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CHINGLISH: the amazing English that is written and spoken by Chinese citizens who have studied English as a second language. CHINGLISH is expressive, colorful and often poetic as depicted in the photographs and verse contained in this book. Of the thousands of photographs Mr. Harris took during his two years in China, those of business and tourist signs in CHINGLISH are most unique. Impressed with the quality of his students' essays, he collected the most expressive CHINGLISH sentences. In both photographs and verse the reader is invited to TAY ATTENT ION to CHINGLISH.
The implicit background of this book consists of an optimistic approach to creating mind forms that improve the condition of humanity, deriving from the legends of Christ and the Buddha and the experiences of mystics in both Eastern and Western cultures, as well as from psychoanalytic thought. This book is divided into four parts. The first is a brief introduction to Bion himself - it assumes a certain degree of familiarity with his life and work and includes only what is essential to understanding the work on which this book is centred. The second part is an explication of the main thesis, demonstrating how Bion articulates his theory and system of the transformation of the immaterial elements which constitute the psyche. The third part elucidates views on therapeutic techniques - the author's own and those of Bion. Touching on the routes available to those wishing to become therapists it also discusses the demands this may place on those in a position to help, be they teachers, supervisors or more experienced fellow therapists.
[Siren Publishing: The Lynn Hagen ManLove Collection: Erotic Romance, Contemporary, Alternative, Paranormal, Werewolves, Shape-shifters, Romantic Suspense, MM, HEA] After Jaylen’s boyfriend strikes him across the face, he’s done. Only, he has to sneak to get away from Michael. Jaylen ends up at Loose Lips in Willow Point, ready to drown his sorrows. If only the hot bartender named Tay would leave him alone. Tay is determined to flirt with Jaylen, and Jaylen wants no part of that, until he’s stranded on the back road with a flat tire. Tay comes to his rescue, offering more than Jaylen could ever hope for. As soon as Tay leaned on the bar, talking to Jaylen, he knew the human was his mate. Now he’s resolved to find out who put that bruise on Jaylen’s handsome face. A little bartender therapy goes a long way, helping Jaylen to open up and let Tay in. When Jaylen’s landlord, Cody, evicts Michael, Jaylen’s ex-boyfriend wants revenge, and Tay is just as determined not to let that happen. Lynn Hagen is a Siren-exclusive author.
Tay is trying to settle into his new life with a group of strangers who call themselves his family. Even Willow has deserted him. Then he meets Wisp, and things look up – until a shadow assassin attempts to kill him, Cale traps his shadow in a gem and the only way to save him appears to be a mad wizard. What can possibly top all that? Meeting a hundred-thousand-year-old king and his dragon friend, the very dragon on whom the entire city is built.
This two-volume set, LNCS 11317 and 12318, constitutes the thoroughly refereed proceedings of the 4th International Joint Conference, APWeb-WAIM 2020, held in Tianjin, China, in September 2020. Due to the COVID-19 pandemic the conference was organizedas a fully online conference. The 42 full papers presented together with 17 short papers, and 6 demonstration papers were carefully reviewed and selected from 180 submissions. The papers are organized around the following topics: Big Data Analytics; Graph Data and Social Networks; Knowledge Graph; Recommender Systems; Information Extraction and Retrieval; Machine Learning; Blockchain; Data Mining; Text Analysis and Mining; Spatial, Temporal and Multimedia Databases; Database Systems; and Demo.
This third edition handbook describes in detail the classical methods as well as extensions and novel approaches that were more recently introduced within this field. It consists of five parts: general recommendation techniques, special recommendation techniques, value and impact of recommender systems, human computer interaction, and applications. The first part presents the most popular and fundamental techniques currently used for building recommender systems, such as collaborative filtering, semantic-based methods, recommender systems based on implicit feedback, neural networks and context-aware methods. The second part of this handbook introduces more advanced recommendation techniques, such as session-based recommender systems, adversarial machine learning for recommender systems, group recommendation techniques, reciprocal recommenders systems, natural language techniques for recommender systems and cross-domain approaches to recommender systems. The third part covers a wide perspective to the evaluation of recommender systems with papers on methods for evaluating recommender systems, their value and impact, the multi-stakeholder perspective of recommender systems, the analysis of the fairness, novelty and diversity in recommender systems. The fourth part contains a few chapters on the human computer dimension of recommender systems, with research on the role of explanation, the user personality and how to effectively support individual and group decision with recommender systems. The last part focusses on application in several important areas, such as, food, music, fashion and multimedia recommendation. This informative third edition handbook provides a comprehensive, yet concise and convenient reference source to recommender systems for researchers and advanced-level students focused on computer science and data science. Professionals working in data analytics that are using recommendation and personalization techniques will also find this handbook a useful tool.
Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book -now revised in full color- shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library. Transformers have been used to write realistic news stories, improve Google Search queries, and even create chatbots that tell corny jokes. In this guide, authors Lewis Tunstall, Leandro von Werra, and Thomas Wolf, among the creators of Hugging Face Transformers, use a hands-on approach to teach you how transformers work and how to integrate them in your applications. You'll quickly learn a variety of tasks they can help you solve. Build, debug, and optimize transformer models for core NLP tasks, such as text classification, named entity recognition, and question answering Learn how transformers can be used for cross-lingual transfer learning Apply transformers in real-world scenarios where labeled data is scarce Make transformer models efficient for deployment using techniques such as distillation, pruning, and quantization Train transformers from scratch and learn how to scale to multiple GPUs and distributed environments
Research on attention has evolved dramatically in recent years. There are now many new ways of studying how we are able to select some aspects for processing, whilst ignoring others, and how we are able to combine tasks, learn skills and make intentional actions. Attention is increasingly seen as a complex process intimately linked with perception, memory and action. New questions are continually being addressed, for example in the area of cross modal attention, and the biological bases of attention. After an initial consideration of what attention might be, this book charts the development in the ideas and theories which surround the field. An entirely new chapter addresses the nature of auditory attention and the question of how visual and auditory attention are combined across modalities. The problems of task combination, skill acquisition and automaticity are also considered, as well as the selection and control of action, and conscious and unconscious processing. The Psychology of Attention, Second Edition provides a comprehensive and accessible introduction to this fascinating and rapidly developing field