- 著者
- Bing-jie Zheng Yue-ping Yin Zhi Xiang Yan Han Mei-qin Shi Ning Jiang Rui-xing Yu Xiang-sheng Chen
- 出版者
- 国立感染症研究所 Japanese Journal of Infectious Diseases 編集委員会
- 雑誌
- Japanese Journal of Infectious Diseases (ISSN:13446304)
- 巻号頁・発行日
- vol.67, no.1, pp.17-21, 2014 (Released:2014-01-22)
- 参考文献数
- 30
- 被引用文献数
- 1 6
The objective of this study was to determine the prevalence of urethral Mycoplasma genitalium infections among male patients attending a sexually transmitted disease (STD) clinic in China and identify risk factors associated with this disease. A total of 423 patients were recruited in Hezhou City, Guangxi Province, China, and each was requested to complete a questionnaire regarding sociological and sexual behaviors. First-void urine samples were collected for M. genitalium analysis by polymerase chain reaction. Of the 406 urine samples collected, 114 were M. genitalium-positive, giving a prevalence rate of 28.1%. Univariate logistic regression analysis showed that M. genitalium infection was associated with younger age, having received at least senior high school education, and single marital status. In both univariate and multivariate logistic regression analyses, M. genitalium infection was found to be associated with lack of symptoms for STD in the past year (adjusted odds ratio [AOR] = 2.839; 95% CI = 1.495–5.392; P = 0.001), no use of condoms with steady partners in the past year (AOR = 2.830; 95% CI = 1.468–5.455; P = 0.002), and having sexual encounters with female sexual workers within the past 3 months (AOR = 2.955; 95% CI = 1.637–5.336; P < 0.0003). The observed high rate of M. genitalium infection among male STD patients in Hezhou City indicates an M. genitalium epidemic in the study population; thus, the national surveillance program and clinical health providers in China should more closely monitor this disease.
- 著者
- Ning JIANG Jiu XU Satoshi GOTO
- 出版者
- The Institute of Electronics, Information and Communication Engineers
- 雑誌
- IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences (ISSN:09168508)
- 巻号頁・発行日
- vol.E95-A, no.8, pp.1280-1287, 2012-08-01
In recent years, local pattern based features have attracted increasing interest in object detection and recognition systems. Local Binary Pattern (LBP) feature is widely used in texture classification and face detection. But the original definition of LBP is not suitable for human detection. In this paper, we propose a novel feature named gradient local binary patterns (GLBP) for human detection. In this feature, original 256 local binary patterns are reduced to 56 patterns. These 56 patterns named uniform patterns are used for generating a 56-bin histogram. And gradient value of each pixel is set as the weight which is always same in LBP based features in histogram calculation to computing the values in 56 bins for histogram. Experiments are performed on INRIA dataset, which shows the proposal GLBP feature is discriminative than histogram of orientated gradient (HOG), Semantic Local Binary Patterns (S-LBP) and histogram of template (HOT). In our experiments, the window size is fixed. That means the performance can be improved by boosting methods. And the computation of GLBP feature is parallel, which make it easy for hardware acceleration. These factors make GLBP feature possible for real-time pedestrian detection.