Multi-Granularity Temporal Embedding Transformer Network for Traffic Flow Forecasting.

Traffic flow forecasting is integral to transportation to avoid traffic accidents and congestion. Due to the heterogeneous and nonlinear nature of the data, traffic flow prediction is facing challenges. Existing models only utilize plain historical data for prediction.

Linguistic-Driven Partial Semantic Relevance Learning for Skeleton-Based Action Recognition.

Skeleton-based action recognition, renowned for its computational efficiency and indifference to lighting variations, has become a focal point in the realm of motion analysis. However, most current methods typically only extract global skeleton features, overlooking the potential semantic relationships among various partial limb motions. For instance, the subtle differences between actions such as "brush teeth" and "brush hair" are mainly distinguished by specific elements.

Identification of BZR1-interacting proteins as potential components of the brassinosteroid signaling pathway in Arabidopsis through tandem affinity purification.

Brassinosteroids (BRs) are essential phytohormones for plant growth and development. BRs are perceived by the cell surface receptor kinase BRI1, and downstream signal transduction through multiple components leads to activation of the transcription factors BZR1 and BZR2/BES1. BZR1 activity is highly controlled by BR through reversible phosphorylation, protein degradation, and nucleocytoplasmic shuttling.

[Analysis of contents of flavonoids in Mongolian medicine zhenbao pills II and III].

Both zhenbao pills II and III are Mongolian medicine of a kind. Zhenbao pill II was the artificial syntheses and zhenbao pill III was made from natural materials. In this paper, the flavonoids of Mongolian medicine zhenbao pills II and III were extracted by Soxhlet apparatus with methyl alcohol as extracting agent, the colorimetric method was applied to the determination of flavonoids, and the experimental procedure was studied with zhenbao pill II as the test sample.