Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Tongtong, Yan"'
The investigation of the role of oral-originated Prevotella-induced inflammation in childhood asthma
Publikováno v:
Frontiers in Microbiology, Vol 15 (2024)
Background and objectivesThe oral and gut microbiota play significant roles in childhood asthma pathogenesis. However, the communication dynamics and pathogenic mechanisms by which oral microbiota influence gut microbiota and disease development rema
Externí odkaz:
https://doaj.org/article/a9ace9006e9f4b938bf1536ef9cfedfd
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 281, Iss , Pp 116662- (2024)
Objective: This study aimed to investigate the mechanism that Lactobacillus murinus (L. murinus) alleviated lung inflammation induced by polycyclic aromatic hydrocarbons (PAHs) exposure based on metabolomics. Methods: Female mice were administrated w
Externí odkaz:
https://doaj.org/article/5e68bcc755bd4320abadcb2f9c72a9d4
Autor:
Tongtong Yan, Kexin Wang, Kexin Feng, Xiangchen Gao, Yinghong Jin, Hongping Wu, Wenfei Zhang, Li Wei
Publikováno v:
Biotechnology for Biofuels and Bioproducts, Vol 16, Iss 1, Pp 1-20 (2023)
Abstract Background Genomic three-dimensional (3D) spatial organization plays a key role in shaping gene expression and associated chromatin modification, and it is highly sensitive to environmental stress conditions. In microalgae, exposure to nitro
Externí odkaz:
https://doaj.org/article/ab9b511cf8c44b9e9f78a7509d37078a
Publikováno v:
Frontiers in Cellular and Infection Microbiology, Vol 13 (2023)
Polymethyl methacrylate (PMMA) frequently features in dental restorative materials due to its favorable properties. However, its surface exhibits a propensity for bacterial colonization, and the material can fracture under masticatory pressure. This
Externí odkaz:
https://doaj.org/article/20ae3e995f42457d9752b2df0e238b9b
Autor:
Tongtong Yan, Dong Wang
Publikováno v:
IEEE Open Journal of Instrumentation and Measurement, Vol 1, Pp 1-12 (2022)
Machine degradation is a complex, dynamic and irreversible process and its modeling is a leading-edge technology in prognostics and health management (PHM). In recent years, machine learning algorithms have been widely used to model machine degradati
Externí odkaz:
https://doaj.org/article/db52d33b511b462ca4189616dca1d526
Publikováno v:
Journal of Personalized Medicine, Vol 13, Iss 3, p 430 (2023)
Recently, many clinical trials have applied platelet-rich plasma (PRP) dressings to treat wounds that have stopped healing, which are also called chronic wounds. However, the clinical efficiency of PRP dressings in treating chronic wounds is still co
Externí odkaz:
https://doaj.org/article/e6ae87bf8fec480abf6deb45c1320044
Publikováno v:
Journal of Personalized Medicine, Vol 13, Iss 3, p 429 (2023)
In recent years, various clinical trials have focused on treating knee osteoarthritis (KOA) with multiple injections of platelet-rich plasma (PRP). However, compared with the multiple hyaluronic acid (m-HA) injections, the clinical efficacy of multip
Externí odkaz:
https://doaj.org/article/3e8509ba35a64528aa8beefdaf1f6405
Publikováno v:
IEEE Transactions on Reliability. 72:27-36
Publikováno v:
Frontiers in Cellular & Infection Microbiology; 2024, p1-15, 15p
Publikováno v:
IEEE Transactions on Reliability. 71:1464-1476
Fault detection and degradation modeling are two main concerns in condition-based maintenance (CBM). The initial machine degradation is called first predicting time (FPT) or incipient failure time. FPT is typically assumed prior information. FPT dete