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89 results on '"Yang, Chun-Ling"'

4. A Novel Fast Motion Estimation Algorithm Based on SSIM for H.264 Video Coding

Author

Yang, Chun-ling, Wang, Hua-xing, Po, Lai-Man, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Ip, Horace H.-S., editor, Au, Oscar C., editor, Leung, Howard, editor, Sun, Ming-Ting, editor, Ma, Wei-Ying, editor, and Hu, Shi-Min, editor

Published
2007
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5. A New Rate-Distortion Optimization Using Structural Information in H.264 I-Frame Encoder

Author

Mai, Zhi-Yi, Yang, Chun-Ling, Po, Lai-Man, Xie, Sheng-Li, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Blanc-Talon, Jacques, editor, Philips, Wilfried, editor, Popescu, Dan, editor, and Scheunders, Paul, editor

Published
2005
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11. Design, synthesis and antitumor activity of a novel series of PAC-1 analogues

Author

Zhang Xiao-ying, Li Song, Jiang Dan, Luo Hao-ming, Yang Xiao-hong, Yang Chun-ling, Xiao Jun-hai, and Zhao Ming-ming

Subjects
chemistry.chemical_compound, chemistry, Cell culture, Stereochemistry, HL60, Cancer cell, Proton NMR, MTT assay, General Chemistry, Lead compound, PAC-1, In vitro
Abstract

A novel series of first procaspase activating compound(PAC-1) analogues was designed, synthesized and evaluated for antitumor activity towards two cell lines[human promyelocytic leukemia cell line(HL60) and human embryonic lung fibroblast cell line(HLF)] by the MTT[3-(4,5)-dimethylthiahiazo(-z-y1)-3,5-di-phenytetrazo-liumromide]_method in vitro. The structures of all the compounds were confirmed by 1H NMR, MS and elemental analysis. Among the compounds synthesized,(E)-2-[(3-{[4-(tert-butyl)benzyl](methyl)amino}propyl)(methyl)amino]-N′-[4-(diethylamino)-2-hydroxybenzylidene]acetohydrazide(compound 6n) exhibits a good anti-proliferative activity to the majority of tumor cells tested, and selectively cleaves cancer cells. Thus, compound 6n was identified as promising lead compound for further structural modification.

Published
2013

12. Positive Association Between Serum Levels of High-Sensitivity C-Reactive Protein and Depression/Anxiety in Female, but Not Male, Patients With Type 2 Diabetes Mellitus.

Author

Yang, Qian-Qian, Shao, Di, Li, Jie, Yang, Chun-Ling, Fan, Min-Hua, and Cao, Feng-Lin

Subjects
ANXIETY, C-reactive protein, CHI-squared test, COMPUTER software, CONFIDENCE intervals, MENTAL depression, HOSPITALS, INFLAMMATION, LABORATORIES, MEDICAL records, TYPE 2 diabetes, PSYCHIATRIC drugs, QUESTIONNAIRES, RESEARCH funding, SEX distribution, STATISTICS, T-test (Statistics), DATA analysis, MULTIPLE regression analysis, DISEASE prevalence, CROSS-sectional method, PHYSICAL activity, DATA analysis software, DESCRIPTIVE statistics, KRUSKAL-Wallis Test
Abstract

Purpose: Patients with Type 2 diabetes (T2D) have increased risk of depression and anxiety. Evidence suggests that a heightened inflammatory state may contribute to this association. Females experience more depression and higher inflammation levels than males. This study compared associations of serum high-sensitivity C-reactive protein (hs-CRP) levels with symptoms of depression and anxiety between men and women with Type 2 diabetes mellitus (T2DM). Method: Cross-sectional data including demographic and disease characteristics, symptoms of depression and anxiety, clinical data, and laboratory values were collected from 392 patients with T2DM recruited from a general hospital in Shandong Province, China. We evaluated associations between serum hs-CRP level and symptoms of depression and anxiety in males and females separately using multiple linear regressions and χ2 tests for trend. Results: Sex moderated the association between serum hs-CRP level and symptoms of depression (B =.112 [ SE = 0.049]; p =.022) and anxiety (B =.137 [ SE = 0.053]; p =.011). Among females, hs-CRP level was positively associated with depression (B =.034, 95% confidence interval [CI] = [.006,.061]; p =.016, false discovery rate [FDR]-adjusted p =.020) and anxiety (B =.041, 95% CI [.011,.071], p =.007, FDR-adjusted p =.007). Positive trends indicated a higher prevalence of clinically significant symptoms of depression and anxiety in higher serum hs-CRP categories in females. No associations were found in males. Conclusion: Findings demonstrate that associations between serum hs-CRP level and symptoms of depression and anxiety in patients with T2D are sex-specific, with only females demonstrating a significant positive association. [ABSTRACT FROM AUTHOR]

Published
2020
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26. Optimum Identifications of Spectral Emissivity and Temperature for Multi-Wavelength Pyrometry

Author

Dai Jing-Min, Yang Chun-Ling, and Hu Yan

Subjects
Physics, Artificial neural network, business.industry, Astrophysics::High Energy Astrophysical Phenomena, General Physics and Astronomy, Improved method, Multi wavelength, Radiation, law.invention, Optics, law, Emissivity, business, Spectral radiation, Pyrometer, Remote sensing
Abstract

The main problem of the traditional radiation pyrometry is that fatal errors will be caused by the unknown or varying emissivity. Based on the combined neural networks (CNNE model), we propose an improved method for emissivity modelling. The model structure and the optimum algorithm are described. This method being used, the spectral emissivity and temperature can be fast computed accurately from the spectral radiation measured.

Published
2003

29. The characteristic of EMP electromagnetic power variation influence limit cycle in power systems in a weakly non-linear system

Author

Yang Chun-ling and Zhu Jian-hua

Subjects
Electric power system, Nonlinear system, Electromagnetics, Amplitude, Control theory, Limit cycle, Limit (music), Mechanics, Mechanical energy, Power (physics), Mathematics
Abstract

The article researched the parameters fluctuation of load and the angle oscillatory caused by mechanical power fluctuations, built a mathematics model of one machine-infinity bus system. Using the direct average method, it also researched power angle characteristic by the amplitude of load variation and the mechanical power fluctuations. The simulation result shows that periodic disturbance about the mechanical power and may existence uniqueness of limit cycle. It may existence more than one limit cycles under periodic disturbance about parameters of electromagnetic power, and the sub-harmonic resonance may be observed. The above phenomena are all related to structure of nonlinear dynamic systems and the system's running states.

Published
2011

34. Object detection on inertia surface by improved watershed transform

Author

Ma Lihong, Zhang Yu, Yang Chun-ling, and Huang Xiaoan

Subjects
business.industry, media_common.quotation_subject, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Pattern recognition, Image segmentation, Inertia, Object detection, Skeletonization, Gaussian filter, symbols.namesake, Object-class detection, Image texture, symbols, Viola–Jones object detection framework, Computer vision, Artificial intelligence, business, ComputingMethodologies_COMPUTERGRAPHICS, media_common, Mathematics
Abstract

This paper presents a new scheme for object detection in a complex background. Firstly a Difference Offset of Gaussian filter is introduced to calculate a feature inertia surface of an image, this feature inertia image preserves certain region ridges in an image, while reducing insignificant details. After skeletonization on the inertia surface, an improved marker extraction for watershed transform is carried out to detect objects, followed by a merging operation based on a criterion suggested according to the measurement of texture similarity. Each located area is finally verified by Nearest Neighboring classifiers trained for different kinds of objects. Detection experiments on face areas and character regions have shown its feasibility.

Published
2003

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