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 […]


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

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 […]


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

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 […]


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

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 […]


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

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 […]


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

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 […]


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

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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Weakly-Supervised Text-driven Contrastive Learning for Facial Behavior Understanding

Posted by klaurent Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Taoyue Wang, Xiaotian Li, Huiyuan Yang, Lijun Yin | Summary: Contrastive learning has shown promising potential for learning robust representations by utilizing unlabeled data. However, constructing effective positive-negative pairs for contrastive learning on facial behavior datasets remains challenging. This is because such pairs inevitably encode […]


Continue.. Weakly-Supervised Text-driven Contrastive Learning for Facial Behavior Understanding

Weakly-Supervised Text-driven Contrastive Learning for Facial Behavior Understanding

Posted by klaurent Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Taoyue Wang, Xiaotian Li, Huiyuan Yang, Lijun Yin | Summary: Contrastive learning has shown promising potential for learning robust representations by utilizing unlabeled data. However, constructing effective positive-negative pairs for contrastive learning on facial behavior datasets remains challenging. This is because such pairs inevitably encode […]


Continue.. Weakly-Supervised Text-driven Contrastive Learning for Facial Behavior Understanding