Zobrazeno 1 - 10
of 11 066
pro vyhledávání: '"LIANG HONG"'
Publikováno v:
Journal of Translational Medicine, Vol 22, Iss 1, Pp 1-15 (2024)
Abstract In recent years, digital dentistry has increasingly utilized advanced image analysis techniques, such as image classification and disease diagnosis, to improve clinical outcomes. Despite these advances, the lack of comprehensive benchmark da
Externí odkaz:
https://doaj.org/article/19434ea2c83648de864c8f12a1040155
Publikováno v:
Pneumonia, Vol 16, Iss 1, Pp 1-11 (2024)
Abstract Background Streptococcus pneumoniae (S. pneumoniae) is a major cause of morbidity and mortality in children worldwide, and its evolving serotype distribution and antibiotic resistance patterns are of global health concern. This meta-analysis
Externí odkaz:
https://doaj.org/article/ad99a7cdfe714237a1e37e1ec63ce533
Autor:
Wenxiu Chen, Hao Zhang, Xiao Shen, Liang Hong, Hong Tao, Jilai Xiao, Shuai Nie, Meng Wei, Ming Chen, Cui Zhang, Wenkui Yu
Publikováno v:
Journal of Cardiothoracic Surgery, Vol 19, Iss 1, Pp 1-8 (2024)
Abstract Background Acute kidney injury (AKI) is a major complication following cardiac surgery. We explored the clinical utility of iron metabolism indexes for identification of patients at risk for AKI after cardiac surgery. Methods This prospectiv
Externí odkaz:
https://doaj.org/article/a4b7f3b2232c43a9b93e925abe88334f
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Nutritional status assessment has been deemed essential in treating elderly cancer patients. This study aims to investigate and compare the prognostic value and clinical utility of pre-treatment nutritional indicators in elderly rectal cance
Externí odkaz:
https://doaj.org/article/5de17854e6e848e08622f820e09206de
Autor:
Bingxin Zhou, Lirong Zheng, Banghao Wu, Kai Yi, Bozitao Zhong, Yang Tan, Qian Liu, Pietro Liò, Liang Hong
Publikováno v:
Cell Discovery, Vol 10, Iss 1, Pp 1-12 (2024)
Abstract Deep learning-based methods for generating functional proteins address the growing need for novel biocatalysts, allowing for precise tailoring of functionalities to meet specific requirements. This advancement leads to the development of hig
Externí odkaz:
https://doaj.org/article/4ea243a29cd74c249fb8b62040863e2a
Publikováno v:
Zhongguo quanke yixue, Vol 27, Iss 34, Pp 4286-4294 (2024)
Background With the continuous development of society and technological innovations, the average life expectancy of human beings has gradually increased, leading to the gradual increase in the number of perimenopausal women. This trend poses a seriou
Externí odkaz:
https://doaj.org/article/05bcf59eb99144309112ca70f14369ea
Autor:
Sha Jin, Xue Fan, Caleb Stamper, Richard A. Mole, Yuanxi Yu, Liang Hong, Dehong Yu, Matteo Baggioli
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract We report neutron-scattering measurements of the density of states (DOS) of water and liquid Fomblin in a wide range of temperatures. In the liquid phase, we confirm the presence of a universal low-energy linear scaling of the experimental D
Externí odkaz:
https://doaj.org/article/590ba67c3086476bb1dc869b2a159252
Publikováno v:
Journal of Cheminformatics, Vol 16, Iss 1, Pp 1-17 (2024)
Abstract Protein language models (PLMs) play a dominant role in protein representation learning. Most existing PLMs regard proteins as sequences of 20 natural amino acids. The problem with this representation method is that it simply divides the prot
Externí odkaz:
https://doaj.org/article/f15cbc3efb904de49fa923434bea1913
Publikováno v:
Animal Bioscience, Vol 37, Iss 8, Pp 1452-1462 (2024)
Objective This study aimed to investigate the effects of dietary supplementation with Agaricus blazei polysaccharide (ABP) at varying concentrations on the performance, egg quality, blood biochemistry, intestinal morphology, and microflora of quail.
Externí odkaz:
https://doaj.org/article/e96bcf4c8da0455ba2d6fca76cca99a4
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Accurately modeling the protein fitness landscapes holds great importance for protein engineering. Pre-trained protein language models have achieved state-of-the-art performance in predicting protein fitness without wet-lab experimental data
Externí odkaz:
https://doaj.org/article/e9d0831c2e30488386f403a7d1e299e5