Results 11 to 20 of about 67,999 (265)
Exact SMEFT formulation and expansion to O $$ \mathcal{O} $$ (v 4/Λ4)
The Standard Model Effective Field Theory (SMEFT) theoretical framework is increasingly used to interpret particle physics measurements and constrain physics beyond the Standard Model.
Chris Hays +3 more
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Leading all-loop quantum contribution to the effective potential in general scalar field theory
The RG equation for the effective potential in the leading log (LL) approximation is constructed which is valid for an arbitrary scalar field theory in 4 dimensions.
D. I. Kazakov +2 more
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Generalized linear model for partially ordered data [PDF]
Within the rich literature on generalized linear models, substantial efforts have been devoted to models for categorical responses that are either completely ordered or completely unordered. Few studies have focused on the analysis of partially ordered outcomes, which arise in practically every area of study, including medicine, the social sciences ...
Qiang, Zhang, Edward Haksing, Ip
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Phylomitogenomics bolsters the high-level classification of Demospongiae (phylum Porifera).
Class Demospongiae is the largest in the phylum Porifera (Sponges) and encompasses nearly 8,000 accepted species in three subclasses: Keratosa, Verongimorpha, and Heteroscleromorpha.
Dennis V Lavrov +6 more
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On some generalized inverses and partial orders in ∗-rings
Let [Formula: see text] be a unital ring with involution. The notions of 1MP-inverse and MP1-inverse are extended from [Formula: see text], the set of all [Formula: see text] matrices over [Formula: see text], to the set [Formula: see text] of all Moore–Penrose invertible elements in [Formula: see text].
Marovt, Janko +2 more
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We consider the problems of calculating the dynamical order parameter two-point function at finite temperatures and the one-point function after a quantum quench in the transverse field Ising chain.
Etienne Granet, Maurizio Fagotti, Fabian H. L. Essler
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Physics-informed neural networks (PINNs) leverage data and knowledge about a problem. They provide a nonnumerical pathway to solving partial differential equations by expressing the field solution as an artificial neural network.
Luis Mandl +3 more
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Partial-order reduction for general state exploring algorithms [PDF]
An important component of partial-order based reduction algorithms is the condition that prevents action ignoring, commonly known as the cycle proviso. In this paper we give a new version of this proviso that is applicable to a general search algorithm skeleton also known as the General State Expanding Algorithm (GSEA).
Dragan Bosnacki +2 more
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This article investigates the semi-analytical method coupled with a new hybrid fuzzy integral transform and the Adomian decomposition method via the notion of fuzziness known as the Elzaki Adomian decomposition method (briefly, EADM).
Saima Rashid +2 more
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Partially-Ordered (Branching) Generalized Quantifiers: A General Definition [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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