Proceedings of the 5th International Conference on Intelligent Human Systems Integration (IHSI 2022): Integrating People and Intelligent Systems, February 22–24, 2022, Venice, Italy

The fourth edition of Dr. James Rippe’s classic Lifestyle Medicine textbook continues to lead and inform the rapidly growing field of lifestyle medicine. This is the discipline that focuses on the impact of daily habits and actions on both short- and long-term health and quality of life. The first edition of this comprehensive work named the field of lifestyle medicine in the academic medical literature. The fourth edition continues to span and expand the field and offers extensive evidence-based literature in virtually every aspect of lifestyle medicine. This Textbook, edited by cardiologist Dr. James Rippe, who is a leading lifestyle medicine researcher, represents the combined wisdom and recommendations of over 325 experts in virtually every aspect of lifestyle medicine. Chapter authors have been chosen because of their background as leaders in various aspects of lifestyle medicine. Lifestyle Medicine, Fourth Edition contains extensive sections on the treatment and prevention of coronary heart disease,stroke, cancer, diabetes, obesity, substance abuse, dementia, and many other clinical conditions. Key lifestyle modalities such as physical activity, nutrition, weight management, sleep, stress reduction, and positive connections with other humans are supported by detailed discussion and state-of-the-art evidence. The expanded section on behavioral medicine provides an important framework for these discussions. Every chapter has been completely revised and many new topics added, such as lifestyle medicine for nursing, psychiatry, and preventive neurology. The fourth edition of this classic text continues to serve as the leading, comprehensive textbook in lifestyle medicine. The original has been called the “indispensable bible” of lifestyle medicine, and the fourth edition of this work continues to justify this designation. There is no longer any serious doubt that daily habits and actions have a significant impact on multiple aspects of health. The fourth edition of Lifestyle Medicine provides the scientific evidence to support this assertion and will serve as an invaluable reference and guide, not only to lifestyle medicine practitioners but to all primary care physicians, subspecialty physicians, nurses, and other healthcare practitioners.

Practical Data Analytics for Innovation in Medicine: Building Real Predictive and Prescriptive Models in Personalized Healthcare and Medical Research Using AI, ML, and Related Technologies, Second Edition discusses the needs of healthcare and medicine in the 21st century, explaining how data analytics play an important and revolutionary role. With healthcare effectiveness and economics facing growing challenges, there is a rapidly emerging movement to fortify medical treatment and administration by tapping the predictive power of big data, such as predictive analytics, which can bolster patient care, reduce costs, and deliver greater efficiencies across a wide range of operational functions. Sections bring a historical perspective, highlight the importance of using predictive analytics to help solve health crisis such as the COVID-19 pandemic, provide access to practical step-by-step tutorials and case studies online, and use exercises based on real-world examples of successful predictive and prescriptive tools and systems. The final part of the book focuses on specific technical operations related to quality, cost-effective medical and nursing care delivery and administration brought by practical predictive analytics. Brings a historical perspective in medical care to discuss both the current status of health care delivery worldwide and the importance of using modern predictive analytics to help solve the health care crisis Provides online tutorials on several predictive analytics systems to help readers apply their knowledge on today’s medical issues and basic research Teaches how to develop effective predictive analytic research and to create decisioning/prescriptive analytic systems to make medical decisions quicker and more accurate

This book solicits meaningful contributions from key experts and practitioners that have been dealing with the emerging area of sustainability analytics. In doing so, readers would understand the cost, impact and performance of their sustainability initiatives. The book covers current analytical tools (eg: frameworks, standards, ESG indexes) to measure sustainability, and how these tools embed the Sustainable Development Goals (SDGs). In addition to that, a part of the book is also dedicated to the application of sustainability analytics, highlighting key challenges as well as the importance of engagement and communication in shaping the future direction of sustainability assessments. This book will be extremely useful to both researchers and practitioners who are looking for best--in-class practices to create value from their sustainability initiatives.

Today, in this smart era, data analytics and artificial intelligence (AI) play an important role in predictive maintenance (PdM) within the manufacturing industry. This innovative approach aims to optimize maintenance strategies by predicting when equipment or machinery is likely to fail so that maintenance can be performed just in time to prevent costly breakdowns. This book contains up-to-date information on predictive maintenance and the latest advancements, trends, and tools required to reduce costs and save time for manufacturers and industries. Data Analytics and Artificial Intelligence for Predictive Maintenance in Smart Manufacturing provides an extensive and in-depth exploration of the intersection of data analytics, artificial intelligence, and predictive maintenance in the manufacturing industry and covers fundamental concepts, advanced techniques, case studies, and practical applications. Using a multidisciplinary approach, this book recognizes that predictive maintenance in manufacturing requires collaboration among engineers, data scientists, and business professionals and includes case studies from various manufacturing sectors showcasing successful applications of predictive maintenance. The real-world examples explain the useful benefits and ROI achieved by organizations. The emphasis is on scalability, making it suitable for both small and large manufacturing operations, and readers will learn how to adapt predictive maintenance strategies to different scales and industries. This book presents resources and references to keep readers updated on the latest advancements, tools, and trends, ensuring continuous learning. Serving as a reference guide, this book focuses on the latest advancements, trends, and tools relevant to predictive maintenance and can also serve as an educational resource for students studying manufacturing, data science, or related fields.

CMA Part 1 Financial Planning Performance and Analytics 2022 [Study Book] contains 476 study points presented with a questioning mind approach and 40 essay questions to prepare for CMA exams. CMA Part 1 Study Guide 2022 is designed for working executives committed to earning CMA credentials within 6 months. The candidates need to give at least three hours on weekdays and at least six hours on weekends. CMA Exams are passed by understanding the core topics presented in the syllabus and applying them in real case scenarios. CMA Part 1 exam is more challenging as compared to CMA Part 2. That’s why this CMA Part 1 Study Book 2022 will help you in your certification journey! You will be tested at higher cognitive levels. CMA Exams are of continuous four hours’ duration taken by the Institute of Management Accountants (IMA), US. You have to solve 100 MCQs in three hours and 2 essay questions in the last one hour. The CMA exam is offered in the English Language. A dedicated section on Certified Management Accountant (CMA) Basic Information is added in the CMA Part 1 Study Guide 2022, which explains the proven strategies to clear the CMA Part 1 exam in the first attempt. CMA Part 1 Study Book 2022 lecture videos will be available from YouTube, which will give you the confidence to retain the topics in your heart. Do read the comments and ratings of my successful candidates from Facebook. This CMA Part 1 Study Material 2022 is ideal for all persons working in financial and management reporting positions. It is also equally good for those candidates who wish to learn the concepts and principles of Financial and Cost Management. Zain Academy aims to create the best CMA exam preparation materials at affordable pricing. You will get the integrated printable PDF book on subscription. It is optimized for all the screen sizes. You will be having the access as long as you wish to. There are no time and device restrictions. Let us work together towards the common goal of earning a Certified Management Accountant (CMA) credential. My support and guidance will be with you TILL YOU PASS THE EXAMS. You can ask as many questions as you wish to, either through WhatsApp (+92 311 222 4261) or Email, and I will answer to the best of my ability. Keep looking for the creativity, and don’t settle for the less. You have that potential. It is just a matter of time that you explore and discover yourself. Once you find yourself and your capability, you will never be the same again. Become the Limitless and Fearless!

The field of industrial engineering (IE) has a very wide scope, from production processes and automation to supply chain management, but the scope of IE techniques has expanded beyond the traditional domains of application, and is now relevant to areas that matter most to society at large. This book presents the proceedings of ICIEA 2023, the 10th International Conference on Industrial Engineering and Applications, held in Phuket, Thailand, from 4 to 6 April 2023. The conference was conducted in hybrid mode, with close to 100 delegates attending in person and about 50 participants attending online. A total of 272 submissions were received for the conference, of which 120 were accepted for presentation with 83 of those published here as full papers. These papers cover a wide range of topics within the scope of industrial and systems engineering, including but not limited to: supply chain and logistics; quality and reliability; advanced manufacturing; and production scheduling to ergonomics and man-machine systems interfaces. In particular, a significant number of papers are devoted to machine learning techniques and applications beyond the traditional manufacturing sector, to include healthcare, sustainability assessment, and other social issues. Offering an overview of recent research and novel applications, the book will be of interest to all those whose work involves the application of industrial engineering techniques.