On the evolution of the observed Mass-to-Length relationship for star-forming filaments

Kavli Affiliate: Susan E. Clark | First 5 Authors: Jiancheng Feng, Rowan J. Smith, Alvaro Hacar, Susan E. Clark, Daniel Seifried | Summary: The interstellar medium is threaded by a hierarchy of filaments from large scales (~ 100 pc) to small scales (~ 0.1pc). The masses and lengths of these nested structures may reveal important […]


Continue.. On the evolution of the observed Mass-to-Length relationship for star-forming filaments

A Novel Paradigm in Solving Multiscale Problems

Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Zheng Li, Pengyu Lai, Rui Wang, Di Yang | Summary: Multiscale phenomena manifest across various scientific domains, presenting a ubiquitous challenge in accurately and effectively simulating multiscale dynamics in complex systems. In this paper, a novel decoupling solving paradigm is proposed through modelling large-scale dynamics […]


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Insights into Multiscale Complexity: from Macroscopic Patterns to Microscopic Simulations via Deep Learning

Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Zheng Li, Pengyu Lai, Rui Wang, Di Yang | Summary: Multiscale phenomena manifest across various scientific domains, presenting a ubiquitous challenge in accurately and effectively simulating multiscale dynamics in complex systems. In this paper, a novel decoupling solving mode is proposed through modelling large-scale dynamics […]


Continue.. Insights into Multiscale Complexity: from Macroscopic Patterns to Microscopic Simulations via Deep Learning

Multiscale Modelling with Physics-informed Neural Network: from Large-scale Dynamics to Small-scale Predictions in Complex Systems

Kavli Affiliate: Jing Wang | First 5 Authors: Jing Wang, Zheng Li, Pengyu Lai, Rui Wang, Di Yang | Summary: Multiscale phenomena manifest across various scientific domains, presenting a ubiquitous challenge in accurately and effectively predicting multiscale dynamics in complex systems. In this paper, a novel decoupling solving mode is proposed through modelling large-scale dynamics […]


Continue.. Multiscale Modelling with Physics-informed Neural Network: from Large-scale Dynamics to Small-scale Predictions in Complex Systems

FM-Fusion: Instance-aware Semantic Mapping Boosted by Vision-Language Foundation Models

Kavli Affiliate: Ke Wang | First 5 Authors: Chuhao Liu, Ke Wang, Jieqi Shi, Zhijian Qiao, Shaojie Shen | Summary: Semantic mapping based on the supervised object detectors is sensitive to image distribution. In real-world environments, the object detection and segmentation performance can lead to a major drop, preventing the use of semantic mapping in […]


Continue.. FM-Fusion: Instance-aware Semantic Mapping Boosted by Vision-Language Foundation Models

FM-Fusion: Instance-aware Semantic Mapping Boosted by Vision-Language Foundation Models

Kavli Affiliate: Ke Wang | First 5 Authors: Chuhao Liu, Ke Wang, Jieqi Shi, Zhijian Qiao, Shaojie Shen | Summary: Semantic mapping based on the supervised object detectors is sensitive to image distribution. In real-world environments, the object detection and segmentation performance can lead to a major drop, preventing the use of semantic mapping in […]


Continue.. FM-Fusion: Instance-aware Semantic Mapping Boosted by Vision-Language Foundation Models

Gamma-ray Bursts as Distance Indicators by a Statistical Learning Approach

Kavli Affiliate: Vahe Petrosian | Summary:Gamma-ray bursts (GRBs) can be probes of the early universe, but currently, only 26% of GRBs observed by the Neil Gehrels Swift Observatory GRBs have known redshifts ($z$) due to observational limitations. To address this, we estimated the GRB redshift (distance) via a supervised statistical learning model that uses optical […]


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Predictive Sequence Learning in the Hippocampal Formation

Kavli Affiliate: Terrence Sejnowski | Authors: Yusi Chen, Huanqiu Zhang, Mia Cameron and Terrence J Sejnowski | Summary: The hippocampus receives sequences of sensory inputs from the cortex during exploration and encodes the sequences with millisecond precision. We developed a predictive autoencoder model of the hippocampus including the trisynaptic and monosynaptic circuits from the entorhinal […]


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Substrate stiffness modulates the emergence and magnitude of senescence phenotypes

Kavli Affiliate: Denis Wirtz | Authors: Bartholomew Starich, Fan Yang, Derin Tanrioven, Heng-Chung Kung, Joanne Baek, Praful R. Nair, Pratik Kamat, Nico Macaluso, Joon Eoh, Kyu Sang Han, Luo Gu, Sean Sun, Pei-Hsun Wu, Denis Wirtz and Jude M. Phillip | Summary: Cellular senescence is a major driver of aging and disease. Here we show […]


Continue.. Substrate stiffness modulates the emergence and magnitude of senescence phenotypes