Determining the utility of ultrafast nonlinear contrast enhanced and super resolution ultrasound for imaging microcirculation in the human small intestine

Kavli Affiliate: Biao Huang | First 5 Authors: Clotilde ViĆ©, Martina Tashkova, James Burn, Matthieu Toulemonde, Jipeng Yan | Summary: The regulation of intestinal blood flow is critical to gastrointestinal function. Imaging the intestinal mucosal micro-circulation in vivo has the potential to provide new insight into the gut physiology and pathophysiology. We aimed to determine […]


Continue.. Determining the utility of ultrafast nonlinear contrast enhanced and super resolution ultrasound for imaging microcirculation in the human small intestine

High Chern Number Quantum Anomalous Hall States in Haldane-Graphene Multilayers

Kavli Affiliate: Long Zhang | First 5 Authors: Yuejiu Zhao, Long Zhang, Fu-Chun Zhang, , | Summary: Quantum anomalous Hall (QAH) systems with high Chern number ($|C|>1$) are rare. This Letter introduces a Haldane-graphene multilayer heterostructure hosting QAH states with arbitrary Chern number. In a rhombohedral-stacked graphene $N$-layer, the Dirac points at $K_{pm}$ become $N^text{th}$-order […]


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Bounding Neyman-Pearson Region with $f$-Divergences

Kavli Affiliate: Cheng Peng | First 5 Authors: Andrew Mullhaupt, Cheng Peng, , , | Summary: The Neyman-Pearson region of a simple binary hypothesis testing is the set of points whose coordinates represent the false positive rate and false negative rate of some test. The lower boundary of this region is given by the Neyman-Pearson […]


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Convex Relaxation for Robust Vanishing Point Estimation in Manhattan World

Kavli Affiliate: Yi Zhou | First 5 Authors: Bangyan Liao, Zhenjun Zhao, Haoang Li, Yi Zhou, Yingping Zeng | Summary: Determining the vanishing points (VPs) in a Manhattan world, as a fundamental task in many 3D vision applications, consists of jointly inferring the line-VP association and locating each VP. Existing methods are, however, either sub-optimal […]


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Natural Language Generation in Healthcare: A Review of Methods and Applications

Kavli Affiliate: Cheng Peng | First 5 Authors: Mengxian Lyu, Xiaohan Li, Ziyi Chen, Jinqian Pan, Cheng Peng | Summary: Natural language generation (NLG) is the key technology to achieve generative artificial intelligence (AI). With the breakthroughs in large language models (LLMs), NLG has been widely used in various medical applications, demonstrating the potential to […]


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Global well-posedness in the critical Besov space of the skew mean curvature flow in $mathbb{R}^d: dgeq 4$

Kavli Affiliate: Yi Zhou | First 5 Authors: Ning-An Lai, Jie Shao, Yi Zhou, , | Summary: In this paper, we are devoted to studying the global regularity for the skew mean curvature flow with small initial data in $mathbb{R}^d, (dgeq 4)$. By using a new div-curl lemma which was first introduced by the third […]


Continue.. Global well-posedness in the critical Besov space of the skew mean curvature flow in $mathbb{R}^d: dgeq 4$

Global well-posedness in the critical Besov space of the skew mean curvature flow in $mathbb{R}^d: dgeq 4$

Kavli Affiliate: Yi Zhou | First 5 Authors: Ning-An Lai, Jie Shao, Yi Zhou, , | Summary: In this paper, we are devoted to studying the global regularity for the skew mean curvature flow with small initial data in $mathbb{R}^d, (dgeq 4)$. By using a new div-curl lemma which was first introduced by the third […]


Continue.. Global well-posedness in the critical Besov space of the skew mean curvature flow in $mathbb{R}^d: dgeq 4$

Unconstrained Large-scale 3D Reconstruction and Rendering across Altitudes

Kavli Affiliate: Cheng Peng | First 5 Authors: Neil Joshi, Joshua Carney, Nathanael Kuo, Homer Li, Cheng Peng | Summary: Production of photorealistic, navigable 3D site models requires a large volume of carefully collected images that are often unavailable to first responders for disaster relief or law enforcement. Real-world challenges include limited numbers of images, […]


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NeuRel-Attack: Neuron Relearning for Safety Disalignment in Large Language Models

Kavli Affiliate: Yi Zhou | First 5 Authors: Yi Zhou, Wenpeng Xing, Dezhang Kong, Changting Lin, Meng Han | Summary: Safety alignment in large language models (LLMs) is achieved through fine-tuning mechanisms that regulate neuron activations to suppress harmful content. In this work, we propose a novel approach to induce disalignment by identifying and modifying […]


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2D Active Brownian run-and-tumble particles moment analysis

Kavli Affiliate: Rudolf Podgornik | First 5 Authors: Aoran Sun, Da Wei, Yiyu Zhang, Fangfu Ye, Rudolf Podgornik | Summary: We study an active Brownian run-and-tumble particle (ABRTP) model, that consists of an active Brownian run state during which the active velocity of the particle diffuses on the unit circle, and a tumble state during […]


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