Results 101 to 110 of about 152 (143)

Hitchhiker's Guide to the Swampland: The Cosmologist's Handbook to the String‐Theoretical Swampland Programme

open access: yesFortschritte der Physik, Volume 74, Issue 4, April 2026.
Abstract String theory has strong implications for cosmology, implying the absence of a cosmological constant, ruling out single‐field slow‐roll inflation, and that black holes decay. The origins of these statements are elucidated within the string‐theoretical swampland programme.
Kay Lehnert
wiley   +1 more source

Testing Hypotheses of Covariate Effects on Topics of Discourse

open access: yesStatistical Analysis and Data Mining: An ASA Data Science Journal, Volume 19, Issue 2, April 2026.
ABSTRACT We introduce an approach to topic modeling with document‐level covariates that remains tractable in the face of large text corpora. This is achieved by de‐emphasizing the role of parameter estimation in an underlying probabilistic model, assuming instead that the data come from a fixed but unknown distribution whose statistical functionals are
Gabriel Phelan, David A. Campbell
wiley   +1 more source

The second moment of sums of Hecke eigenvalues II

open access: yesJournal of the London Mathematical Society, Volume 113, Issue 4, April 2026.
Abstract Let f$f$ be a holomorphic Hecke cusp form of weight k$k$ for SL2(Z)$\mathrm{SL}_2(\mathbb {Z})$, and let (λf(n))n⩾1$(\lambda _f(n))_{n\geqslant 1}$ denote its sequence of normalised Hecke eigenvalues. We compute the first and second moments of the sums S(x,f)=∑x⩽n⩽2xλf(n)$\mathcal {S}(x,f)=\sum _{x\leqslant n\leqslant 2x} \lambda _f(n)$, on ...
Ned Carmichael
wiley   +1 more source

Crossover operators for molecular graphs with an application to virtual drug screening. [PDF]

open access: yesJ Cheminform
Domschke N   +7 more
europepmc   +1 more source

Machine Learning Prediction of Laccase‐Catalyzed Oxidation of Aromatic Compounds Using Curated Enzyme‐Specific Datasets

open access: yesJournal of Computational Chemistry, Volume 47, Issue 7, March 15, 2026.
We curate laccase‐substrate datasets and train five classifiers, from regularized logistic regression to tree‐based models and ChemBERTa, to predict whether a substrate will be oxidized. Feature importance and attention maps projected onto molecular substructures make the predictions interpretable and useful for pre‐screening before the bench ...
Yulia Kulagina   +3 more
wiley   +1 more source

EDGE EXCHANGEABLE MODELS FOR INTERACTION NETWORKS. [PDF]

open access: yesJ Am Stat Assoc, 2018
Crane H, Dempsey W.
europepmc   +1 more source

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