Zobrazeno 1 - 10
of 1 897
pro vyhledávání: '"Hongbin, Li"'
Autor:
Dongni Liu, Hongbin Li
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Malocclusion is the misalignment of teeth and jaws, affecting oral health and appearance. This study aimed to examine the knowledge, attitude, and practice (KAP) of both adolescents and parents toward malocclusion. This web-based cross-secti
Externí odkaz:
https://doaj.org/article/e327546df0504da481ea9f6f88b5e00c
Autor:
Meihaguli Ainiwaer, Hongtao Jia, Tuo Zhang, Jiaqing Huang, Nan Zhang, Xianqiang Yin, Limei Peng, Hongbin Li, Xibai Zeng
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Sepiolite-modified nano-zero-valent iron (S-nZVI) is used as an amendment and incubated to remediate As-Cd-contaminated soil under three different soil‒water management conditions [moderately wet (MW), continuously flooded (CF) and alterna
Externí odkaz:
https://doaj.org/article/4ecba1d268b045caa0146bc1dda2f716
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Previous studies have indicated a potential association between the alanine aminotransferase to high-density lipoprotein cholesterol (ALT/HDL-C) ratio and the risk of Type 2 Diabetes Mellitus, but its relation with gestational diabetes melli
Externí odkaz:
https://doaj.org/article/1457adabf3ca478483920f849d537465
Publikováno v:
Cell Death Discovery, Vol 10, Iss 1, Pp 1-10 (2024)
Abstract Type I interferon (IFN-I) plays a crucial role in the antiviral immune response and inflammatory autoimmune diseases by inducing the expression of IFN-stimulated genes (ISGs). Hence, the regulation of ISG expression is fundamental for mainta
Externí odkaz:
https://doaj.org/article/c0d3977d67ee413a95a9250bc63cc1a1
Publikováno v:
Biology Direct, Vol 19, Iss 1, Pp 1-9 (2024)
Abstract Moyamoya disease, characterized by basal cerebral artery obstruction, was studied for differential protein expression to elucidate its pathogenesis. Proteomic analysis of cerebrospinal fluid from 10 patients, categorized by postoperative ang
Externí odkaz:
https://doaj.org/article/7768d13d545244fa96a445d78368fdcb
Publikováno v:
Global Medical Genetics, Vol 11, Iss 02, Pp 175-186 (2024)
Background Anaplastic lymphoma kinase (ALK) fusion events account for 3 to 7% of genetic alterations in patients with nonsmall cell lung cancer (NSCLC). This study aimed to explore the landscape of ALK fusion-positive and ALK fusion-negative in a lar
Externí odkaz:
https://doaj.org/article/152d2c69d7f04a5ca7f9265f45e83b12
Publikováno v:
Global Medical Genetics, Vol 11, Iss 02, Pp 150-158 (2024)
Background NFE2L2 (nuclear factor erythroid-2-related factor-2) encodes a basic leucine zipper (bZIP) transcription factor and exhibits variations in various tumor types, including lung cancer. In this study, we comprehensively investigated the impac
Externí odkaz:
https://doaj.org/article/e9d417a1153443fd8cffbd678d65e68f
Publikováno v:
地质科技通报, Vol 43, Iss 3, Pp 323-340 (2024)
Significance To systematically address problems related to the interpretation and evaluation of image logs and expand their application range in geology and engineering fields, firstly, the development history, data processing steps and interpretatio
Externí odkaz:
https://doaj.org/article/a1658bdc1f1a4887bc2cd357ded3475d
Autor:
Tingting Su, Haitao Shen, Mengyuan He, Shanshan Yang, Xue Gong, Ce Huang, Liuling Guo, Hao Wang, Shengyu Feng, Taotao Mi, Meili Zhao, Qing Liu, Fengjiao Huo, Jian-Kang Zhu, Jianbo Zhu, Hongbin Li, Hailiang Liu
Publikováno v:
Immunity & Ageing, Vol 21, Iss 1, Pp 1-18 (2024)
Abstract Background Quercetin is a flavonol compound widely distributed in plants that possesses diverse biological properties, including antioxidative, anti-inflammatory, anticancer, neuroprotective and senescent cell-clearing activities. It has bee
Externí odkaz:
https://doaj.org/article/af29220ea2ce4f53a87d465a5fe40ab0
Autor:
Huifeng Ning, Faqiang Chen, Yunfeng Su, Hongbin Li, Hengzhong Fan, Junjie Song, Yongsheng Zhang, Litian Hu
Publikováno v:
Friction, Vol 12, Iss 6, Pp 1322-1340 (2024)
Abstract The tribological properties of self-lubricating composites are influenced by many variables and complex mechanisms. Data-driven methods, including machine learning (ML) algorithms, can yield a better comprehensive understanding of complex pr
Externí odkaz:
https://doaj.org/article/039da442490e4833b15fa119ec1c2c2d