Results 161 to 170 of about 1,045,616 (359)
Pillared Laminar Vermiculite Membranes with Tunable Monovalent and Multivalent Ion Selectivity
Alumina pillared vermiculite membrane is fabricated with a laminar structure. Enhanced water stability is observed due to the strengthened interlamellar binding. Through cation doping, the surface charge and pore size of the pillared laminar membrane are tuned, demonstrating highly selective and tunable ion sieving performance promising for water ...
Yining Liu+6 more
wiley +1 more source
Farm type delineation allows for simplifying the diversity in fish farming systems. Multivariate statistical techniques combined with the Calinski and Harabasz pseudo F statistic and bootstrapping were applied to determine the realistic number of fish farm types.
Ygue Patrice Adegbola+2 more
wiley +1 more source
Deep learning for sentiment analysis
AbstractResearch and industry are becoming more and more interested in finding automatically thepolarised opinionof the general public regarding a specific subject. The advent ofsocial networkshas opened the possibility of having access tomassive blogs,recommendations, andreviews.
openaire +3 more sources
Mechanical and Light Activation of Materials for Chemical Production
The actuation of stomata—referring to their opening and closing—is crucial for photosynthesis because it regulates gas exchange and water balance. Here, it is investigated if this life‐like property could enhance the photocatalytic properties of soft materials.
Luka Đorđević+7 more
wiley +1 more source
Abstract By 2022, the European Commission seeks to introduce harmonized, mandatory front‐of‐pack (FOP) nutrition labeling. The color‐graded Nutri‐Score is at the heart of the European debate. Yet, little is known about how the information provided in back‐of‐pack (BOP) nutrition tables interacts with evaluative FOP labels, such as Nutri‐Score, and if ...
Birgit Gassler+2 more
wiley +1 more source
A multimodal approach to cross-lingual sentiment analysis with ensemble of transformer and LLM
Sentiment analysis is an essential task in natural language processing that involves identifying a text’s polarity, whether it expresses positive, negative, or neutral sentiments.
Md Saef Ullah Miah+5 more
doaj +1 more source
This study reports the discovery of a stable γ‐phase in Cu6Te3‐xS1+x, achieving high thermoelectric performance with a Seebeck coefficient up to 200 µVK⁻¹ and ultralow thermal conductivity (≈0.25 Wm⁻¹K⁻¹). The material eliminates phase transitions, exhibits a zT of ≈1.1 at 500 K, and offers a cost‐effective, eco‐friendly alternative for waste heat ...
Oleksandr Cherniushok+3 more
wiley +1 more source
Public Sentiment Analysis on Bullying Cases of Binus Serpong Students Using the Naive Bayes Method
Sentiment analysis has evolved into a vital tool for comprehending public perceptions of social issues, including bullying cases in educational settings.
Anggelia Dwi Rahayu+1 more
doaj +1 more source
Multi-aspect Sentiment Analysis with Topic Models [PDF]
Bin Lu+3 more
openalex +1 more source
Shortwave Infrared Light Detection and Ranging Using Silver Telluride Quantum Dots
Post‐synthesis surface engineering and doping control significantly improve the performance of Ag₂Te CQD photodiodes, achieving a low dark current of 450 nA cm−2 at −0.5 V, an LDR exceeding 150 dB, and a rapid response speed of ≈25 ns. A proof‐of‐concept LiDAR demonstration in the SWIR using a nanosecond diode laser, achieves decimetre‐level resolution
Yongjie Wang+6 more
wiley +1 more source