Total concentration of Burmese python eDNA at colony (dark grey bars) and control (light grey bars) pairs with 95% confidence intervals. by Sophia C. M. Orzechowski (6577349)

Python file of the computational framework. by Benoit Haut (9753029)

Hardware parameters of optimal implementations. by Xuzhen He (14676114)

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Locality of reference in optimal implementations. by Xuzhen He (14676114)

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Implementation of the 1D heat model with array programming. by Xuzhen He (14676114)

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Median modelled age-standardised rate (ASR) of cervical cancer incidence in 2020 across 20 simulations (blue bars) and 90% range (black bars). by Robyn M. Stuart (3754000)

Melting temperature for copper and nickel, using all OpenKIM interatomic models (bars) compared to experimental results (dashed lines). by Martin Hunt (188686)

Python code for ray-tracing through Cartesian surfaces by Alberto Silva (8373543)

Comparative analysis of WN and PM methodologies: Figure (a) displays the bar chart comparing WN and PM across five distinct concept sets (Methods), highlighting the number of conce... by Enock Niyonkuru (21246879)

a)Growth rate, b) peak percentage prevalence, c) cumulative percentage prevalence, d) percentage of households with at least one case during the simulation period as a function of... by Joe Hilton (7003265)

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Peak and b) cumulative prevalence among the clinically vulnerable population as a percentage of the baseline values when (OOHI) is not implemented, and c) peak and d) cumulative pr... by Joe Hilton (7003265)

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a)Growth rate, b) peak percentage prevalence, c) cumulative percentage prevalence, d) percentage of households with at least one case during the simulation period as a function of... by Joe Hilton (7003265)

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Expected secondary attack ratios by size. by Joe Hilton (7003265)

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Fig 5 - by Joe Hilton (7003265)

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Parameter notation, choices, and sources for the age- and household structured infection model. by Joe Hilton (7003265)

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Estimated age cohort populations and numbers shielding from ONS data [52, 54], estimated age distribution of shielding population, and proportion of each age group shielding. by Joe Hilton (7003265)

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Convergence of model from initial conditions to exponential growth regime. by Joe Hilton (7003265)

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Fig 6 - by Joe Hilton (7003265)

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Estimated susceptible-infectious transmission probability by household size from House <i>et al.</i> [30]. by Joe Hilton (7003265)

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GraSPy: an Open Source Python Package for Statistical Connectomics by Benjamin Pedigo (6580352)

“…We developed GraSPy, an open-source Python toolkit for statistical inference on graphs. …”