Describes various electrochemical processes related to the renewable compounds, including hydrogen evolution, oxygen evolution, oxygen reduction, carbon dioxide reduction, nitrogen reduction, methanol oxidation, urea oxidation and ammonia oxidation. Highlights fundamental aspects, catalysts designing principles and measurement criteria of different electrochemical transformations. Covers the important electrocatalysts, including transition metal phosphide-based electrocatalysts, earth-abundant electrocatalysts, graphene-supported nanomaterials, self-supported nanoarrays, single-atom catalysts and MOFs derived electrocatalysts. Explores the strategies and mechanisms for improving the electrocatalytic performance of various electrocatalysts. Discusses future development of renewable compounds produced by electrochemical transformation.

This book covers a wide range of problems involving the applications of stochastic processes, stochastic calculus, large deviation theory, group representation theory and quantum statistics to diverse fields in dynamical systems, electromagnetics, statistical signal processing, quantum information theory, quantum neural network theory, quantum filtering theory, quantum electrodynamics, quantum general relativity, string theory, problems in biology and classical and quantum fluid dynamics. The selection of the problems has been based on courses taught by the author to undergraduates and postgraduates in Electronics and Communications Engineering. Print edition not for sale in South Asia (India, Sri Lanka, Nepal, Bangladesh, Pakistan or Bhutan).

This book deals with a variety of problems in Physics and Engineering where the large deviation principle of probability finds application. Large deviations is a branch of probability theory dealing with approximate computation of the probabilities of rare events. It contains applications of the LDP to pattern recognition problems like analysis of the performance of the EM algorithm for optimal parameter estimation in the presence of weak noise, analysis and control of non-Abelian gauge fields in the presence of noise, and quantum gravity wherein we are concerned with perturbation to the quadratic component of the Einstein-Hilbert Hamiltonian caused by higher order nonlinear terms in the position fields and their effect on the Gibbs statistics and consequently quantum probabilities of events computed using the quantum Gibbs state. The reader will also find in this book applications of LDP to quantum filtering theory as developed by Belavkin based on the celebrated Hudson-Parthasarathy quantum stochastic calculus. Print edition not for sale in South Asia (India, Sri Lanka, Nepal, Bangladesh, Pakistan and Bhutan).

Machine Learning in Bioinformatics of Protein Sequences guides readers around the rapidly advancing world of cutting-edge machine learning applications in the protein bioinformatics field. Edited by bioinformatics expert, Dr Lukasz Kurgan, and with contributions by a dozen of accomplished researchers, this book provides a holistic view of the structural bioinformatics by covering a broad spectrum of algorithms, databases and software resources for the efficient and accurate prediction and characterization of functional and structural aspects of proteins. It spotlights key advances which include deep neural networks, natural language processing-based sequence embedding and covers a wide range of predictions which comprise of tertiary structure, secondary structure, residue contacts, intrinsic disorder, protein, peptide and nucleic acids-binding sites, hotspots, post-translational modification sites, and protein function. This volume is loaded with practical information that identifies and describes leading predictive tools, useful databases, webservers, and modern software platforms for the development of novel predictive tools.

This book highlights selected papers from the 4th ICSA-Canada Chapter Symposium, as well as invited articles from established researchers in the areas of statistics and data science. It covers a variety of topics, including methodology development in data science, such as methodology in the analysis of high dimensional data, feature screening in ultra-high dimensional data and natural language ranking; statistical analysis challenges in sampling, multivariate survival models and contaminated data, as well as applications of statistical methods. With this book, readers can make use of frontier research methods to tackle their problems in research, education, training and consultation.

Covers the fundamentals and research on graphene, including synthesis, properties, and various applications of graphene nanosheets Is a unique book on such an advanced research topic Gives an overview of the current status of the research and development in graphene Is illustrated throughout with excellent figures and includes latest references to accompany each section

Presents cutting-edge research in biomedical engineering from materials, devices, imaging, and information perspectives All chapters are results of collaborative research in engineering and life sciences Useful resource for researchers, students, and general readers in biomedical engineering

Nanotechnology has the potential to change every part of our lives. Today, nanotechnology-based products are used in many areas, and one of the most important areas is drug delivery. Nanoparticulate drug delivery systems not only provide controlled delivery of drugs and improved drug solubility but also improve drug efficiency and reduce side effects via targeting mechanisms. However, compared with conventional drug delivery systems, few nanoparticle-based products are on the market and almost all are nontargeted or only passively targeted systems. In addition, obtaining targeted nanoparticle systems is quite complex and requires several evaluation mechanisms. This book discusses the production, characterization, regulation, and currently marketed targeted nanoparticle systems in a broad framework. It provides an overview of targeted nanoparticles' (i) in vitro characterization, such as particle size, stability, ligand density, and type; (ii) in vivo behavior for different targeting areas, such as tumor, brain, and vagina; and (iii) current advances in this field, including clinical trials and regulation processes.

Collates the most relevant and up to date information on renewable energy systems in a user friendly format for undergraduate and high school students Focused on power production technologies from renewable energy sources. An introduction to how sources of renewable energy work; their advantages and drawbacks. Timely text with the need for fast adoption of renewable energy technologies around the world. Diverse audience including students with some scientific background such as final year in high school wanting to know more about combatting climate change.

Explores the utilization of marine surfactants for biological and biomedical applications Provides depth knowledge on marine surfactant preparations Discusses the development of personal care or cosmeceutical products using marine surfactants Examines various marine derived surfactants for treatment of cancer related diseases Reviews marine surfactants for environmental applications

Provides clear instructions and step-by-step exercises to make learning the material easier for students. Emphasizes fundamental laboratory skills which prepare a student for the industry. Builds students' skills through an organized and systematic presentation of materials, procedures, and tasks. Updates reflect recent innovations and regulatory requirements to ensure students stay up to date. Supplies skills suitable for careers in forensic, clinical, quality control, environmental, and other testing laboratories.

Model integration - the process by which different modelling efforts can be brought together to simulate the target system - is a core technology in the field of Systems Biology. In the work presented here model integration was addressed directly taking cancer systems as an example. An in-depth literature review was carried out to survey the model forms and types currently being utilised. This was used to formalise the main challenges that model integration poses, namely that of paradigm (the formalism on which a model is based), focus (the real-world system the model represents) and scale.

A two-tier model integration strategy, including a knowledge-driven approach to address model semantics, was developed to tackle these challenges. In the first step a novel description of models at the level of behaviour, rather than the precise mathematical or computational basis of the model, is developed by distilling a set of abstract classes and properties. These can accurately describe model behaviour and hence describe focus in a way that can be integrated with behavioural descriptions of other models. In the second step this behaviour is decomposed into an agent-based system by translating the models into local interaction rules.

The book provides a detailed and highly integrated presentation of the method, encompassing both its novel theoretical and practical aspects, which will enable the reader to practically apply it to their model integration needs in academic research and professional settings. The text is self-supporting. It also includes an in-depth current bibliography to relevant research papers and literature. The review of the current state of the art in tumour modelling provides added value.

Using both epidemiological and model organism approaches, we have gained new insights into the physiological and molecular aspects of aging, which has led to significant advancements in potential anti-aging strategies. Reviews on Biomarker Studies in Aging and Anti-Aging Research presents a series of reviews in various aspects of aging and age-related disease research along with several methods which have shown progress as potential anti-aging approaches. The book is aimed at researchers in the areas of aging and chronic disease, as well as to clinical scientists, physicians and major drug companies. It provides important information on disease mechanisms, and each chapter is presented in the context of the aging process, specific chronic diseases or different therapeutic areas.

Covers heat transfer techniques in utilization of base fluids application of phase change materials (PCMs) Describes preparation and characterization of nanofluids and nano based PCMs Explains how nanoscience can be utilized in heat transfer studies Reviews conventional heat transfer fluids

Offers the latest research on the topic.

Bioelectronics is emerging as a new area of research where electronics can selectively detect, record, and monitor physiological signals. This is a rapidly expanding area of medical research, that relies heavily on multidisciplinary technology development and cutting-edge research in chemical, biological, engineering, and physical science. This book provides extensive information on the (i) fundamental concepts of bioelectronics, (ii) materials for the developments of bioelectronics such as implantable electronics, self-powered devices, bioelectronic sensors, flexible bioelectronics, etc, and (iii) an overview of the trends and gathering of the latest bioelectronic progress. This book will broaden our knowledge about newer technologies and processes used in bioelectronics.

The rise in living standards increases the expectation of people in almost every field. At the forefront is health. Over the past few centuries, there have been major developments in healthcare. Medical device technology and developments in artificial intelligence (AI) are among the most important ones. The improving technology and our ability to harness the technology effectively by means such as AI have led to unprecedented advances, resulting in early diagnosis of diseases. AI algorithms enable the fast and early evaluation of images from medical devices to maximize the benefits. While developments in the field of AI were quickly adapted to the field of health, in some cases this contributed to the formation of innovative artificial intelligence algorithms. Today, the most effective artificial intelligence method is accepted as deep learning. Convolutional neural network (CNN) architectures are deep learning algorithms used for image processing. This book contains applications of CNN methods. The content is quite extensive, including the application of different CNN methods to various medical image processing problems. Readers will be able to analyze the effects of CNN methods presented in the book in medical applications.

Key features: Supported by the latest research and based on the state-of-the-art computational methods in high-accuracy computational spectroscopy of molecules Authored by an authority in the field Accessible to both experts and non-experts working in the area of computational and experimental spectroscopy, in addition to graduate students

Currently, the reliance on fossil fuels raises concerns on the increasing global energy demand, the rapid anthropogenic climate changes and growing environmental problems. The grand challenge is to search for viable carbon-neutral sources of renewable energy. Nanomaterials are arguably the base that integrates nanotechnology, information technology, and biotechnology; the major drivers of technological development today. Over the past decades, the understanding of form-function relations surrounding nanomaterials has significantly brightened the prospects of the transition from fossil fuels to solar fuels. This book introduces the latest developments in nanomaterials aimed at the applications in clean energy areas. It overviews the close link between nanomaterials development and energy applications from the experience and perspective of the authors. It discusses the bottom-up synthesis and interface engineering of new materials of different dimensions and describes their applications in future energy devices such as secondary batteries, novel solar cells, luminescent devices, and water splitting electrolyzers. .

Advanced Porous Biomaterials for Drug Delivery Applications probes cutting-edge progress in the application of advanced porous biomaterials in drug delivery fields. These biomaterials offer promise in improving upon the design, cost, and creation of potent novel drug delivery systems. The book focuses on two categories: nature engineered and synthetic advanced porous biomaterials, with a wide range of low-cost porous biomaterial-based systems that have been used for the delivery of diverse drugs through in vitro/in vivo approaches. Details how advanced porous biomaterial-assisted systems improve essential properties in drug delivery applications Explains how advanced porous biomaterials systems are being used and explored to improve overall performances of drug delivery systems in mitigating a variety of diseases Emphasizes major applications in drug delivery such as controlled release, cancer therapy, and targeted delivery, and with focus on oral, topical, and transdermal applications Focuses on both naturally available and synthetic low-cost advanced porous biomaterials and their role in enhancing important parameters in drug delivery applications Accessible to readers with bio and non-bio backgrounds This book is an ideal reference for academics, researchers, and industry professionals in the interdisciplinary fields of biomedicine and biomedical engineering, pharmaceuticals, materials science, and chemistry.

- Focuses on a very physical and specific understanding of how humans measure and interpret the measurements of the quantity of time, unlike existing books which explore qualitative, speculative theories currently entertained in physics and philosophy.

- Focuses on a very physical and specific understanding of how humans measure and interpret the measurements of the quantity of time, unlike existing books which explore qualitative, speculative theories currently entertained in physics and philosophy.

Introduces evolution of nanoparticles in the electrochemical energy storage devices Provides step-by-step synthesis of nanoparticles Discusses different characterization methods (Structural, Electrical, Optical, and Thermal) Includes use of nanoparticles in various electrochemical devices Aims to bridge the gap between the material synthesis and the real application including Q&A in each chapter

Discusses all aspects from starting powder, spraying parameters, diagnostics, and coating deposition Explores schematics to highlight the conceptual notes Includes multiple case studies from aerospace, biomedical, manufacturing, wettability, etc. domains to highlight practical application of the thermally sprayed coatings Covers classification of thermal spray techniques Contains solved example, numerical problems and descriptive questions for self-assessment.

Covers the most recent researches in hollow fibers and nanofibers in the different fields of membrane applications Provides and discusses the arguments relying on concrete examples from scientific literature Is illustrated throughout, with remarkable figures and illustrations accompanying each section