Autism-associated transcriptional regulators target shared loci proximal to brain-expressed genes.

Posted by klaurent UCSF

Kavli Affiliate: John Rubenstein | Authors: Siavash Fazel Darbandi, Joon Yong An, Kenneth Lim, Nicholas F. Page, Lindsay Liang, Athena Ypsilanti, Eirene Markenscoff-Papadimitriou, Matthew W. State, Alex S Nord, Stephan J. Sanders and John L.R. Rubenstein | Summary: SUMMARY Many autism spectrum disorder (ASD)-associated genes act as transcriptional regulators (TRs). ChIP-seq was used to identify […]


Continue.. Autism-associated transcriptional regulators target shared loci proximal to brain-expressed genes.

Resolving galactic-scale obscuration of X-ray AGN at $zgtrsim1$ with COSMOS-Web

Posted by klaurent Tokyo

Kavli Affiliate: John D. Silverman | First 5 Authors: John D. Silverman, Vincenzo Mainieri, Xuheng Ding, Daizhong Liu, Knud Jahnke | Summary: A large fraction of the accreting supermassive black hole population is shrouded by copious amounts of gas and dust, particularly in the distant ($zgtrsim1$) Universe. While much of the obscuration is attributed to […]


Continue.. Resolving galactic-scale obscuration of X-ray AGN at $zgtrsim1$ with COSMOS-Web

Resolving galactic-scale obscuration of X-ray AGN at $zgtrsim1$ with COSMOS-Web

Posted by klaurent Tokyo

Kavli Affiliate: John D. Silverman | First 5 Authors: John D. Silverman, Vincenzo Mainieri, Xuheng Ding, Daizhong Liu, Knud Jahnke | Summary: A large fraction of the accreting supermassive black hole population is shrouded by copious amounts of gas and dust, particularly in the distant ($zgtrsim1$) Universe. While much of the obscuration is attributed to […]


Continue.. Resolving galactic-scale obscuration of X-ray AGN at $zgtrsim1$ with COSMOS-Web

A Crystallizing White Dwarf in a Sirius-Like Quadruple System

Posted by klaurent MIT

Kavli Affiliate: Andrew Vanderburg | First 5 Authors: Alexander Venner, Simon Blouin, Antoine Bédard, Andrew Vanderburg, | Summary: The observational signature of core crystallization of white dwarfs has recently been discovered. However, the magnitude of the crystallization-powered cooling delay required to match observed white dwarfs is larger than predicted by conventional models, requiring additional mechanisms […]


Continue.. A Crystallizing White Dwarf in a Sirius-Like Quadruple System

Imaging the Meissner effect and flux trapping in a hydride superconductor at megabar pressures using a nanoscale quantum sensor

Posted by klaurent Berkeley

Kavli Affiliate: Joel E. Moore | First 5 Authors: Prabudhya Bhattacharyya, Wuhao Chen, Xiaoli Huang, Shubhayu Chatterjee, Benchen Huang | Summary: By directly altering microscopic interactions, pressure provides a powerful tuning knob for the exploration of condensed phases and geophysical phenomena. The megabar regime represents an exciting frontier, where recent discoveries include novel high-temperature superconductors, […]


Continue.. Imaging the Meissner effect and flux trapping in a hydride superconductor at megabar pressures using a nanoscale quantum sensor

Measurement of $C!P$ asymmetries and branching-fraction ratios for $B^pm to DK^pm$ and $Dπ^pm$ with $Dto K^0_{rm S} K^pmπ^mp$ using Belle and Belle II data

Posted by klaurent Tokyo

Kavli Affiliate: T. Higuchi | First 5 Authors: Belle, Belle II Collaboration, :, I. Adachi, L. Aggarwal | Summary: We measure $C!P$ asymmetries and branching-fraction ratios for $B^pm to DK^pm$ and $Dpi^pm$ decays with $Dto K^0_{rm S} K^pmpi^mp$, where $D$ is a superposition of $D^0$ and $bar{D}^0$. We use the full data set of the […]


Continue.. Measurement of $C!P$ asymmetries and branching-fraction ratios for $B^pm to DK^pm$ and $Dπ^pm$ with $Dto K^0_{rm S} K^pmπ^mp$ using Belle and Belle II data

Early Rumor Detection Using Neural Hawkes Process with a New Benchmark Dataset

Posted by Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Fengzhu Zeng, Wei Gao, , , | Summary: Little attention has been paid on underline{EA}rly underline{R}umor underline{D}etection (EARD), and EARD performance was evaluated inappropriately on a few datasets where the actual early-stage information is largely missing. To reverse such situation, we construct BEARD, a new underline{B}enchmark dataset […]


Continue.. Early Rumor Detection Using Neural Hawkes Process with a New Benchmark Dataset

Early Rumor Detection Using Neural Hawkes Process with a New Benchmark Dataset

Posted by Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Fengzhu Zeng, Wei Gao, , , | Summary: Little attention has been paid on underline{EA}rly underline{R}umor underline{D}etection (EARD), and EARD performance was evaluated inappropriately on a few datasets where the actual early-stage information is largely missing. To reverse such situation, we construct BEARD, a new underline{B}enchmark dataset […]


Continue.. Early Rumor Detection Using Neural Hawkes Process with a New Benchmark Dataset

MotionTrack: Learning Motion Predictor for Multiple Object Tracking

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Changcheng Xiao, Qiong Cao, Yujie Zhong, Long Lan, Xiang Zhang | Summary: Significant progress has been achieved in multi-object tracking (MOT) through the evolution of detection and re-identification (ReID) techniques. Despite these advancements, accurately tracking objects in scenarios with homogeneous appearance and heterogeneous motion remains a challenge. […]


Continue.. MotionTrack: Learning Motion Predictor for Multiple Object Tracking

Prompt to be Consistent is Better than Self-Consistent? Few-Shot and Zero-Shot Fact Verification with Pre-trained Language Models

Posted by Caltech

Kavli Affiliate: Wei Gao | First 5 Authors: Fengzhu Zeng, Wei Gao, , , | Summary: Few-shot or zero-shot fact verification only relies on a few or no labeled training examples. In this paper, we propose a novel method called ProToCo, to underline{Pro}mpt pre-trained language models (PLMs) underline{To} be underline{Co}nsistent, for improving the factuality assessment […]


Continue.. Prompt to be Consistent is Better than Self-Consistent? Few-Shot and Zero-Shot Fact Verification with Pre-trained Language Models