ABSTRACT This study examines the influence of female directors on circular business performance (CBP), incorporating the mediating role of environmental orientation and the moderating roles of institutional pressure and stakeholder engagement. Drawing on Behavioral Agency Theory and the Natural Resource Based View, we argue that board gender diversity ...
Wu Ning +3 more
wiley +1 more source
ABSTRACT Additive manufacturing (AM) adoption provides numerous benefits, including decentralised production, design flexibility, mass customisation, reduced material waste and lightweight designs. However, AM investment decisions are complex and challenging for manufacturers, and limited knowledge exists about the holistic assessment of relevant costs
Dilupa Nakandala +5 more
wiley +1 more source
Improving sampling efficacy on high-dimensional distributions with thin high-density regions using Conservative Hamiltonian Monte Carlo. [PDF]
McGregor G, Wan ATS.
europepmc +1 more source
Modeling Non‐GM Segregation Strategies at the Grain Elevator
ABSTRACT Background and Objective As new opportunities arise for non‐genetically modified (non‐GM) products in grain markets, segregation becomes crucial but challenging in commodity‐friendly infrastructures such as grain elevators. This study developed probabilistic models using Monte Carlo simulations to evaluate three segregation strategies ...
Priyanka Gupta +3 more
wiley +1 more source
Experimental and Monte Carlo simulation study on photons shielding properties of ZrO<sub>2</sub>-reinforced polyester composites utilizing GEANT4 and MCNP codes. [PDF]
Abdollahi M, Jafari A, Saray AA.
europepmc +1 more source
Key Challenges for Commercializing Perovskite–Silicon Tandem Solar Cells
This review discusses the scientific and technological challenges in advancing perovskite–silicon tandem solar cells (PSTSCs) from lab‐scale to commercial viability, focusing on long‐term stability, scalability, and economic feasibility. Key issues include intrinsic and extrinsic degradation factors, installation conditions, environmental impacts, and ...
Bilal Mehmood +16 more
wiley +1 more source
Machine Learning Paradigm for Advanced Battery Electrolyte Development
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su +4 more
wiley +1 more source
Pleiotropic shared heritability quantifies the shared genetic variance of common diseases. [PDF]
Zhao Y +9 more
europepmc +1 more source
We present a machine‐learning framework that predicts the electron localization function (ELF) of dense hydrogen directly from atomic geometry, bypassing explicit electronic‐structure calculations. Trained on ab initio data for fluid hydrogen across multiple pressures, the model achieves high accuracy and reveals pressure‐dependent nonlocal ...
Xiaoyu Wang +5 more
wiley +1 more source
Synthesis and evaluating gamma shielding features of YBa<sub>2</sub>Cu<sub>3</sub>O<sub>7</sub>(Bi<sub>2</sub>O<sub>3</sub>) ceramic composite using Monte Carlo method via GEANT4 and MCNP codes. [PDF]
Soltani E, Saray AA.
europepmc +1 more source

