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8,301 results on '"Zhou, Ting"'

253. Functional interrogation of twenty type 2 diabetes-associated genes using isogenic human embryonic stem cell-derived β-like cells

Author

Xue, Dongxiang, Narisu, Narisu, Taylor, D. Leland, Zhang, Meili, Grenko, Caleb, Taylor, Henry J., Yan, Tingfen, Tang, Xuming, Sinha, Neelam, Zhu, Jiajun, Vandana, J. Jeya, Nok Chong, Angie Chi, Lee, Angela, Mansell, Erin C., Swift, Amy J., Erdos, Michael R., Zhong, Aaron, Bonnycastle, Lori L., Zhou, Ting, Chen, Shuibing, and Collins, Francis S.

Published
2023
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278. COVID-19 Exposure, Pandemic-Related Appraisals, Coping Strategies, and Psychological Symptoms among the Frontline Medical Staff and Gender Differences in Coping Processes

Author

Chen, Chen, Guan, Ziqi, Sun, Liqun, Zhou, Ting, and Guan, Ruiyuan

Abstract

This study sought to explore the effects of COVID-19 exposure, pandemic-related appraisals and coping strategies on psychological symptoms among the front-line healthcare workers based on the transactional theory of stress and coping. A cross-sectional study was conducted in a Wuhan hospital designated for inpatients with COVID-19, assessing COVID-19 exposure (whether or not exposed to confirmed patients at workplace), psychological symptoms, appraisals, and coping strategies in 311 participants. Results revealed that the pandemic markedly affected healthcare workers' mental well-being through appraisal and coping, with 38.9% reporting high levels of psychological symptoms. Primary appraisal related closely with COVID-19 exposure, especially in female, while secondary appraisal was associated with problem-focused coping. Both problem-focused and emotion-focused coping had a protective effect against psychological symptoms, but also showed gender differences in its relations with other variables. These findings could potentially benefit to enrich relevant theories, and to develop psychological programs for future epidemics.

Published
2022
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279. Digital resolution enhancement in low transverse sampling optical coherence tomography angiography using deep learning

Author

Zhou, Ting, Zhou, Kang, Yang, Jianlong, Fang, Liyang, Hu, Yan, Zhao, Yitian, Cheng, Jun, Chen, Xiangping, Gao, Shenghua, and Liu, Jiang

Subjects
Electrical Engineering and Systems Science - Image and Video Processing, Physics - Optics
Abstract

Optical coherence tomography angiography (OCTA) requires high transverse sampling density for visualizing retinal and choroidal capillaries. Low transverse sampling causes resolution degradation, such as the angiograms in wide-field OCTA. In this paper, we propose to address this problem using deep learning. We conducted extensive experiments on converting the centrally cropped 3 x 3 mm2 field of view (FOV) of the 8 x 8 mm2 foveal OCTA images (a sampling density of 22.9 $\mu$m) to the native 3 x 3 mm2 en face OCTA images (a sampling density of 12.2 $\mu$m). We employed a cycle-consistent adversarial network architecture in this conversion. The quantitative analysis using the perceptual similarity measures shows the generated OCTA images are closer to the native 3 x 3 mm2 scans. Besides, the results show the proposed method could also enhance signal-to-noise ratio. We further applied our method to enhance diseased cases and calculate vascular biomarkers, which demonstrates its generalization performance and clinical perspective.

Published
2019

284. High-throughput identification of regulatory elements and functional assays to uncover susceptibility genes for nasopharyngeal carcinoma

Author

Wang, Tong-Min, Xiao, Ruo-Wen, He, Yong-Qiao, Zhang, Wen-Li, Diao, Hua, Tang, Minzhong, Mai, Zhi-Ming, Xue, Wen-Qiong, Yang, Da-Wei, Deng, Chang-Mi, Liao, Ying, Zhou, Ting, Li, Dan-Hua, Wu, Yan-Xia, Chen, Xue-Yin, Zhang, Jiangbo, Li, Xi-Zhao, Zhang, Pei-Fen, Zheng, Xiao-Hui, Zhang, Shao-Dan, Hu, Ye-Zhu, Cai, Yonglin, Zheng, Yuming, Zhang, Zhe, Zhou, Yifeng, Jin, Guangfu, Bei, Jinxin, Mai, Hai-Qiang, Sun, Ying, Ma, Jun, Hu, Zhibin, Liu, Jianjun, Lung, Maria Li, Adami, Hans-Olov, Ye, Weimin, Lam, Tai-Hing, Shen, Hongbing, and Jia, Wei-Hua

Published
2023
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290. Boundary determination of electromagnetic and Lam\'e parameters with corrupted data

Author

Caro, Pedro, Lai, Ru-Yu, Lin, Yi-Hsuan, and Zhou, Ting

Subjects
Mathematics - Analysis of PDEs
Abstract

We study boundary determination for an inverse problem associated to the time-harmonic Maxwell equations and another associated to the isotropic elasticity system. We identify the electromagnetic parameters and the Lam\'e moduli for these two systems from the corresponding boundary measurements. In a first step we reconstruct Lipschitz magnetic permeability, electric permittivity and conductivity on the surface from the ideal boundary measurements. Then, we study inverse problems for Maxwell equations and the isotropic elasticity system assuming that the data contains measurement errors. For both systems, we provide explicit formulas to reconstruct the parameters on the boundary as well as its rate of convergence formula., Comment: 25 pages

Published
2019

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