Results 221 to 230 of about 1,532,638 (307)

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

Analysis of Ruddlesden‐Popper and Dion‐Jacobson 2D Lead Halide Perovskites Through Integrated Experimental and Computational Analysis

Battery Energy, Volume 4, Issue 2, March 2025.
Optimized ML framework for predicting RP and Dj phases in perovskite solar cells. ABSTRACT Two‐dimensional (2D) lead halide perovskites (LHPs) have captured a range of interest for the advancement of state‐of‐the‐art optoelectronic devices, highly efficient solar cells, next‐generation energy harvesting technologies owing to their hydrophobic nature ...
Basir Akbar, Kil To Chong, Hilal Tayara
wiley   +1 more source

Mitochondrial Genome Comparison and Phylogenetic Analysis of the Family Carabidae (Coleoptera: Adephaga). [PDF]

Biology (Basel)
Zhan J, Zhu P, Liu K, Shen R, Liang H, Wang X, Bai M.   +6 more
europepmc   +1 more source

Missing the (Bayesian) wood for the trees?

, 2019
III Congreso Internacional Virtual de Educación Estadística (CIVEEST), 21-24 febrero de 2019. [www.ugr.es/local/fqm126/civeest.html]
openaire   +1 more source

Prediction of Prevalent Cardiovascular Disease Using Social, Environmental, and Behavioral Factors: A Vital Conditions Framework Approach

Chronic Diseases and Translational Medicine, EarlyView.
The Vital Conditions Framework. Graphical representation of the Vital Conditions for Health Framework with seven domains. Images used with permission from The Rippel Foundation: An Introduction to the Vital Conditions for Health and Well‐Being. https://rippel.org/events/webinar-an-introduction-to-the-vital-conditions-for-health-and-well-being/. Federal
Stephanie Kjelstrom, Richard Hass, Robert Vollbrecht, Brandon George, Sharon Larson   +4 more
wiley   +1 more source

Morphology and multigene phylogeny reveal five new species and two new records of saprobic microfungi from Yunnan, China. [PDF]

MycoKeys
Ren GC, Chen WH, Gui H, Chen ZY, Guo C, Meng QF, Tian WY.   +6 more
europepmc   +1 more source

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

Civil 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

Enzymatic Electrosynthesis for Sustainable CO2 Conversion: Advancing Circular Carbon Economy

Carbon Energy, EarlyView.
Enzymatic electrosynthesis (EES) offers molecular precision in synthesizing value‐added products from CO2. We highlight its distinct edge over alternative enzyme‐hybrid systems and analyze electron transfer pathways. Key strategies to overcome electron transfer bottlenecks and expand product diversity are addressed, and also data‐driven approaches for ...
Yan Xie, Jia Ouyang, Manu Suvarna, Xiangzhou Yuan, Matthew R. Hill, Uwe Bornscheuer, Huiyan Zhang, Yong Sik Ok   +7 more
wiley   +1 more source

Mitochondrial genome characteristics and phylogenetic analysis of <i>Ramaria longispora</i>. [PDF]

Mitochondrial DNA B Resour
Yu Y, Liu C.
europepmc   +1 more source

Laminar Burning Velocity of Ammonia‐Hydrogen Mixtures Predicted by Machine Learning

Chemie Ingenieur Technik, EarlyView.
Ammonia–hydrogen blends aid defossilization, but slow combustion kinetics require complex modeling. Although chemical kinetic modeling is computationally expensive, machine learning surrogates offer fast predictions. This study trained GPR, DT, and ANN models on 1445 experimental points.
Georg Klepp, Aditya Sharma, Helene Dörksen   +2 more
wiley   +1 more source