Graph Machine Learning: Take graph data to the next level by applying machine learning techniques and algorithmsBuild machine learning algorithms using graph data and efficiently exploit topological information within your modelsKey Features: Implement machine learning techniques and algorithms in graph data Identify the relationship between nodes in order to make better business decisions Apply graph-based machine learning methods to solve real-life problemsBook Description:Graph Machine Learning will introduce you to a set of tools used for processing network data and leveraging the power of the relation between entities that can be used for predictive, modeling, and analytics tasks.The first chapters will introduce you to graph theory and graph machine learning, as well as the scope of their potential use.You'll then learn all you need to know about the main machine learning models for graph representation learning: their purpose, how they work, and how they can be implemented in a wide range of supervised and unsupervised learning applications. You'll build a complete machine learning pipeline, including data processing, model training, and prediction in order to exploit the full potential of graph data.After covering the basics, you'll be taken through real-world scenarios such as extracting data from social networks, text analytics, and natural language processing (NLP) using graphs and financial transaction systems on graphs. You'll also learn how to build and scale out data-driven applications for graph analytics to store, query, and process network information, and explore the latest trends on graphs.By the end of this machine learning book, you will have learned essential concepts of graph theory and all the algorithms and techniques used to build successful machine learning applications.What You Will Learn: Write Python scripts to extract features from graphs Distinguish between the main graph representation learning techniques Learn how to extract data from social networks, financial transaction systems, for text analysis, and more Implement the main unsupervised and supervised graph embedding techniques Get to grips with shallow embedding methods, graph neural networks, graph regularization methods, and more Deploy and scale out your application seamlesslyWho this book is for:This book is for data scientists, data analysts, graph analysts, and graph professionals who want to leverage the information embedded in the connections and relations between data points to boost their analysis and model performance using machine learning. It will also be useful for machine learning developers or anyone who wants to build ML-driven graph databases. A beginner-level understanding of graph databases and graph data is required, alongside a solid understanding of ML basics. You'll also need intermediate-level Python programming knowledge to get started with this book.ISBN 10: 1800204493ISBN 13: 9781800204492
Grays Anatomy: The Anatomical Basis of Clinical PracticeSusan Standring, MBE, PhD, DSc, FKC, Hon FAS, Hon FRCSTrust Gray’s. Building on over 160 years of anatomical excellenceIn 1858, Drs Henry Gray and Henry Vandyke Carter created a book for their surgical colleagues that established an enduring standard among anatomical texts. After more than 160 years of continuous publication, Gray’s Anatomy remains the definitive, comprehensive reference on the subject, offering ready access to the information you need to ensure safe, effective practice.This 42nd edition has been meticulously revised and updated throughout, reflecting the very latest understanding of clinical anatomy from the world’s leading clinicians and biomedical scientists.The book’s acclaimed, lavish art programme and clear text has been further enhanced, while major advances in imaging techniques and the new insights they bring are fully captured in state of the art X-ray, CT, MR and ultrasonic images.The accompanying eBook version is richly enhanced with additional content and media, covering all the body regions, cell biology, development and embryogenesis – and now includes two new systems-orientated chapters. This combines to unlock a whole new level of related information and interactivity, in keeping with the spirit of innovation that has characterised Gray’s Anatomy since its inception.Each chapter has been edited by international leaders in their field, ensuring access to the very latest evidence-based information on topicsOver 150 new radiology images, offering the very latest X-ray, multiplanar CT and MR perspectives, including state-of-the-art cinematic renderingThe downloadable Expert Consult eBook version included with your (print) purchase allows you to easily search all of the text, figures, references and videos from the book on a variety of devicesElectronic enhancements include additional text, tables, illustrations, labelled imaging and videos, as well as 21 specially commissioned ‘Commentaries’ on new and emerging topics related to anatomyNow featuring two extensive electronic chapters providing full coverage of the peripheral nervous system and the vascular and lymphatic systems.The result is a more complete, practical and engaging resource than ever before, which will prove invaluable to all clinicians who require an accurate, in-depth knowledge of anatomy.ISBN 10: 0702077054ISBN 13: 9780702077050
Guia prático de qualidade de vida como planejar e gerenciar o melhor programa para a sua empresaO interesse pelos programas de qualidade de vida nas organizações é cada vez maior. O alto custo da assistência médica, a necessidade de melhoria na produtividade, no clima organizacional e o envelhecimento da força de trabalho são alguns dos motivadores para a busca de soluções que atendam essas demandas. A necessidade de atender a estas demandas tem estimulado as organizações a lançar ações e programas de qualidade de vida. No entanto, observa-se um grande número de abordagens e iniciativas que variam de acordo com o tipo de empresa, sua localização geográfica, a formação profissional do gestor do programa e com as necessidades da organização. Neste contexto, o cenário é de organizações realizando inúmeras atividades, com ações lançadas, muitas vezes, sem planejamento prévio, com freqüente comprometimento do resultado final. Com este manual, os autores buscam oferecer dicas aos profissionais de qualidade de vida, aliando sua experiência profissional com a observação dos programas nacionais e metodologias de autores internacionais.ISBN 10: 8535235108ISBN 13: 9788535235104
Guia Prático do StoryboardInventado em 1927 nos estúdios da Disney, o storyboard constitui uma ferramenta essencial para a produção de um filme. Como primeira visualização de uma curta ou longa-metragem, de uma publicidade ou de um telefilme, o storyboard impõe-se em cada momento da produção de um filme, desde a sua preparação até à rodagem. Esta obra, vocacionada para o cinema de ficção, é da autoria dos pioneiros da associação de storyboarders franceses." Jean-Jacques Annaud escreveu no prefácio: "O storyboard foi o fiel companheiro da minha vida". Raphaël Saint-Vincent, investigador e historiador, é o fundador da "FNSBF - Fédération Nationale des Storyboardeurs Français", Raphaël Saint-Vincent fez do "storyboard" o seu combate.. Nos últimos anos tem liderado o combate pelo desenvolvimento europeu e internacional do "storyboard", tendo como princípio a protecção e a promoção do trabalho do artista. Olivier Saint-Vincent é professor de literaturas clássicas, cinéfilo e membro da "FNSBF - Fédération Nationale des Storyboardeurs Français". Remi Jacquinot é um reputado storyboardeur francês, membro da "FNSBF - Fédération Nationale des Storyboardeurs Français".ISBN 10: 9729973326ISBN 13: 9789729973321
Hallidays Introduction to Functional GrammarFully updated and revised, this fourth edition of Halliday's Introduction to Functional Grammar explains the principles of systemic functional grammar, enabling the reader to understand and apply them in any context. Halliday's innovative approach of engaging with grammar through discourse has become a worldwide phenomenon in linguistics.Updates to the new edition include: Recent uses of systemic functional linguistics to provide further guidance for students, scholars and researchers More on the ecology of grammar, illustrating how each major system serves to realise a semantic system A systematic indexing and classification of examples More from corpora, thus allowing for easy access to dataHalliday's Introduction to Functional Grammar, Fourth Edition, is the standard reference text for systemic functional linguistics and an ideal introduction for students and scholars interested in the relation between grammar, meaning and discourse.ISBN 10: 0415826284ISBN 13: 9780415826280
Handbook of Ecological Indicators for Assessment of Ecosystem Health -Applied Ecology and Environmental ManagementContinuing in the tradition of its bestselling predecessor, the Handbook of Ecological Indicators for Assessment of Ecosystem Health, Second Edition brings together world-class editors and contributors who have been at the forefront of ecosystem health assessment research for decades, to provide a sound approach to environmental management and sustainable development.Significantly updated and expanded, this authoritative resource details a proven framework for selecting, evaluating, and validating ecological indicators for ecosystem health assessment. It guides readers through the application of this framework to a wide range of ecosystems, including wetlands, estuaries, coastal zones, lakes, forests, marine ecosystems, lagoons, agricultural systems, landscapes, and rivers. The text synthesizes material from a variety of books, journals, and private research, to consider biodiversity, energy needs, ecological economics, and natural capital in the measurement of ecological health.Organized for ease of reference, the first part of the handbook provides the required theoretical background. It presents a complete overview of all relevant ecological indicators?including thermodynamics, resilience estimates, exergy, and emergy indicators. The second part focuses on how to effectively apply the ecological indicators to a number of important ecosystems. It includes many examples and case studies that clearly illustrate the advantages and disadvantages of each method for specific applications.Offering first-hand insight and practical guidance from practitioners in the field, this complete resource supplies the tools and the well-rounded understanding required to diagnose the health of virtually any ecosystem with much improved accuracy.ISBN 10: 1439809364ISBN 13: 9781439809365
Handbook of Research on Science Education Volume IIIVolume III of this landmark synthesis of research offers a comprehensive, state-of-the-art survey highlighting new and emerging research perspectives in science education. Building on the foundations set in Volumes I and II, Volume III provides a globally minded, up-to-the-minute survey of the science education research community and represents the diversity of the field. Each chapter has been updated with new research and new content, and Volume III has been further developed to include new and expanded coverage on astronomy and space education, epistemic practices related to socioscientific issues,design-based research, interdisciplinary and STEM education, inclusive science education, and the global impact of nature of science and scientific inquiry literacy. As with the previous volumes, Volume III is organized around six themes: theory and methods of science education research; science learning; diversity and equity; science teaching; curriculum and assessment; and science teacher education. Each chapter presents an integrative review of the research on the topic it addresses, pulling together the existing research, working to understand historical trends and patterns in that body of scholarship, describing how the issue is conceptualized within the literature, how methods and theories have shaped the outcomes of the research, and where the strengths, weaknesses, and gaps are in the literature. Providing guidance to science education faculty, scholars, and graduate students, and pointing towards future directions of the field, Handbook of Research on Science Education Research, Volume III offers an essential resource to all members of the science education community.ISBN 10: 036742889XISBN 13: 9780367428891
Handbook on the Geographies of InnovationThe geography of innovation is changing. Firstly, it is increasingly understood that innovative firms and organizations exhibit a wide variety of strategies, each differently attuned to diverse geographic contexts. Secondly, and concomitantly, the idea that cities, clusters and physical proximity are essential for innovation is evolving under the weight of new theorizing and empirical evidence. The aim of this Handbook is to break with the many ideas and concepts that emerged during the course of the 1980s and 1990s, and to fully take into account the new reality of the internet, mobile communication technologies, personal mobility and globalization.The Handbook gathers a new generation of ideas and authors to contribute to the debate, providing an empirically grounded critical appraisal of the prevailing knowledge on the geography of innovation. The 28 original chapters, written by a diverse range of scholars with widely differing views, present fresh empirical evidence and new perspectives relating to how innovation plays out across space in an age where mobility has increased, information is ubiquitous and globalization has been realized. Overall, the dialogue between existing theory and new possibilities provides a unique and challenging appraisal of the connection between innovation, agglomeration and space.Offering cutting-edge ideas in an accessible format, this will be an ideal resource for students and scholars of economic geography and innovation studies. The empirical evidence and analysis will also be of great value for policymakers and government officials.Contributors: B.T. Asheim, H.W. Aslesen, A. Bain, P.-A. Balland, N. Bradford, A. Bramwell, C. Brennan-Horley, S. Breschi, C. Carrincazeaux, C. Chaminade, R. Comunian, C. De Fuentes, D. Doloreux, D. Eckert, A. Faggian, M. Ferru, R.D. Fitjar, K. Flanagan, C. Gibson, M. Grillitsch, M. Grossetti, G. Harirchi, F. Huber, A. Isaksen, S. Jewell, J. Karlsen, J.-L. Klein, N. Komninos, N. Lee, F. Lissoni, M. Maisonobe, J. Mattes, P. McCann, C. Noumedem Temgoua, R. Ortega-Argilés, M. Plechero, A. Rallet, A. Rodriguez-Pose, R. Shearmur, H.L. Smith, B. Spigel, J. Tallec, F. Tödtling, E. Tranos, D.-G. Tremblay, M. Trippl, E. Uyarra, C. Yang, C. Wilkie, D.A. WolfeISBN 10: 1788972414ISBN 13: 9781788972413
Hands-On Graph Neural Networks Using Python: Practical techniques and architectures for building powerful graph and deep learning apps with PyTorchDesign robust graph neural networks with PyTorch Geometric by combining graph theory and neural networks with the latest developments and appsPurchase of the print or Kindle book includes a free PDF eBookKey Features: Implement state-of-the-art graph neural network architectures in Python Create your own graph datasets from tabular data Build powerful traffic forecasting, recommender systems, and anomaly detection applicationsBook Description:Graph neural networks are a highly effective tool for analyzing data that can be represented as a graph, such as social networks, chemical compounds, or transportation networks. The past few years have seen an explosion in the use of graph neural networks, with their application ranging from natural language processing and computer vision to recommendation systems and drug discovery.Hands-On Graph Neural Networks Using Python begins with the fundamentals of graph theory and shows you how to create graph datasets from tabular data. As you advance, you'll explore major graph neural network architectures and learn essential concepts such as graph convolution, self-attention, link prediction, and heterogeneous graphs. Finally, the book proposes applications to solve real-life problems, enabling you to build a professional portfolio. The code is readily available online and can be easily adapted to other datasets and apps.By the end of this book, you'll have learned to create graph datasets, implement graph neural networks using Python and PyTorch Geometric, and apply them to solve real-world problems, along with building and training graph neural network models for node and graph classification, link prediction, and much more.What You Will Learn: Understand the fundamental concepts of graph neural networks Implement graph neural networks using Python and PyTorch Geometric Classify nodes, graphs, and edges using millions of samples Predict and generate realistic graph topologies Combine heterogeneous sources to improve performance Forecast future events using topological information Apply graph neural networks to solve real-world problemsWho this book is for:This book is for machine learning practitioners and data scientists interested in learning about graph neural networks and their applications, as well as students looking for a comprehensive reference on this rapidly growing field. Whether you're new to graph neural networks or looking to take your knowledge to the next level, this book has something for you. Basic knowledge of machine learning and Python programming will help you get the most out of this book.ISBN 10: 1804617520ISBN 13: 9781804617526
Harrisons Principles of Internal Medicine, Twenty-Second Edition -Vol.1 & Vol.2The acclaimed, landmark guide to internal medicine?updated to reflect the latest guidelines and recommendationsThe Voice of Clinical ReasonFor more than seven decades, Harrison’s Principles of Internal Medicine has provided healthcare professionals with the informational foundation needed to provide optimal patient care. The world’s leading authority on applied pathophysiology and clinical medicine, this trusted resource has covered countless advances and developments across the full span of medicine.Fully updated, the new 22nd edition has been modified extensively in its structure and content and offers a standardized format for each disease chapter. The authors and editors have curated and synthesized the vast amount of information that comprises general internal medicine and each of the major specialties into a highly readable and informative resource.Harrison’s is world-renowned as the most authoritative source for:• Descriptions of disease mechanisms and how the clinician can apply that knowledge for the best patient care and optimal diagnosis and treatment of specific diseases• Clear, concise schemas that facilitate the generation of differential diagnoses to reason efficiently through complex real world clinical cases• The physiologic and epidemiologic basis of signs and symptoms, which are covered through a wealth of unsurpassed expert guidance and linked to the disease-specific chapters that follow• Updated clinical trial results and recommended guidelines• Excellent and extensive visual support, including radiographs, clinical photos, schematics, and high-quality drawings• Coverage of both therapeutic approaches and specific treatment regimens• Practical clinical decision trees and algorithms• Organ- and system-specific sections, with clinically relevant pathophysiology and practical clinical advice on the approach to the patient, strategies towards building a differential diagnosis, outstanding clinical algorithms and diagnostic schema, a wealth of clinical images and diagrams, current clinical guidelines, general and specific approaches to therapyThis twenty-second edition features:• Updated content that reflects new approved therapeutics and new practice-changing guidelines and evidence summaries• More than 3,000, clinical, pathological, and radiographic photographs, diagnostic and therapeutic decision trees, and clear schematics and diagrams describing pathophysiologic processes• Numerous atlases featuring curated collections of important visual aspects of diagnosis and management• Brand new chapters, including The Value of the Physical Examination in Modern Medicine, Physician Well-Being, Exercise Intolerance, Primary and Secondary Hemophagocytic Lymphohistiocytosis, Symptom Control in Patients with Cancer, Principles of Immunization, COVID and Other Coronavirus Infections, Desensitization, Point-of-Care Ultrasound, Placebo and Nocebo Effects, and Bedside Examination Tests in the Patient with Low Back Pain, Antithrombotic Therapy in Adult PatientsISBN 10: 1265979316ISBN 13: 9781265979317
Hidrologia e Recursos Hidricos - Colecao Ensino da Ciencia e da TecnologiaEsta obra constitui um contributo relevante para o ensino e a formação científica e profissional na área dos Recursos Hídricos e da Hidrologia, um domínio fundamental na gestão ambiental e na engenharia civil. Os autores, João Reis Hipólito e Álvaro Carmo Vaz, prestigiados docentes universitários em Portugal e em Moçambique, colocam a experiência e os conhecimentos adquiridos na prática profissional e académica à disposição dos jovens que irão enfrentar os desafios na referida área estratégica e vital para a Humanidade. Para além de constituir uma excelente iniciação didáctica e uma introdução rigorosa aos conceitos e conhecimentos básicos da Hidrologia e da Gestão de Recursos Hídricos, o livro é, também, uma obra de referência e consulta futura para os profissionais interessados nos aspectos fundamentais dos referidos tópicos. É de salientar, ainda, o facto de o presente livro ser o resultado da colaboração pessoal de dois especialistas oriundos de países geograficamente distantes mas com elos de ligação muito fortes. Constitui, assim, um exemplo e um sinal promissor de cooperação científica no seio da comunidade de países de língua oficial portuguesa, em prol do respectivo desenvolvimento e qualidade de vida.ISBN 10: 9728469861ISBN 13: 9789728469863
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