You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
The author of the #1 New York Times bestseller Think Like a Monk offers a revelatory guide to every stage of romance, drawing on ancient wisdom and new science. Nobody sits us down and teaches us how to love. So we’re often thrown into relationships with nothing but romance movies and pop culture to help us muddle through. Until now. Instead of presenting love as an ethereal concept or a collection of cliches, Jay Shetty lays out specific, actionable steps to help you develop the skills to practice and nurture love better than ever before. He shares insights on how to win or lose together, how to define love, and why you don’t break in a break-up. Inspired by Vedic wisdom and modern science, he tackles the entire relationship cycle, from first dates to moving in together to breaking up and starting over. And he shows us how to avoid falling for false promises and unfulfilling partners. By living Jay Shetty’s eight rules, we can all love ourselves, our partner, and the world better than we ever thought possible.
This book tells the story of avid marathoner Chan Meng Hui, who took up running when he was in his 50s and successfully finished 101 marathons when he passed away at the age of 89. A truly inspiring, as well as determined, disciplined, cheerful and jovial person, Chan was a joy to chat to and spend time with. He never failed to bring a smile to my face. I feel blessed to have known him and to have been able to call him a friend. He lived a full life pursuing his passions. But he is not gone forever; his spirit continues to live on. I hope that by reading this book, you too, will be inspired by Chan, as I have been.
The fifth edition of this widely used book by caregivers brings to you updated and revised content, built on the basic understanding that medicine does not work in a vacuum, but rather alongside other disciplines to provide the environment for a healthy and fulfilling long life. Edited by alumni and senior faculty at McGill University, with international contributions, this book advocates the achievement of better, longer, satisfying, and more productive lives for older persons. It is a helpful resource for physicians, professional caregivers, therapists, students, and residents in medical and nursing disciplines, who care for our burgeoning older population and need to know what to look for...
PCMag.com is a leading authority on technology, delivering Labs-based, independent reviews of the latest products and services. Our expert industry analysis and practical solutions help you make better buying decisions and get more from technology.
Singapore's leading tech magazine gives its readers the power to decide with its informative articles and in-depth reviews.
Zusammenfassung: This book constitutes the proceedings of the 28th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2024, held in Cambridge, MA, USA, during April 29-May 2, 2024. The 57 full papers included in this book were carefully reviewed and selected from 352 submissions. They were organized in topical sections as follows: theoretical and foundational algorithm contributions and more applied directions that engage with new technologies and intriguing biological questions
This book constitutes the proceedings of the 21th Annual Conference on Research in Computational Molecular Biology, RECOMB 2017, held in Hong Kong, China, in May 2017. The 22 regular papers presented in this volume were carefully reviewed and selected from 184 submissions. 16 short abstracts are included in the back matter of the volume. They report on original research in all areas of computational molecular biology and bioinformatics
None
This book constitutes the refereed proceedings of the 10th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2006, held in Singapore in April 2006. The 67 revised full papers and 33 revised short papers presented together with 3 invited talks were carefully reviewed and selected from 501 submissions. The papers are organized in topical sections on Classification, Ensemble Learning, Clustering, Support Vector Machines, Text and Document Mining, Web Mining, Bio-Data Mining, and more.
The story of a boy, a fox, and a whole lot of ecchi... Kevin Swift has the worst luck with women. It's not that he's unattractive or even unpopular. He just can't talk to them. He blames it on all those Shōnen love comedies he enjoys watching. Fortunately, or unfortunately―depending on who's asking―Kevin's love life is about to start looking up. After saving a fox's life Kevin discovers that he actually rescued a Kitsune, a shape-shifter capable of transforming into a beautiful girl who appears to have popped right out of the pages to a Shōnen manga. Her name is Lilian, and she apparently wants to mate with him. Between dealing with an overly amorous vixen's zealous attempts at getting into his pants, his inability to talk to girls and school, Kevin is going to have his hands full.