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  • Neuroinformatics
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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Vidal, Jérémie; Su, Sylvie; Cébron, David;

    Acoustic eigenmodes are often used to passively infer physical properties of the interiors of rotating planets and stars. Acoustic wave imaging has been also introduced in fluid dynamics. The experimental technique consists in observing and analysing the splitting in frequency of the acoustic modes, by solving an inverse problem. For instance, the presence of an (unknown) rotational profile disturbs the acoustic spectrum. Moreover, a topographic splitting is often superimposed on the rotational splitting. Indeed, rotating celestial objects are rather ellipsoidal than spherical at the leading order, as well as laboratory experiments which are weakly non-spherical (due to mechanical deformations). Rotation and topography should be taken into account simultaneously, but the acoustic problem does not admit exact solutions in the presence of rotation. Fully numerical solutions are often computed. However, they cannot be easily combined with inversion schemes to yield robust results. Hence, the usual approach is to consider small perturbations to non-rotating solutions. As an alternative, we present a new description of the compressible modes, relying on the method of weighted residuals. Here, we present a new spectral method to describe potential flows in triaxial ellipsoids. It relies on an explicit Galerkin expansion, made of global polynomials expressed in Cartesian coordinates. We illustrate this method by considering the canonical situation of diffusionless acoustic modes in an homogeneous, compressible and homentropic fluid ellipsoid at rest. The pressure satisfies a Dirichlet condition (sound soft boundary). We validate our results against fully numerical simulations performed with the commercial software comsol, showing a perfect quantitative agreement. This new method will be extended to include additional effects and alternative boundary conditions. Les modes acoustiques sont couramment utilisés pour déterminer les propriétés physiques de l'intérieur des planètes et des étoiles. La méthode d'imagerie par vélocimétrie acoustique a été récemment introduite en mécanique des fluides, en complément des méthodes d'imagerie existantes. Elle consiste à reconstruire l'écoulement à partir de la levée de dégénérescence des modes acoustiques, observée expérimentalement (par exemple) en présence d'un profil de rotation. Ainsi, des algorithmes d'inversion sont nécessaires pour reconstruire indirectement l'écoulement en rotation dans des expériences en géométrie quasi-sphérique. Cependant, les objets célestes et les expériences ne sont pas rigoureusement sphériques, mais plutôt ellipsoïdaux (au premier ordre). Les effets topographiques et la rotation doivent alors être pris en compte correctement dans le modèle physique. Les méthodes analytiques et numériques existantes (en géométrie déformée) ne peuvent plus alors être couplées facilement et efficacement aux algorithmes d'inversion. Pour remédier à ce problème, nous avons développé une nouvelle méthode de Galerkin semi-analytique en ellipsoïdes tri-axes. Elle repose sur une décomposition polynomiale explicite, en coordonnées cartésiennes, des écoulements potentiels en ellipsoïdes. Nous illustrons la méthode en considérant les modes acoustiques d'un fluide compressible, uniforme et homentropique, avec une condition de Dirichlet homogène à la paroi (condition isobare). Nous validons nos résultats avec des simulations numériques réalisées avec le logiciel comsol. Nous étendrons cette méthode novatrice afin de prendre en compte des effets physiques supplémentaires, afin de décrire plus précisément les conditions expérimentales.

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    Authors: J. B. Vielfaure; S. D. Vergani; J. Japelj; Johan P. U. Fynbo; +22 Authors

    Context. The identification of the sources that reionized the Universe and their specific contribution to this process are key missing pieces of our knowledge of the early Universe. Faint star-forming galaxies may be the main contributors to the ionizing photon budget during the epoch of reionization, but their escaping photons cannot be detected directly due to inter-galactic medium opacity. Hence, it is essential to characterize the properties of faint galaxies with significant Lyman continuum (LyC) photon leakage up to z ∼ 4 to define indirect indicators allowing analogs to be found at the highest redshift. Aims. Long gamma-ray bursts (LGRBs) typically explode in star-forming regions of faint, star-forming galaxies. Through LGRB afterglow spectroscopy it is possible to detect directly LyC photons. Our aim is to use LGRBs as tools to study LyC leakage from faint, star-forming galaxies at high redshift. Methods. Here we present the observations of LyC emission in the afterglow spectra of GRB 191004B at z = 3.5055, together with those of the other two previously known LyC-leaking LGRB host galaxies (GRB 050908 at z = 3.3467, and GRB 060607A at z = 3.0749), to determine their LyC escape fraction and compare their properties. Results. From the afterglow spectrum of GRB 191004B we determine a neutral hydrogen column density at the LGRB redshift of log(NH I/cm−2) = 17.2 ± 0.15, and negligible extinction (AV = 0.03 ± 0.02 mag). The only metal absorption lines detected are C IV and Si IV. In contrast to GRB 050908 and GRB 060607A, the host galaxy of GRB 191004B displays significant Lyman-alpha (Lyα) emission. From its Lyα emission and the non-detection of Balmer emission lines we constrain its star-formation rate (SFR) to 1 ≤ SFR ≤ 4.7 M⊙ yr−1. We fit the Lyα emission with a shell model and find parameters values consistent with the observed ones. The absolute (relative) LyC escape fractions we find for GRB 191004B, GRB 050908 and GRB 060607A are of 0.35−0.11+0.10 (0.43−0.13+0.12), 0.08−0.04+0.05 (0.08−0.04+0.05) and 0.20−0.05+0.05 (0.45−0.15+0.15), respectively. We compare the LyC escape fraction of LGRBs to the values of other LyC emitters found from the literature, showing that LGRB afterglows can be powerful tools to study LyC escape for faint high-redshift star-forming galaxies. Indeed we could push LyC leakage studies to much higher absolute magnitudes. The host galaxies of the three LGRBs presented here have all M1600 > −19.5 mag, with the GRB 060607A host at M1600 > −16 mag. LGRB hosts may therefore be particularly suitable for exploring the ionizing escape fraction in galaxies that are too faint or distant for conventional techniques. Furthermore, the time involved is minimal compared to galaxy studies. © J.-B. Vielfaure et al. 2020 This work is part of the BEaPro project (PI: S.D. Vergani) funded by the French Agence Nationale de la Recherche (ANR-16-CE31-0003). We thank Giancarlo Ghirlanda for providing useful information. JBV and SDV thank Anne Verhamme for useful discussions. SDV acknowledges financial support from the French Space Agency (CNES). MG was supported by NASA through the NASA Hubble Fellowship grant HST-HF2-51409 and acknowledges support from HST grants HST-GO-15643.017-A, HST-AR-15039.003-A, and XSEDE grant TG-AST180036. The Cosmic DAWN center is funded by the DNRF. JPUF thanks the Carlsberg foundation for support. DBM acknowledges support from VILLUM FONDEN research grant 19054. NRT acknowledges support from STFC via grant ST/N000757/1. DAK acknowledges support from Spanish research project RTI2018-098104-J-I00 (GRBPhot). The PanSTARRS1 Surveys (PS1) and the PS1 public science archive have been made possible through contributions by the Institute for Astronomy, the University of Hawaii, the Pan-STARRS Project O ffice, the Max-Planck Society and its participating institutes, the Max Planck Institute for Astronomy, Heidelberg and the Max Planck Institute for Extraterrestrial Physics, Garching, The Johns Hopkins University, Durham University, the University of Edinburgh, the Queen's University Belfast, the Harvard-Smithsonian Center for Astrophysics, the Las Cumbres Observatory Global Telescope Network Incorporated, the National Central University of Taiwan, the Space Telescope Science Institute, the National Aeronautics and Space Administration under Grant No. NNX08AR22G issued through the Planetary Science Division of the NASA Science Mission Directorate, the National Science Foundation Grant No. AST-1238877, the University of Maryland, Eotvos Lorand University (ELTE), the Los Alamos National Laboratory, and the Gordon and Betty Moore Foundation. This work has made use of data from the European Space Agency (ESA) mission Gaia (https://www.cosmos.esa.int/gaia), processed by the Gaia Data Processing and Analysis Consortium (DPAC, https://www.cosmos.esa.int/web/gaia/dpac/consortium).Funding for the DPAC has been provided by national institutions, in particular the institutions participating in the Gaia Multilateral Agreement. The NumPy (van der Walt et al. 2011), SciPy (Virtanen et al. 2020) and matplotlib (Hunter 2007) packages have been extensively used for the preparation and presentation of this work. Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Peer reviewed

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    Authors: M. Beccaria; G. P. Korchemsky; A. A. Tseytlin;

    We apply the localization technique to compute the free energy on four-sphere and the circular BPS Wilson loop in the four-dimensional $\cal N$=2 superconformal $Sp(2N)$ gauge theory containing vector multiplet coupled to four hypermultiplets in fundamental representation and one hypermultiplet in rank-2 antisymmetric representation. This theory is unique among similar $\cal N$=2 superconformal models that are planar-equivalent to $\cal N$=4 SYM in that the corresponding localization matrix model has the interaction potential containing single-trace terms only. We exploit this property to show that, to any order in large $N$ expansion and an arbitrary 't Hooft coupling $\lambda$, the free energy and the Wilson loop satisfy Toda lattice equations. Solving these equations at strong coupling, we find remarkably simple expressions for these observables which include all corrections in $1/N$ and $1/\sqrt{\lambda}$. We also compute the leading exponentially suppressed ${\cal O}(e^{-\sqrt{\lambda}})$ corrections and consider a generalization to the case when the fundamental hypermultiplets have a non-zero mass. The string theory dual of this $\cal N$=2 gauge theory should be a particular orientifold of AdS$_5 \times S^5$ type IIB string and we discuss the string theory interpretation of the obtained strong-coupling results. Comment: 41 pages. v2: minor correction; v3: eqs.(2.41) and (2.43) corrected

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    Journal of High Energy Physics
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      Journal of High Energy Physics
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    Authors: Katrina L. Grasby*† and Neda Jahanshad*† et al.;

    The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson’s disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder

    image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/ ZENODOarrow_drop_down
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    ZENODO
    Article . 2020
    License: CC BY
    Data sources: ZENODO
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      ZENODO
      Article . 2020
      License: CC BY
      Data sources: ZENODO
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    Authors: Guiomar Niso; Rotem Botvinik-Nezer; Stefan Appelhoff; Alejandro De La Vega; +19 Authors

    G.N. was supported by the AXA Research Fund and by NIH CR-CNS: US-France Data Sharing Proposal (NIBIB (USA) R01 EB030896 and ANR-20-NEUC-0004-01). R.B-N. is an Awardee of the Weizmann Institute of Science -Israel National Postdoctoral Award Program for Advancing Women in Science. A.d.l.V was supported by NIH grant 5R01MH109682. O.E. was supported by the Swiss National Science Foundation (SNSF) Project 185872 and NIMH grant (RF1MH121867, O.E.). J.A.E was supported by NIH grant R37MH066078 to Todd S. Braver. K.F. was supported by the Polish National Agency for Academic Exchange (the Bekker programme; PPN/BEK/2020/1/00279/U/00001). M.G. was supported by the Elsass foundation (18-3-0147). Y.O.H. was supported by NIH grant 1P41EB019936-01A1. P.H. was supported in parts by funding from the Canada First Research Excellence Fund, awarded to McGill University for the Healthy Brains for Healthy Lives initiative, the National Institutes of Health (NIH) NIH-NIBIB P41 EB019936 ReproNim), the National Institute Of Mental Health of the NIH under Award Number R01MH096906, a research scholar award from Brain Canada, in partnership with Health Canada, for the Canadian Open Neuroscience Platform initiative, as well as an Excellence Scholarship from Unifying Neuroscience and Artificial Intelligence - Québec. A.K. was supported by the TransMedTech Institute Postdoc Fellowship. D.B.K. was supported by the National Institute of Mental Health under grant RF1 MH120021 (PI: Keator), and acknowledges the International Neuroinformatics Coordinating Facility (INCF). C.R.P. was supported by the Novo Nordisk Fonden NNF20OC0063277. F.P. is supported by NSF grants IIS 1636893, IIS 1912270, and BCS 1734853, NIH National Institute of Biomedical Imaging and Bioengineering (NIBIB) grant 1R01EB029272, NIH NIMH 1R01MH126699, and a Microsoft Investigator Fellowship. N.Q. acknowledges the NIDM-Terms grant (National Institutes of Mental Health (NIMH) grant 1RF1MH120021 PI: David B Keator). K.J.W. was supported by The UKRI Strategic Priorities Fund under EPSRC Grant EP/T001569/1, particularly the "Tools, Practices and Systems" theme within that grant, and by The Alan Turing Institute under the EPSRC grant EP/N510129/1. J.W.R. was supported by the DFG Device Center Grant INST 184/216-1 “Tools and infrastructure for open and reproducible neuroimaging”, and the DFG grant 390895286 of the Excellence Strategy (EXC 2177/1, Hearing4All). Empirical observations of how labs conduct research indicate that the adoption rate of open practices for transparent, reproducible, and collaborative science remains in its infancy. This is at odds with the overwhelming evidence for the necessity of these practices and their benefits for individual researchers, scientific progress, and society in general. To date, information required for implementing open science practices throughout the different steps of a research project is scattered among many different sources. Even experienced researchers in the topic find it hard to navigate the ecosystem of tools and to make sustainable choices. Here, we provide an integrated overview of community-developed resources that can support collaborative, open, reproducible, replicable, robust and generalizable neuroimaging throughout the entire research cycle from inception to publication and across different neuroimaging modalities. We review tools and practices supporting study inception and planning, data acquisition, research data management, data processing and analysis, and research dissemination. An online version of this resource can be found at https://oreoni.github.io. We believe it will prove helpful for researchers and institutions to make a successful and sustainable move towards open and reproducible science and to eventually take an active role in its future development.

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    Serveur académique lausannois
    Review . 2022
    License: CC BY NC ND
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    https://doi.org/10.31219/osf.i...
    Preprint . 2022
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    NeuroImage
    Article . 2022
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    HAL-Inserm; NeuroImage
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      Review . 2022
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      https://doi.org/10.31219/osf.i...
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      NeuroImage
      Article . 2022
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      Article . 2022
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      PolyPublie
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      HAL-Inserm; NeuroImage
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    Authors: Debret, Baptiste; Ménez, Bénédicte; Walter, Bastien; Bouquerel, Hélène; +5 Authors

    Recent thermodynamic and experimental studies have suggested that volatile organic compounds (e.g., methane, formate, and acetate) can be produced and stabilized in subduction zones, potentially playing an important role in the deep carbon cycle. However, field evidence for the high-pressure production and storage of solid organic compounds is missing. Here, we examine forearc serpentinite clasts recovered by drilling mud volcanoes above the Mariana subduction zone. Notable correlations between carbon and iron stable-isotope signatures and fluid-mobile element (B, As and Sb) concentrations provide evidence for the percolation of slab-derived CO 2 -rich aqueous fluids through the forearc mantle. The presence of carbonaceous matter rich in aliphatic moieties within high-temperature clasts (>350°C) demonstrates that molecular hydrogen production associated with forearc serpentinization is an efficient mechanism for the reduction and conversion of slab-derived CO 2 -rich fluids into solid organic compounds. These findings emphasize the need to consider the forearc mantle as an important reservoir of organic carbon on Earth.

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    Science Advances
    Article . 2022 . Peer-reviewed
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    Apollo
    Article . 2022
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    Science Advances
    Article . 2022
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      Apollo
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      Article . 2022
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    Authors: Haiyan Wang; Lingzhong Fan; Ming Song; Bing Liu; +28 Authors

    AbstractDerailment of inhibitory control (IC) underlies numerous psychiatric and behavioral disorders, many of which emerge during adolescence. Identifying reliable predictive biomarkers that place the adolescents at elevated risk for future IC deficits can help guide early interventions, yet the scarcity of longitudinal research has hindered the progress. Here, using a large-scale longitudinal dataset in which the same subjects performed a stop signal task during functional magnetic resonance imaging at ages 14 and 19, we tracked their IC development individually and tried to find the brain features predicting their development by constructing prediction models using 14-year-olds’ functional connections within a network or between a pair of networks. The participants had distinct between-subject trajectories in their IC development. Of the candidate connections used for prediction, ventral attention-subcortical network interconnections could predict the individual development of IC and formed a prediction model that generalized to previously unseen individuals. Furthermore, we found that connectivity between these two networks was related to substance abuse problems, an IC-deficit related problematic behavior, within 5 years. Our study reveals individual differences in IC development from mid- to late-adolescence and highlights the importance of ventral attention-subcortical network interconnections in predicting future IC development and substance abuse in adolescents.

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    Cerebral Cortex
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    Europe PubMed Central
    Other literature type . 2020
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    Cerebral Cortex
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      Europe PubMed Central
      Other literature type . 2020
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      Cerebral Cortex
      Article . 2020 . Peer-reviewed
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    Authors: Blundell, I.; Brette, R.; Cleland, T.A.; Close, T.G.; +25 Authors

    Frontiers in neuroinformatics 12, 68 (2018). doi:10.3389/fninf.2018.00068 Published by Frontiers Research Foundation, Lausanne

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    Frontiers in Neuroinformatics
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    Article . 2018
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      Frontiers in Neuroinformatics
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    Authors: Yingkai Ouyang; Nathan Shettell; Damian Markham;

    Quantum metrology is a promising practical use case for quantum technologies, where physical quantities can be measured with unprecedented precision. In lieu of quantum error correction procedures, near term quantum devices are expected to be noisy, and we have to make do with noisy probe states. We prove that, for a set of carefully chosen symmetric probe states that lie within certain quantum error correction codes, quantum metrology exhibits an advantage over classical metrology even after the probe states are corrupted by a constant number of erasure and dephasing errors. These probe states prove useful for robust metrology not only in the NISQ regime, but also in the asymptotic setting where they achieve Heisenberg scaling. This brings us closer towards making robust quantum metrology a technological reality. Comment: 12 pages, 2 figures

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    IEEE Transactions on Information Theory
    Article . 2022 . Peer-reviewed
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    https://doi.org/10.48550/arxiv...
    Article . 2019
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      IEEE Transactions on Information Theory
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    Authors: Ruan, Hongtao; Zhou, Yunyi; Luo, Qiang; Robert, Gabriel H.; +26 Authors

    Adolescent binge drinking has been associated with higher risks for the development of many health problems throughout the lifespan. Adolescents undergo multiple changes that involve the co-development processes of brain, personality and behavior; therefore, certain behavior, such as alcohol consumption, can have disruptive effects on both brain development and personality maturation. However, these effects remain unclear due to the scarcity of longitudinal studies. In the current study, we used multivariate approaches to explore discriminative features in brain functional architecture, personality traits, and genetic variants in 19-year-old individuals (n = 212). Taking advantage of a longitudinal design, we selected features that were more drastically altered in drinkers with an earlier onset of binge drinking. With the selected features, we trained a hierarchical model of support vector machines using a training sample (n = 139). Using an independent sample (n = 73), we tested the model and achieved a classification accuracy of 71.2%. We demonstrated longitudinally that after the onset of binge drinking the developmental trajectory of improvement in impulsivity slowed down. This study identified the disrupting effects of adolescent binge drinking on the developmental trajectories of both brain and personality. Highlights • History of binge drinking could be identified by multivariate features at age 19. • Adolescent binge drinking disrupted frontal connectivity maturation in the brain. • Impulsivity improvement slowed down after the onset of adolescent binge drinking.

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    Europe PubMed Central
    Article . 2019
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    NeuroImage: Clinical
    Article . 2019
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    Other literature type . Article . 2019 . Peer-reviewed
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