Results 81 to 90 of about 1,190 (187)

IRS assisted hybrid HAP UAV uplink NOMA networks: an interference aware optimization framework. [PDF]

open access: yesSci Rep
Alhashmi AA   +7 more
europepmc   +1 more source

Digital Orientation and Green Practices in Chilean SMEs: Innovation as the Pathway to Competitive Performance

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This study examines how digital strategic orientation (DSO) and environmental practices (EP) interact to shape innovation and performance among Chilean SMEs. Using survey data from 271 firms (February–May 2022), we estimate a generalized structured component analysis (GSCA) model that accommodates a nonrecursive relationship between DSO and EP.
Constanza Caicha‐Caroca   +2 more
wiley   +1 more source

Ensemble‐based soil liquefaction assessment: Leveraging CPT data for enhanced predictions

open access: yesCivil Engineering Design, Volume 7, Issue 1, Page 23-35, March 2025.
Abstract This study focuses on predicting soil liquefaction, a critical phenomenon that can significantly impact the stability and safety of structures during seismic events. Accurate liquefaction assessment is vital for geotechnical engineering, as it informs the design and mitigation strategies needed to safeguard infrastructure and reduce the risk ...
Arsham Moayedi Far, Masoud Zare
wiley   +1 more source

Alleviating Job-Related Burnout in Medical Professionals through Guided Imagery Hypnotherapy. [PDF]

open access: yesJ Evid Based Integr Med
Wu YC   +6 more
europepmc   +1 more source

Exploring Tradeoffs in Syngas Production With Solid‐Oxide Electrolysis via Multi‐Objective Optimization

open access: yesChemie Ingenieur Technik, EarlyView.
This work applies multi‐objective optimization to investigate trade‐offs between different objectives in syngas production with solid‐oxide cell co‐electrolysis. Two system designs are investigated. By systematically exploring tradeoffs between different objectives, insights, and comparisons of the operation of these designs are achieved.
Gbenga Jerome   +6 more
wiley   +1 more source

Data‐driven simulation of crude distillation using Aspen HYSYS and comparative machine learning models

open access: yesThe 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   +3 more
wiley   +1 more source

Predicting methane adsorption in coal and shale with white-box and black-box machine learning models. [PDF]

open access: yesSci Rep
Sheikhshoaei AH   +5 more
europepmc   +1 more source

Antisolvent crystallization of lithium hydroxide monohydrate: Significant factors and kinetics analysis

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract Crystallization is the final stage in lithium hydroxide monohydrate (LiOH · H2O) production, and antisolvent crystallization offers a lower‐energy route compared with evaporative methods. In this study, we investigated bench‐scale ethanol‐based antisolvent crystallization of LiOH · H2O, and identified the significant impact parameter via a ...
Chentao He, Liuyin Xia
wiley   +1 more source

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