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)

Subjects:

Co-simulation architecture. by Honglei Pang (22693724)

Subjects:

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

Subjects:

Braking system model. by Honglei Pang (22693724)

Subjects:

Vehicle parameters. by Honglei Pang (22693724)

Subjects:

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)

Subjects:

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

Subjects:

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)

Subjects:

Circadian phase waves supported by mouse SCNs and their phase disintegration in the presence of TTX. by Hyun Kim (127301)

“…<p>(a) A 2D circadian phase map. The SCN circadian waves propagate typically from the shell (DM region) to the core (VL region) (see <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010213#pcbi.1010213.s007" target="_blank">S1 Movie</a>): The direction of each white arrowhead depicts the average instantaneous direction of phase wave propagation. …”

Multinode Multi-GPU Two-Electron Integrals: Code Generation Using the Regent Language by K. Grace Johnson (9040330)

Subjects:

Estimated parameter values of the global functions f(t), g(t) and h(t) based on data of Kansas City (KC), Saint Louis (SL), San Francisco (SF), Missouri (MO), Illinois (IL), and Ar... by Hadeel AlQadi (12378372)

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)

Subjects:

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. …”

Multiresolution Spectro-Temporal Sound Analysis (MRSTSA) algorithm. by Dario Dematties (6812390)

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.…”

dPCA applied to neural population activity during SCT. by Jorge Gámez (6565157)

“…</b> Variability of the distance between the 450-ms and each target interval for the PCA (orange) and dPCA (magenta). The variability increased monotonically as a function of the target interval for both analyses. …”

Discovery of Protein Modifications Using Differential Tandem Mass Spectrometry Proteomics by Paolo Cifani (1575613)

“…Termed SAMPEI for spectral alignment-based modified peptide identification, this open-source algorithm is designed for the discovery of functional protein and peptide signaling modifications, without prior knowledge of their identities. …”

Discovery of Protein Modifications Using Differential Tandem Mass Spectrometry Proteomics by Paolo Cifani (1575613)

“…Termed SAMPEI for spectral alignment-based modified peptide identification, this open-source algorithm is designed for the discovery of functional protein and peptide signaling modifications, without prior knowledge of their identities. …”

Workflow of the BOMS algorithm. by Ocima Kamboj (21533199)

Image of the ReLU function. by Mengqi Yuan (4852555)