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( Junling Wang ),( Ping Li ),( Zhilong Jiang ),( Qiuhui Yang ),( Yuqiang Mi ),( Yonggang Liu ),( Ruifang Shi ),( Yonghe Zhou ),( Jinsheng Wang ),( Wei Lu ),( Si Li ),( Dan Liu ) 대한내과학회 2016 The Korean Journal of Internal Medicine Vol.31 No.3
Background/Aims: This study aimed to verify the reliability of the alcoholic liver disease (ALD)/nonalcoholic fatty liver disease (NAFLD) index (ANI) for distinguishing ALD in patients with hepatic steatosis from NAFLD, and to investigate whether ANI combined with γ-glutamyl transferase (GGT) would enhance the accuracy of diagnosis in China. Methods: A hundred thirty-nine cases of fatty liver disease (FLD) were divided into two groups of ALD and NAFLD. The ANI was calculated with an online calculator. All indicators and ANI values were analyzed using statistical methods. Results: ANI was significantly higher in patients with ALD than in those with NAFLD (7.11 ± 5.77 vs. .3.09 ± 3.89, p < 0.001). With a cut-off value of .0.22, the sensitivity, specificity, and area under the receiver operating characteristic curve (AUROC) of diagnosed ALD cases was 87.1%, 92.5%, and 0.934 (95% confidence interval [CI], 0.879 to 0.969), respectively. The corresponding values for aspartate aminotransferase (AST)/alanine transaminase (ALT), mean corpuscular volume (MCV), and GGT were 75.29%, 72.94%, and 0.826 (95% CI, 0.752 to 0.885); 94.34%, 83.02%, and 0.814 (95% CI, 0.739 to 0.875) and 80.23%, 79.25%, and 0.815 (95% CI, 0.740 to 0.876), respectively. ANI AUROC was significantly higher than the AST/ ALT, MCV, or GGT AUROCs (all p < 0.001), moreover, ANI showed better diagnostic performance. The combination of ANI and GGT showed a better AUROC than ANI alone (0.976 vs. 0.934, p = 0.016). The difference in AUROCs between AST/ALT, MCV, and GGT was not statistically significant (all p > 0.05). Conclusions: ANI can help distinguish ALD from NAFLD with high accuracy; when ANI was combined with GGT, its effectiveness improved further.
Liu Junling,Zhang Yawen 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.10
With the development of network technology and the popularization of mobile terminals, the research and development of M-Learning resources based on iPad-user interaction technology, namely e-textbooks, has attracted increasing attention in global educative reforms. On the basis of the research on iPad’s user-machine interaction technology, this paper takes the bilingual e-textbooks development of The Kazak Alphabet as an example. It proposes basic steps and framework of the research and development and summarizes the key interaction technology and the ways of realization of preparing, developing, packaging and publishing in the hope that it can provide the foundation for the development of M-Learning and bilingual education.
Visual Fatigue Reduction Based on Depth Adjustment for DIBR System
( Ran Liu ),( Yingchun Tan ),( Fengchun Tian ),( Hui Xie ),( Guoqin Tai ),( Weimin Tan ),( Junling Liu ),( Xiaoyan Xu ),( Chaibou Kadri ),( Naana Abakah ) 한국인터넷정보학회 2012 KSII Transactions on Internet and Information Syst Vol.6 No.4
A depth adjustment method for visual fatigue reduction for depth-image-based rendering (DIBR) system is proposed. One important aspect of the method is that no calibration parameters are needed for adjustment. By analyzing 3D image warping, the perceived depth is expressed as a function of three adjustable parameters: virtual view number, scale factor and depth value of zero parallax setting (ZPS) plane. Adjusting these three parameters according to the proposed parameter modification algorithm when performing 3D image warping can effectively change the perceived depth of stereo pairs generated in DIBR system. As the depth adjustment is performed in simple 3D image warping equations, the proposed method is facilitative for hardware implementation. Experimental results show that the proposed depth adjustment method provides an improvement in visual comfort of stereo pairs as well as generating comfortable stereoscopic images with different perceived depths that people desire.