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Showing 1,221 - 1,240 results of 2,241 for search '(( aromatic decrease ) OR ( ((somatic decrease) OR (small decrease)) ))', query time: 0.55s Refine Results
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    Using Environmental Mixture Exposure-Triggered Biological Knowledge-Driven Machine Learning to Predict Early Pregnancy Loss by Mengyuan Ren (14724676)

    Published 2025
    “…While knowledge graph networks offer valuable advantages in biological interpretation and prediction, their application in epidemiological studies, particularly in a small sample size setting, remains scarce. We recruited 116 women undergoing in vitro fertilization and embryo transfer (IVF-ET) treatment in Beijing and Yantai City, China. …”
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    Charge-Transfer-Driven Electrical Conductivity in Single Crystals of Assembled Triphenylamine Bis-urea Macrocycles by Fahidat A. Gbadamosi (22123930)

    Published 2025
    “…This is attributed to efficient CT observed in spectroscopic analyses and is consistent with the computed small HOMO–LUMO gap (2.92 eV) in a model of the host–guest system. …”
  8. 1228

    Charge-Transfer-Driven Electrical Conductivity in Single Crystals of Assembled Triphenylamine Bis-urea Macrocycles by Fahidat A. Gbadamosi (22123930)

    Published 2025
    “…This is attributed to efficient CT observed in spectroscopic analyses and is consistent with the computed small HOMO–LUMO gap (2.92 eV) in a model of the host–guest system. …”
  9. 1229

    Charge-Transfer-Driven Electrical Conductivity in Single Crystals of Assembled Triphenylamine Bis-urea Macrocycles by Fahidat A. Gbadamosi (22123930)

    Published 2025
    “…This is attributed to efficient CT observed in spectroscopic analyses and is consistent with the computed small HOMO–LUMO gap (2.92 eV) in a model of the host–guest system. …”
  10. 1230

    Charge-Transfer-Driven Electrical Conductivity in Single Crystals of Assembled Triphenylamine Bis-urea Macrocycles by Fahidat A. Gbadamosi (22123930)

    Published 2025
    “…This is attributed to efficient CT observed in spectroscopic analyses and is consistent with the computed small HOMO–LUMO gap (2.92 eV) in a model of the host–guest system. …”
  11. 1231

    Charge-Transfer-Driven Electrical Conductivity in Single Crystals of Assembled Triphenylamine Bis-urea Macrocycles by Fahidat A. Gbadamosi (22123930)

    Published 2025
    “…This is attributed to efficient CT observed in spectroscopic analyses and is consistent with the computed small HOMO–LUMO gap (2.92 eV) in a model of the host–guest system. …”
  12. 1232

    Charge-Transfer-Driven Electrical Conductivity in Single Crystals of Assembled Triphenylamine Bis-urea Macrocycles by Fahidat A. Gbadamosi (22123930)

    Published 2025
    “…This is attributed to efficient CT observed in spectroscopic analyses and is consistent with the computed small HOMO–LUMO gap (2.92 eV) in a model of the host–guest system. …”
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    Flowchart of the study population. by Emma Hertting (21568077)

    Published 2025
    “…<div><p>Objective</p><p>To investigate the effect of antenatal identification of small for gestational age (SGA) fetuses on perinatal and childhood outcomes, separately analyzing early- and late-onset fetal growth restriction (FGR).…”
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    In Situ Fluorescence Imaging of Oxygen Evolution on Epitaxial Perovskite Films with Composition Gradients by Daniel J. Zheng (16447930)

    Published 2025
    “…To date, most OER catalyst discovery has relied on human-driven approaches that have led to an understanding of only a small proportion of all possible materials. In recent years, the advent of high-throughput virtual screening and machine learning has significantly increased the space that has been explored, but methods for experimentally validating the OER activities at scale are still limited and challenging. …”
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    In Situ Fluorescence Imaging of Oxygen Evolution on Epitaxial Perovskite Films with Composition Gradients by Daniel J. Zheng (16447930)

    Published 2025
    “…To date, most OER catalyst discovery has relied on human-driven approaches that have led to an understanding of only a small proportion of all possible materials. In recent years, the advent of high-throughput virtual screening and machine learning has significantly increased the space that has been explored, but methods for experimentally validating the OER activities at scale are still limited and challenging. …”
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