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12th IEEE International Conference on Wearable and Implantable Body Sensor Networks, BSN 2015

作者： Vaddiraju, Santhisagar Kastellorizios, Michail Legassey, Allen Burgess, Diane Jain, Faquir Papadimitrakopoulos, Fotios Biorasis Inc. Technology Incubation Program University of Connecticut StorrsCT06268 United States Nanomaterials Optoelectronics Laboratory Institute of Materials Science University of Connecticut StorrsCT06269 United States Electrical and Computer Engineering University of Connecticut StorrsCT06269 United States Department of Pharmaceutical Sciences University of Connecticut StorrsCT06269 United States Department of Chemistry University of Connecticut StorrsCT06269 United States

ISBN: (纸本)9781467372015

Unlike non-invasive and minimally invasive continuous monitoring of glucose (CGM) devices, invasive devices require less rigorous calibration and exhibit smaller subject-to-subject variability. Biorasis, Inc. and the University of Connecticut are developing a totally implantable CGM device. Glucowizzard™ is engineered at the smallest possible footprint (0.5 × 0.5 × 5 mm). This miniaturization is made possible by utilizing light both for powering and wireless communication. In addition, Glucowizzard™ utilizes 'smart' hydrogel coatings intended for localized release of various tissue response modifiers for effective control of negative tissue responses. The use of light-based powering and communication together with advanced microelectronic design rules has allowed the fabrication of truly miniaturized CGM device. The drug delivery coating has enabled substantial reduction of negative tissue responses for up to 1 month in small as well as large animals (rats and minipigs). The functionality of Glucowizzard™ has been demonstrated in vivo in both rats and minipigs. © 2015 IEEE.

关键词： Rats

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Needle-implantable, wireless biosensor for continuous glucose monitoring

Needle-implantable, wireless biosensor for continuous glucos...

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International Workshop on Wearable and Implantable Body Sensor Networks (BSN)

作者： Santhisagar Vaddiraju Michail Kastellorizios Allen Legassey Diane Burgess Faquir Jain Fotios Papadimitrakopoulos Nanomaterials Optoelectronics Laboratory University of Connecticut CT Department of Pharmaceutical Sciences University of Connecticut CT Technology Incubation Program University of Connecticut CT Electrical & Computer Engineering University of Connecticut CT Department of Chemistry University of Connecticut CT

Unlike non-invasive and minimally invasive continuous monitoring of glucose (CGM) devices, invasive devices require less rigorous calibration and exhibit smaller subject-to-subject variability. Biorasis, Inc. and the University of Connecticut are developing a totally implantable CGM device. Glucowizzard™ is engineered at the smallest possible footprint (0.5 × 0.5 × 5 mm). This miniaturization is made possible by utilizing light both for powering and wireless communication. In addition, Glucowizzard™ utilizes “smart” hydrogel coatings intended for localized release of various tissue response modifiers for effective control of negative tissue responses. The use of light-based powering and communication together with advanced microelectronic design rules has allowed the fabrication of truly miniaturized CGM device. The drug delivery coating has enabled substantial reduction of negative tissue responses for up to 1 month in small as well as large animals (rats and minipigs). The functionality of Glucowizzard™ has been demonstrated in vivo in both rats and minipigs.

关键词： Sugar Coatings Biosensors Implants Diabetes Rats

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Fully automatic cardiac T2* relaxation time estimation using marker-controlled watershed

Fully automatic cardiac T2* relaxation time estimation using...

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IEEE International Conference on Control System, Computing and engineering (ICCSCE)

作者： Kittichai Wantanajittikul Suwit Saekho Arintaya Phrommintikul Nipon Theera-Umpon Sansanee Auephanwiriyakul Monruedee Tapanya Busakol Ngammuang Biomedical Engineering Program Chiang Mai University Chiang Mai Thailand Department of Electrical Engineering Chiang Mai University Chiang Mai Thailand Department of Radiologic Technology Chiang Mai University Chiang Mai Thailand Department of Computer Engineering Chiang Mai University Chiang Mai Thailand Department of Internal Medicine Chiang Mai University Chiang Mai Thailand

Heart failure due to iron-overload cardiomyopathy is one of the main causes of mortality. The cardiomyopathy is reversible if intensive iron chelation treatment is done in time. However, the diagnosis is often delayed because the cardiac iron deposition is unpredictable and the symptoms are lately detected. The widely used method in many countries is by calculating a parameter called the T2* (T2-star) from magnetic resonance (MR) image sequences. In order to compute the T2* value, the region of interest (ROI) is manually selected by an expert which may require considerable time and skills. The aim of this work is hence to develop the fully automatic cardiac T2* measurement by using marker-controlled watershed for segmenting the interventricular septum in cardiac MR images. Mathematical morphologies are also used to reduce some errors. Moreover, a new approach for T2* evaluation is suggested in this work. The interventricular septa from MR images in all echo times (TE's) are segmented to calculate the signal intensities (SI's) while the classical method segments the interventricular septum only in the first TE. Thirty cardiac MR images were used in this work. The segmentation performances are evaluated only from the MR images in the first TE. The precision and recall are 0.9 and 0.8 compared with the two experts' opinions. It shows that the segmentation results of our proposed technique are quite similar to the experts' opinions. The T2* values were carried out based on the automatically segmented ROI's. The mean difference of T2* values between the proposed method and the experts' opinions is about 1 ms. This demonstrates that the T2* values from the proposed technique are also close to T2* values calculated by the experts.

关键词： Image segmentation Iron Magnetic resonance imaging Morphology Estimation Biomedical engineering Conferences

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Droop control of distributed electric springs for stabilizing future power grid

Droop control of distributed electric springs for stabilizin...

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IEEE General Meeting Power& Energy Society

作者： Chee Kwan Lee Nilanjan Ray Chaudhuri Balarko Chaudhuri Ron Hui Singapore Institute for Neurotechnology Singapore Department of Electrical and Computer Engineering National University of Singapore Singapore National University of Singapore Suzhou Research Institute Suzhou China Large Area Processing Program Singapore Institute of Manufacturing Technology Agency for Science Technology and Research Singapore

This paper describes the droop control method for parallel operation of distributed electric springs for stabilizing ac power grid. It provides a methodology that has the potential of allowing reactive power controllers to work in different locations of the distribution lines of an ac power supply and for these reactive power controllers to support and stabilize the ac mains voltage levels at their respective locations on the distribution lines. The control scheme allows these reactive power controllers to have automatically adjustable voltage references according to the mains voltage levels at the locations of the distribution network. The control method can be applied to reactive power controllers embedded in smart electric loads distributed across the power grid for stabilizing and supporting the ac power supply along the distribution network. The proposed distributed deployment of electric springs is envisaged to become an emerging technology potentially useful for stabilizing power grids with substantial penetration of distributed and intermittent renewable power sources or weakly regulated ac power grid.

关键词： Power grids Reactive power Springs Power supplies Automatic voltage control Electric potential

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Probing Plasmons in Three Dimensions within Random Morphology Nanostructures

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Microscopy and Microanalysis 2015年第S3期21卷 1683-1684页

作者： Jordan Hachtel Anas Mouti Daniel Mayo Claire E. Marvinney Richard Mu Stephen J. Pennycook Andrew R. Lupini Matthew F. Chisholm Richard F. Haglund Sokrates T. Pantelides Vanderbilt University Department of Physics and Astronomy Nashville TNUSA Oak Ridge National Laboratory Materials Science and Technology Division Oak Ridge TNUSA Vanderbilt University Interdisciplinary Materials Science Program Nashville TN USA Fisk University Department of Physics and Astronomy Nashville TNUSA National University of Singapore Department of Materials Science and Engineering Singapore Vanderbilt University Department of Electrical Engineering and Computer Science Nashville TNUSA

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Erratum to: The sponge microbiome project

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GigaScience 2018年第12期7卷 giy145页

作者： Lucas Moitinho-Silva Shaun Nielsen Amnon Amir Antonio Gonzalez Gail L Ackermann Carlo Cerrano Carmen Astudillo-Garcia Cole Easson Detmer Sipkema Fang Liu Georg Steinert Giorgos Kotoulas Grace P McCormack Guofang Feng James J Bell Jan Vicente Johannes R Björk Jose M Montoya Julie B Olson Julie Reveillaud Laura Steindler Mari-Carmen Pineda Maria V Marra Micha Ilan Michael W Taylor Paraskevi Polymenakou Patrick M Erwin Peter J Schupp Rachel L Simister Rob Knight Robert W Thacker Rodrigo Costa Russell T Hill Susanna Lopez-Legentil Thanos Dailianis Timothy Ravasi Ute Hentschel Zhiyong Li Nicole S Webster Torsten Thomas Centre for Marine Bio-Innovation and School of Biological Earth and Environmental Sciences The University of New South Wales Sydney 2052 Australia. Department of Pediatrics University of California - San Diego La Jolla CA 92093 USA. Department of Life and Environmental Sciences Polytechnic University of Marche Ancona 60131 Italy. School of Biological Sciences University of Auckland Auckland New Zealand. Halmos College of Natural Sciences and Oceanography Nova Southeastern University Dania Beach FL 33004 USA. Wageningen University Laboratory of Microbiology Stippeneng 4 6708 WE Wageningen The Netherlands. State Key Laboratory of Microbial Metabolism and School of Life Sciences and Biotechnology Shanghai Jiao Tong University Shanghai 200240 P.R. China. Hellenic Centre for Marine Research Institute of Marine Biology Biotechnology and Aquaculture Thalassocosmos 71500 Heraklion Greece. Zoology School of Natural Sciences Ryan Institute National University of Ireland Galway University Rd. Galway Ireland. School of Biological Sciences Victoria University of Wellington Wellington New Zealand. Hawaii Institute of Marine Biology 46-007 Lilipuna Road Kaneohe HI 96744-1346. Galvin Life Science Center University of Notre Dame Notre Dame IN 46556 USA. Ecological Networks and Global Change Group Theoretical and Experimental Ecology Station CNRS and Paul Sabatier University Moulis France. Department of Biological Sciences University of Alabama Tuscaloosa AL 35487 USA. INRA UMR1309 CMAEE Cirad UMR15 CMAEE 34398 Montpellier France. Department of Marine Biology Leon H. Charney School of Marine Sciences University of Haifa Haifa Israel. Australian Institute of Marine Science (AIMS) Townsville 4810 Queensland Australia. Department of Zoology George S. Wise Faculty of Life Sciences Tel Aviv University Tel Aviv 69978 Israel. Department of Biology and Marine Biology University of North Carolina Wilmington Wilmington NC 28409 USA. Institute for Chemistry and Biolog

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Towards autonomous navigation of unsignalized intersections under uncertainty of human driver intent

Towards autonomous navigation of unsignalized intersections ...

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IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： V. Sezer T. Bandyopadhyay D. Rus E. Frazzoli D. Hsu Department of Mechanical Engineering Istanbul Technical University Istanbul Turkey Tirthankar Bandyopadhyay is with Autonomous Systems Program Commonwealth Scientific and Industrial Research Organization Australia Daniela Rus and Emilio Frazzoli are with the Department of Electri-cal&Engineering and Aeronautics&Astronautic respectively Massachusetts Institute of Technology USA Department of Computer Science National University of Singapore Singapore

In a mixed environment of autonomous driverless vehicles and human driven vehicles operating on the same road, identifying intentions of human drivers and interacting with them in a compliant and responsible manner becomes a challenging problem for the driverless vehicles. In this paper, the problem of vehicle interaction at an intersection merging scenario is formulated as an Intention-Aware motion planning problem using the tools from Mixed Observability Markov Decision Process (MOMDP). We utilize the tools from recent intention aware planning framework to demonstrate a merging behavior in the presence of human drivers by trying to infer and act according to the intentions of the human drivers. A driver behavior model for T-junction intersections is developed in order to calculate the probabilistic state transition functions of the MOMDP model. With proposed solution, it is demonstrated that using intention aware planning improves performance in comparison to present time to merge approach by lowering accident probability and intersection navigation duration. The proposed method is tested on a real autonomous vehicle (AV) in the presence of human driven vehicles to validate our approach.

关键词： Vehicles Navigation Mobile robots Roads Hidden Markov models Uncertainty

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Correction: Liquid-capped encoded microcapsules for multiplex assays

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Lab on a chip 2017年第4期17卷 738页

作者： Younghoon Song Yunjin Jeong Taehong Kwon Daewon Lee Dong Yoon Oh Tae-Joon Park Junhoi Kim Jiyun Kim Sunghoon Kwon Institutes of Entrepreneurial BioConvergence Seoul National University Seoul 151-742 Republic of Korea. skwon@snu.ac.kr and Department of Electrical and Computer Science Seoul National University Seoul 151-742 Republic of Korea. Institutes of Entrepreneurial BioConvergence Seoul National University Seoul 151-742 Republic of Korea. skwon@snu.ac.kr and Interdisciplinary Program of Bioengineering Seoul National University Seoul 151-742 Republic of Korea. Nano Systems Institute Seoul National University Seoul 151-742 Republic of Korea. Department of Materials Science and Engineering Ulsan National Institute of Science and Technology Ulsan 44919 Republic of Korea. Institutes of Entrepreneurial BioConvergence Seoul National University Seoul 151-742 Republic of Korea. skwon@snu.ac.kr and Department of Electrical and Computer Science Seoul National University Seoul 151-742 Republic of Korea and Interdisciplinary Program of Bioengineering Seoul National University Seoul 151-742 Republic of Korea and Nano Systems Institute Seoul National University Seoul 151-742 Republic of Korea and Seoul National University Hospital Biomedical Research Institute Seoul National University Hospital Seoul 151-742 Republic of Korea and Quantamatrix Inc. Seoul 151-742 Republic of Korea.

Correction for 'Liquid-capped encoded microcapsules for multiplex assays' by Younghoon Song et al., Lab Chip, 2017, DOI: .

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Think-pair-share in a large CS1 class: Does learning really happen? 14

Think-pair-share in a large CS1 class: Does learning really ...

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2014 Innovation and technology in computer Science Education Conference, ITICSE 2014

作者： Kothiyal, Aditi Murthy, Sahana Iyer, Sridhar Inter-Disciplinary Program in Educational Technology IIT Bombay India Department of Computer Science and Engineering IIT Bombay India

ISBN: (纸本)9781450328333

Think-pair-share (TPS) is a classroom active learning strategy in which students work on activities, first individually, then in pairs and finally as the whole class. TPS allows students to express their reasoning, reflect on their understanding and obtain prompt feedback on their learning. While TPS is recommended to foster classroom engagement and learning, there is a lack of research based evidence in computer science education on the benefits of TPS for learning. In this study, we investigate the learning effectiveness of TPS in a CS1 course. We performed a quasiexperimental study and found that students who learned via TPS performed significantly better on a post-test than students who learned the same concept via lecture. We also conducted a survey and focus group interviews to understand student perceptions of learning with TPS. The majority of students agreed that TPS activities helped improve their conceptual understanding. From an instructor's point of view, TPS was useful to address the challenges of a large class, such as students tuning out or getting distracted and was easy to implement even in a large class. © 2014 ACM.

关键词： Students

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Proceedings of the 23rd Paediatric Rheumatology European Society Congress: part three Abstracts

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PEDIATRIC RHEUMATOLOGY 2017年第1期15卷 203-259页

作者： [Anonymous] Pediatria II Reumatologia Istituto Giannina Gaslini Genoa Italy Radiologia Istituto Giannina Gaslini Genoa Italy University of Trieste Trieste Italy Division of Rheumatology Ospedale Pediatrico Bambino Gesù IRCCS Roma Italy Institute for Maternal and Child Health - IRCCS “Burlo Garofolo” Trieste Italy Pediatric Rheumatology Uludag University Medical Faculty Bursa Turkey Department of Pediatrics Nippon Medical School Tokyo Japan Division of Physiotherapy and Rehabilitaiton Faculty of Health Sciences Istanbul University Istanbul Turkey Department of Computer Engineering Gebze Institute of Technology Kocaeli Turkey Department of Pediatric Rheumatology Medical Faculty of Cerrahpasa Istanbul University Istanbul Turkey Department of Paediatric Rheumatology and Psychology Alder Hey Children’s NHS Foundation Trust Liverpool UK Department of Women’s and Children’s Health Institute of Translational Medicine Liverpool UK UK Experimental Arthritis Treatment Centre for Children University of Liverpool Liverpool UK Rheumatology Hospital for Sick Children Toronto Canada Pediatrics University of Toronto Toronto Canada Child Evaluative Health Sciences The Hospital for Sick Children Toronto Canada Lawrence S. Bloomberg Faculty of Medicine University of Toronto Toronto Canada Psychology University of Kansas Medical Center Lawrence USA Rheumatology IWK Health Center Halifax Canada Rheumatology Alberta children’s Hospital Calgary Canada Ingram School of Nursing Mcgill University Montreal Canada Child Health Evaluative Sciences Hospital for Sick Children Toronto Canada Rheumatology Children’s Hospital of Western Ontario London Canada Rheumatology CHU Ste-Justine Montreal Canada Rheumatology Montreal Children’s Hospital Montreal Canada Pediatrics Memorial University of Newfoundland St John’s Canada Pediatrics Children’s Hospital of Eastern Ontario Ottawa Canada Research Innovation and Knowledge Translation IWK Health Center Halifax Canada Pediatrics

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