Dental materials: latest advances and prospects ; Vol. II
Almost all fields of dentistry are closely related to newly developed materials, and all clinical improvements often follow or go hand in hand with the creation and development of innovative and higher-performing materials, instruments, and equipment. Thanks to the application of contemporary dental materials, the effectiveness of clinical dentistry has witnessed remarkable advances. This Special Issue contains high-quality research articles, clinical studies, review articles, and case reports focused on the latest advances and prospects of dental materials concerning all fields of dentistry.
Dental management of sleep disorders ; 2nd ed.
A clinically focused, updated, and expanded edition of the leading resource on the dental management of sleep disorders. Ddelivers a focused and authoritative exploration of the dentist’s role in managing patients with sleep problems, especially sleep-related breathing disorders and bruxism. Includes a variety of revealing case studies that examine the treatment of different sleep disorders, as well as: Thorough introductions to the societal impact of sleep disorders and human sleep architecture and functional anatomy of the airway Comprehensive explorations of the pathophysiology and classification of sleep disorders and sleep disorders in the pediatric population Practical discussions of medical disorders related to obstructive sleep apnea and the dental and orofacial consequences of sleep-related breathing disorders In-depth examinations of the role and interaction of the dentist with the sleep physician and sleep study center
Dental fear and anxiety in pediatric patients: Practical strategies to help children cope
A comprehensive guide to pediatric dental fear/anxiety (DFA) and phobia that will provide practitioners with a full understanding of the etiology, prevalence, assessment, and management of these conditions. The coping styles of children when under stress are explored, with discussion of their relevance to the assessment visit and treatment allocation. Practical treatment techniques are comprehensively covered, from non-pharmacological behavioral strategies relevant for children with no or mild DFA to those approaches more appropriate for children with severe DFA/phobia. The importance of the use of language and communication skills to build rapport and allay anxiety is explored. Relaxation and hypnosis techniques are described, with guidance on how to introduce these to patients and their parents/carers. Techniques that help children cope when receiving injections are detailed, including systematic needle desensitization
Dental Care for Children with Special Needs : A Clinical Guide
This concise manual offers best practice guidance on dental treatment of pediatric patients with special health care needs (CSHCN). Readers will find up-to-date information on case-based treatment planning, alternative caries management strategies, the use of behavioral and pharmacological interventions to facilitate delivery of quality treatment, and a team approach to care.
Dental biomaterials: from fundamental principles to clinical applications
Novel approaches are being developed to prevent and treat prevalent oral diseases like dental caries, periodontitis, and oral cancer. Researchers are also exploring the potential of biomaterials in regenerative dentistry, such as promoting bone growth and repairing damaged oral tissues.The ongoing research and development in dental materials and biomaterials holds great promise for improving oral health outcomes. However, it is imperative to maintain a sustained focus on research to fully leverage their potential and effectively address the existing gaps in dental care.In the special issue titled "Dental Biomaterials: From Fundamental Principles to Clinical Applications," significant findings have emerged from a variety of sources, including in vitro experiments and clinical trials.
Dendrimer Catalysis
catalytically active dendrimers have emerged as a class of molecular catalysts that has substantially enriched the field of homogeneous (and in part heterogeneous) catalysis. A general survey of transition metal dendrimer catalysts and the way they have developed is followed by in-depth discussions of dendritic transition metal catalysis based on non-covalent catalyst-support interaction and an overview of the rapidly growing field of stereoselective dendrimer catalysis. The development of dendrimer-encapsulated bimetallic nanoparticles has provided the interface with heterogeneous colloid catalysis. As cheaper and readily accessible alternatives to regular dendrimers, hyperbranched polymers are increasingly being used as catalyst platforms. These topics are complemented by a review of metallodendritic exoreptors for the redox recognition of oxo-anions and halides.
Democracy in an Age of Globalisation
In Democracy in an Age of Globalisation, Otfried Höffe develops a comprehensive analysis of the demands, which the process of globalization exerts on the political organisations of humanity. The author starts from a diagnosis of the process of globalisation and frees its concept from its economistic narrowing: Globalisation is a comprehensive process which puts new strains on the economies and political systems of the world, the cultural and social structures of peoples. The scope of its challenges demands solutions, which transcend the powers of the classical nation-state. The question central to the book can be formulated as follows: "How can the social, moral and legal achievements of the nation-state be retained while its structure is reshaped to satisfy the requirements of a globalised world?"
Delft Pneumatic Bipeds
Walking is simple for most of us, but two-legged robots (bipeds) are often slow, complex, inefficient, heavy, and have robotic-looking motions. What makes human walking so graceful? Can this be replicated with human-like robots? Martijn Wisse and Richard Q. van der Linde provide a detailed description of their research on pneumatic biped robots at the Delft University of Technology, The Netherlands. The book covers the basic theory - passive dynamic walking - and explains the implementation of pneumatic McKibben muscles in a series of successful prototypes.
Defence Industry Applications of Autonomous Agents and Multi-Agent Systems
In this book defense and security related applications are increasingly being tackled by researchers and practioners using technologies developed in the field of Intelligent Agent research.
Deepfake detection
The rise of large language models (LLMs) and the increasing sophistication of deepfake images have made detecting synthetic content a pressing challenge. Several approaches have been proposed to tackle this problem, including statistical analysis, and machine learning algorithms. In this project, A novel zero-shot approach is proposed that utilizes the power of LLMs to detect fake text. The pre-trained LLM is fine-tuned to enhance its ability to differentiate real and fake text. The approach uses the LLM to detect text by analyzing the log probabilities of the text. For detecting fake images, computer vision algorithms and neural networks are used to analyze facial features. The facial region is cropped and preprocessed and the neural network identifies patterns indicative of synthetic content.
Deep Statistical Comparison for Meta-heuristic Stochastic Optimization Algorithms
Presents a comprehensive comparison of the performance of stochastic optimization algorithms / Includes an introduction to benchmarking and statistical analysis / Provides a web-based tool for making statistical comparisons of optimization algorithms / Overviews of the current approaches used to analyze algorithm performance in a range of common scenarios, while also addressing issues that are often overlooked. In turn, it shows how these issues can be easily avoided by applying the principles that have produced Deep Statistical Comparison and its variants. The focus is on statistical analyses performed using single-objective and multi-objective optimization data. At the end of the book, examples from a recently developed web-service-based e-learning tool (DSCTool) are presented. The tool provides users with all the functionalities needed to make robust statistical comparison analyses in various statistical scenarios. The book is intended for newcomers to the field and experienced researchers alike. For newcomers, it covers the basics of optimization and statistical analysis, familiarizing them with the subject matter before introducing the Deep Statistical Comparison approach. Experienced researchers can quickly move on to the content on new statistical approaches.
Deep Data Analytics for New Product Development
The benefits of reading this book are twofold. The first is an understanding of the stages of a new product development process from ideation through launching and tracking, each supported by information about customers. The second benefit is an understanding of the deep data analytics for extracting that information from data. These analytics, drawn from the statistics, econometrics, market research, and machine learning spaces, are developed in detail and illustrated at each stage of the process with simulated data. The stages of new product development and the supporting deep data analytics at each stage are not presented in isolation of each other, but are presented as a synergistic whole.
Decentralisation and Privatisation in Education : The Role of the State
The book examines the overall interplay between privatisation, decentralisation and the role of the state. The authors draw upon recent studies in the areas of decentralisation, privatisation and the role of the state in education. By referring to Bourdieu’s call for critical policy analysts to engage in a ‘critical sociology’ of their own contexts of practice, and poststructuralist and postmodernist pedagogy, this collection of book chapters demonstrate how central discourses surrounding the debate of privatisation, decentralisation and the role of the state are formed in the contexts of dominant ideology, power, and culturally and historically derived perceptions and practices.
Data-Driven 3D Facial Animation
Data-Driven 3D Facial Animation: systematically describes the emerging data-driven techniques developed over the last ten years or so. Although data-driven 3D facial animation is used more and more in animation practice, to date there have been very few books that specifically address the techniques involved. Comprehensive in scope, the book covers not only traditional lip-sync (speech animation), but also expressive facial motion, facial gestures, facial modeling, editing and sketching, and facial animation transferring. It provides an up-to-date reference source for academic research and for professionals working in the facial animation field.
Database performance at scale: a practical guide
Optimizing database performance at the scale required for today’s data-intensive applications often requires more than performance tuning and scaling out. This book shares commonly overlooked considerations, pitfalls, and opportunities that have helped many teams break through database performance plateaus. It’s neither a definitive guide to distributed databases nor a beginner’s resource. Rather, it’s a look at the many different factors that impact performance, and our top field-tested recommendations for navigating them. Chapter 1 provides two (fun and fanciful) tales that surface some of the many roadblocks you might face and highlight the range of strategies for navigating around them.
Data science, AI, and machine learning in drug development
The confluence of big data, AI, and machine learning has led to a paradigm shift in how innovative medicines are developed and healthcare delivered. To fully capitalize on these technological advances, it is essential to systematically harness data from diverse sources and leverage digital technologies and advanced analytics to enable data-driven decisions. Data science stands at a unique moment of opportunity to lead such a transformative change. Intended to be a single source of information, Data Science, AI, and Machine Learning in Drug Research and Development covers a wide range of topics on the changing landscape of drug R&D, emerging applications of big data, AI and machine learning in drug development, and the build of robust data science organizations to drive biopharmaceutical digital transformations
Data Science and Classification
This volume provides new methodological developments in data analysis and classification. A wide range of topics is covered that includes the measurement of similarity and dissimilarity, methods for classification and clustering, network and graph analyses, analysis of symbolic data, and web mining. Apart from structural and theoretical results the book shows how to apply the proposed to a variety of problems, for example in medicine, microarray analysis, social network structures, and music. The combination of new methodological advances with the wide range of real applications collected in this volume is of special value for researchers when choosing the appropriate among newly developed analytical tools for their research problems in classification and data analysis.
Data mining and Knowledge discovery handbook
Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository. This book first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes with in-depth descriptions of data mining applications in various interdisciplinary industries including finance, marketing, medicine, biology, engineering, telecommunications, software, and security.
Data Mining : A Knowledge Discovery Approach
This book on data mining details the unique steps of the knowledge discovery process that prescribe the sequence in which data mining projects should be performed. Data Mining offers an authoritative treatment of all development phases from problem and data understanding through data preprocessing to deployment of the results. This knowledge discovery approach is what distinguishes this book from other texts in the area. It concentrates on data preparation, clustering and association rule learning (required for processing unsupervised data), decision trees, rule induction algorithms, neural networks, and many other data mining methods, focusing predominantly on those which have proven successful in data mining projects.
Cyberspace security and defense : Research issues ; Proceedings of the NATO advanced research workshop on cyberspace security and defense : Research issues, Gdansk, Poland, from 6 to 9 September 2004.
The development of Internet, mobile communications, distributed computing, computer software and databases storing essential enterprise information has helped to conduct business and personal communication between individual people. and it has created many opportunities for abuse, fraud and expensive damage. This book is a selection of the best papers presented at the NATO Advanced Research Workshop dealing with the Subject of Cyberspace Security and Defense. The level of the individual contributions in the volume is advanced and suitable for senior and graduate students, researchers and technologists who wish to get some feeling of the state of the art in several sub-disciplines of Cyberspace security.



















