Results 111 to 120 of about 25,547 (250)
ABSTRACT Investors have long recognized the importance of firms in promoting sustainability, leading to the rise of socially responsible investment (SRI). Specifically, there is a growing preference for exchange‐traded funds (ETFs) that prioritize environmental, social, and governance (ESG) principles.
Sandra Tenorio‐Salgueiro +3 more
wiley +1 more source
Quasirandom Graphs and the Pantograph Equation. [PDF]
Shapira A, Tyomkyn M.
europepmc +1 more source
Recombining Knowledge for Climate Innovation: Evidence From US Energy Incumbents
ABSTRACT As the climate crisis intensifies, energy incumbents must strategically transform their fossil‐fueled legacies to remain competitive and sustainable. Yet, little is known about how internal knowledge architectures and external industry positions jointly shape their capacity for climate innovation.
Kyung‐Baek Min +2 more
wiley +1 more source
The Impact of Acquisition Intensity on ESG Performance
ABSTRACT This study investigates the impact of Acquisition Intensity on ESG performance using a panel of 1,736 US‐listed companies from 2002 to 2023. Employing a robust OLS framework, we assess both Value‐Based and Volume‐Based Acquisition Intensity against overall ESG scores and their environmental, social, and governance pillars, controlling for firm
Ugbede Amedu +2 more
wiley +1 more source
Multiscale Laplacian Learning. [PDF]
Merkurjev E, Nguyen DD, Wei GW.
europepmc +1 more source
The image illustrates the journey of catalyst engineering across scales, emphasizing the design, shaping, and manufacturing of technical catalysts. It highlights how hierarchical structuring bridges properties and process innovation, showcasing the continuum between fundamental science and industrial practice that defines modern catalyst engineering ...
Ali M. Alkadhem +6 more
wiley +1 more source
On tricyclic graphs with maximum atom-bond sum-connectivity index. [PDF]
Noureen S +5 more
europepmc +1 more source
Machine Learning Unlocks New Directions in Halide Perovskite Research
GA: This frontispiece visualizes the role of machine learning (ML) in advancing halide perovskite research. It highlights how ML enables the prediction of material properties, guides compositional design, and supports the development of stable, high‐performance perovskite devices for optoelectronic applications, providing new strategies to overcome ...
Hyejin Choe +3 more
wiley +1 more source
A model of mobile robots in networks with resolvability properties. [PDF]
Camacho Campos C +4 more
europepmc +1 more source
HopCat, a hybrid algorithm combining rule‐based transformations with quantum‐informed kinetics, can be applied to acid‐catalyzed terpenoid rearrangements. In synergy with human chemists and nuclear magnetic resonance analysis, it facilitates product assignment, candidate selection, and reconstruction of complex mechanistic pathways.
Louis P. J.‐L. Gadina +6 more
wiley +1 more source

