Kavli Affiliate: Terrence Sejnowski | Authors: Antonio Pinto-Duarte, Katharine Bogue, Terrence J. Sejnowski and Shyam Srinivasan | Summary: The organizational principles of glia remain largely unknown despite their vital role in nervous system function. Previous work has shown that the number of glia per unit volume of neocortex is constant across mammalian species. We hypothesize […]
Kavli Affiliate: Su Guo | Authors: Jiale Xu, Romelo Casanave, Apurva S Chitre, Qiyang Wang, Khai-Minh Nguyen, Chiara Blake, Mahendra Wagle, Riyan Cheng, Oksana Polesskaya, Abraham A Palmer and Su Guo | Summary: Behavioral diversity is critical for population fitness. Individual differences in risk-taking are observed across species, but underlying genetic mechanisms and conservation are […]
Kavli Affiliate: Ronald Remillard | First 5 Authors: Muryel Guolo, Dheeraj R. Pasham, Michal Zajaček, Eric R. Coughlin, Suvi Gezari | Summary: Galactic nuclei showing recurrent phases of activity and quiescence have recently been discovered, with recurrence times as short as a few hours to a day — known as quasi-periodic X-ray eruption (QPE) sources […]
Kavli Affiliate: Menno Veldhorst | First 5 Authors: Davide Degli Esposti, Lucas E. A. Stehouwer, Önder Gül, Nodar Samkharadze, Corentin Déprez | Summary: The electrical characterisation of classical and quantum devices is a critical step in the development cycle of heterogeneous material stacks for semiconductor spin qubits. In the case of silicon, properties such as […]
Kavli Affiliate: Birgitta Whaley | First 5 Authors: Zeng-Zhao Li, K. Birgitta Whaley, , , | Summary: Emulation of energy transfer processes in natural systems on quantum platforms can further our understanding of complex dynamics in nature. One notable example is the demonstration of vibrationally assisted energy transfer (VAET) on a trapped-ion quantum emulator, which […]
Kavli Affiliate: Ke Wang | First 5 Authors: Ke Wang, Zanting Ye, Xiang Xie, Haidong Cui, Tao Chen | Summary: Accurate segmentation of clustered microcalcifications in mammography is crucial for the diagnosis and treatment of breast cancer. Despite exhibiting expert-level accuracy, recent deep learning advancements in medical image segmentation provide insufficient contribution to practical applications, […]
Kavli Affiliate: Ke Wang | First 5 Authors: Ke Wang, Zanting Ye, Xiang Xie, Haidong Cui, Tao Chen | Summary: Accurate segmentation of clustered microcalcifications in mammography is crucial for the diagnosis and treatment of breast cancer. Despite exhibiting expert-level accuracy, recent deep learning advancements in medical image segmentation provide insufficient contribution to practical applications, […]