Impaired Delta Np63 Expression is Associated with Poor Tumor Development in Transitional Cell Carcinoma of the Bladder

Yunfeng He,Xiaohou Wu,Wei Tang,Daiyin Tian,Chunli Luo,Zhikang Yin,Hu Du 대한의학회 2008 Journal of Korean medical science Vol.23 No.5

The oncogenic isoform of the p63 protein, delta Np63 ( Np63), plays an important role in the pathogenesis of many epithelial carcinomas, and emerging evidences suggest that Np63 is a promising drug target. However, the functions of Np63 in transitional cell carcinoma of bladder (TCCB) are poorly defined. In this study, a Np63 shRNA expression vector was transfected into TCCB cell line 5637 and cell cycling, cell proliferation and protein expression were assessed by flow cytometry and 3-(4, 5-Dimethylthiazol-2-yl)-2, 5-dimethyl tetrazolium bromide (MTT) assay, and immunohistochemistry, respectively. The Np63 shRNA expression vector was also injected into 5637 cell xenograft tumors in nude mice, and tumor size was measured, tumor tissue morphology was assessed by immunohistopathology and transmission electron microscopy. In the in vitro study, Np63 shRNA transfection caused successful Np63 gene silencing and resulted in significant arrest of cell cycling and cellular proliferation (p<0.05) as well as cyclin D1 expression. In the nude mouse xenograft model, Np63 shRNA greatly inhibited tumor growth, induced tumor cell apoptosis (p<0.05) and resulted in cyclin D1 downregulation. Our data suggest that Np63 may play an oncogenic role in TCCB progression through promoting cell survival and proliferation. Intratumoral administration of Np63-specific shRNA suppressed tumor Np63 expression and cellular proliferation while promoted tumor cellular apoptosis, and therefore inhibited tumor growth and improved survival of xenograft-bearing mice, which was not accompanied by significant signs of systemic toxicity.

Aerodynamic performance of a novel wind barrier for train-bridge system

He, Xuhui,Shi, Kang,Wu, Teng,Zou, Yunfeng,Wang, Hanfeng,Qin, Hongxi Techno-Press 2016 Wind and Structures, An International Journal (WAS Vol.23 No.3

An adjustable, louver-type wind barrier was introduced in this study for improving the running safety and ride comfort of train on the bridge under the undesirable wind environment. The aerodynamic characteristics of both train and bridge due to this novel wind barrier was systematically investigated based on the wind tunnel tests. It is suggested that rotation angles of the adjustable blade of the louver-type wind barrier should be controlled within $90^{\circ}$ to achieve an effective solution in terms of the overall aerodynamic performance of the train. Compared to the traditional grid-type wind barrier, the louver-type wind barrier generally presents better aerodynamic performance. Specifically, the larger decrease of the lift force and overturn moment of the train and the smaller increase of the drag force and torsional moment of the bridge resulting from the louver-type wind barrier were highlighted. Finally, the computational fluid dynamics (CFD) technique was applied to explore the underlying mechanism of aerodynamic control using the proposed wind barrier.

Aerodynamic performance of a novel wind barrier for train-bridge system

Xuhui He,Kang Shi,Teng Wu,Yunfeng Zou,Hangfeng Wang,HongXi Qin 한국풍공학회 2016 Wind and Structures, An International Journal (WAS Vol.23 No.3

An adjustable, louver-type wind barrier was introduced in this study for improving the running safety and ride comfort of train on the bridge under the undesirable wind environment. The aerodynamic characteristics of both train and bridge due to this novel wind barrier was systematically investigated based on the wind tunnel tests. It is suggested that rotation angles of the adjustable blade of the louver-type wind barrier should be controlled within 90 to achieve an effective solution in terms of the overall aerodynamic performance of the train. Compared to the traditional grid-type wind barrier, the louver-type wind barrier generally presents better aerodynamic performance. Specifically, the larger decrease of the lift force and overturn moment of the train and the smaller increase of the drag force and torsional moment of the bridge resulting from the louver-type wind barrier were highlighted. Finally, the computational fluid dynamics (CFD) technique was applied to explore the underlying mechanism of aerodynamic control using the proposed wind barrier.

NiO/Ti3C2Tx MXene nanocomposites sensor for ammonia gas detection at room temperature

Jiacheng Yang,Yingang Gui,Yunfeng Wang,Shasha He 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.119 No.-

Poultry feeding will lead to a large amount of ammonia(NH3) emissions, which will seriously affect thequality of meat. Herein, we report a resistive sensor based on NiO/Ti3C2Tx sensitive nanocompositesfor NH3 detection in a natural environment. The nanocomposites were prepared by modifying twodimensional(2D) Ti3C2Tx MXene with nickel oxide (NiO) nanoparticles (NPs) by a simple ultrasonicself-assembly method. The results show that the NiO/Ti3C2Tx MXene nanocomposite sensor exhibits ahigh sensitivity of 6.13 % to 50 ppm NH3 at room temperature (RT), which is 8.7 times higher than thatof the pure Ti3C2Tx MXene sensor. In other words, the addition of NiO NPs can significantly enhance thegas-sensing response of pure Ti3C2Tx MXene to NH3 at RT. Meanwhile, the response and recovery timewere also effectively improved (63 s/19 s) due to the addition of NiO NPs. Furthermore, the responseof the nanocomposite sensor to volatile organic compounds (VOCs) was investigated, and the resultsshowed its prospective and high selectivity. On the other hand, the nanocomposite sensor exhibits goodrepeatability and long-term stability. Finally, a possible sensing mechanism is proposed to improve sensorperformance.

Explainable radionuclide identification algorithm based on the convolutional neural network and class activation mapping

Wang Yu,Yao Qingxu,Zhang Quanhu,Zhang He,Lu Yunfeng,Fan Qimeng,Jiang Nan,Yu Wangtao 한국원자력학회 2022 Nuclear Engineering and Technology Vol.54 No.12

Radionuclide identification is an important part of the nuclear material identification system. The development of artificial intelligence and machine learning has made nuclide identification rapid and automatic. However, many methods directly use existing deep learning models to analyze the gammaray spectrum, which lacks interpretability for researchers. This study proposes an explainable radionuclide identification algorithm based on the convolutional neural network and class activation mapping. This method shows the area of interest of the neural network on the gamma-ray spectrum by generating a class activation map. We analyzed the class activation map of the gamma-ray spectrum of different types, different gross counts, and different signal-to-noise ratios. The results show that the convolutional neural network attempted to learn the relationship between the input gamma-ray spectrum and the nuclide type, and could identify the nuclide based on the photoelectric peak and Compton edge. Furthermore, the results explain why the neural network could identify gamma-ray spectra with low counts and low signal-to-noise ratios. Thus, the findings improve researchers’ confidence in the ability of neural networks to identify nuclides and promote the application of artificial intelligence methods in the field of nuclide identification.

Regeneration of full-scale commercial honeycomb monolith catalyst (V2O5–WO3/TiO2) used in coal-fired power plant

Xuesong Shang,Gongren Hu,Chi He,Jinping Zhao,Fuwang Zhang,Ya Xu,Yunfeng Zhang,Jianrong Li,Jinsheng Chen 한국공업화학회 2012 Journal of Industrial and Engineering Chemistry Vol.18 No.1

An effective and applicable method for the regeneration of used commercial full-scale honeycomb monolith catalysts in China (V2O5–WO3/TiO2) is firstly reported. The de-ionized water and dilute sulfuric acid solution with a relatively low concentration (pH = 2) are potent reagent to regenerated the catalysts used for about 30,000 h in coal-fired power plant. All samples were systematically characterized by TEM,N2 adsorption/desorption, EDX, FT-IR and XPS techniques. The evaluation results reveal that the activity of the used catalysts can be obviously improved after regeneration processes. Moreover, the regenerated catalysts possess superior activity under different gas hourly space velocity (GHSV), and SO2 oxidation rate is lower than 1% in all cases. The regeneration method can remove the deposits, restore active sites and prevent nanoparticles aggregation as well as active phases leaching. Overall, these processes have promised as effective approaches for industrial V2O5–WO3/TiO2 catalysts regeneration.