Results 181 to 190 of about 73,349 (260)
ABSTRACT This study examines the impact of EU Directive 2014/95/EU (NFRD) on the Environmental, Social and Governance (ESG) performance of EU‐listed companies, focusing on variations across ESG dimensions and national institutional contexts. Using a dataset of 19,036 observations from 2010 to 2022, we apply a time‐varying Difference‐in‐Differences ...
Yuqing Xiao, Antonio Somoza
wiley +1 more source
An extended exponentiated F distribution with theoretical properties and application to lung survival analysis. [PDF]
Aldhufairi FAA.
europepmc +1 more source
Climate Risk and Real Estate Markets in the EU: Institutional Control Through Regulation
ABSTRACT Climate change is increasingly reshaping the economic foundations of asset markets, yet its implications for the estate sector remain unevenly understood, particularly when institutional and financial mechanisms mediate risk transmission. While a growing body of evidence links climate vulnerability to property valuation and market behaviour ...
Qiulin Yang +4 more
wiley +1 more source
Whole Genome Sequence Analysis of Weight Loss in 16 972 Participants With COPD Reveals Novel Risk Loci in DRAIC and RFX3. [PDF]
Chiles JW +23 more
europepmc +1 more source
Abstract Applying a single parameter set to describe complex mammalian kinetics often is too simplistic, as it fails to capture sensitive cell‐to‐environment interactions that may be exploited to optimize production performance. To resolve this time dependency, intra‐experimental parameter shifts as part of design of dynamic experiments (DoDE) can be ...
Samuel Kienzle +7 more
wiley +1 more source
Thyroid-metabolic interactions in pediatric epilepsy: insights from central sensitivity indices and peripheral hormone markers. [PDF]
Calcaterra V +5 more
europepmc +1 more source
Implementation of Machine Learning Models to Predict Functionality of Pea Flour From Its Composition
ABSTRACT Background and Objectives The goal of this research was to examine the relationship between the composition and functionality of pea flour using the following machine learning algorithms: linear regression, partial least squares regression (PLSR), Gaussian process regression (GPR), support vector regression, gradient‐boosted decision trees ...
Colten N. Nickerson +7 more
wiley +1 more source
DP5 without DFT: uncertainty-calibrated graph neural net accelerates structure confirmation <i>via</i> NMR. [PDF]
Kotlyarov R, Howarth A, Goodman JM.
europepmc +1 more source
Aufgrund überlagerter oder konkurrierender Mechanismen sind relevante Wechselwirkungen bei der Staubung von Schüttgutmischungen komplex und nur unzureichend verstanden. Selbst für Mischungen aus umfassend charakterisierten Einzelkomponenten existieren keine belastbaren Modelle. In dieser Arbeit werden die Hürden bei der Prognose thematisiert.
David Horst +2 more
wiley +1 more source

