Zobrazeno 1 - 10
of 609
pro vyhledávání: '"Huan MENG"'
Autor:
Li-Yong Zhuo, Jia-Wei Hao, Zi-Jun Song, Huan Meng, Tian-Da Wang, Lu-Lu Yang, Zi-Mei Yang, Jia-Mei Ma, Dan Shen, Jing-Jing Cui, Wen-Jing Chen, Wei Yang, Li-Li Zang, Jia-Ning Wang, Xiao-Ping Yin
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract The purpose of this study is to develop a nomogram model for early prediction of the severe mycoplasma pneumoniae pneumonia (SMPP) in Pediatric and Adult Patients. A retrospective analysis was conducted on patients with MPP, classifying them
Externí odkaz:
https://doaj.org/article/651620f94f954791951ae0a54d3d0314
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-12 (2024)
Abstract Satellite-based Quantitative Precipitation Estimates (QPE) are indirect estimates of precipitation rates and as such are often prone to errors, warranting a need for characterizing the associated uncertainties before being used in applicatio
Externí odkaz:
https://doaj.org/article/61932cfb7f124db6bdc88260c485fe39
Publikováno v:
Cancer Cell International, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background Kidney Renal Clear Cell Carcinoma (KIRC) is a common malignant tumor of the urinary system, and its incidence is increasing. ERBB3 binding protein (EBP1) is upregulated in various cancers. However, the connection between EBP1 and
Externí odkaz:
https://doaj.org/article/75f1b9b8a5cd4809ad6dab1e1a414d04
Autor:
Huan Meng, Tian-Da Wang, Li-Yong Zhuo, Jia-Wei Hao, Lian-yu Sui, Wei Yang, Li-Li Zang, Jing-Jing Cui, Jia-Ning Wang, Xiao-Ping Yin
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
PurposeThis study aims to explore the value of clinical features, CT imaging signs, and radiomics features in differentiating between adults and children with Mycoplasma pneumonia and seeking quantitative radiomic representations of CT imaging signs.
Externí odkaz:
https://doaj.org/article/c85dbf05ea0e4688b9026a09e7faf428
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-8 (2024)
Abstract Direct and site-selective C-H functionalization of alkenes under environmentally benign conditions represents a useful and attractive yet challenging transformation to access value-added molecules. Herein, a unified protocol for a variety of
Externí odkaz:
https://doaj.org/article/e0399f518a2b4dfca323ff74026d42cb
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract To validate a radiomics model based on multi-sequence magnetic resonance imaging (MRI) in predicting the ki-67 expression levels in early-stage endometrial cancer, 131 patients with early endometrial cancer who had undergone pathological exa
Externí odkaz:
https://doaj.org/article/9f207705c1c14d40a752cd6ef4aed0ea
Publikováno v:
Cybersecurity, Vol 6, Iss 1, Pp 1-16 (2023)
Abstract In order to address the shortcomings of traditional anonymity network anonymity evaluation methods, which only analyze from the perspective of the overall network and ignore the attributes of individual nodes, we proposes a dynamic anonymity
Externí odkaz:
https://doaj.org/article/42f05fd8522f44958d171c0fe3bb4a06
Publikováno v:
Frontiers in Forests and Global Change, Vol 6 (2024)
BackgroundHigh-quality in-forest landscapes are very important when landscape designers and foresters are planning and managing forest landscape resources. Understanding people’s visual behavior toward in-forest landscapes plays an important role i
Externí odkaz:
https://doaj.org/article/855d1a933d184891a0380b620c6aaaae
Autor:
Dan Wang, Yang Gao, Qi-Qi Lai, Di Wu, Hui-Ying Liu, Huan Meng, Xin-Tong Wang, Yu-Jia Tang, Jia-Xi Xu, Jia-Ning Zhang, Bo-Wen Liu, Jian-Nan Zhang, Dong-Sheng Fei, Kai Kang
Publikováno v:
Journal of International Medical Research, Vol 52 (2024)
Objective To assess the efficacy of dynamic changes in lymphocyte-C-reactive protein ratio (LCR) on differentiating disease severity and predicting disease progression in adult patients with Coronavirus disease 2019 (COVID-19). Methods This single-ce
Externí odkaz:
https://doaj.org/article/8d3e0661b10744ad88483c910058eccd
Publikováno v:
Advanced Science, Vol 11, Iss 9, Pp n/a-n/a (2024)
Abstract RNA interference (RNAi) is a powerful tool for understanding and manipulating signaling pathways in plant science, potentially facilitating the accelerated development of novel plant traits and crop yield improvement. The common strategy for
Externí odkaz:
https://doaj.org/article/936df200f8b8483c83ea2a7cf2bfb7ec