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The ADP-ribosylation factors (Arfs) are six proteins within the larger Arf family and Ras superfamily that regulate membrane traffic. Arfs all share numerous biochemical activities and have very similar specific activities. The use of dominant mutants and brefeldin A has been important to the discovery of the cellular functions of Arfs but lack specificity(More)
Chordoma is a rare, slow-growing primary malignant neoplasm of the axial skeleton, which arises from the remnants of the notochord. Emerging evidence suggests that microRNAs (miRs) are dysregulated in chordoma tissues and crucially involved in chordoma pathogenesis. In the present study, the expression of 11 candidate miRs were analyzed in chordoma tissues(More)
Pituitary tumor-transforming gene 1 (PTTG1) is identified as an oncogene, and overexpresses in many tumors. However, the role of PTTG1 in bladder cancer (BC) hasn't yet been characterized well. In this study, we showed the expression of PTTG1 mRNA and protein were both significantly increased in BC tissues and cells. The PTTG1 protein levels were positive(More)
In order to study the influence of the geometric figure on the service life of the converter, four different geometric figures of the converters were analyzed by using finite element method in this paper. Refractory material behavior was described by Drucker-Prager plasticity model combined with strain softening material behavior at tension, and most of the(More)
The first two authors contributed equally to this work. Running title: Arf isoform selective effects on traffic Abstract The ADP-ribosylation factors (Arfs) are six proteins within the larger Arf family and Ras superfamily that regulate membrane traffic. Arfs all share numerous biochemical activities and have very similar specific activities. The use of(More)
In this paper, we present an approach to classify Chinese digital gesture based on convolutional neural network (CNN). Principal Component Analysis (PCA) is employed to learn convolution kernels as the pre-training strategy. The learned convolution kernels are used for extracting features instead of the random convolution kernels. The convolutional layers(More)
Flow in unsaturated soil or soil stimulant, under different gravity conditions is investigated using a numerical model to ascertain the extent to which the lattice Boltzmann model observed flow behavior under reduced and variable gravity conditions. The results of the simulations indicate that the bulk behavior of unsaturated flow is predicted well by(More)
Telomere and Telomerase have recently been explored as anti-aging and anti-cancer drug targets with only limited success. Previously we showed that the Chinese herbal medicine Tianshengyuan-1 (TSY-1), an agent used to treat bone marrow deficiency, has a profound effect on stimulating Telomerase activity in hematopoietic cells. Here, the mechanism of TSY-1(More)
This paper proposes a recognition approach for Semaphore flag signaling (SFS). We use the improved convolutional neural network (CNN) to classify the SFS. In the experiment we made Semaphore flag signaling system (SFSS), which based on CNN. The image can be directly input into the SFSS. Each alphabetic character or control signal is indicated by a(More)
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