Single-Star Warm-Jupiter Systems Tend to Be Aligned, Even Around Hot Stellar Hosts: No $T_{rm eff}-λ$ Dependency

Posted by dbos MIT

Kavli Affiliate: George R. Ricker | First 5 Authors: Xian-Yu Wang, Malena Rice, Songhu Wang, Shubham Kanodia, Fei Dai | Summary: The stellar obliquity distribution of warm-Jupiter systems is crucial for constraining the dynamical history of Jovian exoplanets, as the warm Jupiters’ tidal detachment likely preserves their primordial obliquity. However, the sample size of warm-Jupiter […]


Continue.. Single-Star Warm-Jupiter Systems Tend to Be Aligned, Even Around Hot Stellar Hosts: No $T_{rm eff}-λ$ Dependency

CellCover Captures Neural Stem Cell Progression in Mammalian Neocortical Development

Posted by dbos Hopkins

Kavli Affiliate: Jean Fan and Laurent Younes | Authors: Lanlan Ji, An Wang, Shreyash Sonthalia, Daniel Q Naiman, Laurent Younes, Carlo Colantuoni and Donald Geman | Summary: Summary: Definition of cell classes across the tissues of living organisms is central in the analysis of growing atlases of single-cell RNA sequencing (scRNA-seq) data across biomedicine. Marker […]


Continue.. CellCover Captures Neural Stem Cell Progression in Mammalian Neocortical Development

Fine-Grained Building Function Recognition from Street-View Images via Geometry-Aware Semi-Supervised Learning

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Weijia Li, Jinhua Yu, Dairong Chen, Yi Lin, Runmin Dong | Summary: In this work, we propose a geometry-aware semi-supervised framework for fine-grained building function recognition, utilizing geometric relationships among multi-source data to enhance pseudo-label accuracy in semi-supervised learning, broadening its applicability to various building function categorization […]


Continue.. Fine-Grained Building Function Recognition from Street-View Images via Geometry-Aware Semi-Supervised Learning

Fine-Grained Building Function Recognition from Street-View Images via Geometry-Aware Semi-Supervised Learning

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Weijia Li, Jinhua Yu, Dairong Chen, Yi Lin, Runmin Dong | Summary: In this work, we propose a geometry-aware semi-supervised method for fine-grained building function recognition. This method leverages the geometric relationships between multi-source data to improve the accuracy of pseudo labels in semi-supervised learning, extending the […]


Continue.. Fine-Grained Building Function Recognition from Street-View Images via Geometry-Aware Semi-Supervised Learning

Fine-Grained Building Function Recognition from Street-View Images via Geometry-Aware Semi-Supervised Learning

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Weijia Li, Jinhua Yu, Dairong Chen, Yi Lin, Runming Dong | Summary: In this work, we propose a geometry-aware semi-supervised method for fine-grained building function recognition. This method leverages the geometric relationships between multi-source data to improve the accuracy of pseudo labels in semi-supervised learning, extending the […]


Continue.. Fine-Grained Building Function Recognition from Street-View Images via Geometry-Aware Semi-Supervised Learning

Ultrafast creation of a light induced semimetallic state in strongly excited 1T-TiSe$_2$

Posted by dbos Berkeley

Kavli Affiliate: Alessandra Lanzara | First 5 Authors: Maximilian Huber, Yi Lin, Giovanni Marini, Luca Moreschini, Chris Jozwiak | Summary: Screening, a ubiquitous phenomenon associated with the shielding of electric fields by surrounding charges, has been widely adopted as a means to modify a material’s properties. While so far most studies have relied on static […]


Continue.. Ultrafast creation of a light induced semimetallic state in strongly excited 1T-TiSe$_2$

scatterbar: an R package for visualizing proportional data across spatially resolved coordinates

Posted by dbos Hopkins

Kavli Affiliate: Jean Fan | Authors: Dee Velazquez and Jean Fan | Summary: Summary: Displaying proportional data across many spatially resolved coordinates is a challenging but important data visualization task, particularly for spatially resolved transcriptomics data. Scatter pie plots are one type of commonly used data visualization for such data but present perceptual challenges that […]


Continue.. scatterbar: an R package for visualizing proportional data across spatially resolved coordinates

Exact Statistics of Helical Wormlike Chains with Twist-Bend Coupling

Posted by dbos Berkeley

Kavli Affiliate: David T. Limmer | First 5 Authors: Ashesh Ghosh, Kranthi K. Mandadapu, David T. Limmer, , | Summary: We present a solution for the Green’s function for the general case of a helical wormlike chain with twist-bend coupling, and demonstrate the applicability of our solution for evaluating general structural and mechanical chain properties. […]


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