Zobrazeno 1 - 10
of 388
pro vyhledávání: '"Zhihua Cai"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Platinum-based neoadjuvant chemotherapy (NACT) followed by radical hysterectomy has been proposed as an alternative treatment approach for cervical cancer (CC) in stage Ib2-IIb, who had a strong desire to be treated with surgery. Our study a
Externí odkaz:
https://doaj.org/article/147957a06140428d85da69cd090de860
Publikováno v:
Theoretical and Applied Mechanics Letters, Vol 14, Iss 3, Pp 100514- (2024)
Repeated blast impacts on personnel in explosive environments can exacerbate craniocerebral trauma. Most existing studies focus on the injury effects of a single blast, lacking in-depth analysis on the injury effects and cumulative effects of repeate
Externí odkaz:
https://doaj.org/article/aa5aa2e3b18944a690a24d8075482735
Publikováno v:
AIP Advances, Vol 14, Iss 1, Pp 015006-015006-13 (2024)
A new algorithm for bridging the gap between time series and networks is proposed in this short paper called the complementary visibility graph (CVG). The visibility graphs (VGs) method makes it easy to fulfill complex network topology modeling, whic
Externí odkaz:
https://doaj.org/article/badd95b9f6a54fc6b84bdc4967ee6b3d
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-13 (2022)
Abstract Protective equipment in war plays a vital role in the safety of soldiers, the threat to soldiers from brain damage caused by deformation at the back of the helmet cannot be ignored, so research on reduce blunt post-cranial injury has great s
Externí odkaz:
https://doaj.org/article/1431b5b6fd984435b285c4d5c37df198
Publikováno v:
Materials & Design, Vol 224, Iss , Pp 111408- (2022)
Blast traumatic brain injury (BTBI) is the major type of injury, existing helmets are mainly designed to resist bullets and fragments, so it is necessary to study the explosion- proof performance of helmets. In this study, the validated finite elemen
Externí odkaz:
https://doaj.org/article/876626fd1da040109f0cfff8293a7f2e
Publikováno v:
IEEE Access, Vol 9, Pp 55179-55190 (2021)
At present, the research hotspot of small target detection mainly focuses on the methods based on deep learning, and such algorithms still have some problems that need to be solved, such as the foreground-background class imbalance and the poor perfo
Externí odkaz:
https://doaj.org/article/7cecaaa7bdeb4681bc4b188d22e3b0c7
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 3462-3474 (2021)
Band selection (BS) is a foundational problem for the analysis of high-dimensional hyperspectral image (HSI) cubes. Recent developments in the visual attention mechanism allow for specifically modeling the complex relationship among different compone
Externí odkaz:
https://doaj.org/article/45dc9597f9db4e86901da0ffb075f8f3
Autor:
Naiying Zheng, Anan Xu, Xiantao Lin, Zhiwen Mo, Xiaoxue Xie, Zhong Huang, Ying Liang, Zhihua Cai, Jianming Tan, Xunfan Shao
Publikováno v:
International Journal of Hyperthermia, Vol 38, Iss 1, Pp 1304-1312 (2021)
Background Several studies have reported the combination of intracavity or cervical lymph node hyperthermia with chemoradiotherapy (CRT) to improve clinical outcomes in nasopharyngeal carcinoma (NPC), but the combination with whole-body hyperthermia
Externí odkaz:
https://doaj.org/article/f97fa69e24fe4853bd56ce59808303b7
Publikováno v:
CyTA - Journal of Food, Vol 18, Iss 1, Pp 401-408 (2020)
Tomato ketchup was prepared using potato starch (PS)/xanthan gum (XG) combinations as a thickening agent, and its sensory textural properties, viscosity stability, low-field nuclear magnetic resonance (LF-NMR) imaging and rheological properties were
Externí odkaz:
https://doaj.org/article/4c4099fa9bc44101aca8b9e432be0471
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 3892-3902 (2020)
Although the extreme learning machine (ELM) has been successfully applied to hyperspectral image (HSI) classification, the development of the ELM is restricted by insufficient training data. In this article, we propose a novel extreme learning machin
Externí odkaz:
https://doaj.org/article/f74fe40a17de4da0bace39125e2ccf89