Adaptive Action Assessment.

Action assessment, the process of evaluating how well an action is performed, is an important task in human action analysis. Action assessment has experienced considerable development based on visual cues; however, existing methods neglect to adaptively learn different architectures for varied types of actions and are therefore limited in achieving high-performance assessment for each type of action. In fact, every type of action has specific evaluation criteria, and human experts are trained for years to correctly evaluate a single type of action. Therefore, it is difficult for a single assessment architecture to achieve high performance for all types of actions. However, manually designing an assessment architecture for each specific type of action is very difficult and impracticable. This work addresses this problem by adaptively designing different assessment architectures for different types of actions, and the proposed approach is therefore called the adaptive action assessment. In order to facilitate our adaptive action assessment by exploiting the specific joint interactions for each type of action, a set of graph-based joint relations is learned for each type of action by means of trainable joint relation graphs built according to the human skeleton structure, and the learned joint relation graphs can visually interpret the assessment process. In addition, we introduce using a normalized mean squared error loss (N-MSE loss) and a Pearson loss that perform automatic score normalization to operate adaptive assessment training. The experiments on four benchmarks for action assessment demonstrate the effectiveness and feasibility of the proposed method. We also demonstrate the visual interpretability of our model by visualizing the details of the assessment process.

[The study of serine/threonine kinase signaling pathway-mediated inhibition of proliferation and invasion of oral squamous cell carcinoma transfected with p53 gene].

OBJECTIVE: To evaluate the molecular mechanism of proliferation and invasion inhibition in oral squamous cell carcinoma transfected with recombinant adenovirus-p53 (Ad-p53). METHODS: Tca8113 cell lines were transfected with Ad-p53. Then the effect of p53 overexpression on cancer cells proliferation and invasion was observed. The expression of mitogen-activated protein kinase (MAPK), serine/threonine kinase (AKT) signaling pathway related proteins, cell cycle and apoptosis related proteins Cyclin D1, P21 and Bcl-2 were detected by Western blotting analysis. RESULTS: After transfected with Ad-p53, the proliferation and invasion of Tca8113 cells were significantly inhibited (P < 0.01) and the apoptosis of Tca8113 cells significantly increased (P < 0.001). The results of Western blotting demonstrated that the protein expression of P53 and P21 significantly increased, Cyclin D1 and Bcl-2 protein expression and phosphorylation of AKT protein significantly decreased (P < 0.01). CONCLUSION: The AKT signaling pathway may be a key molecular mechanism for proliferation and invasion inhibition of oral squamous cell carcinoma caused by p53. The protein of Cyclin D1, P21 and Bcl-2 may be the downstream targets of AKT signaling pathway. This may provide a new evidence for AKT pathway and downstream targets as a promising therapeutic target for malignant tumors.