In Science Journals.

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Title: In Science Journals.
Authors: Lopez, Bianca (AUTHOR), Vignieri, Sacha (AUTHOR), Smith, Keith T. (AUTHOR), Lavine, Marc S. (AUTHOR), Bere, Leoma (AUTHOR), Suleymanov, Yury (AUTHOR), Tringe, Susannah G. (AUTHOR), Smith, Jesse (AUTHOR), Hessler, Angela (AUTHOR), Simonti, Corinne (AUTHOR), Szuromi, Phil (AUTHOR), Maroso, Mattia (AUTHOR), Seale, Madeleine (AUTHOR), Nusinovich, Yevgeniya (AUTHOR), Cameron, Craig E. (AUTHOR), Hallberg, Dorothy (AUTHOR), Foley, John (AUTHOR)
Source: Science. 6/11/2026, Vol. 392 Issue 6803, p1138-1140. 3p.
Subjects: Machine learning, Greenhouse gases, Carbon dioxide mitigation, Piezoelectric composites, Piezoelectric detectors, Vesicular-arbuscular mycorrhizas, Tropical ecosystems
Abstract: This collection of research summaries highlights recent advances across diverse scientific fields. Studies on arbuscular mycorrhizal (AM) fungi quantify global hyphal density using machine learning and imaging, revealing extensive and variable underground networks connecting plants. Investigations into grazing impacts on greenhouse gas emissions emphasize the limited potential for carbon mitigation when accounting for supplemental feed needs. Research on semi-enclosed tropical seas shows that their unique oceanographic conditions lead to prolonged ecological fluctuations influenced by climate change. In exoplanet science, differences in orbital eccentricity between rocky super-Earths and gas-rich mini-Neptunes suggest distinct evolutionary histories. Additionally, developments in mechanoelectrical metamaterials demonstrate enhanced piezoelectric sensitivity with applications in sensing and robotics. These studies collectively contribute to understanding ecological, planetary, material, and biomedical systems through innovative methodologies. [Extracted from the article]
Copyright of Science is the property of American Association for the Advancement of Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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PubType: Academic Journal
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  Data: In Science Journals.
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  Data: <searchLink fieldCode="AR" term="%22Lopez%2C+Bianca%22">Lopez, Bianca</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Vignieri%2C+Sacha%22">Vignieri, Sacha</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Smith%2C+Keith+T%2E%22">Smith, Keith T.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lavine%2C+Marc+S%2E%22">Lavine, Marc S.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bere%2C+Leoma%22">Bere, Leoma</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Suleymanov%2C+Yury%22">Suleymanov, Yury</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tringe%2C+Susannah+G%2E%22">Tringe, Susannah G.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Smith%2C+Jesse%22">Smith, Jesse</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hessler%2C+Angela%22">Hessler, Angela</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Simonti%2C+Corinne%22">Simonti, Corinne</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Szuromi%2C+Phil%22">Szuromi, Phil</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Maroso%2C+Mattia%22">Maroso, Mattia</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Seale%2C+Madeleine%22">Seale, Madeleine</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Nusinovich%2C+Yevgeniya%22">Nusinovich, Yevgeniya</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cameron%2C+Craig+E%2E%22">Cameron, Craig E.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hallberg%2C+Dorothy%22">Hallberg, Dorothy</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Foley%2C+John%22">Foley, John</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Science%22">Science</searchLink>. 6/11/2026, Vol. 392 Issue 6803, p1138-1140. 3p.
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  Data: <searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22Greenhouse+gases%22">Greenhouse gases</searchLink><br /><searchLink fieldCode="DE" term="%22Carbon+dioxide+mitigation%22">Carbon dioxide mitigation</searchLink><br /><searchLink fieldCode="DE" term="%22Piezoelectric+composites%22">Piezoelectric composites</searchLink><br /><searchLink fieldCode="DE" term="%22Piezoelectric+detectors%22">Piezoelectric detectors</searchLink><br /><searchLink fieldCode="DE" term="%22Vesicular-arbuscular+mycorrhizas%22">Vesicular-arbuscular mycorrhizas</searchLink><br /><searchLink fieldCode="DE" term="%22Tropical+ecosystems%22">Tropical ecosystems</searchLink>
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  Data: This collection of research summaries highlights recent advances across diverse scientific fields. Studies on arbuscular mycorrhizal (AM) fungi quantify global hyphal density using machine learning and imaging, revealing extensive and variable underground networks connecting plants. Investigations into grazing impacts on greenhouse gas emissions emphasize the limited potential for carbon mitigation when accounting for supplemental feed needs. Research on semi-enclosed tropical seas shows that their unique oceanographic conditions lead to prolonged ecological fluctuations influenced by climate change. In exoplanet science, differences in orbital eccentricity between rocky super-Earths and gas-rich mini-Neptunes suggest distinct evolutionary histories. Additionally, developments in mechanoelectrical metamaterials demonstrate enhanced piezoelectric sensitivity with applications in sensing and robotics. These studies collectively contribute to understanding ecological, planetary, material, and biomedical systems through innovative methodologies. [Extracted from the article]
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  Data: <i>Copyright of Science is the property of American Association for the Advancement of Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=194526233
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    Identifiers:
      – Type: doi
        Value: 10.1126/science.aej5477
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 3
        StartPage: 1138
    Subjects:
      – SubjectFull: Machine learning
        Type: general
      – SubjectFull: Greenhouse gases
        Type: general
      – SubjectFull: Carbon dioxide mitigation
        Type: general
      – SubjectFull: Piezoelectric composites
        Type: general
      – SubjectFull: Piezoelectric detectors
        Type: general
      – SubjectFull: Vesicular-arbuscular mycorrhizas
        Type: general
      – SubjectFull: Tropical ecosystems
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      – TitleFull: In Science Journals.
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              Text: 6/11/2026
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              Y: 2026
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