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Enhanced performance of ultraviolet organic light-emitting diode by using graphene oxide and MoO3 dual hole injection layer

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Physica Status Solidi (C) Current Topics in Solid State Physics 2017年第1-2期14卷 n/a-n/a页

作者： Liu, Liming You, Fengjiao Zheng, Qinghong Mo, Bingjie Zeng, Baoqing Wang, Honghang Zhang, Xiaowen Wei, Bin School of Physical Electronics University of Electronic Science and Technology of China Chengdu610054 China Guangxi Key Laboratory of Information Materials and School of Materials Science and Engineering Guilin University of Electronic Technology Guilin541004 China Zhongshan Branch of State Key Laboratory of Electronic Thin Films and Integrated Devices University of Electronic Science and Technology of China Zhongshan Institute Zhongshan528402 China Key Laboratory of Advanced Display and System Applications Ministry of Education Shanghai University Shanghai200072 China

A dual hole injection layer (d-HIL) composed of graphene oxide (GO) and transition metal oxide MoO3 is constructed and proven to be effectively promotes the radiance and external quantum efficiency (EQE) of ultraviolet organic light-emitting diode (UV OLED). The device with d-HIL behaves a maximum radiance of 4.7 mW/cm2 at 237.5 mA/cm2 and EQE of 1.36% at 3.75 mA/cm2, which have been enhanced by 27% and 19%, respectively, in comparison with the coun- terpart using conventional MoO3single HIL. The ultraviolet photoelectron spectroscopy elucidates that GO/MoO3 modification to the greatest extent enhances work function. The current-voltage characteristics and impedance spectroscopy of Hole-only devices clarify that GO/MoO3 d-HIL considerably promotes hole injection capacity. Our results indicate that the d-HIL of GO/MoO3 paves a way for constructing efficient UV OLED. © 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim

关键词： Transition metals

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Application of entropy equation in the judgement of flow direction in transient air system

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Hangkong Dongli Xuebao/Journal of Aerospace Power 2017年第10期32卷 2305-2313页

作者： Ding, Shuiting Che, Weiwei Liu, Chuankai Beijing Key Laboratory on Safety of Integrated Aircraft and Propulsion System School of Energy and Power Engineering Beijing University of Aeronautics and Astronautics Beijing100191 China Collaborative Innovation Center for Advanced Aero-Engine Beijing100191 China School of Energy and Power Engineering Beijing University of Aeronautics and Astronautics Beijing100191 China School of Transportation Science and Engineering Beijing University of Aeronautics and Astronautics Beijing100191 China

The entropy equation of the non-equilibrium state was applied to the solution of air system. An expression of the change rate of entropy production in the pipe element and throttle element were derived. And the flow direction of the fluid was judged by the non-negativity of the entropy production. Combined with the think of modular modeling, the fluid network simulation program of the transient air system was established. The Shock tube model and double cavity model were used to verify the algorithm accuracy. The simulation results are in good agreement with the experimental results, which show that the non-equilibrium entropy production can accurately determine the flow direction in the transient air system, overcome the limitation of the total pressure judgment and accelerate the convergence of the air system. © 2017, Editorial Department of Journal of Aerospace Power. All right reserved.

关键词： Entropy

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Synthesis of high dynamic range image based on logarithm intensity mapping function 8th

Synthesis of high dynamic range image based on logarithm int...

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8th International Conference on Image and Graphics, ICIG 2015

作者： Zhang, Shaojun Zhang, Sheng Cheng, Hailong Jiang, Chuan Key Laboratory of Advanced Sensor and Integrated System Tsinghua University Shenzhen China

ISBN: (纸本)9783319219684

Nature light has a dynamic range beyond the modern camera can capture. So lots of commercial software applies techniques to reconstruct high dynamic range (HDR) image from low dynamic range (LDR) images. One of the popular methods is to recover the radiance of scene from LDR stacks [2]. However it needs to know the exact exposure time of LDR images and costs much time to solve the camera response function. These defects make it impossible to be built in hardware or real time systems. In this paper, we propose a new technique to synthesize HDR image based on the intensity mapping function (IMF). We first solve the IMF based on cross-histogram map, and then synthesize the pixel values from LDRs as if they have the same exposure time. We test our technique on several demos and get satisfying results with good visual quality in bright and dark scenes. Besides, because our method costs less time than the ‘software’ method, it is more suitable for further hardware application. © Springer International Publishing Switzerland 2015.

关键词： Pixels

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An adaptive time window method for human activity recognition 28

An adaptive time window method for human activity recognitio...

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2015 28th IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2015

作者： Sheng, Zhang Hailong, Chen Chuan, Jiang Shaojun, Zhang Key Laboratory of Advanced Sensor and Integrated System Tsinghua University Shenzhen China

ISBN: (纸本)9781479958276

This paper studies the problem of human activity recognition. Traditionally, the data collected by the accelerometer is preprocessed with a fixed time window, and features for human activity recognition model are extracted in this framework. However, some human activities are quasi-periodic, which means that classification accuracy can be improved if adaptive time window is adopted instead. As human activities can be divided into periodic and non-periodic class, in order to extract features more accurately for the classification, the adaptive time window is then designed specifically to cope with the two categories. Finally, experiment is conducted to show that the adaptive time window method improves the classification accuracy in the identification of six kinds of activities including sitting, walking, running, etc., compared with previous fixed time window method. © 2015 IEEE.

关键词： Pattern recognition

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Author Correction: Stretchable, dynamic covalent polymers for soft, long-lived bioresorbable electronic stimulators designed to facilitate neuromuscular regeneration

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Nature communications 2021年第1期12卷 415页

作者： Yeon Sik Choi Yuan-Yu Hsueh Jahyun Koo Quansan Yang Raudel Avila Buwei Hu Zhaoqian Xie Geumbee Lee Zheng Ning Claire Liu Yameng Xu Young Joong Lee Weikang Zhao Jun Fang Yujun Deng Seung Min Lee Abraham Vázquez-Guardado Iwona Stepien Ying Yan Joseph W Song Chad Haney Yong Suk Oh Wentai Liu Hong-Joon Yoon Anthony Banks Matthew R MacEwan Guillermo A Ameer Wilson Z Ray Yonggang Huang Tao Xie Colin K Franz Song Li John A Rogers Center for Bio-Integrated Electronics Northwestern University Evanston IL 60208 USA. Querrey Simpson Institute for Biotechnology Northwestern University Evanston IL 60208 USA. Department of Materials Science and Engineering Northwestern University Evanston IL 60208 USA. Department of Bioengineering University of California Los Angeles Los Angeles CA 90095 USA. Division of Plastic and Reconstructive Surgery Department of Surgery National Cheng Kung University Hospital College of Medicine National Cheng Kung University Tainan 70456 Taiwan. International Research Center for Wound Repair and Regeneration National Cheng Kung University Tainan 70456 Taiwan. School of Biomedical Engineering Korea University Seoul 02841 Republic of Korea. Interdisciplinary Program in Precision Public Health Korea University Seoul 02841 Republic of Korea. Department of Mechanical Engineering Northwestern University Evanston IL 60208 USA. Department of Medicine University of California Los Angeles Los Angeles CA 90095 USA. State Key Laboratory of Structural Analysis for Industrial Equipment Dalian University of Technology 116024 Dalian China. Department of Engineering Mechanics Dalian University of Technology 116024 Dalian China. International Research Center for Computational Mechanics Dalian University of Technology 116024 Dalian China. State Key Laboratory of Chemical Engineering College of Chemical and Biological Engineering Zhejiang University 310027 Hangzhou China. Department of Biomedical Engineering Northwestern University Evanston IL 60208 USA. State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong University 200240 Shanghai China. Center for Developmental Therapeutics Chemistry Life Processes Institute Northwestern University Evanston IL 60208 USA. Department of Neurological Surgery Washington University School of Medicine St. Louis MO 63110 USA. Center for Advanced Molecular Imaging Northwestern University Evanston IL

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A Median Filter Based on the Proportion of the Image Variance

A Median Filter Based on the Proportion of the Image Varianc...

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2016 IEEE Information Technology,Networking,Electronic and Automation Control Conference(ITNEC 2016)

作者： Jianhua Pang Sheng Zhang Shaojun Zhang Tsinghua University Department of Electronic Engineering Graduate School at Shenzhen Tsinghua University Advanced Sensor and Integrated System Key Lab.Graduate School at Shenzhen

ISBN: (纸本)9781467391955

Impulse noise can be classified as random valued impulse noise and fixed valued impulse noise. Fixed valued impulse noise is also called as the salt and pepper noise which is easy to remove as it only contains two kinds of noise models-0and 255. For restoring the images contaminated by the random valued impulse noise which is much harder to remove, a new median filter based on the proportion of the variance is proposed in this paper. The algorithm contains two steps to restore the corrupted images. One is the identification of the random valued noisy pixels and the other one is the processing of the noisy points. This paper proposes an effective and easily implemented method based on the proportion of the variance to recognize the noise pixels and uses the standard median filter to remove them. To compare with some existing algorithms for removing the impulse noise in recent years, the algorithm proposed shows better performance.

关键词： median filter variance random valued impulse noise

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Genetic drivers of heterogeneity in type 2 diabetes pathophysiology

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Nature 2024年第8003期627卷 347-357页

作者： Ken Suzuki Konstantinos Hatzikotoulas Lorraine Southam Henry J Taylor Xianyong Yin Kim M Lorenz Ravi Mandla Alicia Huerta-Chagoya Giorgio E M Melloni Stavroula Kanoni Nigel W Rayner Ozvan Bocher Ana Luiza Arruda Kyuto Sonehara Shinichi Namba Simon S K Lee Michael H Preuss Lauren E Petty Philip Schroeder Brett Vanderwerff Mart Kals Fiona Bragg Kuang Lin Xiuqing Guo Weihua Zhang Jie Yao Young Jin Kim Mariaelisa Graff Fumihiko Takeuchi Jana Nano Amel Lamri Masahiro Nakatochi Sanghoon Moon Robert A Scott James P Cook Jung-Jin Lee Ian Pan Daniel Taliun Esteban J Parra Jin-Fang Chai Lawrence F Bielak Yasuharu Tabara Yang Hai Gudmar Thorleifsson Niels Grarup Tamar Sofer Matthias Wuttke Chloé Sarnowski Christian Gieger Darryl Nousome Stella Trompet Soo-Heon Kwak Jirong Long Meng Sun Lin Tong Wei-Min Chen Suraj S Nongmaithem Raymond Noordam Victor J Y Lim Claudia H T Tam Yoonjung Yoonie Joo Chien-Hsiun Chen Laura M Raffield Bram Peter Prins Aude Nicolas Lisa R Yanek Guanjie Chen Jennifer A Brody Edmond Kabagambe Ping An Anny H Xiang Hyeok Sun Choi Brian E Cade Jingyi Tan K Alaine Broadaway Alice Williamson Zoha Kamali Jinrui Cui Manonanthini Thangam Linda S Adair Adebowale Adeyemo Carlos A Aguilar-Salinas Tarunveer S Ahluwalia Sonia S Anand Alain Bertoni Jette Bork-Jensen Ivan Brandslund Thomas A Buchanan Charles F Burant Adam S Butterworth Mickaël Canouil Juliana C N Chan Li-Ching Chang Miao-Li Chee Ji Chen Shyh-Huei Chen Yuan-Tsong Chen Zhengming Chen Lee-Ming Chuang Mary Cushman John Danesh Swapan K Das H Janaka de Silva George Dedoussis Latchezar Dimitrov Ayo P Doumatey Shufa Du Qing Duan Kai-Uwe Eckardt Leslie S Emery Daniel S Evans Michele K Evans Krista Fischer James S Floyd Ian Ford Oscar H Franco Timothy M Frayling Barry I Freedman Pauline Genter Hertzel C Gerstein Vilmantas Giedraitis Clicerio González-Villalpando Maria Elena González-Villalpando Penny Gordon-Larsen Myron Gross Lindsay A Guare Sophie Hackinger Liisa Hakaste Sohee Han Andrew T Hattersley Christian Herder Momoko Horikoshi Annie-Green Howard Willa Centre for Genetics and Genomics Versus Arthritis Centre for Musculoskeletal Research Division of Musculoskeletal and Dermatological Sciences University of Manchester Manchester UK. Department of Diabetes and Metabolic Diseases Graduate School of Medicine University of Tokyo Tokyo Japan. Department of Statistical Genetics Osaka University Graduate School of Medicine Suita Japan. Institute of Translational Genomics Helmholtz Zentrum München German Research Center for Environmental Health Neuherberg Germany. konstantinos.hatzikotoulas@helmholtz-munich.de. Institute of Translational Genomics Helmholtz Zentrum München German Research Center for Environmental Health Neuherberg Germany. Center for Precision Health Research National Human Genome Research Institute National Institutes of Health Bethesda MD USA. British Heart Foundation Cardiovascular Epidemiology Unit Department of Public Health and Primary Care University of Cambridge Cambridge UK. Heart and Lung Research Institute University of Cambridge Cambridge UK. Department of Epidemiology School of Public Health Nanjing Medical University Nanjing China. Department of Biostatistics and Center for Statistical Genetics University of Michigan Ann Arbor MI USA. Corporal Michael J. Crescenz VA Medical Center Philadelphia PA USA. Department of Systems Pharmacology and Translational Therapeutics University of Pennsylvania Perelman School of Medicine Philadelphia PA USA. Department of Genetics University of Pennsylvania Perelman School of Medicine Philadelphia PA USA. Programs in Metabolism and Medical and Population Genetics Broad Institute of Harvard and MIT Cambridge MA USA. Diabetes Unit and Center for Genomic Medicine Massachusetts General Hospital Boston MA USA. TIMI Study Group Division of Cardiovascular Medicine Brigham and Women's Hospital Harvard Medical School Boston MA USA. William Harvey Research Institute Barts and the London School of Medicine and Dentistry Queen Mary University of London L

Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes and molecular mechanisms that are often specific to cell type. Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study data from 2,535,601 individuals (39.7% not of European ancestry), including 428,452 cases of T2D. We identify 1,289 independent association signals at genome-wide significance (P < 5 × 10) that map to 611 loci, of which 145 loci are, to our knowledge, previously unreported. We define eight non-overlapping clusters of T2D signals that are characterized by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type-specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial cells and enteroendocrine cells. We build cluster-specific partitioned polygenic scores in a further 279,552 individuals of diverse ancestry, including 30,288 cases of T2D, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned polygenic scores are associated with coronary artery disease, peripheral artery disease and end-stage diabetic nephropathy across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings show the value of integrating multi-ancestry genome-wide association study data with single-cell epigenomics to disentangle the aetiological heterogeneity that drives the development and progression of T2D. This might offer a route to optimize global access to genetically informed diabetes care.

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Correction to: 2021 Taxonomic update of phylum Negarnaviricota (Riboviria: Orthornavirae), including the large orders Bunyavirales and Mononegavirales

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Archives of virology 2021年第12期166卷 3567-3579页

作者： Jens H Kuhn Scott Adkins Bernard R Agwanda Rim Al Kubrusli Sergey V Alkhovsky Gaya K Amarasinghe Tatjana Avšič-Županc María A Ayllón Justin Bahl Anne Balkema-Buschmann Matthew J Ballinger Christopher F Basler Sina Bavari Martin Beer Nicolas Bejerman Andrew J Bennett Dennis A Bente Éric Bergeron Brian H Bird Carol D Blair Kim R Blasdell Dag-Ragnar Blystad Jamie Bojko Wayne B Borth Steven Bradfute Rachel Breyta Thomas Briese Paul A Brown Judith K Brown Ursula J Buchholz Michael J Buchmeier Alexander Bukreyev Felicity Burt Carmen Büttner Charles H Calisher Mengji Cao Inmaculada Casas Kartik Chandran Rémi N Charrel Qi Cheng Yuya Chiaki Marco Chiapello Il-Ryong Choi Marina Ciuffo J Christopher S Clegg Ian Crozier Elena Dal Bó Juan Carlos de la Torre Xavier de Lamballerie Rik L de Swart Humberto Debat Nolwenn M Dheilly Emiliano Di Cicco Nicholas Di Paola Francesco Di Serio Ralf G Dietzgen Michele Digiaro Olga Dolnik Michael A Drebot J Felix Drexler William G Dundon W Paul Duprex Ralf Dürrwald John M Dye Andrew J Easton Hideki Ebihara Toufic Elbeaino Koray Ergünay Hugh W Ferguson Anthony R Fooks Marco Forgia Pierre B H Formenty Jana Fránová Juliana Freitas-Astúa Jingjing Fu Stephanie Fürl Selma Gago-Zachert George Fú Gāo María Laura García Adolfo García-Sastre Aura R Garrison Thomas Gaskin Jean-Paul J Gonzalez Anthony Griffiths Tony L Goldberg Martin H Groschup Stephan Günther Roy A Hall John Hammond Tong Han Jussi Hepojoki Roger Hewson Jiang Hong Ni Hong Seiji Hongo Masayuki Horie John S Hu Tao Hu Holly R Hughes Florian Hüttner Timothy H Hyndman M Ilyas Risto Jalkanen Dàohóng Jiāng Gilda B Jonson Sandra Junglen Fujio Kadono Karia H Kaukinen Michael Kawate Boris Klempa Jonas Klingström Gary Kobinger Igor Koloniuk Hideki Kondō Eugene V Koonin Mart Krupovic Kenji Kubota Gael Kurath Lies Laenen Amy J Lambert Stanley L Langevin Benhur Lee Elliot J Lefkowitz Eric M Leroy Shaorong Li Longhui Li Jiànróng Lǐ Huazhen Liu Igor S Lukashevich Piet Maes William Marciel de Souza Marco Marklewitz Sergio H Marshall Shin-Yi L Marzano Se Integrated Research Facility at Fort Detrick National Institute of Allergy and Infectious Diseases National Institutes of Health Frederick MD USA. kuhnjens@mail.nih.gov. United States Department of Agriculture Agricultural Research Service US Horticultural Research Laboratory Fort Pierce FL USA. Zoology Department National Museums of Kenya Nairobi Kenya. Jomo Kenyatta University of Agriculture & Technology Nairobi Kenya. Division Phytomedicine Faculty of Life Sciences Humboldt-Universität zu Berlin Berlin Germany. D.I. Ivanovsky Institute of Virology of N.F. Gamaleya National Center on Epidemiology and Microbiology of Ministry of Health of Russian Federation Moscow Russia. Department of Pathology and Immunology Washington University School of Medicine St. Louis MO USA. Faculty of Medicine University of Ljubljana Ljubljana Slovenia. Centro de Biotecnología y Genómica de Plantas Universidad Politécnica de Madrid-Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria Campus de Montegancedo Pozuelo de Alarcón Madrid Spain. Departamento de Biotecnología-Biología Vegetal Escuela Técnica Superior de Ingeniería Agronómica Alimentaria y de Biosistemas Universidad Politécnica de Madrid Madrid Spain. Center for Ecology of Infectious Diseases Department of Infectious Diseases Department of Epidemiology and Biostatistics Insitute of Bioinformatics University of Georgia Athens GA USA. Institute of Novel and Emerging Infectious Diseases Friedrich-Loeffler-Institut Federal Research Institute for Animal Health Greifswald-Insel Riems Germany. Department of Biological Sciences Mississippi State University Mississippi State MS USA. Center for Microbial Pathogenesis Institute for Biomedical Sciences Georgia State University Atlanta GA USA. Edge BioInnovation Consulting and Mgt Frederick MD USA. Institute of Diagnostic Virology Friedrich-Loeffler-Institut Greifswald-Insel Riems Germany. UFyMA INTA-CONICET Cordoba Argentina. Genomics and Bioinformatics D

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Dynamic pressure characteristics analysis for double-cavity model of air system

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Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics 2016年第4期42卷 654-661页

作者： Ding, Shuiting Che, Weiwei Liu, Chuankai Beijing Key Laboratory on Safety of Integrated Aircraft and Propulsion System Beijing100083 China Co-Innovation Center for Advanced Aero-Engine Beijing100083 China School of Jet Propulsion Beijing University of Aeronautics and Astronautics Beijing100083 China School of Transportation Science and Engineering Beijing University of Aeronautics and Astronautics Beijing100083 China

When the engine slam accelerates or suddenly fails, the pressure wave formed by cavity effect and pipe fluid inertia in a short time will have negative impact on some components of air system. On the basis of the simulation program of the modular transient air system, the pressure variation of cavity and different parts of pipe in the double-cavity model is analyzed. The influence law analysis of the size of the key components for pressure wave is mainly considered. Results show that the pressure wave produced in the transient state is closely related to the geometric structure size of the air system. The analysis method of this model can be used as a basis for fast transient research of air system of the integrated engine. © 2016, Editorial Board of JBUAA. All right reserved.

关键词： Engines

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A dynamic niching clustering algorithm based on individual-connectedness and its application to color image segmentation

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Pattern Recognition 2016年 60卷 334-347页

作者： Dongxia Chang Yao Zhao Lian Liu Changwen Zheng Institute of Information Science Beijing jiaotong University Beijing 100044 China School of Computer and Information Technology Beijing Jiaotong University Beijing 100044 China Beijing Key Laboratory of Advanced Information Science and Network Technology Beijing 100044 China National Key Lab of Integrated Information System Technology Institute of Software Chinese Academy of Sciences Beijing 100080 China

In this paper, a dynamic niching clustering algorithm based on individual-connectedness (DNIC) is proposed for unsupervised classification with no prior knowledge. It aims to automatically evolve the optimal number of clusters as well as the cluster centers of the data set based on the proposed adaptive compact k -distance neighborhood algorithm. More specifically, with the adaptive selection of the number of the nearest neighbor and the individual-connectedness algorithm, DNIC often achieves several sets of connecting individuals and each set composes an independent niche. In practice, each set of connecting individuals corresponds to a homogeneous cluster and this ensures the separability of an arbitrary data set theoretically. An application of the DNIC clustering algorithm in color image segmentation is also provided. Experimental results demonstrate that the DNIC clustering algorithm has high performance and flexibility.

关键词： Clustering Genetic algorithms Niching Connected individual k -distance neighborhood Image segmentation

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