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| 1 | Generation of hircine-induced pluripotent stem cells by somatic cell reprogramming显示文摘 | Jiangtao Ren Yongjun Pak Lixiazi He Lei Qian Yijun Gu Hui Li Lingjun Rao Jing Liao Chun Cui Xun Xu Jinqiu Zhou Hakchol Ri Lei Xiao | 2011 | Cell Research2011，21，5： | 10 |
| 2 | Constructing bifunctional Co/MoC@N-C catalyst via an in-situ encapsulation strategy for efficient oxygen electrocatalysis显示文摘The large-scale application of Zn-air battery requires the development of efficient,low-cost,and stable bifunctional electrocatalysts for the oxygen evolution reaction(OER)and oxygen reduction reaction(ORR).Herein,an electrocatalyst of a Co/Mo C-nanoparticles embedded N-doped carbon(Co/Mo C@N-C)was prepared via the in-situ encapsulation of Co_(2)(CO)_(8)and Mo(CO)6 in ZIF-8 using ball-milling,followed by pyrolysis under an Ar atmosphere.When used as a bifunctional electrocatalyst,the as-prepared Co/Mo C@N-C showed an ORR half-wave potential of 0.824 V in an alkaline medium and an overpotential of only 290 m V for the OER at 10 m A cm^(-2),which was 70 m V lower than Ru O_(2).The Co/Mo C@N-C was also evaluated as a cathode in a solid-state Zn-air battery and delivered a higher peak discharge power density and better cycling stability(over 1600 min)than Pt/C-Ru O_(2).Most importantly,our work provides a new strategy to prepare bifunctional catalysts and promotes their applications in the energy conversion field. | Hui Huang Lingjun Kong Ming Liu Jie He Wei Shuang Yunhua Xu Xian-He Bu | 2021 | Journal of Energy Chemistry2021，30，8： | 1 |
| 3 | Controlled synthesis of core-shell Fe_(2)O_(3)@N-C with ultralong cycle life for lithium-ion batteries显示文摘Development of low-cost electrode materials with long cycle life and high volumetric capacity is im-portant for large-scale applications of lithium-ion batteries(LIBs).Here,an electrode made from Fe_(2)O_(3) encapsulated with N-doped carbon(Fe_(2)O_(3)@N-C)via ZIF-8 coating and carbonization process is reported.A cavity was generated between the Fe_(2)O_(3)and N-C material during the carbonization process that is conducive to alleviating the volume expansion of Fe_(2)O_(3).As a result,the Fe_(2)O_(3)@N-C composite exhibits a high specific capacity(1064 mAh/g at 0.1 A/g)and cycle stability(803.6 mAh/g at 1.0 A/g after 1100 cycles)when used as the LIB anode.In addition,the influence of carbonization under air on the LIB per-formance was investigated by controllably changing the crystal phase of Fe_(2)O_(3)and the thickness of the carbon layer.This work provides a new method for the design and fabrication of yolk-shell composite electrodes for LIBs and other applications. | Hui Huang Lingjun Kong Wei Shuang Wei Xu Jie He Xian-He Bu | 2022 | Chinese Chemical Letters2022，33，2： | 1 |
| 4 | Deciphering of advantageous electrocatalytic water oxidation behavior of metal-organic framework in alkaline media显示文摘Carboxylic acid-based metal-organic frameworks(MOFs)are normally passed for the“pre-catalysts”for oxygen evolution reaction(OER)due to the hydroxides constructed in-situ during its alkaline hydrolysis process(AHP)in lye.Whereas,it remains a mystery that they show advantageous activity over prototypical hydroxides when they are directly acted as OER catalysts.Herein,we propose for the first time that the steric hindrance effect of Nafion can induce enhanced catalytic activity of such MOFs.Different from conventional catalysts without AHP,the Nafion with 3D structure weakens the AHP of Co-MOF nanoribbons,thus forming small size and low crystallinity species(cobalt hydroxide)with more active sites.And the existence of Nafion also optimizes its electronic structure,which is confirmed by transmission electron microscopy(TEM),in-situ UV absorption spectra,in-situ Raman spectroscopy and so on.Compared with Co-MOF-K obtained by directly immersing the Co-MOF nanoribbons in 1.0 M KOH,the Co-MOF-NK obtained by AHP of Co-MOF mixed with Nafion shows better catalytic activity.Based on the above inspiration,we realized the low overpotential of 268 mV at 10 mA·cm^(−2) by preparing CoFe-MOF-NK.This work provides a new understanding of the structural reconstruction of MOFs in the field of electrocatalysis. | Ming Liu Lingjun Kong Xuemin Wang Jie He Jijie Zhang Jian Zhu Xian-He Bu | 2021 | Nano Research2021，14，12： | 0 |
| 5 | Progress in Electrolyte Engineering of Aqueous Batteries in a Wide Temperature Range显示文摘Aqueous rechargeable batteries are safe and environmentally friendly and can be made at a low cost;as such,they are attracting attention in the field of energy storage.However,the temperature sensitivity of aqueous batteries hinders their practical application.The solvent water freezes at low temperatures,and there is a reduction in ionic conductivity,whereas it evaporates rapidly at high temperatures,which causes increased side reactions.This review discusses recent progress in improving the performance of aqueous batteries,mainly with respect to electrolyte engineering and the associated strategies employed to achieve such improvements over a wide temperature domain.The review focuses on fi ve electrolyte engineer-ing(aqueous high-concentration electrolytes,organic electrolytes,quasi-solid/solid electrolytes,hybrid electrolytes,and eutectic electrolytes)and investigates the mechanisms involved in reducing the solidifi cation point and boiling point of the electrolyte and enhancing the extreme-temperature electrochemical performance.Finally,the prospect of further improving the wide temperature range performance of aqueous rechargeable batteries is presented. | Lingjun He Chuyuan Lin Peixun Xiong Hui Lin Wenbin Lai Jingran Zhang Fuyu Xiao Liren Xiao Qingrong Qian Qinghua Chen Lingxing Zeng | 2023 | Transactions of Tianjin University2023，29，5： | 0 |
| 6 | Establishment and Evaluation of a Prediction Model of BLR for Severity in Coronavirus Disease 2019显示文摘Background:Coronavirus disease 2019(COVID-19)is an emerging infectious disease and has spread worldwide.Clinical risk factors associated with the severity in COVID-19 patients have not yet been well delineated.The aim of this study was to explore the risk factors related with the progression of severe COVID-19 and establish a prediction model for severity in COVID-19 patients.Methods:We retrospectively recruited patients with confirmed COVID-19 admitted in Enze Hospital,Taizhou Enze Medical Center(Group)and Nanjing Drum Tower Hospital between January 24 and March 12,2020.Take the Taizhou cohort as the training set and the Nanjing cohort as the validation set.Severe case was defined based on the World Health Organization Interim Guidance Report criteria for severe pneumonia.The patients were divided into severe and non-severe groups.Epidemiological,laboratory,clinical,and imaging data were recorded with data collection forms from the electronic medical record.The predictive model of severe COVID-19 was constructed,and the efficacy of the predictive model in predicting the risk of severe COVID-19 was analyzed by the receiver operating characteristic curve(ROC).Results:A total of 402 COVID-19 patients were included in the study,including 98 patients in the training set(Nanjing cohort)and 304 patients in the validation set(Nanjing cohort).There were 54 cases(13.43%)in severe group and 348 cases(86.57%)in nonsevere group.Logistic regression analysis showed that bodymassindex(BMI)and lymphocyte count wereindependent risk factors for severe COVID-19(all P<0.05).Logistic regression equation based on risk factors was established as follows:Logit(BL)=–5.552–5.473L+0.418BMI.The area under the ROC curve(AUC)of the training set and the validation set were 0.928 and 0.848,respectively(allP<0.001).The model was simplified to get a new model(BMI and lymphocyte count ratio,BLR)for predicting severe COVID-19 patients,and the AUC in the training set and validation set were 0.926 and 0.828,respectively(all P<0.001).Conclusions:Higher BMI and lower lymphocyte count are critical factors associated with severity of COVID-19 patients.The simplified BLR model has a good predictive value for the severe COVID-19 patients.Metabolic factors involved in the development of COVID-19 need to be further investigated. | Zebao He Fajuan Rui Hongli Yang Zhengming Ge Rui Huang Lingjun Ying Haihong Zhao Chao Wu Jie Li | 2022 | Infectious Diseases & Immunity2022，2，2： | 0 |
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