Results 211 to 220 of about 116,709 (314)

Research on interpretable machine learning modeling and spatial prediction of cross-landform landslide disaster mechanism: A case study of Shaanxi Province. [PDF]

PLoS One
Han M, Yang Y.
europepmc   +1 more source

When Nature Counts: Corporate Biodiversity Attention and Access to Bank Finance

Business Strategy and the Environment, EarlyView.
ABSTRACT This paper investigates whether corporate attention to biodiversity influences firms' access to bank loans, an overlooked question in the emerging biodiversity–finance literature. Using a novel, text‐based measure constructed from 446 biodiversity‐related keywords and applied to Chinese A‐share listed firms from 2000 to 2023, we show that ...
Ruxiao Li, Bo Zhang, Zhang‐Hangjian Chen, Hafiz Hoque   +3 more
wiley   +1 more source

Comprehensive risk mapping and management of rainfall-induced slope failures in urbanizing subtropical regions. [PDF]

Sci Rep
Yang F, Hasan M.
europepmc   +1 more source

Digital documentation of railway tunnel inspection in Austria

Civil Engineering Design, Volume 7, Issue 1, Page 3-8, March 2025.
Abstract Infrastructure, especially railway tunnels, require continuous inspection to ensure their safety. Furthermore, the detection of damages at an early stage can improve their service life. These tasks represent a major challenge for those involved and the tunnel down time is a disruption in operation.
Matthias J. Rebhan, Stefan S. Grubinger, Andreas Schüppel, Simona Deutinger, Gernot Schwarzenberger   +4 more
wiley   +1 more source

An integrated model for conglomerate reservoir quality classification based on graph attention and multiscale multimodal features. [PDF]

Sci Rep
Zhao B, Liu S, Lou Y, Yin B.
europepmc   +1 more source

Engineering Biochar‐Derived Functional Materials for High‐Performance Supercapacitors: Design Principles, Mechanisms, and Scalable Strategies

Carbon Energy, EarlyView.
ABSTRACT Biochar has emerged as a useful and adaptable source of carbon for supercapacitor electrodes. Its value comes from the way biomass chemistry, thermal conversion, and activation conditions shape the resulting pore network, surface groups, and degree of carbon ordering.
Soumen Mandal, Avinash C. Mendhe, Mayna Roy, Neha S. Barse, Taejoon Park, Han‐Seung Lee, Haigun Lee   +6 more
wiley   +1 more source

Integrated UAV photogrammetry and SMRM constitutive modeling for spatial stability assessment of layered rock slopes. [PDF]

PLoS One
Shan H, Wang Z, Wu J, Wang W, Lu J, Wu F, Li Z.   +6 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

Potential evaluation and favorable zone optimization of CO₂ geological sequestration in deep coal reservoirs. [PDF]

Sci Rep
Xue Z, Xu X, Tian L, Jian K, Zhang S, Xu L, Li J, Zhang Z, Xin Y, Yao Y.   +9 more
europepmc   +1 more source

In‐situ asphaltene capture with iron oxide nanoparticles in steam‐assisted gravity drainage (SAGD) for improved recovery and partial upgrading of bitumen

The Canadian Journal of Chemical Engineering, EarlyView.
Key improvements obtained by incorporating nanoparticles into a lab‐scale SAGD process configuration. The bar plots show enhanced oil recovery, reduced viscosity, and increased asphaltene adsorption in nanoparticle‐assisted scenarios compared with conventional SAGD.
Luis Prada, Saleh S. Baakeem, Mabkhot BinDahbag, M. Daniela Contreras‐Mateus, Jesus Botett, Afif Hethnawi, Nashaat N. Nassar   +6 more
wiley   +1 more source