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  • 2025

    I propose a data-driven surrogate model for the In-Medium Similarity Renormalization Group (IMSRG) method using Dynamic Mode Decomposition (DMD). First, the Magnus formulation of the IMSRG is leveraged to represent the unitary transformation of many-body operators of interest. Then, snapshots of these operators at different flow parameters are decomposed by DMD to approximate the IMSRG flow in a latent space. The resulting emulator accurately reproduces the asymptotic flow behavior while lowering computational costs. I demonstrate that the DMD-based emulator results in a three to five times speedup compared to the full IMSRG calculation in a few test cases based on the ground state properties of 56Ni, 16O, and 40Ca in realistic nuclear interactions. While this is still not an acceleration that is significant enough to enable us to fully quantify, e.g., statistical uncertainties using Bayesian methods, this work offers a starting point for constructing efficient surrogate models for the IMSRG.
    • Book : 8(1)
    • Pub. Date : 2025
    • Page : pp.13-13
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  • 2025


    • Book : 33()
    • Pub. Date : 2025
    • Page : pp.100730-100730
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  • 2025

    AbstractThis study estimates the meteorological covariations of aerosol and marine boundary layer (MBL) cloud properties in the eastern North Atlantic (ENA) region, characterized by diverse synoptic conditions. Using a deep‐learning‐based clustering model with mid‐level and surface daily meteorological data, we identify seven distinct synoptic regimes during the summer from 2016 to 2021. Our analysis, incorporating reanalysis data and satellite retrievals, shows that surface aerosols and MBL clouds exhibit clear regime‐dependent characteristics, whereas lower tropospheric aerosols do not. This discrepancy likely arises from synoptic regimes determined by daily large‐scale conditions, which may overlook air mass histories that predominantly dictate lower tropospheric aerosol conditions. Focusing on three regimes dominated by northerly winds, we analyze the Atmospheric Radiation Measurement Program (ARM) ENA observations on Graciosa Island in the Azores. In the subtropical anticyclone regime, fewer cumulus clouds and more single‐layer stratocumulus clouds with light drizzle are observed, along with the highest cloud droplet number concentration (Nd), surface cloud condensation nuclei (CCN) and surface aerosol levels. The post‐trough regime features more broken or multi‐layer stratocumulus clouds with slightly higher surface rain rate, and lower Nd and surface CCN levels. The weak trough regime is characterized by the deepest MBL clouds, primarily cumulus and broken stratocumulus clouds, with the strongest surface rain rate and the lowest Nd, surface CCN and surface aerosol levels, indicating strong wet scavenging. These findings highlight the importance of considering the covariation of cloud and aerosol properties driven by large‐scale regimes when assessing aerosol indirect effects using observations.
    • Book : 130(4)
    • Pub. Date : 2025
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  • 2025

    The Survivin protein has roles in repairing incorrect microtubule-kinetochore attachments at prometaphase, and the faithful execution of cytokinesis, both as part of the chromosomal passenger complex (CPC). In its absence, mitotic errors often occur that lead to chromosome missegregation, a cause of aneuploidy, polyploidy and ultimately cancer. Adding to these well-known roles of Survivin, this paper now shows for the first time that this protein is required for cancer cells to enter mitosis, and that, in its absence, HeLa cells accumulate at early prophase, or prior to prometaphase as reported before. This early prophase blockage is demonstrated by the inability of Survivin-depleted cells to disassemble their nuclear lamina and their low Cdk1 activity. Importantly, escaping the arrest induced by the Survivin double mutant SUR D70A/D71A leads to multiple mitotic defects, or mitotic catastrophe, and eventually cell death. Mechanistically, Cdk1 does not localize at the centrosome in the absence of Survivin, pointing at this latter protein contributing to the activation of the mitotic kinase via Cdc25B. Furthermore, absence of Survivin leads to an inactive cytosolic Cdc25B-Cdk1-Cyclin B1 complex, which seems to indicate a role for Survivin in bridging this complex and its centrosomal activator/s. Interestingly, the drop in Cdc25B activity caused by interference with the Survivin’s function could be rescued when Survivin-depleted HeLa cell lysates were incubated with the recombinant Survivin protein. Also, a role for Survivin in the Cdc25B-mediated activation of Cdk1, and concomitant prophase to prometaphase transition could be confirmed by expression of a gain-of-function Cdc25B mutant, which overrode the G2/prophase blockage caused by Survivin depletion.
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  • 2025

    Synchrony has been proposed as a relevant phenomenon for investigating social neurophysiological and psychological processes, with inter-brain synchrony, in particular, presumed to facilitate the functional integration of multiple brains. However, the lack of an accepted definition and a cohesive theoretical corpus that allows hypothesis-based approaches, often combined with less robust empirical methods, might hinder progress in this field. To address this, we propose a definition of inter-brain synchrony and link various theoretical contributions to justify the existence of meaningful temporal alignment between different brain activities. Furthermore, we propose a set of methods aimed at minimizing bias in the collection of evidence supporting this neural mechanism. Our approach entails extracting instantaneous phase data from Hilbert-transformed EEG time series recorded from individuals under different experimental conditions that account for the synchrony’s confounding factors such as shared attention, cognitive, and motor dependencies. We then propose multiple data analysis strategies, including circular statistics combined with permutation testing, and mutual information. Finally, we present an example of a potential application within the context of cooperation in nuclear families. We believe that, by employing such methods consistently, the concept of inter brain synchrony is falsifiable. Whether this phenomenon is empirically supported or not, it will contribute to advancing our understanding of the social brain.


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    • Pub. Date : 2025
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