Výsledky vyhledávání - "Mingliang Su"

Akademický článek

Predictive models for small-for-gestational-age births in women exposed to pesticides before pregnancy based on multiple machine learning algorithms

Autor: Xi Bai, Zhibo Zhou, Mingliang Su, Yansheng Li, Liuqing Yang, Kejia Liu, Hongbo Yang, Huijuan Zhu, Shi Chen, Hui Pan

Publikováno v: Frontiers in Public Health, Vol 10 (2022)

BackgroundThe association between prenatal pesticide exposures and a higher incidence of small-for-gestational-age (SGA) births has been reported. No prediction model has been developed for SGA neonates in pregnant women exposed to pesticides prior t

Externí odkaz: https://doaj.org/article/968434cfce0840ff818b6a43a3204f23

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Akademický článek

Establishment and Implementation of Potential Fluid Therapy Balance Strategies for ICU Sepsis Patients Based on Reinforcement Learning

Autor: Longxiang Su, Yansheng Li, Shengjun Liu, Siqi Zhang, Xiang Zhou, Li Weng, Mingliang Su, Bin Du, Weiguo Zhu, Yun Long

Publikováno v: Frontiers in Medicine, Vol 9 (2022)

ObjectiveFluid therapy for sepsis patients has always been a problem that puzzles clinicians, that is, knowing when patients need fluid infusion and when they need negative fluid balance. Different clinicians may have different judgment criteria and

Externí odkaz: https://doaj.org/article/4bb5a25c4dba4384857410224df48814

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Akademický článek

Predicting 1-Hour Thrombolysis Effect of r-tPA in Patients With Acute Ischemic Stroke Using Machine Learning Algorithm

Autor: Bin Zhu, Jianlei Zhao, Mingnan Cao, Wanliang Du, Liuqing Yang, Mingliang Su, Yue Tian, Mingfen Wu, Tingxi Wu, Manxia Wang, Xingquan Zhao, Zhigang Zhao

Publikováno v: Frontiers in Pharmacology, Vol 12 (2022)

Background: Thrombolysis with r-tPA is recommended for patients after acute ischemic stroke (AIS) within 4.5 h of symptom onset. However, only a few patients benefit from this therapeutic regimen. Thus, we aimed to develop an interpretable machine le

Externí odkaz: https://doaj.org/article/8cbe026625d5412c8aea0cd3b2ee64f7

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Akademický článek

Development and Interpretation of Multiple Machine Learning Models for Predicting Postoperative Delayed Remission of Acromegaly Patients During Long-Term Follow-Up

Autor: Congxin Dai, Yanghua Fan, Yichao Li, Xinjie Bao, Yansheng Li, Mingliang Su, Yong Yao, Kan Deng, Bing Xing, Feng Feng, Ming Feng, Renzhi Wang

Publikováno v: Frontiers in Endocrinology, Vol 11 (2020)

Background: Some patients with acromegaly do not reach the remission standard in the short term after surgery but achieve remission without additional postoperative treatment during long-term follow-up; this phenomenon is defined as postoperative del

Externí odkaz: https://doaj.org/article/1b9b6f6af45548fdbc74bf58037c4b5f

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Combined chemo-immuno-photothermal therapy based on ursolic acid/astragaloside IV-loaded hyaluronic acid-modified polydopamine nanomedicine inhibiting the growth and metastasis of non-small cell lung cancer

Autor: Fan Xu, Minghua Li, Zujun Que, Mingliang Su, Wang Yao, Yu Zhang, Bin Luo, Yan Li, Zhanxia Zhang, Jianhui Tian

Publikováno v: Journal of Materials Chemistry B. 11:3453-3472

Combined chemo-immuno-photothermal therapy based on ursolic acid/astragaloside IV-loaded hyaluronic acid-modified polydopamine nanomedicine is a promising strategy for the treatment of non-small cell lung cancer (NSCLC) metastasis.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::28e04dbd48c446177a5b51394ed6191a
https://doi.org/10.1039/d2tb02328h

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Advances in Antitumor Nano-Drug Delivery Systems of 10-Hydroxycamptothecin

Autor: Yukun Chen, Zhenzhi Wang, Xiaofan Wang, Mingliang Su, Fan Xu, Lian Yang, Lijun Jia, Zhanxia Zhang

Publikováno v: International journal of nanomedicine. 17

10-Hydroxycamptothecin (HCPT) is a natural plant alkaloid from Camptotheca that shows potent antitumor activity by targeting intracellular topoisomerase I. However, factors such as instability of the lactone ring and insolubility in water have limite

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::27c430486635851dace9cbddfb30e758
https://pubmed.ncbi.nlm.nih.gov/36134205

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Akademický článek

SURFACE DIELECTRIC BARRIER DISCHARGE ON LOCALLY BULGED MATERIAL.

Autor: Yichao YUAN, Mingliang SU, Shen ZHAO, Wei ZHANG, Chuliang DONG

Publikováno v: Proceedings of the Romanian Academy, Series A: Mathematics, Physics, Technical Sciences, Information Science; avr-jun2023, Vol. 24 Issue 2, p129-135, 6p

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Akademický článek

Clinical insights into tooth extraction via torsion method: a biomechanical analysis of the tooth-periodontal ligament complex

Autor: Jiawei Xing, Guangzeng Zhang, Mingliang Sun, Hao Pan, Congdi Zhang, Yao Liu, Kehan Li, Ze He, Kailiang Zhang, Jizeng Wang, En Luo, Baoping Zhang

Publikováno v: Frontiers in Bioengineering and Biotechnology, Vol 12 (2024)

Traditionally, extracting single, flat- or curved-rooted teeth through twisting is unfeasible. However, our clinical practice suggests that such teeth can be extracted efficiently through moderate twisting in a minimally invasive manner. Given the la

Externí odkaz: https://doaj.org/article/12c0ae3e95774b86850396076ef042ea

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