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14 results on '"He, Yijiao"'

3. TutorialBank: A Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation

Author

Fabbri, Alexander R., Li, Irene, Trairatvorakul, Prawat, He, Yijiao, Ting, Wei Tai, Tung, Robert, Westerfield, Caitlin, and Radev, Dragomir R.

Subjects
Computer Science - Computation and Language
Abstract

The field of Natural Language Processing (NLP) is growing rapidly, with new research published daily along with an abundance of tutorials, codebases and other online resources. In order to learn this dynamic field or stay up-to-date on the latest research, students as well as educators and researchers must constantly sift through multiple sources to find valuable, relevant information. To address this situation, we introduce TutorialBank, a new, publicly available dataset which aims to facilitate NLP education and research. We have manually collected and categorized over 6,300 resources on NLP as well as the related fields of Artificial Intelligence (AI), Machine Learning (ML) and Information Retrieval (IR). Our dataset is notably the largest manually-picked corpus of resources intended for NLP education which does not include only academic papers. Additionally, we have created both a search engine and a command-line tool for the resources and have annotated the corpus to include lists of research topics, relevant resources for each topic, prerequisite relations among topics, relevant sub-parts of individual resources, among other annotations. We are releasing the dataset and present several avenues for further research., Comment: ACL 2018, 56th Annual Meeting of the Association for Computational Linguistics, Melbourne, Australia, 2018

Published
2018

8. Targeting Cancer Metabolism Plasticity with JX06 Nanoparticles via Inhibiting PDK1 Combined with Metformin for Endometrial Cancer Patients with Diabetes

Author

Yang, Xiao, primary, Cheng, Yuan, additional, Zhou, Jingyi, additional, Zhang, Lingpu, additional, Li, Xingchen, additional, Wang, Zhiqi, additional, Yin, Shenyi, additional, Zhai, LiRong, additional, Huang, Ting, additional, Wu, Xiaotong, additional, Shen, Boqiang, additional, Dong, Yangyang, additional, Zhao, Lijun, additional, Chi, Yujing, additional, Jia, Yuanyuan, additional, Wang, Jiaqi, additional, He, Yijiao, additional, Dong, Xiying, additional, Xiao, Haihua, additional, and Wang, Jianliu, additional

Published
2022
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9. Maintenance Therapy Can Improve the Oncologic Prognosis and Obstetrical Outcome of Patients With Atypical Endometrial Hyperplasia and Endometrial Cancer After Fertility-Preserving Treatment: A Multicenter Retrospective Study

Author

He, Yijiao, primary, Wang, Jianliu, additional, Wang, Yiqin, additional, Zhou, Rong, additional, Lu, Qun, additional, Liu, Guoli, additional, Tang, Huiru, additional, Guo, Hongyan, additional, He, Mian, additional, and Wu, Guizhu, additional

Published
2021
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14. Use of clinicopathological factors to predict prognosis of fertility-sparing treatment for endometrial endometrioid carcinoma and atypical hyperplasia.

Author

Zhang, Xiaobo, Zhao, Xiaoya, Wang, Chen, Lu, Shanshan, Wang, Yiqin, He, Yijiao, Wang, Jianliu, and Shen, Danhua

Subjects
ENDOMETRIAL hyperplasia, ENDOMETRIAL cancer, PROGESTERONE receptors, HYPERPLASIA, CLINICAL pathology, ESTROGEN receptors
Abstract

The incidence of endometrial endometrioid carcinoma (EEC) has been gradually increasing over the past decade. Fertility-sparing therapy with progestin is a treatment option for EEC or endometrial atypical hyperplasia (AH). The present study evaluated the role of numerous prognostic factors following fertility-sparing therapy for EEC or AH. Furthermore, the present study assessed the strength of various clinicopathological indicators for the prediction of treatment efficacy. A retrospective analysis was performed of patients with EEC and AH who received fertility-sparing therapy between August 2013 and September 2021 at Peking University People's Hospital (Beijing, China). Endometrial specimens were obtained from each patient after 3 months of treatment and at the end of the fertility-sparing therapy, before treatment efficacy and prognosis were evaluated using the χ2 test. Furthermore, the protein expression levels of EEC biomarkers, such as estrogen receptor (ER), progesterone receptor (PR), paired box 2 (PAX2), PTEN and p53 were assessed using immunohistochemistry. The overall complete response (CR) rate of fertility-sparing treatment in the EEC group was 67.39% (31/46), whereas that in the AH group was 86.49% (32/37). The difference between the CR rates in the EEC and AH groups was statistically significant (P<0.05). There was no association between prognosis after treatment and ER, PAX2, PTEN or Ki-67 expression in the initially untreated AH or EEC groups. However, tissues with >50% positive PR expression were demonstrated to have a higher CR rate compared with those with ≤50% positive PR expression in both the EEC and AH groups. Furthermore, the PAX2-positive group tended to demonstrate higher CR rates compared with the PAX2-negative group in the patients with EEC. In conclusion, these data suggested that fertility-sparing therapy is effective for patients with EEC and AH who wish to remain fertile after treatment. Specifically, in the AH group, a higher proportion of patients achieved a CR whilst also achieving this more rapidly. Furthermore, PR was demonstrated to be a useful marker for the evaluation of EEC and AH. [ABSTRACT FROM AUTHOR]

Published
2023

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