Results 121 to 130 of about 24,260,233 (261)
This review examines passive, active, and hybrid liquid manipulation strategies, highlighting hybrid approaches as an emerging route to reconcile energy efficiency with adaptive control. By actively reconstructing passive surfaces to store programmable interfacial energy, hybrid systems enable flexible yet low‐power liquid transport, with perspectives ...
Jiaqi Miao +3 more
wiley +1 more source
Implementation and Uptake of the Massachusetts Drug Supply Data Stream: A Statewide Public Health-Public Safety Partnership Drug Checking Program. [PDF]
Green TC +11 more
europepmc +1 more source
Gold‐stabilized copper suppresses hydroxide‐driven deactivation during anodic hydrogen evolution from furfural. Pairing this low‐potential anode with CO‐to‐ethylene electroreduction enables sub‐1 V operation at 400 mA cm−2, high single‐pass CO conversion, and co‐production of ethylene, furoic acid, and a separate hydrogen stream.
Sungjin Park +18 more
wiley +1 more source
The transition from cryogenic distillation to polymeric sorbents for light hydrocarbon purification is crucial for energy and environmental sustainability. The polymeric sorbents are engineered to separate gas mixtures based on their specific properties.
Kelechi Festus +9 more
wiley +1 more source
Feature drift is a subtype of data distribution drift that occurs when the statistical significance of input features changes over time, despite the overall decision boundary remaining stable.
Porwik Piotr +2 more
doaj +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
TTDSP:A Cost-Effective Approach to Tracking Tuple in Data Stream Processing
The traditional data stream processing systems will keep all the tuples in the memory until they have been processed in order to provide reliable tuple processing.Unfortunately,the strategy will take up much memory.To address this issue,a cost-effective ...
Huaming Du +4 more
doaj +2 more sources
Roadmap of Concept Drift Adaptation in Data Stream Mining, Years Later
As machine learning models are increasingly applied to real-world scenarios, it is essential to consider the possibility of changes in the data distribution over time.
Osama A. Mahdi +5 more
doaj +1 more source
Polyphenol‐Inspired Materials for Agricultural Applications
This review outlines the use of polyphenol‐inspired materials for sustainable agriculture, highlighting their molecular design, interfacial assembly, structure–property relationships, and prospects toward precision agriculture, climate resilience, ecosystem protection, and circular bioeconomy strategies.
Haofu Liu +8 more
wiley +1 more source
Real-Time Emotion Classification Using EEG Data Stream in E-Learning Contexts. [PDF]
Nandi A, Xhafa F, Subirats L, Fort S.
europepmc +1 more source

