Vascular endothelial-specific loss of TGF-beta signaling as a model for choroidal neovascularization and central nervous system vascular inflammation

Posted by dbos Hopkins

Kavli Affiliate: Jeremy Nathans | Authors: Yanshu Wang, Amir Rattner, Zhongming Li, Philip M Smallwood and Jeremy Nathans | Summary: In mice, postnatal endothelial cell (EC)-specific knockout of the genes coding for Transforming Growth Factor-Beta Receptor (TGFBR)1 and/or TGFBR2 eliminates TGF-beta signaling in vascular ECs and leads to distinctive central nervous system (CNS) vascular phenotypes. […]


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The X-ray statistical properties of dust-obscured galaxies detected by eROSITA

Posted by dbos Peking

Kavli Affiliate: Kohei Inayoshi | First 5 Authors: Akatoki Noboriguchi, Kohei Ichikawa, Yoshiki Toba, Tom Dwelly, Kohei Inayoshi | Summary: Dust-obscured galaxies (DOGs) are considered to be in a co-evolution phase, with the associated active galactic nuclei (AGN) obscured by dust and gas. Although the DOGs are thought to harbor rapidly growing SMBHs, their X-ray […]


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Error-In-Variables Methods for Efficient System Identification with Finite-Sample Guarantees

Posted by klaurent Tokyo

Kavli Affiliate: Jia Liu | First 5 Authors: Yuyang Zhang, Yuyang Zhang, , , | Summary: This paper addresses the problem of learning linear dynamical systems from noisy observations. In this setting, existing algorithms either yield biased parameter estimates or have large sample complexities. We resolve these issues by adapting the instrumental variable method and […]


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Sample Efficient Algorithms for Linear System Identification under Noisy Observations

Posted by dbos Tokyo

Kavli Affiliate: Jia Liu | First 5 Authors: Yuyang Zhang, Xinhe Zhang, Jia Liu, Na Li, | Summary: In this paper, we focus on learning linear dynamical systems under noisy observations. In this setting, existing algorithms either yield biased parameter estimates, or suffer from large sample complexities. To address these issues, we adapt the instrumental […]


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