Results 161 to 170 of about 5,348 (248)

A Geometry of Hamiltonian Mechanics. [PDF]

Entropy (Basel)
Elgressy G, Horwitz L.
europepmc   +1 more source

Can Credit Rating Changes Affect Corporate Carbon Emissions? Some Evidence From the S&P 500

Business Strategy and the Environment, EarlyView.
ABSTRACT Using panel data on US S&P 500 firms from 2012 to 2024, this study examines how credit rating changes affect corporate carbon performance. Drawing on the resource‐based view and prospect theory, we show that credit rating downgrades lead to a statistically and economically significant deterioration in emission reduction scores.
Michal Wojewodzki, Mohamad H. Shahrour, Alireza Rohani, Bradley R. Barnes, Chi Keung Marco Lau   +4 more
wiley   +1 more source

A hybrid analytical-machine learning framework for data-driven modeling of soliton solutions in the complex Ginzburg-Landau equation. [PDF]

Sci Prog
Muhammad J, Tedjani AH, Yao F, Younas U.
europepmc   +1 more source

Prosumers and Sustainable Market Governance: Development of the Community‐Oriented Marketing Approach Scale

Business Strategy and the Environment, EarlyView.
ABSTRACT This research develops and empirically validates the Community‐Oriented Marketing Approach (COMA), a 20‐item multidimensional scale designed to measure prosumer perceptions within participatory market systems. COMA conceptualizes prosumers as active co‐value creators and institutional agents, driving sustainable market governance.
Alpaslan Kelleci, Oguzhan Essiz
wiley   +1 more source

Analytical analysis of the nonlinear fractional order Pochhammer-Chree equation with power-law nonlinearity in elastic materials. [PDF]

Sci Rep
Khalid M, Khalid NA, Ceesay B, Ahmed N.
europepmc   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

The Canadian Journal of Chemical Engineering, EarlyView.
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, Heleno Bispo, Thiago Vaz da Costa, Sérgio Mauro da Silva Neiro   +3 more
wiley   +1 more source

Computer-assisted construction of <i>SU</i>(2)-invariant negative Einstein metrics. [PDF]

Ann Glob Anal Geom (Dordr)
Wang QS.
europepmc   +1 more source

Box–Behnken optimization and ANN‐ANFIS integrated modelling for transesterification using thermally activated basic oxygen furnace slag catalyst

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Global energy demand and environmental concerns have intensified the search for renewable and sustainable energy sources. This study thus, focuses on optimizing the transesterification process of waste cooking oil (WCO) using thermally activated basic oxygen furnace slag catalyst calcined at 850°C (BOF 850). The optimization and modelling were
Johra S. Ali, Hillary L. Rutto
wiley   +1 more source

Theoretical aspects of nanofluid peristaltic transport in tapered wavy structure. [PDF]

Discov Nano
Tanveer A, Imtiaz S, Saleem S.
europepmc   +1 more source

Nonlinear permuted Granger causality

Canadian Journal of Statistics, EarlyView.
Abstract Granger causality is an established, contentious method that seeks causal temporal connections via association and precedence. While not true causal inference, it assists in mapping networks of information flow that may warrant further study.
Noah D. Gade, Jordan Rodu
wiley   +1 more source