Methylation Status of Transcriptional Modulatory Genes Associated with Colorectal Cancer in Northeast China

Han-Lu Gao,Xuan Wang,Hong-Ru Sun,Jun-De Zhou,Shang-Qun Lin,Yu-Hang Xing,Lin Zhu,Hai-Bo Zhou,Ya-Shuang Zhao,Qiang Chi,Yu-Peng Liu 거트앤리버 소화기연관학회협의회 2018 Gut and Liver Vol.12 No.2

Background/Aims: Methylation status plays a causal role in carcinogenesis in targeted tissues. However, the relationship between the DNA methylation status of multiple genes in blood leukocytes and colorectal cancer (CRC) susceptibility as well as interactions between dietary factors and CRC risks are unclear. Methods: We performed a case-control study with 466 CRC patients and 507 cancer-free controls to investigate the association among the methylation status of individual genes, multiple CpG site methylation (MCSM), multiple CpG site heterogeneous methylation and CRC susceptibility. Peripheral blood DNA methylation levels were detected by performing methylation-sensitive high-resolution melting. Results: Total heterogeneous methylation of CA10 and WT1 conferred a significantly higher risk of CRC (adjusted odds ratio [ORadjusted], 5.445; 95% confidence interval [CI], 3.075 to 9.643; ORadjusted, 1.831; 95% CI, 1.100 to 3.047; respectively). Subjects with high-level MCSM (MCSM-H) status demonstrated a higher risk of CRC (ORadjusted, 4.318; 95% CI, 1.529 to 12.197). Additionally, interactions between the high-level intake of fruit and CRH, WT1, and MCSM on CRC were statistically significant. Conclusions: The gene methylation status of blood leukocytes may be associated with CRC risk. MCSM-H of blood leukocytes was associated with CRC, especially in younger people. Some dietary factors may affect hypermethylation status and influence susceptibility to CRC.

Hand Gesture Segmentation Method Based on YCbCr Color Space and K-Means Clustering

Zhang Qiu-yu,Lu Jun-chi,Zhang Mo-yi,Duan Hong-xiang,Lv Lu 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.5

Aiming at the problems that current skin-color detection segmentation technologies have unsatisfied segmentation results under conditions of complex illumination or backgrounds, we present a new method based on YCbCr color space and K-means clustering algorithm for segmentation hand gesture. Firstly, image in RGB color space is converted to YCbCr color space; and then YCbCr color space of image is divided into luminance Y and chrominance Cb and Cr. Lastly, the binary image is achieved by clustering values of chrominance using k-means clustering algorithm, and hand gesture segmentation is completed by conducting morphological process of binary image obtained. The experimental results illustrate that the proposed method can segment hand gestures from complex backgrounds and obtain segmentation results. The phenomena of similar skin color interference and skin color overlapping are solved with this method effectively. In addition, it is robust to illumination condition.

A Dynamic Gesture Trajectory Recognition Based on Key Frame Extraction and HMM

Zhang Qiu-yu,Lv Lu,Zhang Mo-yi,Duan Hong-xiang,Lu Jun-chi 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.6

Aiming at changing high computational complexity, underdeveloped real time, low recognition rate of dynamic gesture recognition algorithms, this paper present a real-time dynamic gesture trajectory recognition method based on key frame extraction and HMM. Key frames are selected without keeping track of all the details of one dynamic gesture, which is based on difference degree between frames. The trajectory data stream, sorted by the time-warping algorithm, is used to construct the Hidden Markov Method model of dynamic gesture. Finally, optimal transition probabilities are employed to implement dynamic gesture recognition. The result of this experiment implies that this method has high robustness and real time. The average recognition rate of dynamic gesture (0~9) is up to 87.67%, and average time efficiency is 0.46s.

Dynamic Hand Gesture Segmentation Method Based on Improved Kalman Filter and Weighted Skin-Color Model

Zhang Qiu-yu,Lu Jun-chi,Wei Hui-yi,Zhang Mo-yi,Duan Hong-xiang 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.6

In order to improve the problems of segmentation accuracy and real-time existing in dynamic hand gesture under complex backgrounds, this paper presents a kind of dynamic hand gesture segmentation method based on improved Kalman filter and weighted skin-color model. Firstly, improved Kalman filter is utilized to process hand gesture image of hand gesture video sequences and get rough hand gesture results. Secondly, weighted skin-color model is applied to process rough results of hand gesture segmentation and segment hand gesture. Finally, morphological method is utilized to deal with gesture segmentation result, getting rid of the holes in the hand gesture’s binary image to realize the segmentation of dynamic hand gesture. Experiments show that the proposed method can segment hand gesture from dynamic hand gesture video sequences with complex backgrounds effectively. And the accuracy of hand gesture segmentation is high.

Dynamic Hand Gesture Trajectory Recognition Based on Block Feature and Skin-Color Clustering

Zhang Qiu-yu,Lv Lu,Lu Jun-chi,Zhang Mo-yi,Duan Hong-xiang 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.12

In recent years, dynamic hand gesture recognition has been a research hotspot of human-computer interaction. Since most existing algorithms contain problems with high computational complexity, poor real-time performance and low recognition rate, which cannot satisfy the need of many practical applications. Moreover, key frames obtained by inter-frame difference degree algorithm contain less information, which leads to less identified species and lower recognition rate. To solve these problems, we present a dynamic hand gesture trajectory recognition method based on the theory of block feature to extract key frames and the skin-color clustering’s hand gesture segmentation. Firstly, this method extracts block feature of degree of difference between frames in hand gesture sequence to select key frames accurately. Secondly, the method based on skin-color clustering is applied to obtain the area of hand gesture after segmenting hand gestures from images. Finally, hidden Markov model (HMM), in which the angle data of hand gesture trajectories are input, is used for modeling and identifying dynamic hand gestures. Experimental results show that the method of key-frame extraction is used to obtain information of dynamic hand gestures accurately, which would improve the recognition rate of dynamic hand gesture recognition and, at the same time, can guarantee the real-time of hand gesture recognition system. The average recognition rate is up to 86.67%, and the average time efficiency is 0.39s.

Effect of octadecylamine concentration on adsorption on carbon steel surface

Canshuai Liu,Genxian Lin,Yun Sun,Jundong Lu,Jun Fang,Chun Yu,Lisheng Chi,Ke Sun 한국원자력학회 2020 Nuclear Engineering and Technology Vol.52 No.10

Octadecylamine is an effective film-forming amine that protects carbon steel from corrosion. In the present study, the effect of octadecylamine concentration on adsorption on a carbon steel surface was investigated in anaerobic alkaline solution by using SEM/EDS, TEM and the Materials Studio simulation techniques. TEM morphology observation and EDS elemental detection determine the thicknesses of octadecylamine film on a carbon steel surface, which are confirmed by the in-situ electrochemical impedance spectroscopy measurement and resistance calculation. The Materials Studio simulation reveals the number of octadecylamine film layers at different concentrations. Results obtained in this study indicate that adsorption of octadecylamine film on carbon steel proceeds with the multi-layer adsorption mechanism.

Efficacy and Safety of Ombitasvir/Paritaprevir/Ritonavir and Dasabuvir in Non-Cirrhotic Asian Patients with Genotype 1b HCV Infection: ONYX-I SVR24 Results

( Lai Wei ),( Jinlin Hou ),( Yan Luo ),( Jeong Heo ),( Chi-jen Chu ),( Zhongping Duan ),( Mong Cho ),( Jun Cheng ),( Jun Li ),( Jidong Jia ),( Wenjing Lu ),( Linda M Fredrick ),( Tami Pilot-matias ),( 대한간학회 2017 춘·추계 학술대회 (KASL) Vol.2017 No.1

Aims: HCV genotype 1b is the most common genotype in Asian patients. ONYX-I is a phase 3, randomised, double-blind, placebo-controlled study of the 3-DAA regimen of OBV/PTV/r and DSV in treatment- naive and treatment-experienced non-cirrhotic patients with HCV GT1b infection in China, South Korea and Taiwan. Methods: In this study, the safety/efficacy of OBV/PTV/r + DSV administered for 12 weeks were evaluated in non-cirrhotic Asian patients. Patients in Arm A received active study drug during a 12-week double-blind (DB) period, while patients in Arm B received placebo during the same period followed by an open-label (OL) period in which they received 12 weeks of active study drug. Efficacy was assessed by SVR12 and SVR24. Efficacy and safety were assessed in all patients who received at least one dose of active study drugs. Results: 650 HCV GT1b patients (54% female, 100% Asian, 44% treatment-experienced) were enrolled from China (n=410) South Korea (n=120) and Taiwan (n=120), and randomised 1:1 to Arms A and B. In Arm A, SVR12 and SVR24 rates were 99.5% (183/184) in treatment-naive patients and 100% (141/141) in treatment- experienced patients. Most treatment-emergent adverse events (TEAEs) in patients receiving the active drug were mild in severity. The most common (≥5%) TEAEs in Arm A were upper respiratory tract infection (10.5%), headache (6.2%) and dizziness (5.2%). Seven patients had serious AEs during active treatment (Arm A) and one patient in Arm A discontinued treatment. Conclusions: In non-cirrhotic Asian adults with HCV GT1b-infection, treated with OBV/PTV/r + DSV for 12 weeks, SVR24 rates equalled previously reported SVR12 rates from this study (99.5% of treatment- naive and 100% of treatment-experienced patients), and are consistent with other clinical trials with this drug combination. The treatment was generally well tolerated with mostly mild TEAEs reported.