Results 91 to 100 of about 1,931 (195)

An Indicator‐Based Decision Framework for Circular Bioeconomy Transition in the Steel Industry: Integrating Multiphase Learning and Cooperative Game Modelling

Business Strategy and the Environment, EarlyView.
ABSTRACT Despite growing attention to the circular bioeconomy (CBE), the steel industry currently lacks a standardised, sectoral measurement framework to facilitate a low‐carbon transition. In this study, a decision‐support framework for evaluating CBE performance in the steel industry is proposed.
Ali Zamani Babgohari, Mohammadreza Sadeghi‐Moghadam, Hannan Amoozad Mahdiraji   +2 more
wiley   +1 more source

Red Blood Cell Membrane Mechanics Using Discrete Exterior Calculus (DEC) and Optimization. [PDF]

Int J Numer Method Biomed Eng
Afas KC, Goldman D.
europepmc   +1 more source

Sectoral Heterogeneity in Corporate Biodiversity Disclosure: Evidence from Chinese Listed Companies Across Industries, 2001–2023

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines sectoral heterogeneity in corporate biodiversity disclosure (CBD) among Chinese listed firms over the period 2001–2023. Drawing on stakeholder, institutional, and resource dependency theories, it investigates how environmental exposure, ownership structures, and market dynamics influence biodiversity risk recognition and ...
Orkun Bayram, Irmak Aksoy, Yavuz Selim Balcıoğlu   +2 more
wiley   +1 more source

Evaluation of 3D-CRT vs. VMAT for radiotherapy of whole breast with simultaneous integrated boost. [PDF]

Acta Oncol
Johansson G, Kojoj R, Surdashi S, Olin M, Fredén E, Sen P, Dahl E, Wendt C.   +7 more
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

A new combined reduction anatomical plate for the treatment of acetabular anterior column and posterior hemi-transverse fractures: a finite element analysis study. [PDF]

Sci Rep
Chongshuai B, Jun A, Lin C.
europepmc   +1 more source

Comparative assessment of volume‐of‐fluid (VOF) multiphase solvers for viscoplastic flow over grooved patterned surfaces

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract Accurately simulating multiphase flows at low capillary numbers remains challenging due to spurious currents and interface discretization errors. We present a systematic comparison of four volume‐of‐fluid (VOF) solvers within the OpenFOAM framework for pressure‐driven Poiseuille–Bingham flow over grooved surfaces: interFoam with classical ...
Amir Joulaei, Alice Villette, Seyed Mohammad Taghavi   +2 more
wiley   +1 more source

A physics-informed graph neural network conserving linear and angular momentum for dynamical systems. [PDF]

Nat Commun
Sharma V, Fink O.
europepmc   +1 more source

Stochastic Gradient Descent in High Dimensions for Multi‐Spiked Tensor PCA

Communications on Pure and Applied Mathematics, EarlyView.
ABSTRACT We study the high‐dimensional dynamics of online stochastic gradient descent (SGD) for the multi‐spiked tensor model. This multi‐index model arises from the tensor principal component analysis (PCA) problem with multiple spikes, where the goal is to estimate the unknown signal vectors within the N$N$‐dimensional unit sphere through maximum ...
Gérard Ben Arous, Cédric Gerbelot, Vanessa Piccolo   +2 more
wiley   +1 more source

Cutting soft materials: how material differences shape the response. [PDF]

NPJ Comput Mater
Moreno-Mateos MA, Steinmann P.
europepmc   +1 more source