Dynamic monitoring and anomaly tracing of the quality in tobacco strip processing based on improved canonical variable analysis and transfer entropy.

Multivariate statistical monitoring methods are proven to be effective for the dynamic tobacco strip manufacturing process. However, the traditional methods are not sensitive enough to small faults and the practical tobacco processing monitoring requires further root cause of quality issues. In this regard, this study proposed a unified framework of detection-identification-tracing.

A Short-Term Hybrid TCN-GRU Prediction Model of Bike-Sharing Demand Based on Travel Characteristics Mining.

This paper proposes an accurate short-term prediction model of bike-sharing demand with the hybrid TCN-GRU method. The emergence of shared bicycles has provided people with a low-carbon, green and healthy way of transportation. However, the explosive growth and free-form development of bike-sharing has also brought about a series of problems in the area of urban governance, creating a new opportunity and challenge in the use of a large amount of historical data for regional bike-sharing traffic flow predictions.

A highly selective and sensitive probe for Cu2+ based on rhodamine-pyridazine conjugate and its application.

A naked-eye fluorescent chemodosimeter based on rhodamine-pyridazine conjugate L was synthesized and characterized. L exhibited high selectivity and excellent sensitivity in both absorbance and fluorescence detection of Cu(2+) in aqueous solution with a broad pH span (1-10). The detection limit of the probe was shown to be up to 0.