This book provides everything nurses need to know about undertaking research and the use of statistics within that research. Original contents: the author used his own content practiced and experienced in his metaphorical career. Research examples box: each chapter includes box of realistic examples to sharpen the reader's critical thinking and understanding. Illuminating statistics: statistics chapter includes illustrative figures and examples for commonly used statistics for ready reference to nursing students. Multiple choice questions: each chapter is offered multiple choice questions helpful in preparation in different nursing examinations. Research misconduct: the only research book in nursing highlighted research and publication misconduct to sensitize the readers for publishing research paper. Aids to student learning: a detailed glossary and comprehensive index are provided for accessing information quickly.

Digital Twin for Smart Manufacturing: Emerging Approaches and Applications provides detailed descriptions on how to integrate and optimize novel digital technologies for smart manufacturing. The book discusses digital twins, which combine the industrial internet of things, artificial intelligence, machine learning and software analytics with spatial network graphs to create living digital simulation models that update and change as their physical counterparts change. In addition, they provide an effective way to integrate technologies like cyber-physical systems into a smart manufacturing system, potentially optimizing the entire business process and operating procedure of the manufacturing firm. Drawing on the latest research, the book addresses the topics and technologies key to successful implementation of a smart manufacturing system, including augmented and virtual reality, big data and energy management. Broader subjects such as additive manufacturing and robotics are also covered in this context, covering every aspect of production.

Due to the ubiquity of social media and digital information, the use of digital images in today's digitized marketplace is continuously rising throughout enterprises. Organizations that want to offer their content through the internet confront plenty of security concerns, including copyright violation. Advanced solutions for the security and privacy of digital data are continually being developed, yet there is a lack of current research in this area. The Handbook of Research on Multimedia Forensics and Content Integrity features a collection of innovative research on the approaches and applications of current techniques for the privacy and security of multimedia and their secure transportation. It provides relevant theoretical frameworks and the latest empirical research findings in the area of multimedia forensics and content integrity. Covering topics such as 3D data security, copyright protection, and watermarking, this major reference work is a comprehensive resource for security analysts, programmers, technology developers, IT professionals, students and educators of higher education, librarians, researchers, and academicians.

In healthcare, a digital twin is a digital representation of a patient or healthcare system using integrated simulations and service data. The digital twin tracks a patient's records, crosschecks them against registered patterns and analyses any diseases or contra indications. The digital twin uses adaptive analytics and algorithms to produce accurate prognoses and suggest appropriate interventions. A digital twin can run various medical scenarios before treatment is initiated on the patient, thus increasing patient safety as well as providing the most appropriate treatments to meet the patient's requirements. Digital Twin Technologies for Healthcare 4.0 discusses how the concept of the digital twin can be merged with other technologies, such as artificial intelligence (AI), machine learning (ML), big data analytics, IoT and cloud data management, for the improvement of healthcare systems and processes. The book also focuses on the various research perspectives and challenges in implementation of digital twin technology in terms of data analysis, cloud management and data privacy issues. With chapters on visualisation techniques, prognostics and health management, this book is a must-have for researchers, engineers and IT professionals in healthcare as well as those involved in using digital twin technology, AI, IoT & big data analytics for novel applications.

Metaverse Technologies in Healthcare includes different areas of Metaverse healthcare and provides comprehensive knowledge and methodological information. With a strong focus on data analysis, the book utilizes the possibilities of data to increase the effectiveness of healthcare organizations. Healthcare services aim to maintain the physical, mental, social and emotional well-being of human lives while the Metaverse is a blend of technological trends- Artificial Intelligence (AI), Augmented Reality (AR) and Virtual Reality (VR). Collectively, they can deliver treatments and medicines; lowering costs, and substantially enhancing patient outcomes. In 20 chapters Metaverse Technologies in Healthcare redefines the digital health experience. It describes the advantages of the Metaverse-based NFT technology in healthcare sector facilitating NFT avatars to interact with targeted audiences, discusses the aspects of their projects with like-minded people resulting in interdisciplinary solutions . Healthcare entities ranging from hospitals chains to fitness companies, will benefit from this title.

The volume "Nanocomposite and Nanohybrid Materials: Processing and Applications" is an outstanding resource for exploring the findings and recent trends of nanocomposites and nanohybrid materials. Herein, a full grasp of cutting-edge research, new technologies, and exciting opportunities linked with nanocomposites and nanohybrids. Nanomaterials, including their synthesis, development, and advanced properties, are thoroughly investigated. Several processes for preparing nanomaterials are presented to the reader, along with their characteristics and development phase. It offers the latest applications of nanoparticles for diagnosing and treating neurological disorders and their use in biological imaging and targeted cancer treatments. This provides a strong basis for future study and innovation in this intriguing issue that is very important to methodology, qualitative approaches, and applications.

Computational Biology for Stem Cell Research is an invaluable guide for researchers as they explore HSCs and MSCs in computational biology. With the growing advancement of technology in the field of biomedical sciences, computational approaches have reduced the financial and experimental burden of the experimental process. In the shortest span, it has established itself as an integral component of any biological research activity. HSC informatics (in silico) techniques such as machine learning, genome network analysis, data mining, complex genome structures, docking, system biology, mathematical modeling, programming (R, Python, Perl, etc.) help to analyze, visualize, network constructions, and protein-ligand or protein-protein interactions. This book is aimed at beginners with an exact correlation between the biomedical sciences and in silico computational methods for HSCs transplantation and translational research and provides insights into methods targeting HSCs properties like proliferation, self-renewal, differentiation, and apoptosis.

Evolutionary Diversity as a Source for Anticancer Molecules discusses evolutionary diversity as source for anticancer agents derived from bacteria, algae, bryophytes, pteridophytes, and gymnosperms. The book goes over the isolation of anticancer agents and the technologyenabled screening process used to develop anticancer drugs. The book also includes discussion of the nutraceuticals and natural products derived from invertebrates that can be used as part of cancer treatment. Evolutionary Diversity as a Source for Anticancer Molecules also deals with some of the current challenges in the prevention of cancer as well as the side effects of conventional drugs used for cancer patients. This book is a valuable resource for cancer researchers, oncologists, biotechnologists, pharmacologists, and any member of the biomedical field interested in understanding more about natural products with anticancer potential.

As digital technology continues to revolutionize the world, businesses are also evolving by adopting digital technologies such as artificial intelligence, digital marketing, and analytical methods into their daily practices. Due to this growing adoption, further study on the potential solutions modern technology provides to businesses is required to successfully apply it across industries. AI-Driven Intelligent Models for Business Excellence explores various artificial intelligence models and methods for business applications and considers algorithmic approaches for business excellence across numerous fields and applications. Covering topics such as business analysis, deep learning, machine learning, and analytical methods, this reference work is ideal for managers, business owners, computer scientists, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.

The worldwide consumption of resources is causing environmental damage at a rate that cannot be sustained. Apart from the resulting environmental and health problems, this trend could threaten economic growth due to rapidly decreasing natural resources and the cost of addressing these issues. The public sector has a responsibility to stimulate the marketplace in favor of the provision of more resource-efficient and less polluting goods, services, and works in order to support environmental and wider sustainable development objectives. Green Public Procurement Strategies for Environmental Sustainability provides innovative insights on the adoption and implementation of green public procurement for sustainable practice in order to contribute to environmental protection. The content within this publication examines climate change, sustainable development, and document analysis and is designed for policymakers, environmentalists, managers, suppliers, development agencies, government officials, academicians, researchers, students, and professionals.

Novel drug delivery systems cover the approaches, formulation, technologies, and modes for transporting any pharmaceutical compound throughout the body to safely get the desired effect. A growing area of research is the use of herbal formulations for disease therapy. In combining these two areas of research, that of novel drug delivery systems and that of herbal formulations, the usefulness of herbs is not only proved but its future applications and effectiveness are studied. The move towards herbal-based novel drug delivery systems can benefit society in a multitude of advantageous ways. Enhancing the Therapeutic Efficacy of Herbal Formulations discusses and explores the ways of preparing herbal formulations loaded in novel drug delivery systems and the resultant improvement in efficacy of the effected drugs/herbs already available on the market. The chapters will highlight traditional and herbal formulations, the effects of novel drug delivery systems on herbal formulations, and the safe and effective preparation and effects of herbal formulations as a therapeutic intervention. This book is ideal for pharmacists, doctors, and researchers specializing in herbal therapeutics, along with practitioners, researchers, academicians, and students interested in how herbal-based novel drug delivery systems can benefit society.

Modeling of Chemical Wear is a one-stop resource for students, researchers and professionals seeking quick and effective tribological evaluations of environmentally friendly and energy efficient products. This book considers optimizing additive combinations by proper methodology, bridging the gap between theory and practice. It defines effective approaches to evaluate antiwear chemical additives commonly used in industry, enhancing the mapping ability of their performance to reduce the extent of full scale evaluations.

Bioinformatics: Methods and Applications provides a thorough and detailed description of principles, methods, and applications of bioinformatics in different areas of life sciences. It presents a compendium of many important topics of current advanced research and basic principles/approaches easily applicable to diverse research settings. The content encompasses topics such as biological databases, sequence analysis, genome assembly, RNA sequence data analysis, drug design, and structural and functional analysis of proteins. In addition, it discusses computational approaches for vaccine design, systems biology and big data analysis, and machine learning in bioinformatics. It is a valuable source for bioinformaticians, computer biologists, and members of biomedical field who needs to learn bioinformatics approaches to apply to their research and lab activities.

This book covers advances in system, control and computing. This book gathers selected high-quality research papers presented at the International Conference on Advances in Systems, Control and Computing (AISCC 2020), held at MNIT Jaipur during February 27-28, 2020. The first part is advances in systems and it is dedicated to applications of the artificial neural networks, evolutionary computation, swarm intelligence, artificial immune systems, fuzzy system, autonomous and multi-agent systems, machine learning, other intelligent systems and related areas. In the second part, machine learning and other intelligent algorithms for design of control/control analysis are covered. The last part covers advancements, modifications, improvements and applications of intelligent algorithms.

Technological innovations have become the impetus for continuous developments in medical research. With the assistance of new technologies, effective drug delivery techniques have been improved for optimal patient care. Recent Advances in Drug Delivery Technology is a pivotal reference source for the latest scholarly research on the application of pharmaceutical technology to optimize techniques for drug delivery in patients. Focusing on novel approaches in pharmaceutical science, this book is ideally designed for medical practitioners, upper-level students, scientists, and researchers.

Providing optimal care to patients is a primary concern in the healthcare field. By utilizing the latest resources and research in biomedical applications, the needs and expectations of patients can be successfully exceeded. Novel Approaches for Drug Delivery is an authoritative reference source for the latest scholarly research on emerging developments within the pharmaceutical industry, examining the current state and future directions of drug delivery systems. Highlighting therapeutic applications, predictive toxicology, and risk assessment perspectives, this book is ideally designed for medical practitioners, pharmacists, graduate-level students, scientists, and researchers.

This book explores various intelligent algorithms including evolutionary algorithms, swarm intelligence-based algorithms for analysis and control of dynamical systems. Both single-input-single-output (SISO) and multi-input-multi-output (MIMO) systems are explored for analysis and control purposes. The applications of intelligent algorithm vary from approximation to optimal control design. The applications of intelligent algorithms not only improve understanding of a dynamical system but also enhance the control efficacy. The intelligent algorithms are now readily applied to all fields of control including linear control, nonlinear control, digital control, optimal control, etc. The book also discusses the main benefits attained due to the application of algorithms to analyze and control.

Smart Energy and Electric Power Systems: Current Trends and New Intelligent Perspectives reviews key applications of intelligent algorithms and machine learning techniques to increasingly complex and data-driven power systems with distributed energy resources to enable evidence-driven decision-making and mitigate catastrophic power shortages. The book reviews foundations towards the integration of machine learning and smart power systems before addressing key challenges and issues. The work then explores AI- and ML-informed techniques to rebalancing of supply and demand. Methods discussed include distributed energy resources and prosumer markets, electricity demand prediction, component fault detection, and load balancing. Security solutions are introduced, along with potential solutions to cyberattacks, security data detection and critical loads in power systems. The work closes with a lengthy discussion, informed by case studies, on integrating AI and ML into the modern energy sector.

Agri 4.0 and the Future of Cyber-Physical Agricultural Systems is the first book to explore the potential use of technology in agriculture with the focus on the technologies, enabling the reader to better comprehend the full range of CPS opportunities. From planning to distribution, CPS technologies are available to impact agricultural output, delivery and consumption. The impact for food security may be significant and this book explores ways to implement CPS effectively and appropriately. Technology, especially computing technology, can play a significant in the field of agriculture by processing digitized data to solve the complex agronomic, agricultural demand and supply issues that impact the food supply chain, and ultimately food security. In Agri 4.0, the cyber physical system synchronously interacts with agricultural systems to control and execute the operation autonomously. Digitalization of agriculture integrates digital computers to assist the processes of agriculture with its digitized data and its allied technology including AI, Computer Vision, Big data, Block chain and IoT. Agri 4.0 digitalizes, estimate, plan, predict, and produce the optimum agricultural inputs and outputs for the required for commercial purposes. It can be used to get a fair, transparent and accountable process to serve the stakeholders. The convergence of IoT, ML, Big data and 5G networks have opened new possibilities to explore and exploit the cyber physical agricultural systems. The management and practices of smart multi-layer architecture and smart supply chain are one of the key application areas in Agri 4.0. The global team of authors also presents important insights into promising areas of precision agriculture, autonomous systems, smart farming environment, smart production monitoring, pest detection and recovery, sustainable industrial practices and government policies in Agri 4.0.