1. First characterization of the emission behavior of Mrk 421 from radio to very high-energy gamma rays with simultaneous X-ray polarization measurements 

   Abe S.; Abhir J.; Acciari V.A.; et al. (2024)

   Astronomy & Astrophysics

   Aims. We have performed the first broadband study of Mrk 421 from radio to TeV gamma rays with simultaneous measurements of the X-ray polarization from IXPE. Methods. The data were collected as part of an extensive multiwavelength campaign carried out between May and June 2022 using MAGIC, Fermi-LAT, NuSTAR, XMM-Newton, Swift, and several optical and radio telescopes to complement IXPE data. Results. During the IXPE exposures, the measured ...

   Journal Article

2. Stable water isotopes reveal the onset of bud dormancy in temperate trees, whereas water content is a better proxy for dormancy release 

   Walde M.G.; Wenden B.; Chuine I.; et al. (2024)

   Tree Physiology

   Earlier spring growth onset in temperate forests is a visible effect of global warming that alters global water and carbon cycling. Consequently, it becomes crucial to accurately predict the future spring phenological shifts in vegetation under different climate warming scenarios. However, current phenological models suffer from a lack of physiological insights of tree dormancy and are rarely experimentally validated. Here, we sampled ...

   Journal Article

3. Effects of nucleation at a first-order transition between two superconducting phases: Application to CeRh2As2 

   Szabó A.L.; Fischer M.H.; Sigrist M. (2024)

   Physical Review Research

   Recent experiments observed a phase transition within the superconducting regime of the heavy-fermion system CeRh2As2 when subjected to a c-axis magnetic field. This phase transition has been interpreted as a parity switching from even to odd parity as the field is increased, and is believed to be of first order. If correct, this scenario provides a unique opportunity to study the phenomenon of local nucleation around inhomogeneities in ...

   Journal Article

4. Slicing, Chatting, and Refining: A Concept-Based Approach for Machine Learning Model Validation with ConceptSlicer 

   Zhang X.; Piazentin Ono J.H.; He W.; et al. (2024)

   ACM International Conference Proceeding Series

   As machine learning (ML) gains wider adoption in real-world applications, the validation of ML models becomes fundamental for its productization, particularly in safety-critical applications. Recently, data slice finding has emerged as a popular method for validating ML models, but it requires additional metadata or cross-modal embeddings for the slices to be interpretable. We propose ConceptSlicer, an integrated workflow that facilitates ...

   Conference Paper

5. Auto-FP: An Experimental Study of Automated Feature Preprocessing for Tabular Data 

   Qi D.; Peng J.; He Y.; et al. (2023)

   Advances in Database Technology - EDBT

   Classical machine learning models, such as linear models and tree-based models, are widely used in industry. These models are sensitive to data distribution, thus feature preprocessing, which transforms features from one distribution to another, is a crucial step to ensure good model quality. Manually constructing a feature preprocessing pipeline is challenging because data scientists need to make difficult decisions about which preprocessors ...

   Conference Paper

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