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Yan Xing,Yuan Zhao,Ning Guo,Cun-Xue Pan,Gulina Azati,Yan-Wei Wang,Wen-Ya Liu 대한영상의학회 2017 Korean Journal of Radiology Vol.18 No.6
Objective: Using a pulsating coronary artery phantom at high heart rate settings, we investigated the efficacy of a motion correction algorithm (MCA) to improve the image quality in dual-energy spectral coronary CT angiography (CCTA). Materials and Methods: Coronary flow phantoms were scanned at heart rates of 60−100 beats/min at 10-beats/min increments, using dual-energy spectral CT mode. Virtual monochromatic images were reconstructed from 50 to 90 keV at 10-keV increments. Two blinded observers assessed image quality using a 4-point Likert Scale (1 = non-diagnostic, 4 = excellent) and the fraction of interpretable segments using MCA versus conventional algorithm (CA). Comparison of variables was performed with the Wilcoxon rank sum test and McNemar test. Results: At heart rates of 70, 80, 90, and 100 beats/min, images with MCA were rated as higher image scores compared to those with CA on monochromatic levels of 50, 60, and 70 keV (each p < 0.05). Meanwhile, at a heart rate of 90 beats/min, image interpretability was improved by MCA at a monochromatic level of 60 keV (p < 0.05) and 70 keV (p < 0.05). At a heart rate of 100 beats/min, image interpretability was improved by MCA at monochromatic levels of 50 keV (from 69.4% to 86.1%, p < 0.05), 60 keV (from 55.6% to 83.3%, p < 0.05) and 70 keV (from 33.3% to 69.3%, p < 0.05). Conclusion: Low-keV monochromatic images combined with MCA improves image quality and image interpretability in CCTAs at high heart rates.
ON THE RECURSIVE SEQUENCE X_{n+1} = $\alpha$ - (X_n/X_n-1)
YAN, XING XUE,LI, WAN TONG,ZHAO, ZHU 한국전산응용수학회 2005 Journal of applied mathematics & informatics Vol.17 No.1
We study the global asymptotic stability, global attractivity, boundedness character, and periodic nature of all positive solutions and all negative solutions of the difference equation $$x_{n+1}\;=\;{\alpha}-{\frac{x_{n-1}}{x_{n}},\;n=0,1,\;{\cdots}$$, where ${\alpha}\;\in\; R$ is a real number, and the initial conditions $x_{-1},\;x_0$ are arbitrary real numbers.
On the recursive sequence$x_{n+1}=\alpha-(x_n/x_{n-1})$
Xing-Xue Yan,Wan-Tong Li,Zhu Zhao 한국전산응용수학회 2005 Journal of applied mathematics & informatics Vol.17 No.1-2
We study the global asymptotic stability, global attractivity, boundedness character, and periodic nature of all positive solutions and all negative solutions of the difference equation xn+1 = − xn xn−1 , n = 0, 1, · · · , where 2 R is a real number, and the initial conditions x−1, x0 are arbitrary real numbers
( Xue Jun Cao ),( Jian Hua Zhou ),( Zhen Hui Huang ),( Xing Yan Wu ),( Byung Ki Hur ) 한국미생물 · 생명공학회 2002 Journal of microbiology and biotechnology Vol.12 No.2
A novel process for urokinase purification was studied using p-aminobenzamidine as the ligand and sepharose 4B as the matrix. The adsorption, washing, and elution conditions were optimized by an unusual method. An adsorption buffer containing 2.5 M NaCl and 1% Tween 80 facilitated the adsorption of urokinase on the affinity media and prevented contaminants from binding to the p-aminobenzamidine affinity gel. It was found that 5% Tween 80 removed most of the contaminants from the affinity column. A 0.2 M glycine elution buffer containing 0.5 M NaCl (pH 3.0) was found to have a strong elution ability with a high recovery and purity of urokinase. A crude urokinase material of 231 IU/mg protein from human urine was purified to 124,300 IU/mg protein with a purification factor of 538 and yield of 86.7%. As a result, a high purity urokinase was obtained with only a single affinity chromatography step. The purification process was successfully scaled-up to a 2-1 chromatography column. The resulting urokinase eluate could be directly lyophilized, thereby complying with Chinese pharmacopoeia (1995 version) standards.
Variable Coefficient Inductance Model-Based Four-Quadrant Sensorless Control of SRM
Song-Yan Kuai,Xue-Feng Li,Xing-Hong Li,Jinyang Ma 전력전자학회 2014 JOURNAL OF POWER ELECTRONICS Vol.14 No.6
The phase inductance of a switch reluctance motor (SRM) is significantly nonlinear. With different saturation conditions, the phase inductance shape is clearly changed. This study focuses on the relationship between coefficient and current in an inductance model with ignored harmonics above the order of 3. A position estimation method based on the variable coefficient inductance model is proposed in this paper. A four-quadrant sensorless control system of the SRM drive is constructed based on the relationship between variable coefficient inductance and rotor position. The proposed algorithms are implemented in an experimental SRM test setup. Experimental results show that the proposed method estimates position accurately in operating two/four-quadrants. The entire system also has good static and dynamic performance.
Ning Xue,Jian-Hua Lin,Shan Xing,Dan Liu,Shi-Bing Li,Yan-Zhen Lai,Xue-Ping Wang,Min-Jie Mao,Qian Zhong,Mu-Sheng Zeng,Wan-Li Liu 대한암학회 2019 Cancer Research and Treatment Vol.51 No.1
Purpose The purpose of this study was to identify novel plasma biomarkers for distinguishing nasopharyngeal carcinoma (NPC) patients from healthy individuals who have positive Epstein-Barr virus (EBV) viral capsid antigen (VCA-IgA). Materials and Methods One hundred seventy-four plasma cytokines were analyzed by a Cytokine Array in eight healthy individuals with positive EBV VCA-IgA and eight patients with NPC. Real-time polymerase chain reaction, Western blotting, enzyme-linked immunosorbent assay (ELISA), and immunohistochemistry were employed to detect the expression levels of macrophage migration inhibitory factor (MIF) and CC chemokine ligand 3 (CCL3) in NPC cell lines and tumor tissues. Plasma MIF and CCL3 were measured by ELISA in 138 NPC patients, 127 EBV VCA-IgA negative (VN) and 100 EBV VCA-IgA positive healthy donors (VP). Plasma EBV VCA-IgA was determined by immunoenzymatic techniques. Results Thirty-four of the 174 cytokines varied significantly between the VP and NPC group. Plasma MIF and CCL3 were significantly elevated in NPC patients compared with VN and VP. Combination of MIF and CCL3 could be used for the differential diagnosis of NPC from VN cohort (area under the curve [AUC], 0.913; sensitivity, 90.00%; specificity, 80.30%), and combination of MIF, CCL3, and VCA-IgA could be used for the differential diagnosis of NPC from VP cohort (AUC, 0.920; sensitivity, 90.00%; specificity, 84.00%), from (VN+VP) cohort (AUC, 0.961; sensitivity, 90.00%; specificity, 92.00%). Overexpressions of MIF and CCL3 were observed in NPC plasma, NPC cell lines and NPC tissues. Conclusion Plasma MIF, CCL3, and VCA-IgA combination significantly improves the diagnostic specificity of NPC in high-risk individuals.
Hua-Xing Huang,Liang-Lan Shen,Hai-Yan Huang,Li-Hua Zhao,Feng Xu,Dong-Mei Zhang,Xiu-Lin Zhang,Tong Chen,Xue-Qin Wang,Yan Xie,Jian-Bin Su 대한당뇨병학회 2021 Diabetes and Metabolism Journal Vol.45 No.6
Background: Type 2 diabetes mellitus (T2DM) is characterized by elevated fasting glucagon and impaired suppression of postprandial glucagon secretion, which may participate in diabetic complications. Therefore, we investigated the associations of plasma glucagon with estimated glomerular filtration rate (eGFR), albuminuria and diabetic kidney disease (DKD) in T2DM patients.Methods: Fasting glucagon and postchallenge glucagon (assessed by area under the glucagon curve [AUCgla]) levels were determined during oral glucose tolerance tests. Patients with an eGFR <60 mL/min/1.73 m2 and/or a urinary albumin-to-creatinine ratio (UACR) ≥30 mg/g who presented with diabetic retinopathy were identified as having DKD.Results: Of the 2,436 recruited patients, fasting glucagon was correlated with eGFR and UACR (r=–0.112 and r=0.157, respectively; P<0.001), and AUCgla was also correlated with eGFR and UACR (r=–0.267 and r=0.234, respectively; P<0.001). Moreover, 31.7% (n=771) presented with DKD; the prevalence of DKD was 27.3%, 27.6%, 32.5%, and 39.2% in the first (Q1), second (Q2), third (Q3), and fourth quartile (Q4) of fasting glucagon, respectively; and the corresponding prevalence for AUCgla was 25.9%, 22.7%, 33.7%, and 44.4%, respectively. Furthermore, after adjusting for other clinical covariates, the adjusted odds ratios (ORs; 95% confidence intervals) for DKD in Q2, Q3, and Q4 versus Q1 of fasting glucagon were 0.946 (0.697 to 1.284), 1.209 (0.895 to 1.634), and 1.521 (1.129 to 2.049), respectively; the corresponding ORs of AUCgla were 0.825 (0.611 to 1.114), 1.323 (0.989 to 1.769), and 2.066 (1.546 to 2.760), respectively. Additionally, when we restricted our analysis in patients with glycosylated hemoglobin <7.0% (n=471), we found fasting glucagon and AUCgla were still independently associated with DKD.Conclusion: Both increased fasting and postchallenge glucagon levels were independently associated with DKD in T2DM patients.
Variable Coefficient Inductance Model-Based Four-Quadrant Sensorless Control of SRM
Kuai, Song-Yan,Li, Xue-Feng,Li, Xing-Hong,Ma, Jinyang The Korean Institute of Power Electronics 2014 JOURNAL OF POWER ELECTRONICS Vol.14 No.6
The phase inductance of a switch reluctance motor (SRM) is significantly nonlinear. With different saturation conditions, the phase inductance shape is clearly changed. This study focuses on the relationship between coefficient and current in an inductance model with ignored harmonics above the order of 3. A position estimation method based on the variable coefficient inductance model is proposed in this paper. A four-quadrant sensorless control system of the SRM drive is constructed based on the relationship between variable coefficient inductance and rotor position. The proposed algorithms are implemented in an experimental SRM test setup. Experimental results show that the proposed method estimates position accurately in operating two/four-quadrants. The entire system also has good static and dynamic performance.
Zong-yi Xing,Xue-miao Pang,Hai-yan Ji,Yong Qin,Li-min Jia 제어·로봇·시스템학회 2011 International Journal of Control, Automation, and Vol.9 No.4
The paper presents an approach to model nonlinear dynamic behaviors of the Automatic Depth Control Electrohydraulic System (ADCES) of a certain minesweeping weapon with Radial Basis Function (RBF) neural networks trained by hierarchical genetic algorithm. In the proposed hierarchical genetic algorithm, the control genes are used to determine the number of hidden units, and the parameter genes are used to identify center parameters of hidden units. In order to speed up conver-gence of the proposed algorithm, width and weight parameters of RBF neural network are calculated by linear algebra methods. The proposed approach is applied to the modelling of the ADCES, and ex-perimental results clearly indicate that the obtained RBF neural network can emulate complex dynamic characteristics of the ADCES satisfactorily. The comparison results also show that the proposed approach performs better than the traditional clustering-based method.