| 1 | Research progress on silicon/carbon composite anode materials for lithium-ion battery显示文摘Silicon(Si) has been considered as one of the most promising anode material for the next generation lithium-ion batteries(LIBs) with high energy densities, due to its high theoretical capacity, abundant availability and environmental friendliness. However, silicon materials with low intrinsic electric and ionic conductivity suffer from huge volume variation during lithiation/delithiation processes leading to the pulverization of Si and subsequently resulting in severe capacity fading of the electrodes. Coupling of Si with carbon(C) realizes a favorable combination of the two materials properties, such as high lithiation capacity of Si and excellent mechanical and conductive properties of C, making silicon/carbon composite(Si/C) ideal candidates for LIBs anodes. In this review, recent progresses of Si/C materials utilized in LIBs are summarized in terms of structural design principles, material synthesis methods, morphological characteristics and electrochemical performances by highlighting the material structures. The mechanisms behind the performance enhancement are also discussed. Moreover, other factors that affect the performance of Si/C anodes, such as prelithiation, electrolyte additives, and binders, are also discussed. We aim to present a full scope of the Si/C-based anodes, and help understand and design future structures of Si/C anodes in LIBs. | Xiaohui Shen Zhanyuan Tian Ruijuan Fan Le Shao Dapeng Zhang Guolin Cao Liang Kou Yangzhi Bai | 2018 | Journal of Energy Chemistry2018，27，4： | 29 |
| 3 | SUPER Score Contributes to Warning and Management in Early-Stage COVID-19显示文摘Background:Some COVID-19 patients deteriorate to severe cases with relatively higher case-fatality rates,which increases the medical burden.This necessitates identification of patients at risk of severe disease.Early assessment plays a crucial role in identifying patients at risk of severe disease.This study is to assess the effectiveness of SUPER score as a predictor of severe COVID-19 cases.Methods:We consecutively enrolled COVID-19 patients admitted to a comprehensive medical center in Wuhan,China,and recorded clinical characteristics and laboratory indexes.The SUPER score was calculated using pa-rameters including oxygen saturation,urine volume,pulse,emotional state,and respiratory rate.In addition,the area under the receiver operating characteristic curve(AUC),specificity,and sensitivity of the SUPER score for the diagnosis of severe COVID-19 were calculated and compared with the National Early Warning Score 2(NEWS2).Results:The SUPER score at admission,with a threshold of 4,exhibited good predictive performance for early identification of severe COVID-19 cases,yielding an AUC of 0.985(95%confidence interval[CI]0.897-1.000),sensitivity of 1.00(95%CI 0.715-1.000),and specificity of 0.92(95%CI 0.775-0.982),similar to NEWS2(AUC 0.984;95%CI 0.895-1.000,sensitivity 0.91;95%CI 0.587-0.998,specificity 0.97;95%CI 0.858-0.999).Com-pared with patients with a SUPER score<4,patients in the high-risk group exhibited lower lymphocyte counts,interleukin-2,interleukin-4 and higher fibrinogen,C-reactive protein,aspartate aminotransferase,and lactate dehydrogenase levels.Conclusions:In conclusion,the SUPER score demonstrated equivalent accuracy to the NEWS2 score in predicting severe COVID-19.Its application in prognostic assessment therefore offers an effective early warning system for critical management and facilitating efficient allocation of health resources. | Yuan Bian Qi Han Yue Zheng Yu Yao Xinhui Fan Ruijuan Lv Jiaojiao Pang Feng Xu Yuguo Chen | 2023 | Infectious Medicine2023，2，4： | 0 |
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