To follow the macroeconomic scenario in which the entities are inserted, financial reporting is constantly evolving. In addition to the topics that need to be considered, there is also an evolution in how the report itself is produced and analyzed where technological developments exert a permanent influence on the process. Several of the trending topics do not fall within the jurisdiction of the competent authorities. The needs of the users of the report also influence the form and content of the report as an element that also changes over time. Accounting and Financial Reporting Challenges for Government, Non-Profits, and the Private Sector addresses the latest accounting topics and their practical and educational relations with local and international regulations, standards, and practices. It deals with new challenges and trends in accounting and reporting for organizations from different institutional sectors, including private, public, and non-profit ones. Covering topics such as creative accounting, financial reporting, and stakeholder participation, this premier reference source is an excellent resource for accountants, government officials, business leaders, managers, policymakers, students and educators of higher education, librarians, researchers, and academicians.

Explainable artificial intelligence is proficient in operating and analyzing the unconstrainted environment in fields like robotic medicine, robotic treatment, and robotic surgery, which rely on computational vision for analyzing complex situations. Explainable artificial intelligence is a well-structured customizable technology that makes it possible to generate promising unbiased outcomes. The model's adaptability facilitates the management of heterogeneous healthcare data and the visualization of biological structures through virtual reality. Explainable artificial intelligence has newfound applications in the healthcare industry, such as clinical trial matching, continuous healthcare monitoring, probabilistic evolutions, and evidence-based mechanisms. Principles and Methods of Explainable Artificial Intelligence in Healthcare discusses explainable artificial intelligence and its applications in healthcare, providing a broad overview of state-of-the-art approaches for accurate analysis and diagnosis. The book also encompasses computational vision processing techniques that handle complex data like physiological information, electronic healthcare records, and medical imaging data that assist in earlier prediction. Covering topics such as neural networks and disease detection, this reference work is ideal for industry professionals, practitioners, academicians, researchers, scholars, instructors, and students.

Data Science for COVID-19, Volume 2: Societal and Medical Perspectives presents the most current and leading-edge research into the applications of a variety of data science techniques for the detection, mitigation, treatment and elimination of the COVID-19 virus. At this point, Cognitive Data Science is the most powerful tool for researchers to fight COVID-19. Thanks to instant data-analysis and predictive techniques, including Artificial Intelligence, Machine Learning, Deep Learning, Data Mining, and computational modeling for processing large amounts of data, recognizing patterns, modeling new techniques, and improving both research and treatment outcomes is now possible.

This book shows how behavior analysis can be applied to teaching reading and writing to primary school students and to special populations, such as children with intellectual and hearing disabilities and illiterate adults. Originally published in Portuguese, this contributed volume is now translated into English and presents for the first time to international researchers and students a comprehensive overview of a research program developed for more than three decades in Brazil which gave birth to a unique teaching program based on the concept of stimulus equivalence: the Learning to Read and Write in Small Steps. The book is divided into four parts. The first part presents the theoretical framework and the historical context in which the teaching program was developed by the group led by Drs. Julio Cesar de Rose and Deisy das Graças de Souza, currently organized in the National Institute of Science and Technology on Behavior, Cognition, and Learning (INCT/ECCE). The second part describes the modules that make up the Learning to Read and Write in Small Steps teaching program. The third part presents results of empirical research conducted with children with intellectual and hearing disabilities and illiterate adults. Finally, the fourth part presents contributions from other areas of knowledge – such as speech therapy, linguistics, and education – to the understanding of reading and writing and possible dialogues between them and behavior analysis. Contributions of Behavior Analysis to Reading and Writing Comprehension will be of interest to researchers and students in the fields of psychology and education interested in the application of behavior analysis to teaching and learning processes. It will also be a valuable resource for professionals directly working in educational institutions, such as elementary school teachers and psycho-pedagogues.   The translation of the original manuscript in Portuguese was done with the help of artificial intelligence. The present version has been revised technically and linguistically by the authors in collaboration with a professional translator.

Wireless sensor networks have gained significant attention industrially and academically due to their wide range of uses in various fields. Because of their vast amount of applications, wireless sensor networks are vulnerable to a variety of security attacks. The protection of wireless sensor networks remains a challenge due to their resource-constrained nature, which is why researchers have begun applying several branches of artificial intelligence to advance the security of these networks. Research is needed on the development of security practices in wireless sensor networks by using smart technologies. Deep Learning Strategies for Security Enhancement in Wireless Sensor Networks provides emerging research exploring the theoretical and practical advancements of security protocols in wireless sensor networks using artificial intelligence-based techniques. Featuring coverage on a broad range of topics such as clustering protocols, intrusion detection, and energy harvesting, this book is ideally designed for researchers, developers, IT professionals, educators, policymakers, practitioners, scientists, theorists, engineers, academicians, and students seeking current research on integrating intelligent techniques into sensor networks for more reliable security practices.

Discussions around the preservation of privacy and confidential data of patients parallels discussions about innovation, effectiveness, and quality of care that the use of technology can provide in health services. The use of technology in the management of health services and in the provision of care in hospital establishments can pose ethical issues. An effective solution needs to be concocted before the use of this technology disturbs the privacy practices of today's healthcare systems. Emerging Trends and Innovations in Privacy and Health Information Management is a collection of innovative research on the methods and applications of the preservation of privacy and confidential data of patients. While highlighting topics including privacy laws, ethical issues, and healthcare security, this book is ideally designed for professionals and researchers working in the fields of health, social intervention, and information management.

In the field of second language (L2) acquisition, the number of studies focusing on L2 pronunciation instruction and perceptual/production training has increased as new classroom methodologies have been proposed and new goals for L2 pronunciation have been set. This book brings together different approaches to L2 pronunciation research in the classroom or in the language laboratory. 13 chapters, written by well-known researchers focusing on a variety of first and target languages, are divided into four parts: Pronunciation development and intelligibility: implications for teaching and training studies; L2 pronunciation teaching; L2 pronunciation training: implications for the classroom; and Pronunciation in the laboratory: High Variability Phonetic Training. Intended for researchers in the fields of second language acquisition, phonetics, phonology, psycholinguistics, speech therapies, speech technology, as well as second language teaching, this book not only summarizes the current research questions on L2 pronunciation teaching and training, but also predicts future scenarios for both researchers and practitioners in the field.

This book presents the state of the art of Internet of Things (IoT) from the perspective of healthcare and Ambient Assisted Living (AAL). It discusses the emerging technologies in healthcare services used for healthcare professionals and patients for enhanced living environments and public health. The topics covered in this book include emerging eHealth IoT applications, Internet of Medical Things, health sensors, and wearable sensors for pervasive and personalized healthcare, and smart homes applications for enhanced health and well-being. The book also presents various ideas for the design and development of IoT solutions for healthcare and AAL. It will be useful for bioengineers and professionals working in the areas of healthcare as well as health informatics.

This book presents case studies that share important experiences regarding Integrated Water Resource Management (IWRM) in various countries. Following an introduction to theoretical concepts, responsibilities, and challenges, the subsequent chapters address, among other topics, an analysis of policies and regulations for water management in Brazil, the drivers that led California to adapt to the IWRM framework, and the international regulations for water markets and water banking in Australia and Chile. The implications of climate change for water resource systems in Mexico are discussed, as well as management strategies from California that could potentially serve as IWRM adaptation schemes in Mexico. Critical cases from Guanacaste (Costa Rica), and from Zayandehrud River Basin and Lake Urmia (Iran) are reviewed in terms of management practices and solutions. The book also provides an overview of the current availability and use of water resources in South Korea, and discusses the management of and international water law instruments for transboundary groundwater in Africa.

This book explores the study of policies and practices in Higher Education by comparing systems, institutions, programs, innovations, results and cultures. In a rapidly changing global and international marketplace, the growth of higher education has occurred within distinct cultural contexts, meaning that change is reflected within local, regional, national and global perspectives. Using a single data methodology across countries and continents, the editors and contributors explore higher education reforms between global and local dimensions, the expansion of access and democratisation, and relevant aspects in the organisation and management of higher education. In doing so, this book arrives at an understanding of higher education at a truly intercultural level, which can lead to a deeper and more holistic understanding of policies and practices in higher education. This innovative book will be of interest and value to students and scholars of higher education across the world as well as the study of interculturality.

Quantum Chemistry Methods for Oncological Drugs provides a comprehensive reference text for student, researchers, and academic staff across disciplines working in the field of Nanobiotechnology, who need to grasp the unique inter-relationship of the physical, chemical, and biological properties of oncological drugs and their interactions. It provides a theoretical/computational framework based on quantum chemistry and addresses key questions in which detailed analysis and precise predictions are always required. The sophisticated molecular recognition of various natural biological materials has been used in the formation of a complex network of structures potentially useful for a variety of pharmaceutical applications. They offer solutions to many of the obstacles that need to be overcome, with accuracy not feasible with the technologies usually available in materials science. Important common challenges presented in this book are aspects related to the biology of cancer using our immunological checking points, specialized proteins that act as brakes in the immune system, allowing it to recognize and attack more efficiently only the cancer cells, avoiding the destruction of healthy cells as in conventional chemotherapy and radiotherapy treatments. This book is devoted to this burgeoning area of Nanobiotechnology for oncological drugs and will be valuable in covering the new developments that have occurred in the last decade or so. It is aimed at graduate students, faculty members and other researchers in physics, chemistry, biology, pharmacology, and medicine.

This book features selected papers presented at the International Conference on Information Management and Machine Intelligence (ICIMMI 2019), held at the Poornima Institute of Engineering & Technology, Jaipur, Rajasthan, India, on December 14-15, 2019. It covers a range of topics, including data analytics; AI; machine and deep learning; information management, security, processing techniques and interpretation; applications of artificial intelligence in soft computing and pattern recognition; cloud-based applications for machine learning; application of IoT in power distribution systems; as well as wireless sensor networks and adaptive wireless communication.

This book is an interdisciplinary and accessible guide to environmental physics. It allows readers to gain a more complete understanding of physical process and their interaction with ecological ones underpin important environmental issues. The book covers a wide range of topics within environmental physics, including: * natural and anthropogenic canopies, including forests, urban or wavy terrains;* the fundamentals of heat transfer;* atmospheric flow dynamics;* global carbon budget;* climate change; and* the relevance of biochar as a global carbon sink. Including solved exercises, numerous illustrations and tables, as well as an entire chapter focused on applications, book is of interest to researchers, students and industrial engineers alike.

This textbook provides a basic introduction to ethnobiology with key concepts for beginners. It is also written for those who teach ethnobiology or related fields. The core issues and concepts, as well as approaches and theoretical positions are fully covered.

This proceedings volume presents a selection of peer-reviewed contributions from the Second Non-Associative Algebras and Related Topics (NAART II) conference, which was held at the University of Coimbra, Portugal, from July 18–22, 2022. The conference was held in honor of mathematician Alberto Elduque, who has made significant contributions to the study of non-associative structures such as Lie, Jordan, and Leibniz algebras.  The papers in this volume are organized into four parts: Lie algebras, superalgebras, and groups; Leibniz algebras; associative and Jordan algebras; and other non-associative structures. They cover a variety of topics, including classification problems, special maps (automorphisms, derivations, etc.), constructions that relate different structures, and representation theory. One of the unique features of NAART is that it is open to all topics related to non-associative algebras, including octonion algebras, composite algebras, Banach algebras, connections with geometry, applications in coding theory, combinatorial problems, and more. This diversity allows researchers from a range of fields to find the conference subjects interesting and discover connections with their own areas, even if they are not traditionally considered non-associative algebraists.  Since its inception in 2011, NAART has been committed to fostering cross-disciplinary connections in the study of non-associative structures.