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| 1 | Coesite inclusions in zircon from gneisses identified by laser Raman microspectrometer in ultra-high pressure zone of Dabie Mountains,China显示文摘The mineral inclusions in zircon from gneisses in ultra-high pressure (UHP) zone of the Dabie Mountains were identified by using a laser Raman microspectrometer. Coesite occurs as inclusions in zircons from all types of gneiss. Other important minerals, such as jadeite, omphacite, aragonite, barite, and anhydrite were also found as inclusion minerals. These discoveries indicate that ( i) gneissic country rocks had metamorphosed at the same time as the enclosed eclogites; and (ii) SO4-2 -bearing fluids were presentin the UHP metamorphic process, which is manifested by occurrence of barite and anhydrite coexisting with coesite. | LIU Jingbo YE Kai CONG Bolin Maruyama Shegnori FAN Hongrui | 2001 | Chinese Science Bulletin2001，46，22： | 22 |
| 2 | 200 nm gate-length GaAs-based MHEMT devices by electron beam lithography显示文摘GaAs-based metamorphic HEMTs (MHEMT) consist of GaAs substrates and InP-based epitaxial structure, and have the advantages of both InP HEMT's excellent performances and GaAs-based HEMT's mature processes. GaAs-based MHEMTs were applied to millimeter-wave low-noise, high-power applications and systems. The current gain cut-off frequency (fT) and the maximum oscillation frequency (fmax) are important performance parameter of GaAs-based MHEMTs, and they are limited by the gate-length mainly. Electron beam lithography is one of the lithography technologies which can be used to realize the deep submicron gate-length. The 200 nm gate-length GaAs-based MHEMTs have been fabricated by electron beam lithography. In order to reduce the parasite gate capacitance and gate resistance, a trilayer resist structure was used to pattern the T-gate resist profile. Excellent DC, high frequency and power performances have been obtained. FT and fmax are 105 GHz, 70 GHz respectively. The research is very helpful to obtain higher performance GaAs-based MHEMTs. | XU JingBo ZHANG HaiYing WANG WenXin LIU Liang LI Ming FU XiaoJun NIU JieBin YE TianChun | 2008 | Chinese Science Bulletin2008，53，22： | 4 |
| 3 | Fluid inclusions in whiteschist in the ultrahigh-pressure metamorphic belt of Dabie Shan,China显示文摘Hualiangting whiteschist in the Dabie Shan ultrahigh-pressure eclogite complex is a specific Mg-Al-rich metamorphic rock. Its protolith was a felsic dyke, which suffered replacement by high-pressure fluids during ec-logite-facies metamorphism. Based on fluid inclusion results in whiteschist, primary high-pressure fluids are CO2-bearing aqueous solutions. Those prove that there exists CO2-H2O fluid during the ultrahigh-pressure metamorphism. Pseu-dosecondary H2O inclusions were trapped during ultra-high-pressure exhumation, whereas secondary H2O inclusions were related to the latest evolutionary stage of the ultrahigh-pressure exhumation. | Hongrui Fan Jingbo Liu Jinghui Guo Kai Ye Bolin Cong | 2002 | Chinese Science Bulletin2002，47，12： | 3 |
| 4 | Smartphone-powered iontophoresis-microneedle array patch for controlled transdermal delivery显示文摘The incidence rate of diabetes has been increasing every year in nearly all nations and regions.The traditional control of diabetes using transdermal insulin delivery by metal needles is generally associated with pain and potential infections.While microneedle arrays(MAs)have emerged as painless delivery techniques,the integration of MA systems with electronic devices to precisely control drug delivery has rarely been realized.In this study,we developed an iontophoresis-microneedle array patch(IMAP)powered by a portable smartphone for the active and controllable transdermal delivery of insulin.The IMAP in situ integrates iontophoresis and charged nanovesicles into one patch,achieving a one-step drug administration strategy of“penetration,diffusion and iontophoresis”.The MA of the IMAP is first pressed on the skin to create microholes and then is retracted,followed by the iontophoresis delivery of insulin-loaded nanovesicles through these microholes in an electrically controlled manner.This method has synergistically and remarkably enhanced controlled insulin delivery.The amount of insulin can be effectively regulated by the IMAP by applying different current intensities.This in vivo study has demonstrated that the IMAP effectively delivers insulin and produces robust hypoglycemic effects in a type-1 diabetic rat model,with more advanced controllability and efficiency than delivery by a pristine microneedle or iontophoresis.The IMAP system shows high potential for diabetes therapy and the capacity to provide active as well as long-term glycemic regulation without medical staff care. | Jingbo Yang Yanjun Li Rui Ye Ying Zheng Xiangling Li Yuzhen Chen Xi Xie Lelun Jiang | 2020 | Microsystems & Nanoengineering2020，6，1： | 3 |
| 5 | Effect of yttrium on the cyclic oxidation behavior of HP40 heat-resistant steel at 1373K显示文摘 | Jingbo Yan Yimin Gao Long Liang Zhaozhong Ye Yefei Li Wei Chen Jianjun Zhang | 2011 | Corrosion Science2011，53，： | 1 |
| 6 | Improvement of antioxidant activity of peptides with molecular weights ranging from 1 to 10<ce:hsp sp='0.25'/>kDa by PEF technology显示文摘 | Jia Wang Ke Wang Songyi Lin Ping Zhao Gregory Jones Hung Trang Jingbo Liu Haiqing Ye | 2012 | International Journal of Biological Macromolecules2012，，3： | 1 |
| 7 | Active inductor shunt peaking in high-speed VCSEL driver design显示文摘An all-transistor active-inductor shunt-peaking structure has been used in a prototype of 8 Gbps highspeed VCSEL driver which is designed for the optical link in ATLAS liquid Argon calorimeter upgrade.The VCSEL driver is fabricated in a commercial 0.25μm Silicon-on-Sapphire(SoS)CMOS process for radiation tolerant purpose.The all-transistor active-inductor shunt-peaking is used to overcome the bandwidth limitation from the CMOS process.The peaking structure has the same peaking efect as the passive one,but takes a small area,does not need linear resistors and can overcome the process variation by adjust the peaking strength via an external control.The design has been taped out,and the prototype has been proven by the preliminary electrical test results and bit error ratio test results.The driver achieves 8 Gbps data rate as simulated with the peaking.We present the all-transistor active-inductor shunt-peaking structure,simulation and test results in this paper. | 梁福田 GONG Datao HOU Suen LIU Chonghan LIU Tiankuan SU Da-Shung TENG Ping-Kun XIANG Annie YE Jingbo 金革 | 2013 | Chinese Physics C2013，37，11： | 1 |
| 8 | Comprehensive characterization of CRC with germline mutations reveals a distinct somatic mutational landscape and elevated cancer risk in the Chinese population显示文摘Objective:Hereditary colorectal cancer(CRC)accounts for approximately 5%–10%of all CRC cases.The full profile of CRC-related germline mutations and the corresponding somatic mutational profile have not been fully determined in the Chinese population.Methods:We performed the first population study investigating the germline mutation status in more than 1,000(n=1,923)Chinese patients with CRC and examined their relationship with the somatic mutational landscape.Germline alterations were examined with a 58-gene next-generation sequencing panel,and somatic alterations were examined with a 605-gene panel.Results:A total of 92 pathogenic(P)mutations were identified in 85 patients,and 81 likely pathogenic(LP)germline mutations were identified in 62 patients,accounting for 7.6%(147/1,923)of all patients.MSH2 and APC was the most mutated gene in the Lynch syndrome and non-Lynch syndrome groups,respectively.Patients with P/LP mutations had a significantly higher ratio of microsatellite instability,highly deficient mismatch repair,family history of CRC,and lower age.The somatic mutational landscape revealed a significantly higher mutational frequency in the P group and a trend toward higher copy number variations in the non-P group.The Lynch syndrome group had a significantly higher mutational frequency and tumor mutational burden than the nonLynch syndrome group.Clustering analysis revealed that the Notch signaling pathway was uniquely clustered in the Lynch syndrome group,and the MAPK and cAMP signaling pathways were uniquely clustered in the non-Lynch syndrome group.Population risk analysis indicated that the overall odds ratio was 11.13(95%CI:8.289–15.44)for the P group and 20.68(95%CI:12.89–33.18)for the LP group.Conclusions:Distinct features were revealed in Chinese patients with CRC with germline mutations.The Notch signaling pathway was uniquely clustered in the Lynch syndrome group,and the MAPK and cAMP signaling pathways were uniquely clustered in the non-Lynch syndrome group.Patients with P/LP germline mutations exhibited higher CRC risk. | Jianfei Yao Yunhuan Zhen Jing Fan Yuan Gong Yumeng Ye Shaohua Guo Hongyi Liu Xiaoyun Li Guosheng Li Pan Yang Xiaohui Wang Danni Liu Tanxiao Huang Huiya Cao Peisu Suo Yuemin Li Jingbo Yu Lele Song | 2022 | Cancer Biology & Medicine2022，19，5： | 1 |
| 9 | On behalf of the ATLAS liquid argon calori- meter group, a serializer ASIC at 5 Gbps for detector front-end electronics readout显示文摘 | Ye Jingbo | 2011 | Journal of Physics : Confer- ence Series2011，，293： | 1 |
| 10 | A serializer ASIC at 5Gbps for detector front-end electronics readout显示文摘 | Ye Jingbo | 2011 | Journal of Physics:Conference Series2011，293，1： | 1 |
| 11 | Panicle-3D: A low-cost 3D-modeling method for rice panicles based on deep learning, shape from silhouette, and supervoxel clustering显示文摘Self-occlusions are common in rice canopy images and strongly influence the calculation accuracies of panicle traits. Such interference can be largely eliminated if panicles are phenotyped at the 3 D level.Research on 3 D panicle phenotyping has been limited. Given that existing 3 D modeling techniques do not focus on specified parts of a target object, an efficient method for panicle modeling of large numbers of rice plants is lacking. This paper presents an automatic and nondestructive method for 3 D panicle modeling. The proposed method integrates shoot rice reconstruction with shape from silhouette, 2 D panicle segmentation with a deep convolutional neural network, and 3 D panicle segmentation with ray tracing and supervoxel clustering. A multiview imaging system was built to acquire image sequences of rice canopies with an efficiency of approximately 4 min per rice plant. The execution time of panicle modeling per rice plant using 90 images was approximately 26 min. The outputs of the algorithm for a single rice plant are a shoot rice model, surface shoot rice model, panicle model, and surface panicle model, all represented by a list of spatial coordinates. The efficiency and performance were evaluated and compared with the classical structure-from-motion algorithm. The results demonstrated that the proposed method is well qualified to recover the 3 D shapes of rice panicles from multiview images and is readily adaptable to rice plants of diverse accessions and growth stages. The proposed algorithm is superior to the structure-from-motion method in terms of texture preservation and computational efficiency. The sample images and implementation of the algorithm are available online. This automatic, cost-efficient, and nondestructive method of 3 D panicle modeling may be applied to high-throughput 3 D phenotyping of large rice populations. | Dan Wu Lejun Yu Junli Ye Ruifang Zhai Lingfeng Duan Lingbo Liu Nai Wu Zedong Geng Jingbo Fu Chenglong Huang Shangbin Chen Qian Liu Wanneng Yang | 2022 | The Crop Journal2022，10，5： | 1 |
| 12 | Deep learning model improves radiologists'performance in detection and classification of breast lesions显示文摘Objective:Computer-aided diagnosis using deep learning algorithms has been initially applied in the field of mammography,but there is no large-scale clinical application.Methods:This study proposed to develop and verify an artificial intelligence model based on mammography.Firstly,mammograms retrospectively collected from six centers were randomized to a training dataset and a validation dataset for establishing the model.Secondly,the model was tested by comparing 12 radiologists’performance with and without it.Finally,prospectively enrolled women with mammograms from six centers were diagnosed by radiologists with the model.The detection and diagnostic capabilities were evaluated using the freeresponse receiver operating characteristic(FROC)curve and ROC curve.Results:The sensitivity of model for detecting lesions after matching was 0.908 for false positive rate of 0.25 in unilateral images.The area under ROC curve(AUC)to distinguish the benign lesions from malignant lesions was0.855[95%confidence interval(95%CI):0.830,0.880].The performance of 12 radiologists with the model was higher than that of radiologists alone(AUC:0.852 vs.0.805,P=0.005).The mean reading time of with the model was shorter than that of reading alone(80.18 s vs.62.28 s,P=0.032).In prospective application,the sensitivity of detection reached 0.887 at false positive rate of 0.25;the AUC of radiologists with the model was 0.983(95%CI:0.978,0.988),with sensitivity,specificity,positive predictive value(PPV),and negative predictive value(NPV)of94.36%,98.07%,87.76%,and 99.09%,respectively.Conclusions:The artificial intelligence model exhibits high accuracy for detecting and diagnosing breast lesions,improves diagnostic accuracy and saves time. | Yingshi Sun Yuhong Qu Dong Wang Yi Li Lin Ye Jingbo Du Bing Xu Baoqing Li Xiaoting Li Kexin Zhang Yanjie Shi Ruijia Sun Yichuan Wang Rong Long Dengbo Chen Haijiao Li Liwei Wang Min Cao | 2021 | Chinese Journal of Cancer Research2021，33，6： | 1 |
| 13 | Using multiple discriminant analysis approach for text segmentation显示文摘 | Zhu Jingbo Ye Na Chang Xinzhi | 2005 | Lecture Notes in Artificial Intelligence2005，3651，： | 1 |
| 14 | Aging phenomena of backsheet materials of photovoltaic systems for future zero-carbon energy and the improvement pathway显示文摘The insulation degradation in polymeric backsheets has been identified as a main cause of catastrophic accidents induced by short circuit or ground faults in photovoltaic module.To ensure quality,the photovoltaic industry is therefore faced with urgent demand in discovering degradation mechanisms.Moreover,the development of environmental-friendly backsheets and the establishment of backsheets recycling specifications are vital to fulfilling the requirements of a future reliable photovoltaic system with improved productivity.In this review,we innovatively summarize the detection methods of insulation deterioration from the viewpoints of spectroscopic,thermal and mechanical approaches.The corresponding ambient conditions in measurement and their accelerating effect on the degradation of photovoltaic backsheets are discussed.Subsequently,emerging novel materials and structures for enhancing insula-tion properties,antiaging performance and optical-electrical energy conversion efficiency of photovoltaic cell are summarized.It offers a comprehensive strategy to design materials with optimal structures in photovoltaic module for a future zero-carbon energy system. | Jia-Wei Zhang Weihang Deng Zifan Ye Sombel Diaham Chatchai Putson Xing Zhou Jingbo Hu Zhonggang Yin Rong Jia | 2023 | Journal of Materials Science & Technology2023，，22： | 0 |
| 15 | Feasibility and physics potential of detecting ^(8)B solar neutrinos at JUNO显示文摘The Jiangmen Underground Neutrino Observatory(JUNO)features a 20 kt multi-purpose underground liquid scintillator sphere as its main detector.Some of JUNO's features make it an excellent location for^8B solar neutrino measurements,such as its low-energy threshold,high energy resolution compared with water Cherenkov detectors,and much larger target mass compared with previous liquid scintillator detectors.In this paper,we present a comprehensive assessment of JUNO's potential for detecting^8B solar neutrinos via the neutrino-electron elastic scattering process.A reduced 2 MeV threshold for the recoil electron energy is found to be achievable,assuming that the intrinsic radioactive background^(238)U and^(232)Th in the liquid scintillator can be controlled to 10^(-17)g/g.With ten years of data acquisition,approximately 60,000 signal and 30,000 background events are expected.This large sample will enable an examination of the distortion of the recoil electron spectrum that is dominated by the neutrino flavor transformation in the dense solar matter,which will shed new light on the inconsistency between the measured electron spectra and the predictions of the standard three-flavor neutrino oscillation framework.IfDelta m^(2)_(21)=4.8times10^(-5);(7.5times10^(-5))eV^(2),JUNO can provide evidence of neutrino oscillation in the Earth at approximately the 3sigma(2sigma)level by measuring the non-zero signal rate variation with respect to the solar zenith angle.Moreover,JUNO can simultaneously measureDelta m^2_(21)using^8B solar neutrinos to a precision of 20% or better,depending on the central value,and to sub-percent precision using reactor antineutrinos.A comparison of these two measurements from the same detector will help understand the current mild inconsistency between the value of Delta m^2_(21)reported by solar neutrino experiments and the KamLAND experiment. | Angel Abusleme Thomas Adam Shakeel Ahmad Sebastiano Aiello Muhammad Akram Nawab Ali Fengpeng An Guangpeng An Qi An Giuseppe Andronico Nikolay Anfimov Vito Antonelli Tatiana Antoshkina Burin Asavapibhop João Pedro Athayde Marcondes de André Didier Auguste Andrej Babic Wander Baldini Andrea Barresi Eric Baussan Marco Bellato Antonio Bergnoli Enrico Bernieri David Biare Thilo Birkenfeld Sylvie Blin David Blum Simon Blyth Anastasia Bolshakova Mathieu Bongrand Clément Bordereau Dominique Breton Augusto Brigatti Riccardo Brugnera Riccardo Bruno Antonio Budano Max Buesken Mario Buscemi Jose Busto Ilya Butorov Anatael Cabrera Hao Cai Xiao Cai Yanke Cai Zhiyan Cai Antonio Cammi Agustin Campeny Chuanya Cao Guofu Cao Jun Cao Rossella Caruso Cédric Cerna Jinfan Chang Yun Chang Pingping Chen Po-An Chen Shaomin Chen Shenjian Chen Xurong Chen Yi-Wen Chen Yixue Chen Yu Chen Zhang Chen Jie Cheng Yaping Cheng Alexander Chepurnov Davide Chiesa Pietro Chimenti Artem Chukanov Anna Chuvashova Gérard Claverie Catia Clementi Barbara Clerbaux Selma Conforti Di Lorenzo Daniele Corti Salvatore Costa Flavio Dal Corso Christophe De La Taille Jiawei Deng Zhi Deng Ziyan Deng Wilfried Depnering Marco Diaz Xuefeng Ding Yayun Ding Bayu Dirgantara Sergey Dmitrievsky Tadeas Dohnal Georgy Donchenko Jianmeng Dong Damien Dornic Evgeny Doroshkevich Marcos Dracos Frédéric Druillole Shuxian Du Stefano Dusini Martin Dvorak Timo Enqvist Heike Enzmann Andrea Fabbri Lukas Fajt Donghua Fan Lei Fan Can Fang Jian Fang Marco Fargetta Anna Fatkina Dmitry Fedoseev Vladko Fekete Li-Cheng Feng Qichun Feng Richard Ford Andrey Formozov Amélie Fournier Haonan Gan Feng Gao Alberto Garfagnini Alexandre Göttel Christoph Genster Marco Giammarchi Agnese Giaz Nunzio Giudice Franco Giuliani Maxim Gonchar Guanghua Gong Hui Gong Oleg Gorchakov Yuri Gornushkin Marco Grassi Christian Grewing Maxim Gromov Vasily Gromov Minghao Gu Xiaofei Gu Yu Gu Mengyun Guan Nunzio Guardone Maria Gul Cong Guo Jingyuan Guo Wanlei Guo Xinheng Guo Yuhang Guo Paul Hackspacher Caren Hagner Ran Han Yang Han Miao He Wei He Tobias Heinz Patrick Hellmuth Yuekun Heng Rafael Herrera Daojin Hong YuenKeung Hor Shaojing Hou Yee Hsiung Bei-Zhen Hu Hang Hu Jianrun Hu Jun Hu Shouyang Hu Tao Hu Zhuojun Hu Chunhao Huang Guihong Huang Hanxiong Huang Qinhua Huang Wenhao Huang Xingtao Huang Yongbo Huang Jiaqi Hui Wenju Huo Cédric Huss Safeer Hussain Antonio Insolia Ara Ioannisian Daniel Ioannisyan Roberto Isocrate Kuo-Lun Jen Xiaolu Ji Xingzhao Ji Huihui Jia Junji Jia Siyu Jian Di Jiang Xiaoshan Jiang Ruyi Jin Xiaoping Jing Cécile Jollet Jari Joutsenvaara Sirichok Jungthawan Leonidas Kalousis Philipp Kampmann Li Kang Michael Karagounis Narine Kazarian Amir Khan Waseem Khan Khanchai Khosonthongkee Patrick Kinz Denis Korablev Konstantin Kouzakov Alexey Krasnoperov Svetlana Krokhaleva Zinovy Krumshteyn Andre Kruth Nikolay Kutovskiy Pasi Kuusiniemi Tobias Lachenmaier Cecilia Landini Sébastien Leblanc Frederic Lefevre Liping Lei Ruiting Lei Rupert Leitner Jason Leung Demin Li Fei Li Fule Li Haitao Li Huiling Li Jiaqi Li Jin Li Kaijie Li Mengzhao Li Nan Li Nan Li Qingjiang Li Ruhui Li Shanfeng Li Shuaijie Li Tao Li Weidong Li Weiguo Li Xiaomei Li Xiaonan Li Xinglong Li Yi Li Yufeng Li Zhibing Li Ziyuan Li Hao Liang Hao Liang Jingjing Liang Jiajun Liao Daniel Liebau Ayut Limphirat Sukit Limpijumnong Guey-Lin Lin Shengxin Lin Tao Lin Jiajie Ling Ivano Lippi Fang Liu Haidong Liu Hongbang Liu Hongjuan Liu Hongtao Liu Hu Liu Hui Liu Jianglai Liu Jinchang Liu Min Liu Qian Liu Qin Liu Runxuan Liu Shuangyu Liu Shubin Liu Shulin Liu Xiaowei Liu Yan Liu Alexey Lokhov Paolo Lombardi Claudio Lombardo Kai Loo Chuan Lu Haoqi Lu Jingbin Lu Junguang Lu Shuxiang Lu Xiaoxu Lu Bayarto Lubsandorzhiev Sultim Lubsandorzhiev Livia Ludhova Fengjiao Luo Guang Luo Pengwei Luo Shu Luo Wuming Luo Vladimir Lyashuk Qiumei Ma Si Ma Xiaoyan Ma Xubo Ma Jihane Maalmi Yury Malyshkin Fabio Mantovani Francesco Manzali Xin Mao Yajun Mao Stefano MMari Filippo Marini Sadia Marium Cristina Martellini Gisele Martin-Chassard Agnese Martini Davit Mayilyan Axel Müller Ints Mednieks Yue Meng Anselmo Meregaglia Emanuela Meroni David Meyhöfer Mauro Mezzetto Jonathan Miller Lino Miramonti Salvatore Monforte Paolo Montini Michele Montuschi Nikolay Morozov Pavithra Muralidharan Massimiliano Nastasi Dmitry VNaumov Elena Naumova Igor Nemchenok Alexey Nikolaev Feipeng Ning Zhe Ning Hiroshi Nunokawa Lothar Oberauer Juan Pedro Ochoa-Ricoux Alexander Olshevskiy Domizia Orestano Fausto Ortica Hsiao-Ru Pan Alessandro Paoloni Nina Parkalian Sergio Parmeggiano Teerapat Payupol Yatian Pei Nicomede Pelliccia Anguo Peng Haiping Peng Frédéric Perrot Pierre-Alexandre Petitjean Fabrizio Petrucci Luis Felipe Piñeres Rico Oliver Pilarczyk Artyom Popov Pascal Poussot Wathan Pratumwan Ezio Previtali Fazhi Qi Ming Qi Sen Qian Xiaohui Qian Hao Qiao Zhonghua Qin Shoukang Qiu Muhammad Rajput Gioacchino Ranucci Neill Raper Alessandra Re Henning Rebber Abdel Rebii Bin Ren Jie Ren Taras Rezinko Barbara Ricci Markus Robens Mathieu Roche Narongkiat Rodphai Aldo Romani Bedřich Roskovec Christian Roth Xiangdong Ruan Xichao Ruan Saroj Rujirawat Arseniy Rybnikov Andrey Sadovsky Paolo Saggese Giuseppe Salamanna Simone Sanfilippo Anut Sangka Nuanwan Sanguansak Utane Sawangwit Julia Sawatzki Fatma Sawy Michaela Schever Jacky Schuler Cédric Schwab Konstantin Schweizer Dmitry Selivanov Alexandr Selyunin Andrea Serafini Giulio Settanta Mariangela Settimo Muhammad Shahzad Vladislav Sharov Gang Shi Jingyan Shi Yongjiu Shi Vitaly Shutov Andrey Sidorenkov FedorŠimkovic Chiara Sirignano Jaruchit Siripak Monica Sisti Maciej Slupecki Mikhail Smirnov Oleg Smirnov Thiago Sogo-Bezerra Julanan Songwadhana Boonrucksar Soonthornthum Albert Sotnikov Ondrej Sramek Warintorn Sreethawong Achim Stahl Luca Stanco Konstantin Stankevich DušanŠtefánik Hans Steiger Jochen Steinmann Tobias Sterr Matthias Raphael Stock Virginia Strati Alexander Studenikin Gongxing Sun Shifeng Sun Xilei Sun Yongjie Sun Yongzhao Sun Narumon Suwonjandee Michal Szelezniak Jian Tang Qiang Tang Quan Tang Xiao Tang Alexander Tietzsch Igor Tkachev Tomas Tmej Konstantin Treskov Andrea Triossi Giancarlo Troni Wladyslaw Trzaska Cristina Tuve Stefan van Waasen Johannes van den Boom Guillaume Vanroyen Nikolaos Vassilopoulos Vadim Vedin Giuseppe Verde Maxim Vialkov Benoit Viaud Cristina Volpe Vit Vorobel Lucia Votano Pablo Walker Caishen Wang Chung-Hsiang Wang En Wang Guoli Wang Jian Wang Jun Wang Kunyu Wang Lu Wang Meifen Wang Meng Wang Ruiguang Wang Siguang Wang Wei Wang Wenshuai Wang Xi Wang Xiangyue Wang Yangfu Wang Yaoguang Wang Yi Wang Yifang Wang Yuanqing Wang Yuman Wang Zhe Wang Zheng Wang Zhimin Wang Zongyi Wang Apimook Watcharangkool Lianghong Wei Wei Wei Yadong Wei Liangjian Wen Christopher Wiebusch Steven Chan-Fai Wong Bjoern Wonsak Diru Wu Fangliang Wu Qun Wu Wenjie Wu Zhi Wu Michael Wurm Jacques Wurtz Christian Wysotzki Yufei Xi Dongmei Xia Yuguang Xie Zhangquan Xie Zhizhong Xing Benda Xu Donglian Xu Fanrong Xu Jilei Xu Jing Xu Meihang Xu Yin Xu Yu Xu Baojun Yan Xiongbo Yan Yupeng Yan Anbo Yang Changgen Yang Huan Yang Jie Yang Lei Yang Xiaoyu Yang Yifan Yang Haifeng Yao Zafar Yasin Jiaxuan Ye Mei Ye Ugur Yegin Frédéric Yermia Peihuai Yi Xiangwei Yin Zhengyun You Boxiang Yu Chiye Yu Chunxu Yu Hongzhao Yu Miao Yu Xianghui Yu Zeyuan Yu Chengzhuo Yuan Ying Yuan Zhenxiong Yuan Ziyi Yuan Baobiao Yue Noman Zafar Andre Zambanini Pan Zeng Shan Zeng Tingxuan Zeng Yuda Zeng Liang Zhan Feiyang Zhang Guoqing Zhang Haiqiong Zhang Honghao Zhang Jiawen Zhang Jie Zhang Jingbo Zhang Peng Zhang Qingmin Zhang Shiqi Zhang Tao Zhang Xiaomei Zhang Xuantong Zhang Yan Zhang Yinhong Zhang Yiyu Zhang Yongpeng Zhang Yuanyuan Zhang Yumei Zhang Zhenyu Zhang Zhijian Zhang Fengyi Zhao Jie Zhao Rong Zhao Shujun Zhao Tianchi Zhao Dongqin Zheng Hua Zheng Minshan Zheng Yangheng Zheng Weirong Zhong Jing Zhou Li Zhou Nan Zhou Shun Zhou Xiang Zhou Jiang Zhu Kejun Zhu Honglin Zhuang Liang Zong Jiaheng Zou | 2021 | Chinese Physics C2021，45，2： | 0 |
| 16 | lontophoresis-driven microneedle patch for the active transdermal delivery of vaccine macromolecules显示文摘COVID-19 has seriously threatened public health,and transdermal vaccination is an effective way to prevent pathogen infection.Microneedles(MNs)can damage the stratum corneum to allow passive diffusion of vaccine macromolecules,but the delivery effciency is low,while iontophoresis can actively promote transdermal delivery but fails to transport vaccine macromolecules due to the barrier of the stratum corneum.Herein,we developed a wearable iontophoresis-driven MN patch and its iontophoresis-driven device for active and effcient transdermal vaccine macromolecule delivery.Polyacrylamide/chitosan hydrogels with good biocompatibility,excellent conductivity,high elasticity,and a large loading capacity were prepared as the key component for vaccine storage and active iontophoresis.The transdermal vaccine delivery strategy of the iontophoresis-driven MN patch is“press and poke,iontophoresis-driven delivery,and immune response”.We demonstrated that the synergistic effect of MN puncture and iontophoresis significantly promoted transdermal vaccine delivery effciency.In vitro experiments showed that the amount of ovalbumin delivered transdermally using the iontophoresis-driven MN patch could be controlled by the iontophoresis current.In vivo immunization studies in BALB/c mice demonstrated that transdermal inoculation of ovalbumin using an iontophoresis-driven MN patch induced an effective immune response that was even stronger than that of traditional intramuscular injection.Moreover,there was little concern about the biosafety of the iontophoresis-driven MN patch.This delivery system has a low cost,is user-friendly,and displays active delivery,showing great potential for vaccine self-administration at home. | Ying Zheng Rui Ye Xia Gong Jingbo Yang Bin Liu Yunsheng Xu Gang Nie Xi Xie Lelun Jiang | 2023 | Microsystems & Nanoengineering2023，9，2： | 0 |
| 17 | Positive/Negative Phototropism:Controllable Molecular Actuators with Different Bending Behavior显示文摘Herein,a series of molecular actuators based on the crystals of(E)-2-(4-fluorostyryl)benzo[d]oxazole(BOAF4),(E)-2-(2,4-difluorostyryl)benzo[d]oxazole(BOAF24),(E)-2-(4-fluorostyryl)benzo[d]thiazole(BTAF4),and(E)-2-(2,4-difluorostyryl)benzo[d]thiazole(BTAF24)showed unique bending behavior under UV irradiation.The one-dimensional(1D)crystals of BOAF4 and BTAF4 bent toward light,whereas those of BOAF24 and BTAF24 bent away from light.Although the chemical structures of these compounds are similar,the authors found that F···H–C interaction played a key role in the different molecular packing in structures crystals,which led to the positive/negative phototropism of the actuators.Moreover,theoretical calculations were carried out to reveal the mechanical properties of the crystals.Taking advantage of these photomechanical properties,the authors achieved the potential application in pushing objects,as well as enriching and removing pollutants.Hence,the molecular actuators with different bending behavior could be fabricated by introducing different number of F atom,which may open a novel gate for crystal engineering. | Haoran Wang Jiapeng Liu Kaiqi Ye Qiyao Li Jianyu Zhang Hao Xing Peifa Wei Jingbo Sun Francesco Ciucci Jacky WYLam Ran Lu Ben Zhong Tang | 2021 | CCS Chemistry2021，3，4： | 0 |
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