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The Picornaviruses
A springboard for developing new approaches to understanding, preventing, and treating picornaviral diseases. • Examines the most current breakthroughs as well as the challenges that lie ahead in picornavirus research; encapsulates current knowledge of the molecular biology, evolution, and pathogenesis of this large family of viruses; and, examines the diseases that these viruses cause and the latest vaccines and antiviral drugs to prevent and control those diseases. • Explores the structural and mechanistic bases of picornavirus replication, highlighting new insights about the host cell interactions needed for virus growth; and, illustrates how the regular occurrence of mutations, typical of viruses with RNA as genetic material, generates the quasispecies dynamics that underlie viral fitness. • Focuses on picornaviruses that cause disease, examining pathogenicity and innate and acquired immune responses against infection as well as the latest vaccine and antiviral drug strategies.
Research Grants
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Advances in Virus Research
Published since 1953, Advances in Virus Research covers a diverse range of in-depth reviews providing a valuable overview of the current field of virology. The impact factor for 2009 is 5.522 placing it 2nd in the highly competitive category of virology. Contributions from leading authorities Informs and updates on all the latest developments in the field
Comprehensive Virology
The time seems ripe for a critical compendium of that segment of the biological universe we call viruses. Virology, as a science, having passed only recently through its descriptive phase of naming and num bering, has probably reached that stage at which relatively few new truly new-viruses will be discovered. Triggered by the intellectual probes and techniques of molecular biology, genetics, biochemical cytology, and high resolution microscopy and spectroscopy, the field has experienced a genuine information explosion. Few serious attempts have been made to chronicle these events. This comprehensive series, which will comprise some 6000 pages in a total of about 18 volumes, represents a com...
Advanced Techniques for Audio Watermarking
This book provides information on digital audio watermarking, its applications, and its evaluation for copyright protection of audio signals – both basic and advanced. The author covers various advanced digital audio watermarking algorithms that can be used for copyright protection of audio signals. These algorithms are implemented using hybridization of advanced signal processing transforms such as fast discrete curvelet transform (FDCuT), redundant discrete wavelet transform (RDWT), and another signal processing transform such as discrete cosine transform (DCT). In these algorithms, Arnold scrambling is used to enhance the security of the watermark logo. This book is divided in to three portions: basic audio watermarking and its classification, audio watermarking algorithms, and audio watermarking algorithms using advance signal transforms. The book also covers optimization based audio watermarking. Describes basic of digital audio watermarking and its applications, including evaluation parameters for digital audio watermarking algorithms; Provides audio watermarking algorithms using advanced signal transformations; Provides optimization based audio watermarking algorithms.
Advance Compression and Watermarking Technique for Speech Signals
This book introduces methods for copyright protection and compression for speech signals. The first method introduces copyright protection of speech signal using watermarking; the second introduces compression of the speech signal using Compressive Sensing (CS). Both methods are tested and analyzed. The speech watermarking method uses technology such as Finite Ridgelet Transform (FRT), Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD). The performance of the method is evaluated and compared with existing watermarking methods. In the speech compression method, the standard Compressive Sensing (CS) process is used for compression of the speech signal. The performance of the proposed method is evaluated using various transform bases like Discrete Fourier Transform (DFT), Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), Singular Value Decomposition (SVD), and Fast Discrete Curvelet Transform (FDCuT).
University Bulletin
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