Up and Aware is a series in Life Skills and Value Education. It aims at imbibing the prescribed life skills and values in learners through kinaesthetic activities, stories, poems and craft work.

Up and Aware is a series in Life Skills and Value Education. It aims at imbibing the prescribed life skills and values in learners through kinaesthetic activities, stories, poems and craft work.

This unique, step-by-step guide for instructors offers a comprehensive approach to teaching pre-clerkship medical students -- as well as residents and even experienced physicians -- about the transformational impact of mindful medical practice, or mindful whole person care. Indeed, integrating contemplative practices – such as “presence” and “relationship” -- into medical education is an established but still rapidly growing approach to bringing experiential learning to medical students. This book gives the rationale for administering a mindful medical practice (MMP) course, details the moment to moment process for each of the 7 classes that are outlined, and summarizes a way forward for instructors. Pages of the book can be copied and used in class with students, and there are appendices that include helpful tools a teacher can immediately copy and hand out in each class. Handy, one-page templates are provided at the end of each chapter for teachers to use as a guide while teaching each class. A unique contribution to the medical literature and the increasing focus on mindful medical practice, MD Aware: A Mindfulness-Based Whole Person Care Course Guide for Physicians is not only the ideal resource for teachers interested in setting up an MMP course in a medical school; it is also an invaluable practical guide for any clinician hoping to learn more about the importance and benefits of offering mindful medical practice to patients – and to themselves as healers.

Up and Aware is a series in Life Skills and Value Education. It aims at imbibing the prescribed life skills and values in learners through kinaesthetic activities, stories, poems and craft work.

Mobile Sensors and Context-Aware Computing is a useful guide that explains how hardware, software, sensors, and operating systems converge to create a new generation of context-aware mobile applications. This cohesive guide to the mobile computing landscape demonstrates innovative mobile and sensor solutions for platforms that deliver enhanced, personalized user experiences, with examples including the fast-growing domains of mobile health and vehicular networking. Users will learn how the convergence of mobile and sensors facilitates cyber-physical systems and the Internet of Things, and how applications which directly interact with the physical world are becoming more and more compatible. The authors cover both the platform components and key issues of security, privacy, power management, and wireless interaction with other systems. Shows how sensor validation, calibration, and integration impact application design and power management Explains specific implementations for pervasive and context-aware computing, such as navigation and timing Demonstrates how mobile applications can satisfy usability concerns, such as know me, free me, link me, and express me Covers a broad range of application areas, including ad-hoc networking, gaming, and photography

This book provides formal and informal definitions and taxonomies for self-aware computing systems, and explains how self-aware computing relates to many existing subfields of computer science, especially software engineering. It describes architectures and algorithms for self-aware systems as well as the benefits and pitfalls of self-awareness, and reviews much of the latest relevant research across a wide array of disciplines, including open research challenges. The chapters of this book are organized into five parts: Introduction, System Architectures, Methods and Algorithms, Applications and Case Studies, and Outlook. Part I offers an introduction that defines self-aware computing systems from multiple perspectives, and establishes a formal definition, a taxonomy and a set of reference scenarios that help to unify the remaining chapters. Next, Part II explores architectures for self-aware computing systems, such as generic concepts and notations that allow a wide range of self-aware system architectures to be described and compared with both isolated and interacting systems. It also reviews the current state of reference architectures, architectural frameworks, and languages for self-aware systems. Part III focuses on methods and algorithms for self-aware computing systems by addressing issues pertaining to system design, like modeling, synthesis and verification. It also examines topics such as adaptation, benchmarks and metrics. Part IV then presents applications and case studies in various domains including cloud computing, data centers, cyber-physical systems, and the degree to which self-aware computing approaches have been adopted within those domains. Lastly, Part V surveys open challenges and future research directions for self-aware computing systems. It can be used as a handbook for professionals and researchers working in areas related to self-aware computing, and can also serve as an advanced textbook for lecturers and postgraduate students studying subjects like advanced software engineering, autonomic computing, self-adaptive systems, and data-center resource management. Each chapter is largely self-contained, and offers plenty of references for anyone wishing to pursue the topic more deeply.