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| 1 | Post-marketing safety surveillance and reevaluation of Motherwort injection:A clinical study of 10094 cases显示文摘OBJECTIVE:To investigate the safety profiles of Motherwort injection(MI).METHODS:A multi-center,prospective and drugderived hospital intensive monitoring method was conducted to assess the safety of MI in real world applications.This study was based on a very large population after the injection was approved and marketed in China.All patients using the injection in participating hospitals were monitored to determine the incidence,pattern,severity and outcome of associated adverse events.RESULTS:The post-marketing surveillance was performed in 10 094 female patients from April to December,2015.The incidence of adverse drug reactions(ADRs) was 0.79‰(8/10 094).Among the 8 patients,the reported adverse events mainly included systemic abnormalities,such as fever,chills and eyelid edema;skin and appendages disorders,such as pruritus and rash;gastrointestinal disorders,such as nausea,abdominal distension and pain;heart rate and rhythm disorders,such as palpitation and increased heart rate.All of these ADRs were mild in severity.CONCLUSION:In this study the ADRs incidence rate of MI is very low,which supports that it is generally safe for use in obstetric and gynecological diseases.However,the total number of 8 ADRs recorded over a relatively short time span seems limited,and the low number of reports could not represent an absolute guarantee of safety. | Cao Shan Zhang Wenhao Zhao Ziwei Heng Mingli Bu Huaien Wang Hongwu Liu Xinghui Wang Zhong Cai Yan Ma Yuyan Cui Shihong Deng Jihong Ding Guifeng Ding Yajuan Dong Linhong Duan Zhentao Fan Ling Fan Yang Fu Fen He Jing Ji Shuying Jin Lin Li Hong Li Hongying Liao Tao Lu Wei Luo Xiucui Lü Zhihui Ma Fengchun Ma Dafeng Shi Tianyun Sun Juying Sun Xiaotong Teng Hong Wang Jinhua Wang Ruihua Wang Ying Wang Zhengling Xi Jie Xu Minjuan Xu Zhihong Yan Qian Yang Cuirong Yang Yimei Yin Jie Yu Jinhua Yuan Wenjun Zhang Guanli Zhang Meihua Zhao Renfeng Zhong Yonghong Zhou Jian | 2018 | Journal of Traditional Chinese Medicine2018，38，4： | 4 |
| 2 | Asymmetricalπback-donation of hetero-dicationic Mo^(4+)-Mo^(6+)pairs for enhanced electrochemical nitrogen reduction显示文摘The breaking of nonpolar N≡N bond of dinitrogen is the biggest dilemma for electrocatalytic nitrogen reduction reaction(NRR)application,driving electron migration between catalysts and N≡N bond(termed“πback-donation”process)is crucial for attenuating interfacial energy barrier but still remains challenging.Herein,using density functional theory calculations,we revealed that constructing a unique hetero-dicationic Mo^(4+)-Mo^(6+)pair could effectively activate N≡N bond with a lying-down chemisorption configuration by an asymmetrical“πback-donation”process.As a proof-of-concept demonstration,we synthesized MoO_(2)@MoO_(3)heterostructure with double Mo sites(Mo^(4+)-Mo^(6+)),which are embedded in graphite,for electrochemical nitrogen reduction.Impressively,this hetero-dicationic Mo^(4+)-Mo^(6+)pair catalysts display more excellent catalytic performance with a high NH_(3)yield(60.9μg·h^(-1)·mg^(-1))and Faradic efficiency(23.8%)as NRR catalysts under ambient conditions than pristine MoO_(2)and MoO_(3).Operando characterizations using synchrotron-based spectroscopic techniques identified the emergence of a key^(*)N_(2)Hy intermediate on Mo sites during NRR,which indicates that the Mo sites are active sites and the NRR process tends to follow an associative mechanism.This novel type of hetero-dicationic catalyst has tremendous potential as a new class of transition metal-based catalysts with promising applications in electrocatalysis and catalysts for energy conversion and storage. | Hao Tan Qianqian Ji Chao Wang Hengli Duan Yuan Kong Yao Wang Sihua Feng Liyang Lv Fengchun Hu Wenhua Zhang Wangsheng Chu Zhihu Sun Wensheng Yan | 2022 | Nano Research2022，15，4： | 2 |
| 3 | China's battery electric vehicles lead the world:achievements in technology system architecture and technological breakthroughs显示文摘Developing new energy vehicles has been a worldwide consensus,and developing new energy vehicles characterized by pure electric drive has been China's national strategy.After more than 20 years of high-quality development of China's electric vehicles(EVs),a technological R&D layout of“Three Verticals and Three Horizontals”has been created,and technological advantages have been accumulated.As a result,China's new energy vehicle market has ranked first in the world since 2015.To systematically solve the key problems of battery electric vehicles(BEVs)such as“driving range anxiety,long battery charging time,and driving safety hazards”,China took the lead in putting forward a“system engineering-based technology system architecture for BEVs”and clarifying its connotation.This paper analyzes the research status and progress of the three core components of this architecture,namely,“BEV platform,charging/swapping station,and real-time operation monitoring platform”,and their key technological points.The three major demonstration projects of the 2008 Beijing Olympic Games,the 2022 Beijing Winter Olympics,and the intelligent and connected autonomous battery electric bus project are discussed to specify the applications of BEVs in China.The key research directions for upgrading BEV technologies remain to be further improving the vehicle-level all-climate environmental adaptability and all-day safety of BEVs,systematically solving the charging problem of BEVs and improving their application convenience,and safeguarding safety with early warning and implementing active/passive safety protection for the whole life cycle of power batteries on the basis of BEVs'operation big data.BEVs have acquired new technological features such as intelligent and networked technology empowerment,extensive integration of control-by-wire systems,a platform of chassis hardware,and modularization of functional software. | Hongwen He Fengchun Sun Zhenpo Wang Cheng Lin Chengning Zhang Rui Xiong Junjun Deng Xiaoqing Zhu Peng Xie Shuo Zhang Zhongbao Wei Wanke Cao Li Zhai | 2022 | Green Energy and Intelligent Transportation2022，1，1： | 2 |
| 4 | Re search of fuzzy logic control strategy for engine start/stop in dual-clutch hybrid electric vehicle显示文摘 | YANG Lianghui tie Hongwen SUN Fengchun | 2010 | Seventh International Con{erence on Fuzzy Systems and Knowledge Discovery2010，6，8： | 1 |
| 5 | Inertia Matching During Dynamic Simulation of Vehicle Drive System on Test Bench显示文摘 | Song Qiang Sun Fengchun Zhang Muqiao | | 0，，： | 1 |
| 6 | Semi-supervised estimation of capacity degradation for lithium ion batteries with electrochemical impedance spectroscopy显示文摘Machine learning-based methods have emerged as a promising solution to accurate battery capacity estimation for battery management systems.However,they are generally developed in a supervised manner which requires a considerable number of input features and corresponding capacities,leading to prohibitive costs and efforts for data collection.In response to this issue,this study proposes a convolutional neural network(CNN)based method to perform end-to-end capacity estimation by taking only raw impedance spectra as input.More importantly,an input reconstruction module is devised to effectively exploit impedance spectra without corresponding capacities in the training process,thereby significantly alleviating the cost of collecting training data.Two large battery degradation datasets encompassing over 4700 impedance spectra are developed to validate the proposed method.The results show that accurate capacity estimation can be achieved when substantial training samples with measured capacities are given.However,the estimation performance of supervised machine learning algorithms sharply deteriorates when fewer samples with measured capacities are available.In this case,the proposed method outperforms supervised benchmarks and can reduce the root mean square error by up to 50.66%.A further validation under different current rates and states of charge confirms the effectiveness of the proposed method.Our method provides a flexible approach to take advantage of unlabelled samples for developing data-driven models and is promising to be generalised to other battery management tasks. | Rui Xiong Jinpeng Tian Weixiang Shen Jiahuan Lu Fengchun Sun | 2023 | Journal of Energy Chemistry2023，，1： | 1 |
| 7 | Adaptive un-scented Kalman filtering for state of chargeestimation of a lithium-ion battery for electric vehicles显示文摘 | Sun Fengchun Hu Xiaosong Zou Yuan | 2011 | Energy2011，36，5： | 1 |
| 8 | Global Contro) Simulation of Eletric Vehicle Based on Finite State Machine Theory显示文摘 | Zou Yuan Sun Fengchun He Hongwen | 2004 | Journal of Beijing Institute of Technology2004，13，7： | 1 |
| 9 | Inertia matching during dynamic simulation of vehicle drive system on test bench显示文摘 | Sun Fengchun | 2004 | Journal Beijing Institude of Technology2004，13，2： | 1 |
| 10 | Ultrahigh-temperature ferromagnetism in MoS_(2) Moirésuperlattice/graphene hybrid heterostructures显示文摘Realizing high-temperature ferromagnetism in two-dimensional(2D)semiconductor nanosheets is significant for their applications in next-generation magnetic and electronic nanodevices.Herein,this goal could be achieved on a MoS_(2) Moirésuperlattice grown on the reduced graphene oxide(RGO)substrate by a hydrothermal approach.The as-synthesized bilayer MoS_(2) superlattice structure with rotating angle(ϕ=13°±1°)of two hexagonal MoS_(2) lattices,possesses outstanding ferromagnetic property and an ultra-high Curie temperature of 990 K.The X-ray absorption near-edge structure and ultraviolet photoelectron spectroscopies combined with density functional theory calculation indicate that the covalent interactions between MoS_(2) Moirésuperlattice and RGO substrate lead to the formation of interfacial Mo-S-C bonds and complete spin polarization of Mo 4d electrons near the Fermi level.This design could be generalized and may open up a possibility for tailoring the magnetism of other 2D materials. | Liang Cai Hengli Duan Qinghua Liu Chao Wang Hao Tan Wei Hu Fengchun Hu Zhihu Sun Wensheng Yan | 2021 | Nano Research2021，14，11： | 1 |
| 11 | Evalu- ation on state of charge estimation of batteries with adaptive extended Kalman filter by experiment ap- proach显示文摘 | Rui Xiong Hongwen He Fengchun Sun | 2013 | IEEE Transactions on Vehicular Tech- nology2013，62，1： | 1 |
| 12 | Analysis of static temperature field of vehicle's solid rubber tire显示文摘 | ZHENG Muqiao CUI Yufu SUN Fengchun | 1998 | Journal of Institute of Technology1998，7，2： | 1 |
| 13 | Estimation of State- of-Charge and State-of-Power Capability of Lithium-ion Bat- tery Considering Varying Health Conditions 显示文摘 | Fengchun Sun RuiXiong Hongwen He | 2014 | Journal of Power Sources2014，259，2014： | 1 |
| 14 | Adaptive unscented Kalman filtering for state of charge estimation of a lithium-ion batteryfor electric vehicles显示文摘 | Sun Fengchun Hu Xiaosong Zou Yuan | 2011 | Energy2011，36，5： | 1 |
| 15 | Inertia matching during dynamic simulation of vehicle drive system on test bench 显示文摘 | SONG Qiang SUN Fengchun | 2004 | JournalBcijing Institude of Technology2004，13，2： | 1 |
| 16 | Analysis of static temperature field of vehicle' s solid rubber tire 显示文摘 | Zheng Muqiao Cui Yufu Sun Fengchun | 1998 | Journal of Institute of Technology1998，7，2： | 1 |
| 17 | Simulation of Restraint System performance upon the Occupant's Response during Impact显示文摘 | Sun Liqing Lin Yi Sun Fengchun | | 0，，2： | 1 |
| 18 | A data-driven multi-scale extended Kalman filtering based parameter and state estimation approach of lithium-ion polymer battery in electric vehicles显示文摘 | Xiong Rui Sun Fengchun Chen Zheng | 2014 | Applied Energy2014，113，： | 1 |
| 19 | The inner synergistic effect of bifunctional ionic liquid extractant for solvent extraction显示文摘 | Xiaoqi Sun Yang Ji Fengchun Hu Bo He Ji Chen Deqian Li | 2010 | Talanta2010，，： | 1 |
| 20 | Effect of electro- mechanical coupling on dynamic performance of crankshaft of ISG HEV 显示文摘 | ZHOU Jiuyan SUN Fengchun HU X S | 2009 | Proceedings of the 9th International Con- ference of Chinese Transportation Professionals2009，358，： | 1 |
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