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Computational design of intrinsically disordered proteins
Giulio Tesei, Francesco Pesce, Kresten Lindorff-Larsen
https://arxiv.org/abs/2509.12460 https://a…

Computational design of intrinsically disordered proteins
Protein design has the potential to revolutionize biotechnology and medicine. While most efforts have focused on proteins with well-defined structures, increased recognition of the functional significance of intrinsically disordered regions, together with improvements in their modeling, has paved the way to their computational de novo design. This review summarizes recent advances in engineering intrinsically disordered regions with tailored conformational ensembles, molecular recognition, and …

Inside the Stagnation Radius of the Nearest Billion-Solar-Mass Black Hole
J. M. Wrobel, D. W. Pesce, K. E. Nyland
https://arxiv.org/abs/2508.07042 https://…

Inside the Stagnation Radius of the Nearest Billion-Solar-Mass Black Hole
We used the NSF Jansky Very Large Array at a frequency $ν=$ 22\,GHz to study the nearest billion-solar-mass black hole, in the early-type galaxy NGC\,3115 at a distance of 9.7\,Mpc. We localize a faint continuum nucleus, with flux density $S_{\rm 22\,GHz} = 48.2\pm6.4\,μ$Jy, to a FWHM diameter $d_{\rm 22\,GHz} <$ 59\,mas (2.8\,pc). We find no evidence for adjacent emission within a stagnation region of radius $R_{\rm sta} \sim$ 360\,mas (17\,pc) identified in a recent hydrodynamic simulation …

Adaptive Knowledge Distillation for Device-Directed Speech Detection
Hyung Gun Chi, Florian Pesce, Wonil Chang, Oggi Rudovic, Arturo Argueta, Stefan Braun, Vineet Garg, Ahmed Hussen Abdelaziz
https://arxiv.org/abs/2508.02801

Adaptive Knowledge Distillation for Device-Directed Speech Detection
Device-directed speech detection (DDSD) is a binary classification task that separates the user's queries to a voice assistant (VA) from background speech or side conversations. This is important for achieving naturalistic user experience. To this end, we propose knowledge distillation (KD) to enhance DDSD accuracy while ensuring efficient deployment. Specifically, we introduce a novel adaptive KD method that transfers knowledge from general representations of an ASR large pre-trained acoustic …