Showing 161 - 180 results of 24,265 for search '(( significantly ((large increases) OR (larger decrease)) ) OR ( significantly better decrease ))', query time: 0.59s Refine Results
  1. 161

    Spatial information of excitatory neurons in APP/PS1 mice are decreased in dCA1 and vCA1. by Udaysankar Chockanathan (18510288)

    Published 2024
    “…The spatial information in dCA1 was significantly larger than circularly shuffled spike trains with similar mean firing rates for C57BL/6 mice (mean ± std: empirical = 0.134 ± 0.050, shuffled = 0.123 ± 0.035, p < 0.005, two-sided Wilcoxon rank-sum test, n<sub>empirical</sub> = 229 units from 5 recording sessions, n<sub>shuffled</sub> = 22900 simulated units from 5 recording sessions), but not for APP/PS1 mice (mean ± std: empirical = 0.132 ± 0.054, shuffled = 0.124 ± .054, p = 0.13, two-sided Wilcoxon rank-sum test, n<sub>empirical</sub> = 124 units from 4 recording sessions, n<sub>shuffled</sub> = 12400 simulated units from 4 recording sessions). …”
  2. 162

    Novel Equivalent Carbon Number Strategy for Large-Scale Lipidomics Data Analysis via Ultrahigh–Performance Liquid Chromatography–Orbitrap Astral Mass Spectrometry by Yao Chen (149006)

    Published 2025
    “…The new Orbitrap mass spectrometry (MS), equipped with an Astral analyzer, significantly increases MS/MS acquisition rate. However, simultaneous analysis of lipid retention behavior and structural annotation from this data remains challenging. …”
  3. 163

    Novel Equivalent Carbon Number Strategy for Large-Scale Lipidomics Data Analysis via Ultrahigh–Performance Liquid Chromatography–Orbitrap Astral Mass Spectrometry by Yao Chen (149006)

    Published 2025
    “…The new Orbitrap mass spectrometry (MS), equipped with an Astral analyzer, significantly increases MS/MS acquisition rate. However, simultaneous analysis of lipid retention behavior and structural annotation from this data remains challenging. …”
  4. 164

    Novel Equivalent Carbon Number Strategy for Large-Scale Lipidomics Data Analysis via Ultrahigh–Performance Liquid Chromatography–Orbitrap Astral Mass Spectrometry by Yao Chen (149006)

    Published 2025
    “…The new Orbitrap mass spectrometry (MS), equipped with an Astral analyzer, significantly increases MS/MS acquisition rate. However, simultaneous analysis of lipid retention behavior and structural annotation from this data remains challenging. …”
  5. 165

    Novel Equivalent Carbon Number Strategy for Large-Scale Lipidomics Data Analysis via Ultrahigh–Performance Liquid Chromatography–Orbitrap Astral Mass Spectrometry by Yao Chen (149006)

    Published 2025
    “…The new Orbitrap mass spectrometry (MS), equipped with an Astral analyzer, significantly increases MS/MS acquisition rate. However, simultaneous analysis of lipid retention behavior and structural annotation from this data remains challenging. …”
  6. 166

    Novel Equivalent Carbon Number Strategy for Large-Scale Lipidomics Data Analysis via Ultrahigh–Performance Liquid Chromatography–Orbitrap Astral Mass Spectrometry by Yao Chen (149006)

    Published 2025
    “…The new Orbitrap mass spectrometry (MS), equipped with an Astral analyzer, significantly increases MS/MS acquisition rate. However, simultaneous analysis of lipid retention behavior and structural annotation from this data remains challenging. …”
  7. 167

    Novel Equivalent Carbon Number Strategy for Large-Scale Lipidomics Data Analysis via Ultrahigh–Performance Liquid Chromatography–Orbitrap Astral Mass Spectrometry by Yao Chen (149006)

    Published 2025
    “…The new Orbitrap mass spectrometry (MS), equipped with an Astral analyzer, significantly increases MS/MS acquisition rate. However, simultaneous analysis of lipid retention behavior and structural annotation from this data remains challenging. …”
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    Basis-Set Limit CCSD(T) Energies for Large Molecules with Local Natural Orbitals and Reduced-Scaling Basis-Set Corrections by Dávid Mester (6983864)

    Published 2024
    “…Considering that the calculation of the DBBSC and CABS corrections only moderately increases the wall-clock time required for the post-HF steps in practical applications, the proposed DBBSC-LNO-CCSD(T) method offers a highly efficient and robust tool for large-scale calculations.…”
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