Biochemistry

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Biochemistry, sometimes called biological chemistry, is the study of chemical processes in living organisms, including, but not limited to, living matter. (Wikipedia.org)






Conferences related to Biochemistry

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2013 IEEE 11th International Conference on Electronic Measurement & Instruments (ICEMI)

ICEMI is invited authors to submit original papers in any but not limited as following areas: Science Foundation of Instrument and Measurement Innovative Designing of Instrument and Test System Applications on Instrument and Testing Signal & Image Processing Sensor and Non-electric Measurement Communication and Network Test Systems Control Theory and Application Condition Monitoring, Fault Diagnosis and Prediction Other Relevant Theories and Technologies

  • 2011 IEEE 10th International Conference on Electronic Measurement & Instruments (ICEMI)

    ICEMI is the world s premier conference dedicated to the electronic test of devices, boards and systems covering the complete cycle from design verification, test, diagnosis, failure analysis and back to process and design improvement, and is convened every two years. The purpose of the ICEMI is to provide excellent opportunities for scientists, engineers, and participants throughout the world to present the latest research results and to exchange their views or experience.

  • 2009 9th International Conference on Electronic Measurement & Instruments (ICEMI 2009)

    Science Foundation of Instrument and Measurement Instrument, Measurement and Test Technology: Sensing Technology and Transducer Designing of Instrument and Test System Applications on Instrument and Testing: Communication and Network Test Systems Control Theory and Application

  • 2007 8th International Conference on Electronic Measurement & Instruments (ICEMI 2007)


2012 20th Signal Processing and Communications Applications Conference (SIU)

Conference will discuss state of the art solutions and research results on existing and future DSP and telecommunication systems, applications, and related standardization activities. Conference will also include invited lectures, tutorials and special sessions.

  • 2011 19th Signal Processing and Communications Applications Conference (SIU)

    Conference will bring together academia and industry professionals as well as students and researchers to present and discuss state of the art solutions and research results on existing and future DSP and telecommunication systems, applications, and related standardization activities. The Conference will also include invited lectures, tutorials and special sessions.

  • 2010 IEEE 18th Signal Processing and Communications Applications Conference (SIU)

    S1.Theory of Signal-Processing S2.Statistical Signal-Processing S3.Multimedia Signal-Processing S4.Biomedical Signal-Processing S5.Sensor Networks S6.Multirate Signal-Processing S7.Pattern Recognition S8.Computer Vision S9.Adaptive Filters S10.Image/Video/Speech Browsing, Retrieval S11.Speech/Audio Coding S12.Speech Processing S13.Human-Machine Interfaces S14.Surveillance Signal Processing S15.Bioinformatics S16.Self-Learning S17.Signal-Processing Education S18.Signal-Processing Systems S1

  • 2009 IEEE 17th Signal Processing and Communications Applications Conference (SIU)

    The scope of the conference is to cover recent topics in theory and applications of Signal Processing and Communications.

  • 2008 IEEE 16th Signal Processing and Communications Applications Conference (SIU)

    Signal Processing, Image Processing, Speech Processing, Pattern Recognition, Human Computer Interaction, Communication, Video and Speech indexing, Computer Vision, Biomedical Signal Processing


2012 6th International Conference on Bioinformatics and Biomedical Engineering (iCBBE)

Bioinformatics, Computational Biology, Biomedical Engineering


2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)

Hyperspecatral imagery, remote sensing, sensor, physical modelling, image and signal processing.


2011 International Conference on Bioscience, Biochemistry and Bioinformatics (ICBBB)

The primary goal of the conference is to promote research and developmental activities in Bioscience, Biochemistry and Bioinformatics. Another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in India and abroad.


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Periodicals related to Biochemistry

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Computer-Aided Design of Integrated Circuits and Systems, IEEE Transactions on

Methods, algorithms, and human-machine interfaces for physical and logical design, including: planning, synthesis, partitioning, modeling, simulation, layout, verification, testing, and documentation of integrated-circuit and systems designs of all complexities. Practical applications of aids resulting in producible analog, digital, optical, or microwave integrated circuits are emphasized.


Engineering in Medicine and Biology Magazine, IEEE

Both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.


Evolutionary Computation, IEEE Transactions on

Papers on application, design, and theory of evolutionary computation, with emphasis given to engineering systems and scientific applications. Evolutionary optimization, machine learning, intelligent systems design, image processing and machine vision, pattern recognition, evolutionary neurocomputing, evolutionary fuzzy systems, applications in biomedicine and biochemistry, robotics and control, mathematical modelling, civil, chemical, aeronautical, and industrial engineering applications.


Geoscience and Remote Sensing, IEEE Transactions on

Theory, concepts, and techniques of science and engineering as applied to sensing the earth, oceans, atmosphere, and space; and the processing, interpretation, and dissemination of this information.




Xplore Articles related to Biochemistry

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A disposable DNA sample preparation microfluidic chip for nucleic acid probe assay

Joon-Ho Kim; Byoung-Gyun Kim; Hyukjun Nam; Dae-Eun Park; Kwang-Seok Yun; Jun-Bo Yoon; Jichang You; Euisik Yoon Micro Electro Mechanical Systems, 2002. The Fifteenth IEEE International Conference on, 2002

A new DNA sample preparation microfluidic chip for Nucleic Acid (NA) probe assay has been proposed. The proposed microfluidic chip is composed of three parts: microfilter, micromixer and DNA purification chip. We have fabricated a microsieve type filter with an array of 2.2 /spl mu/m diameter holes. We have also demonstrated the mixing can be successfully achieved for low Reynolds ...


Visual Decisions in the Presence of Measurement and Stimulus Correlations

Manisha Bhardwaj; Samuel Carroll; Wei Ji Ma; Kreš imir Josi&#x107 Neural Computation, 2015

Humans and other animals base their decisions on noisy sensory input. Much work has been devoted to understanding the computations that underlie such decisions. The problem has been studied in a variety of tasks and with stimuli of differing complexity. However, how the statistical structure of stimuli, along with perceptual measurement noise, affects perceptual judgments is not well understood. Here ...


Bi-directional control systems for microfluids

Chun-Ping Jen; Yu-Cheng Lin Micro Electro Mechanical Systems, 2002. The Fifteenth IEEE International Conference on, 2002

A bi-directional microfluid control system was developed both numerically and experimentally in this work. This pneumatic system is an on-chip planar structure without moving parts and does not require microfabricated heaters or electrodes. The pumping actuation is introduced to the microchannel fabricated in-chip by blowing an airflow through the device. The tunable parameters for adjusting the performance of pumping were ...


Intelligent Dynamic Simulation of a Fed-Batch Enzyme Fermentation Process

Esko K. Juuso Computer Modeling and Simulation, 2008. UKSIM 2008. Tenth International Conference on, 2008

This paper describes building of a dynamic simulation model for prediction of bioprocess variables. The simulator consists of three interacting dynamic model based on the method of linguistic equations. Each model has three versions, i.e. an own version for each phase of the fed-batch fermentation process. Steady state methods with dynamic structures were used in developing these linguistic equation models. ...


Notice of Retraction<BR>Study on Complex Enzyme Based on Extraction of Total Flavonoids from Bamboo Leaves

Jian-Wei Zhang; Hui Zhao; Yan-Qiu Meng Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on, 2010

Notice of Retraction After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles. We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper. The presenting author of this paper ...


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Educational Resources on Biochemistry

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eLearning

A disposable DNA sample preparation microfluidic chip for nucleic acid probe assay

Joon-Ho Kim; Byoung-Gyun Kim; Hyukjun Nam; Dae-Eun Park; Kwang-Seok Yun; Jun-Bo Yoon; Jichang You; Euisik Yoon Micro Electro Mechanical Systems, 2002. The Fifteenth IEEE International Conference on, 2002

A new DNA sample preparation microfluidic chip for Nucleic Acid (NA) probe assay has been proposed. The proposed microfluidic chip is composed of three parts: microfilter, micromixer and DNA purification chip. We have fabricated a microsieve type filter with an array of 2.2 /spl mu/m diameter holes. We have also demonstrated the mixing can be successfully achieved for low Reynolds ...


Visual Decisions in the Presence of Measurement and Stimulus Correlations

Manisha Bhardwaj; Samuel Carroll; Wei Ji Ma; Kre&#x161; imir Josi&#x107 Neural Computation, 2015

Humans and other animals base their decisions on noisy sensory input. Much work has been devoted to understanding the computations that underlie such decisions. The problem has been studied in a variety of tasks and with stimuli of differing complexity. However, how the statistical structure of stimuli, along with perceptual measurement noise, affects perceptual judgments is not well understood. Here ...


Bi-directional control systems for microfluids

Chun-Ping Jen; Yu-Cheng Lin Micro Electro Mechanical Systems, 2002. The Fifteenth IEEE International Conference on, 2002

A bi-directional microfluid control system was developed both numerically and experimentally in this work. This pneumatic system is an on-chip planar structure without moving parts and does not require microfabricated heaters or electrodes. The pumping actuation is introduced to the microchannel fabricated in-chip by blowing an airflow through the device. The tunable parameters for adjusting the performance of pumping were ...


Intelligent Dynamic Simulation of a Fed-Batch Enzyme Fermentation Process

Esko K. Juuso Computer Modeling and Simulation, 2008. UKSIM 2008. Tenth International Conference on, 2008

This paper describes building of a dynamic simulation model for prediction of bioprocess variables. The simulator consists of three interacting dynamic model based on the method of linguistic equations. Each model has three versions, i.e. an own version for each phase of the fed-batch fermentation process. Steady state methods with dynamic structures were used in developing these linguistic equation models. ...


Notice of Retraction<BR>Study on Complex Enzyme Based on Extraction of Total Flavonoids from Bamboo Leaves

Jian-Wei Zhang; Hui Zhao; Yan-Qiu Meng Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on, 2010

Notice of Retraction After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles. We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper. The presenting author of this paper ...


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IEEE-USA E-Books

  • References

    Research in systems biology requires the collaboration of researchers from diverse backgrounds, including biology, computer science, mathematics, statistics, physics, and biochemistry. These collaborations, necessary because of the enormous breadth of background needed for research in this field, can be hindered by differing understandings of the limitations and applicability of techniques and concerns from different disciplines. This comprehensive introduction and overview of system modeling in biology makes the relevant background material from all pertinent fields accessible to researchers with different backgrounds.The emerging area of systems level modeling in cellular biology has lacked a critical and thorough overview. This book fills that gap. It is the first to provide the necessary critical comparison of concepts and approaches, with an emphasis on their possible applications. It presents key concepts and their theoretical background, including the concepts of robustness and modularity and their exploitation to study biological systems; the best-known modeling approaches, and their advantages and disadvantages; lessons from the application of mathematical models to the study of cellular biology; and available modeling tools and datasets, along with their computational limitations.

  • Contributors

    Research in systems biology requires the collaboration of researchers from diverse backgrounds, including biology, computer science, mathematics, statistics, physics, and biochemistry. These collaborations, necessary because of the enormous breadth of background needed for research in this field, can be hindered by differing understandings of the limitations and applicability of techniques and concerns from different disciplines. This comprehensive introduction and overview of system modeling in biology makes the relevant background material from all pertinent fields accessible to researchers with different backgrounds.The emerging area of systems level modeling in cellular biology has lacked a critical and thorough overview. This book fills that gap. It is the first to provide the necessary critical comparison of concepts and approaches, with an emphasis on their possible applications. It presents key concepts and their theoretical background, including the concepts of robustness and modularity and their exploitation to study biological systems; the best-known modeling approaches, and their advantages and disadvantages; lessons from the application of mathematical models to the study of cellular biology; and available modeling tools and datasets, along with their computational limitations.

  • Models and Reality

    Research in systems biology requires the collaboration of researchers from diverse backgrounds, including biology, computer science, mathematics, statistics, physics, and biochemistry. These collaborations, necessary because of the enormous breadth of background needed for research in this field, can be hindered by differing understandings of the limitations and applicability of techniques and concerns from different disciplines. This comprehensive introduction and overview of system modeling in biology makes the relevant background material from all pertinent fields accessible to researchers with different backgrounds.The emerging area of systems level modeling in cellular biology has lacked a critical and thorough overview. This book fills that gap. It is the first to provide the necessary critical comparison of concepts and approaches, with an emphasis on their possible applications. It presents key concepts and their theoretical background, including the concepts of robustness and modularity and their exploitation to study biological systems; the best-known modeling approaches, and their advantages and disadvantages; lessons from the application of mathematical models to the study of cellular biology; and available modeling tools and datasets, along with their computational limitations.

  • Index

    Research in systems biology requires the collaboration of researchers from diverse backgrounds, including biology, computer science, mathematics, statistics, physics, and biochemistry. These collaborations, necessary because of the enormous breadth of background needed for research in this field, can be hindered by differing understandings of the limitations and applicability of techniques and concerns from different disciplines. This comprehensive introduction and overview of system modeling in biology makes the relevant background material from all pertinent fields accessible to researchers with different backgrounds.The emerging area of systems level modeling in cellular biology has lacked a critical and thorough overview. This book fills that gap. It is the first to provide the necessary critical comparison of concepts and approaches, with an emphasis on their possible applications. It presents key concepts and their theoretical background, including the concepts of robustness and modularity and their exploitation to study biological systems; the best-known modeling approaches, and their advantages and disadvantages; lessons from the application of mathematical models to the study of cellular biology; and available modeling tools and datasets, along with their computational limitations.

  • Issues in Evolutionary Optimization I

    March 1-3, 1995, San Diego, California Evolutionary programming is one of the predominate algorithms withing the rapidly expanding field of evolutionary computation. These edited contributions to the Fourth Annual Conference on Evolutionary Programming are by leading scientists from academia, industry, and defense. The papers describe both the theory and practical application of evolutionary programming, as well as other methods of evolutionary computation including evolution strategies, genetic algorithms, genetic programming, and cultural algorithms.Topics include :- Novel Areas of Evolutionary Programming and Evolution Strategies.- Evolutionary Computation with Medical Applications.- Issues in Evolutionary Optimization Pattern Discovery, Pattern Recognition, and System Identification.- Hierarchical Levels of Learning.- Self-Adaptation in Evolutionary Computation.- Morphogenic Evolutionary Computation.- Issues in Evolutionary Optimization.- Evolutionary Applications to VLSI and Part Placement.- Applications of Evolutionary Computation to Biology and Biochemistry Control.- Applications of Evolutionary Computation.- Genetic and Inductive Logic Programming.- Genetic Neural Networks.- The Future of Evolutionary Computation.A Bradford Book. Complex Adaptive Systems series

  • Computational Modeling

    Research in systems biology requires the collaboration of researchers from diverse backgrounds, including biology, computer science, mathematics, statistics, physics, and biochemistry. These collaborations, necessary because of the enormous breadth of background needed for research in this field, can be hindered by differing understandings of the limitations and applicability of techniques and concerns from different disciplines. This comprehensive introduction and overview of system modeling in biology makes the relevant background material from all pertinent fields accessible to researchers with different backgrounds.The emerging area of systems level modeling in cellular biology has lacked a critical and thorough overview. This book fills that gap. It is the first to provide the necessary critical comparison of concepts and approaches, with an emphasis on their possible applications. It presents key concepts and their theoretical background, including the concepts of robustness and modularity and their exploitation to study biological systems; the best-known modeling approaches, and their advantages and disadvantages; lessons from the application of mathematical models to the study of cellular biology; and available modeling tools and datasets, along with their computational limitations.

  • Control Applications of Evolutionary Computation

    March 1-3, 1995, San Diego, California Evolutionary programming is one of the predominate algorithms withing the rapidly expanding field of evolutionary computation. These edited contributions to the Fourth Annual Conference on Evolutionary Programming are by leading scientists from academia, industry, and defense. The papers describe both the theory and practical application of evolutionary programming, as well as other methods of evolutionary computation including evolution strategies, genetic algorithms, genetic programming, and cultural algorithms.Topics include :- Novel Areas of Evolutionary Programming and Evolution Strategies.- Evolutionary Computation with Medical Applications.- Issues in Evolutionary Optimization Pattern Discovery, Pattern Recognition, and System Identification.- Hierarchical Levels of Learning.- Self-Adaptation in Evolutionary Computation.- Morphogenic Evolutionary Computation.- Issues in Evolutionary Optimization.- Evolutionary Applications to VLSI and Part Placement.- Applications of Evolutionary Computation to Biology and Biochemistry Control.- Applications of Evolutionary Computation.- Genetic and Inductive Logic Programming.- Genetic Neural Networks.- The Future of Evolutionary Computation.A Bradford Book. Complex Adaptive Systems series

  • Issues in Evolutionary Optimization II

    March 1-3, 1995, San Diego, California Evolutionary programming is one of the predominate algorithms withing the rapidly expanding field of evolutionary computation. These edited contributions to the Fourth Annual Conference on Evolutionary Programming are by leading scientists from academia, industry, and defense. The papers describe both the theory and practical application of evolutionary programming, as well as other methods of evolutionary computation including evolution strategies, genetic algorithms, genetic programming, and cultural algorithms.Topics include :- Novel Areas of Evolutionary Programming and Evolution Strategies.- Evolutionary Computation with Medical Applications.- Issues in Evolutionary Optimization Pattern Discovery, Pattern Recognition, and System Identification.- Hierarchical Levels of Learning.- Self-Adaptation in Evolutionary Computation.- Morphogenic Evolutionary Computation.- Issues in Evolutionary Optimization.- Evolutionary Applications to VLSI and Part Placement.- Applications of Evolutionary Computation to Biology and Biochemistry Control.- Applications of Evolutionary Computation.- Genetic and Inductive Logic Programming.- Genetic Neural Networks.- The Future of Evolutionary Computation.A Bradford Book. Complex Adaptive Systems series

  • Index

    Comprehensive coverage of superconductivity from the Wiley Encyclopedia of Electrical and Electronics Engineering Engineering Superconductivity features fifty articles selected from the Wiley Encyclopedia of Electrical and Electronics Engineering, the one truly indispensable reference for electrical engineers. Superconductor technology has made highly advanced experiments possible in chemistry, biochemistry, particle physics, and health sciences, and introduced new applications currently in use in fields from medicine to cellular communications. Taken together, these articles-written by acknowledged experts in the field-provide the most complete and in-depth accounting of superconductivity in existence. The book brings together a wealth of information that would not be available to those who do not have access to the full 24-volume encyclopedia. This thorough survey looks at the application of superconductors from an engineer's practical perspective rather than a theoretical approach. Engineering Superconductivity provides full coverage of the fundamentals of superconducting behavior and explains the properties and fabrication methods of commercially produced superconductors. Up-to-date material on superconductor applications as well as competing technologies is included. The fifty articles presented here are divided into three sections: Superconductivity and magnetism Superconductors Applications and related technology Engineering Superconductivity is a complete and up-to-date reference for engineers, physicists, chemists, materials scientists, and anyone working with superconductors.

  • Novel Areas of Evolutionary Programming and Evolution Strategies

    March 1-3, 1995, San Diego, California Evolutionary programming is one of the predominate algorithms withing the rapidly expanding field of evolutionary computation. These edited contributions to the Fourth Annual Conference on Evolutionary Programming are by leading scientists from academia, industry, and defense. The papers describe both the theory and practical application of evolutionary programming, as well as other methods of evolutionary computation including evolution strategies, genetic algorithms, genetic programming, and cultural algorithms.Topics include :- Novel Areas of Evolutionary Programming and Evolution Strategies.- Evolutionary Computation with Medical Applications.- Issues in Evolutionary Optimization Pattern Discovery, Pattern Recognition, and System Identification.- Hierarchical Levels of Learning.- Self-Adaptation in Evolutionary Computation.- Morphogenic Evolutionary Computation.- Issues in Evolutionary Optimization.- Evolutionary Applications to VLSI and Part Placement.- Applications of Evolutionary Computation to Biology and Biochemistry Control.- Applications of Evolutionary Computation.- Genetic and Inductive Logic Programming.- Genetic Neural Networks.- The Future of Evolutionary Computation.A Bradford Book. Complex Adaptive Systems series



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