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  1. 441

    Trends in the sustainable use of artificial intelligence: a bibliometric approach by Alejandro Valencia-Arias, Jesus Alberto Jimenez Garcia, Toño Eldrin Alvites Adan, Ezequiel Martínez Rojas, Jackeline Valencia, Erica Agudelo-Ceballos, Hernán Uribe Bedoya, Gustavo Adolfo Moreno López

    Published 2025-05-01
    “…China, the United States, and India were the leading countries in terms of scientific production. Thematic evolution revealed a shift toward SDG and artificial neural network. …”
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    Article
  2. 442

    Powder Bed Fusion via Machine Learning-Enabled Approaches by Utkarsh Chadha, Senthil Kumaran Selvaraj, Abel Saji Abraham, Mayank Khanna, Anirudh Mishra, Isha Sachdeva, Swati Kashyap, S. Jithin Dev, R. Srii Swatish, Ayushma Joshi, Simar Kaur Anand, Addisalem Adefris, R. Lokesh Kumar, Jayakumar Kaliappan, S. Dhanalakshmi

    Published 2023-01-01
    “…This review presents the evolution, current status, challenges, and prospects of these technologies in terms of material, features, process parameters, applications, advantages, disadvantages, etc., to explain their significance and provide an in-depth understanding of the same.…”
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  3. 443

    Hymyc1 downregulation promotes stem cell proliferation in Hydra vulgaris. by Alfredo Ambrosone, Valentina Marchesano, Angela Tino, Bert Hobmayer, Claudia Tortiglione

    Published 2012-01-01
    “…Our results show the involvement of Hymyc1 in the control of interstitial stem cell dynamics, provide new clues to decipher the molecular control of the cell and tissue plasticity in Hydra, and also provide further insights into the complex myc network in higher organisms. The ability of Hydra cells to uptake double stranded RNA and to trigger a RNAi response lays the foundations of a comprehensive analysis of the RNAi response in Hydra allowing us to track back in the evolution and the origin of this process.…”
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  4. 444

    Geo-spatial assessment of geomorphic characteristics of Swat Valley, Pakistan by Sheharyar Ahmad, Muhammad Shareef Shazil, Ahmad Furqan Hassan, Bashra Afzal

    Published 2024-12-01
    “…Morphometric analysis is essential for understanding drainage networks and landform evolution, particularly in complex mountainous regions like the Swat Valley. …”
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  5. 445

    COMMUNICATION STRATEGIES AND TACTICS IN CRISIS SITUATIONS by Olena Danylina

    Published 2025-06-01
    “…Methods of analysis and synthesis were applied to systematise crisis classifications by scale, subject matter, causes, and structural features; a diachronic review traced the evolution of media strategies from post-crisis reporting to proactive, real-time networked responses. …”
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  6. 446
  7. 447

    The TESS Ten Thousand Catalog: 10,001 Uniformly Vetted and Validated Eclipsing Binary Stars Detected in Full-frame Image Data by Machine Learning and Analyzed by Citizen Scientists by Veselin B. Kostov, Brian P. Powell, Aline U. Fornear, Marco Z. Di Fraia, Robert Gagliano, Thomas L. Jacobs, Julien S. de Lambilly, Hugo A. Durantini Luca, Steven R. Majewski, Mark Omohundro, Jerome Orosz, Saul A. Rappaport, Ryan Salik, Donald Short, William Welsh, Svetoslav Alexandrov, Cledison Marcos da Silva, Erika Dunning, Gerd Gühne, Marc Huten, Michiharu Hyogo, Davide Iannone, Sam Lee, Christian Magliano, Manya Sharma, Allan Tarr, John Yablonsky, Sovan Acharya, Fred Adams, Thomas Barclay, Benjamin T. Montet, Susan Mullally, Greg Olmschenk, Andrej Prša, Elisa Quintana, Robert Wilson, Hasret Balcioglu, Ethan Kruse, The Eclipsing Binary Patrol Collaboration

    Published 2025-01-01
    “…In addition to the primary goal of discovering new exoplanets, TESS is exceptionally capable at detecting variable stars, and in particular short-period eclipsing binaries, which are relatively common, making up a few percent of all stars, and represent powerful astrophysical laboratories for deep investigations of stellar formation and evolution. We combed Sectors 1–82 of the TESS full-frame image data searching for eclipsing binary stars using a neural network that identified ∼1.2 million stars with eclipse-like features. …”
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  8. 448

    Investigation on the physical–mechanical response characteristics and failure mechanisms of shale under the laser thermal field by Yuze Du, Jing Xie, Zheqiang Jia, Li Ren, Zeyu Zhu, Junjun Liu, Lei Yang, Ting Ai, Bengao Yang, Mingzhong Gao

    Published 2025-03-01
    “…It investigates the spatiotemporal evolution characteristics of the shale temperature field under laser irradiation, the propagation features of cracks on shale surface, and the physicochemical fracture mechanisms. …”
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  9. 449

    Hydrated Electrons in Phase-Matching Generation of Second-Order Stokes X-Waves in Water by Xinxin Chen, Qing Zhou, Zhongyang Wang

    Published 2025-04-01
    “…The shifts arose from excess electrons being injected into the hydrogen bond network of water clusters.…”
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  10. 450

    Effects of composition ratio of TiCu precursor on dealloying behavior in molten Mg and microstructural characteristics of Mg-Ti composites by Jee Eun Jang, Bo Hyun Park, Soo-Hyun Joo, Sung Hyuk Park

    Published 2025-06-01
    “…Metal composites produced through the liquid metal dealloying (LMD) process feature an advanced matrix-matrix composite structure, where two metallic materials form a continuous, three-dimensional interconnected network. …”
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  11. 451

    Structural dynamics of melting and glass formation in a two-dimensional hybrid perovskite by Chumei Ye, Lauren N. McHugh, Pierre Florian, Ruohan Yu, Celia Castillo-Blas, Celia Chen, Arad Lang, Yuhang Dai, Jingwei Hou, David A. Keen, Siân E. Dutton, Thomas D. Bennett

    Published 2025-08-01
    “…Our structural studies reveal that the liquid and glass formed from the 2D HOIP exhibit network-forming behaviour, featuring limited short-range order within individual octahedra, partial retention of metal-halide-metal connectivity between neighbouring octahedra, and residual structural correlations mediated by organic cations. …”
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  12. 452
  13. 453

    Prediction of Highway Tunnel Pavement Performance Based on Digital Twin and Multiple Time Series Stacking by Gang Yu, Shuang Zhang, Min Hu, Y. Ken Wang

    Published 2020-01-01
    “…This paper (1) establishes an MTSS prediction model with heterogeneous stacking of eXtreme gradient boosting (XGBoost), the artificial neural network (ANN), random forest (RF), ridge regression, and support vector regression (SVR) component learners after exploratory data analysis (EDA); (2) proposes a method based on multiple time series feature extraction to accurately predict the pavement performance change trend, using the highway segment as the minimum computing unit and considering multiple factors; (3) uses grid search with the k-fold cross validation method to optimize hyperparameters to ensure the robustness, stability, and generalization ability of the prediction model; and (4) constructs a digital twin for pavement performance prediction to realize the real-time dynamic evolution of prediction. …”
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  14. 454

    METHODOLOGICAL APPROACHES TO THE ASSESSMENT OF THE ECONOMY’S DIGITAL TRANSFORMATION by Н. В. Чеснокова

    Published 2020-05-01
    “…The most well-known index, which in one way or another reflect the level of digital transformation are analyzed: the ICT Development Index (IDI), the Digital Economy and Society Index (DESI), the Digital Evolution Index (DEI), the World Digital Competitiveness Index (WDCI), the Networked Readiness Index (NRI). …”
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  15. 455

    Identifying functional groups among the diverse, recombining antigenic var genes of the malaria parasite Plasmodium falciparum from a local community in Ghana. by Mary M Rorick, Edward B Baskerville, Thomas S Rask, Karen P Day, Mercedes Pascual

    Published 2018-06-01
    “…Functional changes can in some cases be tracked through the evolutionary history of a gene family; however phylogenetic approaches are not possible in cases where gene families diversify primarily by recombination. We take a network theoretical approach to functionally classify the highly recombining var antigenic gene family of the malaria parasite Plasmodium falciparum. …”
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  16. 456

    Research Progress and Technology Outlook of Deep Learning in Seepage Field Prediction During Oil and Gas Field Development by Tong Wu, Qingjie Liu, Yueyue Wang, Ying Xu, Jiale Shi, Yu Yao, Qiang Chen, Jianxun Liang, Shu Tang

    Published 2025-05-01
    “…Key processes based on Deep Learning, such as feature engineering, network structure design, and physical constraint integration mechanisms, are further explored. …”
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  17. 457

    Machine Learning for Identifying Damage and Predicting Properties in 3D-Printed PLA/Lygeum Spartum Biocomposites by Khalil Benabderazag, Moussa Guebailia, Zouheyr Belouadah, Lotfi Toubal, Salah Eddine Tachi

    Published 2025-03-01
    “…The processed dataset, comprising six normalized features (cumulative rise, duration, count, frequency, energy, and amplitude) was used to train four ML models: Random Forest Regression (RFR), Support Vector Regression (SVR), Artificial Neural Networks (ANN), and Decision Trees (DT) implemented in Python using libraries such as scikit-learn, pandas, and numpy. …”
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  18. 458

    Modulation instability control via evolutionarily optimized optical seeding by Sader Lynn, Boussafa Yassin, Hoang Van Thuy, Haldar Raktim, Kues Michael, Wetzel Benjamin

    Published 2025-06-01
    “…Controlling nonlinear pulse propagation in optical fibers is paramount for applications spanning spectroscopy and optical communication networks. However, the inherent complexity of laser pulse evolution in matter, shaped by the interplay of nonlinearity and dispersion, poses significant challenges in experimental situations. …”
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  19. 459

    Advanced air quality prediction using multimodal data and dynamic modeling techniques by Umesh Kumar Lilhore, Sarita Simaiya, Rajesh Kumar Singh, Abdullah M. Baqasah, Roobaea Alroobaea, Majed Alsafyani, Afnan Alhazmi, M. D. Monish Khan

    Published 2025-07-01
    “…CNNs extract spatial pollutant patterns from satellite images, whereas BiLSTM networks simulate temporal dynamics in pollutant and weather data. …”
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  20. 460

    Transhumanism in Analytical Prospects of Classical and Non-Classic Sociology by A. V. Shcherbina

    Published 2020-07-01
    “…In the work the results of studies presented in domestic and foreign publications on TH are used, as well as the materials of the public pages of the online communities Transhumanism and Transhumanism Without Borders in the social networks VKontakte and LiveJournal. Explanatory models of classical and non-classical sociology are involved: the theory of imitation of G. …”
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