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IEEE Biomedical Circuits and Systems (BIOCAS)

作者： Shahab Shahdoost Shawn Frost David Guggenmos Jordan Borrell Caleb Dunham Scott Barbay Randolph Nudo Pedram Mohseni Electrical Engineering and Computer Science Dept Case Western Reserve University Cleveland OH USA Rehabilitation Medicine Dept University of Kansas Medical Center Kansas City KS USA University of Kansas Medical Center Kansas City KS US Bioengineering Graduate Program University of Kansas Lawrence KS USA

ISBN: (纸本)9781509029600

This paper reports on a fully miniaturized brain-machine-spinal cord interface (BMSI) for closed-loop cortical control of intraspinal microstimulation (ISMS). The system incorporates two identical 4-channel modules, with each module comprising a neural recording front-end, embedded digital signal processing (DSP) unit, and programmable stimulating back-end. The DSP unit is capable of generating multichannel trigger signals for a wide array of ISMS triggering patterns based upon online discrimination of a programmable number of intracortical neural spikes within a pre-specified time bin via thresholding and time-amplitude windowing. The BMSI system is validated experimentally in a rat model of contusion spinal cord injury (SCI) by converting in real-time multichannel neural spikes recorded from the cerebral cortex into electrical stimuli delivered to the lumbar spinal cord below the level of the injury, resulting in distinct patterns of hindlimb muscle activation in the SCI rat.

关键词： Blanking Digital signal processing Rats Injuries Voltage measurement Spinal cord injury

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Manipulating multiple order parameters via oxygen vacancies: The case of Eu0.5Ba0.5TiO3−δ

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Physical Review B 2017年第11期96卷 115105-115105页

作者： Weiwei Li Qian He Le Wang Huizhong Zeng John Bowlan Langsheng Ling Dmitry A. Yarotski Wenrui Zhang Run Zhao Jiahong Dai Junxing Gu Shipeng Shen Haizhong Guo Li Pi Haiyan Wang Yongqiang Wang Ivan A. Velasco-Davalos Yangjiang Wu Zhijun Hu Bin Chen Run-Wei Li Young Sun Kuijuan Jin Yuheng Zhang Hou-Tong Chen Sheng Ju Andreas Ruediger Daning Shi Albina Y. Borisevich Hao Yang College of Science Nanjing University of Aeronautics and Astronautics Nanjing 211106 China Department of Materials Science and Metallurgy University of Cambridge Cambridge CB3 0FS United Kingdom Materials Science and Technology Division Oak Ridge National Laboratory Oak Ridge Tennessee 37831 USA Beijing National Laboratory for Condensed Matter Physics and Institute of Physics Chinese Academy of Science Beijing 100190 China State Key Laboratory of Electronic Thin Films and Integrated Devices University of Electronic Science and Technology Chengdu 610054 China Center for Integrated Nanotechnologies MS K771 Los Alamos National Laboratory Los Alamos New Mexico 87545 USA High Magnetic Field Laboratory Chinese Academy of Science Hefei 230031 China Materials Science and Engineering Program Department of Electrical and Computer Engineering Texas A&M University College Station Texas 77843-3128 USA College of Physics Optoelectronics and Energy Soochow University Suzhou 215006 China Materials Science and Technology Division Los Alamos National Laboratory Los Alamos New Mexico 87545 USA Institut National de la Recherche Scientifique—Énergie Matériaux et Télécommunication (INRS-EMT) 1650 Boulevard Lionel Boulet Varennes J3 X 1S2 QC Canada Center for Soft Condensed Matter Physics and Interdisciplinary Research Soochow University Suzhou 215006 China Key Laboratory of Magnetic Materials and Devices Ningbo Institute of Materials Technology and Engineering Chinese Academy of Science Ningbo 315201 China

Controlling functionalities, such as magnetism or ferroelectricity, by means of oxygen vacancies (VO) is a key issue for the future development of transition-metal oxides. Progress in this field is currently addressed through VO variations and their impact on mainly one order parameter. Here we reveal a mechanism for tuning both magnetism and ferroelectricity simultaneously by using VO. Combining experimental and density-functional theory studies of Eu0.5Ba0.5TiO3−δ, we demonstrate that oxygen vacancies create Ti3+3d1 defect states, mediating the ferromagnetic coupling between the localized Eu 4f7 spins, and increase an off-center displacement of Ti ions, enhancing the ferroelectric Curie temperature. The dual function of Ti sites also promises a magnetoelectric coupling in the Eu0.5Ba0.5TiO3−δ.

关键词： Ferroelectricity Magnetoelectric effect Vacancies Multiferroics Oxides Thin films Transition metals Magnetization measurements Optical second-harmonic generation

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Biosensors: Plasmonic Sensing of Oncoproteins without Resonance Shift Using 3D Periodic Nanocavity in Nanocup Arrays (Advanced Optical Materials 11/2017)

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Advanced Optical Materials 2017年第11期5卷

作者： Abid Ameen Lisa P. Hackett Sujin Seo Faiza Khawar Dar Manas R. Gartia Lynford L. Goddard Gang Logan Liu Department of Materials Science and Engineering Micro and Nanotechnology Laboratory University of Illinois at Urbana-Champaign Urbana IL 61801 USA Department of Electrical and Computer Engineering Micro and Nanotechnology Laboratory University of Illinois at Urbana-Champaign Urbana IL 61801 USA Department of Bioengineering University of Illinois at Urbana-Champaign Urbana IL 61801 USA Department of Mechanical and Industrial Engineering Louisiana State University Baton Rouge LA 70803 USA School of Life Science and Technology Huazhong University of Science and Technology Wuhan Hubei 430074 China

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Surface plasmon polaritons at lossy metamaterial-air interfaces

Surface plasmon polaritons at lossy metamaterial-air interfa...

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Signal Processing in Photonic Communications, SPPCom 2016

作者： Sang-Nourpour, Nafiseh Lavoie, Benjamin Kheradmand, R. Sanders, Barry Institute for Quantum Science and Technology University of Calgary Alberta Canada Photonics group Research Institute for Applied Physics and Astronomy University of Tabriz Iran Photonics group Aras International Campus University of Tabriz Iran Department of Electrical and Computer Engineering University of Calgary Alberta Canada Hefei National Laboratory for Physical Sciences at the Microscale University of Science and Technology of China Hefei Anhui China Shanghai Branch CAS Center for Excellence Synergetic Innovation Center in Quantum Information and Quantum Physics University of Science and Technology of China Shanghai China Program in Quantum Information Science Canadian Institute for Advanced Research TorontoON Canada

We derive rigorous criteria for the existence of surface-plasmon polaritons (SPPs) at lossy interfaces by considering properties of SPPs and employing the requirement of causality. These criteria impose limits on susc... 详细信息

ISBN: (纸本)9781943580149

关键词： Photons

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Self-assembly of colloidal particles in deformation landscapes of electrically driven layer undulations in cholesteric liquid crystals

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Physical Review E 2016年第4期94卷 042709-042709页

作者： Michael C. M. Varney Qiaoxuan Zhang Bohdan Senyuk Ivan I. Smalyukh Department of Physics and Soft Materials Research Center University of Colorado at Boulder Boulder Colorado 80309 USA Materials Science and Engineering Program University of Colorado at Boulder Boulder Colorado 80309 USA Department of Electrical Computer and Energy Engineering University of Colorado at Boulder Boulder Colorado 80309 USA Renewable and Sustainable Energy Institute National Renewable Energy Laboratory and University of Colorado at Boulder Boulder Colorado 80309 USA

We study elastic interactions between colloidal particles and deformation landscapes of undulations in a cholesteric liquid crystal under an electric field applied normal to cholesteric layers. The onset of undulation instability is influenced by the presence of colloidal inclusions and, in turn, layers’ undulations mediate the spatial patterning of particle locations. We find that the bending of cholesteric layers around a colloidal particle surface prompts the local nucleation of an undulations lattice at electric fields below the well-defined threshold known for liquid crystals without inclusions, and that the onset of the resulting lattice is locally influenced, both dimensionally and orientationally, by the initial arrangements of colloids defined using laser tweezers. Spherical particles tend to spatially localize in the regions of strong distortions of the cholesteric layers, while colloidal nanowires exhibit an additional preference for multistable alignment offset along various vectors of the undulations lattice. Magnetic rotation of superparamagnetic colloidal particles couples with the locally distorted helical axis and undulating cholesteric layers in a manner that allows for a controlled three-dimensional translation of these particles. These interaction modes lend insight into the physics of liquid crystal structure-colloid elastic interactions, as well as point the way towards guided self-assembly of reconfigurable colloidal composites with potential applications in diffraction optics and photonics.

关键词： Distortions & defects Elastic forces Electric field alignment Electric field effects Magnetic field alignment Pattern formation Patterning Self-assembly

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Manipulating Multiple order parameters via oxygen vacancies: The case of Eu0.5Ba0.5TiO3-δ

arXiv

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arXiv 2017年

作者： Li, Weiwei He, Qian Wang, Le Zeng, Huizhong Bowlan, John Ling, Langsheng Yarotski, Dmitry A. Zhang, Wenrui Zhao, Run Dai, Jiahong Gu, Junxing Shen, Shipeng Guo, Haizhong Pi, Li Wang, Haiyan Wang, Yongqiang Velasco-Davalos, Ivan A. Wu, Yangjiang Hu, Zhijun Chen, Bin Li, Run-Wei Sun, Young Jin, Kuijuan Zhang, Yuheng Chen, Hou-Tong Ju, Sheng Ruediger, Andreas Shi, Daning Borisevich, Albina Y. Yang, Hao College of Science Nanjing University of Aeronautics and Astronautics Nanjing211106 China Department of Materials Science and Metallurgy University of Cambridge CambridgeCB3 0FS United Kingdom Materials Science and Technology Division Oak Ridge National Laboratory Oak RidgeTN37831 United States Beijing National Laboratory for Condensed Matter Physics Institute of Physics Chinese Academy of Science Beijing100190 China State Key Laboratory of Electronic Thin Films and Integrated Devices University of Electronic Science and Technology Chengdu610054 China Center for Integrated Nanotechnologies MS K771 Los Alamos National Laboratory Los AlamosNM87545 United States High Magnetic Field Laboratory Chinese Academy of Science Hefei230031 China Materials Science and Engineering Program Department of Electrical and Computer Engineering Texas A&M University College StationTX77843-3128 United States College of Physics Optoelectronics and Energy Soochow University Suzhou215006 China Materials Science and Technology Division Los Alamos National Laboratory Los AlamosNM87545 United States 1650 Boul. Lionel Boulet VarennesQCJ3X 1S2 Canada Center for Soft Condensed Matter Physics and Interdisciplinary Research Soochow University Suzhou215006 China Key Laboratory of Magnetic Materials and Devices Ningbo Institute of Materials Technology and Engineering Chinese Academy of Science Ningbo315201 China

Controlling functionalities, such as magnetism or ferroelectricity, by means of oxygen vacancies (VO) is a key issue for the future development of transition metal oxides. Progress in this field is currently addressed through VO variations and their impact on mainly one order parameter. Here we reveal a new mechanism for tuning both magnetism and ferroelectricity simultaneously by using VO. Combined experimental and density-functional theory studies of Eu0.5Ba0.5TiO3-δ, we demonstrate that oxygen vacancies create Ti3+ 3d1 defect states, mediating the ferromagnetic coupling between the localized Eu 4f7 spins, and increase an off-center displacement of Ti ions, enhancing the ferroelectric Curie temperature. The dual function of Ti sites also promises a magnetoelectric coupling in the Eu0.5Ba0.5TiO3-δ. Copyright © 2017, The Authors. All rights reserved.

关键词： Oxygen vacancies

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Two-photon Mueller matrix-second-harmonic generation microscopy of porcine samples

Two-photon Mueller matrix-second-harmonic generation microsc...

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Frontiers in Optics 2015, FIO 2015

作者： Okoro, Chukwuemeka Toussaint, Kimani C. Department of Electrical and Computer Engineering University of Illinois Urbana-Champaign UrbanaIL61801 United States Department of Mechanical Science and Engineering University of Illinois Urbana-Champaign UrbanaIL61801 United States Department of Electrical and Computer Engineering Bioengineering Beckman Institute for Advanced Science and Technology University of Illinois Urbana-Champaign UrbanaIL61801 United States

Quantitative assessment of collagen-based porcine samples is performed using twophoton Mueller matrix analysis of second-harmonic generation (SHG) images. A depolarization parameter is evaluated as a function of sampl... 详细信息

ISBN: (纸本)9781943580033

关键词： Harmonic generation

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A real-time moving objects detection and classification approach for static cameras

A real-time moving objects detection and classification appr...

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IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Hong-Son Vu Jia-Xian Guo Kuan-Hung Chen Shu-Jui Hsieh De-Sheng Chen Ph.D. Program of Electrical and Communications Engineering Feng Chia University Taichung Taiwan R.O.C Department of Electronic Engineering Feng Chia University Taichung Taiwan R.O.C Department of Information Engineering and Computer Science Feng Chia University Taichung Taiwan R.O.C

ISBN: (纸本)9781509020744

Moving objects recognition plays an important role in camera-only active safety systems and intelligent autonomous vehicles. For these applications, reliable detection performance is required; however, pedestrian detection is challenging due to their divergent dressing and action variety. Besides, real-time detection and recognition performance is also critical. This paper aims to optimize the pedestrian detection and recognition by combining both temporal-domain and spatial-domain methods. Accordingly, we first use Background Subtraction (BS) technique to detect moving objects. Then, we use AdaBoost algorithm to classify the detected moving objects into their categories. Experimental results on our datasets show that the proposed approach can speed up 3.3 times in terms of processing rate, with significantly improved detection performance, i.e., at least 17% detection rate increment and 38% false alarm decrement for daytime out-door applications.

关键词： Classification algorithms Object detection Real-time systems Object recognition Lighting Training Histograms

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A hybrid evolutionary probabilistic forecasting model applied for rainfall and wind power forecast

A hybrid evolutionary probabilistic forecasting model applie...

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IEEE Workshop on Evolving and Adaptive Intelligent Systems (EAIS)

作者： Guilherme G. Netto Alexandre C. Barbosa Mateus N. Coelho Arthur R. L. Miranda Vitor N. Coelho Marcone J. F. Souza Frederico G. Guimarães Agnaldo J. R. Reis Department of Control and Automation Engineering Universidade Federal de Ouro Preto Ouro Preto MG Brazil Graduate Program of Electrical Engineering Univesidade Federal de Minas Gerais Belo Horizonte MG Brazil Department of Computer Science Universidade Federal de Ouro Preto Ouro Preto MG Brazil Departament of Electrical Engineering Univesidade Federal de Minas Gerais Belo Horizonte MG Brazil

Several works in the literature so far have been focused on deterministic point forecasts, which, usually, indicates the conditional mean of future observations. An increasing need for generating the entire conditional distribution of future observations has been required for the new generation of soft sensors. This study aims the probabilistic forecasts, reporting the use of a hybrid fuzzy forecasting model applied in two different forecasting problems. Our adapted model is applied to predict the rain of the city of Vitoria, in the state of Espírito Santo, Brazil. Real data from a wind farm, provided by the Irish EirGrid institute, was used for analyzing the proposal over a real time series with high fluctuations. Due to the stochasticity of the the hybrid model, which is calibrated through the use of an evolutionary metaheuristic, we adapted it in order to generate future using quantile regression. Computational experiments indicated the ability of the model in finding useful probabilistic quantiles, which were flexible enough in order to limit the lower and upper bounds of the historical datasets. While the probabilistic quantiles suggested the probability of rain and its magnitude, they were also able to predict expected ranges of the amount of energy generated from the wind farm.

关键词： Forecasting Predictive models Wind forecasting Probabilistic logic Wind power generation Adaptation models Time series analysis

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DOMMINO 2.0: Integrating structurally resolved protein-, RNA-, and DNA-mediated Macromolecular interactions

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Database 2016年第2016期2016卷 bav114页

作者： Kuang, Xingyan Dhroso, Andi Han, Jing Ginger Shyu, Chi-Ren Korkin, Dmitry Informatics Institute University of Missouri Columbia MO United States Department of Computer Science Bioinformatics and Computational Biology Program Worcester Polytechnic Institute Worcester MA United States Department of Electrical and Computer Engineering United States Department of Computer Science University of Missouri Columbia MO United States Ohio State University Comprehensive Cancer Center Columbus OH United States

Macromolecular interactions are formed between proteins, DNA and RNA molecules. Being a principle building block in macromolecular assemblies and pathways, the interactions underlie most of cellular functions. Malfunctioning of macromolecular interactions is also linked to a number of diseases. Structural knowledge of the macromolecular interaction allows one to understand the interaction's mechanism, determine its functional implications and characterize the effects of genetic variations, such as single nucleotide polymorphisms, on the interaction. Unfortunately, until now the interactions mediated by different types of macromolecules, e.g. protein-protein interactions or protein-DNA interactions, are collected into individual and unrelated structural databases. This presents a significant obstacle in the analysis of macromolecular interactions. For instance, the homogeneous structural interaction databases prevent scientists from studying structural interactions of different types but occurring in the same macromolecular complex. Here, we introduce DOMMINO 2.0, a structural Database Of Macro-Molecular INteractiOns. Compared to DOMMINO 1.0, a comprehensive database on protein-protein interactions, DOMMINO 2.0 includes the interactions between all three basic types of macromolecules extracted from PDB files. DOMMINO 2.0 is automatically updated on a weekly basis. It currently includes ∼1 040 000 interactions between two polypeptide subunits (e.g. domains, peptides, termini and interdomain linkers), ∼43 000 RNA-mediated interactions, and ∼12 000 DNA-mediated interactions. All protein structures in the database are annotated using SCOP and SUPERFAMILY family annotation. As a result, protein-mediated interactions involving protein domains, interdomain linkers, C- and N-termini, and peptides are identified. Our database provides an intuitive web interface, allowing one to investigate interactions at three different resolution levels: whole subunit network, binary intera

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