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| 1 | 3RISPR-P 2.0: An Improved CRISPR-Cas9 Too For Genome Editing in Plants显示文摘 | Hao Liu Yuduan Ding Yanqing Zhou Wenqi Jin Kabin Xie Ling-Ling Chen | 2017 | Molecular Plant2017，10，3： | 32 |
| 2 | Seroprevalence of SARS-CoV-2 infections among children visiting a hospital显示文摘Importance:In this study,we retrospectively investigated the seroprevalence of severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)antibodies within serum samples from children in Beijing,China.These findings provide preliminary guidance regarding population susceptibility to SARS-CoV-2,which will aid in establishing policy toward coronavirus disease 2019(COVID-19)prevention and control.Objective:To understand the seropositivity of anti-SARS-CoV-2 IgM/IgG antibodies among children in Beijing,China,evaluate the susceptibility of children in Beijing to SARS-CoV-2,and provide prima facie evidence to guide SARS-CoV-2 prevention and control.Methods:IgM/IgG antibody kits(colloidal gold)were used to conduct preliminary screening of SARS-CoV-2 IgM/IgG antibodies in serum samples of children who presented to Beijing Children’s Hospital,Capital Medical University,having fever or requiring hospitalization,from March 2020 to August 2020.Statistical analysis of anti-SARS-CoV-2 antibody seropositivity was performed according to the children’s general demographic characteristics,timing of admission to hospital,presence of pneumonia,and viral nucleic acid test results.Results:The study included 19797 children with both IgM and IgG antibody results.Twenty-four children had anti-SARS-CoV-2 IgM-positive results(positive rate of 1.2‰),twelve children had anti-SARS-CoV-2 IgG-positive results(positive rate of 0.6‰).Viral nucleic acid test results were negative for the above-mentioned children with positive antibody findings;during the study,two children exhibited positive viral nucleic acid test results,but their anti-SARS-CoV-2 IgM/IgG antibody results were negative.Anti-SARS-CoV-2 IgM antibody seropositivity was higher in the<1-year-old group than in the≥6-year-old group.The rates of anti-SARS-CoV-2 IgM seropositivity was highest in August from March to August;IgG results did not significantly differ over time.The rates of anti-SARS-CoV-2 IgM or IgG seropositivity among children with and without suspected pneumonia did not significantly differ between groups.Interpretation:During the study period,the rates of anti-SARS-CoV-2 IgM/IgG antibody seropositivity were low among children who presented to Beijing Children’s Hospital,Capital Medical University.The findings suggest that children in Beijing are generally susceptible to SARS-CoV-2 infection;COVID-19 prevention and control measures should be strengthened to prevent disease in children. | Ran Wang Fang Jin Shuhui Cao Hong Yuan Jingchen Qu Jiaqi Zhang Yuxuan Li Xiangpeng Chen Wenqi Song Zhengde Xie | 2020 | Pediatric Investigation2020，4，4： | 2 |
| 3 | Current management of chemotherapy-induced neutropenia in adults:key points and new challenges显示文摘Chemotherapy-induced neutropenia(CIN)is a potentially fatal and common complication in myelosuppressive chemotherapy.The timing and grade of CIN may play prognostic and predictive roles in cancer therapy.CIN is associated with older age,poor functional and nutritional status,the presence of significant comorbidities,the type of cancer,previous chemotherapy cycles,the stage of the disease,specific chemotherapy regimens,and combined therapies.There are many key points and new challenges in the management of CIN in adults including:(1)Genetic risk factors to evaluate the patient’s risk for CIN remain unclear.However,these risk factors urgently need to be identified.(2)Febrile neutropenia(FN)remains one of the most common reasons for oncological emergency.No consensus nomogram for FN risk assessment has been established.(3)Different assessment tools[e.g.,Multinational Association for Supportive Care in Cancer(MASCC),the Clinical Index of Stable Febrile Neutropenia(CISNE)score model,and other tools]have been suggested to help stratify the risk of complications in patients with FN.However,current tools have limitations.The CISNE score model is useful to support decision-making,especially for patients with stable FN.(4)There are still some challenges,including the benefits of granulocyte colony stimulating factor treatment and the optimal antibiotic regimen in emergency management of FN.In view of the current reports,our group discusses the key points,new challenges,and management of CIN. | Committee of Neoplastic Supportive-Care(CONS),China Anti-Cancer Association Committee of Clinical Chemotherapy,China Anti-Cancer Association Yi Ba Yuankai Shi Wenqi Jiang Jifeng Feng Ying Cheng Li Xiao Qingyuan Zhang Wensheng Qiu Binghe Xu Ruihua Xu Bo Shen Zhiguo Luo Xiaodong Xie Jianhua Chang Mengzhao Wang Yufu Li Yuerong Shuang Zuoxing Niu Bo Liu Jun Zhang Li Zhang Herui Yao Conghua Xie Huiqiang Huang Wangjun Liao Gongyan Chen Xiaotian Zhang Hanxiang An Yanhong Deng Ping Gong Jianping Xiong Qinghua Yao Xin An Cheng Chen Yanxia Shi Jialei Wang Xiaohua Wang Zhiqiang Wang Puyuan Xing Sheng Yang Chenfei Zhou | 2020 | Cancer Biology & Medicine2020，17，4： | 2 |
| 4 | Synthesis and crosslinking of hydroxyl-functionalized sulfonated poly(ether ether ketone) copolymer as candidates for proton exchange membranes显示文摘 | Shaoguang Feng Yuming Shang Yaowu Wang Guoshun Liu Xiaofeng Xie Wenqi Dong Jingming Xu V.K. Mathur | 2010 | Journal of Membrane Science2010，，1： | 1 |
| 5 | Undercrossing disturbance control criterion for shield tunnel considering the building existing deformation 显示文摘 | Ge Shiping Xie Dongwu Ding Wenqi | 2011 | Journal of Tongji Uni- versity ( Natural Science)2011，39，11： | 1 |
| 6 | Synthesis and crosslinking of hydroxyl-functionalized sulfonated poly(ether ether ketone) copolymer as candidates for proton exchange membranes显示文摘 | Shaoguang Feng Yuming Shang Yaowu Wang Guoshun Liu Xiaofeng Xie Wenqi Dong Jingming Xu V.K. Mathur | 2010 | Journal of Membrane Science2010，，1： | 1 |
| 7 | Novel modification method to prepare crosslinked sulfonated poly(ether ether ketone)/silica hybrid membranes for fuel cells显示文摘 | Shaoguang Feng Yuming Shang Guoshun Liu Wenqi Dong Xiaofeng Xie Jingming Xu V.K. Mathur | 2010 | Journal of Power Sources2010，，19： | 1 |
| 8 | Separation and recovery of rare earth from waste nickel-metal hydride batteries by phosphate based extraction-precipitation显示文摘A novel type of extraction-precipitation strategy based on phosphate was developed to recover rare earth(RE,i.e.,La,Ce,Nd,and Pr)from waste nickel-metal hydride(NiMH)batteries.This method does not require saponification and organic solvents.The novel phosphates,i.e.,dibenzyl phosphate(DBP),diphenyl phosphate(DPP),triphenyl phosphate(TPP)were studied as extraction-precipitants.DBP has high precipitation efficiencies for RE^(3+),which can reach 97.84%,100%,100%and 99.77%,respectively.In addition,the precipitation efficiencies of Mn^(2+),Co^(2+)and Ni^(2+)are less than 1.75%.DBP-RE has the largest particle size(D10=52.6μm,D50=135.35μm,D90=296.08μm),which is much larger than the precipitations formed by NH_(4)HCO_(3),H_(2)C2O_(4),CaO and MgO.The larger precipitation particle sizes contribute to improving the solid-liquid separation efficiency.With 3 mol/L hydrochloric acid,the stripping efficiency of DBP-RE reaches 98.60%,and the purity of recovered RE is 99.85%.The regenerated DBP can be directly used for the recycling extraction.Therefore,the novel extraction-precipitation strategy is a green and sustainable separation method. | Hailan Zhi Shuainan Ni Xiang Su Wenqi Xie Hepeng Zhang Xiaoqi Sun | 2022 | Journal of Rare Earths2022，40，6： | 0 |
| 9 | Preparation of SiC coated graphite composite powders by nitriding combustion synthesis显示文摘Ceramic-coated graphite powders are considered as effective raw materials to fabricate three-dimensional continuous ceramic skeleton-reinforced graphite matrix composites which can overcome their inherent poor densification and improve their mechanical and antioxidation properties.However,the morphology and thickness regulation of ceramic coatings on graphite particles are still a great challenge.Herein,SiC-coated graphite(graphite@SiC)powders were prepared by nitriding combustion synthesis using Si and graphited mesocarbon microbead(MCMB)as raw powders with polytetrafluoroethylene(PTFE)as a promoter.The effects of the PTFE content and the Si/MCMB molar ratio on the phase composition and coating morphology were investigated.The phase transition and microstructure evolution of a combustion synthesis(CS)process were revealed by a gas-released quenching experiment.When the Si/MCMB molar ratio was 1:3 and the PTFE content was 10 wt%,the thickness of the SiC coating synthesized under 2 MPa N_(2)reached 1.14μm.The corresponding sintered graphite@SiC composite had relative density of 99.2%and flexural strength of 231 MPa,accompanied by a significant improvement in high-temperature antioxidation properties.The as-synthesized graphite@SiC powders with good sinterability and antioxidation properties show great promise for applications in the nuclear industry and other extreme fields. | Biao Zhang Wenqi Xie Huaizhi Lin Zhilei Wei Zhichao Xiao Kai He Zhongqi Shi | 2023 | Journal of Advanced Ceramics2023，12，10： | 0 |
| 10 | Difference Analysis of Secondary Metabolites of Herba Polygoni Chinensis from Guangxi显示文摘[Objectives]The differences in secondary metabolites of Herba Polygoni Chinensis from Guangxi were analyzed,in order to find flavonoids which can antagonize liver injury and provide a basis for the quality evaluation of Herba Polygoni Chinensis.[Methods]UPLC-MS was used to analyze the secondary metabolites of Herba Polygoni Chinensis,and emphasis was placed on flavonoids.[Results]Flavonoids were abundant in the secondary metabolites of Herba Polygoni Chinensis.Quercitrin,catechin gallate,epicatechin gallate,hyperoside and so on were screened as the components with high content and antagonistic effect on liver injury.[Conclusions]Quercitrin was the flavonoid compound with the highest content among the three origins.It is stable and has a good protective effect on liver,which is representative.Quercitrin can be considered as the target component to be used as an important index for quality evaluation of Herba Polygoni Chinensis. | Anda WEI Hua ZHU Fengfeng XIE Miao ZHANG Piaoling HUANG Wenqi YANG | 2021 | Medicinal Plant2021，12，3： | 0 |
| 11 | SIRT2 interacts with DDX24 to promote nasopharyngeal carcinoma growth显示文摘Background:Nasopharyngeal carcinoma(NPC)is one of the most prevalent cancers in Southeast Asia.Sirtuin 2(SIRT2)is a member of the NAD+-dependent deacetylase family and has been shown to play important roles in numerous biological processes.However,Its function in NPC remains uncertain.The primary aim of this study is to clarify the role of SIRT2 in NPC.Methods:In this research,we examined the effect of SIRT2 silencing on NPC cell proliferation and colony formation using vitro NPC cell lines.Co-immunoprecipitation and mass spectrometry was applied to identify SIRT2-interacting proteins in NPC cells.Results:In comparison to nasopharyngeal epithelial NP69 cells,SIRT2 was up-regulated in multiple NPC cell lines,particularly in CNE2 cells.SIRT2 knockdown abrogated CNE2 cell proliferation and colony formation,whereas SIRT2 overexpression promoted HNE1 cell proliferation and colony formation.The SIRT2-interacting proteins were gathered in gene expression and regulation processes including RNA processing and translation.Among the SIRT2-interacting proteins,there were multiple DEAD-box(DDX)family members.Of note,silencing of DDX24 phenocopied the effect of SIRT2 knockdown on NPC growth.Overexpression of DDX24 restored SIRT2-depleted CNE2 cells to proliferative and colony formation.Conclusions:Our study indicates that SIRT2 can interact with DDX24 to enhance NPC growth.The clinical relevance of SIRT2 and DDX24 in NPC warrants further investigation. | HAIYING YUE CHUNHUI WANG HUIJUN ZHU QINGHUA DU JIAN LI XUE OU XIANGDE LI QIULU ZHONG YITING XIE DANJING LUO YIHE LI CHUNXIAO LIANG XUEMEI XU SONGNAN DU WENQI LIU | 2023 | BIOCELL2023，47，11： | 0 |
| 12 | Grain Yield Predict Based on GRA-AdaBoost-SVR Model显示文摘Grain yield security is a basic national policy of China,and changes in grain yield are influenced by a variety of factors,which often have a complex,non-linear relationship with each other.Therefore,this paper proposes a Grey Relational Analysis-Adaptive Boosting-Support Vector Regression(GRA-AdaBoost-SVR)model,which can ensure the prediction accuracy of the model under small sample,improve the generalization ability,and enhance the prediction accuracy.SVR allows mapping to high-dimensional spaces using kernel functions,good for solving nonlinear problems.Grain yield datasets generally have small sample sizes and many features,making SVR a promising application for grain yield datasets.However,the SVR algorithm’s own problems with the selection of parameters and kernel functions make the model less generalizable.Therefore,the Adaptive Boosting(AdaBoost)algorithm can be used.Using the SVR algorithm as a training method for base learners in the AdaBoost algorithm.Effectively address the generalization capability problem in SVR algorithms.In addition,to address the problem of sensitivity to anomalous samples in the AdaBoost algorithm,the GRA method is used to extract influence factors with higher correlation and reduce the number of anomalous samples.Finally,applying the GRA-AdaBoost-SVR model to grain yield forecasting in China.Experiments were conducted to verify the correctness of the model and to compare the effectiveness of several traditional models applied to the grain yield data.The results show that the GRA-AdaBoost-SVR algorithm improves the prediction accuracy,the model is smoother,and confirms that the model possesses better prediction performance and better generalization ability. | Diantao Hu Cong Zhang Wenqi Cao Xintao Lv Songwu Xie | 2021 | Journal on Big Data2021，3，2： | 0 |
| 13 | The application of indocyanine green in guiding prostate cancer treatment显示文摘Objective:Indocyanine green(ICG)with near-infrared fluorescence absorption is approved by the United States Food and Drug Administration for clinical applications in angiography,blood flow evaluation,and liver function assessment.It has strong optical absorption in the near-infrared region,where light can penetrate deepest into biological tissue.We sought to review its value in guiding prostate cancer treatment.Methods:All related literature at PubMed from January 2000 to December 2020 were reviewed.Results:Multiple preclinical studies have demonstrated the usefulness of ICG in identifying prostate cancer by using different engineering techniques.Clinical studies have demonstrated the usefulness of ICG in guiding sentinel node dissection during radical prostatectomy,and possible better preservation of neurovascular bundle by identifying landmark prostatic arteries.New techniques such as adding fluorescein in additional to ICG were tested in a limited number of patients with encouraging result.In addition,the use of the ICG was shown to be safe.Even though there are encouraging results,it does not carry sufficient sensitivity and specificity in replacing extended pelvic lymph node dissection during radical prostatectomy.Conclusion:Multiple preclinical and clinical studies have shown the usefulness of ICG in identifying and guiding treatment for prostate cancer.Larger randomized prospective studies are warranted to further test its usefulness and find new modified approaches. | Donghua Xie Di Gu Ming Lei Cong Cai Wen Zhong Defeng Qi Wenqi Wu Guohua Zeng Yongda Liu | 2023 | Asian Journal of Urology2023，10，1： | 0 |
| 14 | Accelerating hybrid and compact neural networks targeting perception and control domains with coarse-grained dataflow reconfiguration显示文摘Driven by continuous scaling of nanoscale semiconductor technologies,the past years have witnessed the progressive advancement of machine learning techniques and applications.Recently,dedicated machine learning accelerators,especially for neural networks,have attracted the research interests of computer architects and VLSI designers.State-of-the-art accelerators increase performance by deploying a huge amount of processing elements,however still face the issue of degraded resource utilization across hybrid and non-standard algorithmic kernels.In this work,we exploit the properties of important neural network kernels for both perception and control to propose a reconfigurable dataflow processor,which adjusts the patterns of data flowing,functionalities of processing elements and on-chip storages according to network kernels.In contrast to stateof-the-art fine-grained data flowing techniques,the proposed coarse-grained dataflow reconfiguration approach enables extensive sharing of computing and storage resources.Three hybrid networks for MobileNet,deep reinforcement learning and sequence classification are constructed and analyzed with customized instruction sets and toolchain.A test chip has been designed and fabricated under UMC 65 nm CMOS technology,with the measured power consumption of 7.51 mW under 100 MHz frequency on a die size of 1.8×1.8 mm^2. | Zheng Wang Libing Zhou Wenting Xie Weiguang Chen Jinyuan Su Wenxuan Chen Anhua Du Shanliao Li Minglan Liang Yuejin Lin Wei Zhao Yanze Wu Tianfu Sun Wenqi Fang Zhibin Yu | 2020 | Journal of Semiconductors2020，41，2： | 0 |
| 15 | Analysis of the Volatile Components of Polygonum chinense L.Extracted with Different Solvents by GC-MS显示文摘[Objectives]This study was conducted to investigate the volatile components of Polygonum chinense L.[Methods]The volatile components of the methanol extract,ethyl acetate extract,chloroform extract and petroleum ether extract of P.chinense were analyzed and determined by gas chromatography.[Results]The volatile components of the methanol extract from P.chinense were the most,and phenolic acids and ketones accounted for a relatively high proportion,among which pyrogallic acid had the highest content.The ethyl acetate extract contained the second most volatile components,mostly acids and esters,of whichβ-sitosterol had the highest content;the chloroform and petroleum ether extracts had relatively few types of volatile components,most of which were alkanes,and the content ofγ-sitosterol shared by the two was the highest.The common substances of the four extracts were palmitic acid and phytol.[Conclusions]This study provides a theoretical basis for the quality evaluation of P.chinense and a scientific basis for its resource development. | Anda WEI Hua ZHU Fengfeng XIE Miao ZHANG Piaoling HUANG Wenqi YANG | 2021 | Agricultural Biotechnology2021，10，4： | 0 |
| 16 | Advances in the Treatment of Hepatitis with Flavonoids显示文摘Flavonoids are important compounds in natural medicines.They have a wide range of pharmacological activity and have important research value and development prospects.In this article,literature on the treatment of hepatitis with flavonoids is searched,and research reports on the treatment of hepatitis with flavonoids in the past ten years are sorted out,in order to provide a basis for the in-depth research and further development of flavonoids in the treatment of hepatitis. | Anda WEI Hua ZHU Fengfeng XIE Miao ZHANG Piaoling HUANG Wenqi YANG | 2021 | Medicinal Plant2021，12，4： | 0 |
| 17 | Sub-percent precision measurement of neutrino oscillation parameters with JUNO显示文摘JUNO is a multi-purpose neutrino observatory under construction in the south of China.This publication presents new sensitivity estimates for the measurement of the △m_(31)^(2),△m_(21)^(2),sin^(2)θ_(12),and sin^(2)θ_(13) oscillation parameters using reactor antineutrinos,which is one of the primary physics goals of the experiment.The sensitivities are obtained using the best knowledge available to date on the location and overburden of the experimental site,the nuclear reactors in the surrounding area and beyond,the detector response uncertainties,and the reactor antineutrino spectral shape constraints expected from the TAO satellite detector.It is found that the △m_(21)^(2) and sin^(2)θ_(12) oscillation parameters will be determined to 0.5%precision or better in six years of data collection.In the same period,the △m_(31)^(2) parameter will be determined to about 0.2%precision for each mass ordering hypothesis.The new precision represents approximately an order of magnitude improvement over existing constraints for these three parameters. | Angel Abusleme Thomas Adam Shakeel Ahmad Rizwan Ahmed Sebastiano Aiello Muhammad Akram Abid Aleem 安丰鹏 安琪 Giuseppe Andronico Nikolay Anfimov Vito Antonelli Tatiana Antoshkina Burin Asavapibhop João Pedro Athayde Marcondes de André Didier Auguste 白伟东 Nikita Balashov Wander Baldini Andrea Barresi Davide Basilico Eric Baussan Marco Bellato Antonio Bergnoli Thilo Birkenfeld Sylvie Blin David Blum Simon Blyth Anastasia Bolshakova Mathieu Bongrand Clément Bordereau Dominique Breton Augusto Brigatti Riccardo Brugnera Riccardo Bruno Antonio Budano Jose Busto Ilya Butorov Anatael Cabrera Barbara Caccianiga 蔡浩 蔡啸 蔡严克 蔡志岩 Riccardo Callegari Antonio Cammi Agustin Campeny 曹传亚 曹国富 曹俊 Rossella Caruso Cédric Cerna Chi Chan 常劲帆 Yun Chang 陈国明 陈平平 Po-An Chen 陈少敏 Xurong Chen 陈义学 陈羽 陈志源 陈梓康 程捷 程雅苹 Yu Chin Cheng Alexey Chetverikov Davide Chiesa Pietro Chimenti Artem Chukanov Gérard Claverie Catia Clementi Barbara Clerbaux Selma Conforti Di Lorenzo Daniele Corti Flavio Dal Corso Olivia Dalager Christophe De La Taille 邓智 邓子艳 Wilfried Depnering Marco Diaz Xuefeng Ding 丁雅韵 Bayu Dirgantara Sergey Dmitrievsky Tadeas Dohnal Dmitry Dolzhikov Georgy Donchenko 董建蒙 Evgeny Doroshkevich Marcos Dracos Frédéric Druillole 杜然 杜书先 Stefano Dusini Martin Dvorak Timo Enqvist Heike Enzmann Andrea Fabbri Donghua Fan 樊磊 方建 方文兴 Marco Fargetta Dmitry Fedoseev 费政勇 Li-Cheng Feng 冯启春 Richard Ford Amélie Fournier 甘浩男 高峰 Alberto Garfagnini Arsenii Gavrikov Marco Giammarchi Nunzio Giudice Maxim Gonchar 龚光华 宫辉 Yuri Gornushkin Alexandre Göttel Marco Grassi Vasily Gromov 顾旻皓 谷肖飞 古宇 关梦云 管宇铎 Nunzio Guardone 郭聪 郭竞渊 郭万磊 Xinheng Guo 郭宇航 Paul Hackspacher Caren Hagner 韩然 Yang Han 何苗 Wei He Tobias Heinz Patrick Hellmuth 衡月昆 Rafael Herrera 贺远强 侯少静 Yee Hsiung Bei-Zhen Hu 胡航 Jianrun Hu 胡俊 胡守扬 胡涛 胡宇翔 胡焯钧 黄桂鸿 黄翰雄 黄凯旋 黄文昊 Xin Huang 黄性涛 黄永波 惠加琪 霍雷 霍文驹 Cédric Huss Safeer Hussain Ara Ioannisian Roberto Isocrate Beatrice Jelmini Ignacio Jeria 季筱璐 贾慧慧 贾俊基 蹇司玉 蒋荻 蒋炜 江晓山 荆小平 Cécile Jollet Jari Joutsenvaara Leonidas Kalousis Philipp Kampmann 康丽 Rebin Karaparambil Narine Kazarian Amina Khatun Khanchai Khosonthongkee Denis Korablev Konstantin Kouzakov Alexey Krasnoperov Nikolay Kutovskiy Pasi Kuusiniemi Tobias Lachenmaier Cecilia Landini Sébastien Leblanc Victor Lebrin Frederic Lefevre 雷瑞庭 Rupert Leitner Jason Leung Daozheng Li 李德民 李飞 李福乐 李高嵩 Huiling Li 李梦朝 李民 李楠 Nan Li 李清江 李茹慧 李瑞 黎山峰 李涛 李腾 李卫东 李卫国 李笑梅 李小男 李兴隆 李仪 李依宸 李玉峰 Zepeng Li 李兆涵 李志兵 李紫源 李宗海 梁浩 梁昊 廖佳军 Ayut Limphirat Guey-Lin Lin 林盛鑫 林韬 凌家杰 Ivano Lippi 刘芳 刘海东 刘昊天 刘宏邦 刘红娟 刘洪涛 Hui Liu 刘江来 刘金昌 刘敏 刘倩 刘钦 Runxuan Liu 刘树彬 刘术林 刘小伟 刘熙文 Yan Liu Yunzhe Liu Alexey Lokhov Paolo Lombardi Claudio Lombardo Kai Loo 陆川 路浩奇 陆景彬 吕军光 路书祥 Bayarto Lubsandorzhiev Sultim Lubsandorzhiev Livia Ludhova Arslan Lukanov Daibin Luo Fengjiao Luo 罗光 罗舒 罗武鸣 罗晓杰 Vladimir Lyashuk 马帮争 马冰 马秋梅 马斯 马骁妍 马续波 Jihane Maalmi 麦景宇 Yury Malyshkin Roberto Carlos Mandujano Fabio Mantovani Francesco Manzali 冒鑫 冒亚军 Stefano M.Mari Filippo Marini Cristina Martellini Gisele Martin-Chassard Agnese Martini Matthias Mayer Davit Mayilyan Ints Mednieks Artur Meinusch 孟月 Anselmo Meregaglia Emanuela Meroni David Meyhö Mauro Mezzetto Jonathan Miller Lino Miramonti Marta Colomer Molla Paolo Montini Michele Montuschi Axel Müller Massimiliano Nastasi Dmitry V.Naumov Elena Naumova Diana Navas-Nicolas Igor Nemchenok Minh Thuan Nguyen Thi 宁飞鹏 宁哲 Hiroshi Nunokawa Lothar Oberauer Juan Pedro Ochoa-Ricoux Alexander Olshevskiy Domizia Orestano Fausto Ortica Rainer Othegraven Alessandro Paoloni Sergio Parmeggiano 裴亚田 Luca Pelicci Nicomede Pelliccia 彭安国 彭海平 彭宇 彭昭缘 Frédéric Perrot Pierre-Alexandre Petitjean Fabrizio Petrucci Oliver Pilarczyk Luis Felipe Piñeres Artyom Popov Pascal Poussot Ezio Previtali 齐法制 祁鸣 钱森 钱小辉 钱圳 乔浩 秦中华 丘寿康 Gioacchino Ranucci Neill Raper Reem Rasheed Alessandra Re Henning Rebber Abdel Rebii Mariia Redchuk 任斌 任杰 Barbara Ricci Mariam Rifai Mathieu Roche Narongkiat Rodphai Aldo Romani Bedřich Roskovec 阮锡超 Arseniy Rybnikov Andrey Sadovsky Paolo Saggese Simone Sanfilippo Anut Sangka Utane Sawangwit Julia Sawatzki Michaela Schever Cédric Schwab Konstantin Schweizer Alexandr Selyunin Andrea Serafini Giulio Settanta Mariangela Settimo Zhuang Shao Vladislav Sharov Arina Shaydurova 石京燕 史娅楠 Vitaly Shutov Andrey Sidorenkov FedorŠimkovic Chiara Sirignano Jaruchit Siripak Monica Sisti Maciej Slupecki Mikhail Smirnov Oleg Smirnov Thiago Sogo-Bezerra Sergey Sokolov Julanan Songwadhana Boonrucksar Soonthornthum Albert Sotnikov OndřejŠrámek Warintorn Sreethawong Achim Stahl Luca Stanco Konstantin Stankevich DušanŠtefánik Hans Steiger Jochen Steinmann Tobias Sterr Matthias Raphael Stock Virginia Strati Alexander Studenikin 苏俊 孙世峰 孙希磊 孙勇杰 孙永昭 孙正阳 Narumon Suwonjandee Michal Szelezniak 唐健 唐强 唐泉 唐晓 Vidhya Thara Hariharan Eric Theisen Alexander Tietzsch Igor Tkachev Tomas Tmej Marco Danilo Claudio Torri Konstantin Treskov Andrea Triossi Giancarlo Troni Wladyslaw Trzaska Alexandros Tsagkarakis Cristina Tuve Nikita Ushakov Vadim Vedin Giuseppe Verde Maxim Vialkov Benoit Viaud Cornelius Moritz Vollbrecht Cristina Volpe Katharina Von Sturm Vit Vorobel Dmitriy Voronin Lucia Votano Pablo Walker 王彩申 Chung-Hsiang Wang 王恩 王国利 王坚 王俊 汪璐 Meifen Wang 王孟 Meng Wang 王瑞光 王思广 王维 王为 王文帅 王玺 王湘粤 王仰夫 王耀光 王毅 王义 王贻芳 王元清 Yuman Wang 王喆 王铮 王志民 Zongyi Wang Apimook Watcharangkool 魏微 魏巍 韦雯露 魏亚东 温凯乐 温良剑 Christopher Wiebusch 黄振辉 Bjoern Wonsak 吴帝儒 吴群 吴智 Michael Wurm Jacques Wurtz Christian Wysotzki 习宇飞 夏冬梅 Xiang Xiao 谢小川 谢宇广 Zhangquan Xie 辛钊 邢志忠 续本达 徐程 徐东莲 徐繁荣 许杭锟 徐吉磊 徐晶 徐美杭 徐音 闫保军 Taylor Yan Wenqi Yan 严雄波 Yupeng Yan 杨长根 杨成峰 Huan Yang 杨洁 杨雷 杨晓宇 Yifan Yang 姚海峰 叶佳璇 叶梅 叶子平 Frédéric Yermia Na Yin 尤郑昀 俞伯祥 余炽业 喻纯旭 余泓钊 于淼 于向辉 于泽源 于泽众 袁岑溪 袁成卓 袁影 袁振雄 岳保彪 Noman Zafar Vitalii Zavadskyi 曾珊 曾婷轩 曾裕达 占亮 张爱强 张斌 张斌婷 张飞洋 Guoqing Zhang 张宏浩 张家梁 张家文 张杰 Jin Zhang 张景波 张金楠 Mohan Zhang 张鹏 张清民 张石其 张澍 张涛 张晓梅 张鑫 张玄同 Xueyao Zhang 张银鸿 张易于 张永鹏 张宇 张圆圆 张玉美 张振宇 张志坚 Fengyi Zhao 赵洁 赵荣 赵润泽 赵书俊 Dongqin Zheng 郑华 郑阳恒 Weirong Zhong 周静 周莉 周楠 周顺 周彤 周详 朱江 朱景森 朱康甫 朱科军 朱志航 庄博 庄红林 宗亮 邹佳恒 | 2022 | Chinese Physics C2022，46，12： | 0 |
| 18 | Continuous SiC skeleton reinforced highly oriented graphite flake composites with high strength and specific thermal conductivity显示文摘Highly oriented graphite-based composites have attracted great attention because of their high thermal conductivity(TC),but the low mechanical properties caused by the inhomogeneous distribution and discontinuity of reinforcements restrict the wide applications.Herein,continuous SiC ceramic skeleton reinforced highly oriented graphite flake(SiC/GF)composites were successfully prepared by combining vacuum filtration and spark plasma sintering.The effect of SiC concentration on the microstructure,flexural strength,and thermophysical properties of the composites was investigated.The GF grains in the composites exhibited high orientation with a Lotgering factor of>88%when the SiC concentration was≤30 wt%,and the SiC skeleton became continuous with the SiC concentration reaching 20 wt%.The formation of continuous SiC skeleton improved the flexural strength of the composites effectively while keeping the TC in a high level.Especially,the composites with 30 wt%SiC exhibited the flexural strength up to 105 MPa,and the specific TC reaching 0.118 W·m^(2)·K^(−1)·kg-1.The composites with excellent flexural strength and thermophysical properties showed significant promise for thermal management applications. | Xiaoyu ZHANG Wenqi XIE Lan SUN Zhilei WEI Zhejian ZHANG Yuanyuan ZHU Jiabin HU Shenghe WANG Zhongqi SHI | 2022 | Journal of Advanced Ceramics2022，11，3： | 0 |
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