2021 Vision
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Author | : Hannah Fairbairn |
Publisher | : Charles C Thomas Publisher |
Total Pages | : 197 |
Release | : 2019-07-05 |
Genre | : Education |
ISBN | : 0398092826 |
This book was first projected in 2004, when Author Hannah Fairbairn was teaching interpersonal skills at the Carroll Center for the Blind in Newton, Massachusetts. The experiences of her adult students—and her own experience of sight lost—convinced her that everyone losing vision needs access to good information about the process of adjustment to losing sight and practical ways to use assertive speech. When You Can’t Believe Your Eyes is intended for anyone going through vision loss, their friends, and families. It will inform readers how to get expert professional help, face the trauma of loss, and navigate the world using speech more than sight. Each of the twelve chapters in the book contain many short sections and bullet-point lists, intended to facilitate access to the right information. It begins where you begin—at the doctor’s office or the hospital. Since vision loss takes many forms, there are suggestions for questions you might ask to get a clear diagnosis and the best treatment. Part One also has a description of legal blindness and possible prevention, advice about your job, and tips for life at home. Part Two is about believing in yourself as you deal with the loss, the anger, and the fear before you come up for air and consider training. Parts Three and Four describe using assertive speech and action in all kinds of settings as your independence and confidence increase. Part Five gives detailed information about everything from dating, and caring for babies to senior living, volunteering, and retaining your job. It is hoped that by reading and trying out the suggestions, the reader will recover full confidence, become a positive, assertive communicator, and lead a satisfying life. Because vision loss happens mostly in older years, the book is written with seniors particularly in mind. Professionals will also find it to be a useful resource for their patients.
Author | : Andrew Fabian |
Publisher | : Cambridge University Press |
Total Pages | : 351 |
Release | : 2021-08-26 |
Genre | : Science |
ISBN | : 1108944264 |
Arising from the 2019 Darwin College Lectures, this book presents essays from seven prominent public intellectuals on the theme of vision. Each author examines this theme through the lens of their own particular area of expertise, making for a lively interdisciplinary volume including chapters on neuroscience, colour perception, biological evolution, astronomy, the future of technology, computer vision, and the visionary core of science. Featuring contributions by professors of neuroscience Paul Fletcher and Anya Hurlbert, professor of zoology Dan-Eric Nilsson, the futurist Sophie Hackford, Microsoft distinguished scientist Andrew Blake, theoretical physicist and author Carlo Rovelli, and Dr Carolin Crawford, the Public Astronomer at the University of Cambridge, this volume will be of interest to anybody curious about how we see the world.
Author | : |
Publisher | : |
Total Pages | : 58 |
Release | : 1998 |
Genre | : Community development |
ISBN | : |
Author | : Oleg Konovalov |
Publisher | : John Wiley & Sons |
Total Pages | : 214 |
Release | : 2021-01-19 |
Genre | : Business & Economics |
ISBN | : 1119775914 |
Noted CEOs, academics, and military personnel share their experience as visionary leaders The Vision Code explores the concept of "vision" and leadership. The book reveals the secrets of building and executing a strong vision within any organization. Oleg Konovalov—an acclaimed global thought leader—draws together in one volume in-depth interviews with nineteen extraordinary global visionaries that represent a variety of industries and organizations. These leaders explain why a vision is needed, how to implement it, how to communicate a vision effectively, and how to live by it with integrity. As Konovalov explains, vision is a key leadership skill that can be developed as a practical business tool for leading a company today and into the future. The stories of the nineteen leaders reveal how to develop a compelling vision and follow through with the vision in order to inspire an entire workforce. When a leader taps into the power of "vision," he or she creates a more meaningful business experience and ultimately, a better life. This compelling book: Offers a guide for making the concept of vision a reality Provides the information needed to develop a clear and persuasive vision Contains an accessible guide to a much-needed skill Includes interviews with Marshall Goldsmith (#1 Leadership Thinker), Martin Lindstrom (#1 Branding Expert), Garry Ridge (Chairman and CEO of WD-40 Company) and many others Written for leaders at all levels in organizations and industries of any type The Vision Code is a must-have book for anyone who wants to develop the skill to become a visionary leader.
Author | : Moazzem Hossain |
Publisher | : Taylor & Francis |
Total Pages | : 317 |
Release | : 2022-12-30 |
Genre | : Business & Economics |
ISBN | : 100083199X |
The Sustainable Development Goals (SDGs) were introduced by the United Nations (UN) for all member nations with a total of 17 goals and 169 targets to be achieved between 2016 and 2030. The recent pandemic has presented more challenges to achieving the UN’s SDGs. This book examines Bangladesh’s ascendancy in socio-economic terms and the prospects of Bangladesh overcoming the challenges to become a higher-middle-income nation by 2030. This book traces the transformation of Bangladesh from 1996 through 2020 and examines various factors contributing to its success from rural economy, external support, manufacturing, and structural transformation to energy consumption. This book also looks at the challenges and opportunities for Bangladesh as the Fourth Industrial Revolution unfolds and as climate change, to which Bangladesh is highly vulnerable, escalates. This book will be a useful reference document for those who are interested in gaining more insights into inclusive growth and sustainable development from the case study of Bangladesh.
Author | : Bill Mantlo |
Publisher | : Marvel Entertainment |
Total Pages | : 472 |
Release | : 2021-01-13 |
Genre | : Comics & Graphic Novels |
ISBN | : 1302935364 |
Collects Giant-Size Avengers (1974) #4, Vision and the Scarlet Witch (1982) #1-4, Vision and the Scarlet Witch (1985) #1-12, West Coast Avengers (1985) #2. The unlikely romance between the Vision and the Scarlet Witch is one of the most famous Avengers storylines of all! Now, witness what happens when the two heroes finally get married and settle down in the suburbs! If you think they’re going to live the quiet life, think again! Wanda embraces her sorcerous heritage — but can a revelation about her family tree be believed? The Vision’s past threatens their future, as Ultron and the Grim Reaper strike! And things get even stranger when Wanda’s magic spells lead to the couple becoming…a family! That’s right, despite all odds the Scarlet Witch is pregnant — and now Wanda and Vision must prepare for the biggest responsibility of their lives!
Author | : Ullrich Köthe |
Publisher | : Springer Nature |
Total Pages | : 648 |
Release | : |
Genre | : |
ISBN | : 3031546059 |
Author | : Shuqiang Wang |
Publisher | : Frontiers Media SA |
Total Pages | : 129 |
Release | : 2023-10-05 |
Genre | : Science |
ISBN | : 2832535070 |
Author | : Simon J.D. Prince |
Publisher | : MIT Press |
Total Pages | : 544 |
Release | : 2023-12-05 |
Genre | : Computers |
ISBN | : 0262048647 |
An authoritative, accessible, and up-to-date treatment of deep learning that strikes a pragmatic middle ground between theory and practice. Deep learning is a fast-moving field with sweeping relevance in today’s increasingly digital world. Understanding Deep Learning provides an authoritative, accessible, and up-to-date treatment of the subject, covering all the key topics along with recent advances and cutting-edge concepts. Many deep learning texts are crowded with technical details that obscure fundamentals, but Simon Prince ruthlessly curates only the most important ideas to provide a high density of critical information in an intuitive and digestible form. From machine learning basics to advanced models, each concept is presented in lay terms and then detailed precisely in mathematical form and illustrated visually. The result is a lucid, self-contained textbook suitable for anyone with a basic background in applied mathematics. Up-to-date treatment of deep learning covers cutting-edge topics not found in existing texts, such as transformers and diffusion models Short, focused chapters progress in complexity, easing students into difficult concepts Pragmatic approach straddling theory and practice gives readers the level of detail required to implement naive versions of models Streamlined presentation separates critical ideas from background context and extraneous detail Minimal mathematical prerequisites, extensive illustrations, and practice problems make challenging material widely accessible Programming exercises offered in accompanying Python Notebooks
Author | : Massih-Reza Amini |
Publisher | : Springer Nature |
Total Pages | : 722 |
Release | : 2023-03-16 |
Genre | : Computers |
ISBN | : 3031264096 |
The multi-volume set LNAI 13713 until 13718 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2022, which took place in Grenoble, France, in September 2022. The 236 full papers presented in these proceedings were carefully reviewed and selected from a total of 1060 submissions. In addition, the proceedings include 17 Demo Track contributions. The volumes are organized in topical sections as follows: Part I: Clustering and dimensionality reduction; anomaly detection; interpretability and explainability; ranking and recommender systems; transfer and multitask learning; Part II: Networks and graphs; knowledge graphs; social network analysis; graph neural networks; natural language processing and text mining; conversational systems; Part III: Deep learning; robust and adversarial machine learning; generative models; computer vision; meta-learning, neural architecture search; Part IV: Reinforcement learning; multi-agent reinforcement learning; bandits and online learning; active and semi-supervised learning; private and federated learning; . Part V: Supervised learning; probabilistic inference; optimal transport; optimization; quantum, hardware; sustainability; Part VI: Time series; financial machine learning; applications; applications: transportation; demo track.