115 research outputs found

    Tuning spreading and avalanche-size exponents in directed percolation with modified activation probabilities

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    We consider the directed percolation process as a prototype of systems displaying a nonequilibrium phase transition into an absorbing state. The model is in a critical state when the activation probability is adjusted at some precise value p_c. Criticality is lost as soon as the probability to activate sites at the first attempt, p1, is changed. We show here that criticality can be restored by "compensating" the change in p1 by an appropriate change of the second time activation probability p2 in the opposite direction. At compensation, we observe that the bulk exponents of the process coincide with those of the normal directed percolation process. However, the spreading exponents are changed, and take values that depend continuously on the pair (p1, p2). We interpret this situation by acknowledging that the model with modified initial probabilities has an infinite number of absorbing states.Comment: 9 pages, 11 figure

    SE(3)-equivariant Graph Neural Networks for Learning Glassy Liquids Representations

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    Within the glassy liquids community, the use of Machine Learning (ML) to model particles' static structure in order to predict their future dynamics is currently a hot topic. The actual state of the art consists in Graph Neural Networks (GNNs) (Bapst 2020) which, beside having a great expressive power, are heavy models with numerous parameters and lack interpretability. Inspired by recent advances (Thomas 2018), we build a GNN that learns a robust representation of the glass' static structure by constraining it to preserve the roto-translation (SE(3)) equivariance. We show that this constraint not only significantly improves the predictive power but also allows to reduce the number of parameters while improving the interpretability. Furthermore, we relate our learned equivariant features to well-known invariant expert features, which are easily expressible with a single layer of our network.Comment: 8 pages, 7 figures plus appendi

    Les mĂ©tiers de la territorialisation du street art : de l’intermĂ©diation Ă  la valorisation

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    Introduction Le street art s’inscrit dans des configurations territoriales multiples, impliquant un grand nombre d’acteurs, au-delĂ  des seuls artistes, faisant le lien avec les collectivitĂ©s commanditaires et prescriptives, et/ou les publics du street art, des habitants aux visiteurs et touristes. Ces acteurs proviennent d’institutions, d’associations variĂ©es, ancrĂ©es localement ou intervenant en intermĂ©diaires sur des territoires multiples. Comment ces diffĂ©rentes provenances jouent sur les ..

    Roadmap on machine learning glassy liquids

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    Unraveling the connections between microscopic structure, emergent physical properties, and slow dynamics has long been a challenge in the field of the glass transition. The absence of clear visible structural order in amorphous configurations complicates the identification of the key features related to structural relaxation and transport properties. The difficulty in sampling equilibrated configurations at low temperatures hampers thorough numerical and theoretical investigations. This roadmap article explores the potential of machine learning (ML) techniques to face these challenges, building on the algorithms that have revolutionized computer vision and image recognition. We present successful ML applications, as well as many open problems for the future, such as transferability and interpretability of ML approaches. We highlight new ideas and directions in which ML could provide breakthroughs to better understand glassy liquids. To foster a collaborative community effort, the article introduces the "GlassBench" dataset, providing simulation data and benchmarks for both two-dimensional and three-dimensional glass-formers. Emphasizing the importance of benchmarks, we identify critical metrics for comparing the performance of emerging ML methodologies, in line with benchmarking practices in image and text recognition. The goal of this roadmap is to provide guidelines for the development of ML techniques in systems displaying slow dynamics, while inspiring new directions to improve our understanding of glassy liquids

    Do pĂșblico e do privado: uma perspectiva de gĂ©nero sobre uma dicotomia moderna

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    Neste texto propomos uma interpretação crĂ­tica da dicotomia histĂłrica entre pĂșblico e privado como dinĂąmica fundamental da modernidade. A partir de uma perspectiva de gĂ©nero, discutimos as fronteiras construĂ­das entre espaço coletivo de cidadania e de sociabilidade e espaço individual de intimidade e desigualdade. Argumentamos a favor de uma relação de cumplicidade, ainda que tensa, entre as duas esferas, observando que a vida privada foi, em grande medida, moldada pelas mudanças operadas na vida pĂșblica. Recorrendo a diferentes definiçÔes de "pĂșblico", notamos que, Ă  medida que as sociabilidades tradicionais, essencialmente masculinas, estudadas entre outros por AriĂšs ou Sennett, sofriam uma erosĂŁo, crescia o sentimento de intimidade, aumentando igualmente a inclusĂŁo do privado no pĂșblico atravĂ©s do alargamento da cidadania, em consequĂȘncia das lutas travadas na esfera pĂșblica por vĂĄrios movimentos de emancipação, como o operĂĄrio ou o feminista. À medida que a pessoa era retirada da comunidade, do clĂŁ, do grupo de parentesco, em que eram "naturais" as desigualdades, no sentido aristotĂ©lico do termo, ia-se reencontrando progressivamente como indivĂ­duo portador de cidadania. Se o espaço privado se tornou central na definição de uma identidade, ele Ă© tambĂ©m crescentemente atravessado por mecanismos pĂșblicos de regulação. Nesse sentido, o movimento de ascensĂŁo do privado, que nas Ășltimas dĂ©cadas tem ocupado espaço de debate, deve ser cuidadosamente reinterpretado

    Contribution of Maternal Antiretroviral Therapy and Breastfeeding to 24-Month Survival in Human Immunodeficiency Virus-Exposed Uninfected Children: An Individual Pooled Analysis of African and Asian Studies

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    Background: Increasing numbers of HIV-infected pregnant women receive antiretroviral therapy (ART) to prevent mother-to-child transmission (PMTCT). Studies suggested that HIV-exposed uninfected (HEU) children face higher mortality than HIV-unexposed children, but evidence mostly relates to the pre-ART era, breastfeeding of limited duration and considerable maternal mortality. Maternal ART and prolonged breastfeeding under cover of ART may improve survival, although this has not been reliably quantified. Methods: Individual data on 19,219 HEU children from 21 PMTCT trials/cohorts undertaken 1995-2015 in Africa and Asia were pooled and the association between 24-month mortality and maternal/infant factors quantified using random-effects Cox proportional hazards models accounting for between-study heterogeneity. Adjusted attributable fractions of risks computed using the predict function in the R package "frailtypack" estimate the relative contribution of risk factors to overall mortality in HEU children. Results: Cumulative incidence of death was 5.5% (95%CI: 5.1-5.9) by age 24 months. Low birth weight (LBW<2500g, adjusted Hazard Ratio (aHR: 2.9), no breastfeeding (aHR: 2.5) and maternal death (aHR: 11.1) were significantly associated with increased mortality. Maternal ART (aHR: 0.5) was significantly associated with lower mortality. At population level, LBW accounted for 16.2% of child deaths by 24 months, never breastfeeding for 10.8%, mother not receiving ART for 45.6%, and maternal death for 4.3%; these factors combined explained 63.6% of deaths by age 24 months. Conclusion: Survival of HEU children could be substantially improved if public health strategies provided all mothers living with HIV with ART and supported optimal infant feeding and care for LBW neonates
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