The diversity of resilience patterns of natural populations decreases closer to human activities
Abstract Quantifying the resilience of wild populations is essential to predict their viability in the Anthropocene. Many species have become threatened and even gone extinct because they have failed to cope with human disturbances. We use demographic data for 956 plant and animal populations to assess their responses to increasing levels of human ...
Thomas Merrien +4 more
wiley +1 more source
Software Choice Matters in Mutational Signature Refitting. [PDF]
Sliacky J, Kovacova M.
europepmc +1 more source
Newsletter Winter 2018 / Frobenius-Institut für kulturanthropologische Forschung
Tätigkeiten des Frobenius-Instituts im Herbst/Winter 2018A short overview of the Institute's activities in autumn and winter ...
Frobenius-Institut
core
Boundedness of Composition Operators in Orlicz–Morrey Spaces
ABSTRACT In this paper, we investigate the necessary and sufficient conditions for the boundedness of composition operators on Orlicz–Morrey spaces. Our results encompass Lebesgue and generalized Morrey spaces as special cases. In addition, we characterize the boundedness of composition operators on weak Orlicz–Morrey spaces, which include the Orlicz ...
Masahiro Ikeda +2 more
wiley +1 more source
Autoencoder Denoising for Network-Based Spatial Transcriptomics Data with Applications for Cell Signaling Estimation. [PDF]
Javaid A, Frost HR.
europepmc +1 more source
Low latency and generalizable dynamic MRI via L+S alternating gradient descent and minimization
Abstract Background Dynamic MRI reconstruction often requires accurate, fast, and low‐latency algorithms that generalize across multiple applications, sampling schemes, and rates, without problem‐specific parameter tuning. Existing methods either lack generalizability or require extensive parameter adjustment.
Silpa Babu +2 more
wiley +1 more source
Bayesian brain edge-based connectivity (BBeC): a Bayesian model for brain edge-based connectivity inference. [PDF]
Li Z, Zeng C, Ge S.
europepmc +1 more source
Asymptotic independence of point process and Frobenius norm of a large sample covariance matrix
A joint limit theorem for the point process of the off-diagonal entries of a sample covariance matrix S, constructed from n observations of a p-dimensional random vector with iid components, and the Frobenius norm of S is proved.
Kleemann, Carolin, Heiny, Johannes,
core
Feature‐Level Analysis and Adversarial Transfer in Rotationally Equivariant Quantum Machine Learning
A detailed feature‐level analysis reveals how symmetry‐dependent features relate to adversarial transfer robustness in equivariant quantum machine learning models, paving the way for the design of future models with improved robustness. ABSTRACT Group‐equivariant quantum models are designed to exploit symmetry and can improve trainability, but it ...
Maureen Krumtünger
wiley +1 more source
Decoupling Size from Shape: Cellular Sheaf Laplacians as Ligand Geometry Descriptors for Binding Affinity Prediction. [PDF]
Akgüller Ö, Balcı MA, Cioca G.
europepmc +1 more source

