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International Conference on Solid State Sensors and Actuators (TRANSDUCERS)

作者： J. Choi J. Yoo M. Lee E.-G. Kim J. S. Lee S. Lee S. Joo S. H. Song E.-C. Kim J. C. Lee H. C. Kim Y.-G. Jung S. Kwon Department of Electrical Engineering and Computer Science Seoul National University Seoul Republic of Korea QuantaMatrix Inc. Republic of Korea Interdisciplinary Program of Bioengineering Seoul National University Graduate School Seoul Republic of Korea Department of Laboratory Medicine School of Medicine” Incheon Republic of Korea Department of Laboratory Medicine Seoul National-University Hospital Seoul Republic of Korea Institute of Medical and Biological Engineering Seoul National University Seoul Republic of Korea

A rapid antibiotic susceptibility test (AST) is desperately needed in clinical settings for fast and appropriate antibiotic administration. Traditional ASTs, which rely on cell culture, are not suitable for urgent cases of bacterial infection and antibiotic resistance owing to their relatively long test times. Here, we describe a novel AST called single-cell morphological analysis (SCMA) that can determine antimicrobial susceptibility by automatically analyzing and categorizing morphological changes in single bacterial cells under various antimicrobial conditions. The SCMA was tested with four Clinical and Laboratory Standards Institute standard bacterial strains and 189 clinical samples from hospitals. The results were compared with the gold standard broth microdilution test. The SCMA results were obtained in less than 4 hours with 91.5% categorical agreement and 6.51% minor, 2.56% major, and 1.49% very major discrepancies. Thus, SCMA provides rapid and accurate antimicrobial susceptibility data.

关键词： Microorganisms Antibiotics Strain Immune system Microfluidics Standards Imaging

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Chronic Transcranial Focal Stimulation from Tripolar Concentric Ring Electrodes does not Disrupt Memory Formation in Rats

Chronic Transcranial Focal Stimulation from Tripolar Concent...

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

作者： Matthew D. Luby Oleksandr Makeyev Walter G. Besio Department of Electrical Computer and Biomedical Engineering and the Interdisciplinary Neuroscience Program of the University of Rhode Island

ISBN: (纸本)9781424479276

Non-invasive electrical brain stimulation has shown potential utility as a treatment for seizures in epilepsy patients. Transcranial focal stimulation (TFS) via tripolar concentric ring electrodes (TCREs) has been effective in reducing seizure severity in acute rodent models, but it has yet to be determined whether or not it will serve as a viable long-term treatment strategy. Prior experiments indicate that a single dose of TFS via TCRE does not impact short- or long-term memory formation. The present study investigated if five daily doses of TFS via a TCRE on the scalp affected the memory. The spontaneous object recognition (SOR) test was used to evaluate the memory. Sham and TFS-treated groups were evaluated and both showed comparable levels of preference for novel objects, indicating successful memory formation. More work on repeated dosage strategies is important for establishing the safety and efficacy of TFS as a putative treatment.

关键词： Rats Electrodes Delays electrical stimulation Epilepsy Object recognition

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Downlink analysis for a heterogeneous cellular network

Downlink analysis for a heterogeneous cellular network

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2014 12th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2014

作者： Madhusudhanan, Prasanna Restrepo, Juan G. Liu, Youjian Eugene Brown, Timothy X. Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309-0425 United States Department of Applied Mathematics University of Colorado Boulder CO 80309-0425 United States Interdisciplinary Telecommunications Program University of Colorado Boulder CO 80309-0425 United States

ISBN: (纸本)9783901882630

In this paper, a comprehensive study of the downlink performance in a heterogeneous cellular network (or hetnet) is conducted. A general hetnet model is considered consisting of an arbitrary number of open-access and closed-access tier of base stations (BSs) arranged according to independent homogeneous Poisson point processes. The BSs of each tier have a constant transmission power, random fading coefficient with an arbitrary distribution and arbitrary path-loss exponent of the power-law path-loss model. For such a system, analytical characterizations for the coverage probability and average rate at an arbitrary mobile-station (MS), and average per-tier load are derived for the max-SINR connectivity model. Using stochastic ordering, interesting properties and simplifications for the hetnet downlink performance are derived by relating this connectivity model to the maximum instantaneous received power (MIRP) connectivity model, providing good insights about the hetnets and the downlink performance in these complex networks. Furthermore, the results also demonstrate the effectiveness and analytical tractability of the stochastic geometric approach to study the hetnet performance. © 2014 IFIP.

关键词： Fading channels

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Proceedings of the 15th Annual UT-KBRIN Bioinformatics Summit 2016 : Cadiz, KY, USA. 8-10 April 2016

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BMC bioinformatics 2016年第SUPPL 10期17卷 297页

作者： Eric C. Rouchka Julia H. Chariker Benjamin J. Harrison Juw Won Park Xueyuan Cao Stanley Pounds Susana Raimondi James Downing Raul Ribeiro Jeffery Rubnitz Jatinder Lamba Bernie J. Daigle Deborah Burgess Stephanie Gehrlich John C. Carmen Nicholas Johnson Chandrakanth Emani Kalpani De Silva Michael P. Heaton Theodore S. Kalbfleisch Teeradache Viangteeravat Rahul Mudunuri Oluwaseun Ajayi Fatih Şen Eunice Y. Huang Mohammad Mohebbi Luaire Florian Douglas J. Jackson John F. Naber AKM Sabbir Sally R. Ellingson Yuping Lu Charles A Phillips Michael A. Langston Rahul K. Sevakula Raghuveer Thirukovalluru Nishchal K. Verma Yan Cui Mohammed Sayed Jing Wang Qi Liu Yu Shyr Xiaofei Zhang Naresh Prodduturi Gavin R. Oliver Diane Grill Jie Na Jeanette Eckel-Passow Eric W. Klee Michael M. Goodin Mark Farman Harrison Inocencio Chanyong Jang Jerzy W. Jaromczyk Neil Moore Kelly Sovacool Leon Dent Mike Izban Sammed Mandape Shruti Sakhare Siddharth Pratap Dana Marshall M Scotty DePriest James N. MacLeod Hanady Adam Ethan Blandford Joel Campbell Joshua Castlen Brittany Dixon Ginger Gilbert Aaron Hall Philip Kreisle Jessica Lasher Bethany Oakes Allison Speer Maximilian Valentine Naga Satya V. Rao Nagisetty Rony Jose Robert Rooney David Hains Department of Computer Engineering and Computer Science University of Louisville Duthie Center for Engineering Louisville USA Kentucky Biomedical Research Infrastructure (KBRIN) Bioinformatics Core Louisville USA Department of Psychological and Brain Sciences University of Louisville Louisville USA Department of Anatomical Sciences and Neurobiology University of Louisville Louisville USA Department of Biostatistics St. Jude Children’s Research Hospital Memphis USA Department of Pathology St. Jude Children’s Research Hospital Memphis USA Department of Oncology St. Jude Children’s Research Hospital Memphis USA Department of Pharmacotherapy and Translational Research College of Pharmacy University of Florida Gainesville USA Department of Biological Sciences University of Memphis Memphis USA Department of Computer Science University of Memphis Memphis USA Department of Computer Science Northern Kentucky University Highland Heights USA Department of Biological Sciences Northern Kentucky University Highland Heights USA Department of Biology Western Kentucky University Bowling Green USA Interdisciplinary Studies Program: Specialization in Bioinformatics University of Louisville Louisville USA United States Department of Agriculture Agricultural Research Service United States Meat Animal Research Center Clay Center USA Department of Biochemistry and Molecular Genetics School of Medicine University of Louisville Louisville USA Biomedical Informatics Core Children’s Foundation Research Institute Memphis USA Department of Pediatrics University of Tennessee Health Science Center Memphis USA Department of Electrical and Computer Engineering University of Louisville Louisville USA Department of Computer Science University of Kentucky Lexington USA Division of Biomedical Informatics College of Medicine University of Kentucky Lexington USA Department of Electrical Engineering and Computer Science University of Tennessee Knoxville USA Department of Electrical E

I1 Proceedings of the Fifteenth Annual UT- KBRIN Bioinformatics Summit 2016 Eric C. Rouchka, Julia H. Chariker, Benjamin J. Harrison, Juw Won Park P1 CC-PROMISE: Projection onto the Most Interesting Statistical Evidence (PROMISE) with Canonical Correlation to integrate gene expression and methylation data with multiple pharmacologic and clinical endpoints Xueyuan Cao, Stanley Pounds, Susana Raimondi, James Downing, Raul Ribeiro, Jeffery Rubnitz, Jatinder Lamba P2 Integration of microRNA-mRNA interaction networks with gene expression data to increase experimental power Bernie J Daigle, Jr. P3 Designing and writing software for in silico subtractive hybridization of large eukaryotic genomes Deborah Burgess, Stephanie Gehrlich, John C Carmen P4 Tracking the molecular evolution of Pax gene Nicholas Johnson; Chandrakanth Emani P5 Identifying genetic differences in thermally dimorphic and state specific fungi using in silico genomic comparison Stephanie Gehrlich, Deborah Burgess, John C Carmen P6 Identification of conserved genomic regions and variation therein amongst Cetartiodactyla species using next generation sequencing Kalpani De Silva, Michael P Heaton, Theodore S Kalbfleisch P7 Mining physiological data to identify patients with similar medical events and phenotypes Teeradache Viangteeravat, Rahul Mudunuri, Oluwaseun Ajayi, Fatih Şen, Eunice Y Huang P8 Smart brief for home health monitoring Mohammad Mohebbi, Luaire Florian, Douglas J Jackson, John F Naber P9 Side-effect term matching for computational adverse drug reaction predictions AKM Sabbir, Sally R Ellingson P10 Enrichment vs robustness: A comparison of transcriptomic data clustering metrics Yuping Lu, Charles A Phillips, Michael A Langston P11 Deep neural networks for transcriptome-based cancer classification Rahul K Sevakula, Raghuveer Thirukovalluru, Nishchal K. Verma, Yan Cui P12 Motif discovery using K-means clustering Mohammed Sayed, Juw Won Park P13 Large scale discovery of active enhancers from nasce

关键词： True Negative Differential Expression UCSC Genome Browser Laboratory Information Management System Biomedical Informatics

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Automatic stress-relieving music recommendation system based on photoplethysmography-derived heart rate variability analysis

Automatic stress-relieving music recommendation system based...

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

作者： Il-hyung Shin Jaepyeong Cha Gyeong Woo Cheon Choonghee Lee Seung Yup Lee Hyung-Jin Yoon Hee Chan Kim Interdisciplinary Program Biomedical Engineering Major Graduate School Seoul National University Department of Electrical and Computer Engineering Johns Hopkins University Interdisciplinary Program Bioengineering Major Graduate School Seoul National University Department of Biomedical Engineering University of Michigan Department of Biomedical Engineering College of Medicine Seoul National University

ISBN: (纸本)9781424479276

This paper presents an automatic stress-relieving music recommendation system (ASMRS) for individual music listeners. The ASMRS uses a portable, wireless photoplethysmography module with a finger-type sensor, and a program that translates heartbeat signals from the sensor to the stress index. The sympathovagal balance index (SVI) was calculated from heart rate variability to assess the user's stress levels while listening to music. Twenty-two healthy volunteers participated in the experiment. The results have shown that the participants' SVI values are highly correlated with their prespecified music preferences. The sensitivity and specificity of the favorable music classification also improved as the number of music repetitions increased to 20 times. Based on the SVI values, the system automatically recommends favorable music lists to relieve stress for individuals.

关键词： Heart rate variability Stress Recommender systems Indexes Multiple signal classification Educational institutions Music

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Optics and photonics of Taiwan international conference: Introduction by the feature editors

Optics and photonics of Taiwan international conference: Int...

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作者： Fuh, Andy Y.-G. Khoo, Iam Choon Lin, Tsung-Hsien Huang, Yi-Pai Chien, Liang-Chy Chigrinov, Vladimir G. Yang, Tsung-Hsun Department of Physics Advanced Optoelectronic Technology Center National Cheng Kung University Tainan701 Taiwan Department of Electrical Engineering Pennsylvania State University University ParkPA16802 United States Department of Photonics National Sun Yat-Sen University Kaohsiung804 Taiwan Department of Photonics and Display Institute National Chiao Tung University Hsin-Chu300 Taiwan Chemical Physics Interdisciplinary Program Liquid Crystal Institute Kent State University KentOH44242 United States Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong Department of Optics and Photonics National Central University Chung-Li City320 Taiwan

This Applied Optics feature issue is dedicated to the Optics and Photonics of Taiwan International Conference (OPTIC 2013), held 5-7 December 2013 in Zhongli (Chung-Li), Taiwan. The conference takes place every year at different universities in Taiwan. This feature issue is particularly focused on a broad range of topics covered under subconference VII (Display Technology), and also includes topics pertaining to display technology under other subconferences. In addition, the feature issue is open to all other researchers in the related area. © 2014 Optical Society of America.

关键词： Photonics

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Corrigendum to "Target-specific near-IR induced drug release and photothermal therapy with accumulated Au/Ag hollow nanoshells on pulmonary cancer cell membranes" [Biomaterials 45 (2015) 81-92]

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Biomaterials 2015年 65卷 124-125页

作者： Mi Suk Noh Somin Lee Homan Kang Jin-Kyoung Yang Hyunmi Lee Doyk Hwang Jong Woo Lee Sinyoung Jeong Yoonjeong Jang Bong-Hyun Jun Dae Hong Jeong Seong Keun Kim Yoon-Sik Lee Myung-Haing Cho Laboratory of Toxicology College of Veterinary Medicine Seoul National University Seoul 151-742 Republic of Korea Program in Nano Science and Technology Graduate School of Convergence Science and Technology Seoul National University Seoul 151-742 Republic of Korea Medical Supplies Evaluation Center Korea Testing Certification Gunpo 435-862 Republic of Korea. Graduate Group of Tumor Biology Seoul National University Seoul 151-742 Republic of Korea. Interdisciplinary Program in Nano-Science and Technology Seoul National University Seoul 151-742 Republic of Korea School of Electrical Engineering and Computer Science Seoul National University Seoul 151-742 Republic of Korea. School of Chemical and Biological Engineering Seoul National University Seoul 151-742 Republic of Korea. Department of Biophysics and Chemical Biology and Department of Chemistry Seoul National University Seoul 151-742 Republic of Korea. Department of Chemistry Education Seoul National University Seoul 151-742 Republic of Korea. Laboratory of Toxicology College of Veterinary Medicine Seoul National University Seoul 151-742 Republic of Korea. Department of Bioscience and Biotechnology Konkuk University Seoul 143-701 Republic of Korea. Department of Chemistry Education Seoul National University Seoul 151-742 Republic of Korea. School of Chemical and Biological Engineering Seoul National University Seoul 151-742 Republic of Korea. Electronic address: yslee@snu.ac.kr. Graduate Group of Tumor Biology Seoul National University Seoul 151-742 Republic of Korea Advanced Institute of Convergence Technology Seoul National University Suwon 443-270 Republic of Korea. Electronic address: mchotox@snu.ac.kr.

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Role of bias conditions in the hot carrier degradation of AlGaN/GaN high electron mobility transistors

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Physica Status Solidi (C) Current Topics in Solid State Physics 2013年第5期10卷 794-798页

作者： Mukherjee, Shubhajit Puzyrev, Yevgeny Hinckley, John Schrimpf, Ronald D. Fleetwood, Daniel M. Singh, Jasprit Pantelides, Sokrates T. Interdisciplinary Program in Materials Science Vanderbilt University Nashville TN 37212 United States Department of Physics and Astronomy Vanderbilt University Nashville TN 37212 United States Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI 48109 United States Department of Electrical Engineering and Computer Science Vanderbilt University Nashville TN 37212 United States

The impacts of gate bias and device temperature on carrier energy distributions are reported for AlGaN/GaN High Electron Mobility Transistors. The lateral electric field and the average carrier energy are the highest at the end of gate on the gate-drain access side. The number of high energy carriers is the greatest in the semi-ON operating condition, with maximum energies exceeding the activation energy of defects in the AlGaN. There is a significant decrease in the number of very high energy carriers (greater than 2 eV) as the device temperature increases whereas the number of moderately energetic carriers (between 1 to 2 eV) is higher at elevated temperatures. © 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

关键词： High electron mobility transistors

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Biomimetics: Biomimetic Microfingerprints for Anti‐Counterfeiting Strategies (Adv. Mater. 12/2015)

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Advanced Materials 2015年第12期27卷

作者： Hyung Jong Bae Sangwook Bae Cheolheon Park Sangkwon Han Junhoi Kim Lily Nari Kim Kibeom Kim Suk‐Heung Song Wook Park Sunghoon Kwon Department of Electrical and Computer Engineering Seoul National University Gwanak‐ro Gwanak‐gu Seoul 151‐744 South Korea Center for Nanoparticle Research Institute for Basic Science (IBS) Seoul National University Gwanak‐ro Gwanak‐gu Seoul 151‐744 South Korea Institute of Entrepreneurial Bio Convergence Seoul National University Gwanak‐ro Gwanak‐gu Seoul 151‐744 South Korea Interdisciplinary Program for Bioengineering Seoul National University Gwanak‐ro Gwanak‐gu Seoul 151‐744 South Korea Department of Electronics and Radio Engineering Institute for Laser Engineering Kyung Hee University Deongyeong‐daero Giheung‐gu Yongin‐si Gyeonggi‐do 446‐701 South Korea

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Simplifying complexity: Modeling the process of collaboration between artists and scientists 13

Simplifying complexity: Modeling the process of collaboratio...

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31st ACM International Conference on Design of Communication, SIGDOC 2013

作者： McDougall, Zoe Fels, Sidney Lopes, Dominic O'Brien, Heather L. Interdisciplinary Studies Graduate Program University of British Columbia Vancouver BC Canada Department of Electrical and Computer Engineering University of British Columbia Vancouver BC Canada Department of Philosophy University of British Columbia Vancouver BC Canada The iSchool University of British Columbia Vancouver BC Canada

ISBN: (纸本)9781450321310

This paper presents a modal model to describe and facilitate communication design in collaborative settings. This model was conceived of as a tool for understanding the nature of collaboration between artists and scientists in an interdisciplinary case study, but can be used cross-disciplinarily and ultimately prescriptively. The model may reveal shifting patterns of interaction between collaborators over time and through multiple processes. Patterns may be revealed in setting and attaining benchmark goals as well as in general group communication. Different collaborative modes (ontological relationships between collaborators) and modes of being (phenomenological relationship between collaborators) form the basis for sixty collaborative possibilities with two or more collaborators. © 2013 ACM.

关键词： communication collaboration models charles s. peirce

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