The format of the electrode csv file حسب Joseph James Tharayil (21416715)

"…To enable efficient calculation of extracellular signals from large neural network simulations, we have developed <i>BlueRecording</i>, a pipeline consisting of standalone Python code, along with extensions to the Neurodamus simulation control application, the CoreNEURON computation engine, and the SONATA data format, to permit online calculation of such signals. …"

The format of the simulation reports حسب Joseph James Tharayil (21416715)

"…To enable efficient calculation of extracellular signals from large neural network simulations, we have developed <i>BlueRecording</i>, a pipeline consisting of standalone Python code, along with extensions to the Neurodamus simulation control application, the CoreNEURON computation engine, and the SONATA data format, to permit online calculation of such signals. …"

The format of the weights file حسب Joseph James Tharayil (21416715)

"…To enable efficient calculation of extracellular signals from large neural network simulations, we have developed <i>BlueRecording</i>, a pipeline consisting of standalone Python code, along with extensions to the Neurodamus simulation control application, the CoreNEURON computation engine, and the SONATA data format, to permit online calculation of such signals. …"

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... حسب 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... حسب 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... حسب Joe Hilton (7003265)

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

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Fig 5 - حسب Joe Hilton (7003265)

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

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

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Fig 6 - حسب Joe Hilton (7003265)

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

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Performance metrics for ProSmith and previously published methods for DTA prediction on the random split of the Davis dataset. حسب Alexander Kroll (9304225)

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ProSmith outperforms the ESP model in the prediction of enzyme-substrate pairs especially for molecules with limited representation in the test data. حسب Alexander Kroll (9304225)

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Performance metrics for all three trained gradient boosting models with different input vectors and for their combined weighted mean prediction. حسب Alexander Kroll (9304225)

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The optimal ProSmith models combine predictions based on the multimodal Transformer Network with predictions based on separate numerical representations of proteins and small molec... حسب Alexander Kroll (9304225)

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Performance metrics for ProSmith and previously published methods for DTA prediction for different splitting scenarios. حسب Alexander Kroll (9304225)

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For accurate DTA predictions, ProSmith requires training on identical drugs but not on similar proteins. حسب Alexander Kroll (9304225)

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Replacing the final prediction layer of end-to-end trained Transformer Networks with gradient boosting models improves performance. حسب Alexander Kroll (9304225)

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