Publications by authors named "Shengsheng Dai"

The precise control of browning and enhancement of Maillard reaction kinetics to improve the surface functionality and nutrient encapsulation efficiency of soy proteins remains a significant challenge. This research presents an ultrasound-assisted cyclic reaction method (1-7 cycles) to synthesize soy protein isolate/dextran (SPI/D) conjugates with enhanced grafting degree and functionality during the Maillard reaction. The technique significantly increased the grafting degree to 65.

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Due to the uncertainty of the subsurface environment and the complexity of parameters, particularly in feature extraction from input data and when seeking to understand bidirectional temporal information, the evaluation and prediction of the rate of penetration (ROP) in real-time drilling operations has remained a long-standing challenge. To address these issues, this study proposes an improved LSTM neural network model for ROP prediction (CBT-LSTM). This model integrates the capability of a two-dimensional convolutional neural network (2D-CNN) for multi-feature extraction, the advantages of bidirectional long short-term memory networks (BiLSTM) for processing bidirectional temporal information, and the dynamic weight adjustment of the time pattern attention mechanism (TPA) for extracting crucial information in BiLSTM, effectively capturing key features in temporal data.

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Single-cell Raman spectroscopy was used to analyze the spore heterogeneity of 16 microsporidia strains from various insect hosts in order to better understand the basic biology of microsporidia. The Raman spectrum of a single spore revealed basic spore composition, and microsporidia spores in various hosts were found to be rich in trehalose. Principal component analysis and Raman intensity showed obvious heterogeneity in the trehalose, nucleic acid, and protein content of various spores; however, there was no correlation between various spore groups and host type.

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