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    Manufacturing cycle prediction using structural equation model toward industrial early warning system simulation: The Indonesian case by Tirta Wisnu Permana, Gatot Yudoko, Eko Agus Prasetio

    Published 2025-01-01
    “…Specifically, it investigates the relationships among CLIs to forecast Indonesia's Manufacturing Cycle (ManC) using Partial Least Squares-Structural Equation Modeling (PLS-SEM).Building on an extensive literature review, the study employs quarterly data spanning from Q1 2010 to Q2 2022, incorporating five constructs representing key economic sectors influencing the manufacturing cycle. …”
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    A hybrid deep learning model for predicting atmospheric corrosion in steel energy structures under maritime conditions based on time-series data by Mohamed El Amine Seghier Ben, Tam T. Truong, Christian Feiler, Daniel Höche

    Published 2025-03-01
    “…Atmospheric corrosion of maritime structures remains one of the most challenging issues facing offshore industry. …”
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  10. 1410

    Mapping the internal structures of fault zones of the sedimentary cover: a tectonophysical approach applied to interpret TDEM data (Kovykta gas condensate field) by K. Zh. Seminsky, I. V. Buddo, A. A. Bobrov, N. V. Misyurkeeva, Yu. P. Burzunova, A. S. Smirnov, I. A. Shelokhov

    Published 2019-12-01
    “…The article presents the results of studying the internal structures of platform fault zones with the use of a new tectonophysical approach to processing and interpretation of electrical exploration data obtained by the transient elec‐ tromagnetic method in the near field zone (TEM). …”
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    Investigating Tropical Cyclone Warm Core and Boundary Layer Structures with Constellation Observing System for Meteorology, Ionosphere, and Climate 2 Radio Occultation Data by Xiaoxu Qi, Shengpeng Yang, Li He

    Published 2024-11-01
    “…An LSW less than 20% is set as a data QC threshold, and the warm core and PBL composite structures of TCs at three intensities in the Northwest Pacific Ocean are investigated. …”
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  12. 1412

    VisualCodeMOOC: A course platform for algorithms and data structures integrating a conversational agent for enhanced learning through dynamic visualizations by Mingyuan Li, Duan Wang, Erick Purwanto, Thomas Selig, Qing Zhang, Hai-Ning Liang

    Published 2025-05-01
    “…The abstract nature of algorithms and data structures poses challenges for students, and the integration of visualization into comprehensive learning systems remains underexplored. …”
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    From Viewing to Structure: A Computational Framework for Modeling and Visualizing Visual Exploration by Kuan-Chen Chen, Chang-Franw Lee, Teng-Wen Chang, Cheng-Gang Wang, Jia-Rong Li

    Published 2025-07-01
    “…This approach opens new possibilities for discovering structural organization within visual exploration data and analyzing goal-directed viewing behaviors. …”
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    From patterned response dependency to structured covariate dependency: Entropy based categorical-pattern-matching. by Hsieh Fushing, Shan-Yu Liu, Yin-Chen Hsieh, Brenda McCowan

    Published 2018-01-01
    “…Distinct synergistic feature-groups embrace distinct structures of dependency. The explicit details of dependency among members of synergistic features are seen through mutliscale compositions of blocks computed by a computing paradigm called Data Mechanics. …”
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    Bird population trend analyses for a monitoring scheme with a highly structured sampling design by Rieger, Mirjam R, Grüneberg, Christoph, Oberhaus, Michael, Trautmann, Sven, Parepa, Madalin, Anthes, Nils

    Published 2025-05-01
    “…The study provides a template script for R statistical software so the workflow can be adapted to other monitoring programmes with comparable survey designs and data structures.…”
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    Protein-Protein Interaction Extraction using Attention-based Tree-Structured Neural Network Models by Sudipta Singha Roy, Robert E. Mercer

    Published 2022-05-01
    “…It is typically quite difficult to extract a protein-protein interaction (PPI) from text data as text data is complex in nature. Unlike sequential models, tree-structured neural network models have the ability to consider syntactic and semantic dependencies between different portions of the text and can provide structural information at the phrase level. …”
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    STaRT-RWE: structured template for planning and reporting on the implementation of real-world evidence studies by S. L. Plavinskij, A. N. Barinova

    Published 2022-11-01
    “…To highlight the features of STaRT-RWE (a structured template for planning and reporting on research in real clinical practice — RWE).Materials and methods. …”
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