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Bioinformatics Analysis of Omics Data for Biomarker Identification in Clinical Research, Volume II
This Research Topic is part of a series with, "Bioinformatics Analysis of Omics Data for Biomarker Identification in Clinical Research - Volume I" (https://www.frontiersin.org/research-topics/13816/bioinformatics-analysis-of-omics-data-for-biomarker-identification-in-clinical-research) The advances and the decreasing cost of omics data enable profiling of disease molecular features at different levels, including bulk tissues, animal models, and single cells. Large volumes of omics data enhance the ability to search for information for preclinical study and provide the opportunity to leverage them to understand disease mechanisms, identify molecular targets for therapy, and detect biomarkers ...
Federated Learning
How is it possible to allow multiple data owners to collaboratively train and use a shared prediction model while keeping all the local training data private? Traditional machine learning approaches need to combine all data at one location, typically a data center, which may very well violate the laws on user privacy and data confidentiality. Today, many parts of the world demand that technology companies treat user data carefully according to user-privacy laws. The European Union's General Data Protection Regulation (GDPR) is a prime example. In this book, we describe how federated machine learning addresses this problem with novel solutions combining distributed machine learning, cryptography and security, and incentive mechanism design based on economic principles and game theory. We explain different types of privacy-preserving machine learning solutions and their technological backgrounds, and highlight some representative practical use cases. We show how federated learning can become the foundation of next-generation machine learning that caters to technological and societal needs for responsible AI development and application.
Electrochemical DNA Biosensors
This book focuses on the basic electrochemical applications of DNA in various areas, from basic principles to the most recent discoveries. The book comprises theoretical and experimental analysis of various properties of nucleic acids, research methods, and some promising applications. The topics discussed in the book include electrochemical detection of DNA hybridization based on latex/gold nanoparticle and nanotubes; nanomaterial-based electrochemical DNA detection; electrochemical detection of microorganism-based DNA biosensors; gold nanoparticle-based electrochemical DNA biosensors; electrochemical detection of the aptamer-target interaction; nanoparticle-induced catalysis for DNA biosensing; basic terms regarding electrochemical DNA (nucleic acids) biosensors; screen-printed electrodes for electrochemical DNA detection; application of field-effect transistors to label free electrical DNA biosensor arrays; and electrochemical detection of nucleic acids using branched DNA amplifiers.
5G NR and Enhancements
5G NR and Enhancements: From R15 to R16 introduces 5G standards, along with the 5G standardization procedure. The pros and cons of this technical option are reviewed, with the reason why the solution selected explained. The book's authors are 3GPP delegates who have been working on 4G/5G standardization for over 10 years. Their experience with the 5G standardization process will help readers understand the technology. Thousands of 3GPP papers and dozens of meeting minutes are also included to help explain how the 5G stand came into form. Provides a complete introduction to 5G standards, including Release 15 and 16, the essential vertical features URLLC, V2X and unlicensed spectrum access Introduces the 5G standardization procedure, along with the pros, cons and technical options Explains the “balance system design principle from the 5G standardization procedure Presents a vision of 5G R17 and 6G
Classical and Quantum Dynamics in Condensed Phase Simulations
The school held at Villa Marigola, Lerici, Italy, in July 1997 was very much an educational experiment aimed not just at teaching a new generation of students the latest developments in computer simulation methods and theory, but also at bringing together researchers from the condensed matter computer simulation community, the biophysical chemistry community and the quantum dynamics community to confront the shared problem: the development of methods to treat the dynamics of quantum condensed phase systems. This volume collects the lectures delivered there. Due to the focus of the school, the contributions divide along natural lines into two broad groups: (1) the most sophisticated forms of ...
Speech Enhancement
We live in a noisy world! In all applications (telecommunications, hands-free communications, recording, human-machine interfaces, etc) that require at least one microphone, the signal of interest is usually contaminated by noise and reverberation. As a result, the microphone signal has to be "cleaned" with digital signal processing tools before it is played out, transmitted, or stored. This book is about speech enhancement. Different well-known and state-of-the-art methods for noise reduction, with one or multiple microphones, are discussed. By speech enhancement, we mean not only noise reduction but also dereverberation and separation of independent signals. These topics are also covered in this book. However, the general emphasis is on noise reduction because of the large number of applications that can benefit from this technology. The goal of this book is to provide a strong reference for researchers, engineers, and graduate students who are interested in the problem of signal and speech enhancement. To do so, we invited well-known experts to contribute chapters covering the state of the art in this focused field.
