Results 181 to 190 of about 158,038 (267)

From Linear Geometry to Nonlinear and Information-Geometric Settings in Test Theory: Bregman Projections as a Unifying Framework. [PDF]

Educ Psychol Meas
Zumbo BD.
europepmc   +1 more source

Quantum GraviElectro Dynamics

Annalen der Physik, Volume 538, Issue 1, January 2026.
The BRST invariant Lagrangian of the gravitationally interacting U(1)$U(1)$ gauge theory, namely the Quantum GraviElectro Dynamics (QGED). The Yan–Mills theory with the Hilbert–Einstein gravitational Lagrangian, namely the Yang–Mills–Utiyama (YMU) theory, is defined and quantised using the standard procedure. The theory is perturbatively renormalisable,
Yoshimasa Kurihara
wiley   +1 more source

Performance of optically tracked instrumented pointers: a systematic literature review. [PDF]

Biomed Eng Online
Rácz K, Seregély B, Kiss RM.
europepmc   +1 more source

Optimal Transport Autoregression to Forecast High‐Frequency Financial Data Distributions

Applied Stochastic Models in Business and Industry, Volume 42, Issue 1, January/February 2026.
ABSTRACT In this paper, we study the properties and performance of optimal transport autoregression in modeling and forecasting high‐frequency financial data distributions. We build on a class of univariate autoregressive transport models recently proposed in the literature (Zhu and Müller) where the distributional time series dynamics is modeled ...
Paolo Pagnottoni
wiley   +1 more source

ADM-like Hamiltonian formulation of gravity in the teleparallel geometry: derivation of constraint algebra [PDF]

, 2013
Andrzej Okołów
openalex   +1 more source

Three‐Way Data Analysis With Explainable Tucker3 Clustering (XT3Clus)

Applied Stochastic Models in Business and Industry, Volume 42, Issue 1, January/February 2026.
ABSTRACT In an era of increasingly complex data, three‐way arrays capturing information across units, variables and occasions are ubiquitous in fields from chemometrics to finance. However, extracting meaningful and interpretable patterns from such data remain a significant challenge.
Mariaelena Bottazzi Schenone, Tiziano Iannaccio, Ilaria Mozzetta, Maurizio Vichi   +3 more
wiley   +1 more source

Tsirelson bounds for quantum correlations with indefinite causal order. [PDF]

Nat Commun
Liu Z, Chiribella G.
europepmc   +1 more source

Using Hierarchical Bayesian Analysis to Identify At‐Risk Students in Engineering Mathematics Prerequisites

Computer Applications in Engineering Education, Volume 34, Issue 1, January 2026.
ABSTRACT Engineering educators need practical methods to identify which students are struggling and which course topics require additional instructional support. This study applies hierarchical Bayesian analysis to student performance data from the ASSISTments 2009 dataset containing 446,844 responses from 4151 students across 110 mathematical skills ...
Yiwei Sun
wiley   +1 more source

Poisson and coisotropic structures in derived algebraic geometry

, 2016
In this thesis, we define and study Poisson and coisotropic structures on derived stacks in the framework of derived algebraic geometry. We consider two possible presentations of Poisson structures of different flavour: the first one is purely algebraic, while the second is more geometric. We show that the two approaches are in fact equivalent. We also
openaire   +1 more source

PLNet: Persistent Laplacian neural network for protein-protein binding free energy prediction. [PDF]

Protein Sci
Xu X, Wang C, Wei GW, Chen J.
europepmc   +1 more source