducting this research can be accessed at GitHub repository.…”
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  18. 338
  19. 339

    Impacts of the CICE sea ice model and ERA atmosphere on an Antarctic MetROMS ocean model, MetROMS-UHel-v1.0 by C. Äijälä, Y. Nie, L. Gutiérrez-Loza, C. De Falco, C. De Falco, S. K. Lauvset, B. Cheng, D. A. Bailey, P. Uotila

    Published 2025-08-01
    “…We find that the update of CICE (Community Ice CodE) and ERA reduced the negative bias of the sea ice area in summer. …”
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  20. 340

    Impact of COVID-19 on Corporate Cash Holdings and Speed of Adjustment by Abbas Aflatooni, Mohammad Khatiri, Farzad Eivani

    Published 2024-12-01
    “…The analysis used observations from 159 firms from 2008 to 2022, applying Generalized Least Squares (GLS) regression and the system Generalized Method of Moments (system-GMM) while controlling for industry and year effects. …”
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