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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Network propagation improves the correlation between mRNA and protein levels of ageing tissues (brain and liver) and PCa samples. by Konstantina Charmpi (9901053)

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TIMP1 gene was highly expressed in LUAD tissues and regulated malignant cell- Treg interactions. by Yanfeng Xue (465345)

GO enrichment for all methods and tissues. by Diogo Melo (3289926)

“…Using RNAseq gene expression data measured in two tissues derived from an outbred population of Drosophila melanogaster, we show that (a) the SBM is able to find ten times as many groups as competing methods, that (b) several of those gene groups are not modular, and that (c) the functional enrichment for non-modular groups is as strong as for modular communities. …”

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

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Comparative analysis of spatial architectures and cellular proportions in Lung, Breast, and Intestinal tissues recovered by different mapping tools. by Huamei Li (8815955)

Subjects: “…minimizing assignment algorithm…”

Characterization of cell distribution in mouse kidney and renal cell carcinoma (RCC) tissues using Cell2Spatial. by Huamei Li (8815955)

Subjects: “…minimizing assignment algorithm…”

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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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. …”

Analyses of Immune microenvironment and functions between m7G clusters. by Jiangli Zhao (2308330)

Inflammatory cell ODE parameter iterations after tuning using the genetic algorithm (GA) and manual adjustment. by Amanda M. Westman (10777800)

Python code for a rule-based NLP model for mapping circular economy indicators to SDGs by Zahir Barahmand (18008947)

“…The package includes:</p><ul><li>The complete Python codebase implementing the classification algorithm</li><li>A detailed manual outlining model features, requirements, and usage instructions</li><li>Sample input CSV files and corresponding processed output files to demonstrate functionality</li><li>Keyword dictionaries for all 17 SDGs, distinguishing strong and weak matches</li></ul><p dir="ltr">These materials enable full reproducibility of the study, facilitate adaptation for related research, and offer transparency in the methodological framework.…”

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

Table1_Multiobjective optimization algorithm for accurate MADYMO reconstruction of vehicle-pedestrian accidents.DOCX by Donghua Zou (290402)

Genomic and transcriptomic analysis of laser dissected tissue samples. by Tao Chen (75911)