ABSTRACT This study examines how European automotive companies disclose circular economy (CE) information in light of the Corporate Sustainability Reporting Directive (CSRD) and the European Sustainability Reporting Standards (ESRS) E5. Using a mixed‐methods, data‐driven approach that combines keyword analysis and latent Dirichlet allocation (LDA ...
Dominika Hadro +4 more
wiley +1 more source
Circular Economy Pathways for Airport Climate Change Mitigation
ABSTRACT Airport operators face growing climate‐change pressures; the circular economy offers pathways to reduce impacts and recover resources. We examine how airport operators apply the circular economy in practice. We use an exploratory qualitative multicase design based on practitioner‐generated documents (e.g., press releases and sustainability ...
Michele Oppioli +3 more
wiley +1 more source
Abnormal Vibration Identification of Metro Tunnels on the Basis of the Spatial Correlation of Dynamic Strain from Dense Measurement Points of Distributed Sensing Optical Fibers. [PDF]
Han H, Cai X, Gao L.
europepmc +1 more source
Abstract We develop a delay‐aware estimation and control framework for a non‐isothermal axial dispersion tubular reactor modelled as a coupled parabolic‐hyperbolic PDE system with recycle‐induced state delay. The infinite‐dimensional dynamics are preserved without spatial discretization by representing the delay as a transport PDE and adopting a late ...
Behrad Moadeli, Stevan Dubljevic
wiley +1 more source
Identification of Static Loads in Wharf Mooring Cables Using the Influence Coefficient Method. [PDF]
Zhou J +5 more
europepmc +1 more source
Restricted Tweedie stochastic block models
Abstract The stochastic block model (SBM) is a widely used framework for community detection in networks, where the network structure is typically represented by an adjacency matrix. However, conventional SBMs are not directly applicable to an adjacency matrix that consists of nonnegative zero‐inflated continuous edge weights.
Jie Jian, Mu Zhu, Peijun Sang
wiley +1 more source
Experimental and numerical investigation of vibrations induced by manual demolition work in masonry buildings. [PDF]
La Scala A.
europepmc +1 more source
An observation‐driven state‐space model for claims size modelling
Abstract State‐space models are popular in econometrics. Recently, these models have gained some popularity in the actuarial literature. The best known state‐space models are of the Kalman‐filter type. These are called parameter‐driven because the observations do not impact the state‐space dynamics.
Jae Youn Ahn +2 more
wiley +1 more source
Prediction of mechanical performance in prestressed concrete continuous rigid-frame bridges using CatBoost. [PDF]
Li Q, Wang X, Ma X, Xu A.
europepmc +1 more source
Partial identification with categorical data and nonignorable missing outcomes
Abstract Nonignorable missing outcomes are common in real‐world datasets and often require strong parametric assumptions to achieve identification. These assumptions can be implausible or untestable, and so we may wish to forgo them in favour of partially identified models that narrow the set of a priori possible values to an identification region.
Daniel Daly‐Grafstein, Paul Gustafson
wiley +1 more source

