Membrane Nanodomains Homeostasis During Propofol Anesthesia as Function of Dosage and Temperature

Kavli Affiliate: Michael Zucker | Summary:Some anesthetics bind and potentiate gamma-aminobutyric-acid-type receptors, but no universal mechanism for general anesthesia is known. Furthermore, often encountered complications such as anesthesia induced amnesia are not understood. General anesthetics are hydrophobic molecules easily dissolving into lipid bilayers. Recently, it was shown that general anesthetics perturb phase separation in vesicles […]


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Two young planetary systems around field stars with ages between 20-320 Myr from TESS

Kavli Affiliate: Andrew M. Vanderburg | First 5 Authors: George Zhou, Samuel N. Quinn, Jonathan Irwin, Chelsea X. Huang, Karen A. Collins | Summary: Planets around young stars trace the early evolution of planetary systems. We report the discovery and validation of two planetary systems with ages $lesssim 300$ Myr from observations by the Transiting […]


Continue.. Two young planetary systems around field stars with ages between 20-320 Myr from TESS

On the Convergence of Reinforcement Learning in Nonlinear Continuous State Space Problems

Kavli Affiliate: Ran Wang | First 5 Authors: Raman Goyal, Suman Chakravorty, Ran Wang, Mohamed Naveed Gul Mohamed, | Summary: We consider the problem of Reinforcement Learning for nonlinear stochastic dynamical systems. We show that in the RL setting, there is an inherent “Curse of Variance" in addition to Bellman’s infamous “Curse of Dimensionality", in […]


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Data Processing Pipeline For Tianlai Experiment

Kavli Affiliate: Kiyoshi W. Masui | First 5 Authors: Shifan Zuo, Jixia Li, Yichao Li, Das Santanu, Albert Stebbins | Summary: The Tianlai project is a 21cm intensity mapping experiment aimed at detecting dark energy by measuring the baryon acoustic oscillation (BAO) features in the large scale structure power spectrum. This experiment provides an opportunity […]


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Deep learning insights into cosmological structure formation

Kavli Affiliate: Brian Nord | First 5 Authors: Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen, Brian Nord, Jeyan Thiyagalingam | Summary: While the evolution of linear initial conditions present in the early universe into extended halos of dark matter at late times can be computed using cosmological simulations, a theoretical understanding of this complex process […]


Continue.. Deep learning insights into cosmological structure formation

Deep learning insights into cosmological structure formation

Kavli Affiliate: Brian Nord | First 5 Authors: Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen, Brian Nord, Jeyan Thiyagalingam | Summary: The evolution of linear initial conditions present in the early universe into extended halos of dark matter at late times can be computed using cosmological simulations. However, a theoretical understanding of this complex process […]


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Origin of the in-orbit instrumental background of the Hard X-ray Imager onboard Hitomi

Kavli Affiliate: Shinichiro Takeda | First 5 Authors: Kouichi Hagino, Hirokazu Odaka, Goro Sato, Tamotsu Sato, Hiromasa Suzuki | Summary: Understanding and reducing the in-orbit instrumental backgrounds are essential to achieving high sensitivity in hard X-ray astronomical observations. The observational data of the Hard X-ray Imager (HXI) on board the Hitomi satellite provides useful information […]


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Constraints on Lightly Ionizing Particles from CDMSlite

Kavli Affiliate: Paul Brink | Summary:The Cryogenic Dark Matter Search low ionization threshold experiment (CDMSlite) achieved efficient detection of very small recoil energies in its germanium target, resulting in sensitivity to Lightly Ionizing Particles (LIPs) in a previously unexplored region of charge, mass, and velocity parameter space. We report first direct-detection limits calculated using the […]


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Shaping Deep Feature Space towards Gaussian Mixture for Visual Classification

Kavli Affiliate: Jiansheng Chen | First 5 Authors: Weitao Wan, Jiansheng Chen, Cheng Yu, Tong Wu, Yuanyi Zhong | Summary: The softmax cross-entropy loss function has been widely used to train deep models for various tasks. In this work, we propose a Gaussian mixture (GM) loss function for deep neural networks for visual classification. Unlike […]


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