Fine-tuning the basic forces of nature through the triple-alpha process
  in red giant stars
Neutrino Oscillations in Noisy Media
A Random Sample Partition Data Model for Big Data Analysis Holomorphic Quillen determinant line bundles on integral compact Kahler
  manifolds Classical Time Crystals Subspace stabilisers in hyperbolic lattices Estimating the Euclidean Quantum Propagator with Deep Generative
  Modelling of Feynman paths A stable discontinuous Galerkin method for the perfectly matched layer
  for elastodynamics in first order form Learning Stable Group Invariant Representations with Convolutional
  Networks M/F-Theory as Mf-Theory On single file and less dense processes Optimal steering of a linear stochastic system to a final probability
  distribution Scalable and Secure Aggregation in Distributed Networks Cohomologies of $n$-simplex relations Mumford-Shah and Potts Regularization for Manifold-Valued Data with
  Applications to DTI and Q-Ball Imaging Evolving symbolic density functionals A Generalization of the One-Dimensional Boson-Fermion Duality Through
  the Path-Integral Formalism Quantum phase transitions in the noncommutative Dirac Oscillator A Synthetic Perspective on $(\infty,1)$-Category Theory: Fibrational and
  Semantic Aspects MemeSequencer: Sparse Matching for Embedding Image Macros Machine learning methods for postprocessing ensemble forecasts of wind
  gusts: A systematic comparison Mitigating Multi-Stage Cascading Failure by Reinforcement Learning
nucl-th astro-ph hep-ph