Results 81 to 90 of about 289 (170)
A novel method for evaluating the ESG performance level of power companies is proposed. The PFS‐FWZIC method is employed to calculate the indicator weights, avoiding the inconsistency issues associated with traditional methods. An ESG performance evaluation index system tailored for the power industry is constructed.
Qiang Li +4 more
wiley +1 more source
CFD Mechanistic Modeling of a Monolithic Chromatography System: Challenges and Opportunities. [PDF]
Coimbra JC +4 more
europepmc +1 more source
Curvature Induced by Deflection in Thick Meta-Plates. [PDF]
Mirzaali MJ +10 more
europepmc +1 more source
Attention‐Based Spatial–Temporal Model for the Entire Indoor Space Temperature Estimation
This study proposes a novel attention‐based spatial–temporal model for indoor temperature estimation, which integrates positional encoding and an attention mechanism with a fully connected neural network. By jointly capturing temporal dynamics and spatial correlations, the model enables high‐resolution estimation of temperature fields across the entire
Goro Terumichi +3 more
wiley +1 more source
Computational framework for discovery of degradation mechanisms of organic flow battery electrolytes. [PDF]
Zhang X, de Silva P.
europepmc +1 more source
Design of a Robust Tool for Deploying Large-Area Stretchable Sensor Networks from Microscale to Macroscale. [PDF]
Ransom E, Chen X, Chang FK.
europepmc +1 more source
Abstract Statistical hypothesis testing (SHT) is widely employed across numerous scientific disciplines, and a clear understanding of its underlying logic is essential for the broader scientific community. Here, drawing upon both epistemological and statistical perspectives, we aim to clarify—primarily for educational purposes—the logical relationship ...
Maria Cristina Amoretti +1 more
wiley +1 more source
Three-Space as a Quantum Hyperlayer in 1+3 Dimensions: A Case Study in Quantum Space and Time. [PDF]
Czachor M.
europepmc +1 more source
The Holographic Principle Comes from Finiteness of the Universe's Geometry. [PDF]
Bolotin A.
europepmc +1 more source
ABSTRACT Accurate surface‐pressure prediction over broad operating envelopes is critical for supersonic aerodynamic analysis and design. To overcome the bottlenecks of traditional computational fluid dynamics (CFD) in real‐time performance and computational efficiency, data‐driven deep learning methods have emerged. However, existing data‐driven models
Hongbin Xu, Yin Long, Junlin Wu
wiley +1 more source

