1. Catalytic and noncatalytic functions of DNA polymerase κ in translesion DNA synthesis 

   Selles-Baiget, Selene; Ambjorn, Sara M.; Carli, Alberto; et al. (2024)

   Nature Structural & Molecular Biology

   Translesion DNA synthesis (TLS) is a cellular process that enables the bypass of DNA lesions encountered during DNA replication and is emerging as a primary target of chemotherapy. Among vertebrate DNA polymerases, polymerase kappa (Pol kappa) has the distinctive ability to bypass minor groove DNA adducts in vitro. However, Pol kappa is also required for cells to overcome major groove DNA adducts but the basis of this requirement is ...

   Journal Article

2. Wing-strain-based flight control of flapping-wing drones through reinforcement learning 

   Kim, Taewi; Hong, Insic; Im, Sunghoon; et al. (2024)

   NATURE MACHINE INTELLIGENCE

   Although drone technology has advanced rapidly, replicating the dynamic control and wind-sensing abilities of biological flight is still beyond reach. Biological studies reveal that insect wings are equipped with mechanoreceptors known as campaniform sensilla, which detect complex aerodynamic loads critical for flight agility. By leveraging robotic experiments designed to mimic these biological systems, we confirm that wing strain provides ...

   Journal Article

3. Controllable Neural Symbolic Regression 

   Bendinelli, Tommaso; Biggio, Luca; Kamienny, Pierre-Alexandre (2023)

   Proceedings of Machine Learning Research

   In symbolic regression, the goal is to find an analytical expression that accurately fits experimental data with the minimal use of mathematical symbols such as operators, variables, and constants. However, the combinatorial space of possible expressions can make it challenging for traditional evolutionary algorithms to find the correct expression in a reasonable amount of time. To address this issue, Neural Symbolic Regression (NSR) ...

   Conference Paper

4. Rasmussen invariants of Whitehead doubles and other satellites 

   Lewark, Lukas; Zibrowius, Claudius (2024)

   Journal für die reine und angewandte Mathematik

   We prove formulae for the F-2-Rasmussen invariant of satellite knots of patterns with wrapping number 2, using the multicurve technology for Khovanov and Bar-Natan homology developed by Kotelskiy, Watson, and the second author. A new concordance homomorphism, which is independent of the Rasmussen invariant, plays a central role in these formulae. We also explore whether similar formulae hold for the Ozsvath-Szabo invariant tau.

   Journal Article

5. Tailoring Risk Prediction Models to Local Populations 

   Zinzuwadia, Aniket N.; Mineeva, Olga; Li, Chunying; et al. (2024)

   JAMA CARDIOLOGY

   Importance Risk estimation is an integral part of cardiovascular care. Local recalibration of guideline-recommended models could address the limitations of existing tools. Objective To provide a machine learning (ML) approach to augment the performance of the American Heart Association's Predicting Risk of Cardiovascular Disease Events (AHA-PREVENT) equations when applied to a local population while preserving clinical interpretability. ...

   Journal Article

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