Examples of ground-truth graph structures with (<i>p</i>, <i>n</i>_≠0) = (10, 10). by Tomokaze Shiratori (9635271)

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Number of edges selected through cross-validation on the chain graph dataset. by Tomokaze Shiratori (9635271)

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Number of edges selected through cross-validation on the random graph dataset. by Tomokaze Shiratori (9635271)

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Graphs of the regularization terms. by Tomokaze Shiratori (9635271)

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F1 score of a given number of selected edges on the chain graph dataset. by Tomokaze Shiratori (9635271)

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Computation time as a function of the number of variables on the chain graph dataset. by Tomokaze Shiratori (9635271)

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Computation time as a function of the number of variables on the random graph dataset. by Tomokaze Shiratori (9635271)

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F1 score of a given number of selected edges on the random graph dataset. by Tomokaze Shiratori (9635271)

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F1 score of edges selected through cross-validation on the random graph dataset. by Tomokaze Shiratori (9635271)

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A Novel Multi-Speed Uniform Propagation Lattice Boltzmann Method Based on the Callaway Model for Unified Phonon Heat Transport by Songcheng Li (21267944)

The overview of GAM. by Yuanhong Dan (20570631)

Digitally Assisted Single-Particle Tracking for Accurate Analysis of Complicated Cargo Transport Dynamics in Microtubule Networks by Xiaodong Cheng (8947)

“…By integrating intensity measurements with advanced digital classification algorithms to process defocused half-plane image patterns captured through bifocal parallax microscopy, this approach extends the angular resolution range from the conventional method to a full 0–360° range, even in heterogeneous cellular environments, while maintaining high spatial and temporal resolutions. …”

Digitally Assisted Single-Particle Tracking for Accurate Analysis of Complicated Cargo Transport Dynamics in Microtubule Networks by Xiaodong Cheng (8947)

“…By integrating intensity measurements with advanced digital classification algorithms to process defocused half-plane image patterns captured through bifocal parallax microscopy, this approach extends the angular resolution range from the conventional method to a full 0–360° range, even in heterogeneous cellular environments, while maintaining high spatial and temporal resolutions. …”

Communication-Efficient Distributed Estimation and Inference for Cox’s Model by Pierre Bayle (21567081)

“…<p>Motivated by multi-center biomedical studies that cannot share individual data due to privacy and ownership concerns, we develop communication-efficient iterative distributed algorithms for estimation and inference in the high-dimensional sparse Cox proportional hazards model. …”

Machine Learning-Assisted Accelerated Research of Energy Storage Properties of BaTiO₃–BiMeO₃ Ceramics by Jian Liu (33711)

“…After that, multiple machine learning algorithm models were built to train and predict <i>W</i>_rec and η. …”

Pearson correlation for the DiSCo experiments: by Thomas Durantel (20933812)

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On the left, Dice score result for the HCP experiment. by Thomas Durantel (20933812)

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Visual comparison of the resulting tractograms. From top to bottom line: iFOD2, PTT, iFOD2 with prior, PTT with prior, iFOD2 with BST priors and PTT with BST priors. by Thomas Durantel (20933812)

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Overall method pipeline. by Thomas Durantel (20933812)

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Examples of combination of the data and the prior. by Thomas Durantel (20933812)

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