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European Conference on Radiation and its Effects on Components and Systems (RADECS)

作者： Shweta Bhandaru En Xia Zhang Daniel M. Fleetwood Robert A. Reed Robert A. Weller Sharon M. Weiss Interdisciplinary Graduate Program in Material Science Vanderbilt University Nashville TN USA Department of Electrical Engineering and Computer Science Vanderbilt University Nashville TN USA

Enhanced rates of oxide growth have been observed on silicon when exposed to high-energy x-ray irradiation. This observed effect could potentially be utilized for remote total ionizing dose-sensing applications.

关键词： Silicon Radiation effects Oxidation Atomic measurements Temperature measurement Optical sensors Atomic layer deposition

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Improving node localization in WSN by using obstruction level indicator

Improving node localization in WSN by using obstruction leve...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Salvador Jauregui-Ortiz Mario Siller Felix Ramos Edson Escalabrin Electrical Engineering and Computer Science Department Center of Research and Advanced Studies Guadalajara Jalisco Mexico Graduate Program in Computer Science Pontifical Catholic University of Parana Brazil Curitiba Parana Brazil

Wireless sensor networks can be used in habitat monitoring for detecting fire, in disaster for helping rescue teams and in agriculture for sensing humidity. Node localization is essential for some important sensor network applications. Despite the high relative accuracy of some localization algorithms, node localization is still an opened research area, due to the physical phenomena such as attenuation, reflection, diffraction, scattering and so forth. The current developed algorithms have different accuracy when are tested under dissimilar environments. We propose to use Smart Beacon Nodes (SBNs) to infer the Obstruction Level Indicator over an occupied area, then, use this indicator for estimating the distance among nodes. In our experimental simulation, SBNs decrease the node localization error of Triangular Centroid Localization and Weighted Centroid Localization up to 18%.

关键词： Accuracy Wireless sensor networks Estimation Testing Attenuation Databases Radar

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SOI TFET $I_{\rm ON}/I_{\rm OFF}$ Enhancement via Back Biasing

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IEEE Transactions on Electron Devices 2011年第10期58卷 3283-3285页

作者： Alex Guo Peter Matheu Tsu-Jae King Liu University of California Berkeley CA USA Applied Science & Technology Graduate Program University of California Berkeley CA USA Department of Electrical Engineering and Computer Sciences University of California Berkeley CA USA

The effect of back biasing on the performance of a planar tunnel field-effect transistor (TFET) implemented on a silicon-on-insulator substrate is investigated. It is found that reverse back biasing reduces the subthreshold swing SS and increases the range of drain current over which SS is less than ( k B T / q ) ln (10); hence, it is effective for improving the TFET on/off current ratio for low operating voltages (≤ 0.5 V).

关键词： Logic gates Tunneling Doping Transistors Silicon Photonic band gap Junctions

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282

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Cytokine 2013年第3期63卷 310-310页

作者： Elia D. Tait Wojno Mario Noti Brian S. Kim Mark C. Siracusa Paul R. Giacomin Meera G. Nair Alain J. Benitez Kathryn R. Ruymann Amanda B. Muir David A. Hill Kudakwashe R. Chikwava Amin E. Moghaddam Quentin J. Sattentau Aneesh Alex Chao Zhou Paul Menard-Katcher Masato Kubo Kazushige Obata-Ninomiya Hajime Karasuyama Michael R. Comeau David Artis Department of Microbiology University of Pennsylvania Philadelphia PA USA Institute for Immunology Perelman School of Medicine University of Pennsylvania Philadelphia PA USA Queensland Tropical Health Alliance and School of Public Health and Tropical Medicine James Cook University Cairns Australia Division of Gastroenterology Hepatology and Nutrition Children’s Hospital of Philadelphia Philadelphia PA USA Department of Pediatrics Division of Allergy and Immunology Children’s Hospital of Philadelphia Philadelphia PA USA Department of Pathology and Laboratory Medicine Children’s Hospital of Philadelphia Philadelphia PA USA The Sir William Dunn School of Pathology The University of Oxford Oxford UK Department of Electrical and Computer Engineering Lehigh University Bethlehem PA USA Center for Photonics and Nanoelectronics Lehigh University BethlehemPA USA Bioengineering Program Lehigh University Bethlehem PA USA Division of Gastroenterology Hospital of the University of Pennsylvania Philadelphia PA USA Laboratory for Signal Network Research Center for Allergy and Immunology RIKEN Yokohama Institute Yokohama Japan Division of Molecular Pathology Research Institute for Biological Science Tokyo University of Science Chiba Japan Department of Immune Regulation Tokyo Medical and Dental University Graduate School Tokyo Japan JST CREST Tokyo Medical and Dental University Graduate School Tokyo Japan Inflammation Research Amgen Inc. Seattle WA USA Department of Pathobiology School of Veterinary Medicine University of Pennsylvania Philadelphia PA USA

Eosinophilic esophagitis (EoE) is a food allergy-associated disease characterized by esophageal eosinophilia and associated inflammation. EoE has become increasingly common in industrialized countries. However, current management strategies, such as treatment with swallowed steroids and dietary restrictions, are nonspecific or negatively impact the quality of life of EoE patients. In addition, use of more specific therapies that target immunoglobulin E (IgE) and interleukin (IL)-5 have been largely unsuccessful in ameliorating EoE. Thus, there is an urgent need to identify novel, specific immunological pathways that underlie the pathogenesis of EoE that could be targeted to treat this disease. Recently, a genome-wide association study identified that EoE is associated with a gain-of-function polymorphism in the gene that encodes thymic stromal lymphopoietin (TSLP). TSLP is an IL-7 family member cytokine that promotes allergic inflammation by eliciting T helper type 2 cytokine responses, IgE production, and the expansion of a distinct population of basophils . However, whether TSLP directly promotes allergic inflammation in the esophagus and the mechanisms by which TSLP might contribute to the pathogenesis of EoE remain unknown. Here, we describe a new murine model of experimental EoE-like disease that was used to investigate the role of TSLP in allergic inflammation of the esophagus. Murine experimental EoE-like disease developed independently of IgE but was dependent on TSLP-elicited basophils. Critically, therapeutic antibody-mediated neutralization of TSLP or depletion of basophil populations ameliorated established EoE-like disease in mice. Finally, elevated TSLP levels and exaggerated basophil responses were observed in esophageal biopsies from EoE patients, and a gain-of-function polymorphism in TSLP correlated with increased basophil responses in patients with EoE. Together, these data indicate that TSLP-elicited basophil responses may play a key role in medi

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Phosphors as sensors for radiation-induced displacement damage

Phosphors as sensors for radiation-induced displacement dama...

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Future of Instrumentation International Workshop (FIIW)

作者： S.L. Gollub S. Weeden-Wright D.G. Walker Interdisciplinary Graduate Program in Materials Science Vanderbilt University Nashville TN USA Electrical and Computer Engineering Vanderbilt University Nashville TN USA Mechanical Engineering Vanderbilt University Nashville TN USA

Because of their luminescent properties, phosphors make excellent candidates for radiation detectors. The materials are inclined to luminesce when exposed to a variety of radiation sources including gammas, protons, alphas and so forth. However, the vast majority of research and use of phosphors as radiation sensors are as scintillators-when luminescence spontaneously occurs due to the incident radiation. In this case, incident radiation promotes electrons to excited levels. The excited electrons subsequently decay to produce photons that can be detected. The luminescence is therefore a result of ionizing radiation.

关键词： Materials Phosphors Radiation effects Particle beams Photoluminescence Protons Lattices

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Responses of human fetal mesenchymal stem cells to various poly(Ε-caprolactone) films: A comparison study

Responses of human fetal mesenchymal stem cells to various p...

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2011 Defense Science Research Conference and Expo, DSR 2011

作者： Wang, Zu-Yong Jing, Lim Zhang, Qin-Yuan Teo, Erin Y. Chan, Jerry Hong, Ming-Hui Wen, Feng Teoh, Swee-Hin Department of Mechanical Engineering National University of Singapore Singapore Department of Obstetrics and Gynaecology National University of Singapore Singapore Department of Reproductive Medicine KK Women's and Children's Hospital Singapore Cancer and Stem Cell Biology Program Duke-NUS Graduate Medical School Singapore Department of Electrical and Computer Engineering National University of Singapore Singapore School of Material Science and Engineering Nanyang Technology University Singapore National University of Singapore Singapore

ISBN: (纸本)9781424492763

Poly(Ε-caprolactone) (PCL) films have been applied for vascular tissue engineering. However, few studies studied the effects of fabrication process of PCL film on vascular cell proliferation. In this study, we used different processing methods, incorporating stretching, to fabricate various PCL films. Thickness of films before and after stretch and proliferation ability of human fetal mesenchymal stem cells (hfMSCs) on these films were investigated. Our results showed that stretching significantly reduces the thickness of solvent cast, heat press and cast stretch films (0.22, 0.59, 0.60, p

关键词： Cell proliferation

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Structure and magnetic properties characterization of electrodeposited Co37Fe63 alloys containing oxygen for magnetic recording applications

Structure and magnetic properties characterization of electr...

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作者： Elhalawaty, S. Carpenter, R.W. George, J. Brankovic, S.R. Materials Science and Engineering Graduate Program School for Engineering of Matter Transport and Energy Arizona State University 85287-6106 United States LeRoy Eyring Center for Solid State Science Arizona State University AZ 85287-9506 United States Center for Nanomagnetic Systems University of Houston TX 77204-4005 United States Electrical and Computer Engineering Department University of Houston TX 77204-4005 United States

ISBN: (纸本)9781118029473

Soft and high magnetic moment Co37Fe63 films were electro-deposited with variable additives on Cu/Ti/Si substrates. The correlation between structure and magnetic properties has been investigated. TEM showed the crystal structure of the films to be BCC with a 〈111〉 texture, and a grain size in the range of 10-20 nm. Oxygen in the deposited films has been identified by EDS and EELS using HAADF STEM. SIMS analysis revealed the presence of hydrogen and oxygen in the deposited CoFe films. Electron microscopy results showed that the oxygen was mainly distributed along the grain boundaries in the CoFe film. In regions where oxygen was present in the films, the Fe content was enhanced relative to Co. The magnetic properties of the deposits have been measured by Vibrating Sample Magnetometer (VSM), quantifying the impact of incorporated oxygen in the film on the saturation magnetization and the coercivity.

关键词： Magnetic properties

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Fuzzy granular evolving modeling for time series prediction

Fuzzy granular evolving modeling for time series prediction

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Daniel Leite Fernando Gomide Rosangela Ballini Pyramo Costa School of Electrical and Computer Engineering State University of Campinas-UNICAMP Sao Paulo Brazil Institute of Economics State University of Campinas-UNICAMP Sao Paulo Brazil Graduate Program in Electrical Engineering Pontifical Catholic University of Minas Gerais Belo Horizonte Minas Gerais Brazil

Modeling large volumes of flowing data from complex systems motivates rethinking several aspects of the machine learning theory. Data stream mining is concerned with extracting structured knowledge from spatio-temporally correlated data. A profusion of systems and algorithms devoted to this end has been constructed under the conceptual framework of granular computing. This paper outlines a fuzzy set based granular evolving modeling FBeM approach for learning from imprecise data. Granulation arises because modeling uncertain data dispenses attention to details. The evolving aspect is fundamental to account endless flows of nonstationary data and structural adaptation of models. Experiments with classic Box-Jenkins and Mackey-Glass benchmarks as well as with actual Global40 bond data suggest that the FBeM approach outperforms alternative approaches.

关键词： Time series analysis Data models Adaptation models Approximation methods Pragmatics Uncertainty Fuzzy systems

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Optimization of defect hole placement in resonant cavities

Optimization of defect hole placement in resonant cavities

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作者： Kang, Christopher Weiss, Sharon M. Vlasov, Yurii A. Assefa, Solomon Interdisciplinary Graduate Program in Materials Science Vanderbilt University Nashville TN 37235 United States Department of Physics and Astronomy Vanderbilt University Nashville TN 37235 United States Department of Electrical Engineering and Computer Science Vanderbilt University 37235 United States IBM T.J. Watson Research Center Yorktown Heights NY 10536 United States

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： Photonic crystals

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Complex-valued functional link network design by orthogonal least squares method for function approximation problems

Complex-valued functional link network design by orthogonal ...

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International Joint Conference on Neural Networks (IJCNN)

作者： Md. Faijul Amin Ramasamy Savitha Muhammad Ilias Amin Kazuyuki Murase Department of Systems Design Engineering Graduate School of Engineering University of Fukui Fukui Japan School of Electrical and Electronics Engineering Nanyang Technological University Singapore Department of Computer Science and Engineering United International University Dhaka Bangladesh Research and Education Program for Life Science University of Fukui Fukui Japan

This paper presents a fully complex-valued functional link network (CFLN). The CFLN is a single-layered neural network, which introduces nonlinearity in the input layer using nonlinear functions of the original input variables. In this study, we consider multivariate polynomials as the nonlinear functions. Unlike multilayer neural networks, the CFLN is free from local minima problem, and it offers very fast learning in parameters because of its linear structure. In the complex domain, polynomial based CFLN has an additional advantage of not requiring activation functions, which is a major concern in the complex-valued neural networks. However, it is important to select a smaller subset of polynomial terms (monomials) for faster and better performance, since the number of all possible monomials may be quite large. In this paper, we use the orthogonal least squares method in a constructive fashion (starting from lower degree to higher) for the selection of a parsimonious subset of monomials. Simulation results demonstrate that computing CFLN in purely complex domain is advantageous than in double-dimensional real domain, in terms of number of connection parameters, faster design, and possibly generalization performance. Moreover, our proposed CFLN compares favorably with several other multilayer networks in the complex domain.

关键词： Polynomials Nonhomogeneous media Educational institutions Algorithm design and analysis Function approximation Neural networks Input variables

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