Conferences related to Biological interactions

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2021 IEEE Pulsed Power Conference (PPC)

The Pulsed Power Conference is held on a biannual basis and serves as the principal forum forthe exchange of information on pulsed power technology and engineering.


2020 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting

The joint meeting is intended to provide an international forum for the exchange of information on state of the art research in the area of antennas and propagation, electromagnetic engineering and radio science


2020 42nd Annual International Conference of the IEEE Engineering in Medicine & 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


2020 59th IEEE Conference on Decision and Control (CDC)

The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.


2020 IEEE International Conference on Plasma Science (ICOPS)

IEEE International Conference on Plasma Science (ICOPS) is an annual conference coordinated by the Plasma Science and Application Committee (PSAC) of the IEEE Nuclear & Plasma Sciences Society.


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Periodicals related to Biological interactions

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Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


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 ...


Biomedical Engineering, IEEE Reviews in

The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


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Most published Xplore authors for Biological interactions

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Xplore Articles related to Biological interactions

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Identification of an agent interaction network

Proceedings of the 2010 American Control Conference, 2010

Knowledge of some particular fact, subject, or event is conveyed among disparate agents affecting their respective activities and, in turn, the generation of new information. The author's main objective is to reconstruct the flow of information in the form of a weighted digraph, based on data that reflect agent activities. Embarking from the principles of maximum entropy, the author casts ...


Biological interaction between man and machine

Proceedings of the 1997 IEEE/RSJ International Conference on Intelligent Robot and Systems. Innovative Robotics for Real-World Applications. IROS '97, 1997

The purpose of this study is to develop a human-friendly communication tool between a man and a machine. In most of conventional communication tools, humans have control of the machine; however, we believe that the future machine should be able to sense the operator's behavior or intention in order to function. Therefore, focusing on the operator's "biological signals", we attempt ...


Improving Accuracy of Discovered Knowledge through Direct Interaction and Cohesion-based Framework: A Study in Cell Cycle Data of Yeast

2009 Seventh International Conference on Advances in Pattern Recognition, 2009

Association mining tasks, when put to microarray data, normal trend is to highlight amount of discovered knowledge while quality analysis goes to backseat. Ideally, two more information is equally important: a) accuracy of knowledge extracted in a rule with respect to known biological functions, and b) predictability of biological interactions from discovered rules. Most of the support and/or confidence-based techniques ...


High-resolution biosensor spectral peak shift estimation

The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003, 2003

In this work we present a maximum likelihood (ML) approach to high-resolution estimation of the shifts of a spectral signal. This spectral signal arises in application of optically-based resonant biosensors, where high-resolution in the estimation of signal shift is synonymous with high-sensitivity to biological interactions. The underlying signal is nonuniformly sampled and exhibits Poisson noise statistics. Shift estimation accuracies orders ...


Detection of Receptor-Ligand Interactions With an GHz Impedance Biosensor System

IEEE Sensors Journal, 2007

Nanogap impedance biosensors with an electrode separation of 75 nm have been used for the specific detection of biological interactions. Different model systems, such as thrombin-anti-thrombin antibody, and Rev-peptide-anti-Rev aptamer are presented to demonstrate the detectability of different molecular masses at varying concentrations. In order to improve the signal-to-noise ratio, the use of reference sensors has been explored. The interaction ...


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Educational Resources on Biological interactions

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IEEE.tv Videos

Engineering Our Future - Q and A with Panel
EMBC 2011-Workshop- Biological Micro Electro Mechanical Systems (BioMEMS): Fundamentals and Applications-Mehmet R. Dokmeci
EMBC 2011-Workshop- Biological Micro Electro Mechanical Systems (BioMEMS): Fundamentals and Applications-Ali Khademhosseini
Continuously Learning Neuromorphic Systems with High Biological Realism: IEEE Rebooting Computing 2017
EMBC 2011-Workshop-Biological Micro Electro Mechanical Systems (BioMEMS): Fundamentals and Applications-Michelle Khine
EMBC 2011-Program-Systems in Synthetic Biology (Part I)-Pamela A. Silver
EMBC 2011-Keynote Lecture-Engineering Drug Dosing in Dynamic Biological Systems - David J. Balaban
EMBC 2011-Workshop- Biological Micro Electro Mechanical Systems (BioMEMS): Fundamentals and Applications-Utkan Demirci
IEEE 125th Anniversary Media Event: Embracing Human Technology Interactions
Engineering the Future - Frances Arnold, Ph.D.
Life Sciences Grand Challenge Conference - Roger Kamm
IEEE 125th Anniversary Media Event: Wireless Power
Robotics History: Narratives and Networks Oral Histories: Reid Simmons
Robotics History: Narratives and Networks Oral Histories: Barbara Hayes Roth
Introducing DAGSI Whegs
Q&A with Dr. Al Emondi: IEEE Brain Podcast, Episode 13
Robotics History: Narratives and Networks Oral Histories: Rob Ambrose
IEEE 125th Anniversary Media Event: Pattern Recognition
Donor Relations - IEEE Foundation Development Education Strategies Series, Part 2 of 4
IEEE 125th Anniversary Media Event: Probabilistic Chips Slate

IEEE-USA E-Books

  • Identification of an agent interaction network

    Knowledge of some particular fact, subject, or event is conveyed among disparate agents affecting their respective activities and, in turn, the generation of new information. The author's main objective is to reconstruct the flow of information in the form of a weighted digraph, based on data that reflect agent activities. Embarking from the principles of maximum entropy, the author casts the digraph identification in the Bayesian estimation framework.

  • Biological interaction between man and machine

    The purpose of this study is to develop a human-friendly communication tool between a man and a machine. In most of conventional communication tools, humans have control of the machine; however, we believe that the future machine should be able to sense the operator's behavior or intention in order to function. Therefore, focusing on the operator's "biological signals", we attempt to apply the signals to a tool to control a machine thus reducing the required action from the operator. In this paper, we demonstrate on how to control a mobile stage with one of the biological signals, the electro- oculogram (EOG), which is generated corresponding to the eye movements. In addition, we discuss the feasibility of eye-movement-related EEG (electro- encephalogram) application on the basis of the present result in our EEC study.

  • Improving Accuracy of Discovered Knowledge through Direct Interaction and Cohesion-based Framework: A Study in Cell Cycle Data of Yeast

    Association mining tasks, when put to microarray data, normal trend is to highlight amount of discovered knowledge while quality analysis goes to backseat. Ideally, two more information is equally important: a) accuracy of knowledge extracted in a rule with respect to known biological functions, and b) predictability of biological interactions from discovered rules. Most of the support and/or confidence-based techniques address only predictability or neither of them. It requires tedious post-processing to unearth the actually interesting ones from the bulky output set. In the present work, we exploit the notion of direct interaction (DI) and cohesion to develop a sound methodology for binding genes under common affinity groups and mine intra- group associations. To evaluate soundness, we apply the method in cell cycle data of yeast and analyze result with the help of known biological interactions in BIND. We found impressive values for both accuracy and predictability.

  • High-resolution biosensor spectral peak shift estimation

    In this work we present a maximum likelihood (ML) approach to high-resolution estimation of the shifts of a spectral signal. This spectral signal arises in application of optically-based resonant biosensors, where high-resolution in the estimation of signal shift is synonymous with high-sensitivity to biological interactions. The underlying signal is nonuniformly sampled and exhibits Poisson noise statistics. Shift estimation accuracies orders of magnitude finer than the sample spacing are sought. The ML-based formulation leads to a solution approach different from typical resonance shift estimation methods based on polynomial fitting and peak (or null) estimation and tracking.

  • Detection of Receptor-Ligand Interactions With an GHz Impedance Biosensor System

    Nanogap impedance biosensors with an electrode separation of 75 nm have been used for the specific detection of biological interactions. Different model systems, such as thrombin-anti-thrombin antibody, and Rev-peptide-anti-Rev aptamer are presented to demonstrate the detectability of different molecular masses at varying concentrations. In order to improve the signal-to-noise ratio, the use of reference sensors has been explored. The interaction of prostate specific antigen (PSA) with an anti-PSA antibody is shown to demonstrate the detection at concentrations as low as 10 nM.

  • Detection of Receptor-Ligand Interactions with an GHz Impedance Biosensor System

    Nanogap impedance biosensors with electrode separation of 75 nm have been used for the specific detection of biological interactions. Different model systems, such as thrombin -anti-thrombin antibody, and Rev-peptide -anti-Rev aptamer are presented. In order to improve the signal-to-noise ratio the use of reference sensors has been explored. The interaction of prostate specific antigen (PSA) to an anti-PSA antibody is shown to demonstrate the detection at concentrations as low as 10 nM.

  • Shear horizontal surface acoustic wave based immunosensing system

    Reports on the design of novel liquid media immunosensors based on shear horizontally polarised surface acoustic wave (SH-SAW) devices for the continuous and direct detection of biological interactions. A portable SH-SAW sensor array system has been developed where SH-SAW devices are fabricated on lithium tantalate piezoelectric substrates. The interaction between bovine immunoglobulin G (IgG) and Protein A was investigated to establish the feasibility of the proposed sensing system. Analysis of the kinetic phases of the interaction are evaluated in real time and preliminary results clearly show that a fast, highly sensitive and reproducible response is obtainable for various IgG concentrations in the range of 1E-7 to 1E-l mg/ml.

  • 3D resolution measure for multifocal plane microscopy

    The distance separating two biomolecules in close proximity is an important determinant of the nature of their interaction. While much focus has been given to resolving distances in 2D, the 3D cell in which biological interactions occur necessitates the evaluation of resolution in 3D. Recently, we introduced an information-theoretic 3D resolution measure which predicts that the resolution of an optical microscope is unlimited, and that it improves as more photons are detected from the imaged molecules. Here, we investigate the 3D resolution measure for a multifocal plane microscope. Used for the simultaneous imaging of distinct focal planes within a specimen, multifocal plane microscopy has important applications in the tracking of microscopic objects in 3D. By comparing their 3D resolution measures, we determine the circumstances under which a two-plane microscope setup offers better re- solvability than a comparable conventional microscope.

  • Multiple step social structure analysis with Cytoscape

    Cytoscape is a popular open source tool for biologists to visualize interaction networks. We find that it offers most of the desired functionality for visual analytics on graph data to guide us in the identification of the underlying social structure. We demonstrate its utility in the identification of the social structure in the VAST 2009 Flitter Mini Challenge.

  • Scaffolding scientific conceptualization: multiple representation and multilevel visualization using an iconic modeling tool

    Difficulties in the teaching and learning of scientific concepts and theories have been well documented in many areas of science, including the physical and life sciences, over the last two decades. Different psychological theories have been put forward as explanatory models for such difficulties. However, another perspective for understanding such learning difficulties and consequently to better support learning is to understand the relationship between the theories and the phenomena they explain. Often, scientific theories involve the postulation of explanatory models that operate at an entirely different level (or scale) in terms of the magnitude and time span from the natural phenomena that it seeks to explain. This paper elaborates the challenges to learning that this poses and introduces how an iconic modeling tool, WorldMaker, can scaffold conceptualization in the learning of a variety of scientific theories.



Standards related to Biological interactions

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