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Chemometrics-based Spectroscopy for Pharmaceutical and Biomedical Analysis
Chemometrics is the application of mathematics and statistics to chemical data in order to design or select optimal experimental procedures, to provide maximum relevant information, and to obtain knowledge about systems under study. This chemical discipline has constantly developed to become a mature field of Analytical Chemistry after its inception in the 1970s. The utility and versatility of chemometric techniques enable spectroscopists to perform multidimensional classification and/or calibration of spectral data that make identification and quantification of analytes in complex mixtures possible.Wavelets are mathematical functions that cut up data into different frequency components, and...
Bulletin
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Multiblock Data Fusion in Statistics and Machine Learning
Multiblock Data Fusion in Statistics and Machine Learning Explore the advantages and shortcomings of various forms of multiblock analysis, and the relationships between them, with this expert guide Arising out of fusion problems that exist in a variety of fields in the natural and life sciences, the methods available to fuse multiple data sets have expanded dramatically in recent years. Older methods, rooted in psychometrics and chemometrics, also exist. Multiblock Data Fusion in Statistics and Machine Learning: Applications in the Natural and Life Sciences is a detailed overview of all relevant multiblock data analysis methods for fusing multiple data sets. It focuses on methods based on co...
Chemometrics in Food Chemistry
The issues related to food science and authentication are of particular importance for researchers, consumers and regulatory entities. The need to guarantee quality foodstuff – where the word "quality" encompasses many different meanings, including e.g. nutritional value, safety of use, absence of alteration and adulterations, genuineness, typicalness, etc. – has led researchers to look for increasingly effective tools to investigate and deal with food chemistry problems. As even the simplest food is a complex matrix, the way to investigate its chemistry cannot be other than multivariate. Therefore, chemometrics is a necessary and powerful tool for the field of food analysis and control....
Flavour Science
Flavor science is continually evolving. Remaining current with the latest research and establishing a broad and sound understanding of the major developments and breakthroughs can be a challenge. The Weurman Flavour Research Symposium has long been regarded as the premier professional meeting focused on the science of flavor. Flavour Science, an extensive review of the most recent symposium, presents the latest in flavor research, enriching the chemistry-based vision of most flavorists and flavor chemists with understanding from a broad range of fields, including human physiology, ethology, psychophysics, genetics, bioinformatics or metabolomics. This book is ideal for all flavor scientists, food chemists and sensory scientists and has a strong audience among enologists as well. - Focuses on the rapidly changing field of flavor science - Includes the latest information on the physiology, chemistry and measurement of flavor - Presents practical information on the flavor industry and emerging trends
Artificial Intelligence Technologies for Computational Biology
This text emphasizes the importance of artificial intelligence techniques in the field of biological computation. It also discusses fundamental principles that can be applied beyond bio-inspired computing. It comprehensively covers important topics including data integration, data mining, machine learning, genetic algorithms, evolutionary computation, evolved neural networks, nature-inspired algorithms, and protein structure alignment. The text covers the application of evolutionary computations for fractal visualization of sequence data, artificial intelligence, and automatic image interpretation in modern biological systems. The text is primarily written for graduate students and academic ...
Abuse of Dominance in EU Competition Law
Granting rebates to a customer or refusing to supply a competitor are examples of ordinary commercial practices, which become ‘abusive’ under Article 102 of the Treaty on the Functioning of the EU (TFEU) when carried out by ‘dominant’ firms. This topical book provides an up-to-date account of the emerging trends in the enforcement and interpretation of this provision at both the EU and national level.
Data Science: From Research to Application
This book presents outstanding theoretical and practical findings in data science and associated interdisciplinary areas. Its main goal is to explore how data science research can revolutionize society and industries in a positive way, drawing on pure research to do so. The topics covered range from pure data science to fake news detection, as well as Internet of Things in the context of Industry 4.0. Data science is a rapidly growing field and, as a profession, incorporates a wide variety of areas, from statistics, mathematics and machine learning, to applied big data analytics. According to Forbes magazine, “Data Science” was listed as LinkedIn’s fastest-growing job in 2017. This boo...
IsoGeometric Analysis: A New Paradigm in the Numerical Approximation of PDEs
Providing an introduction to isogeometric methods with a focus on their mathematical foundations, this book is composed of four chapters, each devoted to a topic of special interests for isogeometric methods and their theoretical understanding. It contains a tutorial on splines and generalizations that are used in CAD parametrizations, and gives an overview of geometric modeling techniques that can be used within the isogeometric approach, with a focus on non-tensor product splines. Finally, it presents the mathematical properties of isogeometric spaces and spline spaces for vector field approximations, and treats in detail an application of fundamental importance: the isogeometric simulation of a viscous incompressible flow. The contributions were written by Carla Manni and Hendrik Speelers, Vibeke Skytt and Tor Dokken, Lourenco Beirao da Veiga, Annalisa Buffa, Giancarlo Sangalli and Rafael Vazquez, and finally by John Evans and Thomas J.R. Hughes.
