Tootfinder

Photonic chip-based optical frequency division with PZT-integrated soliton microcombs
Ruxuan Liu, Mark W. Harrington, Shuman Sun, Fatemehsadat Tabatabaei, Samin Hanifi, Meiting Song, Kaikai Liu, Jiawei Wang, Haoran Chen, Zijiao Yang, Beichen Wang, Fateme Majdi, Paul A. Morton, Karl D. Nelson, Steve M. Bowers, Andreas Beling, Daniel J. Blumenthal, Xu Yi
https://…

Photonic chip-based optical frequency division with PZT-integrated soliton microcombs
Optical frequency division (OFD) produces low-noise microwave and millimeter-wave signals by transferring the exceptional stability of optical references to electronic frequency domains. Recent developments in integrated optical references and soliton microcombs have paved the way for miniaturizing OFD oscillators to chip scale. Critical to this realization is a rapid tunable frequency comb that is stabilized to the optical references, thereby coherently linking optical and electronic frequenci…

Last night I learned that California has fireflies. Microphotus angustus glows steadily and is more of a worm than a fly, at least how I saw it.

RNAMunin: A Deep Machine Learning Model for Non-coding RNA Discovery
Lauren Lui, Torben Nielsen
https://arxiv.org/abs/2507.11950 https://

RNAMunin: A Deep Machine Learning Model for Non-coding RNA Discovery
Functional annotation of microbial genomes is often biased toward protein-coding genes, leaving a vast, unexplored landscape of non-coding RNAs (ncRNAs) that are critical for regulating bacterial and archaeal physiology, stress response and metabolism. Identifying ncRNAs directly from genomic sequence is a paramount challenge in bioinformatics and biology, essential for understanding the complete regulatory potential of an organism. This paper presents RNAMunin, a machine learning (ML) model th…