Challenges and Opportunities in Machine Learning for Light‐Emitting Polymers
Macromolecular Rapid Communications, EarlyView.The performance of light‐emitting polymers emerges from coupled effects of chemical diversity, morphology, and exciton dynamics across multiple length scales. This Perspective reviews recent design strategies and experimental challenges, and discusses how machine learning can unify descriptors, data, and modeling approaches to efficiently navigate ...
Tian Tian, Yinyin Bao
wiley +1 more source
Portable electrochemical impedance biosensing with DRT-enabled machine learning for detecting <i>E. coli O157:H7</i> in poultry meat. [PDF]
Front Artif IntellTian Y +8 more
europepmc +1 more source
Macroscale Gradient‐Informed Neural Oscillation Topography in Parkinson's Disease
Movement Disorders, EarlyView.Abstract Background Parkinson's disease (PD) is characterized by large‐scale disruptions in beta and gamma oscillations. Although subcortical beta power is an established biomarker for current adaptive deep brain stimulation (aDBS), it may not fully capture the global pathophysiological burden and the macroscale hierarchical reorganization of the ...
Hao Ding +8 more
wiley +1 more source
People and Nature, EarlyView.Abstract Integrating diverse trees and shrubs (hereafter ‘trees’) in agricultural landscapes has emerged as a crucial nature‐based solution to the triple challenge of biodiversity loss, climate change and food security. The potential benefits of on‐farm trees for both people and nature, however, are often constrained by inadequate consideration of ...
Ennia Bosshard +6 more
wiley +1 more source
Candexch algorithm-enhanced chemometric determination of a novel anti-COVID-19 therapeutics in plasma and paxlovid formulation using advanced multivariate modeling: a sustainability-centered bioanalytical approach. [PDF]
BMC ChemAbbas AEF +4 more
europepmc +1 more source
PLANTS, PEOPLE, PLANET, EarlyView.Sorghum is a staple food for hundreds of millions of people in dry regions worldwide, and improving its nutritional quality is vital for global food and health security under climate change. In this study, we evaluated traditional Sudanese sorghum varieties grown in eastern deltas to better understand their natural health‐promoting properties. We found
Khitma A. Sir Elkhatim +5 more
wiley +1 more source
Polar‐low track prediction using machine‐learning methods
Quarterly Journal of the Royal Meteorological Society, EarlyView.Machine‐learning models are developed to produce reliable and efficient forecasts of polar‐low (PL) trajectories 12 hours ahead. A temporal model (RLSTM) benefiting from the rolling‐forecast strategy, improves overall prediction accuracy and is suitable for quick experimentation, while a spatiotemporal model (PL‐UNet), incorporating both historical and
Ziying Yang +4 more
wiley +1 more source
ATR-FTIR and FORS Fingerprints for Authentication of Commercial Sunflower Oils and Quantification of Their Oleic Acid. [PDF]
FoodsJiménez-Hernández G +5 more
europepmc +1 more source
The Nexus Between Circular Economy and Sustainable Supply Chain Management: PRISMA Methodology
Sustainable Development, EarlyView.ABSTRACT The intersection of sustainable supply chain management (SSCM) and circular economy (CE) has attracted increasing academic and practical attention, emphasizing the need for integrated sustainability approaches. This study employs the PRISMA protocol and conceptualizes the CE–SSCM relationship as a dynamic system in which internal capabilities,
Feriel Barkaoui, Khaled Ben abdallah
wiley +1 more source