Results 91 to 100 of about 6,278,898 (215)

Governing Sustainability After IPO: Corporate Governance Mechanisms and ESG Pillar Trajectories in the Euro Area

open access: yesCorporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study provides exploratory evidence on whether going public may act as a catalyst for corporate sustainability and examines whether board‐level governance arrangements shape post‐IPO sustainability trajectories. Drawing on a formal conceptual framework that integrates agency theory, legitimacy theory, and the resource‐based view as ...
Salvatore La Barbera
wiley   +1 more source

Research progress and current status of dynamic wave propagation characteristics in rock mass: A review

open access: yesDeep Underground Science and Engineering, EarlyView.
This review elucidates the velocity–dispersion–attenuation coupling mechanisms of wave propagation in rock masses, compares six representative models, and reveals how pressure, temperature, mineral composition, and anisotropy jointly control dynamic responses in complex geological media.
Jiajun Shu   +8 more
wiley   +1 more source

A Biosourced and Self‐Healable Polymer Electrolyte for Potassium Batteries

open access: yesEcoEnergy, EarlyView.
A biosourced lignin‐filled gel polymer electrolyte combines suppressed crystallinity, high ionic conductivity, and UPy‐driven self‐healing for potassium batteries. The optimized formulation sustains long‐term cycling with 97.5% capacity retention after 1000 cycles and preserves electrochemical operation after intentional membrane damage.
Sabrina Trano   +6 more
wiley   +1 more source

N‐terminal pro‐brain natriuretic peptide and cardiorenal outcome in patients with anaemia in chronic kidney disease

open access: yesESC Heart Failure, Volume 12, Issue 2, Page 848-858, April 2025.
Abstract Aims Blood levels of N‐terminal pro‐brain natriuretic peptide (NT‐proBNP) may be modified by low renal clearance and anaemia. The aim of this study was to investigate the impact of the blood NT‐proBNP level on cardiovascular and renal outcomes in patients with these two manifestations.
Hiroshi Nishi   +4 more
wiley   +1 more source

Wood‐Derived 3D Conductive Cellular Bio‐C@YB2C2 Ceramics for Efficient Electromagnetic Shielding and Joule Heating

open access: yesElectron, EarlyView.
Herein, a biomimetic, anisotropic, robust wood‐derived 3D conductive Bio‐C@YB2C2 framework was synthesized by in situ boron/carbon thermal reduction reaction on the carbonized wood template. The as‐obtained Bio‐C@YB2C2 composites accurately inherit the specific microstructure of natural wood, providing pathways for terahertz wave dissipation.
Yong‐Mei Hou   +9 more
wiley   +1 more source

Directionality Scaling of Scalar and Vector Ground Motion Intensity Measures

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT The azimuthal directionality of earthquake ground‐motion intensity measures (IMs) is conventionally described by the ratios between the orientation‐independent maximum (RotD100) and median (RotD50) values over the horizontal plane. This study presents a refined characterization of the directionality of 31 IMs, including spectral accelerations (
Mao‐Xin Wang, Gang Wang
wiley   +1 more source

Next‐Generation Seismic Performance Assessment Through Multi‐Component Ground Motion Compatible Intensifying Artificial Acceleration

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Despite the crucial need for fully quantitative risk assessment of large‐scale structures, their performance is typically assessed through deterministic or semi‐quantitative approaches. The main preventing factor is the computational burden of probabilistic seismic analyses.
M. Amin Hariri‐Ardebili   +6 more
wiley   +1 more source

Comparison of methods for quick estimation of psychometric thresholds. [PDF]

open access: yesFront Neurosci
Chopin A   +3 more
europepmc   +1 more source

Machine Learning Modeling of Drill Cuttings Transport Based on Computational Fluid Dynamics Simulation Data

open access: yesEnergy Science &Engineering, EarlyView.
Machine learning surrogates accurately predict drill cuttings transport from computational fluid dynamics data, with Reynolds number dominating system behavior. While tree‐based models excel in accuracy, Gaussian process regression provides physically consistent, smooth predictions essential for reliable drilling simulations.
Kathrin Skinder   +3 more
wiley   +1 more source

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