Tumor proliferation and invasion are coupled through cell-extracellular matrix friction

Posted by klaurent Hopkins

Kavli Affiliate: Denis Wirtz | Authors: Ashleigh J. Crawford, Clara Gomez-Cruz, Gabriella C. Russo, Wilson Huang, Isha Bhorkar, Arrate Munoz-Barrutia, Denis Wirtz and Daniel Garcia-Gonzalez | Summary: Abstract Cell proliferation and invasion are two key drivers of tumor progression and are traditionally considered two independent cellular processes regulated by distinct pathways. Through in vitro and […]


Continue.. Tumor proliferation and invasion are coupled through cell-extracellular matrix friction

A method of inferring partially observable Markov models from syllable sequences reveals the effects of deafening on Bengalese finch song syntax

Posted by klaurent UCSF

Kavli Affiliate: Kristofer Bouchard | Authors: Jiali Lu, Sumithra Surendralal, Kristofer E Bouchard and Dezhe Z. Jin | Summary: Abstract Songs of the Bengalese finch consist of variable sequences of syllables. The sequences follow probabilistic rules, and can be statistically described by partially observable Markov models (POMMs), which consist of states and probabilistic transitions between […]


Continue.. A method of inferring partially observable Markov models from syllable sequences reveals the effects of deafening on Bengalese finch song syntax

Robust and Fast Quantum State Transfer on Superconducting Circuits

Posted by klaurent Tokyo

Kavli Affiliate: Jia Liu | First 5 Authors: Xiao-Qing Liu, Jia Liu, Zheng-Yuan Xue, , | Summary: Quantum computation attaches importance to high-precision quantum manipulation, where the quantum state transfer with high fidelity is necessary. Here, we propose a new scheme to implement the quantum state transfer of high fidelity and long distance, by adding […]


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Hierarchical Inference of the Lensing Convergence from Photometric Catalogs with Bayesian Graph Neural Networks

Posted by klaurent Stanford

Kavli Affiliate: Aaron Roodman | First 5 Authors: Ji Won Park, Simon Birrer, Madison Ueland, Miles Cranmer, Adriano Agnello | Summary: We present a Bayesian graph neural network (BGNN) that can estimate the weak lensing convergence ($kappa$) from photometric measurements of galaxies along a given line of sight. The method is of particular interest in […]


Continue.. Hierarchical Inference of the Lensing Convergence from Photometric Catalogs with Bayesian Graph Neural Networks

Hierarchical Inference of the Lensing Convergence from Photometric Catalogs with Bayesian Graph Neural Networks

Posted by klaurent Stanford

Kavli Affiliate: Philip J. Marshall | First 5 Authors: Ji Won Park, Simon Birrer, Madison Ueland, Miles Cranmer, Adriano Agnello | Summary: We present a Bayesian graph neural network (BGNN) that can estimate the weak lensing convergence ($kappa$) from photometric measurements of galaxies along a given line of sight. The method is of particular interest […]


Continue.. Hierarchical Inference of the Lensing Convergence from Photometric Catalogs with Bayesian Graph Neural Networks