Zobrazeno 1 - 10
of 121
pro vyhledávání: '"Xuanyi, Li"'
Autor:
Qian Jiang, Qifeng Yang, Chenting Zhang, Chi Hou, Wei Hong, Min Du, Xiaoqian Shan, Xuanyi Li, Dansha Zhou, Dongmei Wen, Yuanhui Xiong, Kai Yang, Ziying Lin, Jingjing Song, Zhanjie Mo, Huazhuo Feng, Yue Xing, Xin Fu, Chunli Liu, Fang Peng, Liling Wu, Bing Li, Wenju Lu, Jason X.-J. Yuan, Jian Wang, Yuqin Chen
Publikováno v:
Respiratory Research, Vol 25, Iss 1, Pp 1-16 (2024)
Abstract Background Chronic kidney disease (CKD) is a significant risk factor for pulmonary hypertension (PH), a complication that adversely affects patient prognosis. However, the mechanisms underlying this association remain poorly understood. A ma
Externí odkaz:
https://doaj.org/article/08f68fc792254cb6bd2f255d437869e5
Autor:
Jinyao Xu, Zhenkai Zou, Xuanyi Li, Xiangjun Sun, Xufeng Wang, Feng Qin, Abulikemu Abulizi, Qian Chen, Zhigang Pan, Hexiao Shen, Yongling Lv, Ruicheng Yan
Publikováno v:
Frontiers in Microbiology, Vol 15 (2024)
Gegen Qinlian Decoction (GGQLT) is a traditional Chinese herbal medicine that has been reported to have a significant therapeutic effect in the management of type II diabetes mellitus (T2DM). In this study, we constructed a T2DM rat model by feeding
Externí odkaz:
https://doaj.org/article/cf3b97c85a9e48cab7edb6483b014511
Autor:
Wenjun He, Chunli Liu, Xuanyi Li, Bihua Zhong, Qian Jiang, Ning Lai, Yuanhui Xiong, Weici Feng, Yilin Chen, Dansha Zhou, Defu Li, Wenju Lu, Jurjan Aman, Harm Jan Bogaard, Jian Wang, Yuqin Chen
Publikováno v:
Pulmonary Circulation, Vol 14, Iss 3, Pp n/a-n/a (2024)
Abstract Chronic obstructive pulmonary disease (COPD) is a persistent and progressive disorder characterized by airway or alveolar abnormalities, commonly leading to pulmonary hypertension (PH). This clinical observational study investigates the ther
Externí odkaz:
https://doaj.org/article/2fa2f6a2a77f4a338aafdc8ae50c3ed6
Publikováno v:
Tehnički Vjesnik, Vol 31, Iss 6, Pp 2167-2175 (2024)
The National Collegiate Athletic Association (NCAA) serves as the platform for showcasing the skills of talented basketball players from various colleges. With the historical set provided by NCAA this study proposes a hybrid model which is combining
Externí odkaz:
https://doaj.org/article/097dbd884e904db58330cadccb4b43e7
Autor:
Meidan Kuang, Yilin Chen, Yue Xing, Min Du, Huazhuo Feng, Qifeng Yang, Dongmei Wen, Xuanyi Li, Kai Yang, Ziying Lin, Ning Lai, Qian Jiang, Shiyun Liu, Dansha Zhou, Wei Hong, Xin Fu, Wenju Lu, Tengteng Zhao, Jian Wang, Yuqin Chen
Publikováno v:
Respiratory Research, Vol 24, Iss 1, Pp 1-12 (2023)
Abstract Right heart failure is the leading cause of death in pulmonary hypertension (PH), and echocardiography is a commonly used tool for evaluating the risk hierarchy of PH. However, few studies have explored the dynamic changes in the structural
Externí odkaz:
https://doaj.org/article/e1f1c5dd67df42499ef1aba93f7eb4c7
Publikováno v:
npj Quantum Materials, Vol 8, Iss 1, Pp 1-8 (2023)
Abstract The lattice geometry induced second-order topological corner states in breathing Kagome lattice have attracted enormous research interests, while the realistic breathing Kagome materials identified as second-order topological insulators are
Externí odkaz:
https://doaj.org/article/30a0c722ee094668adbe44a4aef72d1c
Publikováno v:
Frontiers in Microbiology, Vol 14 (2023)
PurposeIn this study, a deep learning model was established based on head MRI to predict a crucial evaluation parameter in the assessment of injuries resulting from human cytomegalovirus infection: the occurrence of glioma-related epilepsy. The relat
Externí odkaz:
https://doaj.org/article/c79e740fea614c6a8c87f85a9e5d2e00
Publikováno v:
Frontiers in Human Neuroscience, Vol 17 (2023)
Obsessive-compulsive disorder (OCD) is a common mental disease, which can exist as a separate disease or become one of the symptoms of other mental diseases. With the development of society, statistically, the incidence rate of obsessive-compulsive d
Externí odkaz:
https://doaj.org/article/a427b439e3564eaca3c37ebbffd0416f
Autor:
Gayathri Nagaraj, Shaveta Vinayak, Ali Raza Khaki, Tianyi Sun, Nicole M Kuderer, David M Aboulafia, Jared D Acoba, Joy Awosika, Ziad Bakouny, Nicole B Balmaceda, Ting Bao, Babar Bashir, Stephanie Berg, Mehmet A Bilen, Poorva Bindal, Sibel Blau, Brianne E Bodin, Hala T Borno, Cecilia Castellano, Horyun Choi, John Deeken, Aakash Desai, Natasha Edwin, Lawrence E Feldman, Daniel B Flora, Christopher R Friese, Matthew D Galsky, Cyndi J Gonzalez, Petros Grivas, Shilpa Gupta, Marcy Haynam, Hannah Heilman, Dawn L Hershman, Clara Hwang, Chinmay Jani, Sachin R Jhawar, Monika Joshi, Virginia Kaklamani, Elizabeth J Klein, Natalie Knox, Vadim S Koshkin, Amit A Kulkarni, Daniel H Kwon, Chris Labaki, Philip E Lammers, Kate I Lathrop, Mark A Lewis, Xuanyi Li, Gilbert de Lima Lopes, Gary H Lyman, Della F Makower, Abdul-Hai Mansoor, Merry-Jennifer Markham, Sandeep H Mashru, Rana R McKay, Ian Messing, Vasil Mico, Rajani Nadkarni, Swathi Namburi, Ryan H Nguyen, Taylor Kristian Nonato, Tracey Lynn O'Connor, Orestis A Panagiotou, Kyu Park, Jaymin M Patel, Kanishka GopikaBimal Patel, Jeffrey Peppercorn, Hyma Polimera, Matthew Puc, Yuan James Rao, Pedram Razavi, Sonya A Reid, Jonathan W Riess, Donna R Rivera, Mark Robson, Suzanne J Rose, Atlantis D Russ, Lidia Schapira, Pankil K Shah, M Kelly Shanahan, Lauren C Shapiro, Melissa Smits, Daniel G Stover, Mitrianna Streckfuss, Lisa Tachiki, Michael A Thompson, Sara M Tolaney, Lisa B Weissmann, Grace Wilson, Michael T Wotman, Elizabeth M Wulff-Burchfield, Sanjay Mishra, Benjamin French, Jeremy L Warner, Maryam B Lustberg, Melissa K Accordino, Dimpy P Shah, On behalf of the COVID-19 and Cancer Consortium
Publikováno v:
eLife, Vol 12 (2023)
Background: Limited information is available for patients with breast cancer (BC) and coronavirus disease 2019 (COVID-19), especially among underrepresented racial/ethnic populations. Methods: This is a COVID-19 and Cancer Consortium (CCC19) registry
Externí odkaz:
https://doaj.org/article/21b528e377ff490f938d7fabb4ca5424
Autor:
Wenying Shan, Lvqi Chen, Hao Xu, Qinghao Zhong, Yinqiu Xu, Hequan Yao, Kejiang Lin, Xuanyi Li
Publikováno v:
Frontiers in Chemistry, Vol 11 (2023)
Identifying compound–protein interaction plays a vital role in drug discovery. Artificial intelligence (AI), especially machine learning (ML) and deep learning (DL) algorithms, are playing increasingly important roles in compound-protein interactio
Externí odkaz:
https://doaj.org/article/a2295691c26a4e3eb7105b20938e72d9