Zobrazeno 1 - 10
of 266
pro vyhledávání: '"QingLiang Li"'
Publikováno v:
Molecular Therapy: Methods & Clinical Development, Vol 32, Iss 4, Pp 101370- (2024)
Efficient manufacturing of recombinant adenovirus-associated virus (AAV) vectors is critical to the successful development of genomic medicines. We attempted to optimize AAV vector production in a producer cell line platform. In this system, helper f
Externí odkaz:
https://doaj.org/article/fcbde8922d384dd2a3422cf2819a1ddb
Autor:
Ying Liu, Jiayou Zhang, Wen Liu, Yongbing Pan, Shunan Ruan, Xuanxuan Nian, Wei Chen, Lina Sun, Qiangling Yin, Xin Yue, Qingliang Li, Fang Gui, Cong Wu, Shuzhen Wang, Yunkai Yang, Zhaofei Jing, Feiguang Long, Zejun Wang, Zeyu Zhang, Chaolin Huang, Kai Duan, Mifang Liang, Xiaoming Yang
Publikováno v:
Emerging Microbes and Infections, Vol 13, Iss 1 (2024)
ABSTRACTFollowing the national dynamic zero-COVID strategy adjustment, the utilization of broad-spectrum nasal neutralizing antibodies may offer an alternative approach to controlling the outbreak of Omicron variants between late 2022 and early 2023
Externí odkaz:
https://doaj.org/article/0b3823c6fe634e4ca1410f864e19a3f0
Publikováno v:
Frontiers in Earth Science, Vol 12 (2024)
Currently, in Synthetic Aperture Radar Automatic Target Recognition (SAR ATR), few-shot methods can save cost and resources while enhancing adaptability. However, due to the limitations of SAR imaging environments and observation conditions, obtainin
Externí odkaz:
https://doaj.org/article/160754cd0f98444cb15dc77ee9c1a14d
Publikováno v:
Journal of Cheminformatics, Vol 16, Iss 1, Pp 1-22 (2024)
Abstract PubChem ( https://pubchem.ncbi.nlm.nih.gov ) is a public chemical information resource containing more than 100 million unique chemical structures. One of the most requested tasks in PubChem and other chemical databases is to search chemical
Externí odkaz:
https://doaj.org/article/7114178bfe8a4ee48adb958256877300
Autor:
Qingliang Li, Qiyun Xiao, Cheng Zhang, Jinlong Zhu, Xiao Chen, Yuguang Yan, Pingping Liu, Wei Shangguan, Zhongwang Wei, Lu Li, Wenzong Dong, Yongjiu Dai
Publikováno v:
Geoderma, Vol 449, Iss , Pp 116999- (2024)
Understanding and predicting global soil moisture (SM) is crucial for water resource management and agricultural production. While deep learning methods (DL) have shown strong performance in SM prediction, imbalances in training samples with differen
Externí odkaz:
https://doaj.org/article/7d37dc613a9447ed95ac1067373f3490
Publikováno v:
Geoderma, Vol 447, Iss , Pp 116912- (2024)
Digital soil mapping relies on statistical relationships between soil profile observations and environmental covariates at the sample locations. However, inherent limitations of legacy soil profiles, such as inaccurate georeferencing, could frequentl
Externí odkaz:
https://doaj.org/article/5caf5f42f45040eeaaddb7f65cf4784e
Publikováno v:
Frontiers in Environmental Science, Vol 12 (2024)
Soil temperature is a key parameter in many disciplines, and its research has important practical significance. In recent years, the prediction of soil temperature by deep learning has achieved good results. However, deep learning is difficult to pop
Externí odkaz:
https://doaj.org/article/c45e0bcef25f471d8b3b04729ece3861
Publikováno v:
Earth and Planetary Physics, Vol 8, Iss 2, Pp 408-414 (2024)
During the course of ionospheric heating experiments, researchers at the European Incoherent Scatter Scientific Association (EISCAT) observed an apparent electron density enhancement. The enhancement extended over a wide range of altitudes, above the
Externí odkaz:
https://doaj.org/article/4ed5d000fb3c42788a01f8e02a1b2f05
Publikováno v:
Symmetry, Vol 16, Iss 10, p 1289 (2024)
Pareto dominance-based algorithms face a significant challenge in handling many-objective optimization problems. As the number of objectives increases, the sharp rise in non-dominated individuals makes it challenging for the algorithm to differentiat
Externí odkaz:
https://doaj.org/article/a73607d5ceed450fbdffdc9a3b8f1582
Publikováno v:
International Journal of Fruit Science, Vol 23, Iss 1, Pp 135-150 (2023)
ABSTRACTChina has abundant germplasm resources of pomegranate. Previous studies have analyzed the fruit quality of the cultivated and wild pomegranates collected from different regions of China. In this study, 45 pomegranate cultivars from Yicheng, S
Externí odkaz:
https://doaj.org/article/e8336f97ed24482c92b5312fb67ac445