Tomographic constraint on anisotropic cosmic birefringence

Kavli Affiliate: Toshiya Namikawa | First 5 Authors: Toshiya Namikawa, , , , | Summary: We for the first time constrain anisotropic cosmic birefringence generated at reionization using Planck PR4 polarization data. Several recent analyses of WMAP and Planck polarization data have found a tantalizing hint of isotropic cosmic birefringence. Ongoing and future CMB experiments […]


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Classification of radio backgrounds at cosmic dawn and 21-cm signal confirmation using neural networks

Kavli Affiliate: George Efstathiou | First 5 Authors: Sudipta Sikder, Anastasia Fialkov, Rennan Barkana, , | Summary: Several ongoing and upcoming radio telescopes aim to detect either the global 21-cm signal or the 21-cm power spectrum. The extragalactic radio background, as detected by ARCADE-2 and LWA-1, suggests a strong radio background from cosmic dawn, which […]


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Direction Modulation Design for UAV Assisted by IRS with discrete phase shift

Kavli Affiliate: Wei Gao | First 5 Authors: Maolin Li, Wei Gao, Qi Wu, Feng Shu, Cunhua Pan | Summary: As a physical layer security technology, directional modulation (DM) can be combined with intelligent reflect-ing surface (IRS) to improve the security of drone communications. In this paper, a directional modulation scheme assisted by the IRS […]


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3D printed mesoporous superconductors with periodic order on three length scales and enhanced properties via block copolymer directed self-assembly

Kavli Affiliate: Ulrich B. Wiesner | First 5 Authors: Fei Yu, R. Paxton Thedford, Thomas A. Tartaglia, Sejal S. Sheth, Guillaume Freychet | Summary: Solution-based soft matter self-assembly (SA) promises unique materials properties from approaches including additive manufacturing/three-dimensional (3D) printing. We report direct ink writing derived, hierarchically porous transition metal nitride superconductors (SCs) and precursor […]


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Discovering Cognitive Strategies with Tiny Recurrent Neural Networks

Kavli Affiliate: Marcelo Mattar | Authors: Li Ji-An, Marcus K Benna and Marcelo G Mattar | Summary: Normative modeling frameworks such as Bayesian inference and reinforcement learning provide valuable insights into the fundamental principles governing adaptive behavior. While these frameworks are valued for their simplicity and interpretability, their reliance on few parameters often limits their […]


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Complete sequencing of ape genomes

Kavli Affiliate: Erich Jarvis | Authors: DongAhn Yoo, Arang Rhie, Prajna Hebbar, Francesca Antonacci, Glennis A. Logsdon, Steven J. Solar, Dmitry Antipov, Brandon D. Pickett, Yana Safonova, Francesco Montinaro, Yanting Luo, Joanna Malukiewicz, Jessica M. Storer, Jiadong Lin, Abigail N. Sequeira, Riley J. Mangan, Glenn Hickey, Graciela Monfort Anez, Parithi Balachandran, Anton Bankevich, Christine R. […]


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Why do we have so many excitatory neurons?

Kavli Affiliate: Carey Priebe and Joshua Vogelstein | Authors: Qingyang Wang, Albert Cardona, Marta Zlatic, Joshua Vogelstein and Carey Priebe | Summary: Approximately four in five neurons are excitatory. This is true across functional regions and species. Why do we have so many excitatory neurons? Little is known. Here we provide a normative answer to […]


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Gravitational Particle Production of Scalars: Analytic and Numerical Approaches Including Early Reheating

Kavli Affiliate: Edward W. Kolb | First 5 Authors: Leah Jenks, Edward W. Kolb, Keyer Thyme, , | Summary: Cosmological gravitational particle production (GPP) is a generic mechanism by which particles are produced during the inflationary epoch. In this work we consider the GPP of massive scalars in an effort to fully understand the spectrum […]


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Quantifying transcriptome turnover on phylogenies by modeling gene expression as a binary trait

Kavli Affiliate: Li Zhao | Authors: Ammon Thompson, Michael R. May, Ben Hopkins, Nerisa Riedl, Olga Barmina, Benjamin J. Liebeskind, Li Zhao, David Begun and Artyom Kopp | Summary: Changes in gene expression are a key driver of phenotypic evolution, leading to a persistent interest in the evolution of transcriptomes. Traditionally, gene expression is modeled […]


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

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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