The Galaxy Activity, Torus, and Outflow Survey (GATOS). (IV): Exploring Ionized Gas Outflows in Central Kiloparsec Regions of GATOS Seyferts

Kavli Affiliate: Claudio Ricci | First 5 Authors: Lulu Zhang, Chris Packham, Erin K. S. Hicks, Ric I. Davies, Taro T. Shimizu | Summary: Utilizing JWST MIRI/MRS IFU observations of the kiloparsec scale central regions, we showcase the diversity of ionized gas distributions and kinematics in six nearby Seyfert galaxies included in the GATOS survey. […]


Continue.. The Galaxy Activity, Torus, and Outflow Survey (GATOS). (IV): Exploring Ionized Gas Outflows in Central Kiloparsec Regions of GATOS Seyferts

Possible anti-correlations between pulsation amplitudes and the disk growth of Be stars in giant-outbursting Be X-ray binaries

Kavli Affiliate: Michael M. Fausnaugh | First 5 Authors: Masafumi Niwano, Michael M. Fausnaugh, Ryan M. Lau, Kishalay De, Roberto Soria | Summary: The mechanism of X-ray outbursts in Be X-ray binaries remains a mystery, and understanding their circumstellar disks is crucial for a solution of the mass-transfer problem. In particular, it is important to […]


Continue.. Possible anti-correlations between pulsation amplitudes and the disk growth of Be stars in giant-outbursting Be X-ray binaries

Possible anti-correlations between pulsation amplitudes and the disk growth of Be stars in giant-outbursting Be X-ray binaries

Kavli Affiliate: Roland Vanderspek | First 5 Authors: Masafumi Niwano, Michael M. Fausnaugh, Ryan M. Lau, Kishalay De, Roberto Soria | Summary: The mechanism of X-ray outbursts in Be X-ray binaries remains a mystery, and understanding their circumstellar disks is crucial for a solution of the mass-transfer problem. In particular, it is important to identify […]


Continue.. Possible anti-correlations between pulsation amplitudes and the disk growth of Be stars in giant-outbursting Be X-ray binaries

Characterizing cell-type spatial relationships across length scales in spatially resolved omics data

Kavli Affiliate: Jean Fan | Authors: Rafael dos Santos Peixoto, Brendan F Miller, Maigan A Brusko, Gohta Aihara, Lyla Atta, Manjari Anant, Mark A Atkinson, Todd M Brusko, Clive H Wasserfall and Jean Fan | Summary: Spatially resolved omics (SRO) technologies enable the identification of cell types while preserving their organization within tissues. Application of […]


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Cholinergic feedback for context-specific modulation of sensory representations

Kavli Affiliate: Takaki Komiyama | Authors: Bin Yu, Yuxuan Yue, Chi Ren, Rui Yun, Byungkook Lim and Takaki Komiyama | Summary: The brain’s ability to prioritize behaviorally relevant sensory information is crucial for adaptive behavior, yet the underlying mechanisms remain unclear. Here, we investigated the role of basal forebrain cholinergic neurons in modulating olfactory bulb […]


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Brain state and cortical layer-specific mechanisms underlying perception at threshold

Kavli Affiliate: Anirvan Nandy, John Reynolds | Authors: Mitchell P Morton, Sachira Denagamage, Isabel J Blume, John H Reynolds, Monika P Jadi and Anirvan S Nandy | Summary: Identical stimuli can be perceived or go unnoticed across successive presentations, producing divergent behavioral outcomes despite similarities in sensory input. We sought to understand how fluctuations in […]


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Evaluating probabilistic and data-driven inference models for fiber-coupled NV-diamond temperature sensors

Kavli Affiliate: Zeeshan Ahmed | First 5 Authors: Shraddha Rajpal, Zeeshan Ahmed, Tyrus Berry, , | Summary: We evaluate the impact of inference model on uncertainties when using continuous wave Optically Detected Magnetic Resonance (ODMR) measurements to infer temperature. Our approach leverages a probabilistic feedforward inference model designed to maximize the likelihood of observed ODMR […]


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OPUS: Occupancy Prediction Using a Sparse Set

Kavli Affiliate: Ke Wang | First 5 Authors: Jiabao Wang, Zhaojiang Liu, Qiang Meng, Liujiang Yan, Ke Wang | Summary: Occupancy prediction, aiming at predicting the occupancy status within voxelized 3D environment, is quickly gaining momentum within the autonomous driving community. Mainstream occupancy prediction works first discretize the 3D environment into voxels, then perform classification […]


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