Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Xuexin YANG"'
Autor:
Jun Zhang, Chenguang Zhang, Xuexin Yang, Lei Li, Yangchun Cao, Xia Zhang, Shuai Zhou, Jiajun Ma, Mengmeng Li, Xinfeng Hou, Zhihong Zhang, Junhu Yao
Publikováno v:
Journal of Dairy Science, Vol 107, Iss 9, Pp 7405-7422 (2024)
ABSTRACT: We investigated the short- and long-term effects of different forage types supplemented in preweaning dairy calves on growth performance, blood metabolites, rumen fermentation, bacterial community, and milk production during first lactation
Externí odkaz:
https://doaj.org/article/36d24e54f27847e28d1751788317569c
Publikováno v:
Zhongguo shuxue zazhi, Vol 35, Iss 4, Pp 404-408 (2022)
Objective To analyze the efficacy of ABO-matched platelet transfusions and ABO-mismatched platelet transfusions in patients with hematonosis and to explore the effect of circulating immune complexes (CIC) on the efficacy. Methods A total of 1 510 pla
Externí odkaz:
https://doaj.org/article/0dd18391fda142ae9c4366090d39af59
Autor:
Lieyan Huang, Lixing Nie, Zhong Dai, Jing Dong, Xiaofei Jia, Xuexin Yang, Lingwen Yao, Shuang-cheng Ma
Publikováno v:
Chinese Medicine, Vol 17, Iss 1, Pp 1-20 (2022)
Abstract Mass spectrometry imaging is a frontier technique which connects classical mass spectrometry with ion imaging. Various types of chemicals could be visualized in their native tissues using mass spectrometry imaging. Up to now, the most common
Externí odkaz:
https://doaj.org/article/0635d9b936b74023b358bea2f6e05933
Publikováno v:
IEEE Access, Vol 9, Pp 66509-66518 (2021)
The purpose of sentiment classification is to solve the problem of automatic judgment of text sentiment tendency. In the sentiment classification task of online reviews, traditional deep learning sentiment classification models focus on algorithm opt
Externí odkaz:
https://doaj.org/article/0c5b4c028cb6472092ca0fc36ca7f474
Autor:
Yue Liu, Xuexin Yang, Chao Zhou, Zhang Wang, Tingting Kuang, Jiayi Sun, Binjie Xu, Xianli Meng, Yi Zhang, Ce Tang
Publikováno v:
Frontiers in Pharmacology, Vol 13 (2022)
Fuzi is a famous toxic traditional herbal medicine, which has long been used for the treatment of various diseases in China and many other Asian countries because of its extraordinary pharmacological activities and high toxicity. Different processing
Externí odkaz:
https://doaj.org/article/22623ce4dfe3475db4fa63ece331572e
Autor:
Xiaoying Han, Xinjian Lei, Xuexin Yang, Jing Shen, Lixin Zheng, Chunjia Jin, Yangchun Cao, Junhu Yao
Publikováno v:
Frontiers in Microbiology, Vol 12 (2021)
High starch diets have been proven to increase the risk of hindgut acidosis in high-yielding dairy animals. As an effective measurement of dietary carbohydrate for ruminants, studies on rumen degradable starch (RDS) and the effects on the gut microbi
Externí odkaz:
https://doaj.org/article/b0785cfc62c34f2bb82fc0b443632e4e
Autor:
Jemima Ho, Xuexin Yang, Spyridoula-Angeliki Nikou, Nessim Kichik, Andrew Donkin, Nicole O. Ponde, Jonathan P. Richardson, Remi L. Gratacap, Linda S. Archambault, Christian P. Zwirner, Celia Murciano, Rhonda Henley-Smith, Selvam Thavaraj, Christopher J. Tynan, Sarah L. Gaffen, Bernhard Hube, Robert T. Wheeler, David L. Moyes, Julian R. Naglik
Publikováno v:
Nature Communications, Vol 10, Iss 1, Pp 1-12 (2019)
Candida albicans is an opportunistic fungus primarily affecting immunocompromised patients. Here, the authors identify a novel mechanism of host immune stimulation and highlight candidalysin and EGFR signalling components as potential targets for pro
Externí odkaz:
https://doaj.org/article/5a35ef4f63da4f5da3fd3d4b2fc4fa96
Publikováno v:
Journal of Intelligent & Fuzzy Systems; 2023, Vol. 45 Issue 5, p8015-8025, 11p
Publikováno v:
Journal of Economics, Finance and Accounting Studies. 4:344-349
After more than three years, the Federal Reserve has once again entered the interest rate hike cycle - the Fed recently announced a 25BP increase in the target range for the federal funds rate to between 0.25% and 0.5% (this is the Fed's first rate h
Publikováno v:
Rapid Communications in Mass Spectrometry.