Zobrazeno 1 - 10
of 3 182
pro vyhledávání: '"Yinglan, A"'
Evolutionary Multitasking (EMT) paradigm, an emerging research topic in evolutionary computation, has been successfully applied in solving high-dimensional feature selection (FS) problems recently. However, existing EMT-based FS methods suffer from s
Externí odkaz:
http://arxiv.org/abs/2401.01563
Publikováno v:
BMC Nursing, Vol 23, Iss 1, Pp 1-23 (2024)
Abstract Purpose This study aims to summarize the latest and best evidence on central venous access device-related thrombosis (CRT) in hospitalized children, which provides theoretical support for standardizing the preventive care practice of CRT in
Externí odkaz:
https://doaj.org/article/69b3733996414880949e77892acd7bd3
Autor:
Liang Wang, Ziyun Yang, Fudo Satoshi, Xavier Prasanna, Ziyi Yan, Helena Vihinen, Yaxing Chen, Yue Zhao, Xiumei He, Qian Bu, Hongchun Li, Ying Zhao, Linhong Jiang, Feng Qin, Yanping Dai, Ni Zhang, Meng Qin, Weihong Kuang, Yinglan Zhao, Eija Jokitalo, Ilpo Vattulainen, Tommi Kajander, Hongxia Zhao, Xiaobo Cen
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-30 (2024)
Abstract The Bin/Amphiphysin/Rvs (BAR) domain protein FAM92A1 is a multifunctional protein engaged in regulating mitochondrial ultrastructure and ciliogenesis, but its physiological role in the brain remains unclear. Here, we show that FAM92A1 is exp
Externí odkaz:
https://doaj.org/article/345ca2ed37524fef9b09f5e108e25a96
Autor:
Chengzhi Qin, Han Ye, Shulin Wang, Lange Zhao, Menglin Liu, Yinglan Li, Xinyuan Hu, Chenyu Liu, Bing Wang, Stefano Longhi, Peixiang Lu
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Refraction is a basic beam bending effect at two media’s interface. While traditional studies focus on stationary boundaries, moving boundaries or potentials could enable new laws of refractions. Meanwhile, media’s discretization plays a
Externí odkaz:
https://doaj.org/article/0b18e99384a340df9d247059f8fa70ea
Autor:
Kohei Otomo, Takaki Omura, Yuki Nozawa, Steven J. Edwards, Yukihiko Sato, Yuri Saito, Shigehiro Yagishita, Hitoshi Uchida, Yuki Watakabe, Kiyotada Naitou, Rin Yanai, Naruhiko Sahara, Satoshi Takagi, Ryohei Katayama, Yusuke Iwata, Toshiro Shiokawa, Yoku Hayakawa, Kensuke Otsuka, Haruko Watanabe-Takano, Yuka Haneda, Shigetomo Fukuhara, Miku Fujiwara, Takenobu Nii, Chikara Meno, Naoki Takeshita, Kenta Yashiro, Juan Marcelo Rosales Rocabado, Masaru Kaku, Tatsuya Yamada, Yumiko Oishi, Hiroyuki Koike, Yinglan Cheng, Keisuke Sekine, Jun-ichiro Koga, Kaori Sugiyama, Kenichi Kimura, Fuyuki Karube, Hyeree Kim, Ichiro Manabe, Tomomi Nemoto, Kazuki Tainaka, Akinobu Hamada, Hjalmar Brismar, Etsuo A. Susaki
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-19 (2024)
Abstract Despite widespread adoption of tissue clearing techniques in recent years, poor access to suitable light-sheet fluorescence microscopes remains a major obstacle for biomedical end-users. Here, we present descSPIM (desktop-equipped SPIM for c
Externí odkaz:
https://doaj.org/article/95dd009f5a8b43a5ace8ca6748af01ea
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Airway remodelling in lung diseases can be treated by inhibiting excessive smooth muscle cell proliferation. Zedoarondiol (Zed) is a natural compound isolated from the Chinese herb Curcuma longa. The caveolin-1 (CAV-1) is widely expressed in
Externí odkaz:
https://doaj.org/article/4435a8e8d6ab43df9dc2eb39615339e6
Publikováno v:
BMC Public Health, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Objective To explore the risk factors for maternal near-miss (MNM) using the WHO near-miss approach. Methods Data were obtained from the Maternal Near-Miss Surveillance System in Hunan Province, China, 2012–2022. Multivariate logistic regr
Externí odkaz:
https://doaj.org/article/a980814890854fedb46aedfaa44f0fea
Autor:
Lyu, Yinglan1 (AUTHOR), Feng, Wandi2 (AUTHOR), Song, Jingze3 (AUTHOR), Wang, Chunguo4 (AUTHOR), Fu, Yu3 (AUTHOR), Zhao, Baosheng4 (AUTHOR), Meng, Yanyan4 (AUTHOR) myy21_2001@163.com
Publikováno v:
Scientific Reports. 6/7/2024, Vol. 14 Issue 1, p1-12. 12p.
Autor:
Na Su, Rui Tang, Yice Zhang, Jiaqi Ni, Yimei Huang, Chunqi Liu, Yuzhou Xiao, Baoting Zhu, Yinglan Zhao
Publikováno v:
Frontiers in Pharmacology, Vol 15 (2024)
ObjectivesThis study aimed to identify the risk factors for pancreatic cancer through machine learning.MethodsWe investigated the relationships between different risk factors and pancreatic cancer using a real-world retrospective cohort study conduct
Externí odkaz:
https://doaj.org/article/777ffb68aa704d1091554f84d5162070
Autor:
Liangjia Zeng, Yinglan Liang, Ruoyun Zhou, Wenting Yang, Kexin Chen, Baixin He, Yuqing Qiu, Linglong Liu, Deyang Zhou, Zhaolin Xiao, Haowen Liang, Binghua Zhang, Renyu Li, Lihong Yu, Min Yi, Xiaozhen Lin
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 11 (2024)
IntroductionIt has been found that programmed cell death protein-1 (PD-1) or its ligand PD-L1 may play an important role in the onset and progression of coronary heart disease (CHD). Thus, we conducted this mendelian randomization analysis (MR) to es
Externí odkaz:
https://doaj.org/article/fe2011115dc241efbf86f36c04b978a3