This work aims to introduce Long Short-Term Memory (LSTM) under the Internet of Things (IoT) context to enhance the accuracy and granularity of sentiment analysis in animated online education texts.It employs a multimodal data collection approach and uses IoT technology to gather multimodal textual data from students engaged in animated online educ
Research Progress on the Extraction, Structure, and Bioactivities of Polysaccharides from Coriolus versicolor
Coriolus is the dried fruiting body of Coriolus versicolor (L.ex Fr.) Quel.C.versicolor (CV) is a worldwide-distributed fungus, which is common and widely used in primitive forests in the northern hemisphere.Polysaccharide, as the main active ingredient in CV, has a variety of biological activities, such as promoting Pipe Tools immune function, ant
Sample-to-answer platform for the clinical evaluation of COVID-19 using a deep learning-assisted smartphone-based assay
Abstract Since many lateral flow assays (LFA) are tested daily, the improvement in accuracy can greatly impact individual patient care and public health.However, current self-testing for COVID-19 detection suffers from low accuracy, mainly due to the Hoodies/Fleece LFA sensitivity and reading ambiguities.Here, we present deep learning-assisted smar