Zobrazeno 1 - 10
of 197
pro vyhledávání: '"YIXING FAN"'
Autor:
Jincheng Shen, Taiyu Hui, Man Bai, Yixing Fan, Yubo Zhu, Qi Zhang, Ruqing Xu, Jialiang Zhang, Zeying Wang, Wenxin Zheng, Wenlin Bai
Publikováno v:
Animal Bioscience, Vol 37, Iss 12, Pp 2066-2080 (2024)
Objective The objective of this study was to identify the N6-methyladenosine (m6A)-circHECA molecule in secondary hair follicles (SHFs) of cashmere goats, and generate its potential regulatory network, as well as explore the potential relationship be
Externí odkaz:
https://doaj.org/article/eb3fccc213e74909afb5e216a041503f
Autor:
Sun, Xiaojie, Bi, Keping, Guo, Jiafeng, Ma, Xinyu, Yixing, Fan, Shan, Hongyu, Zhang, Qishen, Liu, Zhongyi
Grounded on pre-trained language models (PLMs), dense retrieval has been studied extensively on plain text. In contrast, there has been little research on retrieving data with multiple aspects using dense models. In the scenarios such as product sear
Externí odkaz:
http://arxiv.org/abs/2308.11474
Autor:
Ronghuan Yin, Ronglan Yin, Man Bai, Yixing Fan, Zeying Wang, Yubo Zhu, Qi Zhang, Taiyu Hui, Jincheng Shen, Siyu Feng, Wenlin Bai
Publikováno v:
Animal Bioscience, Vol 36, Iss 4, Pp 555-569 (2023)
Objective The objective of this study was to investigate the effects of N6-Methyladenosine modification-circRNA-zinc finger protein 638 (m6A-circRNA-ZNF638) on the induced activation of secondary hair follicle (SHF) stem cells with its potential mech
Externí odkaz:
https://doaj.org/article/d2a62bf50f9a4eef8a831c340229909f
Autor:
Jincheng Shen, Taiyu Hui, Man Bai, Yixing Fan, Yubo Zhu, Qi Zhang, Ruqing Xu, Jialiang Zhang, Zeying Wang, Wenxin Zheng, Wenlin Bai
Publikováno v:
Animal Bioscience; Dec2024, Vol. 37 Issue 12, p2066-2080, 15p
Autor:
Qi Zhang, Yixing Fan, Man Bai, Yubo Zhu, Zeying Wang, Jincheng Shen, Ruqing Xu, Wenxin Zheng, Wenlin Bai
Publikováno v:
Animals, Vol 14, Iss 2, p 187 (2024)
The cashmere, a kind of nature protein fiber, is one of the main use of cashmere goats. The induced activation of secondary hair follicle (SHF) stem cells by the dermal papilla cell-derived signals is a key biological process for the morphogenesis an
Externí odkaz:
https://doaj.org/article/e5bf36f8a5d14bbd9fff21f254983083
Publikováno v:
Czech Journal of Animal Science, Vol 67, Iss 6, Pp 237-251 (2022)
Circular RNAs (circRNAs) were identified as noncoding RNAs with covalently closed structures differing from other types of RNA molecules. It was thought that circRNAs were implicated in the development of secondary hair follicles (SHFs) of cashmere g
Externí odkaz:
https://doaj.org/article/1b8e4118492243c7bc40ae8409fd8ea6
Autor:
Gao Gong, Yixing Fan, Xiaochun Yan, Wenze Li, Xiaomin Yan, Hongfu Liu, Ludan Zhang, Yixing Su, Jiaxin Zhang, Wei Jiang, Zhihong Liu, Zhiying Wang, Ruijun Wang, Yanjun Zhang, Qi Lv, Jinquan Li, Rui Su
Publikováno v:
Frontiers in Veterinary Science, Vol 9 (2022)
Cashmere goat from Inner Mongolia is an excellent local breed in China, and the related cashmere product is a kind of precious textile raw material with high price. Cashmere is generated from secondary hair follicles, which has obvious annual periodi
Externí odkaz:
https://doaj.org/article/eacc58e244c14245824fd1689b5c27ae
Autor:
Zeying Wang, Yanru Wang, Taiyu Hui, Rui Chen, Yanan Xu, Yu Zhang, He Tian, Wei Wang, Yuyan Cong, Suping Guo, Yanxu Zhu, Xinghui Zhang, Dan Guo, Man Bai, Yixing Fan, Chang Yue, Zhixian Bai, Jiaming Sun, Weidong Cai, Xinjiang Zhang, Ming Gu, Yuting Qin, Yinggang Sun, Yanzhi Wu, Rina Wu, Xingtang Dou, Wenlin Bai, Yuanyuan Zheng
Publikováno v:
Frontiers in Genetics, Vol 12 (2021)
Cashmere fineness is one of the important factors determining cashmere quality; however, our understanding of the regulation of cashmere fineness at the cellular level is limited. Here, we used single-cell RNA sequencing and computational models to i
Externí odkaz:
https://doaj.org/article/2bbf72de8d3c4fefbe44a2c7254949d9
Publikováno v:
IEEE Access, Vol 7, Pp 156848-156859 (2019)
Stochastic gradient descent(SGD) is the fundamental sequential method in training large scale machine learning models. To accelerate the training process, researchers proposed to use the asynchronous stochastic gradient descent (A-SGD) method in mode
Externí odkaz:
https://doaj.org/article/699670981a294949a6a0f6d6b8e9a23f
Publikováno v:
ACM Transactions on Information Systems; Oct2023, Vol. 41 Issue 4, p1-27, 27p