Results 201 to 210 of about 5,787,304 (258)

Explainable Clinical Decision Support for Metabolic Index Prediction in Gout Patients Using GA-Optimized Ensemble Learning Models. [PDF]

Diagnostics (Basel)
Bal F, Cüre O.
europepmc   +1 more source

Enabling Bioprocess Upscaling Prediction Through Hybrid Modelling and Transfer Learning Under Small‐Data Scenarios

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Accurate prediction of bioprocess scale‐up is critical for accelerating the deployment of novel and sustainable biomanufacturing systems. However, this remains challenging as multi‐scale data is expensive to generate and mechanistic understanding is often incomplete, leading upscaling decisions to rely heavily on empirical expertise. This work
Harvey Al‐Ramadhan, Fernando Vega‐Ramon, Keju Jing, Dongda Zhang   +3 more
wiley   +1 more source

Global burden of intellectual disability attributable to preterm birth from 1990 to 2021 and projections. [PDF]

iScience
Zhuang Q, Zhang Q, Yang C, Liu M, Li X, Wang Y, Gao F.   +6 more
europepmc   +1 more source

Do Governance Structures Drive Green Building Adoption? A Machine Learning Approach With Random Forests

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines the determinants of firms' propensity to adopt green buildings in the Euro Stoxx 300 and the S&P 500 indices, during 2012–2023. Using random forest binary classifiers, we assess the relative importance of financial, sectoral, geographic, and climate governance predictors and uncover nonlinear relationships often overlooked ...
María del Carmen Valls Martínez, José Manuel Santos‐Jaén, María Estefanía Sánchez Pacheco, Fernando José Zambrano Farías   +3 more
wiley   +1 more source

Neural Network-Based Prediction and Sensitivity Analysis of CO₂ Solubility in Ionic Liquids. [PDF]

ACS Omega
Kumar A, Emmanuel M, Roqeebat O, Solomon CS, Dubey S.   +4 more
europepmc   +1 more source

Innovation Pathways to Carbon Efficiency: Disentangling the Effects of AI, R&D, and Clean Energy Blessings on U.S. Environmental Sustainability

Business Strategy and the Environment, EarlyView.
ABSTRACT The United States (U.S.) faces challenges in achieving its ambitious net‐zero carbon emissions target by 2050, with current emissions having fallen by less than 1% in 2024. Despite an investment of $500 billion in low‐carbon resources while holding the second‐largest green technology patent portfolio globally, it is further imperative to ...
Md Zubair Ahmad, Jewel Rana, Mohammad Fakhrul Islam, Md Nazmul Islam Jihad, Md. Rashed, Md. Kamal Uddin   +5 more
wiley   +1 more source

Comparison of genetic programming and HEC-HMS as a conceptual model in simulating rainfall-runoff time series. [PDF]

Sci Rep
Sepahvand R, Khoshoei M, Golmohammadi MH.   +2 more
europepmc   +1 more source

Do Banks in the Middle East and North Africa Region Price Carbon Exposure?

Business Strategy and the Environment, EarlyView.
ABSTRACT This study examines whether carbon exposure is incorporated into corporate borrowing costs within the Middle East and North Africa (MENA) region. Using a panel of 771 firm‐year observations from publicly listed non‐financial firms between 2016 and 2023, the analysis investigates the relationship between carbon intensity and firms' cost of debt
Yara Ibrahim, Khaled Hussainey, Taghred Mokhtar Sayed Moawad   +2 more
wiley   +1 more source

Deep neural network assisted modeling for MHD thin film flow of Sisko hybrid nanofluids with gyrotactic microorganisms and cross-diffusion effects. [PDF]

Discov Nano
Aljaloud AS, Rehman S, Alshammari FK, Jebnouni A, Alreshidi KR, Said R.   +5 more
europepmc   +1 more source

Rewiring the Circular Economy Through AI‐Informed Pathways: Structural and Distributional Drivers of Environmental Outcomes in the European Union

Business Strategy and the Environment, EarlyView.
ABSTRACT This study investigates the structural and distributional factors that influence environmental performance in 27 European Union (EU) countries from 2010 to 2021, focusing especially on circular economy (CE) measures and the increasing use of artificial intelligence (AI)‐based analytical tools.
Cosimo Magazzino, Fabio Anobile, Luca Esposito, Tulia Gattone   +3 more
wiley   +1 more source