Unlike some other reproductions of classic texts (1) We have not used OCR(Optical Character Recognition), as this leads to bad quality books with introduced typos. (2) In books where there are images such as portraits, maps, sketches etc We have endeavoured to keep the quality of these images, so they represent accurately the original artefact. Although occasionally there may be certain imperfections with these old texts, we feel they deserve to be made available for future generations to enjoy.

Unlike some other reproductions of classic texts (1) We have not used OCR(Optical Character Recognition), as this leads to bad quality books with introduced typos. (2) In books where there are images such as portraits, maps, sketches etc We have endeavoured to keep the quality of these images, so they represent accurately the original artefact. Although occasionally there may be certain imperfections with these old texts, we feel they deserve to be made available for future generations to enjoy.

Evolving Landscape of Molecular Diagnostics: Applications and Techniques presents cutting-edge reviews on current and emerging technologies in the diagnosis of microbial infections. The book discusses the fundamentals of Molecular Diagnostics for bacteria, fungi, viruses and a variety of state-of-the-art diagnostics tools and techniques for obtaining qualitative and quantitative results. It includes topics such as Next generation sequencing and application of "OMICS" for early disease diagnosis. Sections cover the entire spectrum of emerging diagnostic tools and techniques, as well as the principles, pros and cons of each method and applications for diagnosis of infectious disease in plants, humans and veterinary. This is a resource for both researchers and students working in clinical microbiology, infectious biology, applied life sciences and scientists working in the clinical diagnostic industry.

Biomedical Imaging Instrumentation: Applications in Tissue, Cellular and Molecular Diagnostics provides foundational information about imaging modalities, reconstruction and processing, and their applications. The book provides insights into the fundamental of the important techniques in the biomedical imaging field and also discusses the various applications in the area of human health. Each chapter summarizes the overview of the technique, the various applications, and the challenges and recent innovations occurring to further improve the technique. Chapters include Biomedical Techniques in Cellular and Molecular Diagnostics, The Role of CT Scan in Medical and Dental Imaging, Ultrasonography - Technology & Applications in Clinical Radiology, Magnetic Resonance Imaging, Instrumentation and Utilization of PET-CT Scan in Oncology, Gamma Camera and SPECT, Sentinel of Breast Cancer Screening; Hyperspectral Imaging; PA Imaging; NIR Spectroscopy, and The Advances in Optical Microscopy and its Applications in Biomedical Research. This book is ideal for supporting learning, and is a key resource for students and early career researchers in fields such as medical imaging and biomedical instrumentation.

Tribology of Additively Manufactured Materials: Fundamentals, Modeling, and Applications starts with a look at the history, methods and mechanics of additive manufacturing (AM), focusing on power bed fusion-based and direct energy deposition-based additive manufacturing. Following sections of the book provide a foundational background in the fundamentals of tribology, covering the basics of surface engineering, friction and wear, corrosion and tribocorrosion, and the tribological considerations of a variety of AM materials, such as friction and wear in non-metallic and metallic AM materials, degradation in non-metallic AM components, and corrosion and tribocorrosion in AM components. The book then concludes with a section covering modeling and simulation scenarios and challenges related to the tribology of AM materials, providing readers with the processing conditions needed to extend and strengthen the lifetime and durability of AM materials and components.

Ceramic Science and Engineering: Basics to Recent Advancements covers the fundamentals, classification and applications surrounding ceramic engineering. In addition, the book contains an extensive review of the current published literature on established ceramic materials. Other sections present an extensive review of up-to-date research on new innovative ceramic materials and reviews recently published articles, case studies and the latest research outputs. The book will be an essential reference resource for materials scientists, physicists, chemists and engineers, postgraduate students, early career researchers, and industrial researchers working in R&D in the development of ceramic materials. Ceramic engineering deals with the science and technology of creating objects from inorganic and non-metallic materials. It combines the principles of chemistry, physics and engineering. Fiber-optic devices, microprocessors and solar panels are just a few examples of ceramic engineering being applied in everyday life. Advanced ceramics such as alumina, aluminum nitride, zirconia, ZnO, silicon carbide, silicon nitride and titania-based materials, each of which have their own specific characteristics and offer an economic and high-performance alternative to more conventional materials such as glass, metals and plastics are also discussed.

Entrepreneurs and information technology have formed the backbone of the global economy. The growing use of information technology in society and most industries and businesses, as well as the economic convergence of entrepreneurship and innovation, highlights the need for cutting-edge research on entrepreneurship and innovation in the context of information technology. Futuristic Technology Perspectives on Entrepreneurship and Sustainable Innovation provides rigorous and research-based chapters on the formation and implementation of effective strategies and business plans as well as current studies on the nature, process, and practice of entrepreneurship and innovation in the development, implementation, and application of information technology worldwide. Covering topics such as green entrepreneurship, design thinking, and skill building, this premier reference source is an essential resource for entrepreneurs, business leaders and managers, IT managers, technologists, government officials, medical professionals, financial planners, students and educators of higher education, librarians, researchers, and academicians.

Protocol Handbook for Cancer Biology brings together a comprehensive collection of the methods used for cancer assessment, diagnostics, and therapeutics. Various protocols are discussed along with alternative strategies, including the advantages and limitations of techniques that have been used in labs globally. These protocols are presented by cancer biology experts based on their real-world experience. The protocols in this book will be a valuable resource for cancer researchers and graduate students, who can utilize the techniques described to conduct research more efficiently and successfully.

This upper-undergraduate/graduate-level textbook introduces students to large-scale tropical climate circulation and its variations, covering their fundamental aspects and our current understanding of how they are impacted in a warming world. From this volume, readers will gain an understanding of tropical climate variability from the meso- to planetary scale. Uniquely, equal emphasis is placed on atmospheric and oceanic processes of tropical phenomena. The book will appeal to senior undergraduate and graduate students across geoscience disciplines, including in meteorology, oceanography, geography, hydrology, and environmental science.  

Machine Learning for Subsurface Characterization develops and applies neural networks, random forests, deep learning, unsupervised learning, Bayesian frameworks, and clustering methods for subsurface characterization. Machine learning (ML) focusses on developing computational methods/algorithms that learn to recognize patterns and quantify functional relationships by processing large data sets, also referred to as the "big data." Deep learning (DL) is a subset of machine learning that processes "big data" to construct numerous layers of abstraction to accomplish the learning task. DL methods do not require the manual step of extracting/engineering features; however, it requires us to provide large amounts of data along with high-performance computing to obtain reliable results in a timely manner. This reference helps the engineers, geophysicists, and geoscientists get familiar with data science and analytics terminology relevant to subsurface characterization and demonstrates the use of data-driven methods for outlier detection, geomechanical/electromagnetic characterization, image analysis, fluid saturation estimation, and pore-scale characterization in the subsurface.

With the intriguing development of technologies in several industries along with the advent of accrescent and ubiquitous computational resources, it creates an ample number of opportunities to develop innovative intelligence technologies in order to solve the wide range of uncertainties, imprecision, and vagueness issues in various real-life problems. Hybridizing modern computational intelligence with traditional computing methods has attracted researchers and academicians to focus on developing innovative AI techniques using data science. International Conference on Data Science and Artificial Intelligence (ICDSAI) 2022, organized on April 23-24, 2022 by the Indian Institute of Technology, Patna at NITIE Mumbai (India) in collaboration with the International Association of Academicians (IAASSE) USA collected scientific and technical contributions with respect to models, tools, technologies, and applications in the field of modern Artificial Intelligence and Data Science, covering the entire range of concepts from theory to practice, including case studies, works-in-progress, and conceptual explorations.

Due to various challenges within the public-school system, such as underfunding, lack of resources, and difficulty retaining and recruiting teachers of color, minority students have been found to be underperforming compared to their majority counterparts. Minority students deserve quality public education, which can only happen if the gap in equity and access is closed. In order to close this achievement gap between the majority and minority groups, it is critical to increase the learning gains of the minority students. Digital Games for Minority Student Engagement: Emerging Research and Opportunities is an essential reference source that argues that digital games can potentially help to solve the problems of minority students' insufficient academic preparation, and that a game-based learning environment can help to engage these students with the content and facilitate academic achievement. Featuring research on topics such as education policy, interactive learning, and student engagement, this book is ideally designed for educators, principals, policymakers, academicians, administrators, researchers, and students.

The role humans play in the field of information technology continues to hold relevance even with the industry's rapid growth. People contribute heavily to the physical, cognitive, and organizational domain of computing, yet there is a lack of exploration into this phenomenon. Humanoid aspects of technology require extensive research in order to avoid marginalization and insufficient data. The Handbook of Research on the Role of Human Factors in IT Project Management is a collection of innovative research on the methods and applications of the task of human characteristics in the design and development of new technology. While highlighting topics including digitalization, risk management, and task analysis, this book is ideally designed for IT professionals, managers, support executives, project managers, managing directors, academicians, researchers, and students seeking current research on the dynamics of human influence in technological projects.

In the backdrop of the Coronavirus having wreaked havoc on nations across the world and adversely impacting economic growth of countries, the government and monetary authorities,such as the Reserve Bank of India, stepped forward with conventional as well as unconventional stimulus measures. This was the time for the Government and fellow Indians to reboot, redraw, and reinvent the wheel of progress, and paint a new standing in the World Economic Order. Thus, in light of the above-mentioned macroeconomic scenario existing in India in June 2020, the authors decided to continuously examine the important measures and policies announced by the Government and evaluate its impact on the country. Part 1 of the book traces the preceding trends in the economic growth of the country during 2010-20, the initial impact of the virus on the Indian economy, the macroeconomic perspectives, including the required fiscal measures through the very first post-pandemic budget, i.e., for 2021-22, and the country's progress on the path to economic recovery in the first quarter of 2022. Part 2 critically analyses policy initiatives undertaken by the Government for achieving an Atmanirbhar Bharat (self-reliant India), short-term and long-term structural reforms, agricultural reforms, the six pillars on which the union budget 2021-22 has been formulated, and bold measures like the proposal for asset monetization of PSUs and government's re-think on retrospective taxes. Part 3 lays out a roadmap of policy suggestions which warrant government focus and attention to make India into a self-reliant nation. These initiatives can help in achieving the dream of doubling farmers' income and making India into a global manufacturing hub. This section also discusses the importance of cooperative federalism and challenges before the government in making India into a self-reliant nation, especially in terms of administrative machinery and the judicial system.

Material-Tissue Interfacial Phenomena: Contributions from Dental and Craniofacial Reconstructions explores the material/tissue interfacial phenomena using dental and craniofacial reconstructions as a model system. As the mouth is a particularly caustic environment, the synthetic and/or bio-enabled materials used to repair damaged tissues and restore form, function, and esthetics to oral structures must resist a variety of physical, chemical, and mechanical challenges. These challenges are magnified at the interface between dissimilar structures such as the tooth/material interface. Interfacial reactions at the atomic, molecular, and nano-scales initiate the failure of materials used to repair, restore, and reconstruct dental and craniofacial tissues. Understanding the phenomena that lead to failure at the interface between dissimilar structures, such as synthetic materials and biologic tissues, is confounded by a variety of factors that are thoroughly discussed in this comprehensive book.

In today's digital world, the huge amount of data being generated is unstructured, messy, and chaotic in nature. Dealing with such data, and attempting to unfold the meaningful information, can be a challenging task. Feature engineering is a process to transform such data into a suitable form that better assists with interpretation and visualization. Through this method, the transformed data is more transparent to the machine learning models, which in turn causes better prediction and analysis of results. Data science is crucial for the data scientist to assess the trade-offs of their decisions regarding the effectiveness of the machine learning model implemented. Investigating the demand in this area today and in the future is a necessity. The Handbook of Research on Automated Feature Engineering and Advanced Applications in Data Science provides an in-depth analysis on both the theoretical and the latest empirical research findings on how features can be extracted and transformed from raw data. The chapters will introduce feature engineering and the recent concepts, methods, and applications with the use of various data types, as well as examine the latest machine learning applications on the data. While highlighting topics such as detection, tracking, selection techniques, and prediction models using data science, this book is ideally intended for research scholars, big data scientists, project developers, data analysts, and computer scientists along with practitioners, researchers, academicians, and students interested in feature engineering and its impact on data.

Delivery of therapeutic proteomics and genomics represent an important area of drug delivery research. Genomics and proteomics approaches could be used to direct drug development processes by unearthing pathways involved in disease pathogenesis where intervention may be most successful.

This book describes the basics of genomics and proteomics and highlights the various chemical, physical and biological approaches to protein and gene delivery.
Covers a diverse array of topics from basic sciences to therapeutic applications of proteomics and genomics deliveryOf interest to researchers in both academia and industryHighlights what s currently known and where further research is needed"