HIL test results of low-adhesion road: (a)Vehicle velocity; (b) Braking distance; (c) Lateral displacement; (d) Lateral acceleration; (e)Vehicle sideslip angle; (f) Yaw rate. by Honglei Pang (22693724)

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Co-simulation architecture. by Honglei Pang (22693724)

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Overall framework diagram of the study. by Honglei Pang (22693724)

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Braking system model. by Honglei Pang (22693724)

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Vehicle parameters. by Honglei Pang (22693724)

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HIL test results of curved road: (a)Vehicle velocity; (b) Braking distance; (c) Lateral displacement; (d) Lateral acceleration; (e)Vehicle sideslip angle; (f) Yaw rate. by Honglei Pang (22693724)

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Comparison of average reward values in various simulation scenarios. by Honglei Pang (22693724)

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HIL test results of split-μ road: (a)Vehicle velocity; (b) Braking distance; (c) Lateral displacement; (d) Lateral acceleration; (e)Vehicle sideslip angle; (f) Yaw rate. by Honglei Pang (22693724)

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Immune microenvironment (A) Comparison of immune cell infiltration between the high-risk and low-risk groups using the ssGSEA algorithm. by Chengting Wu (21485612)

Differential analysis between the high- and low-risk score groups and functional analyses of DEGs. by Jian Wen (286688)

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Basic types of LabVIEW scripting functions used for the purpose of automated code generation. by Pavel Kodytek (10140509)

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Fluctuation of the objective function of our mathematical model with respect to shifts in one input signal of a data sample. by Sebastian Sager (16205)

Overall accuracy of the neural network for the identification of high-risk COVID-19 patients, at the first clinical stage, as a function of (a) the number of neurons in the hidden... by Mario A. Quiroz-Juárez (11457140)

Results from the performance-based assessments of hand function for PALS and the age/sex matched healthy subgroup. by Conor D. Hayden (20855587)

Highly interrelated genes and their biological functions among 21 cancers. by Qunlun Shen (11668968)

Machine Learning-Aided Structure Determination for TiCl₄–Capped MgCl₂ Nanoplate of Heterogeneous Ziegler–Natta Catalyst by Gentoku Takasao (6382694)

“…Here, we report nonempirical structure determination of TiCl₄-capped MgCl₂ nanoplates that is based on the combination of a genetic algorithm and density functional calculations. …”

PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. by Gursimran Singh (575288)

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Filled contour plot based on histograms of the occurence-frequency of binned values of and as a function of . by Paul Kinsler (3975620)

BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data by Jean-Christophe Lachance (6619307)

“…Despite its importance, no standardized computational platform is currently available to generate species-specific biomass objective functions in a data-driven, unbiased fashion. To fill this gap in the metabolic modeling software ecosystem, we implemented BOFdat, a Python package for the definition of a <b>B</b>iomass <b>O</b>bjective <b>F</b>unction from experimental <b>dat</b>a. …”

Comparison of different activation function with NGNDG-AF. by Ali Raza (3558965)

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