Connection between galaxy morphology and dark-matter halo structure I: a running threshold for thin discs and size predictors from the dark sector

Kavli Affiliate: Luis C. Ho | First 5 Authors: Jinning Liang, Fangzhou Jiang, Houjun Mo, Andrew Benson, Avishai Dekel | Summary: We present a series of studies on the connection between galaxy morphology and the structure of host dark-matter (DM) haloes using cosmological simulations. In this work, we introduce a new kinematic decomposition scheme that […]


Continue.. Connection between galaxy morphology and dark-matter halo structure I: a running threshold for thin discs and size predictors from the dark sector

Empowering Segmentation Ability to Multi-modal Large Language Models

Kavli Affiliate: Jing Wang | First 5 Authors: Yuqi Yang, Peng-Tao Jiang, Jing Wang, Hao Zhang, Kai Zhao | Summary: Multi-modal large language models (MLLMs) can understand image-language prompts and demonstrate impressive reasoning ability. In this paper, we extend MLLMs’ output by empowering MLLMs with the segmentation ability. The extended MLLMs can both output language […]


Continue.. Empowering Segmentation Ability to Multi-modal Large Language Models

Dynamic motion trajectory control with nanoradian accuracy for multi-element X-ray optical systems via laser interferometry

Kavli Affiliate: Brian Lantz | First 5 Authors: Sina M Koehlenbeck, Lance Lee, Mario D Balcazar, Ying Chen, Vincent Esposito | Summary: The past decades have witnessed the development of new X-ray beam sources with brightness growing at a rate surpassing Moore’s law. Current and upcoming diffraction limited and fully coherent X-ray beam sources, including […]


Continue.. Dynamic motion trajectory control with nanoradian accuracy for multi-element X-ray optical systems via laser interferometry

Structure-preserving, weighted implicit-explicit schemes for multi-phase incompressible Navier-Stokes/Darcy coupled nonlocal Allen-Cahn model

Kavli Affiliate: Ke Wang | First 5 Authors: Meng Li, Ke Wang, Nan Wang, , | Summary: A multitude of substances exist as mixtures comprising multiple chemical components in the natural world. These substances undergo morphological changes under external influences. the phase field model coupled with fluid flow, the dynamic movement and evolution of the […]


Continue.. Structure-preserving, weighted implicit-explicit schemes for multi-phase incompressible Navier-Stokes/Darcy coupled nonlocal Allen-Cahn model

Evaluating Unsupervised Dimensionality Reduction Methods for Pretrained Sentence Embeddings

Kavli Affiliate: Yi Zhou | First 5 Authors: Gaifan Zhang, Yi Zhou, Danushka Bollegala, , | Summary: Sentence embeddings produced by Pretrained Language Models (PLMs) have received wide attention from the NLP community due to their superior performance when representing texts in numerous downstream applications. However, the high dimensionality of the sentence embeddings produced by […]


Continue.. Evaluating Unsupervised Dimensionality Reduction Methods for Pretrained Sentence Embeddings

Parallel Encoding of Speech in Human Frontal and Temporal Lobes

Kavli Affiliate: Edward Chang | Authors: Patrick W Hullett, Matthew K Leonard, Maria Luisa W Gorno-Tempini, Maria Luisa Mandelli and Edward F Chang | Summary: Models of speech perception are centered around a hierarchy in which auditory representations in the thalamus propagate to primary auditory cortex, then to the lateral temporal cortex, and finally through […]


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No evidence of AGN features in the nuclei of Arp 220 from JWST/NIRSpec IFS

Kavli Affiliate: Roberto Maiolino | First 5 Authors: Michele Perna, Santiago Arribas, Isabella Lamperti, Miguel Pereira-Santaella, Lorenzo Ulivi | Summary: Arp 220 is the nearest ULIRG; it shows evidence of 100 pc-scale molecular outflows likely connected with galaxy-scale outflows traced by ionised and neutral gas. The two highly obscured nuclei of Arp 220 are the […]


Continue.. No evidence of AGN features in the nuclei of Arp 220 from JWST/NIRSpec IFS

Continuous Bump Attractor Networks Require Explicit Error Coding for Gain Recalibration

Kavli Affiliate: James Knierim | Authors: Gorkem Secer, James J. Knierim and Noah J. Cowan | Summary: Representations of continuous variables are crucial to create internal models of the external world. A prevailing model of how the brain maintains these representations is given by continuous bump attractor networks (CBANs) in a broad range of brain […]


Continue.. Continuous Bump Attractor Networks Require Explicit Error Coding for Gain Recalibration

Dynamic Information Dissemination Model Incorporating Non-Adjacent Node Interaction

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xinyu Li, Jinyang Huang, Xiang Zhang, Peng Zhao, Meng Wang | Summary: Describing the dynamics of information dissemination within social networks poses a formidable challenge. Despite multiple endeavors aimed at addressing this issue, only a limited number of studies have effectively replicated and forecasted the evolving course […]


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A Bayesian Approach for Selecting Relevant External Data (BASE): Application to a study of Long-Term Outcomes in a Hemophilia Gene Therapy Trial

Kavli Affiliate: Xiang Zhang | First 5 Authors: Tianyu Pan, Xiang Zhang, Weining Shen, Ting Ye, | Summary: Gene therapies aim to address the root causes of diseases, particularly those stemming from rare genetic defects that can be life-threatening or severely debilitating. While there has been notable progress in the development of gene therapies in […]


Continue.. A Bayesian Approach for Selecting Relevant External Data (BASE): Application to a study of Long-Term Outcomes in a Hemophilia Gene Therapy Trial