Results 171 to 180 of about 8,962 (250)
ABSTRACT Institutional investors increasingly rely on ESG ratings to evaluate financially material sustainability risks, while governments promote corporate alignment with the United Nations Sustainable Development Goals (SDGs). Because these frameworks differ substantially in capital market salience and monitoring intensity, board oversight may not ...
Mohamed Hegazy +2 more
wiley +1 more source
Early-warning prediction of visceral leishmaniasis mortality using a multivariate STL-deep learning hybrid approach on 20 years of monthly time series. [PDF]
El Guma F +6 more
europepmc +1 more source
ABSTRACT The EU has recently introduced, for the first time, a market‐wide mandatory assurance requirement for sustainability reporting under the Corporate Sustainability Reporting Directive (CSRD). The directive mandates that affected firms obtain independent third‐party assurance for their ESG reports. This study examines the equity market's reaction
Zelalem Abay
wiley +1 more source
P2D-former for time-series forecasting with period-aware 2D representations and exogenous covariates. [PDF]
Hong H +6 more
europepmc +1 more source
ABSTRACT The circular economy (CE) has become a major focus in energy and environmental (E&E) research, as it helps advance sustainable development, improve resource efficiency and alleviate environmental pressure. Even so, the literature is still fragmented, particularly in the CE themes it explores, the levels of analysis it adopts and the methods ...
Jahira Debbarma +2 more
wiley +1 more source
A covariate aware and dual convolutional network model for stadium crowd flow prediction. [PDF]
Duan H, Sun Q.
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
TACDformer: an improved informer-based model for accurate multivariate long-term time series forecasting. [PDF]
Hu Z +6 more
europepmc +1 more source
Abstract Traditional off‐line analysis methods to quantify residual metabolite concentrations in a drug substance fermentation process consume valuable time, require costly resources, and demand potentially hazardous manual operations when working with pathogenic biological organisms.
Griffin P. Thomas +7 more
wiley +1 more source

