|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Silicon lithium-ion battery anode with enhanced performance: Multiple effects of silver nanoparticles显示文摘Silicon has been regarded as one of the most promising next generation lithium-ion battery anode. However, the poor cyclic stability of the Si based anode has severely limited its practical applications, which is even worse with high mass loading density(>1 mg cm^(-2)). A new concept has been developed to enhance the electrochemical performance of the Si nanoparticle anode. Silver nanoparticles are composited with the silicon nanoparticles in a facile way for the first time. It is found that the mechanical properties of the Si electrode have been significantly improved by the incorporation of the silver nanoparticles, leading to enhanced cyclic performance. With the Si/Ag mass ratio of 4:1, the reversible specific discharge capacity is retained as 1156 m A h g^(-1) after 100 cycles at 200 mA g^(-1), which is more than three times higher than that of the bare silicon(318 mA h g^(-1)). The rate performance has been effectively improved as well due to excellent electron conductivity of the silver nanoparticles. | Shanshan Yin Qing Jia Xiuxia Zuo Shuang Xie Kai Fang Yonggao Xia Jinlong Li Bao Qiu Meimei Wang Jianzhen Ban Xiaoyan Wang Yi Zhang Ying Xiao Luyao Zheng Suzhe Liang Zhaoping Liu Cundong Wang Ya-Jun Cheng | 2018 | Journal of Materials Science & Technology2018，34，10： | 4 |
| 2 | Facing small and biased data dilemma in drug discovery with enhanced federated learning approaches显示文摘Artificial intelligence(AI)models usually require large amounts of high-quality training data,which is in striking contrast to the situation of small and biased data faced by current drug discovery pipelines.The concept of federated learning has been proposed to utilize distributed data from different sources without leaking sensitive information of the data.This emerging decentralized machine learning paradigm is expected to dramatically improve the success rate of AI-powered drug discovery.Here,we simulated the federated learning process with different property and activity datasets from different sources,among which overlapping molecules with high or low biases exist in the recorded values.Beyond the benefit of gaining more data,we also demonstrated that federated training has a regularization effect superior to centralized training on the pooled datasets with high biases.Moreover,different network architectures for clients and aggregation algorithms for coordinators have been compared on the performance of federated learning,where personalized federated learning shows promising results.Our work demonstrates the applicability of federated learning in predicting drug-related properties and highlights its promising role in addressing the small and biased data dilemma in drug discovery. | Zhaoping Xiong Ziqiang Cheng Xinyuan Lin Chi Xu Xiaohong Liu Dingyan Wang Xiaomin Luo Yong Zhang Hualiang Jiang Nan Qiao Mingyue Zheng | 2022 | Science China(Life Sciences)2022，65，3： | 1 |
| 3 | Accuracy,image quality and radiation dose comparison of high-pitch spiral and sequential acquisition on 128-slice dual-source CT angiagraphy in children with congenital heart disease 显示文摘 | Pei Nie Ximing Wang Zhaoping Cheng | 2012 | Eur Radio12012，22，10： | 1 |
| 4 | Glucose uptake and distribution across the human skeleton using state-of-the-art total-body PET/CT显示文摘A growing number of studies have demonstrated that the skeleton is an endocrine organ that is involved in glucose metabolism and plays a significant role in human glucose homeostasis.However,there is still a limited understanding of the in vivo glucose uptake and distribution across the human skeleton.To address this issue,we aimed to elucidate the detailed profile of glucose uptake across the skeleton using a total-body positron emission tomography(PET)scanner.A total of 41 healthy participants were recruited.Two of them received a 1-hour dynamic total-body^(18)F-fluorodeoxyglucose(^(18)F-FDG)PET scan,and all of them received a10-minute static total-body^(18)F-FDG PET scan.The net influx rate(K_i)and standardized uptake value normalized by lean body mass(SUL)were calculated as indicators of glucose uptake from the dynamic and static PET data,respectively.The results showed that the vertebrae,hip bone and skull had relatively high Kiand SUL values compared with metabolic organs such as the liver.Both the K_(i) and SUL were higher in the epiphyseal,metaphyseal and cortical regions of long bones.Moreover,trends associated with age and overweight with glucose uptake(SUL_(max)and SUL_(mean))in bones were uncovered.Overall,these results indicate that the skeleton is a site with significant glucose uptake,and skeletal glucose uptake can be affected by age and dysregulated metabolism. | Weizhao Lu Yanhua Duan Kun Li Jianfeng Qiu Zhaoping Cheng | 2023 | Bone Research2023，11，3： | 0 |
| 5 | ^(18)F-FDG PET/MR Imaging for Evaluating of Obstructive Jaundice:Chinese Expert Consensus显示文摘The cause of obstructive jaundice is usually complex which renders its differential diagnosis and lesion localization challenging in clinical practice.Integrated Positron Emission tomography/Magnetic Resonance(PET/MR)offers complementary information from PET and MR in the diagnosis of obstructive jaundice and is becoming widely adopted in clinical setting.While preserving its diagnostic accuracy,it is important to standardize and streamline the clinical scan protocol of PET/MR in evaluating obstructive jaundice.Based on literature review and experience of large number of clinical cases from the author group,this article reports an expert consensus on imaging protocol optimization and case interpretation template standardization. | Lifang PANG Yushen GU Zhi YANG Zhifang WU Wei FAN Xiaohua ZHU Jun ZHAO Changjiu ZHAO Xuemei WANG Yongju GAO Li HUO Yi MO Meiyun WANG Jie LU Lingzhi HU Zheng ZHANG Feng WANG Xuemei DU Yue CHEN Jianjun LIU Zhaoping CHENG Yunlong LOU Shuzhan YAO Rong XU Sijin LI Hongcheng SHI | 2022 | Clinical Cancer Bulletin2022，1，2： | 0 |
| 6 | An atlas of glucose uptake across the entire human body as measured by the total-body PET/CT scanner:a pilot study显示文摘Glucose uptake differs in organs and tissues across the human body.To date,however,there has been no single atlas providing detailed glucose uptake profiles across the entire human body.Therefore,we aimed to generate a detailed profile of glucose uptake across the entire human body using the uEXPLORER positron emission tomography/computed tomography scanner,which offers the opportunity to collect glucose metabolic imaging quickly and simultaneously in all sites of the body.The standardized uptake value normalized by lean body mass(SUL)of 18F-fluorodeoxyglucose was used as a measure of glucose uptake.We developed a fingerprint of glucose uptake reflecting the mean SULs of major organs and parts across the entire human body in 15 healthy-weight and 18 overweight subjects.Using the segmentation of organs and body parts from the atlas,we uncovered the significant impacts of age,sex,and obesity on glucose uptake in organs and parts across the entire body.A difference was recognized between the right and left side of the body.Overall,we generated a total-body glucose uptake atlas that could be used as the reference for the diagnosis and evaluation of disordered states involving dysregulated glucose metabolism. | Weizhao Lu Zhaoping Cheng Xue Xie Kun Li Yanhua Duan Min Li Chao Ma Sijin Liu Jianfeng Qiu | 2022 | Life Metabolism2022，1，2： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员