Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Zhipeng Ding"'
Autor:
Tinghuizi Shang, Yunhui Chen, Zhenning Ding, Weiqi Qin, Shancong Li, Siyi Wei, Zhipeng Ding, Xu Yang, Jiale Qi, Xiaoqing Qin, Dan Lv, Tong Li, Zan Pan, Chuang Zhan, Jian Xiao, Zhenghai Sun, Na Wang, Zengyan Yu, Chengchong Li, Ping Li
Publikováno v:
Frontiers in Psychiatry, Vol 15 (2024)
ObjectivesDepressive symptoms are the most prevalent comorbidity in individuals with obsessive-compulsive disorder (OCD). The objective of this study was to investigate the dynamic characteristics of resting-state neural activities in OCD patients wi
Externí odkaz:
https://doaj.org/article/fefdf18c107740b6a8e75183e1689cc0
Autor:
Yuanhang Zhou, Peilong Song, Wei Su, Pengyu Wei, Ruonan Zhang, Xin Guo, Zhipeng Ding, Hongbing Yao
Publikováno v:
Materials & Design, Vol 243, Iss , Pp 113079- (2024)
Laser Shock Peening (LSP) is an advanced technique for enhancing surface properties, drawing significant interest for its ability to induce beneficial residual stresses in materials. Traditional LSP design processes, reliant on manual parameter selec
Externí odkaz:
https://doaj.org/article/c0b98441ac02434ab08f17ac31f2720c
Autor:
Ziyue Wang, Cuicui Wu, Jinren Liu, Shunxin Hu, Junli Yu, Qiangqiamg Yin, Hongda Tian, Zhipeng Ding, Guiqiang Qi, Li Wang, Liguo Hao
Publikováno v:
Drug Delivery, Vol 30, Iss 1, Pp 28-39 (2023)
AbstractSorafenib (SRF) presents undesirable effects in clinical treatment, due to the lack of targeting, poor water solubility, and obvious side effects. In this study, we constructed a novel nanodrug carrier system for accurate and efficient delive
Externí odkaz:
https://doaj.org/article/5d70968094b2475a8e76863b637545d2
Autor:
Zhenning Ding, Zhipeng Ding, Yunhui Chen, Dan Lv, Tong Li, Tinghuizi Shang, Jidong Ma, Chuang Zhan, Xu Yang, Jian Xiao, Zhenghai Sun, Na Wang, Wenbin Guo, Chengchong Li, Zengyan Yu, Ping Li
Publikováno v:
BMC Psychiatry, Vol 23, Iss 1, Pp 1-9 (2023)
Abstract Background Previous studies discovered the presence of abnormal structures and functions in the brain regions of patients with obsessive-compulsive disorder (OCD). Nevertheless, whether structural changes in brain regions are coupled with al
Externí odkaz:
https://doaj.org/article/a9442c5b72874c6e8d1bb6d7e99e953d
Autor:
Zhipeng Ding, Wei Su, Yinlong Luo, Lipengan Ye, Wenlong Li, Yuanhang Zhou, Bin Tang, Hongbing Yao
Publikováno v:
Materials & Design, Vol 234, Iss , Pp 112331- (2023)
Although the development of graphene broadband terahertz (THz) absorbers is relatively mature, studies focusing on modulating the absorption window remain limited. Existing research has mainly concentrated on achieving absorption window switching via
Externí odkaz:
https://doaj.org/article/90a8bbd59d434835928fe83f205d1830
Publikováno v:
Materials & Design, Vol 233, Iss , Pp 112215- (2023)
Metasurface absorbers have gained increasing attention in the field of electromagnetic (EM) absorption in recent years. The conventional design method often involves designing various structures and comparing absorption bandwidth and intensity to det
Externí odkaz:
https://doaj.org/article/16b3c32c4a3d43b0a67556288953ed19
Publikováno v:
Mathematical Biosciences and Engineering, Vol 20, Iss 3, Pp 5901-5916 (2023)
Nowadays, the convergence of intelligent computing technique and education has been a hot concern for both academia and industry, producing the conception of smart education. It is predictable that automatic planning and scheduling for course content
Externí odkaz:
https://doaj.org/article/0bb20a9261d540e4a0fcf3cfa31bd9c2
Autor:
Wenlong Li, Hongbing Yao, Zhipeng Ding, Yuanhang Zhou, Pengyu Wei, Jiang Yue, Wei Su, Weihua Zhu
Publikováno v:
Materials, Vol 16, Iss 14, p 5096 (2023)
Marine flow-passing components are susceptible to cavitation erosion (CE), and researchers have worked to find ways to reduce its effects. Laser Shock Peening (LSP), a material strengthening method, has been widely used in aerospace and other cutting
Externí odkaz:
https://doaj.org/article/668cfcb63bdd41269e77b43c540fd9dc
Publikováno v:
Fire, Vol 4, Iss 4, p 66 (2021)
Smoke detection is of great significance for fire location and fire behavior analysis in a fire video surveillance system. Smoke image classification methods based on a deep convolution network have achieved high accuracy. However, the combustion of
Externí odkaz:
https://doaj.org/article/b7990541a2f04fafad8f36cbf65b35a6
Publikováno v:
Abdominal Radiology. 48:1268-1279
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea5585196bce8b07a520f303548bd191
https://doi.org/10.1007/s00261-023-03825-0
https://doi.org/10.1007/s00261-023-03825-0