Showing 38,661 - 38,680 results of 122,698 for search '(( 2 e decrease ) OR ( 5 ((step decrease) OR (((mean decrease) OR (a decrease)))) ))', query time: 2.26s Refine Results
  1. 38661
  2. 38662

    Phenotype of B1 and CD5<sup>+</sup> B cells in whole blood of patients with severe periodontitis (SP) and controls (No Periodontitis). by Julien Demoersman (4857316)

    Published 2018
    “…<b>B</b>) Circulating B cell distribution according to CD11b and CD5 expression reveals a decrease in the CD11b<sup>+</sup>CD5<sup>+</sup> B cells in the SP patients in comparison with the controls. …”
  3. 38663

    DataSheet1_Case report: A case of Rabson–Mendenhall syndrome: long-term follow-up and therapeutic management with empagliflozin.docx by R. Foglino (18870559)

    Published 2024
    “…</p><p>Results: After 10 months of treatment, empagliflozin therapy led to a clinically meaningful reduction in HbA1c levels, decreasing from 8.5% to 7.1%, along with an improvement in TIR from 47% to 74%. …”
  4. 38664

    Image_4_STXBP1 Syndrome Is Characterized by Inhibition-Dominated Dynamics of Resting-State EEG.TIF by Simon J. Houtman (8716335)

    Published 2021
    “…Brain-wide abnormalities were observed in each of the four resting-state measures assessed here: (i) slowing of activity and increased low-frequency power in the range 1.75–4.63 Hz, (ii) increased long-range temporal correlations in the 11–18 Hz range, (iii) a decrease of our recently introduced measure of functional E/I ratio in a similar frequency range (12–24 Hz), and (iv) a larger exponent of the 1/f-like aperiodic component of the power spectrum. …”
  5. 38665

    Image_6_STXBP1 Syndrome Is Characterized by Inhibition-Dominated Dynamics of Resting-State EEG.TIF by Simon J. Houtman (8716335)

    Published 2021
    “…Brain-wide abnormalities were observed in each of the four resting-state measures assessed here: (i) slowing of activity and increased low-frequency power in the range 1.75–4.63 Hz, (ii) increased long-range temporal correlations in the 11–18 Hz range, (iii) a decrease of our recently introduced measure of functional E/I ratio in a similar frequency range (12–24 Hz), and (iv) a larger exponent of the 1/f-like aperiodic component of the power spectrum. …”
  6. 38666

    Image_3_STXBP1 Syndrome Is Characterized by Inhibition-Dominated Dynamics of Resting-State EEG.TIF by Simon J. Houtman (8716335)

    Published 2021
    “…Brain-wide abnormalities were observed in each of the four resting-state measures assessed here: (i) slowing of activity and increased low-frequency power in the range 1.75–4.63 Hz, (ii) increased long-range temporal correlations in the 11–18 Hz range, (iii) a decrease of our recently introduced measure of functional E/I ratio in a similar frequency range (12–24 Hz), and (iv) a larger exponent of the 1/f-like aperiodic component of the power spectrum. …”
  7. 38667

    Image_1_STXBP1 Syndrome Is Characterized by Inhibition-Dominated Dynamics of Resting-State EEG.TIF by Simon J. Houtman (8716335)

    Published 2021
    “…Brain-wide abnormalities were observed in each of the four resting-state measures assessed here: (i) slowing of activity and increased low-frequency power in the range 1.75–4.63 Hz, (ii) increased long-range temporal correlations in the 11–18 Hz range, (iii) a decrease of our recently introduced measure of functional E/I ratio in a similar frequency range (12–24 Hz), and (iv) a larger exponent of the 1/f-like aperiodic component of the power spectrum. …”
  8. 38668

    DataSheet1_Preclinical Evaluation of Dimethyl Itaconate Against Hepatocellular Carcinoma via Activation of the e/iNOS-Mediated NF-κB–Dependent Apoptotic Pathway.docx by Anurag Kumar Gautam (8543196)

    Published 2022
    “…As per molecular insights, DI has the ability to trigger mitochondrial apoptosis through iNOS- and eNOS-induced activation of the NF-κB/Bcl-2 family of proteins, CytC, caspase-3, and caspase-9 signaling cascade. …”
  9. 38669
  10. 38670

    Experimental design and examination of factors affecting blink-locked pupillary responses. by Kyung Yoo (11851776)

    Published 2021
    “…The legend indicates the corneal flux density of the visual field (cd m<sup>–2</sup> deg<sup>2</sup>). (<b>E</b>) BPR average across background-luminance levels within subjects. …”
  11. 38671

    Right-wing authoritarianism and stereotype-driven expectations interact in shaping intergroup trust in one-shot vs multiple-round social interactions by Giorgia Ponsi (4338769)

    Published 2017
    “…We found that in low-RWA participants trusting behavior decreased over time when interacting with high-W groups (i.e., expected to reciprocate trust), but did not change when interacting with low-W groups (i.e., expected not to reciprocate trust). …”
  12. 38672
  13. 38673

    Image_2_Allogeneic and xenogeneic lymphoid reconstitution in a RAG2−/−IL2RGy/− severe combined immunodeficient pig: A preclinical model for intrauterine hematopoietic transplantati... by Renan B. Sper (3635989)

    Published 2022
    “…Engraftment of allogeneic hematopoietic cells was detected based on co-expression of pH2B-eGFP and various markers of differentiation. …”
  14. 38674

    Iron-VgrR binding disassociates VgrR-DNA and VgrR-VgrS interactions. by Li Wang (15202)

    Published 2016
    “…The assay was repeated independently three times. (E) Ferrous iron disassociates the interaction between phosphorylated VgrR and P<i>tdvA</i>. 5′-FAM labelled P<i>tdvA</i> DNA was used in the MST assay. …”
  15. 38675

    Cytokine concentrations in induced sputum. by Alexia N. Perryman (15470814)

    Published 2023
    “…Machine learning algorithms showed that plasma cholesterol was a top predictor of O<sub>3</sub> responder status based on decrease in FEV1 (>5%). …”
  16. 38676

    Cytokine concentrations in plasma. by Alexia N. Perryman (15470814)

    Published 2023
    “…Machine learning algorithms showed that plasma cholesterol was a top predictor of O<sub>3</sub> responder status based on decrease in FEV1 (>5%). …”
  17. 38677

    Lung response variable importance ranking. by Alexia N. Perryman (15470814)

    Published 2023
    “…Machine learning algorithms showed that plasma cholesterol was a top predictor of O<sub>3</sub> responder status based on decrease in FEV1 (>5%). …”
  18. 38678

    Subject demographics. by Alexia N. Perryman (15470814)

    Published 2023
    “…Machine learning algorithms showed that plasma cholesterol was a top predictor of O<sub>3</sub> responder status based on decrease in FEV1 (>5%). …”
  19. 38679

    Induced sputum cell characteristics. by Alexia N. Perryman (15470814)

    Published 2023
    “…Machine learning algorithms showed that plasma cholesterol was a top predictor of O<sub>3</sub> responder status based on decrease in FEV1 (>5%). …”
  20. 38680

    Sterol and oxysterol concentrations in plasma. by Alexia N. Perryman (15470814)

    Published 2023
    “…Machine learning algorithms showed that plasma cholesterol was a top predictor of O<sub>3</sub> responder status based on decrease in FEV1 (>5%). …”