Analysis of Stadium Operation Risk Warning Model Based on Deep Confidence Neural Network Algorithm.

In this paper, a deep confidence neural network algorithm is used to design and deeply analyze the risk warning model for stadium operation. Many factors, such as video shooting angle, background brightness, diversity of features, and the relationship between human behaviors, make feature attribute-based behavior detection a focus of researchers' attention. To address these factors, researchers have proposed a method to extract human behavior skeleton and optical flow feature information from videos. The key of the deep confidence neural network-based recognition method is the extraction of the human skeleton, which extracts the skeleton sequence of human behavior from a surveillance video, where each frame of the skeleton contains 18 joints of the human skeleton and the confidence value estimated for each frame of the skeleton, and builds a deep confidence neural network model to classify the dangerous behavior based on the obtained skeleton feature information combined with the time vector in the skeleton sequence and determine the danger level of the behavior by setting the corresponding threshold value. The deep confidence neural network uses different feature information compared with the spatiotemporal graph convolutional network. The deep confidence neural network establishes the deep confidence neural network model based on the human optical flow information, combined with the temporal relational inference of video frames. The key of the temporal relationship network-based recognition method is to extract some frames from the video in an orderly or random way into the temporal relationship network. In this paper, we use several methods for comparison experiments, and the results show that the recognition method based on skeleton and optical flow features is significantly better than the algorithm of manual feature extraction.

An Uncommon Cause of Contralateral Brachial Plexus Injury Following Jugular Venous Cannulation.

BACKGROUND The complication rate of central venous catheterization ranges from 4% to 35%. Brachial plexus injury can occur, mostly on the same side as the catheterization, without affecting the contralateral brachial plexus. CASE REPORT A 71-year-old woman received placement of a vein hemodialysis catheter via right internal jugular vein. Five days after the cannulation, she complained of contralateral burning pain and numbness at the ulnar side of her left forearm. On the next day, the pain increased and extended to her left shoulder girdle and whole left arm, despite use of analgesics. When she passively tilted her head to the right side, ear to shoulder, the pain increased in the left arm. We found the patient had a tight suture with which the jugular catheter was fixed. The patient persistently turned her head to the right and slightly flexed her neck to loosen the suture to avoid discomfort. We removed the suture and the central venous catheter. Her pain in the left shoulder and arm was diminished the next day. Three days later, the symptoms had all disappeared completely. CONCLUSIONS Central venous catheterization may cause contralateral brachial plexus injury, which may result from a tight suture with which the jugular catheter is fixed.

Knockdown of Collagen Triple Helix Repeat Containing 1 (CTHRC1) Inhibits Epithelial-Mesenchymal Transition and Cellular Migration in Glioblastoma Cells.

Collagen triple helix repeat containing 1 (CTHRC1), an extracellular matrix-related protein, has been found to be upregulated in many solid tumors and contributes to tumorigenesis. We found that CTHRC1 is overexpressed in glioblastoma tissues and cells. By using the technique of RNA interference, the expression of CTHRC1 in the human glioblastoma U-87MG cell line was downregulated, and the proliferation and migration of U-87MG cells were examined. The results showed that the knockdown of CTHRC1 exerts inhibitory effects on the proliferation and migration ability of U-87MG cells. Knockdown of CTHRC1 expression in U-87MG cells resulted in upregulation in the expression of E-cadherin and downregulation in the expression of N-cadherin, SNAIL, and Slug, suggesting that CTHRC1 inhibits glioblastoma cell migration by suppressing epithelial-mesenchymal transition (EMT). Knockdown of CTHRC1 led to remarkably decreased ß-catenin protein levels in the nucleus. These results indicate that CTHRC1 might play an important role in the development of glioblastoma and offer a candidate molecular target for glioblastoma prevention and therapy.