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History and physical for the pediatric dental patient: establishing a systematic approach for procedural sedation
Serves as a quick reference for all dentists who perform physical exam before the sedation and treatment of pediatric patients. In the dental care setting, pediatric patients present unique challenges to proper sedation and management of dental pathology. A prior history and physical exam is often absent. Learning how to properly conduct a history and physical exam on Pediatric patients is an essential skill for dentists, and has significant implications for parents, patients, and our healthcare system. This book aims for a comprehensive coverage of the review of systems, improve patient care and identify possible complications in pediatric sedation.
Highway engineering : Planning, design, and operations ; 2nd ed.
Presents a clear and rigorous exposition of highway engineering concepts, including project development and the relationship between planning, operations, safety and highway types. The book includes important topics such as corridor selection and traverses, horizontal and vertical alignment, design controls, basic roadway design, cross section elements, intersection and interchange design, and the integration of new vehicle technologies and trends. It also presents end of chapter exercises to further aid understanding and learning. This edition has been fully updated with the current design policies and reference manuals essential for highway, transportation, and civil engineers who are required to work to these standards.
High-quality outdoor learning : Evidence-based education Outside the classroom for children, teachers and society
Reviews evidence and case studies on the effects of outdoor learning on teachers and learners. It shows how real-world learning outside the classroom contributes to unlocking the full potential of learners, demonstrating its benefits for academic learning, social competencies, personal and emotional development, psychological well-being, and physical activity and health. In addition, the book highlights how outdoor learning nurtures environmental awareness and helps learners to tackle current sustainability challenges. Its focus on high-quality learning makes it a unique contribution to the implementation of SDG 4. Aimed at lecturers at teacher training universities, teachers, professional educators, coaches, and multipliers who train staff of educational NGOs, as well as decision makers on all levels of education systems, this book is of interest to all those who seek a more in-depth understanding of the future of education.
Higher Education Landscape 2030 : A Trend Analysis Based on the AHEAD International Horizon Scanning
The digital transformation clearly highlights the role of universities and institutes of higher education in shaping a higher education system that is more open and provides education to everyone who can benefit from it
Higher Education in the Era of the Fourth Industrial Revolution
This collection examines how higher education responds to the demands of the automation economy and the fourth industrial revolution. Considering significant trends in how people are learning, coupled with the ways in which different higher education institutions and education stakeholders are implementing adaptations, it looks at new programs and technological advances that are changing how and why we teach and learn. The book addresses trends in liberal arts integration of STEM innovations, the changing role of libraries in the digital age, global trends in youth mobility, and the development of lifelong learning programs.
High performance computing for drug discovery and biomedicine
Explores the application of high-performance computing (HPC) technologies to computational drug discovery (CDD) and biomedicine. Collects CDD approaches that, together with HPC, can revolutionize and automate drug discovery process, such as knowledge graphs, natural language processing (NLP), Bayesian optimization, automated virtual screening platforms, alchemical free energy workflows, fragment-molecular orbitals (FMO), HPC-adapted molecular dynamic simulation (MD-HPC), and the potential of cloud computing for drug discovery. And delves into computational algorithms and workflows for biomedicine, featuring an HPC framework to assess drug-induced arrhythmic risk, digital patient applications relevant to the clinic, virtual human simulations, cellular and whole-body blood flow modeling for stroke treatments, prediction of the femoral bone strength from CT data, and many more subjects.
High accuracy detection of mobile malware using machine learning
As increasingly sophisticated and evasive malware attacks continue to emerge, more effective detection solutions to tackle the problem are being sought through the application of advanced machine learning techniques. This reprint presents several advances in the field including: a new method of generating adversarial samples through byte sequence feature extraction using deep learning; a state-of-the-art comparative evaluation of deep learning approaches for mobile botnet detection; a novel visualization-based approach that utilizes images for Android botnet detection; a study on the detection of drive-by exploits in images using deep learning; etc. Furthermore, this reprint presents state-of-the-art reviews about machine learning-based detection techniques that will increase researchers' knowledge in the field and enable them to identify future research and development directions.
Hierarchical Bayesian Optimization Algorithm : Toward a New Generation of Evolutionary Algorithms
This book provides a framework for the design of competent optimization techniques by combining advanced evolutionary algorithms with state-of-the-art machine learning techniques. The book focuses on two algorithms that replace traditional variation operators of evolutionary algorithms by learning and sampling Bayesian networks: the Bayesian optimization algorithm (BOA) and the hierarchical BOA (hBOA). BOA and hBOA are theoretically and empirically shown to provide robust and scalable solution for broad classes of nearly decomposable and hierarchical problems. A theoretical model is developed that estimates the scalability and adequate parameter settings for BOA and hBOA. The performance of BOA and hBOA is analyzed on a number of artificial problems of bounded difficulty designed to test BOA and hBOA on the boundary of their design envelope.
Hebbian Learning and Negative Feedback Networks
This book is the outcome of a decade’s research into a speci?c architecture and associated learning mechanism for an arti?cial neural network: the - chitecture involves negative feedback and the learning mechanism is simple Hebbian learning. The research began with my own thesis at the University of Strathclyde, Scotland, under Professor Douglas McGregor which culminated with me being awarded a PhD in 1995 [52], the title of which was “Negative Feedback as an Organising Principle for Arti?cial Neural Networks”. Naturally enough, having established this theme, when I began to sup- vise PhD students of my own, we continued to develop this concept and this book owes much to the research and theses of these students at the Applied Computational Intelligence Research Unit in the University of Paisley . All of Chapters 3 to 8 deal with single stream arti?cial neural networks.
Heat and Mass Transfer
This comprehensive textbook provides readers with a firm foundation in the principles of heat and mass transfer and shows them how to solve problems by applying modern methods. The basic theory is developed systematically, and the solution methods to all important problems are covered in detail. The second edition incorporates state-of-the-art findings on heat and mass transfer correlations. Therefore, this book will be useful not only to upper- and graduate-level students, but also to practicing scientists and engineers. Many worked-out examples and numerous exercises with their solutions will facilitate learning and understanding, and an appendix includes data on key properties of important substances.
Healthy Minds in the Twentieth Century : In and Beyond the Asylum
This book contributes a new dimension to the study of mental health and psychiatry in the twentieth century. It takes the present literature beyond the ‘asylum and after’ paradigm to explore the multitude of spaces that have been permeated by concerns about mental well-being and illness.
Healthcare, Frugal Innovation, and Professional Voluntarism : A Cost-Benefit Analysis
This book investigates what international placements of healthcare employees in low resource settings add to the UK workforce and the efficacy of the its national health system. The authors present empirical data collected from a volunteer deployment project in Uganda focused on reducing maternal and new-born mortality and discuss the learning and experiential outcomes for UK health care professionals acting as long term volunteers in low resource settings. They also develop a model for structured placement that offers optimal learning and experiential outcomes and minimizes risk, while shedding new light on the role that international placements play as part of continuing professional development both in the UK and in other sending countries.
Healthcare solutions using machine learning and informatics
Covers novel and innovative solutions for the healthcare that apply machine learning and biomedical informatics technology. The healthcare sector is one of the most critical in society. This book presents a series of artificial intelligence, machine learning, intelligent IoT-based solutions for medical image analysis, medical big data processing, disease predictions. Machine learning and artificial intelligence use cases in healthcare presented in the book give researchers, practitioners, and students a wide range of practical examples of cross-domain convergence. The wide variety of topics covered include: Artificial Intelligence in healthcare Machine learning solutions for such disease as diabetes, arthritis, cardiovascular disease, and COVID-19 Big data analytics solutions for healthcare data processing Reliable biomedical applications using AI models Intelligent IoT in healthcare. The book explains fundamental concepts as well as the advanced use cases illustrating how to apply emerging technologies such as machine learning, AI models, data informatics into practice to tackle challenges in the field of healthcare with real-world scenarios. Chapters contributed by noted academicians and professionals examine various solutions, frameworks, applications, case studies, and best practices in the healthcare domain
Health Information Science ; 9th International Conference, HIS 2020, Amsterdam, The Netherlands, October 20–23, 2020, Proceedings
This book constitutes the proceedings of the 9th International Conference on Health Information Science, HIS 2020, which took place in Amsterdam, The Netherlands, during October 20-23, 2020. The 11 full papers and 6 short papers presented in this volume were carefully reviewed and selected from 62 submissions. They were organized in topical sections named: mental health; medical record processing; medical information systems; medical diagnosis with machine learning; and health behavior and medication.
HCI related papers of Interacción 2004 ; Conference proceedings
The present book contains a collection of the best papers presented at the 5th International Conference on Interacción Persona Ordenador (IPO) (which is Human Computer Interaction in Spanish), which took place in th th Lleida on May 5 -7 , 2004. . The main goals of Interacción 2004 were: To expand the conference scope with internationally recognised invited speakers. The plenary talks were presented by Alan Dix, Yvonne Rogers, Geritt van der Veer, and Angel Puerta. To open the participation to Spanish speaker worldwide in order to be a point of reference of this discipline not only in Spain but also in the wider Spanish speaking community. This goal was reached through a very diverse program which included panels and posters sessions, where many different aspect of the Human Computer Interaction (HCI) were presented. All through the program, research from outside Spain was reflected through the contributions from people of other countries.
HCI and usability for medicine and health care ; 3rd Symposium of the Workgroup Human-computer interaction and usability engineering of the Austrian Computer Society, USAB 2007 Graz, Austria, November, 22, 2007, Proceedings
The work group Human–Computer Interaction & Usability Engineering (HCI&UE) of the Austrian Computer Society (OCG) serves as a platform for interdisciplinary exchange, research and development. Our 2007 topic was “Human–Computer Interaction for Medicine and Health Care” (HCI4MED), Medical information systems are already extremely sophisticated and technological performance increases exponentially.
HCI and usability for education and work ; 4th Symposium of the Workgroup Human-Computer Interaction and Usability Engineering of the Austrian Computer Society, USAB 2008, Graz, Austria, November 20-21, 2008. Proceedings
This book constitutes the refereed proceedings of the 4th Usability Symposium of the Human-Computer Interaction and Usability Engineering Workgroup of the Austrian Computer Society, USAB 2008, held in Graz, Austria, in November 2008.The 7 revised full papers and 26 revised short papers presented were carefully reviewed and selected from 85 submissions. The papers are organized in topical sections on cognitive processes and end user experience, social software and collaborative knowledge development, knowledge processing, assessment and human performance.
Hardware Verification with SystemVerilog : An Object-Oriented Framework
Verification is increasingly complex, and SystemVerilog is one of the languages that the verification community is turning to. However, no language by itself can guarantee success without proper techniques. Object-oriented programming (OOP), with its focus on managing complexity, is ideally suited to this task. With this handbook—the first to focus on applying OOP to SystemVerilog—we’ll show how to manage complexity by using layers of abstraction and base classes. By adapting these techniques, you will write more "reasonable" code, and build efficient and reusable verification components. Both a learning tool and a reference, this handbook contains hundreds of real-world code snippets and three professional verification-system examples.
Hands-on question answering systems with BERT : Applications in neural networks and natural language processing
Begins with an overview of the technology landscape behind BERT. It takes you through the basics of NLP, including natural language understanding with tokenization, stemming, and lemmatization, and bag of words. Next, you’ll look at neural networks for NLP starting with its variants such as recurrent neural networks, encoders and decoders, bi-directional encoders and decoders, and transformer models. Along the way, you’ll cover word embedding and their types along with the basics of BERT. After this solid foundation, you’ll be ready to take a deep dive into BERT algorithms such as masked language models and next sentence prediction. You’ll see different BERT variations followed by a hands-on example of a question answering system. You will: Examine the fundamentals of word embeddings / Apply neural networks and BERT for various NLP tasks / Develop a question-answering system from scratch / Train question-answering systems for your own data
Handbook on Quality and Standardisation in E-Learning
The handbook provides a cross-national perspective on these issues and draws a clear picture of the situation in quality development and standardisation. It covers topics of a rather foundational nature in quality and standardisation research as well as descriptions of quality approaches, instruments, standards, experiences and best practices. The Handbook is directed to learners, professionals, researchers and policy makers – people creating the next generation of learning.
