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161
Increasing network size does not guarantee convergence to a balanced state.
Published 2023“…The spiking activity of the spiking LIF network (colored lines) is captured by the SSN model (black lines). As <i>N</i> increases we observe a broadening of the bistability window and a decreasing firing rate, see inset. …”
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Supplementary Material for: High-sensitivity Troponin I Measurement in a Large Contemporary Cohort: Implications for Clinical Care
Published 2025“…Male sex, higher HDL-C, higher Hgb A1c, decreasing eGFR, and increasing systolic blood pressure were significant predictors of increased hsTnI. …”
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Table1_Case Report: Immune Microenvironment and Mutation Features in a Patient With Epstein–Barr Virus Positive Large B-Cell Lymphoma Secondary to Angioimmunoblastic T-Cell Lymphom...
Published 2022“…Here, we describe the tumor microenvironment and mutation features of a patient with EBV + large B-cell lymphoma (LBCL) secondary to AITL. …”
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Biases in larger populations.
Published 2025“…<p>(<b>A</b>) Maximum absolute bias vs the number of neurons in the population for the Bayesian decoder. …”
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Supplementary Material for: Dysregulated MDR1 by PRDM1/Blimp1 Is Involved in the Doxorubicin Resistance of Non-Germinal Center B-Cell-Like Diffuse Large B-Cell Lymphoma
Published 2021“…This study aimed to investigate drug resistance mechanisms in non-germinal center B-cell-like (non-GCB) DLBCL. <b><i>Methods:</i></b> Doxorubicin (DOX)-resistant OCI-Ly3 cells were generated through long-term incubation of cells in a medium with gradually increasing DOX concentrations. …”
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Loss of ECRG4 expression decreases neutrophil mobilization from bone marrow reserves.
Published 2024Subjects: -
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The number of expected vaccinations decreases with the expected vaccination time, whereas the peak of infections increases.
Published 2023“…Brighter colours indicate higher 〈<i>s</i>(<i>t</i><sub><i>v</i></sub>)〉. Note the nonlinear increase of <i>n</i> on the y-axis. C) Relatedly, we show the peak of infections max<sub><i>t</i></sub>(<i>i</i>(<i>t</i>)) as a heat map as function of the expected vaccination time 〈<i>t</i><sub><i>v</i></sub>〉 for the same range of vaccine arrival distributions <i>p</i><sub><i>n</i></sub> as in B). …”
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