Epigenetic mechanisms governing cell type specific somatic expansion and toxicity in Huntington’s disease

Kavli Affiliate: Nathaniel Heintz | Authors: Matthew Baffuto, Kert Mätlik, Isaac Ilyashov, Maria Esterlita Siantoputri, Hasnahana Chetia, Yurie Harada, Erika Sipos, Paul Darnell, Laura Kus, Thomas Carroll, Douglas Barrows, Christina Pressl, Nicholas Didkovsky and Nathaniel Heintz | Summary: Huntington’s disease (HD) is characterized by neuronal dysfunction and degeneration that varies markedly by brain region and […]


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Evolution of star clusters with initial bulk rotation via N-body simulations

Kavli Affiliate: Rainer Spurzem | First 5 Authors: Abylay Bissekenov, Xiaoying Pang, Albrecht Kamlah, M. B. N. Kouwenhoven, Rainer Spurzem | Summary: Young star clusters can inherit bulk rotation from the molecular clouds from which they have formed. This rotation can affect the long-term evolution of a star cluster and its constituent stellar populations. In […]


Continue.. Evolution of star clusters with initial bulk rotation via N-body simulations

Evolution of star clusters with initial bulk rotation via N-body simulations

Kavli Affiliate: Rainer Spurzem | First 5 Authors: Abylay Bissekenov, Xiaoying Pang, Albrecht Kamlah, M. B. N. Kouwenhoven, Rainer Spurzem | Summary: Young star clusters can inherit bulk rotation from the molecular clouds from which they have formed. This rotation can affect the long-term evolution of a star cluster and its constituent stellar populations. In […]


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Nonperturbative Quantum Gravity in a Closed Lorentzian Universe

Kavli Affiliate: Yasunori Nomura | First 5 Authors: Yasunori Nomura, Tomonori Ugajin, , , | Summary: We study how meaningful physical predictions can arise in nonperturbative quantum gravity in a closed Lorentzian universe. In such settings, recent developments suggest that the quantum gravitational Hilbert space is one-dimensional and real for each $alpha$-sector, as induced by […]


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Nonperturbative Quantum Gravity in a Closed Lorentzian Universe

Kavli Affiliate: Yasunori Nomura | First 5 Authors: Yasunori Nomura, Tomonori Ugajin, , , | Summary: We study how meaningful physical predictions can arise in nonperturbative quantum gravity in a closed Lorentzian universe. In such settings, recent developments suggest that the quantum gravitational Hilbert space is one-dimensional and real for each $alpha$-sector, as induced by […]


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Hybrid RIS-Enhanced ISAC Secure Systems: Joint Optimization in the Presence of an Extended Target

Kavli Affiliate: Long Zhang | First 5 Authors: Yu Yao, Junhao Zhang, Pu Miao, Long Zhang, Gaojie Chen | Summary: Unlike the conventional fully-passive and fully-active reconfigurable intelligent surfaces (RISs), a hybrid RIS consisting of active and passive reflection units has recently been concerned, which can exploit their integrated advantages to alleviate the RIS-induced path […]


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Disentangling hierarchical relaxations in glass formers via dynamic eigenmodes

Kavli Affiliate: Yi Zhou | First 5 Authors: Wensi Sun, Yanshuang Chen, Wencheng Ji, Yi Zhou, Hua Tong | Summary: Hierarchical dynamics in glass-forming systems span multiple timescales, from fast vibrations to slow structural rearrangements, appearing in both supercooled fluids and glassy states. Understanding how these diverse processes interact across timescales remains a central challenge. […]


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DocMMIR: A Framework for Document Multi-modal Information Retrieval

Kavli Affiliate: Yi Zhou | First 5 Authors: Zirui Li, Siwei Wu, Xingyu Wang, Yi Zhou, Yizhi Li | Summary: The rapid advancement of unsupervised representation learning and large-scale pre-trained vision-language models has significantly improved cross-modal retrieval tasks. However, existing multi-modal information retrieval (MMIR) studies lack a comprehensive exploration of document-level retrieval and suffer from […]


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DocMMIR: A Framework for Document Multi-modal Information Retrieval

Kavli Affiliate: Yi Zhou | First 5 Authors: Zirui Li, Siwei Wu, Xingyu Wang, Yi Zhou, Yizhi Li | Summary: The rapid advancement of unsupervised representation learning and large-scale pre-trained vision-language models has significantly improved cross-modal retrieval tasks. However, existing multi-modal information retrieval (MMIR) studies lack a comprehensive exploration of document-level retrieval and suffer from […]


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Sparse-to-Dense: A Free Lunch for Lossless Acceleration of Video Understanding in LLMs

Kavli Affiliate: Wei Gao | First 5 Authors: Xuan Zhang, Cunxiao Du, Sicheng Yu, Jiawei Wu, Fengzhuo Zhang | Summary: Due to the auto-regressive nature of current video large language models (Video-LLMs), the inference latency increases as the input sequence length grows, posing challenges for the efficient processing of video sequences that are usually very […]


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