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Movement strategies and the necessity for task differentiation

Behavioral and Brain sciences 2011年第2期14卷 359-364页

作者： Daniel M. Corcos Simon R. Gutman Gyan C. Agarwal Gerald L. Gottlieb College of Kinesiology University of Illinois at Chicago Chicago IL 60680 Department of Physiology Rush Medical College Chicago IL 60612 Departments of Electrical Engineering Computer Science and Bioengineering University of Illinois at Chicago Chicago IL 60680 Electronic mail: agarwal@uicbert.eecs.uic.edu

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A novel technique for localized formation of SOI active regions

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Physica Status Solidi (C) Current Topics in Solid State Physics 2011年第6期8卷 1865-1868页

作者： Veeramachaneni, Bharat Winans, Joshua D. Hu, Shaoting Kawamura, Daiji Fauchet, Philippe M. Witt, Kevin Hirschman, Karl D. Semitool Inc. Kalispell MT United States Materials Science Program University of Rochester Rochester NY United States Department of Microelectronic Engineering Rochester Institute of Technology Rochester NY United States Department of Electrical and Computer Engineering University of Rochester Rochester NY United States

In this work we study the role of fluorine for the selective suppression of porous silicon in localized SOI applications. The formation of porous silicon can be done selectively by controlling the Fermi level in areas to be etched or not etched, which is typically done by adjusting the level of doping. Implanted fluorine in silicon has demonstrated a donor effect upon annealing at low temperature (600 °C), which is reversible as the fluorine outdiffuses during higher temperature annealing (1100 °C). The investigated technique has been used to form crystalline silicon active regions with thickness less than 200 nm completely surrounded by oxidized porous silicon. The electronic integrity of the active area has also been established through nMOS transistor fabrication and characterization. © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

关键词： Thin film transistors

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MEMS mass sensors with uniform sensitivity for monitoring cellular apoptosis

MEMS mass sensors with uniform sensitivity for monitoring ce...

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International Solid-State Sensors, Actuators and Microsystems Conference

作者： Park, K. Millet, L. Kim, N. Li, H. Hsia, K.J. Aluru, N.R. Bashir, R. Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign Urbana IL 61801 United States Micro and Nanotechnology Laboratory University of Illinois at Urbana-Champaign Urbana IL 61801 United States Department of Mechanical Science and Engineering University of Illinois at Urbana-Champaign Urbana IL 61801 United States Department of Bioengineering University of Illinois at Urbana-Champaign Urbana IL 61801 United States Beckman Institute of Advanced Science and Technology University of Illinois at Urbana-Champaign Urbana IL 61801 United States University of Illinois at Urbana-Champaign 2000 Micro and Nanotechnology Laboratory Urbana IL 61801 United States

ISBN: (纸本)9781457701573

MEMS-based resonant mass sensors can be sensitive tools to measure the physical properties of cells such as their mass. We recently developed an array of sensors that have a uniform mass sensitivity for measuring the stiffness and the long-term growth rate of adherent human colon adenocarcinoma cells (HT-29) [1]. We demonstrated that for these adherent single cells, the cell growth rate increases with call mass, i.e. larger cells grow faster. The finding points to the fact that additional cell-size control mechanisms might be required for cell size homeostasis over generations and that growth rate is determined by the amount of the ribosomal machinery, which doubles during the cell cycle. Here, we expand our studies by presenting an additional sensor design with further optimization for higher uniformity of the mass sensitivity based on a detailed numerical analysis. We also demonstrate that MEMS resonant mass sensors can be used to measure physical changes in apoptotic cells. HT29 were treated with staurosporine, a potent drug that induces cellular apoptosis. Through Laser Doppler Vibrometery (LDV), we measured changes in the cells' apparent mass, and correlated these changes with optical images using dark field microscopy. Such real-time mass measurements of individual cells coupled with optical imaging can be a powerful tool to understand the physiological processes of cell growth and apoptosis. © 2011 IEEE.

关键词： MEMS

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Effect of visual stimulus locations on pattern-reversal visual evoked potential An epidural electrocorticogram study

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中国神经再生研究（英文版） 2011年第26期6卷

作者： Wensheng Hou1 Weiwei Shi1 Xiaolin Zheng1 Na Liu2 Zongxia Mou1 Yingtao Jiang3 Zhengqin Yin2 1Key Laboratory of Biorheological science and Technology (Chongqing University) Ministry of Education bioengineering College Chongqing University Chongqing 400044 China 2department of Ophthalmology Southwest Hospital Third Military Medical University of Chinese PLA Chongqing 400038 China 3department of electrical and computer engineering University of Nevada Las Vegas NV 89154 USA Key Laboratory of Biorheological Science and Technology (Chongqing University) Ministry of EducationBioengineering CollegeChongqing UniversityChongqing 400044China Department of Ophthalmology Southwest HospitalThird Military Medical University of Chinese PLAChongqing 400038China Department of Electrical and Computer Engineering University of NevadaLas VegasNV 89154USA

To explore the effect of the location of a visual stimulus on neural responses in the primary visual cortex (V1), a micro-electromechanical system-based microelectrode array with nine channels was implanted on the cerebral dura mater of V1 in adult cats. 2 Hz pattern reversal checkerboard stimuli were used to stimulate the four visual quadrants (i.e., upper left, upper right, lower left, and lower right fields). The results showed that there was a N75 component of the visual evoked potential around 50-80 ms after the onset of a checkerboard stimulus, and the onset of these N75 peaks varied with different stimulus locations. The checkerboard stimuli induced shorter latencies in the contralateral V1 than in the ipsilateral V1, while the checkerboard stimulus in the upper half visual field induced shorter latencies for N75. These results suggested that the pattern-reversal stimuli induced neural activities in V1 that can be recorded with multichannel microelectrodes, and more detailed temporal and spatial properties can be measured.

关键词： checkerboard cerebral dura mater visual evoked potential microelectrode array primary visual cortex

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A parallel architecture for ray-tracing with an embedded intersection algorithm

A parallel architecture for ray-tracing with an embedded int...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Alexandre S. Nery Nadia Nedjah Felipe M.G. França Lech Jozwiak LAM-Computer Architecture and Microelectronics Laboratory Systems Engineering and Computer Science Program COPPE Universidade Federal do Rio de Janeiro Brazil Department of Electrical Engineering-Electronic Systems Eindhovan University of Technology Netherlands Department of Electronics Engineering and Telecommunications-Faculty of Engineering Universidade do Estado do Rio de Janeiro (UERJ) Brazil

Real time rendering of three-dimensional scenes in Ray Tracing is a hard problem. However, parallel implementations have been enabling real time performance, as the algorithm can be highly parallelized. Thus, a custom parallel design in hardware is likely to achieve a good performance. In this paper, we further improve the GridRT architecture overall performance by embedding the ray-triangle intersection computation into the precessing elements that form the architecture. Low cost and high rendering performance are the main concerns in this novel design. The results show that the execution time of each intersection computation is reduced by at least 50%, while the area cost is practically unchanged or even reduced when compared to the original GridRT implementation.

关键词： Ray tracing Registers Equations USA Councils Mathematical model Parallel architectures

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Optimization of defect hole placement in resonant cavities

Optimization of defect hole placement in resonant cavities

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Conference on Lasers and Electro-Optics (CLEO)

作者： Christopher Kang Sharon M. Weiss Yurii A. Vlasov Solomon Assefa Interdisciplinary Graduate Program in Materials Science Vanderbilt University Nashville TN USA Department of Electrical Engineering and Computer Science Vanderbilt University USA IBM T.J Watson Research Center Yorktown Heights NY USA

We demonstrate the resonance wavelength and quality factor dependence of 50nm defect-hole placement within photonic crystal L3 microcavities. Proper placement of defect-holes leads to a 12% increase in photonic crysta... 详细信息

ISBN: (纸本)9781557529107

关键词： Cavity resonators Lattices Photonic crystals Optical waveguides Sensitivity Slabs Q factor

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Publisher’s Note: “Guided-mode-resonance-coupled plasmonic-active SiO2 nanotubes for surface enhanced Raman spectroscopy” [Appl. Phys. Lett. 100, 191114 (2012)]

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Applied Physics Letters 2012年第5期101卷

作者： Xiaobin Xu Dihan Hasan Lei Wang Swapnajit Chakravarty Ray T. Chen D. L. Fan Alan X. Wang 1Materials Science and Engineering Program Texas Materials Institute University of Texas at Austin Austin Texas 78712 USA 2School of Electrical Engineering and Computer Science Oregon State University Corvallis Oregon 97331 USA 3Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology 430074 Wuhan China 4Microelectronic Research Center University of Texas at Austin Austin Texas 78758 USA 5Omega Optics Inc. Austin Texas 78759 USA 6Department of Mechanical Engineering University of Texas at Austin Austin Texas 78712 USA

This article was originally published online on 10 May 2012 with an incorrect affiliation for co-author D. L. Fan and an incorrect footnote designation for co-a

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Hardware Reuse in Modern Application-Specific Processors and Accelerators

Hardware Reuse in Modern Application-Specific Processors and...

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Euromicro Symposium on Digital System Design

作者： Alexandre S. Nery Lech Jozwiak Menno Lindwer Mauro Cocco Nadia Nedjah Felipe M.G. Franca LAM-Computer Architecture and Microelectronics Laboratory Systems Engineering and Computer Science Program COPPE Universidade Federal do Rio de Janeiro Brazil Department of Electrical Engineering-Electronic Systems Eindhoven University of Technology Netherlands Silicon Hive-Intel UMG Netherlands Department of Electronics Engineering and Telecommunications-Faculty of Engineering Universidade do Estado do Rio de Janeiro Brazil

Effective exploitation of the application-specific parallel patterns and computation operations through their direct implementation in hardware is the base for construction of high-quality application-specific (re-)configurable application specific instruction set processors (ASIPs) and hardware accelerators for modern highly-demanding applications. Although it receives a lot of attention from the researchers and practitioners, a very important problem of hardware reuse in ASIP and accelerator synthesis is clearly underestimated and does not get enough attention in the published research. This paper is an effect of an industry and academic collaborative research. It analyses the problem of hardware sharing, shows its high practical relevance, as well as a big influence of hardware sharing on the major circuit and system parameters, and its importance for the multi-objective optimization and tradeoff exploitation. It also demonstrates that the state-of-the-art synthesis tools do not sufficiently address this problem and gives several guidelines related to enhancement of the hardware reuse.

关键词： Hardware Resource management computer architecture Optimization program processors Adders Delay

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Supervised Learning Framework For Screening Nuclei in Tissue Sections

Supervised Learning Framework For Screening Nuclei in Tissue...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Kaustav Nandy Prabhakar R. Gudla Ryan Amundsen Karen J. Meaburn Tom Misteli Stephen J. Lockett Optical Microscopy and Analysis Laboratory Advanced Technology program SAIC-Frederick Inc. Electrical Engineering and Computer Science Department University of Michigan Cell Biology of Gene Expression National Cancer Institute National Institutes of Health

ISBN: (纸本)9781424441211

Accurate segmentation of cell nuclei in microscope images of tissue sections is a key step in a number of biological and clinical applications. Often such applications require analysis of large image datasets for which manual segmentation becomes subjective and time consuming. Hence automation of the segmentation steps using fast, robust and accurate image analysis and pattern classification techniques is necessary for high throughput processing of such datasets. We describe a supervised learning framework, based on artificial neural networks (ANNs), to identify well-segmented nuclei in tissue sections from a multistage watershed segmentation algorithm. The successful automation was demonstrated by screening over 1400 well segmented nuclei from 9 datasets of human breast tissue section images and comparing the results to a previously used stacked classifier based analysis framework.

关键词： tissue section Cell nucleus Semi-supervised Learning Nucleus Dataset image analysis MULTISTAGE Artificial neural networks Frameworks nuclei (nuclear physics) segmentation Segmentation Automation pattern classification method

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Microfluidic flow cytometer utilizing optical space-time coding technique

Microfluidic flow cytometer utilizing optical space-time cod...

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IEEE Photonics Conference (IPC)

作者： Tsung-Feng Wu Zhe Mei Luca Pion-Tonachini Yu-Hwa Lo Materials Science and Engineering Program University of California at San Diego La Jolla CA USA School of Information and Electronics Beijing Institute of Technology Beijing China Department of Electrical and Computer Engineering University of California at San Diego La Jolla CA USA

An optical-coding technique for microfluidic flow cytometers to detect forward scattering and large angle scattering signals that can be used to differentiate beads and cells.

关键词： Optical scattering Microfluidics Optical sensors Optical signal processing Optical device fabrication Biomedical optical imaging

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