The sudden outbreak of the COVID-19 pandemic has curbed human lifestyle by imposing restrictions on regular daily movements that had been taken for granted. Due to the pandemic, the welfare segment has received more attention, and every possible effort is being made to prioritize the services at the top. This can be made possible while using the latest tools, technologies, and resources that impact the human culture and welfare of well-being. Novel methods and devices that make the welfare services more efficient, adaptive, transparent, and cost-effective need to be explored. The Handbook of Research on Lifestyle Sustainability and Management Solutions Using AI, Big Data Analytics, and Visualization offers extensive research on lifestyle management and services that contribute towards indication, detection, conduction, protection, and technological enhancement including machine learning, deep learning, artificial intelligence, big data analytics, and visualization. It also provides mechanisms that can improve lifestyle monitoring and help in increasing the immunity of the human body. Covering topics such as big data, robot therapy, and wearable technology, it is ideal for students, researchers, technologists, IT specialists, computer engineers, systems engineers, data scientists, doctors, hospital administrators, engineers, academicians, and technology providers.

Sample Return Missions: The Last Frontier of Solar System Exploration examines the discoveries and results obtained from sample return missions of the past, present, and future. It analyses the results in the context of the current state of knowledge and their relation to the formation and evolution of planetary bodies, as well as to the available technologies and techniques. It provides detailed descriptions of experimental procedures applied to returned samples. Beginning with an overview of previous missions, Sample Return Missions then goes on to provide an overview of facilities throughout the world used to analyze the returned samples. Finally, it addresses techniques for collection, transport, and analysis of the samples, with an additional focus on lessons learned and future perspectives. Providing an in-depth examination of a variety of missions, with both scientific and engineering implications, this book is an important resource for the planetary science community, as well as the experimentalist and engineering communities.

This book offers an entirely new perspective on the alleged incompatibility between Aristotelian philosophy and the mathematical methods and principles that form the basis of modern science. It surveys the tradition of the Oxford Calculators from its beginnings in the fourteenth century until Leibniz and the philosophy of the seventeenth century and explores how their various techniques of quantification expanded the conceptual and methodological limits of Aristotelianism.

Today's "machine-learning" systems, trained by data, are so effective that we've invited them to see and hear for us-and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem. Systems cull resumes until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole-and appear to assess Black and White defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands. The mathematical and computational models driving these changes range in complexity from something that can fit on a spreadsheet to a complex system that might credibly be called "artificial intelligence." They are steadily replacing both human judgment and explicitly programmed software. In best-selling author Brian Christian's riveting account, we meet the alignment problem's "first-responders," and learn their ambitious plan to solve it before our hands are completely off the wheel. In a masterful blend of history and on-the ground reporting, Christian traces the explosive growth in the field of machine learning and surveys its current, sprawling frontier. Readers encounter a discipline finding its legs amid exhilarating and sometimes terrifying progress. Whether they-and we-succeed or fail in solving the alignment problem will be a defining human story. The Alignment Problem offers an unflinching reckoning with humanity's biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture-and finds a story by turns harrowing and hopeful.

From the hair of a famous dead poet to botanical ornaments and meat pies, the subjects of this book are dynamic, organic artifacts. A cross-disciplinary collection of essays, Organic Supplements examines the interlaced relationships between natural things and human beings in early modern and eighteenth-century Europe. The material qualities of things as living organisms - and things that originate from living organisms - enabled a range of critical actions and experiences to take place for the people who wore, used, consumed, or perceived them.

In the current scenario of Forensic Science and Criminal Investigation, experts are facing many challenges due to huge amounts of data, tiny pieces of evidence in the chaotic and complex environment, traditional laboratory structures and sometimes insufficient knowledge which may lead to failure of investigation or miscarriage of justice. Artificial Intelligence and imaging technologies are the promising solutions to address these challenges with case based reasoning for errorless, objective and reproducible results in various fields of forensics. This book will not only provide a platform for researchers to present state of the art technologies, but will be a reference for law enforcement to use for crime investigation along with researchers in the field .

The world is undergoing a transformation as technology enters every ecosystem. Subsequently, there is a need to develop higher-order digital skills to ensure one's employability as professionals need to build digital competencies to remain competitive in the current work environment. Additionally, businesses must also continue to update their digital practices in order to remain relevant. Multidisciplinary Perspectives Towards Building a Digitally Competent Society explores multidisciplinary perspectives towards building a more digitally competent society, considers new business models and the need for organizations and individuals to develop the right mindset to embrace digitalization, and discusses how social capital can become a key driver in crafting a whole new digitally competent social fabric. Covering topics such as technological transformation, social media, and corporate social responsibility, this reference work is ideal for corporate practitioners, business owners, policymakers, scholars, researchers, practitioners, instructors, and students.

Research methodology is as old as academia itself. Research methodology shifts in strategy as it crosses different disciplines and theories. This, too, is true with the shifting landscape of research opportunities and technologies available to global researchers. To achieve the most accurate and substantial research, it is important to be knowledgeable of emerging research methodologies. The Research Anthology on Innovative Research Methodologies and Utilization Across Multiple Disciplines discusses the most recent global research innovations made across multiple fields. This anthology further discusses how these research methodologies can be applied to a variety of specific fields. Covering topics such as creative thinking, qualitative research, and the research method landscape, this book is essential for students and faculty of higher education, scientists, researchers, sociologists, computer scientists, and academicians.