Results 81 to 90 of about 10,782 (229)

Hybrid machine learning and genetic algorithm approach for catalyst and process optimization in Fischer–Tropsch synthesis toward sustainable fuel production

The Canadian Journal of Chemical Engineering, EarlyView.
Graphical representation of a data‐driven framework for Fischer‐Tropsch synthesis (FTS) modelling and optimization. Abstract This study presents a data‐driven approach for predicting the relationships between catalyst design, process conditions, and product selectivity in Fischer–Tropsch synthesis (FTS).
Doaa M. Hassan, Ryan Gosselin, Nicolas Abatzoglou   +2 more
wiley   +1 more source

Application of artificial neural network and general machine learning modelling on CO2 adsorption in moisture equilibrated South African high and medium rank coals

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study investigates the effect of moisture on CO2 adsorption in South African coals using both experimental and machine learning approaches. Three coal samples (SL, TN, and EM) with varying ranks (RoVmr: 3.49%, 1.26%, and 0.64%, respectively) were collected from different regions of South Africa.
Kasturie Premlall, Lawrence Koech, Douw Faurie, Khanyisile Lepota   +3 more
wiley   +1 more source

Tokenism or Catalytic? Exploring Board Gender Diversity Through the Lens of SDG 9 Outcomes in the EU Context

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study explores the relationship between Executive gender diversity (EGD) and the achievement of Sustainable Development Goal 9 (SDG 9—Industry, Innovation, and Infrastructure) in the European Union. It investigates whether female representation in corporate governance contributes to innovation‐driven sustainability.
Suzan Dsouza, Radhika Lakshminarayanan, Suzana Košir   +2 more
wiley   +1 more source

Analyzing Deep Deviation from Covered Interest Rate Parity for US dollar in the Advanced Financial Market after Global Financial Crisis and its Potential Risk

, 2017
Dae-Jung Yang
openalex   +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

CSR Disclosure and Operating Performance in the Agri‐Food Manufacturing Industry: Evidence From Southern Europe

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study explores the relationship between corporate social responsibility (CSR) disclosure and operating profitability in the agri‐food manufacturing industry of Southern Europe, focusing on Extremadura (Spain). From an initial pool of 284 firms, the final sample comprised 185 companies after excluding inactive or non‐reporting cases.
Ángel Sabino Mirón Sanguino, Maria Pache Durán, Triana Arias Abelaira, María Beatriz Corchuelo Mártinez Azua   +3 more
wiley   +1 more source

Geographic biases and gaps in the sampling of plant–pollinator networks

Ecography, EarlyView.
Plant–pollinator interactions are essential for maintaining biodiversity and supporting food production, yet inferences drawn from network syntheses may be shaped by where interaction data are generated and which datasets are most reused. Here, we quantify the global distribution of published plant–pollinator networks, assess how publication rates vary
Emanuelle L. S. Brito, Rose McDonald, Mário Almeida‐Neto, Lauren C. Ponisio   +3 more
wiley   +1 more source

Solar Fuels Via Methane Valorization: Thermochemical Pathways, Unified Metrics, and Techno‐Economic Perspectives

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A first‐of‐its‐kind review benchmarks three solar methane valorization pathways with unified performance metrics for clean fuel production. Meeting global climate targets and sustainable energy demands requires carbon‐neutral fuels and innovative conversion pathways.
Muhammad Abdulmoez, Amjad Othman, Majid Linjawi, Amro Al‐Qutub   +3 more
wiley   +1 more source

Electronic Structure Modulation in Dopant‐Controlled Single‐Atom Graphene Catalysts for Efficient Hydrogen Evolution: A Machine Learning and First‐Principles Study

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
First‐principles DFT calculations and machine learning analysis show that heteroatom doping of graphene (G) significantly enhances the stabilization of transition‐metal single atoms by strengthening metal–support interactions and increasing charge transfer. N‐doped G exhibits higher adsorption energies, lower d‐band centers, and shorter TM–G bonds than
Sajjad Ali, Pir Muhammad Ismail, Muhammad Humayun, Mohamed Bououdina   +3 more
wiley   +1 more source

Vaginal host–microbe signatures linked to placental outcomes in mares

Equine Veterinary Journal, EarlyView.
Abstract Background Ascending placentitis is a leading cause of late‐term pregnancy loss in mares. Although pathogens are presumed to ascend from the caudal reproductive tract, the association between the vaginal microbiome and placentitis has not been systematically examined.
Machteld van Heule, Babiche Heil, Jamie K. Norris, Kristene Gedye, Xiaoxiao Lin, Ward De Spiegelaere, Peter Daels, Pouya Dini   +7 more
wiley   +1 more source