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14981
DataSheet1_qInward variability-based in-silico proarrhythmic risk assessment of drugs using deep learning model.PDF
Published 2022“…This study proposed a convolutional neural network (CNN) model using the variability of promising in silico TdP metrics hypothesizing that the variability of in silico features based on beats has more information than the single value of in silico features. We performed the action potential (AP) simulation using a human ventricular myocyte model to calculate seven in silico features representing the electrophysiological cell states of drug effects over 1,000 beats: qNet, qInward, intracellular calcium duration at returning to 50% baseline (CaD50) and 90% baseline (CaD90), AP duration at 50% repolarization (APD50) and 90% repolarization (APD90), and dVm/dtMax_repol. …”
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14982
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14983
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14984
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14986
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14987
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14988
Table_1_When do bystanders get help from teachers or friends? Age and group membership matter when indirectly challenging social exclusion.DOCX
Published 2022“…<p>We examined developmental changes in British children’s (8- to 10-year-olds) and adolescents’ (13- to 15-year-olds, N = 340; Female N = 171, 50.3%) indirect bystander reactions (i.e., judgments about whether to get help and from whom when witnessing social exclusion) and their social-moral reasoning regarding their reactions to social exclusion. …”
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14989
Data Sheet 1_Artificial intelligence-assisted delineation for postoperative radiotherapy in patients with lung cancer: a prospective, multi-center, cohort study.docx
Published 2024“…CV for OARs was reduced by approximately 50%. In addition to better contouring accuracy, the AI-assisted delineation significantly decreased the consuming time and improved the efficiency.…”
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14990
DataSheet_1_Serum uric acid is related to liver and kidney disease and 12-year mortality risk after myocardial infarction.docx
Published 2023“…</p>Results<p>Median baseline FLI was 67 (men, 68; women, 64), and mean ± SD eGFR was 81 ± 20 mL/min per 1.73 m<sup>2</sup> (17% with CKD). …”
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14991
Sensitivity analysis.
Published 2025“…For each patient, a constant 50% reduction in each activation mechanism was simulated and the mean reduction in IL6 peak was calculated (reference scenario, black dots, same values as shown in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012908#pcbi.1012908.g008" target="_blank">Fig 8A</a> fourth panel); this analysis was then repeated by increasing ( + ) and decreasing (–) each parameter in 50% increments.…”
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14992
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14993
Expression of mCD8GFP in the olfactory neuron does not alter odor responses.
Published 2015“…<p><b>(A)</b> ab2 sensilla were labeled using <i>Or59b-Gal4</i> to drive 15x<i>UAS-IVS-mCD8GFP</i> expression. …”
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14994
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14995
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14996
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14997
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14998
CDA deficiency leads to excess dCTP, inhibiting PARP-1 activity and leading to UFB formation.
Published 2015“…(E) <i>In vitro</i> analysis of PARP-1 activity in the presence of 1 mM 3-AB or 10 mM dCTP, dUTP, dTTP, dGTP, dATP. Error bars represent means ± SD from three independent experiments. (F) <i>In vitro</i> analysis of PARP-1 activity in the presence of 10 mM dCTP and various amounts of biotinylated NAD<sup>+</sup> (20; 50; 100 μM). …”
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14999
Uniform downscaling of postsynaptic AMPA receptors across the dendritic tree in primary hippocampal cultures.
Published 2019“…(B) Representative EPSC trace evoked by a pair of brief depolarizations (+100 mV, 50-ms interval) of the presynaptic neuron. (C–D) Time course of EPSC amplitude (C) and PPR (D) from an example recording. …”
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15000
Early mobilization of critically ill patients in the intensive care unit: A systematic review and meta-analysis
Published 2019“…Twenty-three RCTs comprising 2,308 critically ill patients were ultimately included. Early mobilization decreased the incidence of ICU-acquired weakness (ICU-AW) at hospital discharge (three studies, 190 patients, relative risk (RR): 0.60, 95% confidence interval (CI) [0.40, 0.90]; <i>p</i> = 0.013, <i>I</i><sup><i>2</i></sup> = 0.0%), increased the number of patients who were able to stand (one study, 50 patients, 90% vs. 62%, <i>p</i> = 0.02), increased the number of ventilator-free days (six studies, 745 patients, standardized mean difference (SMD): 0.17, 95% CI [0.02, 0.31]; <i>p</i> = 0.023, <i>I</i><sup><i>2</i></sup> = 35.5%) during hospitalization, increased the distance the patient was able to walk unassisted (one study, 104 patients, 33.4 (0–91.4) meters vs. 0 (0–30.4) meters, <i>p</i> = 0.004) at hospital discharge, and increased the discharged-to-home rate (seven studies, 793 patients, RR: 1.16, 95% CI [1.00, 1.34]; <i>p</i> = 0.046). …”