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  1. 1981
  2. 1982

    Human development, inequality, and their associations with brain structure across 29 countries by Vicente Medel, Luz M. Alliende, Richard Bethlehem, Jakob Seidlitz, Grace Ringlein, Celso Arango, Aurina Arnatkevičiūtė, Laila Asmal, Mark Bellgrove, Vivek Benegal, Miquel Bernardo, Pablo Billeke, Jorge Bosch-Bayard, Rodrigo Bressan, Geraldo Busatto, Mariana Castro, Tiffany Chaim-Avancini, Monise Costanzi, Leticia Czepielewski, Paola Dazzan, Camilo de la Fuente-Sandoval, Covadonga M. Diaz-Caneja, Marta Di Forti, Ana Maria Diaz-Zuluaga, Stefan Du Plessis, Fabio Duran, Sol Fittipaldi, Alex Fornito, Nelson Freimer, Ary Gadelha, Clarissa Gama, Ranjini Garani, Clemente Garcia-Rizo, Cecilia Gonzalez Campo, Alfonso Gonzalez-Valderrama, Salvador Guinjoan, Bharath Holla, Agustin Ibañez, Daniza Ivanovic, Andrea Jackowski, Pablo Leon-Ortiz, Christine Lochner, Carlos Lopez-Jaramillo, Hilmar Luckhoff, Raffael Massuda, Philip McGuire, Jun Miyata, Romina Mizrahi, Robin Murray, Aysegul Ozerdem, Pedro Pan, Mara Parellada, Lebogang Phahladira, Juan P. Ramirez-Mahaluf, Ramiro Reckziegel, Tiago Reis Marques, Francisco Reyes-Madrigal, Annerine Roos, Pedro Rosa, Giovanni Salum, Freda Scheffler, Gunter Schumann, Mauricio Serpa, Dan J. Stein, Angeles Tepper, Jeggan Tiego, Tsukasa Ueno, Juan Undurraga, Eduardo A Undurraga, Pedro Valdes-Sosa, Isabel Valli, Mirta Villarreal, Toby T Winton-Brown, Nefize Yalin, Francisco Zamorano, Marcus Zanetti, Anderson M Winkler, Sara Evans-Lacko, Nicolas A. Crossley

    Published 2025-01-01
    “…We aimed to determine the association between the level of development and inequality of a country and the brain structure of healthy adults. Methods We conducted a cross-sectional study pooling brain imaging (T1-based) data from 145 magnetic resonance imaging (MRI) studies in 7,962 healthy adults (4,110 women) in 29 different countries. …”
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    Article
  3. 1983
  4. 1984
  5. 1985

    The Information-Structural Status of Adjuncts: A Question-under-Discussion-Based Approach by Lisa Brunetti, Kordula De Kuthy, Arndt Riester

    Published 2021-10-01
    “…In this paper we present an analysis of the information structural properties of different types of verb and sentence modifying adjuncts under a QUD (question under discussion) approach. …”
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    Article
  6. 1986

    The Structural and Kinematical Properties of NGC 5634, a Globular Cluster Associated with the Sagittarius Dwarf Galaxy? by Shouzhi Wang, Jundan Nie, Biwei Jiang, Hao Tian, Chao Liu, Ying-Hua Zhang

    Published 2025-01-01
    “…We investigate the origin of NGC 5634 through a comprehensive analysis of its morphology, kinematics, and dynamics. Utilizing data from the DESI Legacy Survey, we refined its fundamental parameters (age τ = 12.8 ± 0.3 Gyr, metallicity [Fe/H] = −1.8 ± 0.1 dex, distance modulus dm = 17.0 ± 0.1 mag) and constructed a matched-filter template based on the combination of these parameters to search for extra-tidal structures. …”
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    Article
  7. 1987

    The GPR survey method in combination with destructive testing methods for the hydraulic structures technical condition studying by Suprun Veronika, Kovalenko Ivan, Ustinova Viktoriya

    Published 2024-09-01
    “…Further destruction of the concrete coating is inevitable, and therefore urgent repair and reinforcement of the structures are required. The data obtained will be used as a basis for conducting an examination necessary for operational monitoring of the SWIS and decision-making, when developing protective measures to strengthen the structures.…”
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    Article
  8. 1988
  9. 1989
  10. 1990
  11. 1991
  12. 1992
  13. 1993
  14. 1994
  15. 1995
  16. 1996

    Beyond Euclid: an illustrated guide to modern machine learning with geometric, topological, and algebraic structures by Mathilde Papillon, Sophia Sanborn, Johan Mathe, Louisa Cornelis, Abby Bertics, Domas Buracas, Hansen J Lillemark, Christian Shewmake, Fatih Dinc, Xavier Pennec, Nina Miolane

    Published 2025-01-01
    “…The enduring legacy of Euclidean geometry underpins classical machine learning, which, for decades, has been primarily developed for data lying in Euclidean space. Yet, modern machine learning increasingly encounters richly structured data that is inherently non-Euclidean. …”
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    Article
  17. 1997

    Geotectonics and geodynamics of structures of the stretching of continents and oceans, communications with rudo petroleum potential and seismicity by Vladimir Mikhaylovich Harchenko, Galina Valentinovna Kolyadova, Boris Fyodorovich Galaj, Marina Anatolievna Beytuganova

    Published 2022-09-01
    “…To assess the concepts about the structures of the stretching assembled factual material: data structures of stretching of various ranks in the Eastern and Western Ciscaucasia, and the Red Sea. …”
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    Article
  18. 1998

    The political structures and its influences in sport development in the state of Paraná, Brazil: the case of athletics by Lenamar Fiorese Vieira, José Luiz Lopes Vieira

    Published 2008-06-01
    “…Informer's record, semi-structured interview, research diary and documents, were used to collect the data. …”
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    Article
  19. 1999

    Validation of modeling the delamination process of composite panels of load-bearing elements of aircraft structures by I. S. Belousov

    Published 2024-01-01
    “…Both in the manufacture and operation of structural elements made of layered composite materials, interlayer defects may occur upon impact as a result of operation or violation of manufacturing technology, which significantly reduces the strength characteristics of such structures. …”
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  20. 2000

    Identifying and Forecasting Recurrently Emerging Stock Trend Structures via Rising Visibility Graphs by Zhen Zeng, Yu Chen

    Published 2025-06-01
    “…This approach produces graph representations that capture direction-sensitive market dynamics and facilitate the extraction of meaningful topological features from price data. By applying the WL kernel, RVGWL quantifies structural similarities between graph-transformed time series, enabling the identification of structurally similar preceding patterns and the probabilistic forecasting of their subsequent trajectories based on nine canonical trend templates. …”
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    Article