Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Xueqi Ma"'
Publikováno v:
Zhongguo gonggong weisheng, Vol 40, Iss 4, Pp 408-412 (2024)
ObjectiveTo analyze the research findings and development trends of parental safety literacy in relation to child injury prevention, and to establish a theoretical framework for the development of assessment tool on the parental safety literacy. Meth
Externí odkaz:
https://doaj.org/article/c4a377ee49cb49f3a0dbeee5d6b639c5
Autor:
Mayu Sun, Xueqi Ma, Wei Mu, Haonan Li, Xiaoming Zhao, Tengfei Zhu, Jingquan Li, Yongliang Yang, Haibing Zhang, Qian Ba, Hui Wang
Publikováno v:
Cell Death and Disease, Vol 14, Iss 8, Pp 1-13 (2023)
Abstract Necroptosis, a programmed cell death with necrotic-like morphology, has been recognized as an important driver in various inflammatory diseases. Inhibition of necroptosis has shown potential promise in the therapy of multiple human diseases.
Externí odkaz:
https://doaj.org/article/e9820d2643c44cfa94c6fade590634e9
Autor:
Yuheng Feng, Xueqi Ma, Qi Zhang, Ruo Jiang, Jun Lu, Kaiyue Chen, Huiping Wang, Qinghua Xia, Jicui Zheng, Jingwei Xia, Xiaohong Li
Publikováno v:
BMC Public Health, Vol 22, Iss 1, Pp 1-12 (2022)
Abstract Background Unintentional injuries to children are a major public health problem. The online social media is a potential way to implement health education for caregivers in online communities. Using WeChat, a free and popular social media ser
Externí odkaz:
https://doaj.org/article/c2de71191bca488ba5fdf43769021930
Autor:
Liuyang Cai, Fengling Yang, Yongfang Wang, Jishun Yang, Yina Zhu, Xueqi Ma, Juan Höfer, Yichao Wang, Yajun Ma, Liang Xiao
Publikováno v:
Proteome Science, Vol 20, Iss 1, Pp 1-12 (2022)
Abstract Background Multi-omics technology provides a good tool to analyze the protein toxin composition and search for the potential pathogenic factors of Solenopsis invicta, under the great harm of the accelerated invasion in southern China. Method
Externí odkaz:
https://doaj.org/article/9d009b3d9be4418d8669560ac9f7de34
Autor:
Yuheng Feng, Xiaohong Li, Xueqi Ma, Zhixu Zhu, Kaiyue Chen, Jun Gao, Jingwei Xia, Ruo Jiang, Jun Lu
Publikováno v:
Frontiers in Public Health, Vol 10 (2023)
IntroductionUnintentional injury among children represents a major public health problem. Online-social-network-based parental-health-education is a potential way to reduce child unintentional injuries. The study aimed to explore the mechanisms by wh
Externí odkaz:
https://doaj.org/article/df36a98ce05e4bea86045636807c2781
Autor:
Jingxian Feng, Doudou Huang, Yingbo Yang, Junfeng Chen, Shi Qiu, Zongyou Lv, Xueqi Ma, Yuanyu Li, Rongrong Li, Ying Xiao, Wansheng Chen
Publikováno v:
Molecular Horticulture, Vol 1, Iss 1, Pp 1-14 (2021)
Abstract Isatis indigotica Fort. (Chinese woad) is a species with an ancient and well-documented history as an indigo dye and medicinal plant. It is often confused with Isatis tinctoria L. (European woad), a medicinal plant in Europe. Here, the diffe
Externí odkaz:
https://doaj.org/article/aa90ce00d93d4d3683f4f811a7691653
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Cofactors are crucial for the biosynthesis of natural compounds, and cofactor engineering is a useful strategy for enzyme optimization due to its potential to enhance enzyme efficiency. Secoisolariciresinol dehydrogenase (SIRD) was reported to conver
Externí odkaz:
https://doaj.org/article/b8d820b77c75401995d439e5256d6f4c
Autor:
Ying Xiao, Kai Shao, Jingwen Zhou, Lian Wang, Xueqi Ma, Di Wu, Yingbo Yang, Junfeng Chen, Jingxian Feng, Shi Qiu, Zongyou Lv, Lei Zhang, Peng Zhang, Wansheng Chen
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021)
Pinoresinol–lariciresinol reductases (PLRs) are enzymes involved in the lignan biosynthesis. Here, crystal structures of three PLRs in the apo, substrate-bound and product-bound states, and accompanying mutagenesis provide insight into PLRs catalyt
Externí odkaz:
https://doaj.org/article/c447762f36564f00bfa424a474de6a37
Publikováno v:
IEEE Transactions on Multimedia. 24:3989-4001
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53e5de11baab7b3fddec1b288f306629
https://doi.org/10.1109/tmm.2021.3111500
https://doi.org/10.1109/tmm.2021.3111500
Publikováno v:
Machine Learning and Knowledge Discovery in Databases ISBN: 9783031263897
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4f49cf8c8451857458afb1a82653bdc
https://doi.org/10.1007/978-3-031-26390-3_23
https://doi.org/10.1007/978-3-031-26390-3_23
