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This book highlights 12 major plants in the Asteraceae family from the aspects of traditional uses as food and medicine, phytochemistry, and pharmacological activities. Asteraceae is one of the largest family of flowering plants comprising over 1,600 plant genera and 32,000 plant species. Plants belonging to this family have a long history of being used as medicinal plants for the treatment of various diseases. Many of them are also used in the preparation of foods, beverages, and also used in pharmaceutical and cosmetic industries. In addition, plants such as Artemisia annua have played an important role in the discovery of novel drugs. The book summarizes the traditional uses of the plants in the family Asteraceae and their scientific validation, which helps readers understand their relation and impact on human health. It also explains the Phytochemistry of the species and presents the pharmacological activities and mechanisms in detail. Understanding current scientific knowledge will help in the commercialization of products based on these plants and also helps to find the research gaps that should be fulfilled in the future for their optimal use. It also helps in increasing the awareness of the plant species related to conservation, cultivation, and sustainable utilization. This edited volume comprises chapters contributed by experts from around the world. .

General biochemistry --- Botany --- biochemie --- botanie --- planten

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Human biochemistry --- Biotechnology --- medische biochemie --- bio-engineering --- biotechnologie

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Plant physiology. Plant biophysics --- Biochemical engineering --- systematische plantkunde --- biochemie --- planten

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This book examines the role of nanobiosensors in point-of-care applications for personalized healthcare and management. It begins by discussing various biomaterials that are used for the development of biosensors in medical diagnostics, and reviews advances in their fabrication and the miniaturization of biosensor devices for lab-on-chip analysis. In turn, it explores the rapidly evolving applications of nanomaterials in the context of biomaterial diagnostics. The book also explores the immense potential of biosensors in medical diagnostics, where they are increasingly being used to detect a wide range of biomolecules and biomarkers. In closing, it discusses the current challenges and outlines the future role of nanobiosensors in the development of next-generation point-of-care applications.

Biology --- Human biochemistry --- Translation science --- medische biochemie --- biologie --- vertalen

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This textbook provides a comprehensive and didactic introduction from the basics to the current state of the art in the field of EEG/MEG source reconstruction. Reconstructing the generators or sources of electroencephalographic and magnetoencephalographic (EEG/MEG) signals is an important problem in basic neuroscience as well as clinical research and practice. Over the past few decades, an entire theory, together with a whole collection of algorithms and techniques, has developed. In this textbook, the authors provide a unified perspective on a broad range of EEG/MEG source reconstruction methods, with particular emphasis on their respective assumptions about sources, data, head tissues, and sensor properties. An introductory chapter highlights the concept of brain imaging and the particular importance of the neuroelectromagnetic inverse problem. This is followed by an in-depth discussion of neural information processing and brain signal generation and an introduction to the practice of data acquisition. Next, the relevant mathematical models for the sources of EEG and MEG are discussed in detail, followed by the neuroelectromagnetic forward problem, that is, the prediction of EEG or MEG signals from those source models, using biophysical descriptions of the head tissues and the sensors. The main part of this textbook is dedicated to the source reconstruction methods. The authors present a theoretical framework of the neuroelectromagnetic inverse problem, centered on Bayes' theorem, which then serves as the basis for a detailed description of a large variety of techniques, including dipole fit methods, distributed source reconstruction, spatial filters, and dynamic source reconstruction methods. The final two chapters address the important topic of assessment, including verification and validation of source reconstruction methods, and their actual application to real-world scientific and clinical questions. This book is intended as basic reading for anybody who is engaged with EEG/MEG source reconstruction, be it as a method developer or as a user, including advanced undergraduate students, PhD students, and postdocs in neuroscience, biomedical engineering, and related fields. .

Human biochemistry --- Neuropathology --- Biotechnology --- medische biochemie --- neurologie --- bio-engineering --- biotechnologie