Showing 38,461 - 38,480 results of 104,207 for search '(( e non decrease ) OR ( 5 ((step decrease) OR (((we decrease) OR (a decrease)))) ))', query time: 2.07s Refine Results
  1. 38461
  2. 38462
  3. 38463

    Data_Sheet_1_A Novel Technique to Reject Artifact Components for Surface EMG Signals Recorded During Walking With Transcutaneous Spinal Cord Stimulation: A Pilot Study.pdf by Minjae Kim (6208052)

    Published 2021
    “…The performance of the filters was evaluated with data collected in various conditions (e.g., simulated artifacts contaminating sEMG in multiple degrees, various tSCS intensities in five lower-limb muscles of six participants). In the simulation test, after applying the ACSR filter, the contaminated-signal was well matched with the original signal, showing a high correlation (r = 0.959) and low amplitude difference (normalized root means square error = 0.266) between them. …”
  4. 38464
  5. 38465

    Long non-coding RNA-X-inactive specific transcript inhibits cell viability, and induces apoptosis through the microRNA-30c-5p/Bcl2-like protein 11 signaling axis in human granulosa... by Yichuan Guo (2734252)

    Published 2022
    “…However, cotransfection with amiR-30c-5p mimic significantly reduced these effects. Additionally, we discovered that the miR-30c-5p mimic effectively inhibited Bcl2-like protein 11 (BCL2L11) expression, a critical apoptotic promoter, whereas silencing of miR-30c-5p increased BCL2L11 expression, inhibited KGN cell proliferation, and induced apoptosis. …”
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  8. 38468

    Regulation by a shared sRNA synchronizes the temporal induction of mRNA expression. by Jörn Matthias Schmiedel (141779)

    Published 2012
    “…The heatmaps show simulation results for a regulatory scenario where a coordinate, step-like increase (C) or decrease (panel D) in both mRNA synthesis rates is accompanied by a step-like change in the sRNA synthesis rate in the opposite direction; this counter-regulation assumption was necessary to eliminate delay phases, and to obtain the same steady states in sRNA and sRNA-less systems. …”
  9. 38469

    Unlocking Predictive Capability and Enhancing Sensing Performances of Plasmonic Hydrogen Sensors via Phase Space Reconstruction and Convolutional Neural Networks by Xiangxin Lin (11576299)

    Published 2024
    “…Performance improvements observed are a reduction in response time by up to 3.7 times (average 2.1 times) across pressures, SNR increased by up to 9.3 times (average 3.9 times) across pressures, and LOD decreased from 16 Pa to an extrapolated 3 Pa, a 5.3-fold improvement. …”
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  15. 38475

    2-DOG blocks Aβ-induced neuronal ROS formation. by Leonardo M. Saraiva (358796)

    Published 2013
    “…<p>Representative DCF fluorescence images from control (vehicle-treated) cultures (Panel A), cultures exposed to 5 µM Aβ for 6 hours (Panel B) or cultures exposed to 5 µM Aβ+30 mM 2-DOG for 6 hours (Panel C). …”
  16. 38476

    Predicted transitive relations in a SynTReN model network. by J. Keith Vass (293806)

    Published 2013
    “…The success of our predictions depends on how the simulation is set up; we used 100 genes with known relations and 100 background genes, in the comparisons shown in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0018634#pone-0018634-t001" target="_blank"><b>Table 1</b></a>, but decreasing the number of background genes increases the complexity of the expected transitive relationships.…”
  17. 38477

    DataSheet_2_Epigenetic immune monitoring for COVID-19 disease course prognosis.zip by Björn Samans (7254668)

    Published 2024
    “…</p>Results<p>Epigenetic immune cell counting in venous blood showed equivalence with dried blood spots and with flow cytometrically determined cell counts of venous blood in healthy subjects. In venous blood, we detected relative lymphopenia, neutrophilia, and a decreased lymphocyte-to-neutrophil ratio for COVID-19 patients (n =103) when compared with healthy donors (n = 113). …”
  18. 38478

    DataSheet_1_Epigenetic immune monitoring for COVID-19 disease course prognosis.docx by Björn Samans (7254668)

    Published 2024
    “…</p>Results<p>Epigenetic immune cell counting in venous blood showed equivalence with dried blood spots and with flow cytometrically determined cell counts of venous blood in healthy subjects. In venous blood, we detected relative lymphopenia, neutrophilia, and a decreased lymphocyte-to-neutrophil ratio for COVID-19 patients (n =103) when compared with healthy donors (n = 113). …”
  19. 38479

    DataSheet_2_Epigenetic immune monitoring for COVID-19 disease course prognosis.zip by Björn Samans (7254668)

    Published 2023
    “…</p>Results<p>Epigenetic immune cell counting in venous blood showed equivalence with dried blood spots and with flow cytometrically determined cell counts of venous blood in healthy subjects. In venous blood, we detected relative lymphopenia, neutrophilia, and a decreased lymphocyte-to-neutrophil ratio for COVID-19 patients (n =103) when compared with healthy donors (n = 113). …”
  20. 38480

    DataSheet_1_Epigenetic immune monitoring for COVID-19 disease course prognosis.docx by Björn Samans (7254668)

    Published 2023
    “…</p>Results<p>Epigenetic immune cell counting in venous blood showed equivalence with dried blood spots and with flow cytometrically determined cell counts of venous blood in healthy subjects. In venous blood, we detected relative lymphopenia, neutrophilia, and a decreased lymphocyte-to-neutrophil ratio for COVID-19 patients (n =103) when compared with healthy donors (n = 113). …”