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  1. 461
  2. 462

    Structure and oxygen saturation recovery of sparse photoacoustic microscopy images by deep learning by Shuyan Zhang, Jingtan Li, Lin Shen, Zhonghao Zhao, Minjun Lee, Kun Qian, Naidi Sun, Bin Hu

    Published 2025-04-01
    “…In this study, we propose Mask-enhanced U-net (MeU-net) for recovering sparsely sampled PAM structural and functional images. The model utilizes dual-channel input, processing photoacoustic data from 532 nm and 558 nm wavelengths. …”
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  3. 463

    Structure of the Primorye Current (Japan Sea) on satellite ima- ges and standard sections by A. A. Nikitin, I. L. Tsypysheva, Yu. I. Zuenko, Yu. I. Zuenko

    Published 2024-12-01
    “…Based on satellite images and standard sections obtained in 2000–2024, spatial structure of the Primorye Current as a band of cold waters along the coast of Primorye is considered. …”
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  4. 464
  5. 465

    Dataset for evaluation and numerical modelling of structural performance of fibre-reinforced shotcrete with fibres of steel, synthetic and basaltMendeley Data by Andreas Sjölander, Erik Nordström, Anders Ansell

    Published 2025-08-01
    “…This could be used to get an indication of the required dosage of each fibre type to fulfil structural requirements. The raw data from the test machine is valuable for the numerical modelling of fibre-reinforced shotcrete. …”
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  6. 466
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    Multi-Level Cell Structure for Capacitor-Less 1T DRAM With SiGe-Based Separated Data Storing Regions by Eungi Hwang, Jang Hyun Kim, Sangwan Kim, Garam Kim

    Published 2025-01-01
    “…Additionally, the proposed structure is shown to offer advantages over the conventional structure in terms of current variation.…”
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  8. 468

    Prognosing post-treatment outcomes of head and neck cancer using structured data and machine learning: A systematic review. by Mohammad Moharrami, Parnia Azimian Zavareh, Erin Watson, Sonica Singhal, Alistair E W Johnson, Ali Hosni, Carlos Quinonez, Michael Glogauer

    Published 2024-01-01
    “…<h4>Background</h4>This systematic review aimed to evaluate the performance of machine learning (ML) models in predicting post-treatment survival and disease progression outcomes, including recurrence and metastasis, in head and neck cancer (HNC) using clinicopathological structured data.<h4>Methods</h4>A systematic search was conducted across the Medline, Scopus, Embase, Web of Science, and Google Scholar databases. …”
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  9. 469

    Modeling of potential field data for detecting structural and tectonic framework of Esh El Mellaha area, Red Sea, Egypt by Abdelbaset M. Abudeif, Zakaria Hamimi, Gaber M. Gaber, Adel Kotb, Nasir Alarifi, Stefano Bellucci, Marwa M. Masoud

    Published 2025-06-01
    “…To achieve this goal, Bouguer gravity and aeromagnetic data were used, processed and analyzed. Various depth estimation techniques were employed to analyze subsurface structures, each offering distinct advantages. …”
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  10. 470

    Studying the radial structure of the poloidal Alfvén resonator by the method of phase portraits from Van Allen Probes satellite data by Vlasov Aleksandr

    Published 2025-06-01
    “…From comparison of theoretical calculations of the structure of transverse magnetic field components with observational data, we put forward an assumption that the second and fourth harmonics of the poloidal resonator make the main contribution to the observed oscillations.…”
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  11. 471

    Structure dependent optical and conductive properties of HPMC:CoCl2 composites: A functional data analysis study by Gowtham G K, Thejas G. Urs

    Published 2025-01-01
    “…Alongside experimental evidence, we employ a robust calculation method using functional data analysis to draw clear relationships among the parameters under study, further emphasizing the scientific rigor and significance of our findings.…”
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    Crashworthiness simulation dataset of re-entrant crash box with combined in-plane and out-of-plane filling structureMendeley Data. by Arif Rochman Fachrudin, Moch. Agus Choiron, Anindito Purnowidodo, Yudy Surya Irawan

    Published 2025-08-01
    “…This dataset serves as a reference for analyzing crashworthiness in re-entrant structured crash box and can support further investigations on the crashworthiness of lightweight structural components.…”
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  15. 475

    Reconstructing the age-structured case count of COVID-19 from sentinel surveillance data in Japan: A modeling study by Yuta Okada, Minami Ueda, Hiroshi Nishiura

    Published 2024-11-01
    “…Methods: Using COVID-19 sentinel data stratified by discrete age groups in selected prefectures and referring to universal case count data up to May 8, 2023, we fitted a statistical model to handle weekly growth rates as a function of age and time so as to convert sentinel data to case counts after cessation of universal reporting. …”
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  16. 476
  17. 477

    Crosscorrelation of Earthquake Data Using Stationary Phase Evaluation: Insight into Reflection Structures of Oceanic Crust Surface in the Nankai Trough by Shohei Minato, Takeshi Tsuji, Toshifumi Matsuoka, Koichiro Obana

    Published 2012-01-01
    “…We use the numerical-modeling data and field data with 6 localized earthquakes and show that choosing the crosscorrelation traces by stationary phase evaluation improves the quality of the reflections of the oceanic crust surface.…”
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  18. 478

    A Generalized Composition Approach in Network Data Envelopment Analysis for Complex Structures: An Application of Higher Education Institutions in Poland by Dimitrios Sotiros, Gregory Koronakos, Julia Żołądkiewicz

    Published 2025-01-01
    “…We present in this paper the pitfalls of the most established approach in Network Data Envelopment Analysis for units with a~parallel internal structure. …”
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  19. 479

    SV-MeCa: an XGBoost-based meta-caller approach for structural variant calling from short-read data by Rudel Christian Nkouamedjo Fankep, Arda Söylev, Anna-Lena Kobiela, Jochen Blom, Corinna Ernst, Susanne Motameny

    Published 2025-08-01
    “…Abstract Background Calling structural variants (SVs), i.e., genomic alterations of $$\ge $$ 50bp, from whole genome short-read data remains challenging, as existing callers are known to lack accuracy and robustness. …”
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