Zobrazeno 1 - 10
of 4 218
pro vyhledávání: '"YUN Liang"'
Publikováno v:
Shipin gongye ke-ji, Vol 45, Iss 24, Pp 147-156 (2024)
To improve the immunoassay performance of mycotoxin anti-idiotype nanobody and to realize mimicry of bispecific detected antigens, in this study, anti-idiotype nanobody against zearalenone (ZEN) and deoxynivalenol (DON) were used, and the SpyCatcher/
Externí odkaz:
https://doaj.org/article/7794bb04466b44feac889d40132b9213
Autor:
Fei Liu, Panli Li, Junyan Xu, Jianping Zhang, Xiaoping Xu, Zhihao Chen, Ying Qiao, Yun Liang, Jie Chen, Shaoli Song
Publikováno v:
EJNMMI Research, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Background We conducted a study on radiation exposure in patients with gastroenteropancreatic neuroendocrine neoplasms (GEP-NENs) treated with [177Lu]Lu-DOTA-TATE in China for the first time, aiming to provide guidance and reference for radi
Externí odkaz:
https://doaj.org/article/5e59ef807f46481397fb2bf88ac15c85
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Blunt force trauma (BFT), the injury of the body by forceful impacts such as falls, motor vehicle crashes and collisions, causes damage to bio-organs that can lead to life-threatening situations. To address the unmet need of bioprotection ma
Externí odkaz:
https://doaj.org/article/96e6c8115e7e49db853e4645d05bf594
Autor:
Tingyu Li, Xinyu Chen, Bo Li, Donglai Hua, Can Luo, Huixian Luo, Yun Liang, Jieli Yue, Xiaodan Xi, Ke Huang, Zhixi Fu
Publikováno v:
PhytoKeys, Vol 248, Iss , Pp 73-90 (2024)
Primula meishanensis K.Huang & Z.X.Fu, sp. nov., a new species of Primulaceae from Meishan City, Sichuan Province, China, is described and illustrated. The morphological data and phylogenetic analysis, based on the complete chloroplast genome, sugges
Externí odkaz:
https://doaj.org/article/b64d8a5487ff40b58fbd43bf29a57e48
Autor:
Yun Liang, Maimaitiaili Sailai, Rui Ding, Baihitiyaer Yimamu, Tayierjiang kazi, Ming He, Zehui Liu, Junyu Lin, Yile Liu, Chaolun Deng, Jiangtao Huang, Xingwei Zhang, Zheng Chen, Yonghui Su
Publikováno v:
BMC Gastroenterology, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background Gangrene and perforation are severe complications of acute appendicitis, associated with a higher mortality rate compared to uncomplicated appendicitis. Accurate preoperative identification of Gangrenous or perforated appendicitis
Externí odkaz:
https://doaj.org/article/0d7b2a15a49e4baea32541c73bab9596
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract Diabetic nephropathy (DN) is one of the most important comorbidities of diabetic patients, which places large physiological and economic burdens on patients. Safflower yellow, a natural pigment extracted from the petals of safflower, has bee
Externí odkaz:
https://doaj.org/article/495aecd92f014cbcac9d83bbec001fe0
Autor:
Mengke Ma, Wenchao Gu, Yun Liang, Xueping Han, Meng Zhang, Midie Xu, Heli Gao, Wei Tang, Dan Huang
Publikováno v:
Journal of Translational Medicine, Vol 22, Iss 1, Pp 1-14 (2024)
Abstract Background Postoperative liver metastasis significantly impacts the prognosis of pancreatic neuroendocrine tumor (panNET) patients after R0 resection. Combining computational pathology and deep learning radiomics can enhance the detection of
Externí odkaz:
https://doaj.org/article/33843db9e41340af9a33c6eda218aebe
Publikováno v:
Smart Agricultural Technology, Vol 9, Iss , Pp 100566- (2024)
Automatic analysis of pig behavior is crucial for assessing their health and welfare status in group-housed pig farms. Currently, computer vision technology has been widely applied to recognize and track pig behavior. However, these applications lack
Externí odkaz:
https://doaj.org/article/820b7466a4624f3b9a3660701637c976
Publikováno v:
European Journal of Taxonomy, Vol 968, Iss 1 (2024)
Three new species of Meotipa Simon, 1895 are described based on specimens collected from Guangxi Zhuang Autonomous Region, China: Meotipa lingulata sp. nov. (female), M. pseudomultuma sp. nov. (both male and female) and M. tortuosa sp. nov. (both mal
Externí odkaz:
https://doaj.org/article/efb07bdb9aae4bf087e82375c5345a0f
Publikováno v:
IET Image Processing, Vol 18, Iss 9, Pp 2257-2272 (2024)
Abstract In recent years, most video segmentation methods use deep CNN to process the input image, but they did not fully mine the rich intermediate predictions in spatio‐temporal space. And, the segmentation challenges such as occlusion, severe de
Externí odkaz:
https://doaj.org/article/1950ea4a50c248c18dd6f4d2c8adb354