Results 231 to 240 of about 1,223,156 (290)

Raman Spectroscopy and Generative Variational Autoencoders for Metallurgical Coke Quality Prediction

open access: yesJournal of Raman Spectroscopy, EarlyView.
An integrated soft sensor framework combining standardized Raman spectroscopy, synergy‐vector feature selection, variational autoencoder‐based data augmentation, and regression models (kNN, PLS, and SVR) predicts metallurgical coke quality (CSR and DI).
Pedro Henrique Agrimpio Coutinho   +2 more
wiley   +1 more source

Effects of mixed microbial fermentation on the quality and metabolite profile of cassava leaf feed based on untargeted metabolomics

open access: yesJSFA reports, EarlyView.
Abstract Background Cassava leaves are a major byproduct of cassava processing and have a low utilization rate. In this study, Lactiplantibacillus plantarum, Saccharomyces cerevisiae, and Bacillus subtilis were used for solid‐state fermentation of cassava leaves to improve their feed quality. Results After 48 h of fermentation, the feed pH decreased to
Mengjun Zhou   +4 more
wiley   +1 more source

Research on Tin Bath Bottom Bricks for Float Glass Furnaces. [PDF]

open access: yesMaterials (Basel)
Guo K   +6 more
europepmc   +1 more source

Styrene and its natural analogues: accumulation and sustainable production methods

open access: yesJournal of the Science of Food and Agriculture, EarlyView.
Abstract Styrene, also known as vinyl benzene, is a colourless, highly volatile petrochemical that serves as a key monomer in the production of polystyrene and styrene‐butadiene rubber. Its industrial synthesis via the alkylation of benzene with ethylene relies on fossil fuels, requiring high temperatures and toxic catalysts that contribute to ...
Mwafaq Ibdah   +6 more
wiley   +1 more source

Accuracy of Key Sonographic Markers for Juxta‐Articular Fractures

open access: yesJournal of Ultrasound in Medicine, EarlyView.
Objectives To systematically evaluate sonographic features of long bone juxta‐articular fractures and identify key diagnostic predictors using machine learning‐based feature selection. Methods This prospective single‐center diagnostic accuracy study enrolled 121 patients with clinically suspected juxta‐articular fractures.
Xiaofang Fu   +11 more
wiley   +1 more source

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