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Your search keyword '"Ding, Yinzhang"' showing total 29 results
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29 results on '"Ding, Yinzhang"'

7. Iterative Error Removal for Time-of-Flight Depth Imaging

Author

Zheng, Zhuolin, Ding, Yinzhang, Tang, Xiaotian, Cai, Yu, Li, Dongxiao, Zhang, Ming, Xie, Hongyang, Li, Xuanfu, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Farkaš, Igor, editor, Masulli, Paolo, editor, Otte, Sebastian, editor, and Wermter, Stefan, editor

Published
2021
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8. Feature Variance Ratio-Guided Channel Pruning for Deep Convolutional Network Acceleration

Author

He, Junjie, Chen, Bohua, Ding, Yinzhang, Li, Dongxiao, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Ishikawa, Hiroshi, editor, Liu, Cheng-Lin, editor, Pajdla, Tomas, editor, and Shi, Jianbo, editor

Published
2021
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10. Depth Estimation from Monocular Images Using Dilated Convolution and Uncertainty Learning

Author

Ma, Haojie, Ding, Yinzhang, Wang, Lianghao, Zhang, Ming, Li, Dongxiao, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Hong, Richang, editor, Cheng, Wen-Huang, editor, Yamasaki, Toshihiko, editor, Wang, Meng, editor, and Ngo, Chong-Wah, editor

Published
2018
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15. Association between migraine and cardiovascular disease: A cross-sectional study

Author

Wang, Kai, Mao, Yukang, Lu, Miao, Ding, Yinzhang, Li, Zhongming, Li, Yansong, Liu, Xianling, Sun, Yan, Hong, Jian, Xu, Di, and Wu, Tingting

Subjects
Cardiology and Cardiovascular Medicine
Abstract

BackgroundCardiovascular disease (CVD) poses a tremendous threat to global health, giving rise to exceedingly high morbidity and mortality among patients. A migraine is a common neurological disorder characterized by recurrent attacks of severe headache, while its cardiovascular burden remains unclear. Therefore, this study aims to investigate whether migraine is associated with CVD.MethodsThe cross-sectional data of 5,692 subjects aged 20 or above was obtained from the National Health and Nutrition Examination Survey (NHANES) 1999–2004. To determine whether migraine is associated with CVD, weighted logistic regression models were used. In a subsequent subgroup analysis, several confounding factors were also explored to investigate the association between migraine and CVD.ResultsIn total, 5,692 subjects were enrolled in this study, with the prevalence of CVD being 13.3%. Participants with CVD tended to be older, male, non-Hispanic whites, more educated, former smokers, and alcohol drinkers, and had a higher waist circumference, less physical activity, a higher level of triglyceride and creatinine as well as a lower level of high-density lipoprotein cholesterol (HDL-C) and estimated glomerular filtration rate (eGFR) (all P < 0.05). Considering all potential confounders, migraine was associated with a higher risk of CVD [odds ratios (ORs) 2.77; 95% confidence intervals (CIs): 1.56–4.90]. Subgroup analysis showed a higher risk of CVD in females, those older than 60 years, with a lower body mass index (BMI) level (≤ 30 kg/m2), a higher level of eGFR (> 90 mL/min/1.73 m2), hypertension and hyperlipidemia and without diabetes.ConclusionIn summary, our study revealed a positive association between migraine with CVD in a nationally representative US adult population. Our findings highlighted that migraine should be considered an important risk factor for CVD.

Published
2022

19. Homeostatic neuro-metasurfaces for dynamic wireless channel management

Author

Fan, Zhixiang, primary, Qian, Chao, additional, Jia, Yuetian, additional, Wang, Zhedong, additional, Ding, Yinzhang, additional, Wang, Dengpan, additional, Tian, Longwei, additional, Li, Erping, additional, Cai, Tong, additional, Zheng, Bin, additional, Kaminer, Ido, additional, and Chen, Hongsheng, additional

Published
2022
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22. Dapagliflozin modulates the faecal microbiota after myocardial infarction in non‐diabetic mice.

Author

Li, Zhongming, Wang, Kai, Ding, Yinzhang, Ma, Wenjie, Sun, Yan, Liu, Xianling, Qian, Lijun, Li, Yansong, Hong, Jian, and Xu, Di

Subjects
SODIUM-glucose cotransporters, DAPAGLIFLOZIN, STAINS & staining (Microscopy), RIBOSOMAL RNA, GUT microbiome
Abstract

The gut microbiota seems to be a major modulator of cardiovascular diseases, such as myocardial infarction. Dapagliflozin, a sodium glucose cotransporter 2 inhibitor (SGLT2i), is an antidiabetic agent that was recently utilized in patients with cardiovascular diseases. This study aims to investigate the effects of dapagliflozin on the faecal microbiota of postinfarction non‐diabetic mice. A total of 19 male mice were randomly divided into three groups, where two groups were enduced with myocardial infarction (MI) by left anterior descending ligation. One day after the surgery, each group was administered normal saline (15 mL/kg/day, 0.9%) or dapagliflozin (1.5 mg/kg/day) for 4 weeks. Echocardiography was obtained on day 28 post MI. Masson's trichrome staining was used to determine the degree of fibrosis. Faecal samples were collected to assess the microbiome by 16S ribosomal RNA gene sequencing. We found that dapagliflozin significantly improved cardiac function in the non‐diabetic myocardial infarction mice model after the 28‐day treatment, especially in ejection fraction and fractional shortening (p < 0.01). Enterotypes were composed of Muribaculaceae and Lactobacillaceae after dapagliflozin treatment, while Muribaculaceae and Erysipelotrichaceae were the main enterotypes post‐MI. Dapagliflozin increased the abundance of beneficial bacteria like Lactobacillaceae, while decreasing the abundance of beneficial bacteria like Bifidobacteriaceae. It was interesting to discover that Proteobacteria (especially Desulfovibrionaceae) were enriched after the dapagliflozin treatment for myocardial infarction. Dapagliflozin increased the abundance of the main beneficial bacteria. In post‐myocardial infarction treatments, using dapagliflozin could positively contribute to the improvement of cardiac function and alter the structure of faecal microbiota. [ABSTRACT FROM AUTHOR]

Published
2023
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