Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Yingying Hou"'
Autor:
Leyan Xuan, Yingying Hou, Lu Liang, Jialin Wu, Kai Fan, Liming Lian, Jianhua Qiu, Yingling Miao, Hossein Ravanbakhsh, Mingen Xu, Guosheng Tang
Publikováno v:
Nano-Micro Letters, Vol 16, Iss 1, Pp 1-42 (2024)
Highlights This review provides a comprehensive summary associated with recent progress in the preparation and application of microgels. The characteristics and applications of microgels and microgel-based scaffolds for cell culture and delivery are
Externí odkaz:
https://doaj.org/article/b7e32bffd78f4331999ea2c286340ddb
Autor:
Yingying Hou, Min Chen, Yuan Bian, Yuan Hu, Junlan Chuan, Lei Zhong, Yuxuan Zhu, Rongsheng Tong
Publikováno v:
npj Vaccines, Vol 9, Iss 1, Pp 1-13 (2024)
Abstract Immunosenescence increases the risk and severity of diseases in elderly individuals and leads to impaired vaccine-induced immunity. With aging of the global population and the emerging risk of epidemics, developing adjuvants and vaccines for
Externí odkaz:
https://doaj.org/article/9d272df28f5446fa96c5b94cd68657dd
Publikováno v:
NeuroImage, Vol 297, Iss , Pp 120700- (2024)
People perform better collectively than individually, a phenomenon known as the collective benefit. To pursue the benefit, they may learn from previous behaviors, come to know whose initial opinion should be valued, and develop the inclination to tak
Externí odkaz:
https://doaj.org/article/fea02d9a5b97490c803d41f2e6cde83d
Publikováno v:
Mitochondrial DNA. Part B. Resources, Vol 8, Iss 10, Pp 1132-1136 (2023)
Swertia divaricata Harry Sm., 1965, (Gentianaceae) is a perennial herb endemic to Northwest Yunnan, China, belonging to the species-rich genus Swertia. It possesses unique morphological features but its systematic position remains uncertain. To deter
Externí odkaz:
https://doaj.org/article/254255247c6d4faab968486b9afaa4ab
Autor:
Yunting Zhang, Min Jiang, Guangsheng Du, Xiaofang Zhong, Chunting He, Ming Qin, Yingying Hou, Rong Liu, Xun Sun
Publikováno v:
Acta Pharmaceutica Sinica B, Vol 13, Iss 8, Pp 3518-3534 (2023)
The rise of nanotechnology has opened new horizons for cancer immunotherapy. However, most nanovaccines fabricated with nanomaterials suffer from carrier-related concerns, including low drug loading capacity, unpredictable metabolism, and potential s
Externí odkaz:
https://doaj.org/article/aa3e8615132c4663a47cfc59450b5a2d
Publikováno v:
Acta Pharmaceutica Sinica B, Vol 13, Iss 8, Pp 3321-3338 (2023)
Designing and manufacturing safe and effective vaccines is a crucial challenge for human health worldwide. Research on adjuvant-based subunit vaccines is increasingly being explored to meet clinical needs. Nevertheless, the adaptive immune responses
Externí odkaz:
https://doaj.org/article/a9c1063d7b924300b936c6f233bdd899
Autor:
Yimin Tao, Wei Lu, Jinli Gao, Shuangshuang Yang, Chaoyi Ruan, Yingying Hou, Jing Lu, Junjiu Xu, Jianjian Zhang, Stephanie Pasas-Farmer, Qiuping Qin, Likun Gong
Publikováno v:
Molecules, Vol 29, Iss 3, p 572 (2024)
Background: The development of an anti-drug antibody (ADA)-tolerant pharmacokinetic (PK) assay is important when the drug exposure is irrelevant to toxicity in the presence of ADA. We aimed to develop and validate an ADA-tolerant assay for an exateca
Externí odkaz:
https://doaj.org/article/3c75d75cd3584f4da028a319053008f7
Publikováno v:
Journal of Magnesium and Alloys, Vol 10, Iss 7, Pp 1981-1993 (2022)
Both a conventional flow distributer and an improved one with a flow buffer were applied respectively during the high pressure die casting (HPDC) process, and samples of AZ91D magnesium alloy with different microstructure mainly consisting of α-Mg g
Externí odkaz:
https://doaj.org/article/be7418b04299459fb2f973ab30614300
Publikováno v:
IEEE Access, Vol 10, Pp 15311-15321 (2022)
Deduplication technology can obtain higher space utilization by keeping only one duplicate. But in a distributed storage system, the overall deduplication ratio will be limited due to redundancy elimination across nodes. The traditional deduplication
Externí odkaz:
https://doaj.org/article/2f31e3bb1c5d4b029969457b0e0499c3
Publikováno v:
IEEE Access, Vol 10, Pp 36846-36855 (2022)
In recent years, graph neural network is used to process graph data and has been successfully applied to graph node classification task. Due to the complexity of graph structure and the difficulty of obtaining node labels, node classification in data
Externí odkaz:
https://doaj.org/article/06dbbd2ed5a648569aeae971e435f4e3