New Biosensing Strategies Using Hyperpolarized Xenon 129 Nmr Spectroscopy

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Author: Yanfei Wang
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ISBN:
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New Biosensing Strategies Using Hyperpolarized Xenon 129 Nmr Spectroscopy by Yanfei Wang


Original Title: New Biosensing Strategies Using Hyperpolarized Xenon 129 Nmr Spectroscopy

The concept of using 129Xe NMR for biosensing was first proposed by a Berkeley team in 2001 to realize targeted imaging and biological sensing at a molecular level. The development of xenon biosensors has since focused on modifying organic host molecules (e.g., cryptophanes) via diverse conjugation chemistries, and has brought about numerous sensing applications including detection of chemical modifications, oligonucleotide hybridization, enzyme active-site binding or enzyme-mediated proteolysis, and peptide binding events. Designs for new 129Xe NMR biosensors have recently extended beyond cryptophanes to new xenon-interacting scaffolds.

Optimization And Regularization For Computational Inverse Problems And Applications

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Author: Yanfei Wang
Publisher: Springer Science & Business Media
ISBN: 9783642137426
Size: 48.36 MB
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Optimization And Regularization For Computational Inverse Problems And Applications by Yanfei Wang


Original Title: Optimization And Regularization For Computational Inverse Problems And Applications

"Optimization and Regularization for Computational Inverse Problems and Applications" focuses on advances in inversion theory and recent developments with practical applications, particularly emphasizing the combination of optimization and regularization for solving inverse problems. This book covers both the methods, including standard regularization theory, Fejer processes for linear and nonlinear problems, the balancing principle, extrapolated regularization, nonstandard regularization, nonlinear gradient method, the nonmonotone gradient method, subspace method and Lie group method; and the practical applications, such as the reconstruction problem for inverse scattering, molecular spectra data processing, quantitative remote sensing inversion, seismic inversion using the Lie group method, and the gravitational lensing problem. Scientists, researchers and engineers, as well as graduate students engaged in applied mathematics, engineering, geophysics, medical science, image processing, remote sensing and atmospheric science will benefit from this book. Dr. Yanfei Wang is a Professor at the Institute of Geology and Geophysics, Chinese Academy of Sciences, China. Dr. Sc. Anatoly G. Yagola is a Professor and Assistant Dean of the Physical Faculty, Lomonosov Moscow State University, Russia. Dr. Changchun Yang is a Professor and Vice Director of the Institute of Geology and Geophysics, Chinese Academy of Sciences, China.

Computational Methods For Applied Inverse Problems

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Author: Yanfei Wang
Publisher: Walter de Gruyter
ISBN: 3110259052
Size: 67.61 MB
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Computational Methods For Applied Inverse Problems by Yanfei Wang


Original Title: Computational Methods For Applied Inverse Problems

This monograph reports recent advances of inversion theory and recent developments with practical applications in frontiers of sciences, especially inverse design and novel computational methods for inverse problems. Readers who do research in applied mathematics, engineering, geophysics, biomedicine, image processing, remote sensing, and environmental science will benefit from the contents since the book incorporates a background of using statistical and non-statistical methods, e.g., regularization and optimization techniques for solving practical inverse problems.

Compressive Sensing Of Earth Observations

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Author: C. H. Chen
Publisher: CRC Press
ISBN: 9781498774376
Size: 14.35 MB
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Compressive Sensing Of Earth Observations by C. H. Chen


Original Title: Compressive Sensing Of Earth Observations

Future remote sensing systems will make extensive use of Compressive Sensing (CS) as it becomes more integrated into the system design with increased high resolution sensor developments and the rising earth observation data generated each year. Written by leading experts in the field Compressive Sensing of Earth Observations provides a comprehensive and balanced coverage of the theory and applications of CS in all aspects of earth observations. This work covers a myriad of practical aspects such as the use of CS in detection of human vital signs in a cluttered environment and the corresponding modeling of rib-cage breathing. Readers are also presented with three different applications of CS to the ISAR imaging problem, which includes image reconstruction from compressed data, resolution enhancement, and image reconstruction from incomplete data.

Visual Elements And Their Effects On The Learning Outcomes Of E Learning

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Author: Yanfei Wang
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ISBN:
Size: 27.65 MB
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Visual Elements And Their Effects On The Learning Outcomes Of E Learning by Yanfei Wang


Original Title: Visual Elements And Their Effects On The Learning Outcomes Of E Learning

This research contributes to an emergent body of knowledge regarding the understanding of the relationship between visual elements and E-learning outcomes. Visual images and texts are the main visual elements within the study. A literature review was conducted on E-learning situations, and a discussion on the role of visual elements in E-learning. Data collection was also conducted by way of a test, which randomly placed participants into three groups and assigned them to three different E-learning courses. The texts for the three courses were the same font, but the first course had text only, the second course had text and "bad" images, and the third one had text and "good" images. Every time participants finished a short course, they were requested to do a short quiz based on what they had learned. In addition, every participant needed to do a survey based on his or her E-learning experience. Research data was finally collected through the test scores and surveys. Key findings of this research are: (1) The combination of text and "good" image materials in E-learning can greatly enhance the learning outcomes; (2) the "good" images in learning materials can add to the value of the text content as well as improve the satisfactory level of learners in E-learning; (3) "bad" images do not enhance E-learning outcomes; and (4) E-learners will spend a longer time to complete learning materials containing images, no matter how "good" or "bad" the images are.

Multidimensional Liquid Chromatography

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Author: Steven A. Cohen
Publisher: John Wiley & Sons
ISBN: 9780470276259
Size: 54.64 MB
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Multidimensional Liquid Chromatography by Steven A. Cohen


Original Title: Multidimensional Liquid Chromatography

Multidimensional Liquid Chromatography (MDLC) is a very powerful separation technique for analyzing exceptionally complex samples in one step. This authoritative reference presents a number of recent contributions that help define the current art and science of MDLC. Topics covered include instrumentation, theory, methods development, and applications of MDLC in the life sciences and in industrial chemistry. With the information to help you perform very difficult separations of complex samples, this reference includes chapters contributed by leading experts or teams of experts.

Kernel Methods For Remote Sensing Data Analysis

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Author: Gustau Camp-Valls
Publisher: John Wiley & Sons
ISBN: 0470749008
Size: 68.32 MB
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Kernel Methods For Remote Sensing Data Analysis by Gustau Camp-Valls


Original Title: Kernel Methods For Remote Sensing Data Analysis

Kernel methods have long been established as effective techniques in the framework of machine learning and pattern recognition, and have now become the standard approach to many remote sensing applications. With algorithms that combine statistics and geometry, kernel methods have proven successful across many different domains related to the analysis of images of the Earth acquired from airborne and satellite sensors, including natural resource control, detection and monitoring of anthropic infrastructures (e.g. urban areas), agriculture inventorying, disaster prevention and damage assessment, and anomaly and target detection. Presenting the theoretical foundations of kernel methods (KMs) relevant to the remote sensing domain, this book serves as a practical guide to the design and implementation of these methods. Five distinct parts present state-of-the-art research related to remote sensing based on the recent advances in kernel methods, analysing the related methodological and practical challenges: Part I introduces the key concepts of machine learning for remote sensing, and the theoretical and practical foundations of kernel methods. Part II explores supervised image classification including Super Vector Machines (SVMs), kernel discriminant analysis, multi-temporal image classification, target detection with kernels, and Support Vector Data Description (SVDD) algorithms for anomaly detection. Part III looks at semi-supervised classification with transductive SVM approaches for hyperspectral image classification and kernel mean data classification. Part IV examines regression and model inversion, including the concept of a kernel unmixing algorithm for hyperspectral imagery, the theory and methods for quantitative remote sensing inverse problems with kernel-based equations, kernel-based BRDF (Bidirectional Reflectance Distribution Function), and temperature retrieval KMs. Part V deals with kernel-based feature extraction and provides a review of the principles of several multivariate analysis methods and their kernel extensions. This book is aimed at engineers, scientists and researchers involved in remote sensing data processing, and also those working within machine learning and pattern recognition.

Education For Librarianship In China

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Author: Wu Guangwei
Publisher: A&C Black
ISBN: 0720121930
Size: 13.47 MB
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Education For Librarianship In China by Wu Guangwei


Original Title: Education For Librarianship In China

A detailed study of the education and training of information professionals in China, including the People's Republic, Hong Kong, Macau, and Taiwan, offering insights into history, the present situation, and future scenarios. Chapters concentrate on educational and pedagogical matters in an apolitical fashion. Subjects include history of library science education, employment conditions of library school educators, and international cooperation in library science education. Includes a directory of library and information programs of higher education and a list of library conferences in China.

Study On Ground Moving Target Indication And Imaging Technique Of Airborne Sar

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Author: Jian Yang
Publisher: Springer
ISBN: 9811030758
Size: 74.76 MB
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Study On Ground Moving Target Indication And Imaging Technique Of Airborne Sar by Jian Yang


Original Title: Study On Ground Moving Target Indication And Imaging Technique Of Airborne Sar

Based on a detailed analysis of the signal model of the moving target, this thesis focuses on the theories and applications of ground moving target indicator (GMTI) and ground moving target imaging (GMTIm) algorithms in synthetic aperture radar/ ground moving target indicator (SAR/GMTI mode), wide-area surveillance ground moving target indication (WAS-GMTI) mode and frequency modulated continuous wave synthetic aperture radar (FMCW SAR) systems. The proposed algorithms can not only indicate and image fast-moving targets, but are also effective in the context of slow-moving target processing. The system design scheme combines the mechanical scanning mode and the airborne SAR system, while the azimuth moving target indication algorithm employs the additional range walk migration induced by FMCW SAR systems. In addition, the non-ideal errors that deteriorate the performance of GMTIm algorithms in real SAR data processing are discussed, and suitable compensation methods are provided.>

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