RNA

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Ribonucleic acid, or RNA, is one of the three major macromolecules that are essential for all known forms of life. Like DNA, RNA is made up of a long chain of components called nucleotides. (Wikipedia.org)






Conferences related to RNA

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2019 IEEE Pulsed Power & Plasma Science (PPPS)

Combined conference of the IEEE International Conference on Plasma Science and the IEEE International Pulsed Power Conference


2018 13th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

HRI is a highly selective annual conference that showcases the very best research and thinking in human-robot interaction. HRI is inherently interdisciplinary and multidisciplinary, reflecting work from researchersin robotics, psychology, cognitive science, HCI, human factors, artificial intelligence, organizational behavior,anthropology, and many other fields.

  • 2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    HRI is a highly selective annual conference that showcases the very best research and thinking in human-robot interaction. HRI is inherently interdisciplinary and multidisciplinary, reflecting work from researchers in robotics, psychology, cognitive science, HCI, human factors, artificial intelligence, organizational behavior, anthropology, and many other fields.

  • 2017 12th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    The conference serves as the primary annual meeting for researchers in the field of human-robot interaction. The event will include a main papers track and additional sessions for posters, demos, and exhibits. Additionally, the conference program will include a full day of workshops and tutorials running in parallel.

  • 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    This conference focuses on the interaction between humans and robots.

  • 2015 10th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    HRI is a single -track, highly selective annual conference that showcases the very bestresearch and thinking in human -robot interaction. HRI is inherently interdisciplinary and multidisciplinary,reflecting work from researchers in robotics, psychology, cognitive science, HCI, human factors, artificialintelligence, organizational behavior, anthropology, and many other fields.

  • 2014 9th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    HRI is a highly selective annual conference that showcases the very best research and thinking in human -robot interaction. HRI is inherently interdisciplinary and multidisciplinary, reflecting work from researchers in robotics, psychology, cognitive science, HCI, human factors, artificial intelligence, organizational behavior, anthropology, and many other fields.

  • 2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    HRI is a single -track, highly selective annual conference that showcases the very best research and thinking in human-robot interaction. HRI is inherently interdisciplinary and multidisciplinary, reflecting work from researchers in robotics, psychology, cognitive science, HCI, human factors, artificial intelligence, organizational behavior, anthropology, and many other fields.

  • 2012 7th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    HRI is a single-track, highly selective annual conference that showcases the very best research and thinking in human-robot interaction. HRI is inherently interdisciplinary and multidisciplinary, reflecting work from researchers in robotics, psychology, cognitive science, HCI, human factors, artificial intelligence, organizational behavior, anthropology, and many other fields.

  • 2011 6th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    Robot companions Lifelike robots Assistive (health & personal care) robotics Remote robots Mixed initiative interaction Multi-modal interaction Long-term interaction with robots Awareness and monitoring of humans Task allocation and coordination Autonomy and trust Robot-team learning User studies of HRI Experiments on HRI collaboration Ethnography and field studies HRI software architectures HRI foundations Metrics for teamwork HRI group dynamics.

  • 2010 5th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    TOPICS: Robot companions, Lifelike robots, Assistive (health & personal care) robotics, Remote robots, Mixed initiative interaction, Multi-modal interaction, Long-term interaction with robots, Awareness and monitoring of humans, Task allocation and coordination, Autonomy and trust, Robot-team learning, User studies of HRI, Experiments on HRI collaboration, Ethnography and field studies, HRI software architectures

  • 2009 4th ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    * Robot companions * Lifelike robots * Assistive (health & personal care) robotics * Remote robots * Mixed initiative interaction * Multi-modal interaction * Long-term interaction with robots * Awareness and monitoring of humans * Task allocation and coordination * Autonomy and trust * Robot-team learning * User studies of HRI * Experiments on HRI collaboration * Ethnography and field studies * HRI software architectures

  • 2008 3rd ACM/IEEE International Conference on Human-Robot Interaction (HRI)

    Robot companions Lifelike robots Assistive (health & personal care) robotics Remote robots Mixed initiative interaction Multi-modal interaction Long-term interaction with robots Awareness and monitoring of humans Task allocation and coordination Autonomy and trust Robot-team learning User studies of HRI Experiments on HRI collaboration Ethnography and field studies HRI software architectures HRI foundations Metrics for teamwork HRI group dynamics Individual vs. group HRI

  • 2007 2nd Annual Conference on Human-Robot Interaction (HRI)


2018 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)

Circuits and Systems, Computers, Information Technology, Communication Systems, Control and Instrumentation, Electrical Power Systems, Power Electronics, Signal Processing


2018 24th International Conference on Pattern Recognition (ICPR)

ICPR will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields

  • 2016 23rd International Conference on Pattern Recognition (ICPR)

    ICPR'2016 will be an international forum for discussions on recent advances in the fields of Pattern Recognition, Machine Learning and Computer Vision, and on applications of these technologies in various fields.

  • 2014 22nd International Conference on Pattern Recognition (ICPR)

    ICPR 2014 will be an international forum for discussions on recent advances in the fields of Pattern Recognition; Machine Learning and Computer Vision; and on applications of these technologies in various fields.

  • 2012 21st International Conference on Pattern Recognition (ICPR)

    ICPR is the largest international conference which covers pattern recognition, computer vision, signal processing, and machine learning and their applications. This has been organized every two years by main sponsorship of IAPR, and has recently been with the technical sponsorship of IEEE-CS. The related research fields are also covered by many societies of IEEE including IEEE-CS, therefore the technical sponsorship of IEEE-CS will provide huge benefit to a lot of members of IEEE. Archiving into IEEE Xplore will also provide significant benefit to the all members of IEEE.

  • 2010 20th International Conference on Pattern Recognition (ICPR)

    ICPR 2010 will be an international forum for discussions on recent advances in the fields of Computer Vision; Pattern Recognition and Machine Learning; Signal, Speech, Image and Video Processing; Biometrics and Human Computer Interaction; Multimedia and Document Analysis, Processing and Retrieval; Medical Imaging and Visualization.

  • 2008 19th International Conferences on Pattern Recognition (ICPR)

    The ICPR 2008 will be an international forum for discussions on recent advances in the fields of Computer vision, Pattern recognition (theory, methods and algorithms), Image, speech and signal analysis, Multimedia and video analysis, Biometrics, Document analysis, and Bioinformatics and biomedical applications.

  • 2002 16th International Conference on Pattern Recognition


2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


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Periodicals related to RNA

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Biomedical Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...


Computational Biology and Bioinformatics, IEEE/ACM Transactions on

Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; ...


Computer

Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.


Computers, IEEE Transactions on

Design and analysis of algorithms, computer systems, and digital networks; methods for specifying, measuring, and modeling the performance of computers and computer systems; design of computer components, such as arithmetic units, data storage devices, and interface devices; design of reliable and testable digital devices and systems; computer networks and distributed computer systems; new computer organizations and architectures; applications of VLSI ...


Electron Devices, IEEE Transactions on

Publishes original and significant contributions relating to the theory, design, performance and reliability of electron devices, including optoelectronics devices, nanoscale devices, solid-state devices, integrated electronic devices, energy sources, power devices, displays, sensors, electro-mechanical devices, quantum devices and electron tubes.


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Xplore Articles related to RNA

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A design procedure for three-stage operational amplifier using indirect compensation technique

[{u'author_order': 1, u'affiliation': u'HCMC University of Information Technology, Vietnam', u'full_name': u'Son T. Nguyen'}, {u'author_order': 2, u'affiliation': u'HCMC University of Science, Vietnam', u'full_name': u'Tu T. Bui'}] 2014 International Conference on Advanced Technologies for Communications (ATC 2014), None

This paper presents a design procedure for the operational amplifier (Opamp) using indirect compensation technique. It provides a step-by-step guideline for designing an operational amplifier. Then a three-stage Opamp has been designed as an example. This Opamp achieves an open loop gain above 90dB, 70MHz gain-bandwidth product (GBW) and 68° phase margin (PM) at large capacitive load CL of 30pF ...


MMC-margin: Identification of maximum frequent subgraphs by metropolis Monte Carlo sampling

[{u'author_order': 1, u'affiliation': u'Purdue University, Dept. of Biological Sciences, 240 S. Martin Jischke Drive, West Lafayette, IN, USA 47907-1971', u'full_name': u'Muyi Liu'}, {u'author_order': 2, u'affiliation': u'Purdue University, Depts. Of Biological Sciences and Computer Science (by courtesy) 240 S. Martin Jischke Drive, West Lafayette, IN, USA 47907-1971', u'full_name': u'Michael Gribskov'}] 2015 IEEE International Conference on Big Data (Big Data), None

Frequent Subgraph Mining is important in many scientific fields including molecular biology, genomics, and chemistry. Graphs are used to represent specific structures, and by finding common subgraphs one can infer common properties. Identification of maximum frequent subgraphs, therefore, provides an approach to reveal hidden knowledge shared among graphs, and classify graphs into informative categories. Most existing algorithms explicitly explore the ...


Analysis and design of a versatile synthetic network for inducible gene expression in mammalian systems

[{u'author_order': 1, u'affiliation': u"Department of Engineering Mathematics, University of Bristol, Queen's Building, University Walk, Bristol BS8 1TR, United Kingdom", u'full_name': u'A. Polynikis'}, {u'author_order': 2, u'affiliation': u'Telethon Institute of Genetics and Medicine (TIGEM), Naples 80131, Italy', u'full_name': u'G. Cuccato'}, {u'author_order': 3, u'affiliation': u'Telethon Institute of Genetics and Medicine (TIGEM), Naples 80131, Italy', u'full_name': u'S. Criscuolo'}, {u'author_order': 4, u'affiliation': u"Department of Engineering Mathematics, University of Bristol, Queen's Building, University Walk, Bristol BS8 1TR, United Kingdom", u'full_name': u'S. J. Hogan'}, {u'author_order': 5, u'affiliation': u"Department of Engineering Mathematics, University of Bristol, Queen's Building, University Walk, Bristol BS8 1TR, United Kingdom", u'full_name': u'M. di Bernardo'}, {u'author_order': 6, u'affiliation': u'Telethon Institute of Genetics and Medicine (TIGEM), Naples 80131, Italy', u'full_name': u'D. di Bernardo'}] 2010 Biomedical Circuits and Systems Conference (BioCAS), None

This paper presents a mathematical model for a novel synthetic gene regulatory network. The aim of this circuit is to behave as a bistable switch for in vivo delivery of short hairpin RNA (shRNA) which can induce RNA interference (RNAi) of a target mRNA. Through the mathematical analysis performed here, it will be shown how the circuit can be controlled ...


Electric Power Forecasting Methodologies of Some South American Countries: A Comparative Analysis

[{u'author_order': 1, u'full_name': u'Tesoro Elena Del Carpio Huayllas'}, {u'author_order': 2, u'full_name': u'Dorel Soares Ramos'}] IEEE Latin America Transactions, 2010

In this paper, a comparative analysis of the electric power long-term forecasting methodologies, used in some South American countries, is presented. The purpose of this study is to compare and observe if such methodologies have some similarities, and also examine the behavior of the results when they are applied to the Brazilian electricity market. The above mentioned forecasts were performed ...


Adjustable load-modulation asymmetric Doherty amplifier design using nonlinear embedding

[{u'author_order': 1, u'affiliation': u'Ohio State Univ., Columbus, OH, USA', u'full_name': u'Haedong Jang'}, {u'author_order': 2, u'affiliation': u'Ohio State Univ., Columbus, OH, USA', u'full_name': u'Patrick Roblin'}, {u'author_order': 3, u'affiliation': u'Ohio State Univ., Columbus, OH, USA', u'full_name': u'Christophe Quindroit'}] 2014 IEEE MTT-S International Microwave Symposium (IMS2014), None

We developed a new asymmetric Doherty load modulation matching network using identical transistors for the main and auxiliary amplifiers. Asymmetric Doherty power amplifiers (PA) require a larger size transistor for the auxiliary PA than for the main PA to provide the higher power and wider load modulation range. Additional impedance transformers are introduced to alleviate this requirement when using identical ...


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Educational Resources on RNA

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IEEE-USA E-Books

  • Introduction to Power Electronics and Motor Control

  • Prediction of RNA Binding Sites in Proteins

    In this chapter, the authors provide an introduction for the prediction of RNA binding sites in proteins by machine learning algorithms, such as neural network (NN), naive Bayes (NB), support vector machines (SVM), and random forest (RF). On the basis of these classification methods, one can identify the RNA binding sites of proteins by various features underlying the interaction. Here, the authors mainly describe the protocols of predicting RNA binding sites in proteins by feature based machine learning methods. The available protein-RNA complexes from the Protein Data Bank (PDB) are selected to build the data source and define the binding sites in proteins. Here, the authors also compare these features and those of the existing methods. In particular, they identify the importance of each feature in determining the specificity of protein-RNA interaction, as well as the contribution of various hybrid features in the prediction.



Standards related to RNA

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