Probing the Galactic Halo with RR Lyrae Stars — V. Chemistry, Kinematics, and Dynamically Tagged Groups

Kavli Affiliate: Huawei Zhang | First 5 Authors: Jonathan Cabrera Garcia, Timothy C. Beers, Yang Huang, Xin-Yi Li, Gaochao Liu | Summary: We employ a sample of 135,873 RR Lyrae stars (RRLs) with precise photometric-metallicity and distance estimates from the newly calibrated $P$–$phi_{31}$–$R_{21}$–[Fe/H] and $Gaia$ $G$-band $P$–$R_{21}$–[Fe/H] absolute magnitude-metallicity relations of Li et al., combined […]


Continue.. Probing the Galactic Halo with RR Lyrae Stars — V. Chemistry, Kinematics, and Dynamically Tagged Groups

Rethinking Mitosis Detection: Towards Diverse Data and Feature Representation

Kavli Affiliate: Jing Wang | First 5 Authors: Hao Wang, Jiatai Lin, Danyi Li, Jing Wang, Bingchao Zhao | Summary: Mitosis detection is one of the fundamental tasks in computational pathology, which is extremely challenging due to the heterogeneity of mitotic cell. Most of the current studies solve the heterogeneity in the technical aspect by […]


Continue.. Rethinking Mitosis Detection: Towards Diverse Data and Feature Representation

Scientific Objectives of the Hot Universe Baryon Surveyor (HUBS) Mission

Kavli Affiliate: Lijing Shao | First 5 Authors: Joel Bregman, Renyue Cen, Yang Chen, Wei Cui, Taotao Fang | Summary: The Hot Universe Baryon Surveyor (HUBS) is a proposed space-based X-ray telescope for detecting X-ray emissions from the hot gas content in our universe. With its unprecedented spatially-resolved high-resolution spectroscopy and large field of view, […]


Continue.. Scientific Objectives of the Hot Universe Baryon Surveyor (HUBS) Mission

Scientific Objectives of the Hot Universe Baryon Surveyor (HUBS) Mission

Kavli Affiliate: Feng Yuan | First 5 Authors: Joel Bregman, Renyue Cen, Yang Chen, Wei Cui, Taotao Fang | Summary: The Hot Universe Baryon Surveyor (HUBS) is a proposed space-based X-ray telescope for detecting X-ray emissions from the hot gas content in our universe. With its unprecedented spatially-resolved high-resolution spectroscopy and large field of view, […]


Continue.. Scientific Objectives of the Hot Universe Baryon Surveyor (HUBS) Mission

Multiobjective Hydropower Reservoir Operation Optimization with Transformer-Based Deep Reinforcement Learning

Kavli Affiliate: Ran Wang | First 5 Authors: Rixin Wu, Ran Wang, Jie Hao, Qiang Wu, Ping Wang | Summary: Due to shortage of water resources and increasing water demands, the joint operation of multireservoir systems for balancing power generation, ecological protection, and the residential water supply has become a critical issue in hydropower management. […]


Continue.. Multiobjective Hydropower Reservoir Operation Optimization with Transformer-Based Deep Reinforcement Learning

The Dragon-II simulations — III. Compact binary mergers in clusters with up to 1 million stars: mass, spin, eccentricity, merger rate and pair instability supernovae rate

Kavli Affiliate: Rainer Spurzem | First 5 Authors: Manuel Arca Sedda, Albrecht W. H. Kamlah, Rainer Spurzem, Francesco Paolo Rizzuto, Mirek Giersz | Summary: Compact binary mergers forming in star clusters may exhibit distinctive features that can be used to identify them among observed gravitational-wave (GW) sources. Such features likely depend on the host cluster […]


Continue.. The Dragon-II simulations — III. Compact binary mergers in clusters with up to 1 million stars: mass, spin, eccentricity, merger rate and pair instability supernovae rate

The Dragon-II simulations — II. Formation mechanisms, mass, and spin of intermediate-mass black holes in star clusters with up to 1 million stars

Kavli Affiliate: Rainer Spurzem | First 5 Authors: Manuel Arca Sedda, Albrecht W. H. Kamlah, Rainer Spurzem, Francesco Paolo Rizzuto, Mirek Giersz | Summary: The processes that govern the formation of intermediate-mass black holes (IMBHs) in dense stellar clusters are still unclear. Here, we discuss the role of stellar mergers, star-BH interactions and accretion, as […]


Continue.. The Dragon-II simulations — II. Formation mechanisms, mass, and spin of intermediate-mass black holes in star clusters with up to 1 million stars

ECL: Class-Enhancement Contrastive Learning for Long-tailed Skin Lesion Classification

Kavli Affiliate: Ke Wang | First 5 Authors: Yilan Zhang, Jianqi Chen, Ke Wang, Fengying Xie, | Summary: Skin image datasets often suffer from imbalanced data distribution, exacerbating the difficulty of computer-aided skin disease diagnosis. Some recent works exploit supervised contrastive learning (SCL) for this long-tailed challenge. Despite achieving significant performance, these SCL-based methods focus […]


Continue.. ECL: Class-Enhancement Contrastive Learning for Long-tailed Skin Lesion Classification