Probing the Galactic halo with RR Lyrae stars — IV. On the Oosterhoff dichotomy of RR Lyrae stars

Kavli Affiliate: Huawei Zhang | First 5 Authors: Shan Zhang, Gaochao Liu, Yang Huang, Zongfei Lv, Sarah Ann Bird | Summary: We use 3653 (2661 RRab, 992 RRc) RR Lyrae stars (RRLs) with 7D (3D position, 3D velocity, and metallicity) information selected from SDSS, LAMOST, and Gaia EDR3, and divide the sample into two Oosterhoff […]


Continue.. Probing the Galactic halo with RR Lyrae stars — IV. On the Oosterhoff dichotomy of RR Lyrae stars

BASS XXXIV: A Catalog of the Nuclear Mm-wave Continuum Emission Properties of AGNs Constrained on Scales $lesssim$ 100–200 pc

Kavli Affiliate: Claudio Ricci | First 5 Authors: Taiki Kawamuro, Claudio Ricci, Richard F. Mushotzky, Masatoshi Imanishi, Franz E. Bauer | Summary: We present a catalog of the millimeter-wave (mm-wave) continuum properties of 98 nearby ($z <$ 0.05) active galactic nuclei (AGNs) selected from the 70-month Swift/BAT hard X-ray catalog that have precisely determined X-ray […]


Continue.. BASS XXXIV: A Catalog of the Nuclear Mm-wave Continuum Emission Properties of AGNs Constrained on Scales $lesssim$ 100–200 pc

MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization

Kavli Affiliate: Ke Wang | First 5 Authors: Ke Wang, Zanting Ye, Xiang Xie, Haidong Cui, Tao Chen | Summary: Accurate segmentation of clustered microcalcifications in mammography is crucial for the diagnosis and treatment of breast cancer. Despite exhibiting expert-level accuracy, recent deep learning advancements in medical image segmentation provide insufficient contribution to practical applications, […]


Continue.. MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization

MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization

Kavli Affiliate: Ke Wang | First 5 Authors: Ke Wang, Zanting Ye, Xiang Xie, Haidong Cui, Tao Chen | Summary: Accurate segmentation of clustered microcalcifications in mammography is crucial for the diagnosis and treatment of breast cancer. Despite exhibiting expert-level accuracy, recent deep learning advancements in medical image segmentation provide insufficient contribution to practical applications, […]


Continue.. MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization

Time-Varying Feedback Optimization for Quadratic Programs with Heterogeneous Gradient Step Sizes

Kavli Affiliate: Jing Wang | First 5 Authors: Andrey Bernstein, Joshua Comden, Yue Chen, Jing Wang, | Summary: Online feedback-based optimization has become a promising framework for real-time optimization and control of complex engineering systems. This tutorial paper surveys the recent advances in the field as well as provides novel convergence results for primal-dual online […]


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Recurrence-Free Survival Prediction for Anal Squamous Cell Carcinoma Chemoradiotherapy using Planning CT-based Radiomics Model

Kavli Affiliate: Jing Wang | First 5 Authors: Shanshan Tang, Kai Wang, David Hein, Gloria Lin, Nina N. Sanford | Summary: Objectives: Approximately 30% of non-metastatic anal squamous cell carcinoma (ASCC) patients will experience recurrence after chemoradiotherapy (CRT), and currently available clinical variables are poor predictors of treatment response. We aimed to develop a model […]


Continue.. Recurrence-Free Survival Prediction for Anal Squamous Cell Carcinoma Chemoradiotherapy using Planning CT-based Radiomics Model

Computing SHAP Efficiently Using Model Structure Information

Kavli Affiliate: Ke Wang | First 5 Authors: Linwei Hu, Ke Wang, , , | Summary: SHAP (SHapley Additive exPlanations) has become a popular method to attribute the prediction of a machine learning model on an input to its features. One main challenge of SHAP is the computation time. An exact computation of Shapley values […]


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Steering-induced phase transition in measurement-only quantum circuits

Kavli Affiliate: Jing Wang | First 5 Authors: Dongheng Qian, Jing Wang, , , | Summary: Competing measurements alone can give rise to distinct phases characterized by entanglement entropy$unicode{x2013}$such as the volume law phase, symmetry-breaking (SB) phase, and symmetry-protected topological (SPT) phase$unicode{x2013}$that can only be discerned through quantum trajectories, making them challenging to observe experimentally. […]


Continue.. Steering-induced phase transition in measurement-only quantum circuits

Steering-induced phase transition in measurement-only quantum circuits

Kavli Affiliate: Jing Wang | First 5 Authors: Dongheng Qian, Jing Wang, , , | Summary: Competing measurements alone can give rise to distinct phases characterized by entanglement entropy$unicode{x2013}$such as the volume law phase, symmetry-breaking (SB) phase, and symmetry-protected topological (SPT) phase$unicode{x2013}$that can only be discerned through quantum trajectories, making them challenging to observe experimentally. […]


Continue.. Steering-induced phase transition in measurement-only quantum circuits

Steering-induced phase transition in measurement-only quantum circuits

Kavli Affiliate: Jing Wang | First 5 Authors: Dongheng Qian, Jing Wang, , , | Summary: Competing measurements alone can give rise to distinct phases characterized by entanglement entropy$unicode{x2013}$such as the volume law phase, symmetry-breaking (SB) phase, and symmetry-protected topological (SPT) phase$unicode{x2013}$that can only be discerned through quantum trajectories, making them challenging to observe experimentally. […]


Continue.. Steering-induced phase transition in measurement-only quantum circuits