Results 181 to 190 of about 165,308 (288)
Funding Costs and Liquidity Creation: Does ESG Play Any Role?
ABSTRACT This study examines how banks' funding costs affect liquidity creation and whether environmental, social, and governance (ESG) performance shapes this relationship. Using panel data for 136 U.S. commercial banks from 2005 to 2022, we show that higher funding costs are associated with lower liquidity creation, indicating that more expensive ...
Sattam Bin Kowibeen +2 more
wiley +1 more source
Area-time efficient pipelined number theoretic transform for CRYSTALS-Kyber. [PDF]
Waris A, Aziz A, Khan BM.
europepmc +1 more source
ABSTRACT This article contributes to sustainability research by investigating the complex, geopolitically induced challenges faced by industrial supply chains under international sanctions. Using Iran's steel industry as a case, it examines sustainability barriers through the lens of stakeholder theory. A mixed methods approach was employed.
Seyed Hamed Moosavirad +2 more
wiley +1 more source
ABSTRACT Whether corporate carbon management can enhance productive efficiency is central to firms' long‐term competitiveness and determines whether carbon reduction efforts can be sustained beyond regulatory compliance. This study examines how corporate carbon risk and opportunity management affects firm productivity (measured by total factor ...
Nan Huang, Hanlu Fan, Ruoxin Zhu
wiley +1 more source
A multi-authority attribute ring signature supporting dynamic policies and dual anonymity for zero-trust networks. [PDF]
Chen J, Zhou X, Fu W, Mao Y, Wang J.
europepmc +1 more source
ABSTRACT Background Adverse events after acute myocardial infarction (AMI) are individually associated with poor outcomes, but the prognostic impact of the overlap of different event types occurring sequentially within the same patient remains uncertain.
Kyung Hoon Roh +12 more
wiley +1 more source
On Double Cyclic Codes over Finite Chain Rings for DNA Computing. [PDF]
Ali S +4 more
europepmc +1 more source
Optimal model‐based design of experiments for parameter precision: Supercritical extraction case
Abstract This study investigates the process of chamomile oil extraction from flowers. A parameter‐distributed model consisting of a set of partial differential equations is used to describe the governing mass transfer phenomena in a cylindrical packed bed with solid chamomile particles under supercritical conditions using carbon dioxide as a solvent ...
Oliwer Sliczniuk, Pekka Oinas
wiley +1 more source
Enhancing privacy-preserving brain tumor classification with adaptive reputation-aware federated learning and homomorphic encryption. [PDF]
Ghanta S +4 more
europepmc +1 more source
Integrated Aspen HYSYS–machine learning framework for predicting product yields and quality variables. Abstract Crude oil refining is a complex process requiring precise modelling to optimize yield, quality, and efficiency. This study integrates Aspen HYSYS® simulations with machine learning techniques to develop predictive models for key refinery ...
Aldimiro Paixão Domingos +3 more
wiley +1 more source

