Search alternatives:
point decrease » point increase (Expand Search)
ng decrease » nn decrease (Expand Search), _ decrease (Expand Search), we decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
5 ng » 5 mg (Expand Search), 5 g (Expand Search), 5 nm (Expand Search)
point decrease » point increase (Expand Search)
ng decrease » nn decrease (Expand Search), _ decrease (Expand Search), we decrease (Expand Search)
a decrease » _ decrease (Expand Search), _ decreased (Expand Search), _ decreases (Expand Search)
5 ng » 5 mg (Expand Search), 5 g (Expand Search), 5 nm (Expand Search)
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15401
DataSheet_5_Barley ABI5 (Abscisic Acid INSENSITIVE 5) Is Involved in Abscisic Acid-Dependent Drought Response.docx
Published 2020“…<p>ABA INSENSITIVE 5 (ABI5) is a basic leucine zipper (bZIP) transcription factor which acts in the abscisic acid (ABA) network and is activated in response to abiotic stresses. …”
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15402
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15403
DataSheet1_Enhancing human islet xenotransplant survival and function in diabetic immunocompetent mice through LRH-1/NR5A2 pharmacological activation.pdf
Published 2024“…The discovery that pharmacological activation of the nuclear receptor LRH-1/NR5A2 can reverse hyperglycemia in mouse models of T1D by altering, and not suppressing the autoimmune attack, prompted us to investigate whether LRH-1/NR5A2 activation could improve human islet function/survival after xenotransplantation in immunocompetent mice. …”
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15404
Effect of Cytosolic pH on Inward Currents Reveals Structural Characteristics of the Proton Transport Cycle in the Influenza A Protein M2 in Cell-Free Membrane Patches of <i>Xenopus...
Published 2014“…<div><p>Transport activity through the mutant D44A of the M2 proton channel from influenza virus A was measured in excised inside-out macro-patches of <i>Xenopus laevis</i> oocytes at cytosolic pH values of 5.5, 7.5 and 8.2. …”
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15405
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15406
In silico evaluation of the inhibitory potential of nucleocapsid inhibitors of SARS-CoV-2: a binding and energetic perspective
Published 2022“…In addition, the frustration changes due to drug binding brings a decrease in local frustration and this decrease is mainly observed in α-helix, β3, β5, and β6 strands and are important for drug binding. …”
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15407
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15409
Relates to Fig 5.
Published 2021“…<p><b>No difference in endogenous rhythms in mice exposed to CSDS. (A)</b> In the presence of a CD1 social target (nonaggressor), susceptible mice displaying <b>(i)</b> decreased SI ratio (<i>F</i><sub>2,27</sub> = 18.08, <i>P</i> < 0.0001), <b>(ii)</b> decreased time in the interaction zone (<i>F</i><sub>2,27</sub> = 19.68, <i>P</i> < 0.0001), <b>(iii)</b> increased time in the corner zone (<i>F</i><sub>2,27</sub> = 5.188, <i>P</i> < 0.05), <b>(iv)</b> no difference in total travel. …”
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15410
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15411
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15412
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15413
Zwitterion-Functionalized Cuprous Oxide Nanoparticles for Highly Specific and Enzymeless Electrochemical Creatinine Biosensing in Human Serum
Published 2023“…Moreover, robust storage stability with a negligible decrease in signal strength over an extended storage period of 6 months was achieved, thus highlighting the practical feasibility for point-of-care testing of creatinine.…”
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15414
Lateral ventricular wall whole mount immunofluorescence from brains of 2f1 <i>Lrig1</i><sup><em>T2A-iCreERT2/+</em></sup><i>; Rosa26</i><sup><em>Ai14/+</em></sup> mice at 7 days, 1...
Published 2025“…<p dir="ltr">An experiment in Nam and Capecchi, 2020 performed with the <a href="https://doi.org/10.6084/m9.figshare.18092849.v84" rel="noreferrer" target="_blank">line 1c2 mice</a> was repeated with the <a href="https://doi.org/10.6084/m9.figshare.12401006.v129" rel="noreferrer" target="_blank">line 2f1 mice</a> to ensure that the line 2f1 behaves the same as the line 1c2. …”
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15415
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15416
Predicting inadequate postoperative pain management in depressed patients: A machine learning approach
Published 2019“…The primary outcome was the difference between preoperative pain score and postoperative pain at discharge, 3-week and 8-week time points. We developed computational models to predict the increase or decrease in the postoperative pain across the 3 time points by using the patient’s EHR data (e.g. medications, vitals, demographics) captured before surgery. …”
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15417
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15418
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15419
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15420