Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Yinan Huang"'
Autor:
Yinan Huang, Kunjie Wu, Yajing Sun, Yongxu Hu, Zhongwu Wang, Liqian Yuan, Shuguang Wang, Deyang Ji, Xiaotao Zhang, Huanli Dong, Zhongmiao Gong, Zhiyun Li, Xuefei Weng, Rong Huang, Yi Cui, Xiaosong Chen, Liqiang Li, Wenping Hu
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract Optoelectronic properties of semiconductors are significantly modified by impurities at trace level. Oxygen, a prevalent impurity in organic semiconductors (OSCs), has long been considered charge-carrier traps, leading to mobility degradatio
Externí odkaz:
https://doaj.org/article/06b4a8a9ad794b4eaa53a0bcc57e7a4a
Publikováno v:
BMC Medical Research Methodology, Vol 23, Iss 1, Pp 1-11 (2023)
Abstract Background Despite the interest in machine learning (ML) algorithms for analyzing real-world data (RWD) in healthcare, the use of ML in predicting time-to-event data, a common scenario in clinical practice, is less explored. ML models are ca
Externí odkaz:
https://doaj.org/article/6b5792b5bb2e48358adf7bf1aa660420
Outpatient opioid prescribing by Alzheimer’s diagnosis among older adults with pain in United States
Publikováno v:
BMC Geriatrics, Vol 23, Iss 1, Pp 1-6 (2023)
Abstract Objective To examine opioid prescribing practices for pain in older adults with and without Alzheimer’s Disease and Related Dementias (ADRD). Methods This cross-sectional study used National Ambulatory Medical Care Survey data (2014–2016
Externí odkaz:
https://doaj.org/article/b095b6e9344f4b0384f4fa59a5faec01
Autor:
Juan Manuel Silva, Fernanda Peyronel, Yinan Huang, Carlos Eugenio Boschetti, Maria G. Corradini
Publikováno v:
Foods, Vol 13, Iss 15, p 2397 (2024)
The cacao fruit is a rich source of polyphenols, including flavonoids and phenolic acids, which possess significant health benefits. The accurate identification and quantification of these bioactive compounds extracted from different parts of the cac
Externí odkaz:
https://doaj.org/article/3f3191d43638484bb16c10d1cb739d25
Autor:
Lingzi Meng, Yunhui Chen, Lingyi Tang, Xiaoqin Sun, Hongxun Huo, Yuxin He, Yinan Huang, Qi Shao, Shang Pan, Zhen Li
Publikováno v:
Current Research in Microbial Sciences, Vol 6, Iss , Pp 100221- (2024)
Phosphorus (P) is one of the most common limited nutrients in terrestrial ecosystems. Animal bones, with abundant bioapatite, are considerable P sources in terrestrial ecosystems. Heating significantly promotes P release from bone bioapatite, which m
Externí odkaz:
https://doaj.org/article/3c2ce80247f84bcdaf43c6662a144177
Autor:
Yanpeng Wang, Shougang Sun, Yinan Huang, Yao Fu, Jiannan Qi, Kai Tie, Zhongwu Wang, Fei Jiao, Rongmei Si, Xiaosong Chen, Liqiang Li, Wenping Hu
Publikováno v:
Aggregate, Vol 4, Iss 6, Pp n/a-n/a (2023)
Abstract Organic field‐effect transistors (OFETs) show great application potential in organic electronic and optoelectronic fields due to their excellent mechanical flexibility, low cost, and solution processing. However, grain boundaries (GBs) dis
Externí odkaz:
https://doaj.org/article/d7186abda42244e9b0d96047d2346739
Publikováno v:
Cell Transplantation, Vol 32 (2023)
Angiogenesis is strongly associated with ovarian hyperstimulation syndrome (OHSS) progression. Early growth response protein 1 (EGR1) plays an important role in angiogenesis. This study aimed to investigate the function and mechanism of EGR1 involved
Externí odkaz:
https://doaj.org/article/df1472407b7341e2bb2cd2191899a0ec
Publikováno v:
Exploratory Research in Clinical and Social Pharmacy, Vol 11, Iss , Pp 100317- (2023)
Objectives: Machine learning algorithms are being increasingly used for predicting hospital readmissions. This meta-analysis evaluated the performance of logistic regression (LR) and machine learning (ML) models for the prediction of 30-day hospital
Externí odkaz:
https://doaj.org/article/af73eb14aeb1465a8ced1dbd2a70b4f4
Publikováno v:
Exploratory Research in Clinical and Social Pharmacy, Vol 11, Iss , Pp 100307- (2023)
Background: Patients with multiple sclerosis (MS) frequently switch their Disease-Modifying Agents (DMA) for effectiveness and safety concerns. This study aimed to develop and compare the random forest (RF) machine learning (ML) model with the logist
Externí odkaz:
https://doaj.org/article/3f0de0a9a338454bbc766cdb5fbfece3
Autor:
Yinan Huang, Satabdi Chatterjee, Sandeep K. Agarwal, Hua Chen, Michael L. Johnson, Rajender R. Aparasu
Publikováno v:
Exploratory Research in Clinical and Social Pharmacy, Vol 11, Iss , Pp 100296- (2023)
Background: Advances in Disease-Modifying Antirheumatic Drugs (DMARDs) have expanded the treatment landscape for Rheumatoid Arthritis (RA). Guidelines recommend adding either conventional synthetic (cs), biologic (b), or targeted synthetic (ts) DMARD
Externí odkaz:
https://doaj.org/article/f4f76651c906426f83f9cf56bcfd1c1d