Zobrazeno 1 - 10
of 240
pro vyhledávání: '"Yiwen, Zhao"'
Autor:
Hua Ji, Zheng Tang, Kexin Jiang, Shuang Lyu, Yiwen Zhao, Jiajie Feng, Ruiwu Dai, Hongyin Liang
Publikováno v:
Lipids in Health and Disease, Vol 23, Iss 1, Pp 1-21 (2024)
Abstract Background Acute pancreatitis (AP) has become a significant global health concern, and a high body mass index (BMI) has been identified as a key risk factor exacerbating this condition. Within this context, lipid metabolism assumes a critica
Externí odkaz:
https://doaj.org/article/6b2d27bffabb415c862743f2f91488e5
Autor:
Yiwen, Zhao1,2,3 (AUTHOR), Lubin, Niu4 (AUTHOR), Ruifang, Zhu1,2,3 (AUTHOR), Yan, Cao1 (AUTHOR), Shifan, Han1,2 (AUTHOR) shifan.han@sxmu.edu.cn, Ağagündüz, Duygu (AUTHOR)
Publikováno v:
Journal of Food Biochemistry. 9/21/2024, Vol. 2024, p1-26. 26p.
Publikováno v:
IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol 32, Pp 3104-3115 (2024)
Surface electromyography (sEMG), a human-machine interface for gesture recognition, has shown promising potential for decoding motor intentions, but a variety of nonideal factors restrict its practical application in assistive robots. In this paper,
Externí odkaz:
https://doaj.org/article/8c4726a7e557492384477e76a0de8206
Autor:
Yongjiang Zhou, Jiajie Feng, Qingqing Wang, Yiwen Zhao, Hanyu Ding, Kexin Jiang, Hua Ji, Zheng Tang, Ruiwu Dai
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
ObjectiveThis review aims to provide a quantitative and qualitative bibliometric analysis of literature from 2013 to 2023 on the role of exosomes in PC, with the goal of identifying current trends and predicting future hotspots.MethodsWe retrieved re
Externí odkaz:
https://doaj.org/article/a239806a133e4e57be4ae6e3360ccc2a
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
Deformable registration plays a fundamental and crucial role in scenarios such as surgical navigation and image-assisted analysis. While deformable registration methods based on unsupervised learning have shown remarkable success in predicting displa
Externí odkaz:
https://doaj.org/article/de2c74c8942a46e895657920624fec69
Autor:
Xiaoxue Zhang, Jichen Shao, Caixue Wang, Chao Liu, Han Hao, Xinmeng Li, Yating An, Jinsha He, Weixin Zhao, Yiwen Zhao, Youzhen Kong, Zhanfeng Jia, Shaopo Wan, Yi Yuan, Huiran Zhang, Hailin Zhang, Xiaona Du
Publikováno v:
Cell Reports, Vol 43, Iss 4, Pp 114014- (2024)
Summary: The transmembrane channel-like (TMC) protein family comprises eight members, with TMC1 and TMC2 being extensively studied. This study demonstrates substantial co-expression of TMC7 with the mechanosensitive channel Piezo2 in somatosensory ne
Externí odkaz:
https://doaj.org/article/b52465c7f7294c2c9e9772f03b065690
Autor:
Yuhan Ying, Xin Huang, Guoli Song, Yiwen Zhao, XinGang Zhao, Lin Shi, Ziqi Gao, Andi Li, Tian Gao, Hua Lu, Guoguang Fan
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
In clinical practice and research, the classification and diagnosis of neurological diseases such as Parkinson’s Disease (PD) and Multiple System Atrophy (MSA) have long posed a significant challenge. Currently, deep learning, as a cutting-edge tec
Externí odkaz:
https://doaj.org/article/d7e96c0fb0494fc58ebdae47839e10cf
Autor:
Yating An, Jingyi Hu, Han Hao, Weixin Zhao, Xiaoxue Zhang, Jicheng Shao, Caixue Wang, Xinmeng Li, Chao Liu, Jinsha He, Yiwen Zhao, Hailin Zhang, Xiaona Du
Publikováno v:
Frontiers in Pharmacology, Vol 15 (2024)
Introduction: The transmembrane channel-like (TMC) protein family contains eight members, TMC1–TMC8. Among these members, only TMC1 and TMC2 have been intensively studied. They are expressed in cochlear hair cells and are crucial for auditory sensa
Externí odkaz:
https://doaj.org/article/4b46dc61205b4c78b8f3d0461fa1c5a6
Autor:
Nusrat Jahan, Katarina Blagovic, Steffen Mueller, J Robert Coleman, Yiwen Zhao, Johanna K Kaufmann
Publikováno v:
Journal for ImmunoTherapy of Cancer, Vol 11, Iss Suppl 1 (2023)
Externí odkaz:
https://doaj.org/article/b3523fe6259349259c468a9e14cac932
Publikováno v:
Journal of Isotopes, Vol 36, Iss 1, Pp 43-48 (2023)
Accelerator mass spectrometry (AMS) technology has been widely applied in many fields due to its high precision and sensitivity. In recent years, with the improvement of AMS technology, the performances of accelerator facilities have been greatly imp
Externí odkaz:
https://doaj.org/article/7ca7f076f0a942439c92c25dea8247f6