Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Jindi Zhang"'
Autor:
Lingna Chen, Yuying Ruan, Liping Ni, Guiting Wang, Yajuan Gao, Jindi Zhang, Dingheng Li, Haiou Xu
Publikováno v:
Autoimmunity, Vol 57, Iss 1 (2024)
AbstractRecurrent spontaneous abortions (RSA) affect reproductive health and increase the risk of subsequent abortions. To investigate the role of KISS-1/GPR-54 signaling in RSA progression. Villus tissue was collected from RSA patients, and human tr
Externí odkaz:
https://doaj.org/article/b9d2112cf4ef4b009c13595df4424a86
Publikováno v:
Inorganics, Vol 12, Iss 6, p 156 (2024)
Orange peel biochar (C)-supported cadmium sulfide composites (CdS-C) were prepared by the combination of hydrothermal and calcination methods. The structure and morphology were characterized in detail by X-ray diffraction (XRD) and scanning electron
Externí odkaz:
https://doaj.org/article/27c338f3890d4f3d987d6c81041a4bd2
Autor:
Lili Zhang, Decheng Mao, Yining Qu, Xiaohong Chen, Jindi Zhang, Mengyang Huang, Jiaqiang Wang
Publikováno v:
Nanomaterials, Vol 13, Iss 23, p 3048 (2023)
Ce-MOF was synthesized by a solvothermal synthesis method and was used to simultaneously remove phosphate, fluoride and arsenic (V) from water by adsorption. Ce-MOF was characterized by a nitrogen adsorption–desorption isotherm, scanning electron m
Externí odkaz:
https://doaj.org/article/842b5b2a9dd24947867ecaa844028ec7
Autor:
Lin Lin, Jindi Zhang, Yutong Liu, Xinyu Hao, Jing Shen, Yang Yu, Huashuai Xu, Fengyu Cong, Huanjie Li, Jianlin Wu
Publikováno v:
Frontiers in Human Neuroscience, Vol 16 (2022)
ObjectiveType 2 diabetes mellitus (T2DM) is a high risk of cognitive decline and dementia, but the underlying mechanisms are not yet clearly understood. This study aimed to explore the functional connectivity (FC) and topological properties among who
Externí odkaz:
https://doaj.org/article/9af56aaae8234cd4a24fdd9d8932d879
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
BackgroundThere is urgent need for an accurate preoperative prediction of metastatic status to optimize treatment for patients with ovarian cancer (OC). The feasibility of predicting the metastatic status based on radiomics features from preoperative
Externí odkaz:
https://doaj.org/article/588219409e5f4521bbe8e55ae69f188c
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
ObjectivesNon-invasive method to predict the histological subtypes preoperatively is essential for the overall management of ovarian cancer (OC). The feasibility of radiomics in the differentiating of epithelial ovarian cancer (EOC) and non-epithelia
Externí odkaz:
https://doaj.org/article/afc60bc79d494edf8f0378ba1e59c63b
Publikováno v:
Frontiers in Oncology, Vol 10 (2021)
Few studies have reported the reproducibility and stability of ultrasound (US) images based radiomics features obtained from automatic segmentation in oncology. The purpose of this study is to study the accuracy of automatic segmentation algorithms b
Externí odkaz:
https://doaj.org/article/fdb8266eec8549ffaa9b93e7aee40d4f
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 8 (2020)
With the development of medical technology, image semantic segmentation is of great significance for morphological analysis, quantification, and diagnosis of human tissues. However, manual detection and segmentation is a time-consuming task. Especial
Externí odkaz:
https://doaj.org/article/6a9c0d040dfa4956bffd0afd82eaa795
Autor:
Zhou Tong, Yu Liu, Hongtao Ma, Jindi Zhang, Bo Lin, Xuanwen Bao, Xiaoting Xu, Changhao Gu, Yi Zheng, Lulu Liu, Weijia Fang, Shuiguang Deng, Peng Zhao
Publikováno v:
Frontiers in Bioengineering and Biotechnology, Vol 8 (2020)
Background: Prediction models for the overall survival of pancreatic cancer remain unsatisfactory. We aimed to explore artificial neural networks (ANNs) modeling to predict the survival of unresectable pancreatic cancer patients.Methods: Thirty-two c
Externí odkaz:
https://doaj.org/article/dbbf65cf1a4347e1a800593074854789
Autor:
Lingna Chen, Yuying Ruan, Liping Ni, Guiting Wang, Yajuan Gao, Jindi Zhang, Dingheng Li, Haiou Xu
Publikováno v:
Autoimmunity; Dec2024, Vol. 57 Issue 1, p1-8, 8p