AKAP1 regulates mitochondrial and synaptic homeostasis to enable neuroprotection and repair in retinal ganglion cell degeneration

Posted by dbos UCSD / Salk

Endothelial type I interferon signaling modulates the vascular response to ischemic brain injury Kavli Affiliate: Mark Ellisman | Authors: Tonking Bastola, Keun-Young Kim, Ziyao Shen, Guy A. Perkins, Muna Poudel, Veronica Gomez, Yoonjin Lim, Hyejeong Choi, Jae Yon Won, Soo-Ho Choi, Mark H. Ellisman, Robert N. Weinreb and Won-Kyu Ju | Summary: Glaucoma is a […]


Continue.. AKAP1 regulates mitochondrial and synaptic homeostasis to enable neuroprotection and repair in retinal ganglion cell degeneration

Mapping spatial gradients in spatial transcriptomics data with score matching

Posted by dbos Hopkins

Endothelial type I interferon signaling modulates the vascular response to ischemic brain injury Kavli Affiliate: Laurent Younes | Authors: An Wang, Donald Geman, Uthsav Chitra and Laurent Younes | Summary: Spatial transcriptomics (ST) technologies measure gene expression at thousands of locations within a two-dimensional tissue slice, enabling the study of spatial gene expression patterns. Spatial […]


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Tracing Structure: Shape and Centroid Deviations in 39 Strong Lensing Clusters as a Test of Cluster Formation Predictions

Posted by klaurent MIT

Kavli Affiliate: Michael McDonald | Summary:Strong lensing galaxy clusters provide a unique and powerful way to test simulation-derived structure predictions that follow from $Λ$ Cold Dark Matter ($Λ$CDM) cosmology. Specifically, the relative alignments of the dark matter (DM) halo, stars, and hot intracluster gas in these clusters offer insights into how well theoretical structure predictions […]


Continue.. Tracing Structure: Shape and Centroid Deviations in 39 Strong Lensing Clusters as a Test of Cluster Formation Predictions

Generative Models for Crystalline Materials

Posted by klaurent Berkeley

Kavli Affiliate: Gerbrand Ceder| Summary:Understanding structure-property relationships in materials is fundamental in condensed matter physics and materials science. Over the past few years, machine learning (ML) has emerged as a powerful tool for advancing this understanding and accelerating materials discovery. Early ML approaches primarily focused on constructing and screening large material spaces to identify promising […]


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Joint Estimation of Sea State and Vessel Parameters Using a Mass-Spring-Damper Equivalence Model

Posted by klaurent Stanford

Kavli Affiliate: Peter Graham | Summary:Real-time sea state estimation is vital for applications like shipbuilding and maritime safety. Traditional methods rely on accurate wave-vessel transfer functions to estimate wave spectra from onboard sensors. In contrast, our approach jointly estimates sea state and vessel parameters without needing prior transfer function knowledge, which may be unavailable or […]


Continue.. Joint Estimation of Sea State and Vessel Parameters Using a Mass-Spring-Damper Equivalence Model

Joint Estimation of Sea State and Vessel Parameters Using a Mass-Spring-Damper Equivalence Model

Posted by klaurent Stanford

Kavli Affiliate: Peter Graham | Summary:Real-time sea state estimation is vital for applications like shipbuilding and maritime safety. Traditional methods rely on accurate wave-vessel transfer functions to estimate wave spectra from onboard sensors. In contrast, our approach jointly estimates sea state and vessel parameters without needing prior transfer function knowledge, which may be unavailable or […]


Continue.. Joint Estimation of Sea State and Vessel Parameters Using a Mass-Spring-Damper Equivalence Model