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| 1 | Shape Skeletonization via Mathematical Morphology显示文摘Skeleton is an important topological descriptor of an image and is widely used in the fields of image analysis,In this paper,we present an algorithm based on morphological operations for extracting skeleton from a binary image.Since the original image can be partially or completely reconstructed from the skeleton,this algorithm which works in both analogue and digital space is useful in image coding and feature description.A fast algorithm for skeletonizing and reconstructing digital images and the results of the fast algorithm are also given. | CuiYi ZhouNan | 1999 | The Journal of China Universities of Posts and Telecommunications1999，6，1： | 0 |
| 2 | Blob Objects Analysis Using Watershed Transformation显示文摘 | GUIYi ZHOUNan | 2000 | The Journal of China Universities of Posts and Telecommunications2000，7，4： | 0 |
| 3 | Therapeutic cancer vaccines:advancements,challenges,and prospects显示文摘With the development and regulatory approval of immune checkpoint inhibitors and adoptive cell therapies,cancer immunotherapy has undergone a profound transformation over the past decades.Recently,therapeutic cancer vaccines have shown promise by eliciting de novo T cell responses targeting tumor antigens,including tumor-associated antigens and tumor-specific antigens.The objective was to amplify and diversify the intrinsic repertoire of tumor-specific T cells.However,the complete realization of these capabilities remains an ongoing pursuit.Therefore,we provide an overview of the current landscape of cancer vaccines in this review.The range of antigen selection,antigen delivery systems development the strategic nuances underlying effective antigen presentation have pioneered cancer vaccine design.Furthermore,this review addresses the current status of clinical trials and discusses their strategies,focusing on tumor-specific immunogenicity and anti-tumor efficacy assessment.However,current clinical attempts toward developing cancer vaccines have not yielded breakthrough clinical outcomes due to significant challenges,including tumor immune microenvironment suppression,optimal candidate identification,immune response evaluation,and vaccine manufacturing acceleration.Therefore,the field is poised to overcome hurdles and improve patient outcomes in the future by acknowledging these clinical complexities and persistently striving to surmount inherent constraints. | Ting Fan Mingna Zhang Jingxian Yang Zhounan Zhu Wanlu Cao Chunyan Dong | 2024 | Signal Transduction and Targeted Therapy2024，9，1： | 0 |
| 4 | Potassium-promoted single-atom Co-N-C catalyst for direct dehydrogenation of ethylbenzene显示文摘Alkali metals have been widely used as promoters of metal catalysts in various applications,yet the atomic understanding of the promotional mechanism remains elusive.In this work,we for the first time report the significant promotional effect of potassium to the Co-N-C single-atom catalyst for the direct dehydrogenation of ethylbenzene.K cation was introduced by impregnation of Co-N-C with KCl followed by calcination at 600℃,which resulted in the bonding of K to the Co-O moiety of the Co-N-C catalyst as revealed by X-ray absorption spectroscopy in combination with theoretical calculations.The formation of Co-O-K moiety led to the increase of electron density at the O atom due to electron transfer of K to O,and consequently facilitated the heterolytic cleavage of the C-H bond of ethylbenzene across the Co-O moiety.The promotional effect of K was found to be a volcanofunction with the K/Co ratio and became the greatest at the K/Co ratio of 1.36,which resulted in the highest steady-state reaction rate of 9.7 mmolEB·gcat^(−1)·h^(−1)reported thus far.Moreover,the catalyst exhibited excellent stability during 100 h time on stream. | Jiajia Shi Yao Wei Leilei Zhang Dan Zhou Zhounan Yu Shengxin Zhang Xiaofeng Yang Ji Yang Yang Su Zheng Jiang Aiqin Wang | 2023 | Nano Research2023，16，3： | 0 |
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