Zobrazeno 1 - 10
of 903
pro vyhledávání: '"Yucheng LIU"'
Loss of Lateral suppressor gene is associated with evolution of root nodule symbiosis in Leguminosae
Autor:
Tengfei Liu, Zhi Liu, Jingwei Fan, Yaqin Yuan, Haiyue Liu, Wenfei Xian, Shuaiying Xiang, Xia Yang, Yucheng Liu, Shulin Liu, Min Zhang, Yuannian Jiao, Shifeng Cheng, Jeff J. Doyle, Fang Xie, Jiayang Li, Zhixi Tian
Publikováno v:
Genome Biology, Vol 25, Iss 1, Pp 1-24 (2024)
Abstract Background Root nodule symbiosis (RNS) is a fascinating evolutionary event. Given that limited genes conferring the evolution of RNS in Leguminosae have been functionally validated, the genetic basis of the evolution of RNS remains largely u
Externí odkaz:
https://doaj.org/article/1542e6773c0844c7885cbceb37f61b16
Publikováno v:
Journal of Translational Medicine, Vol 22, Iss 1, Pp 1-13 (2024)
Abstract Background The tumor microenvironment (TME) plays a key role in lung cancer initiation, proliferation, invasion, and metastasis. Artificial intelligence (AI) methods could potentially accelerate TME analysis. The aims of this study were to (
Externí odkaz:
https://doaj.org/article/809038d7d1ae4a17920d2724492eaf67
Autor:
Kangyuan Qu, Menglin Shi, Liutong Chen, Yucheng Liu, Xinzhou Yao, Xiaoyue Li, Beiping Tan, Shiwei Xie
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 288, Iss , Pp 117376- (2024)
To date, few study explored the damage of chronic dietary exposure to the lipophilic pesticide deltamethrin (DM) in aquatic animals, and it remains unclear whether its toxicity and residue levels would be affected by dietary lipid levels. Therefore,
Externí odkaz:
https://doaj.org/article/209c4ae57a73485f9a185b6724dcf7d1
Publikováno v:
ACS Omega, Vol 9, Iss 9, Pp 10488-10497 (2024)
Externí odkaz:
https://doaj.org/article/61383e0a58cd4ded89b14435d89bf612
Autor:
Mary M. Salvatore, Yucheng Liu, Boyu Peng, Hao Yun Hsu, Anjali Saqi, Wei-Yann Tsai, Cheng-Shiun Leu, Sachin Jambawalikar
Publikováno v:
Journal of Translational Medicine, Vol 22, Iss 1, Pp 1-9 (2024)
Abstract Purpose Evaluate the behavior of lung nodules occurring in areas of pulmonary fibrosis and compare them to pulmonary nodules occurring in the non-fibrotic lung parenchyma. Methods This retrospective review of chest CT scans and electronic me
Externí odkaz:
https://doaj.org/article/a1d20cec25b14f138c7fafb18bc0b900
Autor:
Yucheng Liu, Hao Yun Hsu, Tiffany Lin, Boyu Peng, Anjali Saqi, Mary M. Salvatore, Sachin Jambawalikar
Publikováno v:
Journal of Translational Medicine, Vol 22, Iss 1, Pp 1-12 (2024)
Abstract Background Chest Computed tomography (CT) scans detect lung nodules and assess pulmonary fibrosis. While pulmonary fibrosis indicates increased lung cancer risk, current clinical practice characterizes nodule risk of malignancy based on nodu
Externí odkaz:
https://doaj.org/article/39ff6bbfb97640db82ad596582b1f6c6
Autor:
Pengpeng Yu, Haizhang Yu, Junhui Cheng, Jingru Nie, Yuxin Liu, Qijian Niu, Qizhi Yang, Yucheng Liu, Guanya Ji
Publikováno v:
Agronomy, Vol 14, Iss 11, p 2550 (2024)
The inherent complexity of cellulose, hemicellulose, and lignin contributes to the recalcitrance of lignocellulosic biomass, resulting in a low conversion efficiency and high cost of bioethanol conversion. Pretreatment methods that disrupt the plant
Externí odkaz:
https://doaj.org/article/fa2566e17d074fc4bce45774d1a75290
Publikováno v:
Land, Vol 13, Iss 10, p 1666 (2024)
This study aims to investigate the coupling and harmonization between land ecological security (LES) and high-quality agricultural development (HAD) in the Han River Basin (HRB), China, with the objective of promoting harmonious coexistence between a
Externí odkaz:
https://doaj.org/article/9d2781ba94c3447d8f0a7a4d0f646f6a
Publikováno v:
Agriculture, Vol 14, Iss 10, p 1798 (2024)
To address the challenges of missed and false detections in citrus fruit detection caused by environmental factors such as leaf occlusion, fruit overlap, and variations in natural light in hilly and mountainous orchards, this paper proposes a citrus
Externí odkaz:
https://doaj.org/article/ac35da04e6494f82a22631542b3f4d52
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 7455 (2024)
Large Language Models (LLMs), based on their highly developed ability to comprehend and generate human-like text, promise to revolutionize all aspects of society. These LLMs facilitate complex language understanding, translation, content generation,
Externí odkaz:
https://doaj.org/article/6e62ab74f7244c979885423290132295