Bi-level Graph Learning Unveils Prognosis-Relevant Tumor Microenvironment Patterns in Breast Multiplexed Digital Pathology

Posted by dbos Hopkins

Kavli Affiliate: Jeremias Sulam | Authors: Zhenzhen Wang, Cesar A. Santa-Maria, Aleksander S. Popel and Jeremias Sulam | Summary: The tumor microenvironment is widely recognized for its central role in driving cancer progression and influencing prognostic outcomes. There have been increasing efforts dedicated to characterizing this complex and heterogeneous environment, including developing potential prognostic tools […]


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Connecting Lyman-$α$ and ionizing photon escape in the Sunburst Arc

Posted by dbos Chicago

Kavli Affiliate: Michael D. Gladders | First 5 Authors: M. Riley Owens, Keunho J. Kim, Matthew B. Bayliss, T. Emil Rivera-Thorsen, Keren Sharon | Summary: We investigate the Lyman-$alpha$ (Ly$alpha$) and Lyman continuum (LyC) properties of the Sunburst Arc, a $z=2.37$ gravitationally lensed galaxy with a multiply-imaged, compact region leaking LyC and a triple-peaked Ly$alpha$ […]


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A long-duration superflare on the K giant HD 251108

Posted by dbos MIT

Kavli Affiliate: Michael Fausnaugh | First 5 Authors: Hans Moritz Günther, Dheeraj Pasham, Alexander Binks, Stefan Czesla, Teruaki Enoto | Summary: Many giant stars are magnetically active, which causes rotational variability, chromospheric emission lines, and X-ray emission. Large outbursts in these emission features can set limits on the magnetic field strength and thus constrain the […]


Continue.. A long-duration superflare on the K giant HD 251108

Textless Streaming Speech-to-Speech Translation using Semantic Speech Tokens

Posted by dbos Stanford

Kavli Affiliate: Zeeshan Ahmed | First 5 Authors: Jinzheng Zhao, Niko Moritz, Egor Lakomkin, Ruiming Xie, Zhiping Xiu | Summary: Cascaded speech-to-speech translation systems often suffer from the error accumulation problem and high latency, which is a result of cascaded modules whose inference delays accumulate. In this paper, we propose a transducer-based speech translation model […]


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Reducing disorder in Ge quantum wells by using thick SiGe barriers

Posted by dbos Delft

Kavli Affiliate: Giordano Scappucci | First 5 Authors: Davide Costa, Lucas E. A. Stehouwer, Yi Huang, Sara Martí-Sánchez, Davide Degli Esposti | Summary: We investigate the disorder properties of two-dimensional hole gases in Ge/SiGe heterostructures grown on Ge wafers, using thick SiGe barriers to mitigate the influence of the semiconductor-dielectric interface. Across several heterostructure field […]


Continue.. Reducing disorder in Ge quantum wells by using thick SiGe barriers

Reducing disorder in Ge quantum wells by using thick SiGe barriers

Posted by dbos Delft

Kavli Affiliate: Giordano Scappucci | First 5 Authors: Davide Costa, Lucas E. A. Stehouwer, Yi Huang, Sara Martí-Sánchez, Davide Degli Esposti | Summary: We investigate the disorder properties of two-dimensional hole gases in Ge/SiGe heterostructures grown on Ge wafers, using thick SiGe barriers to mitigate the influence of the semiconductor-dielectric interface. Across several heterostructure field […]


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Beyond the Phase Ordering Problem: Finding the Globally Optimal Code w.r.t. Optimization Phases

Posted by dbos Peking

Kavli Affiliate: Ke Wang | First 5 Authors: Yu Wang, Hongyu Chen, Ke Wang, , | Summary: In this paper, we propose a new concept called textit{semantically equivalence} wrt textit{optimization phases} textit{(sep)}, which defines the set of programs a compiler considers semantically equivalent to the input using a set of optimization phases. We show both […]


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Solving the Phase Ordering Problem $ne$ Generating the Globally Optimal Code

Posted by dbos Peking

Kavli Affiliate: Ke Wang | First 5 Authors: Yu Wang, Hongyu Chen, Ke Wang, , | Summary: Phase ordering problem has been a long-standing challenge in compiler optimizations. Over the past four decades, a significant amount of effort has been devoted, and indeed, substantial progress has been made. However, in this paper, we raise questions […]


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How to evaluate your medical time series classification?

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Yihe Wang, Taida Li, Yujun Yan, Wenzhan Song, Xiang Zhang | Summary: Medical time series (MedTS) play a critical role in many healthcare applications, such as vital sign monitoring and the diagnosis of brain and heart diseases. However, the existence of subject-specific features poses unique challenges in […]


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Repurposing Foundation Model for Generalizable Medical Time Series Classification

Posted by dbos Berkeley

Kavli Affiliate: Xiang Zhang | First 5 Authors: Nan Huang, Haishuai Wang, Zihuai He, Marinka Zitnik, Xiang Zhang | Summary: Medical time series (MedTS) classification is critical for a wide range of healthcare applications such as Alzheimer’s Disease diagnosis. However, its real-world deployment is severely challenged by poor generalizability due to inter- and intra-dataset heterogeneity […]


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