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2. A Deep Active Learning Approach to Exploring Young Adults' Learning in a Picture Book Elective

Author

Zhang, Nina, Zhao, Huijun, and Guo, Karen

Abstract

This research investigates early childhood student teachers' learning in a picture book elective at a Chinese university. The elective was designed as an educational reform that encouraged students' choices, interests, and active explorations. Drawing on the concept of deep active learning (DAL), the research aims to identify whether and how these young adults adopted the deep active approach to learning. Data sources included student questionnaires, student interviews, and an interview with the course lecturer. The analysis identifies the tension between students' DAL capabilities and DAL experiences, illustrating the difficulty in making reforms in a single course, due to the influence of student accustomed learning style, the general learning environment, and student career plans.

Published
2021

3. Correction to: Safety and immunogenicity of SARS-CoV-2 vaccines in Chinese patients with cirrhosis: a prospective multicenter study

Author

Wang, Jitao, Zhang, Qiran, Ai, Jingwen, Liu, Dengxiang, Liu, Chuan, Xiang, Huiling, Gu, Ye, Guo, Ying, Lv, Jiaojian, Huang, Yifei, Liu, Yanna, Xu, Dan, Chen, Shubo, Li, Jinlong, Li, Qianqian, Liang, Jing, Bian, Li, Zhang, Zhen, Guo, Xiaoqing, Feng, Yinong, Liu, Luxiang, Zhang, Xuying, Zhang, Yanliang, Xie, Faren, Jiang, Shujun, Qin, Wei, Wang, Xiaodong, Rao, Wei, Zhang, Qun, Tian, Qiuju, Zhu, Ying, Cong, Qingwei, Xu, Juan, Hou, Zhiyun, Zhang, Nina, Zhang, Aiguo, Zu, Hongmei, Wang, Yun, Yan, Zhaolan, Du, Xiufang, Hou, Aifang, Yan, Yan, Qiu, Yuanwang, Wu, Hangyuan, Hu, Shengjuan, Deng, Yanhong, Ji, Jiansong, Yang, Jie, Huang, Jiansheng, Zhao, Zhongwei, Zou, Shengqiang, Ji, Hailei, Ge, Guohong, Zhong, Li, He, Song, Yan, Xiaosong, Yangzhen, Bian Ba, Qu, Ci, Zhang, Liting, Yang, Shiying, Gao, Xiaoqin, Lv, Muhan, Zhu, Qingliang, Xu, Xinxin, Zeng, Qing-Lei, Qi, Xiaolong, and Zhang, Wenhong

Published
2024
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12. Safety and immunogenicity of SARS-CoV-2 vaccines in Chinese patients with cirrhosis: a prospective multicenter study

Author

Wang, Jitao, Zhang, Qiran, Ai, Jingwen, Liu, Dengxiang, Liu, Chuan, Xiang, Huiling, Gu, Ye, Guo, Ying, Lv, Jiaojian, Huang, Yifei, Liu, Yanna, Xu, Dan, Chen, Shubo, Li, Jinlong, Li, Qianqian, Liang, Jing, Bian, Li, Zhang, Zhen, Guo, Xiaoqing, Feng, Yinong, Liu, Luxiang, Zhang, Xuying, Zhang, Yanliang, Xie, Faren, Jiang, Shujun, Qin, Wei, Wang, Xiaodong, Rao, Wei, Zhang, Qun, Tian, Qiuju, Zhu, Ying, Cong, Qingwei, Xu, Juan, Hou, Zhiyun, Zhang, Nina, Zhang, Aiguo, Zu, Hongmei, Wang, Yun, Yan, Zhaolan, Du, Xiufang, Hou, Aifang, Yan, Yan, Qiu, Yuanwang, Wu, Hangyuan, Hu, Shengjuan, Deng, Yanhong, Ji, Jiansong, Yang, Jie, Huang, Jiansheng, Zhao, Zhongwei, Zou, Shengqiang, Ji, Hailei, Ge, Guohong, Zhong, Li, He, Song, Yan, Xiaosong, Yangzhen, Bian Ba, Qu, Ci, Zhang, Liting, Yang, Shiying, Gao, Xiaoqin, Lv, Muhan, Zhu, Qingliang, Xu, Xinxin, Zeng, Qing-Lei, Qi, Xiaolong, and Zhang, Wenhong

Published
2022
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14. A study of interprovincial migration in China using extended gravity models

Author

Zhang, Nina, Leckie, George, Wang, Winnie, and Harris, Richard

Subjects
550
Abstract

Regional inequality has been put forward in the literature as a major driver of interprovincial migration in China. However, three major levels of regional inequality - rural and urban, province, and region have not been systematically investigated regarding their effects on interprovincial migration. This thesis chooses the gravity model of migration to investigate this. Moreover, three knowledge gaps persist across many studies using gravity models, including the neglect of different migration types, flow data dependencies and possible non-linear distance decay. These knowledge gaps call into question the applicability of the standard gravity model. Particularly, the issue of flow reciprocity has been largely ignored by the literature; a significant problem given that bilateral flows influence each other and are therefore likely to confound clear understanding of migration. This thesis addresses these gaps by extending the standard gravity model in increasingly advanced ways to study China's interprovincial migration in 2010. Interprovincial flows are not homogeneous and can be usefully classified into four different types: ruralrural, rural-urban, urban-urban and urban-rural migration. Results show that these four types of flow may differ from each other in their causes. Urban-urban migration is found to be under-researched but the most representative of all types based on number of similar coefficients. Therefore, it is then selected to further examine data dependence and non-linear distance decay. Results reveal that urban-urban interprovincial flows neither are independent nor entirely obey the gravitation law of distance decay. In bridging these knowledge gaps, this thesis has made methodological and theoretical contributions to improving the understanding of China's interprovincial migration. The proposed multilevel gravity model could also be used in other bilateral flow studies such as trade and traffic, with particular strength in coping with data dependencies. My findings also have policy implications regarding migration governance and regional inequality reduction.

Published
2019

16. Safety and Immunogenicity of SARS-CoV-2 Vaccines in Patients With Chronic Liver Diseases (CHESS-NMCID 2101): A Multicenter Study

Author

Ai, Jingwen, Wang, Jitao, Liu, Dengxiang, Xiang, Huiling, Guo, Ying, Lv, Jiaojian, Zhang, Qiran, Li, Jinlong, Zhang, Xiaochong, Li, Qianqian, Liang, Jing, Guo, Xiaoqing, Feng, Yinong, Liu, Luxiang, Zhang, Xuying, Qin, Wei, Wang, Xiaodong, Rao, Wei, Zhang, Qun, Tian, Qiuju, Zhang, Yanliang, Xie, Faren, Jiang, Shujun, Yan, Yan, Qiu, Yuanwang, Wu, Hangyuan, Hou, Zhiyun, Zhang, Nina, Zhang, Aiguo, Ji, Jiansong, Yang, Jie, Huang, Jiansheng, Zhao, Zhongwei, Gu, Ye, Bian, Li, Zhang, Zhen, Zou, Shengqiang, Ji, Hailei, Ge, Guohong, Du, Xiufang, Hou, Aifang, Zhu, Ying, Cong, Qingwei, Xu, Juan, Zu, Hongmei, Wang, Yun, Yan, Zhaolan, Yan, Xiaosong, BianBa, Yangzhen, Ci, Qu, Zhang, Liting, Yang, Shiying, Gao, Xiaoqin, Zhong, Li, He, Song, Liu, Chuan, Huang, Yifei, Liu, Yanna, Xu, Dan, Zhu, Qingliang, Xu, Xinxin, Lv, Muhan, Zhang, Wenhong, and Qi, Xiaolong

Published
2022
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21. Identification of 10 differentially expressed genes involved in the tumorigenesis of cervical cancer via next-generation sequencing.

Author

Xu, Jia, Yang, Wen, Xie, Xiufeng, Gu, Chenglei, Zhao, Luyang, Liu, Feng, Zhang, Nina, Bai, Yuge, Liu, Dan, Liu, Hainan, Jin, Xiangshu, and Meng, Yuanguang

Subjects
NUCLEOTIDE sequencing, CERVICAL cancer, CANCER genes, CANCER prognosis, POLYMERASE chain reaction
Abstract

Background: The incidence and mortality of cervical cancer remain high in female malignant tumors worldwide. There is still a lack of diagnostic and prognostic markers for cervical carcinoma. This study aimed to screen differentially expressed genes (DEGs) between normal and cervical cancer tissues to identify candidate genes for further research. Methods: Uterine cervical specimens were resected from our clinical patients after radical hysterectomy. Three patients' transcriptomic datasets were built by the next generation sequencing (NGS) results. DEGs were selected through the edgeR and DESeq2 packages in the R environment. Functional enrichment analysis, including GO/DisGeNET/KEGG/Reactome enrichment analysis, was performed. Normal and cervical cancer tissue data from the public databases TCGA and GTEx were collected to compare the expression levels of 10 selected DEGs in tumor and normal tissues. ROC curve and survival analysis were performed to compare the diagnostic and prognostic values of each gene. The expression levels of candidate genes were verified in 15 paired clinical specimens via quantitative real-time polymerase chain reaction. Results: There were 875 up-regulated and 1,482 down-regulated genes in cervical cancer samples compared with the paired adjacent normal cervical tissues according to the NGS analysis. The top 10 DEGs included APOD, MASP1, ACKR1, C1QTNF7, SFRP4, HSPB6, GSTM5, IGFBP6, F10 and DCN. GO, DisGeNET and Reactome analyses revealed that the DEGs were related to extracellular matrix and angiogenesis which might influence tumorigenesis. KEGG enrichment showed that PI3K-Akt signaling pathway might be involved in cervical cancer tumorigenesis and progression. The expression levels of selected genes were decreased in tumors in both the public database and our experimental clinical specimens. All the candidate genes showed excellent diagnostic value, and the AUC values exceeded 0.90. Additionally, APOD, ACKR1 and SFRP4 expression levels could help predict the prognosis of patients with cervical cancer. Conclusions: In this study, we selected the top 10 DEGs which were down-regulated in cervical cancer tissues. All of them had dramatically diagnostic value. APOD, ACKR1 and SFRP4 were associated with the survivals of cervical cancer. C1QTNF7, HSPB6, GSTM5, IGFBP6 and F10 were first reported to be candidate genes of cervical carcinoma. [ABSTRACT FROM AUTHOR]

Published
2024
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28. Correction to: Safety and immunogenicity of SARS-CoV-2 vaccines in Chinese patients with cirrhosis: a prospective multicenter study

Author

Wang, Jitao, primary, Zhang, Qiran, additional, Ai, Jingwen, additional, Liu, Dengxiang, additional, Liu, Chuan, additional, Xiang, Huiling, additional, Gu, Ye, additional, Guo, Ying, additional, Lv, Jiaojian, additional, Huang, Yifei, additional, Liu, Yanna, additional, Xu, Dan, additional, Chen, Shubo, additional, Li, Jinlong, additional, Li, Qianqian, additional, Liang, Jing, additional, Bian, Li, additional, Zhang, Zhen, additional, Guo, Xiaoqing, additional, Feng, Yinong, additional, Liu, Luxiang, additional, Zhang, Xuying, additional, Zhang, Yanliang, additional, Xie, Faren, additional, Jiang, Shujun, additional, Qin, Wei, additional, Wang, Xiaodong, additional, Rao, Wei, additional, Zhang, Qun, additional, Tian, Qiuju, additional, Zhu, Ying, additional, Cong, Qingwei, additional, Xu, Juan, additional, Hou, Zhiyun, additional, Zhang, Nina, additional, Zhang, Aiguo, additional, Zu, Hongmei, additional, Wang, Yun, additional, Yan, Zhaolan, additional, Du, Xiufang, additional, Hou, Aifang, additional, Yan, Yan, additional, Qiu, Yuanwang, additional, Wu, Hangyuan, additional, Hu, Shengjuan, additional, Deng, Yanhong, additional, Ji, Jiansong, additional, Yang, Jie, additional, Huang, Jiansheng, additional, Zhao, Zhongwei, additional, Zou, Shengqiang, additional, Ji, Hailei, additional, Ge, Guohong, additional, Zhong, Li, additional, He, Song, additional, Yan, Xiaosong, additional, Yangzhen, Bian Ba, additional, Qu, Ci, additional, Zhang, Liting, additional, Yang, Shiying, additional, Gao, Xiaoqin, additional, Lv, Muhan, additional, Zhu, Qingliang, additional, Xu, Xinxin, additional, Zeng, Qing-Lei, additional, Qi, Xiaolong, additional, and Zhang, Wenhong, additional

Published
2023
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29. Immunogenicity and safety of a booster COVID‐19 vaccination in patients with chronic liver disease: A multicenter study

Author

Wang, Jitao, primary, Ai, Jingwen, additional, Xiang, Huiling, additional, Zhang, Yanliang, additional, Hou, Zhiyun, additional, Zhang, Qiran, additional, Lv, Jiaojian, additional, Chen, Shubo, additional, Liu, Chuan, additional, Li, Qianqian, additional, Liang, Jing, additional, Xie, Faren, additional, Jiang, Shujun, additional, Zhang, Nina, additional, Zhang, Aiguo, additional, Lan, Xiaolin, additional, Zhang, Xuying, additional, Li, Jinlong, additional, Liu, Dengxiang, additional, Wang, Wenchuan, additional, Rao, Wei, additional, Qun, Zhang, additional, Tian, Qiuju, additional, Qi, Xiaolong, additional, and Zhang, Wenhong, additional

Published
2023
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42. Manifold Learner Ensemble

Author

Zhang, Peng, Fan, Chunbo, Ren, Yuanyuan, Zhang, Nina, Huang, De-Shuang, editor, Gupta, Phalguni, editor, Wang, Ling, editor, and Gromiha, Michael, editor

Published
2013
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46. Robotic-assisted laparoscopic and thoracoscopic approach: a challenging multidisciplinary minimally invasive surgery of intravascular leiomyomatosis with intracardiac extension

Author

Jiang, Shengli, primary, Li, Zhen, additional, Ma, Xin, additional, Ma, Xiaohui, additional, Meng, Yuanguang, additional, Ye, Mingxia, additional, Zhang, Lin, additional, Zhang, Peng, additional, Zhang, Nina, additional, Zhang, Yue, additional, Wang, Nan, additional, and Li, Lian, additional

Published
2023
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49. Surgical Considerations to Improve Recovery in Acute Spinal Cord Injury

Author

Tabarestani, Troy Q., primary, Lewis, Nicholle E., additional, Kelly-Hedrick, Margot, additional, Zhang, Nina, additional, Cellini, Brianna R., additional, Marrotte, Eric J., additional, Williamson, Theresa, additional, Wang, Haichen, additional, Laskowitz, Daniel T., additional, Faw, Timothy D., additional, and Abd-El-Barr, Muhammad M., additional

Published
2022
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50. Survival outcomes of abdominal radical hysterectomy, laparoscopic radical hysterectomy, robot-assisted radical hysterectomy and vaginal radical hysterectomy approaches for early-stage cervical cancer: a retrospective study.

Author

Zhang, Nina, Jin, Xiangshu, Yang, Wen, Gu, Chenglei, Li, Li'an, Xu, Jia, Tang, Qiting, Fan, Wensheng, and Meng, Yuanguang

Subjects
*VAGINAL hysterectomy, *HYSTERECTOMY, *SURVIVAL rate, *CERVICAL cancer, *SURGICAL blood loss
Abstract

Background: This study compared the survival outcomes of abdominal radical hysterectomy (ARH) (N = 32), laparoscopic radical hysterectomy (LRH) (N = 61), robot-assisted radical hysterectomy (RRH) (N = 100) and vaginal radical hysterectomy (VRH) (N = 45) approaches for early-stage cervical cancer to identify the surgical approach that provides the best survival. Methods: Disease-free survival (DFS) and overall survival (OS) were calculated using the Kaplan–Meier method, and survival curves were compared using the log-rank test. Results: The volume of intraoperative blood loss was greater in the ARH group than in the LRH group, the RRH group or the VRH group [(712.50 ± 407.59) vs. (224.43 ± 191.89), (109.80 ± 92.98) and (216.67 ± 176.78) ml, respectively; P < 0.001]. Total 5-year OS was significantly different among the four groups (ARH, 96.88%; LRH, 82.45%; RRH, 94.18%; VRH, 91.49%; P = 0.015). However, no significant difference in 5-year DFS was observed among the four groups (ARH, 96.88%; LRH, 81.99%; RRH, 91.38%; VRH, 87.27%; P = 0.061). Conclusion: This retrospective study demonstrated that ARH and RRH achieved higher 5-year OS rates than LRH for early-stage cervical cancer. [ABSTRACT FROM AUTHOR]

Published
2023
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