Company for the ultra-high density, ultra-short period sub-Earth GJ 367 b: discovery of two additional low-mass planets at 11.5 and 34 days

Kavli Affiliate: George R. Ricker | First 5 Authors: Elisa Goffo, Davide Gandolfi, Jo Ann Egger, Alexander J. Mustill, Simon H. Albrecht | Summary: GJ 367 is a bright (V $approx$ 10.2) M1 V star that has been recently found to host a transiting ultra-short period sub-Earth on a 7.7 hr orbit. With the aim […]


Continue.. Company for the ultra-high density, ultra-short period sub-Earth GJ 367 b: discovery of two additional low-mass planets at 11.5 and 34 days

A Large and Variable Leading Tail of Helium in a Hot Saturn Undergoing Runaway Inflation

Kavli Affiliate: Andrew Vanderburg | First 5 Authors: Michael Gully-Santiago, Caroline V. Morley, Jessica Luna, Morgan MacLeod, Antonija Oklopčić | Summary: Atmospheric escape shapes the fate of exoplanets, with statistical evidence for transformative mass loss imprinted across the mass-radius-insolation distribution. Here we present transit spectroscopy of the highly irradiated, low-gravity, inflated hot Saturn HAT-P-67 b. […]


Continue.. A Large and Variable Leading Tail of Helium in a Hot Saturn Undergoing Runaway Inflation

Simultaneous multi-site editing of individual genomes using retron arrays

Kavli Affiliate: Seth Shipman | Authors: Alejandro Gonzalez-Delgado, Santiago C Lopez, Matias Rojas-Montero, Chloe B Fishman and Seth L Shipman | Summary: Our understanding of genomics is limited by the scale of our genomic technologies. While libraries of genomic manipulations scaffolded on CRISPR gRNAs have been transformative, these existing approaches are typically multiplexed across genomes. […]


Continue.. Simultaneous multi-site editing of individual genomes using retron arrays

Intercellular communication atlas reveals Oprm1 as a neuroprotective factor for retinal ganglion cells

Kavli Affiliate: Seth Blackshaw | Authors: Cheng Qian, Ying Xin, Cheng Qi, Hui Wang, Bryan C. Dong, Donald Zack, Seth Blackshaw, Samer Hattar, Feng-Quan Zhou and Jiang Qian | Summary: The progressive death of mature neurons often results in neurodegenerative diseases. While the previous studies have mostly focused on identifying intrinsic mechanisms controlling neuronal survival, […]


Continue.. Intercellular communication atlas reveals Oprm1 as a neuroprotective factor for retinal ganglion cells

Entanglement Suppression, Enhanced Symmetry and a Standard-Model-like Higgs Boson

Kavli Affiliate: Marcela Carena | First 5 Authors: Marcela Carena, Ian Low, Carlos E. M. Wagner, Ming-Lei Xiao, | Summary: We study information-theoretic properties of scalar models containing two Higgs doublets $Phi_a$, where $a=1,2$ is the flavor quantum number. Considering the 2-to-2 scattering $Phi_a Phi_b to Phi_c Phi_d$ as a two-qubit system in the flavor […]


Continue.. Entanglement Suppression, Enhanced Symmetry and a Standard-Model-like Higgs Boson

Entanglement Suppression, Enhanced Symmetry and a Standard-Model-like Higgs Boson

Kavli Affiliate: Marcela Carena | First 5 Authors: Marcela Carena, Ian Low, Carlos E. M. Wagner, Ming-Lei Xiao, | Summary: We study information-theoretic properties of scalar models containing two Higgs doublets $Phi_a$, where $a=1,2$ is the flavor quantum number. Considering the 2-to-2 scattering $Phi_a Phi_b to Phi_c Phi_d$ as a two-qubit system in the flavor […]


Continue.. Entanglement Suppression, Enhanced Symmetry and a Standard-Model-like Higgs Boson

Generalizable and explainable prediction of potential miRNA-disease associations based on heterogeneous graph learning

Kavli Affiliate: Yi Zhou | First 5 Authors: Yi Zhou, Meixuan Wu, Chengzhou Ouyang, Min Zhu, | Summary: Biomedical research has revealed the crucial role of miRNAs in the progression of many diseases, and computational prediction methods are increasingly proposed for assisting biological experiments to verify miRNA-disease associations (MDAs). However, the generalizability and explainability are […]


Continue.. Generalizable and explainable prediction of potential miRNA-disease associations based on heterogeneous graph learning

Generalizable prediction of potential miRNA-disease associations based on heterogeneous graph learning

Kavli Affiliate: Yi Zhou | First 5 Authors: Yi Zhou, Meixuan Wu, Chengzhou Ouyang, Xinyi Wang, Min Zhu | Summary: Biomedical studies have revealed the crucial role of miRNAs in the progression of many diseases, and computational prediction methods are increasingly proposed for assisting biological experiments to verify miRNA-disease associations (MDAs). The generalizability is a […]


Continue.. Generalizable prediction of potential miRNA-disease associations based on heterogeneous graph learning

Removing direct photocurrent artifacts in optogenetic connectivity mapping data via constrained matrix factorization

Kavli Affiliate: Liam Paninski | Authors: Benjamin Antin, Masato Sadahiro, Marta Gajowa, Marcus A. Triplett, Hillel Adesnik and Liam Paninski | Summary: Monosynaptic connectivity mapping is crucial for building circuit-level models of neural computation. Two-photon optogenetic stimulation, when combined with whole-cell recordings, has the potential to map monosynaptic connectivity at an unprecedented scale. However, optogenetic […]


Continue.. Removing direct photocurrent artifacts in optogenetic connectivity mapping data via constrained matrix factorization