Showing 5,701 - 5,720 results of 9,503 for search 'Sveg~', query time: 1.82s Refine Results
  1. 5701
  2. 5702
  3. 5703
  4. 5704
  5. 5705

    Andreybulakhite, Ni(C<sub>2</sub>O<sub>4</sub>)&thinsp; ⋅ &thinsp;2H<sub>2</sub>O, the first natural nickel oxalate by O. S. Vereshchagin, S. N. Britvin, S. N. Britvin, D. V. Pankin, M. S. Zelenskaya, M. G. Krzhizhanovskaya, M. A. Kuz'mina, N. S. Vlasenko, O. V. Frank-Kamenetskaya

    Published 2025-02-01
    “…Andreybulakhite forms segregations of platy to prismatic crystals up to <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M13" display="inline" overflow="scroll" dspmath="mathml"><mrow><mn mathvariant="normal">2</mn><mo>×</mo><mn mathvariant="normal">1</mn><mo>×</mo><mn mathvariant="normal">1</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="43pt" height="10pt" class="svg-formula" dspmath="mathimg" md5hash="d929e2aabaa886f370b6ba53bba5c048"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="ejm-37-63-2025-ie00001.svg" width="43pt" height="10pt" src="ejm-37-63-2025-ie00001.png"/></svg:svg></span></span> <span class="inline-formula">µ</span>m in size that are localized in the upper part of the fruiting bodies (apothecia) of <i>Lecanora</i> cf. …”
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  6. 5706

    A Domain Decomposition Method for Hybrid Shell Vector Element with Boundary Integral Method by Lin Lei, Jun Hu, Hao-Quan Hu

    Published 2012-01-01
    “…Finally, several numerical examples are presented to prove the accuracy and efficiency of this DDM-SVE-BI method.…”
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  7. 5707
  8. 5708

    Efficiency metrics for ocean alkalinity enhancements under responsive and prescribed atmospheric <i>p</i>CO<sub>2</sub> conditions by M. D. Tyka

    Published 2025-01-01
    “…It is shown that the efficiency metric <span class="inline-formula"><i>η</i>(<i>t</i>)</span>, used in prescribed <span class="inline-formula"><i>p</i></span>CO<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M10" display="inline" overflow="scroll" dspmath="mathml"><mrow><msubsup><mi/><mn mathvariant="normal">2</mn><mi mathvariant="normal">atm</mi></msubsup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="16pt" height="16pt" class="svg-formula" dspmath="mathimg" md5hash="2b4bdf2e6c26723c23f0ea148a8eb081"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="bg-22-341-2025-ie00001.svg" width="16pt" height="16pt" src="bg-22-341-2025-ie00001.png"/></svg:svg></span></span> simulations, equals the equivalent schedule of a gradual DAC removal and storage in a fully coupled system.…”
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  9. 5709

    Technical note: “U–Th Analysis” – open-source software dedicated to MC-ICP-MS U-series data treatment and evaluation by I. K. Kerber, F. Kontor, A. Mielke, A. Mielke, S. Warken, S. Warken, N. Frank

    Published 2025-01-01
    “…We especially focus on features that ensure reproducibility and enable user-friendly reanalysis of measurements such as customized calculation constants with templates. Result files are saved automatically and contain all relevant settings used. …”
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  10. 5710

    Impact of the Late Miocene Cooling on the loss of coral reefs in the Central Indo-Pacific by B. F. Petrick, L. Reuning, M. Pfeiffer, G. Auer, L. Schwark

    Published 2025-02-01
    “…Here, we present a TEX<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M1" display="inline" overflow="scroll" dspmath="mathml"><mrow><msubsup><mi/><mn mathvariant="normal">86</mn><mi mathvariant="normal">H</mi></msubsup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="11pt" height="17pt" class="svg-formula" dspmath="mathimg" md5hash="2a07f66c340e5ca419639b2784f7d244"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="cp-21-405-2025-ie00001.svg" width="11pt" height="17pt" src="cp-21-405-2025-ie00001.png"/></svg:svg></span></span>-based sea surface temperature (SST) record for the Coral Sea, suggesting that the LMC is present across the Central Indo-Pacific. …”
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  11. 5711

    Design Criteria of Soft Exogloves for Hand Rehabilitation-Assistance Tasks by Juana-Mariel Dávila-Vilchis, Juan C. Ávila-Vilchis, Adriana H. Vilchis-González, LAZ-Avilés

    Published 2020-01-01
    “…This paper establishes design criteria for soft exogloves (SEG) to be used as rehabilitation or assistance devices. …”
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  12. 5712

    Proof of concept for multirotor systems with vortex-generating modes for regenerative wind energy: a study based on numerical simulations and experimental data by F. Avila Correia Martins, A. van Zuijlen, A. van Zuijlen, C. Simão Ferreira

    Published 2025-01-01
    “…In configurations with two or four ABL-control wings, the total wind power in the wake recovers to 95 % of the free-stream value at positions as early as <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M1" display="inline" overflow="scroll" dspmath="mathml"><mrow><mi>x</mi><mo>/</mo><mi>D</mi><mo>≈</mo><mn mathvariant="normal">6</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="42pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="f1f50c65a676d34319b7e018d39c81d7"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="wes-10-41-2025-ie00001.svg" width="42pt" height="14pt" src="wes-10-41-2025-ie00001.png"/></svg:svg></span></span> downstream of the multirotor system, representing a recovery rate that is approximately an order of magnitude faster than that observed in the baseline wake without ABL-control capabilities. …”
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  13. 5713

    Characterization of dynamic stall of a wind turbine airfoil with a high Reynolds number by H. R. Kim, J. A. Printezis, J. D. Ahrens, J. R. Seume, L. Wein

    Published 2025-01-01
    “…<p>This study shows an extensive analysis of dynamic stall on wind turbine airfoils, preparing for the development of a reduced-order model applicable to thick airfoils (<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M1" display="inline" overflow="scroll" dspmath="mathml"><mrow><mi>t</mi><mo>/</mo><mi>c</mi><mo>&gt;</mo><mn mathvariant="normal">0.21</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="53pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="aa10b0f7589f34c39cbb1ba9f034335d"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="wes-10-161-2025-ie00001.svg" width="53pt" height="14pt" src="wes-10-161-2025-ie00001.png"/></svg:svg></span></span>) in the future. …”
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  14. 5714

    Characterization of dynamic stall of a wind turbine airfoil with a high Reynolds number by H. R. Kim, J. A. Printezis, J. D. Ahrens, J. R. Seume, L. Wein

    Published 2025-01-01
    “…<p>This study shows an extensive analysis of dynamic stall on wind turbine airfoils, preparing for the development of a reduced-order model applicable to thick airfoils (<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M1" display="inline" overflow="scroll" dspmath="mathml"><mrow><mi>t</mi><mo>/</mo><mi>c</mi><mo>&gt;</mo><mn mathvariant="normal">0.21</mn></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="53pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="aa10b0f7589f34c39cbb1ba9f034335d"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="wes-10-161-2025-ie00001.svg" width="53pt" height="14pt" src="wes-10-161-2025-ie00001.png"/></svg:svg></span></span>) in the future. …”
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  15. 5715
  16. 5716

    Decision-making in clinical diagnostic for brain tumor detection based on advanced machine ‎learning algorithm‎ by Huang Tangsen, Yin Xiangdong, Jiang Ensong

    Published 2025-01-01
    “…The improved performance of the enhanced SVC model, SVEB, suggests it could offer a reliable approach for accurate brain tumor prediction. …”
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  17. 5717
  18. 5718

    Technical note: Towards atmospheric compound identification in chemical ionization mass spectrometry with pesticide standards and machine learning by F. Bortolussi, H. Sandström, F. Partovi, F. Partovi, J. Mikkilä, P. Rinke, P. Rinke, P. Rinke, P. Rinke, M. Rissanen, M. Rissanen

    Published 2025-01-01
    “…The CIMS measurements were performed with an Orbitrap mass spectrometer coupled to a thermal desorption multi-scheme chemical ionization inlet unit (TD-MION-MS) with both negative and positive ionization modes utilizing <span class="inline-formula">Br<sup>−</sup></span>, <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M2" display="inline" overflow="scroll" dspmath="mathml"><mrow class="chem"><msubsup><mi mathvariant="normal">O</mi><mn mathvariant="normal">2</mn><mo>-</mo></msubsup></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="17pt" height="16pt" class="svg-formula" dspmath="mathimg" md5hash="0874c22b59d147314cd2f8e88d131371"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="acp-25-685-2025-ie00001.svg" width="17pt" height="16pt" src="acp-25-685-2025-ie00001.png"/></svg:svg></span></span>, <span class="inline-formula">H<sub>3</sub>O<sup>+</sup></span> and <span class="inline-formula">(CH<sub>3</sub>)<sub>2</sub>COH<sup>+</sup></span> (<span class="inline-formula">AceH<sup>+</sup></span>) as reagent ions. …”
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  19. 5719

    A novel methodology for assessing the hygroscopicity of aerosol filter samples by N. Raparthi, A. S. Wexler, A. S. Wexler, A. S. Wexler, A. S. Wexler, A. M. Dillner

    Published 2025-02-01
    “…Hygroscopic parameters, including the water-to-solute (W <span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M1" display="inline" overflow="scroll" dspmath="mathml"><mo>/</mo></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="8pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="1b4178c77ca0d4bfee6c9ddd864f3a43"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="amt-18-603-2025-ie00001.svg" width="8pt" height="14pt" src="amt-18-603-2025-ie00001.png"/></svg:svg></span></span> S) ratio, molality, mass fraction solute (mfs), and growth factors (GFs), were calculated from the measurements. …”
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  20. 5720

    Convolutional neural networks for sea surface data assimilation in operational ocean models: test case in the Gulf of Mexico by O. Zavala-Romero, O. Zavala-Romero, A. Bozec, E. P. Chassignet, J. R. Miranda, J. R. Miranda

    Published 2025-01-01
    “…The CNNs are trained to correct model errors from a 2-year, high-resolution (<span class="inline-formula"><math xmlns="http://www.w3.org/1998/Math/MathML" id="M1" display="inline" overflow="scroll" dspmath="mathml"><mrow><mn mathvariant="normal">1</mn><mo>/</mo><mn mathvariant="normal">25</mn><mi mathvariant="italic">°</mi></mrow></math><span><svg:svg xmlns:svg="http://www.w3.org/2000/svg" width="31pt" height="14pt" class="svg-formula" dspmath="mathimg" md5hash="0fa693bbf5c78df25ed18818c53372c4"><svg:image xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="os-21-113-2025-ie00001.svg" width="31pt" height="14pt" src="os-21-113-2025-ie00001.png"/></svg:svg></span></span>) HYCOM dataset, assimilated using the Tendral Statistical Interpolation System (T-SIS). …”
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