Laura Mitchell

Bridie Howe

D. Ashley Price

Babiker Elawad

K. Nathan Sankar

The Oxford Handbook of Genitourinary Medicine, HIV, and Sexual Health returns for a third edition, fully updated to encompass the changes in the British Association for Sexual Health and HIV, British HIV Association, and Faculty of Sexual & Reproductive Healthcare guidelines and recommendations. Developments in sexual healthcare provision, including identifying child sexual exploitation, legal obligations in regard to female genital mutilation, and gender diversity, are covered in new chapters and topics. HIV management is covered in greater detail, including PrEP for prophylaxis, drug interactions during treatment, and antiretroviral toxicity, with expanded topics on managing pregnancy with HIV. More colour plates are included, to feature a greater number of common dermatological presentations in genitourinary medicine and HIV to better aid diagnosis. Maintaining the concise yet comprehensive style of the Oxford Handbook series, The Oxford Handbook of Genitourinary Medicine, HIV, and Sexual Health provides a wealth of detailed, evidence-based, and clinically focused information on all aspects of the discipline, from STI diagnosis and management to medico-legal issues. This Handbook is a key single reference work for healthcare professionals, sexual health specialists, trainee doctors, and nurses with an interest in the field, making it an indispensable resource to keep on hand at all times.

Oxford Handbook of GUM and HIV

Simon J. Littlewood

Hailed as 'superb', 'thorough', and 'contemporary', this is the essential orthodontics text for all staff involved in orthodontic treatment, whether they are dental students, orthodontic therapists, postgraduate students at the beginning of their career, or more experienced clinicians wanting an evidence-based, concise update on the foundations of contemporary orthodontic care. With over 700 illustrations and plenty of case studies, An Introduction to Orthodontics, Fifth Edition is a user-friendly introduction to the subject. Continuing its well-deserved reputation, it is the perfect starting point for learning key concepts and the practical aspects of orthodontics. The new fifth edition has been completely updated to reflect contemporary practice, including a new chapter dedicated to hypodontia and orthodontics, and a new chapter on the fastest growing area in orthodontics, clear aligners. Readers will find further reading and references at the end of each chapter, including references to appropriate Cochrane Reviews to aid revision and support clinical practice. Learning objectives, key points boxes, and instructive artwork make this an essential text for busy readers who need focused and practical learning.

An Introduction to Orthodontics

Bridget Doubleday

Zararna L. Nelson-Moon

The third edition of this most popular text has a proven track record, covering all aspects of clinical orthodontics in an engaging style. Coverage ranges from treatment planning in children to management of the adult dentition. A new colour design encapsulates the presentation of the innovations in the text.

Anita Mangan

Lindsay Hamilton

This book is for upper-level students, managers and academics who are interested in exploring the Šmessy reality� of the contemporary workplace and in considering how things might be done differently. In particular, it offers a critical perspective on

Contemporary Issues in Management

Oxford Handbook of Genitourinary Medicine, HIV, and Sexual Health

Gunter Kreutz

Raymond MacDonald

Music has a universal and timeless potential to influence how we feel, yet, only recently, have researchers begun to explore and understand the positive effects that music can have on our wellbeing.This book brings together research from a number of disciplines to explore the relationship between music, health and wellbeing.

Music, Health, and Wellbeing

David A. Mitchell

Lorna McCaul

This handbook covers the whole of clinical dentistry in a concise, easy to read format. It is suitable for and read by both undergraduate and qualified dentists. It is the largest selling book in this field and this new edition has been extensively rewritten, including a new chapter and contains many more pictures and diagrams in full colour. It has been recommended by reviewers as an essential purchase for ALL dental students and the qualified practitioner. InDentistry this is the book they all buy.

Oxford Handbook of Clinical Dentistry

David Mitchell

This essential pocket guide covers clinical dentistry in a concise format. All the fundamentals of clinical practice are included in a readily accessible style. Now completely revised, it includes a wealth of new information and full colour throughout.

Vishnu Subramanian

Sri. Yogesh K.

Build and train neural network models with high speed and flexibility in text, vision, and advanced analytics using PyTorch 1.x Key Features Gain a thorough understanding of the PyTorch framework and learn to implement neural network architectures Understand GPU computing to perform heavy deep learning computations using Python Apply cutting-edge natural language processing (NLP) techniques to solve problems with textual data Book Description PyTorch is gaining the attention of deep learning researchers and data science professionals due to its accessibility and efficiency, along with the fact that it's more native to the Python way of development. This book will get you up and running with this cutting-edge deep learning library, effectively guiding you through implementing deep learning concepts. In this second edition, you'll learn the fundamental aspects that power modern deep learning, and explore the new features of the PyTorch 1.x library. You'll understand how to solve real-world problems using CNNs, RNNs, and LSTMs, along with discovering state-of-the-art modern deep learning architectures, such as ResNet, DenseNet, and Inception. You'll then focus on applying neural networks to domains such as computer vision and NLP. Later chapters will demonstrate how to build, train, and scale a model with PyTorch and also cover complex neural networks such as GANs and autoencoders for producing text and images. In addition to this, you'll explore GPU computing and how it can be used to perform heavy computations. Finally, you'll learn how to work with deep learning-based architectures for transfer learning and reinforcement learning problems. By the end of this book, you'll be able to confidently and easily implement deep learning applications in PyTorch. What you will learn Build text classification and language modeling systems using neural networks Implement transfer learning using advanced CNN architectures Use deep reinforcement learning techniques to solve optimization problems in PyTorch Mix multiple models for a powerful ensemble model Build image classifiers by implementing CNN architectures using PyTorch Get up to speed with reinforcement learning, GANs, LSTMs, and RNNs with real-world examples Who this book is for This book is for data scientists and machine learning engineers looking to work with deep learning algorithms using PyTorch 1.x. You will also find this book useful if you want to migrate to PyTorch 1.x. Working knowledge of Python programming and some understanding of machine learning will be helpful.

Laura Mitchell

About

Books

Join the club