Over the last few years, natural language processing has seen remarkable progress due to the emergence of larger-scale models, better training techniques, and greater availability of data. Examples of these advancements include GPT-4, ChatGPT, and other pre-trained language models. These models are capable of characterizing linguistic patterns and generating context-aware representations, resulting in high-quality output. However, these models rely solely on input-output pairs during train...

This book presents a comprehensive range of topics in deep learning for polymer discovery, from fundamental concepts to advanced methodologies. These topics are crucial as they address critical challenges in polymer science and engineering. With a growing demand for new materials with specific properties, traditional experimental methods for polymer discovery are becoming increasingly time-consuming and costly. Deep learning offers a promising solution by enabling rapid screening of potent...

The COVID-19 pandemic dominated the globe for at least three years, and infected a large proportion of the worldwide population. After the acute infection, many stay in poor health for months. The nature of this aftermath is not yet fully understood, therefore the management of this syndrome through biomedical therapy is not ideal. Health services are struggling to help those who are still suffering. The condition has now been recognised as post-COVID-19 syndrome (PCS) — providing a common...

This book covers up-to-date evidence of Rapid on-site evaluation (ROSE) for diagnosis of rare disease and used combined with metagenomic sequencing technique in clinical scenarios. ROSE has becoming an efficient interventional diagnostics tool and important reference for lung diseases differentiation, increasing the adequacy rate, diagnostic yield and accuracy of the interventional pulmonary procedures.ROSE has its value in the field of evaluating sampling adequacy for further immu...

In the fields of dynamical systems and control theory, a fractional-order system is a dynamical system that can be modeled by a fractional differential equation containing derivatives of non-integer order. In control systems, sliding mode control (SMC) is a nonlinear control method that alters the dynamics of a nonlinear system by applying a discontinuous control signal (or more rigorously, a set-valued control signal) that forces the system to "slide" along a cross-section of the system's...

This book provides an overview of the recent advances in representation learning theory, algorithms, and applications for natural language processing (NLP), ranging from word embeddings to pre-trained language models. It is divided into four parts. Part I presents the representation learning techniques for multiple language entries, including words, sentences and documents, as well as pre-training techniques. Part II then introduces the related representation techniques to NLP, including g...

Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in medicine, in finance, in security and beyond.This volume covers the basic theory and architecture of the major artificial neural networks. Uniquely, it presents 18 complete case studies of applications of neural networks in various fields, ranging from cell-shape classification to micro-trading i...

Dr. Randine Lewis, a leading global expert on female health using Chinese medicine, outlines her simple guidelines for a natural way to support your efforts to get pregnant.The Infertility Cure opens the door to new ideas about treating infertility that will dramatically increase your odds of getting pregnant —the natural way. Dr. Randine Lewis offers her advice and experience on diet, herbs, and acupressure, so that you can make use of her experience and ...

This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based...

The best of Eastern and Western medicine in an integrative healing system for the mind, body, and spirit.Now, for the first time, a Western physician and a doctor of Oriental medicine combine the unparalleled technological advances of the West with the unmatched wisdom and healing touch Chinese herbal medicine provides for many diseases and conditions that elude modern medicine. Ancient Herbs, Modern Medicine demonstrates the many important, highly effective ways C...

The Science of Deep Learning emerged from courses taught by the author that have provided thousands of students with training and experience for their academic studies, and prepared them for careers in deep learning, machine learning, and artificial intelligence in top companies in industry and academia. The book begins by covering the foundations of deep learning, followed by key deep learning architectures. Subsequent parts on generative models and reinforcement learning may be used as p...

Dr. Liu describes how he risked his life under the Communist regime in China to study Qi Gong and meet secretly with a master who lived in a mountain cave above Shanghai.If there is one concept that comes up in all forms of Chinese medicine it is that of Qi, or vital energy. Qi is the very backbone of the Chinese healing arts. It refers to the energy of the universe that is channeled from nature and runs through all of us. To have Qi is to be alive, while to have n...