Zobrazeno 1 - 10
of 14 151
pro vyhledávání: '"Bo-An Li"'
Publikováno v:
Hecheng xiangjiao gongye, Vol 47, Iss 5, Pp 367-372 (2024)
A series of star-shaped multi-arm styrene-butadiene copolymers (S-g-SSB-6) were synthesized by living anionic polymerization, with n-butyllithium as initiator, styrene and butadiene as monomers, 2,2-di(tetra-hydrofuran-2-yl) propane as polar structur
Externí odkaz:
https://doaj.org/article/933009f2e4dc40d9852c07f29f1aaa3e
Autor:
Bo-Wen Li, Hao Huang, Man-Sha Huang, Shuang-Lin Guo, Lu Gao, Yu-Ying Zeng, Lu Cheng, Si-Yang Yao, Jian-Qiang Lin, Lin Liu, Ye Yang, Xiao-Ming Lu, Hao Cheng
Publikováno v:
International Journal of Ophthalmology, Vol 17, Iss 7, Pp 1273-1282 (2024)
AIM: To evaluate the trending visual performance of different intraocular lenses (IOLs) over time after implantation. METHODS: Ninety-one patients received cataract surgery with implantations of monofocal (Mon) IOLs, segmental refractive (SegRef) IOL
Externí odkaz:
https://doaj.org/article/13532fadd17b47b48c01f417595a6e9e
Autor:
Han Qi, Yun-Yi Xie, Xiao-Jun Yang, Juan Xia, Kuo Liu, Feng-Xu Zhang, Wen-Juan Peng, Fu-Yuan Wen, Bing-Xiao Li, Bo-Wen Zhang, Xin-Yue Yao, Bo-Ya Li, Hong-Dao Meng, Zu-Min Shi, Yang Wang, Ling Zhang
Publikováno v:
BMC Genomics, Vol 25, Iss 1, Pp 1-15 (2024)
Abstract Background Salt sensitivity of blood pressure (SSBP) is an intermediate phenotype of hypertension and is a predictor of long-term cardiovascular events and death. However, the genetic structures of SSBP are uncertain, and it is difficult to
Externí odkaz:
https://doaj.org/article/5f6f299cc5274be69bab189a99d265b1
Autor:
Kieran Rivers, Bradley Young, Yuanbo T. Tang, Bo-Shiuan Li, Angus J. Wilkinson, David E.J. Armstrong, Junliang Liu
Publikováno v:
Materials & Design, Vol 246, Iss , Pp 113370- (2024)
Refractory high entropy alloys (RHEAs) are candidate materials for nuclear and other high-temperature applications, due to their high-temperature strength, good irradiation resistance, and high melting temperatures. However, a significant issue with
Externí odkaz:
https://doaj.org/article/d64d9bed4db74a39b20f46260b21fb4c
Publikováno v:
Frontiers in Pharmacology, Vol 15 (2024)
BackgroundHelicobacter pylori (H. pylori) infection poses a global health challenge, necessitating diverse treatment strategies. This network meta-analysis aimed to assess various treatment regimens for H. pylori in East and Southeast Asian populatio
Externí odkaz:
https://doaj.org/article/b17f27405a524d5f8c599ffd1e7b138f
Publikováno v:
Microbiology Spectrum, Vol 12, Iss 10 (2024)
ABSTRACT To explore the influence of storage temperature and time on the stability of different concentrations of hepatitis C virus nucleic acid (HCV RNA) samples and to provide data reference for laboratory quality control. Serum samples of 10 patie
Externí odkaz:
https://doaj.org/article/1373b3b535b447909d85533f8212448b
Publikováno v:
Heliyon, Vol 10, Iss 17, Pp e37008- (2024)
Material design is essential for the development and preparation of new materials. In this paper, a new two-dimensional heterostructure material (B@Si) consisting of boronene and silicene is designed and used as an anode material for lithium-ion batt
Externí odkaz:
https://doaj.org/article/aa883826e5924fcbb5895a65ff82dae3
Publikováno v:
Advances in Bridge Engineering, Vol 5, Iss 1, Pp 1-19 (2024)
Abstract In order to clarify the effect of mechanical tensioning and SMA wire heating recovery on introducing prestress into CFRP sheet strengthened reinforced concrete (RC) beams, an experimental research on the bending performance of prestressed CF
Externí odkaz:
https://doaj.org/article/1a090bd1f89f4d03b7572cfe315bd765
Publikováno v:
Applied Artificial Intelligence, Vol 38, Iss 1 (2024)
This research presents a sophisticated model aimed at detecting COVID-19 related misinformation in Traditional Chinese, a critical response to the swift spread of fake news during the pandemic. The model employs an ensemble model of machine learning
Externí odkaz:
https://doaj.org/article/91acef5da3e44d15a19c3333f3f5acc2
Publikováno v:
Heliyon, Vol 10, Iss 16, Pp e35468- (2024)
This study investigates the rampant spread of offensive and derogatory language during the COVID-19 pandemic and aims to mitigate it through machine learning. Employing advanced Large Language Models (LLMs), the research develops a sophisticated fram
Externí odkaz:
https://doaj.org/article/4ee91565352c4e1b95126d1c97db9380