Estimating the number of COVID-19 cases being introduced into UK Higher Education Institutions during Autumn 2020

Othe

Importance of untested infectious individuals for interventions to suppress COVID-19

Acknowledgements We acknowledge fruitful discussions with Oliver Carrillo, Bruno Lopes, Christopher McGuigan, Veronica Morales, Stefano Polizzi, Ovidiu Rotariu, John Strachan and Eduard Vives.Peer reviewedPublisher PD

Effects of variable-state neighborhoods for spreading synergystic processes on lattices

Peer reviewedPublisher PD

Modelling fungal colonies and communities:challenges and opportunities

This contribution, based on a Special Interest Group session held during IMC9, focuses on physiological based models of filamentous fungal colony growth and interactions. Fungi are known to be an important component of ecosystems, in terms of colony dynamics and interactions within and between trophic levels. We outline some of the essential components necessary to develop a fungal ecology: a mechanistic model of fungal colony growth and interactions, where observed behaviour can be linked to underlying function; a model of how fungi can cooperate at larger scales; and novel techniques for both exploring quantitatively the scales at which fungi operate; and addressing the computational challenges arising from this highly detailed quantification. We also propose a novel application area for fungi which may provide alternate routes for supporting scientific study of colony behaviour. This synthesis offers new potential to explore fungal community dynamics and the impact on ecosystem functioning

Power-law and log-normal avalanche size statistics in random growth processes

ACKNOWLEDGMENTS We thank J.P. Bouchaud for constructive comments. We acknowledge financial support from the Agence Nationale de la Recherche (ANR grant number ANR-18- CE45-0012-01) and from the French Research Ministry (MESR) (contract No. 2017-SG-D-09) and from ENS Lyon for SP PhD funding. FJPR acknowledges financial support from the Carnegie Trust.Peer reviewedPostprin

Origin of scale-free intermittency in structural first-order phase transitions

Acknowledgments FJPR acknowledges the financial support from the Carnegie Trust. LT acknowledges the financial support from the french ANR grant EVOCRIT.Peer reviewedPostprin

Immunization and Targeted Destruction of Networks using Explosive Percolation

7 pages, 6 figures The authors acknowledge financial support from the Leverhulme Trust (Grant No. VP2-2014-043) and from Horizon2020 (Grant No. 642563 - COSMOS).Peer reviewedPreprintPublisher PD

Reverse engineering of biochar

This study underpins quantitative relationships that account for the combined effects that starting biomass and peak pyrolysis temperature have on physico-chemical properties of biochar. Meta-data was assembled from published data of diverse biochar samples (n = 102) to (i) obtain networks of intercorrelated properties and (ii) derive models that predict biochar properties. Assembled correlation networks provide a qualitative overview of the combinations of biochar properties likely to occur in a sample. Generalized Linear Models are constructed to account for situations of varying complexity, including: dependence of biochar properties on single or multiple predictor variables, where dependence on multiple variables can have additive and/or interactive effects; non-linear relation between the response and predictors; and non-Gaussian data distributions. The web-tool Biochar Engineering implements the derived models to maximize their utility and distribution. Provided examples illustrate the practical use of the networks, models and web-tool to engineer biochars with prescribed properties desirable for hypothetical scenarios