Enhancing Clinical Evidence Recommendation with Multi-Channel Heterogeneous Learning on Evidence Graphs

Posted by klaurent Berkeley

Kavli Affiliate: Xiang Zhang | Authors: Maolin Luo, Xiang Zhang | Summary: Clinical evidence encompasses the associations and impacts between patients, interventions (such as drugs or physiotherapy), problems, and outcomes. The goal of recommending clinical evidence is to provide medical practitioners with relevant information to support their decision-making processes and to generate new evidence. Our […]


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Action Pick-up in Dynamic Action Space Reinforcement Learning

Posted by klaurent Berkeley

Kavli Affiliate: Feng Wang | Authors: Jiaqi Ye, Xiaodong Li, Pangjing Wu, Feng Wang | Summary: Most reinforcement learning algorithms are based on a key assumption that Markov decision processes (MDPs) are stationary. However, non-stationary MDPs with dynamic action space are omnipresent in real-world scenarios. Yet problems of dynamic action space reinforcement learning have been […]


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A Hierarchical Multi-Vehicle Coordinated Motion Planning Method based on Interactive Spatio-Temporal Corridors

Posted by klaurent Berkeley

Kavli Affiliate: Xiang Zhang | Authors: Xiang Zhang, Boyang Wang, Yaomin Lu, Haiou Liu, Jianwei Gong, Huiyan Chen | Summary: Multi-vehicle coordinated motion planning has always been challenged to safely and efficiently resolve conflicts under non-holonomic dynamic constraints. Constructing spatial-temporal corridors for multi-vehicle can decouple the high-dimensional conflicts and further reduce the difficulty of obtaining […]


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Acceleration-Based Kalman Tracking for Super-Resolution Ultrasound Imaging in vivo

Posted by klaurent UCAS

Kavli Affiliate: Biao Huang | Authors: Biao Huang, Jipeng Yan, Megan Morris, Victoria Sinnett, Navita Somaiah, Meng-Xing Tang | Summary: Super-resolution ultrasound can image microvascular structure and flow at sub-wave-diffraction resolution based on localising and tracking microbubbles. Currently, tracking microbubbles accurately under limited imaging frame rates and high microbubble concentrations remains a challenge, especially under […]


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Hyper Suprime-Cam Year 3 Results: Cosmology from Galaxy Clustering and Weak Lensing with HSC and SDSS using the Minimal Bias Model

Posted by dbos Tokyo

Kavli Affiliate: Hitoshi Murayama | First 5 Authors: Sunao Sugiyama, Hironao Miyatake, Surhud More, Xiangchong Li, Masato Shirasaki | Summary: We present cosmological parameter constraints from a blind joint analysis of three two-point correlation functions measured from the Year 3 Hyper Suprime-Cam (HSC-Y3) imaging data, covering 416 deg$^2$, and the SDSS DR11 spectroscopic galaxies spanning […]


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Hyper Suprime-Cam Year 3 Results: Cosmology from Galaxy Clustering and Weak Lensing with HSC and SDSS using the Emulator Based Halo Model

Posted by klaurent Tokyo

Kavli Affiliate: Hitoshi Murayama | First 5 Authors: Hironao Miyatake, Sunao Sugiyama, Masahiro Takada, Takahiro Nishimichi, Xiangchong Li | Summary: We present cosmology results from a blinded joint analysis of cosmic shear, $xi_{pm}(vartheta)$, galaxy-galaxy weak lensing, $Delta!Sigma(R)$, and projected galaxy clustering, $w_{rm p}(R)$, measured from the Hyper Suprime-Cam three-year (HSC-Y3) shape catalog and the Sloan […]


Continue.. Hyper Suprime-Cam Year 3 Results: Cosmology from Galaxy Clustering and Weak Lensing with HSC and SDSS using the Emulator Based Halo Model

Hyper Suprime-Cam Year 3 Results: Measurements of Clustering of SDSS-BOSS Galaxies, Galaxy-Galaxy Lensing and Cosmic Shear

Posted by dbos Tokyo

Kavli Affiliate: Hitoshi Murayama | First 5 Authors: Surhud More, Sunao Sugiyama, Hironao Miyatake, Markus Michael Rau, Masato Shirasaki | Summary: We use the Sloan Digital Sky Survey (SDSS) BOSS galaxies and their overlap with approximately 416 sq. degree of deep $grizy$-band imaging from the Subaru Hyper Suprime-Cam Survey (HSC). We measure three two-point correlations […]


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Hyper Suprime-Cam Year 3 Results: Cosmology from Cosmic Shear Two-point Correlation Functions

Posted by klaurent Tokyo

Kavli Affiliate: Hitoshi Murayama | First 5 Authors: Xiangchong Li, Tianqing Zhang, Sunao Sugiyama, Roohi Dalal, Ryo Terasawa | Summary: We perform a blinded cosmology analysis with cosmic shear two-point correlation functions (2PCFs) measured from more than 25 million galaxies in the Hyper Suprime-Cam three-year shear catalog in four tomographic redshift bins ranging from 0.3 […]


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High-throughput colocalization pipeline quantifies efficacy of mitochondrial targeting signals across different protein types

Posted by klaurent UCSF

Kavli Affiliate: Seth Shipman | Authors: Sierra K Lear, Jose A Nunez and Seth L Shipman | Summary: Efficient metabolic engineering and the development of mitochondrial therapeutics often rely upon the specific and strong import of foreign proteins into mitochondria. Fusing a protein to a mitochondria-bound signal peptide is a common method to localize proteins […]


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Human Connectomes Are Heritable

Posted by klaurent Hopkins

Kavli Affiliate: Joshua Vogelstein | Authors: Jaewon Chung, Eric W Bridgeford, Michael Powell and Joshua T Vogelstein | Summary: The heritability of human connectomes is crucial for understanding the genetic and environmental factors that influence variations in connectomes, which can provide insights into behavior and disease. However, current approaches to studying connectome heritability assume an […]


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