Results 191 to 200 of about 23,749 (256)

Harnessing machine learning and optimization for informed chemical engineering decisions: A styrene reactor analysis

The Canadian Journal of Chemical Engineering, EarlyView.
This study shows that integrating multiple machine learning models with optimization and decision‐making improves chemical process design, and that a consensus‐based strategy across models provides more robust and reliable operating recommendations than any single model, especially under limited or noisy data conditions.
Farough Agin, Clémence Fauteux‐Lefebvre, Jules Thibault   +2 more
wiley   +1 more source

Digital morphological data can generate accurate pre-emergence herbicide dose-response curves in <i>Chenopodium album</i> L. [PDF]

Front Plant Sci
Landau O, Lopez Borges J, Na-Ah R, Peracchi L, Sanchez-Izurieta F.   +4 more
europepmc   +1 more source

Does ESG Performance Reduce Default Risk in Insurance Firms? Evidence From Life and Non‐Life Sectors

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study examines whether environmental, social, and governance performance is associated with lower default risk in European insurance firms, and whether the strength of this association differs between life and non‐life business models.
S. Miani, M. Mantovani, E. Palmieri
wiley   +1 more source

Investigation of Age-Related Changes in Iris Curvature Among Japanese Participants. [PDF]

Clin Ophthalmol
Takagi Y, Asano R, Yamashita K, Sakai Y, Yokoyama S, Ichikawa K, Ichikawa K.   +6 more
europepmc   +1 more source

Do Investors React Differently to GHG Emission in Stock Pricing Across Firms? Evidence From Commonwealth African Countries Using a Novel Wavelet‐Enhanced QQR Approach

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study examines the intricate and asymmetric relationship between corporate greenhouse gas emission disclosure and stock returns and crash risks, focusing on listed firms in six Commonwealth African countries characterized by regulatory fragility, limited investor protection, and growing climate vulnerability.
Idorenyin J. Okon, Adeolu O. Adewuyi, Simplice A. Asongu   +2 more
wiley   +1 more source

Diversity of root system architecture and root-shoot biomass allocation in industrial hemp (Cannabis sativa L.). [PDF]

PLoS One
Morales EY, Griffiths M, Mankar SP, Bagnall GC, Dowd TG, Fletcher R, McKay JK, Topp CN.   +7 more
europepmc   +1 more source

Experimental and smoothed particle hydrodynamics‐finite element method simulation investigation of synergistic erosion mechanism of gangue‐based abrasive water jets

Deep Underground Science and Engineering, EarlyView.
This study proposes an eco‐friendly coal permeability enhancement technique by utilizing mine waste gangue as an abrasive in high‐pressure water jets. Integrating erosion experiments with smoothed particle hydrodynamics‐finite element method coupled simulations, the research study elucidates the flow field dynamics and a nonlinear solid–liquid ...
Qingxiang Wang, Jiaxu Tang, Qiheng Ren, Ding Wang, Tong Wang   +4 more
wiley   +1 more source

Computer-Simulated Model Examining the Effects of Convexity Characteristics at the Skin Barrier- Abdomen Interface. [PDF]

J Wound Ostomy Continence Nurs
Bradley-Clarke J, Evans J, Waller J, McGill K, Long C, Brindle T, Carty N.   +6 more
europepmc   +1 more source

Modeling and monitoring injectivity evolution during cold CO2 injection with field evidence from aquistore carbon capture and storage operations

Deep Underground Science and Engineering, EarlyView.
This work integrates 5 years of field data from the Aquistore CCS project with a non‐isothermal THM modeling framework to explain how cold CO2 injection alters injectivity over time. The study shows that sustained cooling near the wellbore reduces effective stresses, promotes tensile micro‑cracking, and leads to semi‑reversible permeability enhancement
Alireza Rangriz Shokri, Stephen Talman, Erik Nickel, Rick Chalaturnyk   +3 more
wiley   +1 more source

Enterprise service user intent prediction based on fast K-means++ fusion algorithm. [PDF]

PLoS One
Han Y, Zhai J, Li P.
europepmc   +1 more source